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Sample records for abnormal screening mammogram

  1. The impact of obesity on follow-up after an abnormal screening mammogram

    PubMed Central

    Schur, Ellen A.; Elmore, Joann E.; Onega, Tracy; Wernli, Karen J.; Sickles, Edward A.; Haneuse, Sebastien

    2011-01-01

    Background Effective breast cancer screening and early detection are crucial for obese women, who experience a higher incidence of the disease and present at later stages. Methods We examined the association between body mass index (BMI) and timeliness of follow-up after 241,222 abnormal screening mammograms performed on 201,470 women in the Breast Cancer Surveillance Consortium. Each mammogram had one of three recommendations for follow-up: short-interval follow-up; immediate additional diagnostic imaging; and biopsy/surgical consultation. We used logistic regression to estimate the adjusted effect of BMI on any recorded follow-up within 270 days of the recommendation; linear regression was used to model the mean follow-up time among those with recorded follow-up. Results As compared to normal-weight women, higher BMI was associated with slightly increased odds of follow-up among women who received a recommendation for short-interval follow-up (odds ratios (ORs) 1.03–1.10; p=0.04) or immediate additional imaging (ORs 1.03–1.09; p=0.01). No association was found for biopsy/surgical consultation recommendations (p=0.90). Among those with recorded follow-up, higher BMI was associated with longer mean time to follow-up for both short-interval (3–10 days; p<0.001) and additional imaging recommendations (2–3 days; p<0.001), but not biopsy/surgical consultation (p=0.06). Regardless of statistical significance, actual differences in days to follow-up across BMI groups were small and unlikely to be clinically significant. Conclusions Once obese women access screening mammography, their follow-up after abnormal results is similar to that of normal-weight women. Impact Efforts to improve early detection of breast cancer in obese women should focus elsewhere, such as improving participation in screening mammography. PMID:22144503

  2. Timeliness of Follow-up after Abnormal Screening Mammogram: Variability of Facilities

    PubMed Central

    Haneuse, Sebastien J. P. A.; Geller, Berta M.; Buist, Diana S. M.; Miglioretti, Diana L.; Brenner, R. James; Smith-Bindman, Rebecca; Taplin, Stephen H.

    2011-01-01

    Purpose: To describe the timeliness of follow-up care in community-based settings among women who receive a recommendation for immediate follow-up during the screening mammography process and how follow-up timeliness varies according to facility and facility-level characteristics. Materials and Methods: This was an institutional review board–approved and HIPAA-compliant study. Screening mammograms obtained from 1996 to 2007 in women 40–80 years old in the Breast Cancer Surveillance Consortium were examined. Inclusion criteria were a recommendation for immediate follow-up at screening, or subsequent imaging, and observed follow-up within 180 days of the recommendation. Recommendations for additional imaging (AI) and biopsy or surgical consultation (BSC) were analyzed separately. The distribution of time to follow-up care was estimated by using the Kaplan-Meier estimator. Results: Data were available on 214 897 AI recommendations from 118 facilities and 35 622 BSC recommendations from 101 facilities. The median time to subsequent follow-up care after recommendation was 14 days for AI and 16 days for BSC. Approximately 90% of AI follow-up and 81% of BSC follow-up occurred within 30 days. Facilities with higher recall rates tended to have longer AI follow-up times (P < .001). Over the study period, BSC follow-up rates at 15 and 30 days improved (P < .001). Follow-up times varied substantially across facilities. Timely follow-up was associated with larger volumes of the recommended procedures but not notably associated with facility type nor observed facility-level characteristics. Conclusion: Most patients with follow-up returned within 3 weeks of the recommendation. © RSNA, 2011 PMID:21900620

  3. Vessel segmentation in screening mammograms

    NASA Astrophysics Data System (ADS)

    Mordang, J. J.; Karssemeijer, N.

    2015-03-01

    Blood vessels are a major cause of false positives in computer aided detection systems for the detection of breast cancer. Therefore, the purpose of this study is to construct a framework for the segmentation of blood vessels in screening mammograms. The proposed framework is based on supervised learning using a cascade classifier. This cascade classifier consists of several stages where in each stage a GentleBoost classifier is trained on Haar-like features. A total of 30 cases were included in this study. In each image, vessel pixels were annotated by selecting pixels on the centerline of the vessel, control samples were taken by annotating a region without any visible vascular structures. This resulted in a total of 31,000 pixels marked as vascular and over 4 million control pixels. After training, the classifier assigns a vesselness likelihood to the pixels. The proposed framework was compared to three other vessel enhancing methods, i) a vesselness filter, ii) a gaussian derivative filter, and iii) a tubeness filter. The methods were compared in terms of area under the receiver operating characteristics curves, the Az values. The Az value of the cascade approach is 0:85. This is superior to the vesselness, Gaussian, and tubeness methods, with Az values of 0:77, 0:81, and 0:78, respectively. From these results, it can be concluded that our proposed framework is a promising method for the detection of vessels in screening mammograms.

  4. The effect of digitising film prior mammograms on radiologists' performance in breast screening: a JAFROC study

    NASA Astrophysics Data System (ADS)

    Taylor-Phillips, Sian; Wallis, Matthew G.; Duncan, Alison; Gale, Alastair G.

    2009-02-01

    After the introduction of digital mammography the film mammograms from the previous screening round (the prior mammograms) can be displayed in a variety of ways. This paper investigates the performance of radiologists reading digital screening mammograms with the prior mammograms displayed either as film or in digitised format. A set of 162 cases was assembled, each with two view digital mammograms and two view film prior mammograms. Of these cases 66 were malignant as proven by biopsy, and the others were normal or benign. The film prior mammograms were digitised at 75μm. Eight participants, with four to seventeen years experience of reading screening mammograms, each read the mammograms twice; once with the digitised prior mammograms displayed on the digital workstation, and once with the film prior mammograms displayed on an adjacent multi-viewer. The two viewings were at least one month apart. Participants marked the location of abnormalities on a paper copy of the mammograms and rated the probability of malignancy of each abnormality. Participants were video-taped whilst reading the cases to enable analysis of gross eye movements for information regarding the level of use of the prior mammograms. JAFROC analysis showed no difference in performance between the conditions.

  5. Mammograms

    MedlinePlus

    ... Where can I find current recommendations for screening mammography? What is the best method of detecting breast ... implants do about screening mammograms? What is digital mammography? How is it different from conventional (film) mammography? ...

  6. Mammogram

    MedlinePlus

    Mammography; Breast cancer - mammography; Breast cancer - screening mammography; Breast lump - mammogram; Breast tomosynthesis ... images. This does not always mean you have breast cancer. Your health care provider may simply need to ...

  7. The classification of normal screening mammograms

    NASA Astrophysics Data System (ADS)

    Ang, Zoey Z. Y.; Rawashdeh, Mohammad A.; Heard, Robert; Brennan, Patrick C.; Lee, Warwick; Lewis, Sarah J.

    2016-03-01

    Rationale and objectives: To understand how breast screen readers classify the difficulty of normal screening mammograms using common lexicon describing normal appearances. Cases were also assessed on their suitability for a single reader strategy. Materials and Methods: 15 breast readers were asked to interpret a test set of 29 normal screening mammogram cases and classify them by rating the difficulty of the case on a five-point Likert scale, identifying the salient features and assessing their suitability for single reading. Using the False Positive Fractions from a previous study, the 29 cases were classified into 10 "low", 10 "medium" and nine "high" difficulties. Data was analyzed with descriptive statistics. Spearman's correlation was used to test the strength of association between the difficulty of the cases and the readers' recommendation for single reading strategy. Results: The ratings from readers in this study corresponded to the known difficulty level of cases for the 'low' and 'high' difficulty cases. Uniform ductal pattern and density, symmetrical mammographic features and the absence of micro-calcifications were the main reasons associated with 'low' difficulty cases. The 'high' difficulty cases were described as having `dense breasts'. There was a statistically significant negative correlation between the difficulty of the cases and readers' recommendation for single reading (r = -0.475, P = 0.009). Conclusion: The findings demonstrated potential relationships between certain mammographic features and the difficulty for readers to classify mammograms as 'normal'. The standard Australian practice of double reading was deemed more suitable for most cases. There was an inverse moderate association between the difficulty of the cases and the recommendations for single reading.

  8. Timed Efficiency of Interpretation of Digital and Film-Screen Screening Mammograms

    PubMed Central

    Haygood, Tamara Miner; Wang, Jihong; Atkinson, E. Neely; Lane, Deanna; Stephens, Tanya W.; Patel, Parul; Whitman, Gary J.

    2014-01-01

    OBJECTIVE Our objective was to compare interpretation speeds for digital and film-screen screening mammograms to test whether other variables might affect interpretation times and thus contribute to the apparent difference in interpretation speed between digital mammograms and film-screen mammograms, and to test whether the use of digital rather than film comparison studies might result in significant time savings. MATERIALS AND METHODS Four readers were timed in the course of actual clinical interpretation of digital mammograms and film-screen mammograms. Interpretation times were compared for subgroups of studies based on the interpretation of the study by BI-RADS code, the number of images, the presence or absence of comparison studies and the type of comparison study, and whether the radiologist personally selected and hung additional films; the same comparisons were made among individual readers. RESULTS For all four readers, mean interpretation times were longer for digital mammograms than for film-screen mammograms, with differences ranging from 76 to 202 seconds. The difference in interpretation speed between digital and film-screen mammograms was independent of other variables. Digital mammogram interpretation times were significantly longer than film-screen mammogram interpretation times regardless of whether the digital mammograms were matched with film or digital comparison studies. CONCLUSION In screening mammography interpretation, digital mammograms take longer to read than film-screen mammograms, independent of other variables. Exclusive use of digital comparison studies may not cause interpretation times to drop enough to approach the interpretation time required for film-screen mammograms. PMID:19098202

  9. Mammograms

    MedlinePlus

    ... a digital rather than a film mammogram. Digital mammography may offer these benefits: Long-distance consultations with ... offices. The Food and Drug Administration (FDA) certifies mammography facilities that meet strict quality standards for their ...

  10. Medical Advocacy and Supportive Environments for African-Americans Following Abnormal Mammograms.

    PubMed

    Molina, Yamile; Hempstead, Bridgette H; Thompson-Dodd, Jacci; Weatherby, Shauna Rae; Dunbar, Claire; Hohl, Sarah D; Malen, Rachel C; Ceballos, Rachel M

    2015-09-01

    African-American women experience disproportionately adverse outcomes relative to non-Latina White women after an abnormal mammogram result. Research has suggested medical advocacy and staff support may improve outcomes among this population. The purpose of the study was to understand reasons African-American women believe medical advocacy to be important and examine if and how staff can encourage and be supportive of medical advocacy. A convenience-based sample of 30-74-year-old women who self-identified as African-American/Black/of African descent and who had received an abnormal mammogram result was recruited from community-based organizations, mobile mammography services, and the local department of health. This qualitative study included semi-structured interviews. Patients perceived medical advocacy to be particularly important for African-Americans, given mistrust and discrimination present in medical settings and their own familiarity with their bodies and symptoms. Respondents emphasized that staff can encourage medical advocacy through offering information in general in a clear, informative, and empathic style. Cultural competency interventions that train staff how to foster medical advocacy may be a strategy to improve racial disparities following an abnormal mammogram.

  11. Medical Advocacy and Supportive Environments for African Americans following Abnormal Mammograms

    PubMed Central

    Molina, Yamile; Hempstead, Bridgette H.; Thompson-Dodd, Jacci; Weatherby, Shauna Rae; Dunbar, Claire; Hohl, Sarah D.; Malen, Rachel C.; Ceballos, Rachel M.

    2014-01-01

    African American women experience disproportionately adverse outcomes relative to non-Latina White women after an abnormal mammogram result. Research has suggested medical advocacy and staff support may improve outcomes among this population. The purpose of the study was to understand reasons African American women believe medical advocacy to be important and examine if and how staff can encourage and be supportive of medical advocacy. A convenience-based sample of 30–74 year old women who self-identified as African American/Black/of African descent and who had received an abnormal mammogram result was recruited from community-based organizations, mobile mammography services, and the local department of health. This qualitative study included semi-structured interviews. Patients perceived medical advocacy to be particularly important for African Americans, given mistrust and discrimination present in medical settings and their own familiarity with their bodies and symptoms. Respondents emphasized staff can encourage medical advocacy through offering information in general in a clear, informative, and empathic style. Cultural competency interventions that train staff how to foster medical advocacy may be a strategy to improve racial disparities following an abnormal mammogram. PMID:25270556

  12. Mass detection with digitized screening mammograms by using Gabor features

    NASA Astrophysics Data System (ADS)

    Zheng, Yufeng; Agyepong, Kwabena

    2007-03-01

    Breast cancer is the leading cancer among American women. The current lifetime risk of developing breast cancer is 13.4% (one in seven). Mammography is the most effective technology presently available for breast cancer screening. With digital mammograms computer-aided detection (CAD) has proven to be a useful tool for radiologists. In this paper, we focus on mass detection that is a common category of breast cancers relative to calcification and architecture distortion. We propose a new mass detection algorithm utilizing Gabor filters, termed as "Gabor Mass Detection" (GMD). There are three steps in the GMD algorithm, (1) preprocessing, (2) generating alarms and (3) classification (reducing false alarms). Down-sampling, quantization, denoising and enhancement are done in the preprocessing step. Then a total of 30 Gabor filtered images (along 6 bands by 5 orientations) are produced. Alarm segments are generated by thresholding four Gabor images of full orientations (Stage-I classification) with image-dependent thresholds computed via histogram analysis. Next a set of edge histogram descriptors (EHD) are extracted from 24 Gabor images (6 by 4) that will be used for Stage-II classification. After clustering EHD features with fuzzy C-means clustering method, a k-nearest neighbor classifier is used to reduce the number of false alarms. We initially analyzed 431 digitized mammograms (159 normal images vs. 272 cancerous images, from the DDSM project, University of South Florida) with the proposed GMD algorithm. And a ten-fold cross validation was used for testing the GMD algorithm upon the available data. The GMD performance is as follows: sensitivity (true positive rate) = 0.88 at false positives per image (FPI) = 1.25, and the area under the ROC curve = 0.83. The overall performance of the GMD algorithm is satisfactory and the accuracy of locating masses (highlighting the boundaries of suspicious areas) is relatively high. Furthermore, the GMD algorithm can

  13. An artificial intelligent algorithm for tumor detection in screening mammogram.

    PubMed

    Zheng, L; Chan, A K

    2001-07-01

    Cancerous tumor mass is one of the major types of breast cancer. When cancerous masses are embedded in and camouflaged by varying densities of parenchymal tissue structures, they are very difficult to be visually detected on mammograms. This paper presents an algorithm that combines several artificial intelligent techniques with the discrete wavelet transform (DWT) for detection of masses in mammograms. The AI techniques include fractal dimension analysis, multiresolution markov random field, dogs-and-rabbits algorithm, and others. The fractal dimension analysis serves as a preprocessor to determine the approximate locations of the regions suspicious for cancer in the mammogram. The dogs-and-rabbits clustering algorithm is used to initiate the segmentation at the LL subband of a three-level DWT decomposition of the mammogram. A tree-type classification strategy is applied at the end to determine whether a given region is suspicious for cancer. We have verified the algorithm with 322 mammograms in the Mammographic Image Analysis Society Database. The verification results show that the proposed algorithm has a sensitivity of 97.3% and the number of false positive per image is 3.92.

  14. Understanding the patient-provider communication needs and experiences of Latina and non-Latina White women following an abnormal mammogram.

    PubMed

    Molina, Yamile; Hohl, Sarah D; Ko, Linda K; Rodriguez, Edgar A; Thompson, Beti; Beresford, Shirley A A

    2014-12-01

    Latinas are more likely to delay recommended follow-up care than non-Latina White (NLW) women after an abnormal mammogram result. Ethnic differences in communication needs and experiences with health-care staff and providers may contribute to these delays as well as satisfaction with care. Nonetheless, little research has explored the aspects of communication that may contribute to patient comprehension, adherence to follow-up care, and satisfaction across ethnicity. The purpose of this exploratory, qualitative study was to identify patients' communication needs and experiences with follow-up care among Latina and NLW women who received an abnormal mammogram. We conducted 41 semi-structured interviews with 19 Latina and 22 NLW women between the ages of 40 and 74 who had received an abnormal mammogram. Communication themes indicated that women's needs and experiences concerning abnormal mammograms and follow-up care varied across ethnicity. Latinas and NLW women appeared to differ in their comprehension of abnormal results and follow-up care as a result of language barriers and health literacy. Both groups of women identified clear, empathic communication as being important in patient-provider communication; however, Latinas underscored the need for warm communicative styles, and NLW women emphasized the importance of providing more information. Women with high levels of satisfaction with patient-provider interactions appeared to have positive perspectives of subsequent screening and cancer treatment. To improve patient satisfaction and adherence to follow-up care among Latinas, educational programs are necessary to counsel health-care professionals with regard to language, health literacy, and empathic communication needs in health-care service delivery.

  15. Ultrasound screening for fetal abnormalities.

    PubMed

    Chitty, L S

    1995-12-01

    Ultrasound screening for fetal abnormalities is increasingly becoming part of routine antenatal care in Europe and the UK. However, there has been very little formal evaluation of this practice. In this article reports of routine ultrasound screening are reviewed and the advantages and disadvantages discussed. The majority of routine anomaly scanning is done in the second trimester but there may be a case for screening at other times in pregnancy and alternative anomaly screening policies are discussed. PMID:8710765

  16. Normal and abnormal tissue identification system and method for medical images such as digital mammograms

    NASA Technical Reports Server (NTRS)

    Heine, John J. (Inventor); Clarke, Laurence P. (Inventor); Deans, Stanley R. (Inventor); Stauduhar, Richard Paul (Inventor); Cullers, David Kent (Inventor)

    2001-01-01

    A system and method for analyzing a medical image to determine whether an abnormality is present, for example, in digital mammograms, includes the application of a wavelet expansion to a raw image to obtain subspace images of varying resolution. At least one subspace image is selected that has a resolution commensurate with a desired predetermined detection resolution range. A functional form of a probability distribution function is determined for each selected subspace image, and an optimal statistical normal image region test is determined for each selected subspace image. A threshold level for the probability distribution function is established from the optimal statistical normal image region test for each selected subspace image. A region size comprising at least one sector is defined, and an output image is created that includes a combination of all regions for each selected subspace image. Each region has a first value when the region intensity level is above the threshold and a second value when the region intensity level is below the threshold. This permits the localization of a potential abnormality within the image.

  17. Consistency of breast density categories in serial screening mammograms: A comparison between automated and human assessment.

    PubMed

    Holland, Katharina; van Zelst, Jan; den Heeten, Gerard J; Imhof-Tas, Mechli; Mann, Ritse M; van Gils, Carla H; Karssemeijer, Nico

    2016-10-01

    Reliable breast density measurement is needed to personalize screening by using density as a risk factor and offering supplemental screening to women with dense breasts. We investigated the categorization of pairs of subsequent screening mammograms into density classes by human readers and by an automated system. With software (VDG) and by four readers, including three specialized breast radiologists, 1000 mammograms belonging to 500 pairs of subsequent screening exams were categorized into either two or four density classes. We calculated percent agreement and the percentage of women that changed from dense to non-dense and vice versa. Inter-exam agreement (IEA) was calculated with kappa statistics. Results were computed for each reader individually and for the case that each mammogram was classified by one of the four readers by random assignment (group reading). Higher percent agreement was found with VDG (90.4%, CI 87.9-92.9%) than with readers (86.2-89.2%), while less plausible changes from non-dense to dense occur less often with VDG (2.8%, CI 1.4-4.2%) than with group reading (4.2%, CI 2.4-6.0%). We found an IEA of 0.68-0.77 for the readers using two classes and an IEA of 0.76-0.82 using four classes. IEA is significantly higher with VDG compared to group reading. The categorization of serial mammograms in density classes is more consistent with automated software than with a mixed group of human readers. When using breast density to personalize screening protocols, assessment with software may be preferred over assessment by radiologists.

  18. Psychological Distress, Social Withdrawal, and Coping Following Receipt of an Abnormal Mammogram Among Different Ethnicities: A Mediation Model

    PubMed Central

    Molina, Yamile; Beresford, Shirley A.A.; Espinoza, Noah; Thompson, Beti

    2014-01-01

    Purpose/Objectives To explore ethnic differences in psychological distress and social withdrawal after receiving an abnormal mammogram result and to assess if coping strategies mediate ethnic differences. Design Descriptive correlational. Setting Two urban mobile mammography units and a rural community hospital in the state of Washington. Sample 41 Latina and 41 non-Latina Caucasian (NLC) women who had received an abnormal mammogram result. Methods Women completed standard sociodemographic questions, Impact of Event Scale–Revised, the social dimension of the Psychological Consequences Questionnaire, and the Brief COPE. Main Research Variables Ethnicity, psychological distress, social withdrawal, and coping. Findings Latinas experienced greater psychological distress and social withdrawal compared to NLC counterparts. Denial as a coping strategy mediated ethnic differences in psychological distress. Religious coping mediated ethnic differences in social withdrawal. Conclusions Larger population-based studies are necessary to understand how ethnic differences in coping strategies can influence psychological outcomes. This is an important finding that warrants additional study among women who are and are not diagnosed with breast cancer following an abnormal mammogram. Implications for Nursing Nurses may be able to work with Latina patients to diminish denial coping and consequent distress. Nurses may be particularly effective, given cultural values concerning strong interpersonal relationships and respect for authority figures. PMID:25158657

  19. A volumetric method for estimation of breast density on digitized screen-film mammograms.

    PubMed

    Pawluczyk, Olga; Augustine, Bindu J; Yaffe, Martin J; Rico, Dan; Yang, Jiwei; Mawdsley, Gordon E; Boyd, Norman F

    2003-03-01

    A method is described for the quantitative volumetric analysis of the mammographic density (VBD) from digitized screen-film mammograms. The method is based on initial calibration of the imaging system with a tissue-equivalent plastic device and the subsequent correction for variations in exposure factors and film processing characteristics through images of an aluminum step wedge placed adjacent to the breast during imaging. From information about the compressed breast thickness and technique factors used for taking the mammogram as well as the information from the calibration device, VBD is calculated. First, optical sensitometry is used to convert images to Log relative exposure. Second, the images are corrected for x-ray field inhomogeneity using a spherical section PMMA phantom image. The effectiveness of using the aluminum step wedge in tracking down the variations in exposure factors and film processing was tested by taking test images of the calibration device, aluminum step wedge and known density phantoms at various exposure conditions and also at different times over one year. Results obtained on known density phantoms show that VBD can be estimated to within 5% accuracy from the actual value. A first order thickness correction is employed to correct for inaccuracy in the compression thickness indicator of the mammography units. Clinical studies are ongoing to evaluate whether VBD can be a better indicator for breast cancer risk. PMID:12674236

  20. Bilateral Image Subtraction and Multivariate Models for the Automated Triaging of Screening Mammograms

    PubMed Central

    Celaya-Padilla, José; Martinez-Torteya, Antonio; Rodriguez-Rojas, Juan; Galvan-Tejada, Jorge; Treviño, Victor; Tamez-Peña, José

    2015-01-01

    Mammography is the most common and effective breast cancer screening test. However, the rate of positive findings is very low, making the radiologic interpretation monotonous and biased toward errors. This work presents a computer-aided diagnosis (CADx) method aimed to automatically triage mammogram sets. The method coregisters the left and right mammograms, extracts image features, and classifies the subjects into risk of having malignant calcifications (CS), malignant masses (MS), and healthy subject (HS). In this study, 449 subjects (197 CS, 207 MS, and 45 HS) from a public database were used to train and evaluate the CADx. Percentile-rank (p-rank) and z-normalizations were used. For the p-rank, the CS versus HS model achieved a cross-validation accuracy of 0.797 with an area under the receiver operating characteristic curve (AUC) of 0.882; the MS versus HS model obtained an accuracy of 0.772 and an AUC of 0.842. For the z-normalization, the CS versus HS model achieved an accuracy of 0.825 with an AUC of 0.882 and the MS versus HS model obtained an accuracy of 0.698 and an AUC of 0.807. The proposed method has the potential to rank cases with high probability of malignant findings aiding in the prioritization of radiologists work list. PMID:26240818

  1. Bilateral Image Subtraction and Multivariate Models for the Automated Triaging of Screening Mammograms.

    PubMed

    Celaya-Padilla, José; Martinez-Torteya, Antonio; Rodriguez-Rojas, Juan; Galvan-Tejada, Jorge; Treviño, Victor; Tamez-Peña, José

    2015-01-01

    Mammography is the most common and effective breast cancer screening test. However, the rate of positive findings is very low, making the radiologic interpretation monotonous and biased toward errors. This work presents a computer-aided diagnosis (CADx) method aimed to automatically triage mammogram sets. The method coregisters the left and right mammograms, extracts image features, and classifies the subjects into risk of having malignant calcifications (CS), malignant masses (MS), and healthy subject (HS). In this study, 449 subjects (197 CS, 207 MS, and 45 HS) from a public database were used to train and evaluate the CADx. Percentile-rank (p-rank) and z-normalizations were used. For the p-rank, the CS versus HS model achieved a cross-validation accuracy of 0.797 with an area under the receiver operating characteristic curve (AUC) of 0.882; the MS versus HS model obtained an accuracy of 0.772 and an AUC of 0.842. For the z-normalization, the CS versus HS model achieved an accuracy of 0.825 with an AUC of 0.882 and the MS versus HS model obtained an accuracy of 0.698 and an AUC of 0.807. The proposed method has the potential to rank cases with high probability of malignant findings aiding in the prioritization of radiologists work list.

  2. Closing the Gap in Mammogram Screening: An Experimental Intervention among Low-Income Hispanic Women in Community Health Clinics

    ERIC Educational Resources Information Center

    Deavenport, Alexis; Modeste, Naomi; Marshak, Helen Hopp; Neish, Christine

    2011-01-01

    A low rate of mammogram screening exists among low-income Hispanic women. To address this disparity, an experimental intervention containing audiovisual and written media was conducted using the health belief model as a framework. The purpose of this study was to determine if low-income Hispanic women, more than 40 years of age, who received…

  3. Evaluating radiographers' diagnostic accuracy in screen-reading mammograms: what constitutes a quality study?

    SciTech Connect

    Debono, Josephine C; Poulos, Ann E

    2015-03-15

    The aim of this study was to first evaluate the quality of studies investigating the diagnostic accuracy of radiographers as mammogram screen-readers and then to develop an adapted tool for determining the quality of screen-reading studies. A literature search was used to identify relevant studies and a quality evaluation tool constructed by combining the criteria for quality of Whiting, Rutjes, Dinnes et al. and Brealey and Westwood. This constructed tool was then applied to the studies and subsequently adapted specifically for use in evaluating quality in studies investigating diagnostic accuracy of screen-readers. Eleven studies were identified and the constructed tool applied to evaluate quality. This evaluation resulted in the identification of quality issues with the studies such as potential for bias, applicability of results, study conduct, reporting of the study and observer characteristics. An assessment of the applicability and relevance of the tool for this area of research resulted in adaptations to the criteria and the development of a tool specifically for evaluating diagnostic accuracy in screen-reading. This tool, with further refinement and rigorous validation can make a significant contribution to promoting well-designed studies in this important area of research and practice.

  4. Computer-aided detection system for clustered microcalcifications: comparison of performance on full-field digital mammograms and digitized screen-film mammograms

    NASA Astrophysics Data System (ADS)

    Ge, Jun; Hadjiiski, Lubomir M.; Sahiner, Berkman; Wei, Jun; Helvie, Mark A.; Zhou, Chuan; Chan, Heang-Ping

    2007-02-01

    We have developed a computer-aided detection (CAD) system to detect clustered microcalcifications automatically on full-field digital mammograms (FFDMs) and a CAD system for screen-film mammograms (SFMs). The two systems used the same computer vision algorithms but their false positive (FP) classifiers were trained separately with sample images of each modality. In this study, we compared the performance of the CAD systems for detection of clustered microcalcifications on pairs of FFDM and SFM obtained from the same patient. For case-based performance evaluation, the FFDM CAD system achieved detection sensitivities of 70%, 80% and 90% at an average FP cluster rate of 0.07, 0.16 and 0.63 per image, compared with an average FP cluster rate of 0.15, 0.38 and 2.02 per image for the SFM CAD system. The difference was statistically significant with the alternative free-response receiver operating characteristic (AFROC) analysis. When evaluated on data sets negative for microcalcification clusters, the average FP cluster rates of the FFDM CAD system were 0.04, 0.11 and 0.33 per image at detection sensitivity level of 70%, 80% and 90% compared with an average FP cluster rate of 0.08, 0.14 and 0.50 per image for the SFM CAD system. When evaluated for malignant cases only, the difference of the performance of the two CAD systems was not statistically significant with AFROC analysis.

  5. Racial Differences in False-Positive Mammogram Rates: Results from the ACRIN Digital Mammographic Imaging Screening Trial (DMIST)

    PubMed Central

    McCarthy, Anne Marie; Yamartino, Philip; Yang, Jianing; Bristol, Mirar; Conant, Emily; Armstrong, Katrina

    2015-01-01

    Background Mammography screening reduces breast cancer mortality, but false-positive tests are common. Few studies have assessed racial differences in false-positive rates. Objectives We compared false-positive mammography rates for black and white women, and the effect of patient and facility characteristics on false-positives. Research Design and Subjects Prospective cohort study. From a sample of the American College of Radiology Imaging Network (ACRIN) Digital Mammographic Imaging Screening Trial (DMIST), we identified black/African American (N=3176) or white (N=26,446) women with no prior breast surgery or breast cancer. Measures Race, demographics, and breast cancer risk factors were self-reported. Results of initial digital and film mammograms were assessed. False-positives were defined as a positive mammogram (Breast Imaging Reporting and Data System [BIRADS] category 0, 4, 5) with no cancer diagnosis within 15 months. Results The false-positive rate for digital mammograms was 9.2% for black women compared to 7.8% for white women (p=0.009). After adjusting for age, black women had 17% increased odds of false-positive digital mammogram compared to whites (OR=1.17, 95% CI 1.01-1.35, p=0.033). This association was attenuated after adjusting for patient factors, prior films and study site (OR=1.04, 95% CI 0.91-1.20, p=0.561). There was no difference in the occurrence of false-positives by race for film mammography. Conclusion Black women had higher frequency of false-positive digital mammograms explained by lack of prior films and study site.The variation in the disparity between the established technique (film) and the new technology (digital) raises the possibility that racial differences in screening quality may be greatest for new technologies. PMID:26125419

  6. Women with abnormal screening mammography lost to follow-up

    PubMed Central

    Kuo, Chia-Sheng; Chen, Guan-Ru; Hung, Shou-Hung; Liu, Yi-Lien; Huang, Kuo-Chin; Cheng, Shao-Yi

    2016-01-01

    Abstract Breast cancer has the highest incidence among all cancers for women in Taiwan. The current screening policy in Taiwan suggested a biennial mammography for all women 40 to 69 years of age. A recommendation for additional testing is recommended for women with a BI-RADS result of 0 or 4; a request made via postal mail. Approximately 20% of high-risk patients do not receive additional follow-up. Therefore, we aimed to explore the causes of these patients being lost to follow-up, despite an abnormal mammogram. Two questionnaires were designed separately according to the conceptual framework of the Health Belief Model. Study participants, women who received a screening mammography at the National Taiwan University Hospital in 2011 with a BI-RAD of 0 or 4, were interviewed via telephone. The dependent variable was receipt of follow-up or not. The analyses were performed by using χ2 tests and logistic regression models. In total, 528 women were enrolled in the study: 51.2% in BI-RADS 0 group and 56.6% in BI-RADS 4, respectively. In the BI-RADS 0 group, those patients who received a follow-up examination cited the most likely causes to be physician suggestion, health implications, and concerns regarding breast cancer. Patients who did not receive a follow-up examination cited a lack of time and a perception of good personal health as primary reasons. In the BI-RADS 4 group, those patients who received a follow-up examination cited the physician's recommendation and a recognition of the importance of follow-up examinations. Patients who did not receive a follow-up examination cited having received follow-up at another hospital and a desire for a second opinion. In the BI-RADS 0 group, multivariate analysis showed that patients with higher scores in the “perceived benefits” domain were statistically more likely to receive a follow-up examination. There was no significant difference in perceived threats, perceived barriers, action cues, or self-efficacy between

  7. Improving screening recall services for women with false-positive mammograms: a comparison of qualitative evidence with UK guidelines

    PubMed Central

    Bond, Mary; Garside, Ruth; Hyde, Christopher

    2015-01-01

    Objectives To gain an understanding of the views of women with false-positive screening mammograms of screening recall services, their ideas for service improvements and how these compare with current UK guidelines. Methods Inductive qualitative content analysis of semistructured interviews of 21 women who had false-positive screening mammograms. These were then compared with UK National Health Service (NHS) guidelines. Results Participants’ concerns about mammography screening recall services focused on issues of communication and choice. Many of the issues raised indicated that the 1998 NHS Breast Screening Programme guidelines on improving the quality of written information sent to women who are recalled, had not been fully implemented. This included being told a clear reason for recall, who may attend with them, the length of appointment, who they will see and what tests will be carried out. Additionally women voiced a need for: reassurance that a swift appointment did not imply they had cancer; choice about invasive assessment or watchful waiting; the offer of a follow-up mammogram for those uncertain about the validity of their all-clear and an extension of the role of the clinical nurse specialist, outlined in the 2012 NHS Breast Screening Programme (NHSBSP) guidelines, to include availability at the clinic after the all-clear for women with false-positive mammograms. Conclusions It is time the NHSBSP 1998 recall information guidelines were fully implemented. Additionally, the further suggestions from this research, including extending the role of the clinical nurses from the 2012 NHSBSP guidelines, should be considered. These actions have the potential to reduce the anxiety of being recalled. PMID:25618139

  8. The Effect of Access and Satisfaction on Regular Mammogram and Papanicolaou Test Screening in a Multiethnic Population

    PubMed Central

    Somkin, Carol P.; McPhee, Stephen J.; Nguyen, Tung; Stewart, Susan; Shema, Sarah J.; Nguyen, Bang; Pasick, Rena

    2006-01-01

    Background Access and satisfaction are determinants of preventive service use, but few studies have evaluated their role in breast and cervical cancer screening in multiethnic populations. Objectives We sought to investigate the relationship between race/ethnicity, access, satisfaction, and regular mammogram and Papanicolaou test receipt in 5 racial/ethnic groups. Research Design We conducted a telephone survey in 4 languages. Subjects Our subjects were black, Chinese, Filipino, Latino, or white women aged 40 to 74 residing in Alameda County, California. Measures Outcome: regular mammograms (last test within 15 months and another within 2 years prior) and Papanicolaou tests (36 months and 3 years, respectively). Independent: race/ethnicity, sociodemographic variables, access (health insurance, usual site of care, regular doctor, check-up within 12 months, knowing where to go, copayment for tests), and satisfaction (overall satisfaction scale, waiting times, test-related pain and embarrassment, test satisfaction). Results Among women who had ever had a mammogram or Papanicolaou test, 54% and 77%, respectively, received regular screening. In multivariate analyses, regular mammography was positively associated with increased age (odds ratio [OR] 1.05 per year), private insurance (OR 1.7), check-up in the past year (OR 2.3), knowing where to go for mammography (OR 3.0), and greater satisfaction with processes of care (OR 1.04 per unit), and negatively with not knowing copayment amount (OR 0.4), too many forms to fill out (OR 0.5), embarrassment at the last mammogram (OR 0.6), and Filipino race/ethnicity. Similar results were found for regular Papanicolaou tests. Conclusions Access and satisfaction are important predictors of screening but do little to explain racial/ethnic variation. Tailored interventions to improve regular mammography and Papanicolaou test screening in multiethnic populations are needed. PMID:15319618

  9. Patients’ Willingness to Participate in a Breast Cancer Biobank at Screening Mammogram

    PubMed Central

    Lee, Christoph I.; Bassett, Lawrence W.; Leng, Mei; Maliski, Sally L.; Pezeshki, Bryan B.; Wells, Colin J.; Mangione, Carol M.; Naeim, Arash

    2013-01-01

    Purpose To characterize patients’ willingness to donate a biospecimen for future research as part of a breast cancer-related biobank involving a general screening population. Materials and Methods We performed a prospective cross-sectional study of 4,217 women aged 21 to 89 years presenting to our facilities for screening mammogram between December 2010 and October 2011. This HIPAA-compliant study was approved by our institutional review board. We collected data on patients’ interest in and actual donation of a biospecimen, motivators and barriers to donating, demographic information, and personal breast cancer risk factors. A multivariate logistic regression analysis was performed to identify patient-level characteristics associated with an increased likelihood to donate. Results Mean patient age was 57.8 years (SD 11.1 years). While 66.0% (2785/4217) of patients were willing to donate blood or saliva during their visit, only 56.4% (2378/4217) actually donated. Women with a college education (OR=1.27, p=0.003), older age (OR=1.02, p<0.001), previous breast biopsy (OR=1.23, p=0.012), family history of breast cancer (OR=1.23, p=0.004), or a comorbidity (OR=1.22, p=0.014) were more likely to donate. Asian-American women were significantly less likely to donate (OR=0.74, p=0.005). The major reason for donating was to help all future patients (42.3%) and the major reason for declining donation was privacy concerns (22.3%). Conclusion A large proportion of women participating in a breast cancer screening registry are willing to donate blood or saliva to a biobank. Among minority participants, Asian-American women are less likely to donate and further qualitative research is required to identify novel active recruitment strategies to ensure their involvement. PMID:23129174

  10. Integrating mental health screening and abnormal cancer screening follow-up: an intervention to reach low-income women.

    PubMed

    Ell, Kathleen; Vourlekis, Betsy; Nissly, Jan; Padgett, Deborah; Pineda, Diana; Sarabia, Olga; Walther, Virginia; Blumenfield, Susan; Lee, Pey-jiuan

    2002-08-01

    The results of implementing mental health screening within cancer screening and diagnostic programs serving low-income ethnic minority women are reported. Multi-phased screening for anxiety and depression was provided as part of structured health education and intensive case management services to improve abnormal mammogram or Pap test follow-up. Seven hundred fifty-three women were enrolled in the Screening Adherence Follow-up Program. Ten percent (n = 74) met criteria for depressive or anxiety disorder. Women with depressive or anxiety disorders were more likely to have cancer, significant psychosocial stress, fair or poor health status, a comorbid medical problem, and limitation in functional status. Forty-seven women with disorders were receiving no depression care.

  11. Integrating mental health screening and abnormal cancer screening follow-up: an intervention to reach low-income women.

    PubMed

    Ell, Kathleen; Vourlekis, Betsy; Nissly, Jan; Padgett, Deborah; Pineda, Diana; Sarabia, Olga; Walther, Virginia; Blumenfield, Susan; Lee, Pey-jiuan

    2002-08-01

    The results of implementing mental health screening within cancer screening and diagnostic programs serving low-income ethnic minority women are reported. Multi-phased screening for anxiety and depression was provided as part of structured health education and intensive case management services to improve abnormal mammogram or Pap test follow-up. Seven hundred fifty-three women were enrolled in the Screening Adherence Follow-up Program. Ten percent (n = 74) met criteria for depressive or anxiety disorder. Women with depressive or anxiety disorders were more likely to have cancer, significant psychosocial stress, fair or poor health status, a comorbid medical problem, and limitation in functional status. Forty-seven women with disorders were receiving no depression care. PMID:12166918

  12. Occult Primary Neuroendocrine Tumor Metastasis to the Breast Detected on Screening Mammogram

    PubMed Central

    Policeni, Fabiana; Pakalniskis, Brittany; Yang, Limin

    2016-01-01

    Metastatic tumors are rare in the breast. Well-differentiated neuroendocrine tumors (WDNETs) are slow-growing neoplasms that arise from neuroendocrine cells, particularly in the gastrointestinal tract and bronchial tree. Metastatic WDNET to the breast is a rare entity. We present a case report of ileal WDNET metastatic to the breast which was initially identified as a small mass in the patient's left breast on screening mammography. Targeted ultrasound identified a suspicious mass, and ultrasound-guided percutaneous core biopsy was performed. Pathology revealed metastatic WDNET. Breast magnetic resonance imaging (MRI) was then performed and demonstrated left axillary Level 2 lymphadenopathy, and liver lesions were suspicious for metastasis. The patient underwent abdominal computed tomography (CT) to evaluate for distant metastatic disease. A spiculated mass was found near the ileocecal valve, suggestive of primary ileal WDNET. In addition, CT identified multiple liver lesions, most compatible with metastasis. Indium 111 OctreoScan confirmed radiotracer uptake in the ileum consistent with primary neuroendocrine tumor. In this report, we review the imaging characteristics of metastatic WDNET to the breast by different imaging modalities including mammogram, ultrasound, and breast MRI. PMID:27761301

  13. Breast Density and Your Breast Mammogram Report

    MedlinePlus

    Breast Density and Your Mammogram Report Regular mammograms are the best way to find breast cancer early. But if ... But in some women, there’s little change. Breast density is very common, and is not abnormal. How ...

  14. Cost-Effectiveness of Double Reading versus Single Reading of Mammograms in a Breast Cancer Screening Programme

    PubMed Central

    Posso, Margarita; Carles, Misericòrdia; Rué, Montserrat; Puig, Teresa; Bonfill, Xavier

    2016-01-01

    Objectives The usual practice in breast cancer screening programmes for mammogram interpretation is to perform double reading. However, little is known about its cost-effectiveness in the context of digital mammography. Our purpose was to evaluate the cost-effectiveness of double reading versus single reading of digital mammograms in a population-based breast cancer screening programme. Methods Data from 28,636 screened women was used to establish a decision-tree model and to compare three strategies: 1) double reading; 2) double reading for women in their first participation and single reading for women in their subsequent participations; and 3) single reading. We calculated the incremental cost-effectiveness ratio (ICER), which was defined as the expected cost per one additionally detected cancer. We performed a deterministic sensitivity analysis to test the robustness of the ICER. Results The detection rate of double reading (5.17‰) was similar to that of single reading (4.78‰; P = .768). The mean cost of each detected cancer was €8,912 for double reading and €8,287 for single reading. The ICER of double reading versus single reading was €16,684. The sensitivity analysis showed variations in the ICER according to the sensitivity of reading strategies. The strategy that combines double reading in first participation with single reading in subsequent participations was ruled out due to extended dominance. Conclusions From our results, double reading appears not to be a cost-effective strategy in the context of digital mammography. Double reading would eventually be challenged in screening programmes, as single reading might entail important net savings without significantly changing the cancer detection rate. These results are not conclusive and should be confirmed in prospective studies that investigate long-term outcomes like quality adjusted life years (QALYs). PMID:27459663

  15. Inter- and intraradiologist variability in the BI-RADS assessment and breast density categories for screening mammograms

    PubMed Central

    Redondo, A; Comas, M; Macià, F; Ferrer, F; Murta-Nascimento, C; Maristany, M T; Molins, E; Sala, M; Castells, X

    2012-01-01

    Objective The aim of this study was to evaluate reader variability in screening mammograms according to the American College of Radiology Breast Imaging Reporting and Data System (BI-RADS) assessment and breast density categories. Methods A stratified random sample of 100 mammograms was selected from a population-based breast cancer screening programme in Barcelona, Spain: 13 histopathologically confirmed breast cancers and 51 with true-negative and 36 with false-positive results. 21 expert radiologists from radiological units of breast cancer screening programmes in Catalonia, Spain, reviewed the mammography images twice within a 6-month interval. The readers described each mammography using BI-RADS assessment and breast density categories. Inter- and intraradiologist agreement was assessed using percentage of concordance and the kappa (κ) statistic. Results Fair interobserver agreement was observed for the BI-RADS assessment [κ=0.37, 95% confidence interval (CI) 0.36–0.38]. When the categories were collapsed in terms of whether additional evaluation was required (Categories III, 0, IV, V) or not (I and II), moderate agreement was found (κ=0.53, 95% CI 0.52–0.54). Intra-observer agreement for BI-RADS assessment was moderate using all categories (κ=0.53, 95% CI 0.50–0.55) and substantial on recall (κ=0.66, 95% CI 0.63–0.70). Regarding breast density, inter- and intraradiologist agreement was substantial (κ=0.73, 95% CI 0.72–0.74 and κ=0.69, 95% CI 0.68–0.70, respectively). Conclusion We observed a substantial intra-observer agreement in the BI-RADS assessment but only moderate interobserver agreement. Both inter- and intra-observer agreement in mammographic interpretation of breast density was substantial. Advances in knowledge Educational efforts should be made to decrease radiologists' variability in BI-RADS assessment interpretation in population-based breast screening programmes. PMID:22993385

  16. Trends in breast biopsies for abnormalities detected at screening mammography: a population-based study in the Netherlands

    PubMed Central

    van Breest Smallenburg, V; Nederend, J; Voogd, A C; Coebergh, J W W; van Beek, M; Jansen, F H; Louwman, W J; Duijm, L E M

    2013-01-01

    Background: Diagnostic surgical breast biopsies have several disadvantages, therefore, they should be used with hesitation. We determined time trends in types of breast biopsies for the workup of abnormalities detected at screening mammography. We also examined diagnostic delays. Methods: In a Dutch breast cancer screening region 6230 women were referred for an abnormal screening mammogram between 1 January 1997 and 1 January 2011. During two year follow-up clinical data, breast imaging-, biopsy-, surgery- and pathology-reports were collected of these women. Furthermore, breast cancers diagnosed >3 months after referral (delays) were examined, this included review of mammograms and pathology specimens to determine the cause of the delays. Results: In 41.1% (1997–1998) and in 44.8% (2009–2010) of referred women imaging was sufficient for making the diagnosis (P<0.0001). Fine-needle aspiration cytology decreased from 12.7% (1997–1998) to 4.7% (2009–2010) (P<0.0001), percutaneous core-needle biopsies (CBs) increased from 8.0 to 49.1% (P<0.0001) and surgical biopsies decreased from 37.8 to 1.4% (P<0.0001). Delays in breast cancer diagnosis decreased from 6.7 to 1.8% (P=0.003). Conclusion: The use of diagnostic surgical breast biopsies has decreased substantially. They have mostly been replaced by percutaneous CBs and this replacement did not result in an increase of diagnostic delays. PMID:23695018

  17. Application of support vector machines to breast cancer screening using mammogram and history data

    NASA Astrophysics Data System (ADS)

    Land, Walker H., Jr.; Akanda, Anab; Lo, Joseph Y.; Anderson, Francis; Bryden, Margaret

    2002-05-01

    Support Vector Machines (SVMs) are a new and radically different type of classifiers and learning machines that use a hypothesis space of linear functions in a high dimensional feature space. This relatively new paradigm, based on Statistical Learning Theory (SLT) and Structural Risk Minimization (SRM), has many advantages when compared to traditional neural networks, which are based on Empirical Risk Minimization (ERM). Unlike neural networks, SVM training always finds a global minimum. Furthermore, SVMs have inherent ability to solve pattern classification without incorporating any problem-domain knowledge. In this study, the SVM was employed as a pattern classifier, operating on mammography data used for breast cancer detection. The main focus was to formulate the best learning machine configurations for optimum specificity and positive predictive value at very high sensitivities. Using a mammogram database of 500 biopsy-proven samples, the best performing SVM, on average, was able to achieve (under statistical 5-fold cross-validation) a specificity of 45.0% and a positive predictive value (PPV) of 50.1% at 100% sensitivity. At 97% sensitivity, a specificity of 55.8% and a PPV of 55.2% were obtained.

  18. Automatic detection of the nipple in screen-film and full-field digital mammograms using a novel Hessian-based method.

    PubMed

    Casti, Paola; Mencattini, Arianna; Salmeri, Marcello; Ancona, Antonietta; Mangieri, Fabio Felice; Pepe, Maria Luisa; Rangayyan, Rangaraj Mandayam

    2013-10-01

    Automatic detection of the nipple in mammograms is an important step in computerized systems that combine multiview information for accurate detection and diagnosis of breast cancer. Locating the nipple is a difficult task owing to variations in image quality, presence of noise, and distortion and displacement of the breast tissue due to compression. In this work, we propose a novel Hessian-based method to locate automatically the nipple in screen-film and full-field digital mammograms (FFDMs). The method includes detection of a plausible nipple/retroareolar area in a mammogram using geometrical constraints, analysis of the gradient vector field by mean and Gaussian curvature measurements, and local shape-based conditions. The proposed procedure was tested on 566 mammographic images consisting of 372 randomly selected scanned films from two public databases (mini-MIAS and DDSM), and 194 digital mammograms acquired with a GE Senographe 2000D FFDM system. A radiologist independently marked the centers of the nipples for evaluation of the results. The average error obtained was 6.7 mm (22 pixels) with reference to the center of the nipple as identified by the radiologist. Only two out of the 566 detected nipples (0.35 %) had an error larger than 50 mm. The method was also directly compared with two other techniques for the detection of the nipple. The results indicate that the proposed method outperforms other algorithms presented in the literature and can be used to identify accurately the nipple on various types of mammographic images.

  19. Abnormal Cervical Cancer Screening Test Results

    MedlinePlus

    ... LEEP) —A thin wire loop that carries an electric current is used to remove abnormal areas of the ... the cervix using a thin wire loop and electric energy. Pap ... this document sets forth current information and opinions related to women’s health. The ...

  20. Women with abnormal screening mammography lost to follow-up: An experience from Taiwan.

    PubMed

    Kuo, Chia-Sheng; Chen, Guan-Ru; Hung, Shou-Hung; Liu, Yi-Lien; Huang, Kuo-Chin; Cheng, Shao-Yi

    2016-06-01

    Breast cancer has the highest incidence among all cancers for women in Taiwan. The current screening policy in Taiwan suggested a biennial mammography for all women 40 to 69 years of age. A recommendation for additional testing is recommended for women with a BI-RADS result of 0 or 4; a request made via postal mail. Approximately 20% of high-risk patients do not receive additional follow-up. Therefore, we aimed to explore the causes of these patients being lost to follow-up, despite an abnormal mammogram. Two questionnaires were designed separately according to the conceptual framework of the Health Belief Model. Study participants, women who received a screening mammography at the National Taiwan University Hospital in 2011 with a BI-RAD of 0 or 4, were interviewed via telephone. The dependent variable was receipt of follow-up or not. The analyses were performed by using χ tests and logistic regression models. In total, 528 women were enrolled in the study: 51.2% in BI-RADS 0 group and 56.6% in BI-RADS 4, respectively. In the BI-RADS 0 group, those patients who received a follow-up examination cited the most likely causes to be physician suggestion, health implications, and concerns regarding breast cancer. Patients who did not receive a follow-up examination cited a lack of time and a perception of good personal health as primary reasons. In the BI-RADS 4 group, those patients who received a follow-up examination cited the physician's recommendation and a recognition of the importance of follow-up examinations. Patients who did not receive a follow-up examination cited having received follow-up at another hospital and a desire for a second opinion. In the BI-RADS 0 group, multivariate analysis showed that patients with higher scores in the "perceived benefits" domain were statistically more likely to receive a follow-up examination. There was no significant difference in perceived threats, perceived barriers, action cues, or self-efficacy between groups. We

  1. Computer detection of stellate lesions in mammograms

    NASA Astrophysics Data System (ADS)

    Kegelmeyer, W. Philip, Jr.

    1992-06-01

    The three primary signs for which radiologists search when screening mammograms for breast cancer are stellate lesions, microcalcifications, and circumscribed lesions. Stellate lesions are of particular importance, as they are almost always associated with a malignancy. Further, they are often indicated only by subtle architectural distortions and so are in general easier to miss than the other signs. We have developed a method for the automatic detection of stellate lesions in digitized mammograms, and have tested them on image data where the presence or absence of malignancies is known. We extract image features from the known images, use them to grow binary decision trees, and use those trees to label each pixel of new mammograms with its probability of being located on an abnormality. The primary feature for the detection of stellate lesions is ALOE, analysis of local oriented edges, which is derived from an analysis of the histogram of edge orientations in local windows. Other features, based on the Laws texture energy measures, have been developed to respond to normal tissue, and so improve the false alarm performance of the entire system.

  2. Breast Cancers Between Mammograms Have Aggressive Features

    Cancer.gov

    Breast cancers that are discovered in the period between regular screening mammograms—known as interval cancers—are more likely to have features associated with aggressive behavior and a poor prognosis than cancers found via screening mammograms.

  3. Application of support vector machines to breast cancer screening using mammogram and clinical history data

    NASA Astrophysics Data System (ADS)

    Land, Walker H., Jr.; McKee, Dan; Velazquez, Roberto; Wong, Lut; Lo, Joseph Y.; Anderson, Francis R.

    2003-05-01

    The objectives of this paper are to discuss: (1) the development and testing of a new Evolutionary Programming (EP) method to optimally configure Support Vector Machine (SVM) parameters for facilitating the diagnosis of breast cancer; (2) evaluation of EP derived learning machines when the number of BI-RADS and clinical history discriminators are reduced from 16 to 7; (3) establishing system performance for several SVM kernels in addition to the EP/Adaptive Boosting (EP/AB) hybrid using the Digital Database for Screening Mammography, University of South Florida (DDSM USF) and Duke data sets; and (4) obtaining a preliminary evaluation of the measurement of SVM learning machine inter-institutional generalization capability using BI-RADS data. Measuring performance of the SVM designs and EP/AB hybrid against these objectives will provide quantative evidence that the software packages described can generalize to larger patient data sets from different institutions. Most iterative methods currently in use to optimize learning machine parameters are time consuming processes, which sometimes yield sub-optimal values resulting in performance degradation. SVMs are new machine intelligence paradigms, which use the Structural Risk Minimization (SRM) concept to develop learning machines. These learning machines can always be trained to provide global minima, given that the machine parameters are optimally computed. In addition, several system performance studies are described which include EP derived SVM performance as a function of: (a) population and generation size as well as a method for generating initial populations and (b) iteratively derived versus EP derived learning machine parameters. Finally, the authors describe a set of experiments providing preliminary evidence that both the EP/AB hybrid and SVM Computer Aided Diagnostic C++ software packages will work across a large population of patients, based on a data set of approximately 2,500 samples from five different

  4. Ant-cuckoo colony optimization for feature selection in digital mammogram.

    PubMed

    Jona, J B; Nagaveni, N

    2014-01-15

    Digital mammogram is the only effective screening method to detect the breast cancer. Gray Level Co-occurrence Matrix (GLCM) textural features are extracted from the mammogram. All the features are not essential to detect the mammogram. Therefore identifying the relevant feature is the aim of this work. Feature selection improves the classification rate and accuracy of any classifier. In this study, a new hybrid metaheuristic named Ant-Cuckoo Colony Optimization a hybrid of Ant Colony Optimization (ACO) and Cuckoo Search (CS) is proposed for feature selection in Digital Mammogram. ACO is a good metaheuristic optimization technique but the drawback of this algorithm is that the ant will walk through the path where the pheromone density is high which makes the whole process slow hence CS is employed to carry out the local search of ACO. Support Vector Machine (SVM) classifier with Radial Basis Kernal Function (RBF) is done along with the ACO to classify the normal mammogram from the abnormal mammogram. Experiments are conducted in miniMIAS database. The performance of the new hybrid algorithm is compared with the ACO and PSO algorithm. The results show that the hybrid Ant-Cuckoo Colony Optimization algorithm is more accurate than the other techniques. PMID:24783812

  5. Ant-cuckoo colony optimization for feature selection in digital mammogram.

    PubMed

    Jona, J B; Nagaveni, N

    2014-01-15

    Digital mammogram is the only effective screening method to detect the breast cancer. Gray Level Co-occurrence Matrix (GLCM) textural features are extracted from the mammogram. All the features are not essential to detect the mammogram. Therefore identifying the relevant feature is the aim of this work. Feature selection improves the classification rate and accuracy of any classifier. In this study, a new hybrid metaheuristic named Ant-Cuckoo Colony Optimization a hybrid of Ant Colony Optimization (ACO) and Cuckoo Search (CS) is proposed for feature selection in Digital Mammogram. ACO is a good metaheuristic optimization technique but the drawback of this algorithm is that the ant will walk through the path where the pheromone density is high which makes the whole process slow hence CS is employed to carry out the local search of ACO. Support Vector Machine (SVM) classifier with Radial Basis Kernal Function (RBF) is done along with the ACO to classify the normal mammogram from the abnormal mammogram. Experiments are conducted in miniMIAS database. The performance of the new hybrid algorithm is compared with the ACO and PSO algorithm. The results show that the hybrid Ant-Cuckoo Colony Optimization algorithm is more accurate than the other techniques.

  6. Prenatal Ultrasound Screening for External Ear Abnormality in the Fetuses

    PubMed Central

    Wei, Jun; Ran, Suzhen; Yang, Zhengchun; Lin, Yun; Tang, Jing

    2014-01-01

    Objectives. To investigate the best time of examination and section chosen of routine prenatal ultrasound screening for external ear abnormalities and evaluate the feasibility of examining the fetal external ear with ultrasonography. Methods. From July 2010 until August 2011, 42118 pregnant women with single fetus during 16–40 weeks of pregnancy were enrolled in the study. Fetal auricles and external auditory canal in the second trimester of pregnancy were evaluated by routine color Doppler ultrasound screening and systematic screening. Ultrasound images of fetal external ears were obtained on transverse-incline view at cervical vertebra level and mandible level and on parasagittal view and coronal view at external ear level. Results. Five fetuses had anomalous ears including bilateral malformed auricles with malformed external auditory canal, unilateral deformed external ear, and unilateral microtia. The detection rate of both auricles was negatively correlated with gestational age. Of the 5843 fetuses undergoing a routine ultrasound screening, 5797 (99.21%) had bilateral auricles. Of the 4955 fetuses following systematic screening, all fetuses (100%) had bilateral auricles. The best time for fetal auricles observation with ultrasonography is 20–24 weeks of pregnancy. Conclusions. Detection of external ear abnormalities may assist in the diagnosis of chromosomal abnormalities. PMID:25050343

  7. Temporal mammogram image registration using optimized curvilinear coordinates.

    PubMed

    Abdel-Nasser, Mohamed; Moreno, Antonio; Puig, Domenec

    2016-04-01

    Registration of mammograms plays an important role in breast cancer computer-aided diagnosis systems. Radiologists usually compare mammogram images in order to detect abnormalities. The comparison of mammograms requires a registration between them. A temporal mammogram registration method is proposed in this paper. It is based on the curvilinear coordinates, which are utilized to cope both with global and local deformations in the breast area. Temporal mammogram pairs are used to validate the proposed method. After registration, the similarity between the mammograms is maximized, and the distance between manually defined landmarks is decreased. In addition, a thorough comparison with the state-of-the-art mammogram registration methods is performed to show its effectiveness.

  8. Patient and Radiologist Characteristics Associated With Accuracy of Two Types of Diagnostic Mammograms

    PubMed Central

    Jackson, Sara L.; Abraham, Linn; Miglioretti, Diana L.; Buist, Diana S. M.; Kerlikowske, Karla; Onega, Tracy; Carney, Patricia A.; Sickles, Edward A.; Elmore, Joann G.

    2015-01-01

    Objective Earlier studies of diagnostic mammography found wide unexplained variability in accuracy among radiologists. We assessed patient and radiologist characteristics associated with the interpretive performance of two types of diagnostic mammography. Materials and Methods Radiologists interpreting mammograms in seven regions of the United States were invited to participate in a survey that collected information on their demographics, practice setting, breast imaging experience, and self-reported interpretive volume. Survey data from 244 radiologists were linked to data on 274,401 diagnostic mammograms performed for additional evaluation of a recent abnormal screening mammogram or to evaluate a breast problem, between 1998 and 2008. These data were also linked to patients' risk factors and follow-up data on breast cancer. We measured interpretive performance by false-positive rate, sensitivity, and AUC. Using logistic regression, we evaluated patient and radiologist characteristics associated with false-positive rate and sensitivity for each diagnostic mammogram type. Results Mammograms performed for additional evaluation of a recent mammogram had an overall false-positive rate of 11.9%, sensitivity of 90.2%, and AUC of 0.894; examinations done to evaluate a breast problem had an overall false-positive rate of 7.6%, sensitivity of 83.9%, and AUC of 0.871. Multiple patient characteristics were associated with measures of interpretive performance, and radiologist academic affiliation was associated with higher sensitivity for both indications for diagnostic mammograms. Conclusion These results indicate the potential for improved radiologist training, using evaluation of their own performance relative to best practices, and for improved clinical outcomes with health care system changes to maximize access to diagnostic mammography interpretation in academic settings. PMID:26204300

  9. Abnormal ovarian cancer screening test result: women's informational, psychological and practical needs.

    PubMed

    Ryan, Patricia Y; Graves, Kristi D; Pavlik, Edward J; Andrykowski, Michael A

    2007-01-01

    Considerable effort has been devoted to the identification of cost-effective approaches to screening for ovarian cancer (OC). Transvaginal ultrasound (TVS) is one such screening approach. Approximately 5-7% of routine TVS screening tests yield abnormal results. Some women experience significant distress after receipt of an abnormal TVS screening test. Four focus groups provided in-depth, qualitative data regarding the informational, psychological, and practical needs of women after the receipt of an abnormal TVS result. Through question and content analytic procedures, we identified four themes: anticipation, emotional response, role of the screening technician, and impact of prior cancer experiences. Results provide initial guidance toward development of interventions to promote adaptive responses after receipt of an abnormal cancer screening test result.

  10. Reporting a health quality improvement project for reducing the disparity in screening mammograms among senior African-American women.

    PubMed

    Sobel, Edward R; Mannis, Cindy

    2003-01-01

    Despite intensive efforts by the established medical community to offer preventive health practices to minority populations, there remains a significant disparity in utilization of many of these services. Between African-American and Caucasian women there exists a significant disparity in the use of screening mammography. Under contract by the Centers for Medicare & Medicaid Services, Quality Improvement Organizations (QIOs) have been charged with reducing disparities in health care among identified minority populations within each state. Quality Insights of Delaware, the QIO for the state, has developed a project that utilizes a collaboration with African-American women and community resources in an effective outreach program to the targeted population. PMID:15704638

  11. Nipple Aspirate Test Is No Substitute for Mammogram

    MedlinePlus

    ... dangerous false assurance," Lerner says. back to top Mammography Still the Best The mammogram can be uncomfortable ... Still, FDA is not alone in believing that mammography is the most effective method for screening for ...

  12. The impact of insurance coverage during insurance reform on diagnostic resolution of cancer screening abnormalities.

    PubMed

    Kapoor, Alok; Battaglia, Tracy A; Isabelle, Alexis P; Hanchate, Amresh D; Kalish, Richard L; Bak, Sharon; Mishuris, Rebecca G; Shroff, Swati M; Freund, Karen M

    2014-02-01

    We examined the impact of Massachusetts insurance reform on the care of women at six community health centers with abnormal breast and cervical cancer screening to investigate whether stability of insurance coverage was associated with more timely diagnostic resolution. We conducted Cox proportional hazards models to predict time from cancer screening to diagnostic resolution, examining the impact of 1) insurance status at time of screening abnormality, 2) number of insurance switches over a three-year period, and 3) insurance history over a three-year period. We identified 1,165 women with breast and 781 with cervical cancer screening abnormalities. In the breast cohort, Medicaid insurance at baseline, continuous public insurance, and losing insurance predicted delayed resolution. We did not find these effects in the cervical cohort. These data provide evidence that stability of health insurance coverage with insurance reform nationally may improve timely care after abnormal cancer screening in historically underserved women.

  13. Wavelet Compression of Satellite-Transmitted Digital Mammograms

    NASA Technical Reports Server (NTRS)

    Zheng, Yuan F.

    2001-01-01

    Breast cancer is one of the major causes of cancer death in women in the United States. The most effective way to treat breast cancer is to detect it at an early stage by screening patients periodically. Conventional film-screening mammography uses X-ray films which are effective in detecting early abnormalities of the breast. Direct digital mammography has the potential to improve the image quality and to take advantages of convenient storage, efficient transmission, and powerful computer-aided diagnosis, etc. One effective alternative to direct digital imaging is secondary digitization of X-ray films. This technique may not provide as high an image quality as the direct digital approach, but definitely have other advantages inherent to digital images. One of them is the usage of satellite-transmission technique for transferring digital mammograms between a remote image-acquisition site and a central image-reading site. This technique can benefit a large population of women who reside in remote areas where major screening and diagnosing facilities are not available. The NASA-Lewis Research Center (LeRC), in collaboration with the Cleveland Clinic Foundation (CCF), has begun a pilot study to investigate the application of the Advanced Communications Technology Satellite (ACTS) network to telemammography. The bandwidth of the T1 transmission is limited (1.544 Mbps) while the size of a mammographic image is huge. It takes a long time to transmit a single mammogram. For example, a mammogram of 4k by 4k pixels with 16 bits per pixel needs more than 4 minutes to transmit. Four images for a typical screening exam would take more than 16 minutes. This is too long a time period for a convenient screening. Consequently, compression is necessary for making satellite-transmission of mammographic images practically possible. The Wavelet Research Group of the Department of Electrical Engineering at The Ohio State University (OSU) participated in the LeRC-CCF collaboration by

  14. Time to follow up after an abnormal finding in organized gastric cancer screening in Korea

    PubMed Central

    2012-01-01

    Background The prognosis for an abnormal medical finding is affected by both early detection and adherence to the presecribed schedule for follow-up examinations. In this study, we examined the time to follow up after an abnormal finding and determined the risk factors related to delays in follow up in a population-based screening program. Methods The study population consisted of patients who were newly diagnosed with gastric cancer through a gastric cancer screening program sponsored by the National Cancer Screening Program (NCSP) in 2005. Due to the skewed nature of the distribution of time to follow up, medians and interquartile ranges (IQR) are presented, and we analyzed the number of days preceding the follow-up time as a binary variable (≤90 days or >90 days). We used logistic regression analyses to evaluate the risk factors for a long delay. Results The median number of days to follow-up initiation after an abnormal finding was 11 (IQR 7–27); 13.9% of the patients with gastric cancer obtained their follow-up evaluation more than 90 days. Age, type of health insurance, screening method, and screening results were risk factors for delays in follow up. Conclusions This study examined delays from the time of the discovery of an abnormal finding to time of the follow-up evaluation. Because inadequate follow up of abnormal exam results undermines the potential benefits of cancer screening, it is important to organize services that minimize delays between cancer screening and treatment. PMID:22963347

  15. Use of prior mammograms in the transition to digital mammography: a performance and cost analysis.

    PubMed

    Taylor-Phillips, S; Wallis, M G; Duncan, A; Gale, A G

    2012-01-01

    Breast screening in Europe is gradually changing from film to digital imaging and reporting of cases. In the transition period prior mammograms (from the preceding screening round) are films thereby potentially causing difficulties in comparison to current digital mammograms. To examine this breast screening performance was measured at a digital mammography workstation with prior mammograms displayed in different formats, and the associated costs calculated. 160 selected difficult cases (41% malignant) were read by eight UK qualified mammography readers in three conditions: with film prior mammograms; with digitised prior mammograms; or without prior mammograms. Lesion location and probability of malignancy were recorded, alongside a decision of whether to recall each case for further tests. JAFROC analysis showed a difference between conditions (p=.006); performance with prior mammograms in either film or digitised formats was superior to that without prior mammograms (p<.05). There was no difference in the performance when the prior mammograms were presented in film or digitised form. The number of benign or normal cases recalled was 26% higher without prior mammograms than with digitised or film prior mammograms (p<.05). This would correspond to an increase in recall rate at the study hospital from 4.3% to 5.5% with no associated increase in cancer detection rate. The cost of this increase was estimated to be £11,581 (€13,666) per 10,000 women screened, which is higher than the cost of digitised (£11,114/€13,115), or film display (£6451/€7612) of the prior mammograms. It is recommended that, where available, prior mammograms are used in the transition to digital breast screening.

  16. Comparison of standard and double reading and computer-aided detection (CAD) of interval cancers at prior negative screening mammograms: blind review.

    PubMed

    Ciatto, S; Rosselli Del Turco, M; Burke, P; Visioli, C; Paci, E; Zappa, M

    2003-11-01

    The study evaluates the role of computer-aided detection (CAD) in improving the detection of interval cancers as compared to conventional single (CONV) or double reading (DOUBLE). With this purpose, a set of 89 negative cases was seeded with 31 mammograms reported as negative and developing interval cancer in the following 2-year interval (false negative (FN)=11, minimal signs (MS)=20). A total of radiologists read the set with CONV and then with CAD. Overall, there were 589 cancer and 1691 noncancer readings with both CONV and CAD. Double reading was simulated by combining conventional readings in all 171 possible combinations of 19 radiologists, resulting in a total of 5301 cancer and 15 219 noncancer readings. Conventional single, DOUBLE and CAD readings were compared in terms of sensitivity and recall rate. Considering all 19 readings, cancer was identified in 190 or 248 of 589 readings (32.2 vs 42.1%, chi(2)=11.80, df=1, P<0.01) and recalls were 287 or 405 of 1691 readings (16.9 vs 23.9%, chi(2)=24.87, df=1, P<0.01) at CONV or CAD, respectively. When considering FN and MS cases separately, sensitivity at CONV or CAD was 50.2 or 62.6% (chi(2)=6.98, df=1, P=0.01) for FN and 22.3 or 30.7% (chi(2)=6.47, df=1, P=0.01) for MS cases, respectively. Computer-aided detection (average of 19 readings) was slightly and not significantly less sensitive (sensitivity: 42.1 vs 46.1%, chi(2)=3.24, df=1, P=0.07) but more specific (recall rate 23.9 vs 26.1%, chi(2)=3.8, df=1, P=0.04) as compared to DOUBLE (average of 171 readings). Average sensitivity for FN cases only was 62.6% for CAD and 64.8% for DOUBLE (chi(2)=0.32, df=1, P=0.58). Corresponding values for MS cases were 30.7% for CAD and 35.7% for DOUBLE (chi(2)=3.53, df=1, P=0.06). Compared to CONV, CAD allowed for improved sensitivity, though with reduced specificity, both effects being statistically significant. Computer-aided detection was almost as sensitive as DOUBLE but significantly more specific. Computer

  17. Clustering microcalcifications techniques in digital mammograms

    NASA Astrophysics Data System (ADS)

    Díaz, Claudia. C.; Bosco, Paolo; Cerello, Piergiorgio

    2008-11-01

    Breast cancer has become a serious public health problem around the world. However, this pathology can be treated if it is detected in early stages. This task is achieved by a radiologist, who should read a large amount of mammograms per day, either for a screening or diagnostic purpose in mammography. However human factors could affect the diagnosis. Computer Aided Detection is an automatic system, which can help to specialists in the detection of possible signs of malignancy in mammograms. Microcalcifications play an important role in early detection, so we focused on their study. The two mammographic features that indicate the microcalcifications could be probably malignant are small size and clustered distribution. We worked with density techniques for automatic clustering, and we applied them on a mammography CAD prototype developed at INFN-Turin, Italy. An improvement of performance is achieved analyzing images from a Perugia-Assisi Hospital, in Italy.

  18. Impact of Patient and Navigator Race and Language Concordance on Care after Cancer Screening Abnormalities

    PubMed Central

    Charlot, Marjory; Santana, M. Christina; Chen, Clara A.; Bak, Sharon; Heeren, Timothy C.; Battaglia, Tracy A; Egan, A. Patrick; Kalish, Richard; Freund, Karen M.

    2015-01-01

    Background Patient navigation improves timely diagnosis of cancer among minorities but little is known about the effect of patient and navigator race and language concordance on health outcomes. Methods We conducted an investigation of patient and navigator race and language concordance on time to diagnosis of cancer screening abnormalities among participants of the Boston Patient Navigation Research Program, a clinical effectiveness trial for women with breast or cervical cancer screening abnormalities identified January 1, 2007 to December 31, 2008. Hazard ratio and 95% confidence intervals were estimated using proportional hazards regression adjusting for clinical and demographic factors. Results There were a total of 1257 women with either breast (n= 655) or cervical (n=602) cancer screening abnormalities and 56% were non-White. Language concordance was associated with timelier resolution in all patients in the cervical group in the first 90 days, aHR of 1.46 (95% CI: 1.18, 1.80), and specifically for Spanish speakers in the first 90 days, aHR of 1.43 (95% CI: 1.10, 1.84), with no difference after 90 days or for women with breast cancer screening abnormalities. Race concordance was associated with significant decreases in time to diagnosis for minority women with breast and cervical cancer screening abnormalities in analyses stratified by race with no difference found in analyses including all women. Conclusions Patient-navigator race and language concordance improves timeliness of care in a minority population. Impact Patient navigators that are diverse by race/ethnicity and multilingual may help address barriers to care and improve cancer outcomes for low-income minorities. PMID:25565151

  19. An automated confirmatory system for analysis of mammograms.

    PubMed

    Peng, W; Mayorga, R V; Hussein, E M A

    2016-03-01

    This paper presents an integrated system for the automatic analysis of mammograms to assist radiologists in confirming their diagnosis in mammography screening. The proposed automated confirmatory system (ACS) can process a digitalized mammogram online, and generates a high quality filtered segmentation of an image for biological interpretation and a texture-feature based diagnosis. We use a serial of image pre-processing and segmentation techniques, including 2D median filtering, seeded region growing (SRG) algorithm, image contrast enhancement, to remove noise, delete radiopaque artifacts and eliminate the projection of the pectoral muscle from a digitalized mammogram. We also develop an entire-image texture-feature based classification method, by combining a Rough-set approach to extract five fundamental texture features from images, and then an Artificial Neural Network technique to classify a mammogram as: normal; indicating the presence of a benign lump; or representing a malignant tumor. Here, 222 random images from the Mammographic Image Analysis Society (MIAS) database are used for the offline ACS training. Once the system is tuned and trained, it is ready for the automated use for the analysis and diagnosis of new mammograms. To test the trained system, a separate set of 100 random images from the MIAS and another set of 100 random images from the independent BancoWeb database are selected. The proposed ACS is shown to be successful in confirming diagnosis of mammograms from the two independent databases. PMID:26742491

  20. Genome-wide uniparental disomy screen in human discarded morphologically abnormal embryos.

    PubMed

    Xu, Jiawei; Zhang, Meixiang; Niu, Wenbin; Yao, Guidong; Sun, Bo; Bao, Xiao; Wang, Linlin; Du, Linqing; Sun, Yingpu

    2015-01-01

    Uniparental disomy (UPD) has been shown to be rare in human normal blastocysts, but its frequency in discarded morphologically abnormal embryos and its relevance to embryonic self-correction of aneuploid remains unknown. The aim of this study was to detect UPD in discarded morphologically abnormal embryos. Both discarded morphologically abnormal embryos, including zero-pronuclear zygotes (0PN), one-pronuclear zygotes (1PN), three-pronuclear zygotes (3PN) and 2PN embryos scored as low development potential were cultured into blastocysts then underwent trophectoderm biopsy. Genome-wide UPD screening of the trophectoderm of 241 discarded morphologically abnormal embryo sourced blastocysts showed that UPD occurred in nine embryos. Five embryos exhibited UPDs with euploid chromosomes, and four displayed UPDs with chromosomal aneuploid. The percentage of UPDs among the morphologically abnormal sourced blastocysts was 3.73%, which is significant higher than the percentage observed in normal blastocysts. The frequency of UPD in 3PN-sourced blastocysts was 7.69%, which is significantly higher than that in normal blastocysts. This study provides the first systematic genome-wide profile of UPD in discarded morphologically abnormal embryos. Our results indicated that UPD may be a common phenomenon in discarded morphologically abnormal embryos and may be relevant to human embryonic self-correction. PMID:26194013

  1. Ultrasound screening: Status of markers and efficacy of screening for structural abnormalities.

    PubMed

    Rao, Rashmi; Platt, Lawrence D

    2016-02-01

    Aneuploidy is a major cause of perinatal morbidity and mortality and can have a significant impact on expecting parents and their families. With early screening and diagnosis it is important to be able to educate parents regarding the potential impact of the diagnosis. This knowledge allows parents the opportunity to consider management options early in the pregnancy, permitting more time to mentally and emotionally prepare both for the course of the pregnancy, and after the birth of the child should the pregnancy continue. Prenatal screening provides pregnant women a non-invasive risk assessment for the most common aneuploidies. Those who are considered "high-risk" then have the option for additional diagnostic (invasive) testing. Prior to the 1980s, prenatal screening consisted of risk assessment through maternal age; however, with the advent of maternal serum biochemical analysis and ultrasound, the field of prenatal screening developed significantly. As biochemical and sonographic advances continued into the 1990s, the emphasis shifted to risk assessment in the first trimester, with the combination of maternal serum analytes and sonographic evaluation of the nuchal translucency.(1) Within the last decade, the introduction of non-invasive screening (NIPT/S) has shown great impact on the expansion and evolving practice of prenatal screening. Although in many places the standard for prenatal testing continues to include maternal serum analytes and sonographic evaluation, the role of each marker alone and in combination remains important. In the era of increasingly available screening tests, especially with NIPT/(NIPS), this article attempts to review the current role of ultrasound in prenatal care and elucidate the role of ultrasound markers in prenatal screening. PMID:26777687

  2. Mutational screening of the Wilms's tumour gene, WT1, in males with genital abnormalities.

    PubMed Central

    Clarkson, P A; Davies, H R; Williams, D M; Chaudhary, R; Hughes, I A; Patterson, M N

    1993-01-01

    Several lines of evidence suggest that the Wilms's tumour susceptibility gene, WT1, has an important role in genital as well as kidney development. WT1 is expressed in developing kidney and genital tissues. Furthermore, mutations in WT1 have been detected in patients with the Denys-Drash syndrome (DDS), which is characterised by nephropathy, genital abnormalities, and Wilms's tumour. It is possible that WT1 mutations may cause genital abnormalities in the absence of kidney dysfunction. We tested this hypothesis by screening the WT1 gene for mutation in 12 46,XY patients with various forms of genital abnormality. Using single strand conformation polymorphism (SSCP) we did not detect any WT1 mutations in these patients. However, in addition to the 12 patients, three DDS patients were also analysed using SSCP, and in all three cases heterozygous WT1 mutations were found which would be predicted to disrupt the DNA binding activity of WT1 protein. These results support the notion that DDS results from a dominant WT1 mutation. However, WT1 mutations are unlikely to be a common cause of male genital abnormalities when these are not associated with kidney abnormalities. Images PMID:8411073

  3. Tandem mass spectrometry newborn screening for inborn errors of intermediary metabolism: abnormal profile interpretation.

    PubMed

    Fernández-Lainez, C; Aguilar-Lemus, J J; Vela-Amieva, M; Ibarra-González, I

    2012-01-01

    Expanded newborn screening for inherited metabolic disorders using tandem mass spectrometry was introduced in 1990's and is widely used around the world. In contrast to conventional screening methods, tandem mass spectrometry does not measure single analytes but identifies and quantifies metabolite profiles; one single blood spot analyzed provides information of about 60 metabolites including amino acids, acylcarnitines and related ratios that enable the diagnosis of approximately 50 different diseases. However, the interpretation of these profiles can become quite complex. The aim of this work is to present in an easy and practical manner a comprehensive compilation of information needed for tandem mass neonatal screening profile interpretation, and basic actions for immediate follow up of abnormal results, including the tests that are required for confirmatory purposes. Other conditions not attributable to metabolic disorders which can lead to an abnormal profile of these markers are also described as well as a series of general recommendations which would be useful for health professionals who are beginning newborn screening for inborn errors of intermediary metabolism using tandem mass spectrometry.

  4. Interventions to Improve Follow-Up of Abnormal Findings in Cancer Screening

    PubMed Central

    Bastani, Roshan; Yabroff, K. Robin; Myers, Ronald E.; Glenn, Beth

    2006-01-01

    The potential reduction in morbidity and mortality through cancer screening cannot be realized without receipt of appropriate follow-up care for abnormalities identified via screening. In this paper, the authors critically examine the existing literature on correlates of receipt of appropriate follow-up care for screen-detected abnormalities, as well as the literature on interventions designed to increase rates of receipt of follow-up care. Lessons learned describe what is known and not known about factors that are related to or predict receipt of follow-up care. Similarly, effective interventions to increase follow-up are described and gaps identified. A conceptual model is developed that categorizes the health care system in the United States as comprising four levels: policy, practice, provider, and patient. Some patient-level factors that influence follow-up receipt are identified, but the lack of data severely limit the understanding of provider, practice, and policy-level correlates. The majority of intervention studies to increase follow-up receipt have focused on patient-level factors and have targeted follow-up of abnormal Papanicolaou smears. Insufficient information is available regarding the effectiveness of provider, practice, or policy-level interventions. Standard definitions of what constitutes appropriate follow-up are lacking, which severely limit comparability of findings across studies. The validity of various methods of obtaining outcome data has not been clearly established. More research is needed on interventions targeting provider, system, and policy-level factors, particularly interventions focusing on follow-up of colorectal and breast abnormalities. Standardization of definitions and measures is needed to facilitate comparisons across studies. PMID:15316914

  5. Automated System for Early Breast Cancer Detection in Mammograms

    NASA Technical Reports Server (NTRS)

    Bankman, Isaac N.; Kim, Dong W.; Christens-Barry, William A.; Weinberg, Irving N.; Gatewood, Olga B.; Brody, William R.

    1993-01-01

    The increasing demand on mammographic screening for early breast cancer detection, and the subtlety of early breast cancer signs on mammograms, suggest an automated image processing system that can serve as a diagnostic aid in radiology clinics. We present a fully automated algorithm for detecting clusters of microcalcifications that are the most common signs of early, potentially curable breast cancer. By using the contour map of the mammogram, the algorithm circumvents some of the difficulties encountered with standard image processing methods. The clinical implementation of an automated instrument based on this algorithm is also discussed.

  6. Cellphone based mobile colposcope for the evaluation of women with abnormal cervical cancer screening

    NASA Astrophysics Data System (ADS)

    Kahn, Bruce S.; Kass, Alex J.; Waalen, Jill; Levitz, David

    2015-03-01

    Objective: Compare an inexpensive cell-phone based Mobile Colposcope, with a standard colposcope in the evaluation of women with abnormal Pap smear screening. Methodology: The study was a prospective, parallel noninferiority trial. Thirty women underwent colposcopy for the evaluation of an abnormal Pap smear. After application of acetic acid, images of the cervix were obtained with both a standard colposcope and the Mobile Colposcope. An additional set of images using both devices were obtained using the red-free (green filter) mode. Eight experienced gynecologists then evaluated 100 paired images (plain and green filter) from two different sites in random order using a web based assessment program. After reviewing each set of paired images, the expert would make an assessment of: 1) normal (no biopsy/ random biopsy), or 2) abnormal. For abnormal images, the expert then electronically marked the site(s) on the image where a biopsy was recommended. In image analysis, the cervical image was divided into 12 radial sectors and the marked sites for biopsy on the matched pairs were compared. Matched pairs that were considered normal, or those where biopsy site recommendations were within +/- 30° were considered equivalent; unmatched biopsy sites were considered non-equivalent. Results were compared using Wilcoxon Matched Pairs Signed Ranks Test. Expert assessment of Mobile Colposcope images compared with assessment by standard colposcope is currently onging. Conclusions: if the Mobile Colposcope demonstrates non-inferiority to imaging obtained with a standard colposcope and due to its low cost, it has the potential help improve cervical cancer screening in low resource settings.

  7. Cervical Pap Screening Cytological Abnormalities among HIV-Infected Adolescents in the LEGACY Cohort

    PubMed Central

    Setse, Rosanna W.; Siberry, George K.; Moss, William J.; Gravitt, Patti; Wheeling, Travis; Bohannon, Beverly; Dominguez, Kenneth; Consortium, Legacy

    2014-01-01

    Objectives To determine the prevalence of cervical Pap screening (CPAP-S), identify factors associated with CPAP-S, and explore risk factors for abnormal cervical cytology in female adolescents with perinatally and behaviorally acquired HIV infection. Design Cross-sectional Setting LEGACY is a national observational cohort chart review study of 1478 HIV-infected persons (≤ age 24 years) managed in 22 HIV specialty clinics in the United States. Participants Sexually active females aged ≥13–24 years in the LEGACY cohort Main Outcome measures CPAP-S & abnormal cervical cytology. Results Of 231 sexually active female participants (>= 13 years) in 2006, 49% had CPAP-S documented since 2001. 58% of 113 cervical tests were abnormal (2% high-grade). In multivariable analysis, perinatal HIV infection and black race were associated with decreased likelihood of CPAP-S (adjusted prevalence ratio [APR] 0.66, 95% CI 0.45, 0.96 and APR 0.74, 95% CI 0.56, 0.96, respectively). Presence of any STI was independently associated with increased likelihood of CPAP-S (APR 1.56, 95% CI 1.21, 2.02). CD4+ T-lymphocyte count <200 cells/mL and previous STI were independently associated with increased likelihood of abnormal cervical cytology (APR 2.19, 95% CI 1.26, 3.78 & APR 1.94, 95% CI 1.29, 2.92, respectively). Conclusions Among sexually active HIV-infected adolescent females, prevalence of CPAP-S was low and cytology was abnormal in more than half of Pap smears. Perinatally HIV-infected, sexually active females were less likely to undergo CPAP-S than their behaviorally HIV-infected counterparts. Interventions targeted at HIV-infected adolescents and care providers are needed to improve CPAP-S in HIV-infected young women, especially those with perinatally acquired HIV infection. PMID:22088311

  8. Usefulness of histogram analysis of spatial frequency components for exploring the similarity and bilateral asymmetry in mammograms

    NASA Astrophysics Data System (ADS)

    Shiotsuki, Kenshi; Matsunobu, Yusuke; Yabuuchi, Hidetake; Morishita, Junji

    2015-03-01

    The right and left mammograms of a patient are assumed to be bilaterally symmetric for image readings. The detection of asymmetry in bilateral mammograms is a reliable indicator for detecting possible breast abnormalities. The purpose of this study was to examine the potential usefulness of a new method in terms of spatial frequency components for exploration of similarity and abnormality between the right and left mammograms. A total of 98 normal and 119 abnormal cases with calcifications were used for this study. Each case included two mediolateral oblique views. The spatial frequency components were determined from the symmetric regions in the right and left mammograms by Fourier transform. The degrees of conformity between the two spatial frequency components in the right and left mammograms were calculated for the same and different patients. The degrees of conformity were also examined for cases with and without calcifications for the same patient to show if the proposed method was useful for indicating the existence of calcifications or not. The average degrees of conformity and the standard deviations for the same and different patients were 0.911 +/- 0.0165 and 0.857 +/- 0.0328, respectively. The degrees of conformity calculated from abnormal cases (0.836 +/- 0.0906) showed statistically lower values compared with those measured from normal cases (0.911 +/- 0.0165). Our results indicated that histogram analysis of spatial frequency components could be useful as a similarity measure between bilateral mammograms for the same patient and abnormal signs in a mammogram.

  9. Numerical generation of digital mammograms considering imaging characteristics of an imager

    NASA Astrophysics Data System (ADS)

    Youn, Hanbean; Chul Han, Jong; Kook Cho, Min; Young Jang, Sun; Kim, Ho Kyung; Hyo Kim, Jong; Tanguay, Jesse; Cunningham, Ian A.

    2011-10-01

    Diagnosis and screening of breast cancer using digital mammography, breast tomosynthesis and cone-beam computed tomography are among the most active areas of research in diagnostic radiology. For a better design of imaging systems and the optimization of imaging technologies, numerical phantom studies are essential because of their convenience and the difficulties associated with acquiring clinical data. In this study, we have developed a procedure to numerically generate realistic digital mammograms considering the imaging characteristics of a digital mammography detector, such as resolution and noise. The procedure is composed of the generation of a voxelized breast phantom, projection and image modification. The outer shape of the breast and abnormalities are modeled with geometric functions. Soft tissue is generated by low-pass-filtered white-spectrum noise. Glandular ductal networks are generated by random angles and lengths with some restricted conditions based on anatomical information. A noise-free mammogram with the numerical voxel phantom is achieved by a simple ray-tracing method, and then modified with the known resolution and noise characteristics of an imager. This study will be helpful for the better design of mammography detectors and tomosynthesis algorithms.

  10. Screening outcomes in older US women undergoing multiple mammograms in community practice: does interval, age, or comorbidity score affect tumor characteristics or false positive rates?

    PubMed

    Braithwaite, Dejana; Zhu, Weiwei; Hubbard, Rebecca A; O'Meara, Ellen S; Miglioretti, Diana L; Geller, Berta; Dittus, Kim; Moore, Dan; Wernli, Karen J; Mandelblatt, Jeanne; Kerlikowske, Karla

    2013-03-01

    Background Uncertainty exists about the appropriate use of screening mammography among older women because comorbid illnesses may diminish the benefit of screening. We examined the risk of adverse tumor characteristics and false positive rates according to screening interval, age, and comorbidity. Methods From January 1999 to December 2006, data were collected prospectively on 2993 older women with breast cancer and 137 949 older women without breast cancer who underwent mammography at facilities that participated in a data linkage between the Breast Cancer Surveillance Consortium and Medicare claims. Women were aged 66 to 89 years at study entry to allow for measurement of 1 year of preexisting illnesses. We used logistic regression analyses to calculate the odds of advanced (IIb, III, IV) stage, large (>20 millimeters) tumors, and 10-year cumulative probability of false-positive mammography by screening frequency (1 vs 2 years), age, and comorbidity score. The comorbidity score was derived using the Klabunde approximation of the Charlson score. All statistical tests were two-sided. Results Adverse tumor characteristics did not differ statistically significantly by comorbidity, age, or interval. Cumulative probability of a false-positive mammography result was higher among annual screeners than biennial screeners irrespective of comorbidity: 48.0% (95% confidence interval [CI] = 46.1% to 49.9%) of annual screeners aged 66 to 74 years had a false-positive result compared with 29.0% (95% CI = 28.1% to 29.9%) of biennial screeners. Conclusion Women aged 66 to 89 years who undergo biennial screening mammography have similar risk of advanced-stage disease and lower cumulative risk of a false-positive recommendation than annual screeners, regardless of comorbidity.

  11. Ultrasound screening of periarticular soft tissue abnormality around metal-on-metal bearings.

    PubMed

    Nishii, Takashi; Sakai, Takashi; Takao, Masaki; Yoshikawa, Hideki; Sugano, Nobuhiko

    2012-06-01

    Although metal hypersensitivity or pseudotumors are concerns for metal-on-metal (MoM) bearings, detailed pathologies of patterns, severity, and incidence of periprosthetic soft tissue lesions are incompletely understood. We examined the potential of ultrasound for screening of periarticular soft tissue lesions around MoM bearings. Ultrasound examinations were conducted in 88 hips (79 patients) with MoM hip resurfacings or MoM total hip arthroplasties with a large femoral head. Four qualitative ultrasound patterns were shown, including normal pattern in 69 hips, joint-expansion pattern in 11 hips, cystic pattern in 5 hips, and mass pattern in 3 hips. Hips with the latter 3 abnormal patterns showed significantly higher frequency of clinical symptoms, without significant differences of sex, duration of implantation, head sizes, and cup abduction/anteversion angles, compared with hips with normal pattern. Ultrasound examination provides sensitive screening of soft tissue reactions around MoM bearings and may be useful in monitoring progression and defining treatment for periarticular soft tissue abnormalities. PMID:22047978

  12. Neighborhood factors associated with time to resolution following an abnormal breast or cervical cancer screening test

    PubMed Central

    Plascak, Jesse J.; Llanos, Adana A.; Pennell, Michael L.; Weier, Rory C.; Paskett, Electra D.

    2014-01-01

    Background The effect of neighborhood and healthcare access factors on cancer outcomes among patients enrolled in navigator programs is not clearly understood. This study assessed associations between: 1) neighborhood factors and diagnostic time to resolution (TTR) and, 2) geographic access and TTR following an abnormal breast or cervical cancer screening test among women participating in the Ohio Patient Navigator Research Program (OPNRP). Methods Patient (demographic, socioeconomic status [SES], home-to-clinic distance) and neighborhood (deprivation, racial segregation) characteristics of 801 women living in one of 285 census tracts (CTs) in greater Columbus, Ohio were examined. Randomization to receive navigation occurred at the clinic level. Multilevel Cox regression and spatial analysis were used to estimate effects of various factors on TTR and assess model assumptions, respectively. Results TTR increased as neighborhood deprivation increased. After adjustment for age, friend social support, education and healthcare status, the TTR among women living in a neighborhood with a moderate median household income (between $36,147 and $53,099) was shorter compared to women living in low median household income neighborhoods (< $36,147) (p < 0.05). There is little evidence that unmeasured confounders are geographically patterned. Conclusions Increased neighborhood socioeconomic deprivation was associated with longer TTR following an abnormal breast or cervical cancer screening test. Impact These results highlight the need for addressing patient- and neighborhood-level factors to reduce cancer disparities among underserved populations. PMID:25205516

  13. Predictive value of specific ultrasound findings when used as a screening test for abnormalities on VCUG

    PubMed Central

    Logvinenko, Tanya; Chow, Jeanne S.; Nelson, Caleb P.

    2015-01-01

    Summary Background Renal and bladder ultrasound (RBUS) is often used as an initial screening test for children after urinary tract infection (UTI). The 2011 AAP guidelines specifically recommend that RBUS be performed first, with voiding cystourethrogram (VCUG) to be performed only if the ultrasound is abnormal. While prior research has suggested that RBUS is neither sensitive nor specific for VCUG findings, such as vesicoureteral reflux (VUR), it is uncertain as to whether specific RBUS findings, alone or in combination, might make RBUS more useful as a predictor of VCUG abnormalities. Aims To evaluate the association of specific RBUS with VCUG findings, and determine whether predictive models that accurately predict patients at high risk of VCUG abnormalities, based on RBUS findings, can be constructed. Methods and study sample A total of 3995 patients were identified with VCUG and RBUS performed on the same day. The RBUS and VCUG reports were reviewed and the findings were classified. Analysis was limited to patients aged 0–60 months with no prior postnatal genitourinary imaging and no history of prenatal hydronephrosis. Analysis The associations between large numbers of specific RBUS findings with abnormalities seen on VCUG were investigated. Both multivariate logistic models and a neural network machine learning algorithms were constructed to evaluate the predictive power of RBUS for VCUG abnormalities (including VUR or bladder/urethral findings). Sensitivity, specificity, predictive values and area under receiving operating curves (AUROC) of RBUS for VCUG abnormalities were determined. Results A total of 2259 patients with UTI as the indication for imaging were identified. The RBUS was reported as “normal” in 75.0%. On VCUG, any VUR was identified in 41.7%, VUR grade >II in 20.9%, and VUR grade >III in 2.8%. Many individual RBUS findings were significantly associated with VUR on VCUG. Despite these strong univariate associations, multivariate modeling

  14. Detection of architectural distortion in mammograms using phase portraits

    NASA Astrophysics Data System (ADS)

    Ayres, Fabio J.; Rangayyan, Rangaraj M.

    2004-05-01

    Architectural distortion is a subtle abnormality in mammograms, and a source of overlooking errors by radiologists. Computer-aided diagnosis (CAD) techniques can improve the performance of radiologists in detecting masses and calcifications; however, most CAD systems have not been designed to detect architectural distortion. We present a new method to detect and localize architectural distortion by analyzing the oriented texture in mammograms. A bank of Gabor filters is used to obtain the orientation field of the given mammogram. The orientation field is filtered and downsampled, to reduce noise and also to reduce the computational effort required by the subsequent methods. The downsampled orientation field is analyzed to produce three phase portrait maps: node, saddle, and spiral. The node map is linearly filtered, thresholded, and morphologically filtered to detect architectural distortion. The method was tested with 18 mammograms containing architectural distortion. In a preliminary experiment, a sensitivity of 88% was obtained at 15 false positives per image. Several possibilities for the improvement of the technique are being explored. A qualitative analysis of the performance of the method with stellate lesions indicates potential for enhancement of the technique.

  15. Abnormal TREC-Based Newborn Screening Test in a Premature Neonate with Massive Perivillous Fibrin Deposition of the Placenta

    PubMed Central

    Kostadinov, Stefan; Robbins, Karen A.; Hayward, Anthony

    2016-01-01

    Severe combined immunodeficiency (SCID), a primary immunodeficiency arising from variable defects in lymphocyte development and survival, is characterized by significant deficiency of thymus derived (T-) lymphocytes and variable defects in the B-lymphocyte population. Newborn screening for SCID is based on detection of low numbers of T-cell receptor excision circles (TRECs) by real time quantitative PCR (RT-qPCR). This screening allows for early identification of individuals with SCID and other disorders characterized by T-lymphopenia. Higher rates of abnormal screens are commonly seen in premature and critically ill neonates, often representing false positives. It is possible that many abnormal screens seen in these populations are result of conditions that are characterized by systemic inflammation or stress, possibly in the context of stress-induced thymic involution. We present a case of a male infant delivered at 27 weeks, 6 days of gestation, with severe intrauterine growth restriction who had an abnormal TREC screen and a massive perivillous fibrin deposition (MPFD) of the placenta. This association has not been reported previously. We are raising the awareness to the fact that conditions, such as MPFD, that can create adverse intrauterine environment are capable of causing severe stress-induced thymic involution of the fetus which can present with abnormal TREC results on newborn screening. PMID:27403355

  16. Abnormal TREC-Based Newborn Screening Test in a Premature Neonate with Massive Perivillous Fibrin Deposition of the Placenta.

    PubMed

    Kostadinov, Stefan; Robbins, Karen A; Hayward, Anthony

    2016-01-01

    Severe combined immunodeficiency (SCID), a primary immunodeficiency arising from variable defects in lymphocyte development and survival, is characterized by significant deficiency of thymus derived (T-) lymphocytes and variable defects in the B-lymphocyte population. Newborn screening for SCID is based on detection of low numbers of T-cell receptor excision circles (TRECs) by real time quantitative PCR (RT-qPCR). This screening allows for early identification of individuals with SCID and other disorders characterized by T-lymphopenia. Higher rates of abnormal screens are commonly seen in premature and critically ill neonates, often representing false positives. It is possible that many abnormal screens seen in these populations are result of conditions that are characterized by systemic inflammation or stress, possibly in the context of stress-induced thymic involution. We present a case of a male infant delivered at 27 weeks, 6 days of gestation, with severe intrauterine growth restriction who had an abnormal TREC screen and a massive perivillous fibrin deposition (MPFD) of the placenta. This association has not been reported previously. We are raising the awareness to the fact that conditions, such as MPFD, that can create adverse intrauterine environment are capable of causing severe stress-induced thymic involution of the fetus which can present with abnormal TREC results on newborn screening. PMID:27403355

  17. Multiple Barriers Delay Care Among Women with Abnormal Cancer Screening Despite Patient Navigation

    PubMed Central

    Freund, Karen M.; Bak, Sharon M.; Heeren, Timothy C.; Chen, Clara A.; Battaglia, Tracy A.

    2015-01-01

    Abstract Background: While there is widespread dissemination of patient navigation programs in an effort to reduce delays in cancer care, little is known about the impact of barriers to care on timely outcomes. Methods: We conducted a secondary analysis of the Boston Patient Navigation Research Program (PNRP) to examine the effect that the presence of barriers had on time to diagnostic resolution of abnormal breast or cervical cancer screening tests. We used multivariable Cox proportional hazards regression with time to diagnostic resolution as the outcome to examine the effect of the number of barriers, controlling for demographic covariates and clustered by patients' primary navigator. Results: There were 1481 women who received navigation; mean age was 39 years; 32% were White, 27% Black, and 31% Hispanic; 28% had private health insurance; and 38% did not speak English. Overall, half (n=745, 50%) had documentation of one or more barriers to care. Women with barriers were more likely to be older, non-White, non-English language speakers, and on public or no health insurance compared with women without barriers. In multivariable analyses, we found less timely diagnostic resolution as the number of barriers increased (one barrier, adjusted hazard ratio [aHR] 0.81 [95% CI 0.56–1.17], p=0.26; two barriers, aHR 0.55 [95% CI 0.37–0.81], p=0.0025; three or more barriers, aHR 0.31 [95% CI 0.21–0.46], p<0.0001)]. Conclusion: Within a patient navigation program proven to reduce delays in care, we found that navigated patients with documented barriers to care experience less timely resolution of abnormal cancer screening tests. PMID:25513858

  18. Performance of radiographers in mammogram interpretation: a systematic review.

    PubMed

    van den Biggelaar, F J H M; Nelemans, P J; Flobbe, K

    2008-02-01

    Radiologists may be relieved from work that could be performed by radiographers. This systematic literature review focuses on the performance of radiographers (also referring to technologists and physician assistants) compared with radiologists in the interpretation of mammograms; the effect of training; and the question whether there are any studies evaluating the effects of involving radiographers in the interpretation of diagnostic mammograms in daily clinical practice on the sensitivity and specificity of cancer detection in breast imaging. Six studies met the inclusion criteria (primary aim of the study has to be the evaluation of the performance of radiographers, sensitivity and specificity have to be reported or calculable and there has to be a sufficient gold standard). The results showed that, in a screening setting, radiographers scored higher false positive rates with a similar sensitivity in the detection of malignancies, compared with radiologists. Furthermore, results suggested that training could improve their performance. No studies were reported assessing the performance of radiographers interpreting diagnostic mammograms in a consecutive patient population in a daily clinical setting. This indicates a need for a well-designed diagnostic study using an adequate gold standard, in order to evaluate the feasibility of deploying radiographers in the interpretation of diagnostic mammograms in a clinical setting. PMID:17764941

  19. Predicting breast cancer risk using mammographic density measurements from both mammogram sides and views.

    PubMed

    Stone, Jennifer; Ding, Jane; Warren, Ruth M L; Duffy, Stephen W

    2010-11-01

    Mammographic density is a strong risk factor for breast cancer. Which and how many x-rays are used for research, and how mammographic density is measured varies across studies. In this article, we compared three different measurements (absolute dense area, percent dense area and percent dense volume) from each of four mammograms [left, right, medio-lateral oblique (MLO) and cranio-caudal (CC) views] using three different methods of measurement [computer-assisted thresholding, visual assessment and standard mammogram form (SMF)] to investigate whether additional measurements and/or different methods of measurement provide more information in the prediction of breast cancer risk. Mammographic density was measured in all four mammograms from 318 cases and 899 age-matched controls combined from the Cambridge and Norwich Breast Screening Programmes. Measurements were averaged across various combinations of mammogram type and/or view. Conditional logistic regression was used to estimate odds ratios associated with increasing quintiles of each mammographic measure. Overall, there appeared to be no difference in the fit of the models using two or four mammograms compared to the models using just the contralateral MLO or CC mammogram (all P > 0.07) for all methods of measurement. Common practice of measuring just the contralateral MLO or CC mammogram for analysis in case-control studies investigating the association between mammographic density and breast cancer risk appears to be sufficient.

  20. Screening for abnormal eating attitudes in a population of Egyptian secondary school girls.

    PubMed

    Nasser, M

    1994-02-01

    Recent research indicates that identification with the western ideal of slimness can be followed by heightened weight consciousness and development of eating disorders in cultures thought to be relatively immune from developing such disorders. In this study, which is based on an earlier one by the same author, a population of secondary school girls in Cairo, Egypt (n = 351) was screened for abnormal eating attitudes using a translated version of the Eating Attitude Test Questionnaire. Of the girls screened, 11.4% scored positively on the questionnaire and were subsequently interviewed. Three cases clearly fulfilled Russell's criteria for a diagnosis of the full syndrome of bulimia nervosa (1.2%). This is broadly in keeping with rates in studies in the United Kingdom. Twelve pupils (3.4%) showed sufficient concern over their weight to qualify for diagnosis as a partial syndrome of bulimia nervosa. The results confirmed the initial impression that disorders of eating are emerging in cultures that did not produce such morbidity in the past, with more or less the same prevalence as in the United Kingdom. The study concludes that no society is truly immune to the development of such disorders, because of the globalisation of culture by virtue of the media. PMID:8178219

  1. Role of endometrial cancer abnormal MMR protein in screening Lynch-syndrome families

    PubMed Central

    Long, Qiongxian; Peng, Yong; Tang, Zhirong; Wu, Cailiang

    2014-01-01

    Objective: To identify patients with endometrial cancer with potential Lynch-related DNA mismatch repair (MMR) protein expression defects and to explore the role of these defects in screening for LS. Methods: Endometrial cancers from 173 patients recruited to the Nanchong Central Hospital were tested for MMR (MLH1, MSH2, PMS2, and MSH6) protein expression using immunohistochemistry (IHC). Results: In the 173 tumor tissue samples, the expression loss rates of MSH6, MSH2, PMS2 and MLH1 protein were 16.18% (28/173), 12.14% (21/173), 7.51% (13/173) and 5.78% (10/173), respectively. The total loss rate of MMR protein was 29.89% (27/87). There were 19 patients with a family history of cancer, of which 18 patients demonstrated loss of expression of MMR protein. In the 22 abnormal MMR patients without family history, five families were found to have Lynch-associated cancer (colorectal cancer, endometrial cancer, ovarian cancer, stomach cancer) after follow-up for two years. Conclusion: MMR proteins play an important role in the progress of endometrial cancer. The routine testing of MMR proteins in endometrial cancer can contribute to the screening of LS families, especially small families. PMID:25400828

  2. Screening for abnormal eating attitudes in a population of Egyptian secondary school girls.

    PubMed

    Nasser, M

    1994-02-01

    Recent research indicates that identification with the western ideal of slimness can be followed by heightened weight consciousness and development of eating disorders in cultures thought to be relatively immune from developing such disorders. In this study, which is based on an earlier one by the same author, a population of secondary school girls in Cairo, Egypt (n = 351) was screened for abnormal eating attitudes using a translated version of the Eating Attitude Test Questionnaire. Of the girls screened, 11.4% scored positively on the questionnaire and were subsequently interviewed. Three cases clearly fulfilled Russell's criteria for a diagnosis of the full syndrome of bulimia nervosa (1.2%). This is broadly in keeping with rates in studies in the United Kingdom. Twelve pupils (3.4%) showed sufficient concern over their weight to qualify for diagnosis as a partial syndrome of bulimia nervosa. The results confirmed the initial impression that disorders of eating are emerging in cultures that did not produce such morbidity in the past, with more or less the same prevalence as in the United Kingdom. The study concludes that no society is truly immune to the development of such disorders, because of the globalisation of culture by virtue of the media.

  3. Automatic segmentation of mammogram and tomosynthesis images

    NASA Astrophysics Data System (ADS)

    Sargent, Dusty; Park, Sun Young

    2016-03-01

    Breast cancer is a one of the most common forms of cancer in terms of new cases and deaths both in the United States and worldwide. However, the survival rate with breast cancer is high if it is detected and treated before it spreads to other parts of the body. The most common screening methods for breast cancer are mammography and digital tomosynthesis, which involve acquiring X-ray images of the breasts that are interpreted by radiologists. The work described in this paper is aimed at optimizing the presentation of mammography and tomosynthesis images to the radiologist, thereby improving the early detection rate of breast cancer and the resulting patient outcomes. Breast cancer tissue has greater density than normal breast tissue, and appears as dense white image regions that are asymmetrical between the breasts. These irregularities are easily seen if the breast images are aligned and viewed side-by-side. However, since the breasts are imaged separately during mammography, the images may be poorly centered and aligned relative to each other, and may not properly focus on the tissue area. Similarly, although a full three dimensional reconstruction can be created from digital tomosynthesis images, the same centering and alignment issues can occur for digital tomosynthesis. Thus, a preprocessing algorithm that aligns the breasts for easy side-by-side comparison has the potential to greatly increase the speed and accuracy of mammogram reading. Likewise, the same preprocessing can improve the results of automatic tissue classification algorithms for mammography. In this paper, we present an automated segmentation algorithm for mammogram and tomosynthesis images that aims to improve the speed and accuracy of breast cancer screening by mitigating the above mentioned problems. Our algorithm uses information in the DICOM header to facilitate preprocessing, and incorporates anatomical region segmentation and contour analysis, along with a hidden Markov model (HMM) for

  4. Computation of synthetic mammograms with an edge-weighting algorithm

    NASA Astrophysics Data System (ADS)

    Homann, Hanno; Bergner, Frank; Erhard, Klaus

    2015-03-01

    The promising increase in cancer detection rates1, 2 makes digital breast tomosynthesis (DBT) an interesting alternative to full-field digital mammography (FFDM) in breast cancer screening. However, this benefit comes at the cost of an increased average glandular dose in a combined DBT plus FFDM acquisition protocol. Synthetic mammograms, which are computed from the reconstructed tomosynthesis volume data, have demonstrated to be an alternative to a regular FFDM exposure in a DBT plus synthetic 2D reading mode.3 Besides weighted averaging and modified maximum intensity projection (MIP) methods,4, 5 the integration of CAD techniques for computing a weighting function in the forward projection step of the synthetic mammogram generation has been recently proposed.6, 7 In this work, a novel and computationally efficient method is presented based on an edge-retaining algorithm, which directly computes the weighting function by an edge-detection filter.

  5. A heuristic approach to automated nipple detection in digital mammograms.

    PubMed

    Jas, Mainak; Mukhopadhyay, Sudipta; Chakraborty, Jayasree; Sadhu, Anup; Khandelwal, Niranjan

    2013-10-01

    In this paper, a heuristic approach to automated nipple detection in digital mammograms is presented. A multithresholding algorithm is first applied to segment the mammogram and separate the breast region from the background region. Next, the problem is considered separately for craniocaudal (CC) and mediolateral-oblique (MLO) views. In the simplified algorithm, a search is performed on the segmented image along a band around the centroid and in a direction perpendicular to the pectoral muscle edge in the MLO view image. The direction defaults to the horizontal (perpendicular to the thoracic wall) in case of CC view images. The farthest pixel from the base found in this direction can be approximated as the nipple point. Further, an improved version of the simplified algorithm is proposed which can be considered as a subclass of the Branch and Bound algorithms. The mean Euclidean distance between the ground truth and calculated nipple position for 500 mammograms from the Digital Database for Screening Mammography (DDSM) database was found to be 11.03 mm and the average total time taken by the algorithm was 0.79 s. Results of the proposed algorithm demonstrate that even simple heuristics can achieve the desired result in nipple detection thus reducing the time and computational complexity.

  6. Evaluation of radiographers’ mammography screen-reading accuracy in Australia

    SciTech Connect

    Debono, Josephine C; Poulos, Ann E; Houssami, Nehmat; Turner, Robin M; Boyages, John

    2015-03-15

    This study aimed to evaluate the accuracy of radiographers’ screen-reading mammograms. Currently, radiologist workforce shortages may be compromising the BreastScreen Australia screening program goal to detect early breast cancer. The solution to a similar problem in the United Kingdom has successfully encouraged radiographers to take on the role as one of two screen-readers. Prior to consideration of this strategy in Australia, educational and experiential differences between radiographers in the United Kingdom and Australia emphasise the need for an investigation of Australian radiographers’ screen-reading accuracy. Ten radiographers employed by the Westmead Breast Cancer Institute with a range of radiographic (median = 28 years), mammographic (median = 13 years) and BreastScreen (median = 8 years) experience were recruited to blindly and independently screen-read an image test set of 500 mammograms, without formal training. The radiographers indicated the presence of an abnormality using BI-RADS®. Accuracy was determined by comparison with the gold standard of known outcomes of pathology results, interval matching and client 6-year follow-up. Individual sensitivity and specificity levels ranged between 76.0% and 92.0%, and 74.8% and 96.2% respectively. Pooled screen-reader accuracy across the radiographers estimated sensitivity as 82.2% and specificity as 89.5%. Areas under the reading operating characteristic curve ranged between 0.842 and 0.923. This sample of radiographers in an Australian setting have adequate accuracy levels when screen-reading mammograms. It is expected that with formal screen-reading training, accuracy levels will improve, and with support, radiographers have the potential to be one of the two screen-readers in the BreastScreen Australia program, contributing to timeliness and improved program outcomes.

  7. Using autoencoders for mammogram compression.

    PubMed

    Tan, Chun Chet; Eswaran, Chikkannan

    2011-02-01

    This paper presents the results obtained for medical image compression using autoencoder neural networks. Since mammograms (medical images) are usually of big sizes, training of autoencoders becomes extremely tedious and difficult if the whole image is used for training. We show in this paper that the autoencoders can be trained successfully by using image patches instead of the whole image. The compression performances of different types of autoencoders are compared based on two parameters, namely mean square error and structural similarity index. It is found from the experimental results that the autoencoder which does not use Restricted Boltzmann Machine pre-training yields better results than those which use this pre-training method.

  8. Textural assessment in digital mammograms.

    PubMed

    Trujillo-Zamudio, F E; Márquez, J; Villaseñor, Y; Brandan, M E

    2006-01-01

    This work focuses on testing textural and morphological parameters to assess characteristic features of digital mammograms. The selected images were radiological studies from the Institute Nacional de Cancerologia in Mexico City, evaluated as BI-RADS 4 or 5, meaning "probably malign" or "malign" findings, respectively. All patients were subjected to a biopsy procedure after the image was taken. The study group consisted of patients diagnosed with cancer, while the control group included those without cancer. We propose to analyze textural roughness by the mean height-width ratio of extrema (MHWRE) and morphological features by circularity. Results show good differentiation (correct diagnosis) for 46% of the images, bad differentiation (wrong diagnosis) for 25%, and undetermined diagnosis for 29% of the cases.

  9. Chromosome Abnormalities

    MedlinePlus

    ... decade, newer techniques have been developed that allow scientists and doctors to screen for chromosomal abnormalities without using a microscope. These newer methods compare the patient's DNA to a normal DNA ...

  10. Risk of abnormal triple screen for Down syndrome is significantly higher in patients with female fetuses.

    PubMed

    Spong, C Y; Ghidini, A; Stanley-Christian, H; Meck, J M; Seydel, F D; Pezzullo, J C

    1999-04-01

    Previous studies have shown that mid-trimester maternal serum alpha-fetoprotein (AFP) levels are significantly higher and human chorionic gonadotrophin (hCG) levels significantly lower in women with male compared with female fetuses. We have evaluated whether triple-screen criteria are more likely to identify women with female fetuses as at risk for Down syndrome. From the Georgetown University genetics database we obtained the absolute values and corresponding multiples of the median (MoM) for AFP, hCG and unconjugated oestriol (uE3) in singleton gestations for the period database November 1992 July 1996. A Down syndrome risk of 1/270 or greater at mid-trimester was considered as high risk. A total of 977 patients with triple screen and outcome information were identified, including 502 female and 475 male fetuses. Patients with female fetuses were significantly more likely to have lower serum AFP (p=0.003) and a positive triple screen for Down syndrome (72 (14 per cent) versus 45 (9 per cent), p<0.02) than those with male fetuses. The gestational age at triple screen, maternal serum hCG and uE3, race and diabetes were not significantly different between the two groups. Since Down syndrome is less common in female than male fetuses, and the rates of female and male Down syndrome fetuses detected by triple screen and subsequent amniocentesis are not significantly different, the excess of positive mid-trimester maternal serum triple screen in women with female fetuses is likely due to false-positive results. PMID:10327139

  11. Genetic Counseling for Patients Considering Screening and Diagnosis for Chromosomal Abnormalities.

    PubMed

    Chard, Renée L; Norton, Mary E

    2016-06-01

    With the introduction of cell-free DNA screening for fetal aneuploidy and chromosomal microarray for prenatal diagnostic testing, options for pregnant women have become increasingly complex. Discussions regarding options for prenatal testing for aneuploidy should occur prior to any testing and should include pertinent risks and benefits of each alternative test. There is no single screening or diagnostic test option that is the right choice for all patients; patient decisions should be based on each individual woman's values and preferences after a discussion of all options. PMID:27235908

  12. Evidence-Based Assessment in Case Management to Improve Abnormal Cancer Screen Follow-Up

    ERIC Educational Resources Information Center

    Vourlekis, Betsy; Ell, Kathleen; Padgett, Deborah

    2005-01-01

    The authors describe an evidence-based assessment protocol for intensive case management to improve screening diagnostic follow-up developed through a research project in breast and cervical cancer early detection funded by the Centers for Disease Control and Prevention. Three components of an evidence-based approach to assessment are presented…

  13. Automated analysis of image mammogram for breast cancer diagnosis

    NASA Astrophysics Data System (ADS)

    Nurhasanah, Sampurno, Joko; Faryuni, Irfana Diah; Ivansyah, Okto

    2016-03-01

    Medical imaging help doctors in diagnosing and detecting diseases that attack the inside of the body without surgery. Mammogram image is a medical image of the inner breast imaging. Diagnosis of breast cancer needs to be done in detail and as soon as possible for determination of next medical treatment. The aim of this work is to increase the objectivity of clinical diagnostic by using fractal analysis. This study applies fractal method based on 2D Fourier analysis to determine the density of normal and abnormal and applying the segmentation technique based on K-Means clustering algorithm to image abnormal for determine the boundary of the organ and calculate the area of organ segmentation results. The results show fractal method based on 2D Fourier analysis can be used to distinguish between the normal and abnormal breast and segmentation techniques with K-Means Clustering algorithm is able to generate the boundaries of normal and abnormal tissue organs, so area of the abnormal tissue can be determined.

  14. Usefulness of screening cardiovascular magnetic resonance imaging to detect aortic abnormalities after repair of coarctation of the aorta.

    PubMed

    Tsai, Shane F; Trivedi, Mira; Boettner, Bethany; Daniels, Curt J

    2011-01-15

    Guidelines recommend screening cardiovascular magnetic resonance (Sc-CMR) imaging for all patients after coarctation of the aorta repair, although there are limited data verifying its clinical utility. Therefore, we sought to assess the value of Sc-CMR in detecting aortic complications and at-risk abnormalities after coarctation of the aorta repair and to identify significant risk factors. We reviewed 76 patients (mean age 31 ± 10 years), including 40 with symptomatically indicated CMR (Sx-CMR) and 36 with Sc-CMR studies. CMR angiograms were evaluated for aortic abnormalities. Recoarctation was defined as residual narrowing/descending aorta at the diaphragm ≤0.5 (at risk ≤0.75), ascending aorta aneurysm as maximum ascending cross-sectional area/height ≥10 (at risk ≥5), and descending aorta aneurysm as maximum descending diameter/descending aorta at the diaphragm ≥1.5 (at risk ≥1.25). Aortic complications or abnormalities were found in 45 patients (59%). No patient met criteria for recoarctation (at risk 10 Sx-CMR vs 5 Sc-CMR). Significant risk factors included heart failure symptoms and female gender (p <0.05). One patient (Sc-CMR) had ascending aneurysm (at risk 17 Sx-CMR vs 8 Sc-CMR). Time from repair was a significant predictor (p <0.05). There were 10 patients (6 Sx-CMR vs 4 Sc-CMR) with descending aneurysm (at risk 8 Sx-CMR vs 7 Sc-CMR). Cardiovascular symptoms, hypertension, and echocardiogram were not predictive. In conclusion, >50% of patients undergoing Sc-CMR had aortic abnormalities, which was not significantly different from those undergoing Sx-CMR. In particular, Sc-CMR identified descending aorta aneurysms that were not predicted by clinical parameters or echocardiogram.

  15. The Effect of Breast Implants on Mammogram Outcomes.

    PubMed

    Kam, Kelli; Lee, Esther; Pairawan, Seyed; Anderson, Kendra; Cora, Cherie; Bae, Won; Senthil, Maheswari; Solomon, Naveenraj; Lum, Sharon

    2015-10-01

    Breast cancer detection in women with implants has been questioned. We sought to evaluate the impact of breast implants on mammographic outcomes. A retrospective review of women undergoing mammography between March 1 and October 30, 2013 was performed. Demographic characteristics and mammogram results were compared between women with and without breast implants. Overall, 4.8 per cent of 1863 women identified during the study period had breast implants. Median age was 59 years (26-93). Women with implants were younger (53.9 vs 59.2 years, P < 0.0001), had lower body mass index (25.4 vs 28.9, P < 0.0001), and were more likely to have dense breast tissue (72.1% vs 56.4%, P = 0.004) than those without. There were no statistically significant differences with regards to Breast Imaging Recording and Data System 0 score (13.3% with implants vs 21.4% without), call back exam (18.9% with vs 24.1% without), time to resolution of abnormal imaging (58.6 days with vs 43.3 without), or cancer detection rate (0% with implants vs 1.0% without). Because implants did not significantly affect mammogram results, women with implants should be reassured that mammography remains useful in detecting cancer. However, future research is required to determine whether lower call back rates and longer time to resolution of imaging findings contribute to delays in diagnosis in patients with implants. PMID:26463307

  16. Screening for chromosomal abnormalities using combined test in the first trimester of pregnancy

    PubMed Central

    Park, Soo Yeon; Jang, In Ae; Lee, Min Ah; Kim, Young Ju; Chun, Sun Hee

    2016-01-01

    Objective This study was designed to review the screening performance of combined test at the Ewha Womans University Mokdong hospital. Methods All women admitted for routine antenatal care between January 1st 2008 and December 31st 2012 with a known pregnancy outcome were included in this study, totaling 1,156 women with singleton pregnancies presenting at 10 to 13 weeks of gestation. Women were offered screening using a combination of maternal serum pregnancy-associated plasma protein-A, free β-human chorionic gonadotropin and fetal nuchal translucency thickness. Those with an estimated risk of ≥1 in 250 of carrying a fetus with trisomy 21 or ≥1 in 300 risk of trisomy 18 were offered genetic counseling with the option of an invasive diagnostic test. Results The median of gestational age was 11+3 weeks, the median of crown-rump length was 47.1 mm, and the median age of the women was 31 years. The detection rate was 80% for trisomy 21 (4 of 5) and 100% for trisomy 13 and 18 (all 2). The false-positive rate was 7.73% for trisomy 21 and 1.21% for trisomy 18. Conclusion This study was the first large population study performed with the aim of analyzing the performance of the combined test in Korea. This study demonstrated that the detection rates and other figures of the first trimester combined test are comparable to the results reported in other papers worldwide. Consequently, if strict conditions for good screening outcomes are achieved, the first trimester combined test might well be the earliest detectable screening, improving detection rates without increasing karyotyping or economic and other implications that inevitably ensue. PMID:27668198

  17. Screening for chromosomal abnormalities using combined test in the first trimester of pregnancy

    PubMed Central

    Park, Soo Yeon; Jang, In Ae; Lee, Min Ah; Kim, Young Ju; Chun, Sun Hee

    2016-01-01

    Objective This study was designed to review the screening performance of combined test at the Ewha Womans University Mokdong hospital. Methods All women admitted for routine antenatal care between January 1st 2008 and December 31st 2012 with a known pregnancy outcome were included in this study, totaling 1,156 women with singleton pregnancies presenting at 10 to 13 weeks of gestation. Women were offered screening using a combination of maternal serum pregnancy-associated plasma protein-A, free β-human chorionic gonadotropin and fetal nuchal translucency thickness. Those with an estimated risk of ≥1 in 250 of carrying a fetus with trisomy 21 or ≥1 in 300 risk of trisomy 18 were offered genetic counseling with the option of an invasive diagnostic test. Results The median of gestational age was 11+3 weeks, the median of crown-rump length was 47.1 mm, and the median age of the women was 31 years. The detection rate was 80% for trisomy 21 (4 of 5) and 100% for trisomy 13 and 18 (all 2). The false-positive rate was 7.73% for trisomy 21 and 1.21% for trisomy 18. Conclusion This study was the first large population study performed with the aim of analyzing the performance of the combined test in Korea. This study demonstrated that the detection rates and other figures of the first trimester combined test are comparable to the results reported in other papers worldwide. Consequently, if strict conditions for good screening outcomes are achieved, the first trimester combined test might well be the earliest detectable screening, improving detection rates without increasing karyotyping or economic and other implications that inevitably ensue.

  18. Fuzzy system for detecting microcalcifications in mammograms

    NASA Astrophysics Data System (ADS)

    Strickland, Robin N.; Theodosiou, Theodosis

    1998-10-01

    We present a fuzzy classifier for detecting microcalcification sin digitized mammograms. The classifier post-processes the output form a wavelets-based multiscale correlation filter. Each local peak in the correlation filter output is represented by a set of five features describing the shape, size and definition of the peak. These features are used in linguistic rules by a fuzzy system that is trained to distinguish between microcalcification sand normal mammogram texture. In borderline cases where microcalcifications are buried in dense tissue or appear only faintly, simply drawing a straight threshold across the feature vector values will likely not produce the correct classification. the fuzzy system allows the effective 'threshold' to be drawn across ranges of features values depending upon how they interact with one another. Compared to wavelet processing alone, the fuzzy detection system produces a significant increase in true positive fraction when tested on a public domain mammogram database.

  19. Gabor filters and phase portraits for the detection of architectural distortion in mammograms.

    PubMed

    Rangayyan, Rangaraj M; Ayres, Fábio J

    2006-10-01

    Architectural distortion is a subtle abnormality in mammograms, and a source of overlooking errors by radiologists. Computer-aided diagnosis (CAD) techniques can improve the performance of radiologists in detecting masses and calcifications; however, most CAD systems have not been designed to detect architectural distortion. We present a new method to detect and localise architectural distortion by analysing the oriented texture in mammograms. A bank of Gabor filters is used to obtain the orientation field of the given mammogram. The curvilinear structures (CLS) of interest (spicules and fibrous tissue) are separated from confounding structures (pectoral muscle edge, parenchymal tissue edges, breast boundary, and noise). The selected core CLS pixels and the orientation field are filtered and downsampled, to reduce noise and also to reduce the computational effort required by the subsequent methods. The downsampled orientation field is analysed to produce three phase portrait maps: node, saddle, and spiral. The node map is further analysed in order to detect the sites of architectural distortion. The method was tested with 19 mammograms containing architectural distortion. In a preliminary experiment, a sensitivity of 84% was obtained at 7.8 false positives per image.

  20. Response to an abnormal ovarian cancer-screening test result: test of the social cognitive processing and cognitive social health information processing models.

    PubMed

    Andrykowski, Michael A; Pavlik, Edward J

    2011-04-01

    All cancer screening tests produce a proportion of abnormal results requiring follow up. Consequently, the cancer-screening setting is a natural laboratory for examining psychological and behavioural response to a threatening health-related event. This study tested hypotheses derived from the social cognitive processing and cognitive-social health information processing models in trying to understand response to an abnormal ovarian cancer (OC) screening test result. Women (n = 278) receiving an abnormal screening test result a mean of 7 weeks earlier were assessed prior to a repeat screening test intended to clarify their previous abnormal result. Measures of disposition (optimism, informational coping style), social environment (social support and constraint), emotional processing, distress, and benefit finding were obtained. Regression analyses indicated greater distress was associated with greater social constraint and emotional processing and a monitoring coping style in women with a family history of OC. Distress was unrelated to social support. Greater benefit finding was associated with both greater social constraint and support and greater distress. The primacy of social constraint in accounting for both benefit finding and distress was noteworthy and warrants further research on the role of social constraint in adaptation to stressful events.

  1. Breast peripheral area correction in digital mammograms.

    PubMed

    Tortajada, Meritxell; Oliver, Arnau; Martí, Robert; Ganau, Sergi; Tortajada, Lidia; Sentís, Melcior; Freixenet, Jordi; Zwiggelaar, Reyer

    2014-07-01

    Digital mammograms may present an overexposed area in the peripheral part of the breast, which is visually shown as a darker area with lower contrast. This has a direct impact on image quality and affects image visualisation and assessment. This paper presents an automatic method to enhance the overexposed peripheral breast area providing a more homogeneous and improved view of the whole mammogram. The method automatically restores the overexposed area by equalising the image using information from the intensity of non-overexposed neighbour pixels. The correction is based on a multiplicative model and on the computation of the distance map from the breast boundary. A total of 334 digital mammograms were used for evaluation. Mammograms before and after enhancement were evaluated by an expert using visual comparison. In 90.42% of the cases, the enhancement obtained improved visualisation compared to the original image in terms of contrast and detail. Moreover, results show that lesions found in the peripheral area after enhancement presented a more homogeneous intensity distribution. Hence, peripheral enhancement is shown to improve visualisation and will play a role in further development of CAD systems in mammography.

  2. A case of melioidosis of the breast present at screening mammography.

    PubMed

    Lengren, J; Withey, G; Hack, J

    2002-02-01

    A previously well 54-year-old woman presented for screening mammography with a 3-day history of an inflamed lump in her right breast. She was subsequently admitted to hospital with acute melioidosis where right breast abscesses were drained. Following recovery and discharge, she was reviewed at the mammographic screening unit where her previous abnormal mammogram was found to be due to melioidosis. To our knowledge this is the first reported case of melioidosis of the breast and its appearance on mammography and ultrasound are described.

  3. Health professionals' agreement on density judgements and successful abnormality identification within the UK Breast Screening Programme

    NASA Astrophysics Data System (ADS)

    Darker, Iain T.; Chen, Yan; Gale, Alastair G.

    2011-03-01

    Higher breast density is associated with a greater chance of developing breast cancer. Additionally, it is well known that higher mammographic breast density is associated with increased difficulty in accurately identifying breast cancer. However, comparatively little is known of the reliability of breast density judgements. All UK breast screeners (primarily radiologists and technologists) annually participate in the PERFORMS self-assessment scheme where they make several judgements about series of challenging recent screening cases of known outcomes. As part of this process, for each case, they provide a radiological assessment of the likelihood of cancer on a confidence scale, alongside an assessment of case density using a three point scale. Analysis of the data from two years of the scheme found that the degree of agreement on case density was significantly greater than no agreement (p < .001). However, only a moderate degree of inter-rater reliability was exhibited (κ = .44) with significant differences between the occupational groups. The reasons for differences between the occupational groups and the relationship between agreement on density rating and case reading ability are explored.

  4. Sampling probability distributions of lesions in mammograms

    NASA Astrophysics Data System (ADS)

    Looney, P.; Warren, L. M.; Dance, D. R.; Young, K. C.

    2015-03-01

    One approach to image perception studies in mammography using virtual clinical trials involves the insertion of simulated lesions into normal mammograms. To facilitate this, a method has been developed that allows for sampling of lesion positions across the cranio-caudal and medio-lateral radiographic projections in accordance with measured distributions of real lesion locations. 6825 mammograms from our mammography image database were segmented to find the breast outline. The outlines were averaged and smoothed to produce an average outline for each laterality and radiographic projection. Lesions in 3304 mammograms with malignant findings were mapped on to a standardised breast image corresponding to the average breast outline using piecewise affine transforms. A four dimensional probability distribution function was found from the lesion locations in the cranio-caudal and medio-lateral radiographic projections for calcification and noncalcification lesions. Lesion locations sampled from this probability distribution function were mapped on to individual mammograms using a piecewise affine transform which transforms the average outline to the outline of the breast in the mammogram. The four dimensional probability distribution function was validated by comparing it to the two dimensional distributions found by considering each radiographic projection and laterality independently. The correlation of the location of the lesions sampled from the four dimensional probability distribution function across radiographic projections was shown to match the correlation of the locations of the original mapped lesion locations. The current system has been implemented as a web-service on a server using the Python Django framework. The server performs the sampling, performs the mapping and returns the results in a javascript object notation format.

  5. Study of the Effect of Breast Tissue Density on Detection of Masses in Mammograms

    PubMed Central

    García-Manso, A.; García-Orellana, C. J.; González-Velasco, H. M.; Gallardo-Caballero, R.; Macías-Macías, M.

    2013-01-01

    One of the parameters that are usually stored for mammograms is the BI-RADS density, which gives an idea of the breast tissue composition. In this work, we study the effect of BI-RADS density in our ongoing project for developing an image-based CAD system to detect masses in mammograms. This system consists of two stages. First, a blind feature extraction is performed for regions of interest (ROIs), using Independent Component Analysis (ICA). Next, in the second stage, those features form the input vectors to a classifier, neural network, or SVM classifier. To train and test our system, the Digital Database for Screening Mammography (DDSM) was used. The results obtained show that the maximum variation in the performance of our system considering only prototypes obtained from mammograms with a concrete value of density (both for training and test) is about 7%, yielding the best values for density equal to 1, and the worst for density equal to 4, for both classifiers. Finally, with the overall results (i.e., using prototypes from mammograms with all the possible values of densities), we obtained a difference in performance that is only 2% lower than the maximum, also for both classifiers. PMID:23573165

  6. Automatic extraction of pectoral muscle in the MLO view of mammograms

    NASA Astrophysics Data System (ADS)

    Feudjio, C. K.; Klein, J.; Tiedeu, A.; Colot, O.

    2013-12-01

    A mammogram is the standard modality used for breast cancer screening. Computer-aided detection (CAD) approaches are helpful for improving breast cancer detection rates when applied to mammograms. However, automated analysis of a mammogram often leads to inaccurate results in the presence of the pectoral muscle. Therefore, it is necessary to first handle pectoral muscle segmentation separately before any further analysis of a mammogram. One difficulty to overcome when segmenting out pectoral muscle is its strong overlapping with dense glandular tissue which tampers with its extraction. This paper introduces an automated two-step approach for pectoral muscle extraction. The pectoral region is firstly estimated through segmentation by mean of a modified Fuzzy C-Means clustering algorithm. After contour validation, the final boundary is delineated through iterative refinement of edge point using average gradient. The proposed method is quite simple in implementation and yields accurate results. It was tested on a set of images from the MIAS database and yielded results which, compared to those of some state-of-the-art approaches, were better.

  7. Plans to obtain a mammogram among Chilean women: the roles of recommendations and self-efficacy

    PubMed Central

    Molina, Yamile; Martínez-Gutiérrez, Javiera; Püschel, Klaus; Thompson, Beti

    2013-01-01

    Social factors may heavily influence cancer screening decisions and practices among Latinas, given the importance their culture places on close, interpersonal relationships. Recommendations by healthcare providers, family and friends have been associated with early detection strategies among US-based Latina populations, but little is known about other Latin American populations. Furthermore, less is known about mechanisms underlying this relationship. In this study, we sought to (i) understand if different types of recommendations were associated with subsequent plans to obtain a mammogram and (ii) assess the potential mediating roles of perceived importance of these recommendations and self-efficacy. Our sample included 250 women residing in a low-income, urban area of Santiago, Chile, and who had participated in a 6-month intervention to increase mammography screening, but remained non-compliant. Women who received family recommendations were more likely to indicate they planned to receive a mammogram in the next 6 months. Perceived self-efficacy mediated this relationship, such that women who received a family recommendation appeared to be more likely to plan to get a mammogram because of increased perceived capabilities to do so. Future research should consider the cultural context of family and self-efficacy in the development of screening interventions for Latinas. PMID:23515116

  8. American College of Radiology Imaging Network digital mammographic imaging screening trial: objectives and methodology.

    PubMed

    Pisano, Etta D; Gatsonis, Constantine A; Yaffe, Martin J; Hendrick, R Edward; Tosteson, Anna N A; Fryback, Dennis G; Bassett, Lawrence W; Baum, Janet K; Conant, Emily F; Jong, Roberta A; Rebner, Murray; D'Orsi, Carl J

    2005-08-01

    This study was approved by the Institutional Review Board (IRB) of the American College of Radiology Imaging Network (ACRIN) and each participating site and by the IRB and the Cancer Therapy Evaluation Program at the National Cancer Institute. The study was monitored by an independent Data Safety and Monitoring Board, which received interim analyses of data to ensure that the study would be terminated early if indicated by trends in the outcomes. The ACRIN, which is funded by the National Cancer Institute, conducted the Digital Mammographic Imaging Screening Trial (DMIST) primarily to compare the diagnostic accuracy of digital and screen-film mammography in asymptomatic women presenting for screening for breast cancer. Over the 25.5 months of enrollment, a total of 49 528 women were included at the 33 participating sites, which used five different types of digital mammography equipment. All participants underwent both screen-film and digital mammography. The digital and screen-film mammograms of each subject were independently interpreted by two radiologists. If findings of either examination were interpreted as abnormal, subsequent work-up occurred according to the recommendations of the interpreting radiologist. Breast cancer status was determined at biopsy or follow-up mammography 11-15 months after study entry. In addition to the measurement of diagnostic accuracy by using the interpretations of mammograms at the study sites, DMIST included evaluations of the relative cost-effectiveness and quality-of-life effects of digital versus screen-film mammography. Six separate reader studies using the de-identified archived DMIST mammograms will also assess the diagnostic accuracy of each of the individual digital mammography machines versus screen-film mammography machines, the effect of breast density on diagnostic accuracy of digital and screen-film mammography, and the effect of different rates of breast cancer on the diagnostic accuracy in a reader study. PMID

  9. AdaBoost-based multiple SVM-RFE for classification of mammograms in DDSM

    PubMed Central

    Yoon, Sejong; Kim, Saejoon

    2009-01-01

    Background Digital mammography is one of the most promising options to diagnose breast cancer which is the most common cancer in women. However, its effectiveness is enfeebled due to the difficulty in distinguishing actual cancer lesions from benign abnormalities, which results in unnecessary biopsy referrals. To overcome this issue, computer aided diagnosis (CADx) using machine learning techniques have been studied worldwide. Since this is a classification problem and the number of features obtainable from a mammogram image is infinite, a feature selection method that is tailored for use in the CADx systems is needed. Methods We propose a feature selection method based on multiple support vector machine recursive feature elimination (MSVM-RFE). We compared our method with four previously proposed feature selection methods which use support vector machine as the base classifier. Experiments were performed on lesions extracted from the Digital Database of Screening Mammography, the largest public digital mammography database available. We measured average accuracy over 5-fold cross validation on the 8 datasets we extracted. Results Selecting from 8 features, conventional algorithms like SVM-RFE and multiple SVM-RFE showed slightly better performance than others. However, when selecting from 22 features, our proposed modified multiple SVM-RFE using boosting outperformed or was at least competitive to all others. Conclusion Our modified method may be a possible alternative to SVM-RFE or the original MSVM-RFE in many cases of interest. In the future, we need a specific method to effectively combine models trained during the feature selection process and a way to combine feature subsets generated from individual SVM-RFE instances. PMID:19891795

  10. The Ohio Patient Navigation Research Program (OPNRP): Does the American Cancer Society patient navigation model improve time to resolution among patients with abnormal screening tests?

    PubMed Central

    Paskett, Electra D.; Katz, Mira L.; Post, Douglas M.; Pennell, Michael L.; Young, Gregory S.; Seiber, Eric E.; Harrop, J. Phil; DeGraffinreid, Cecilia R.; Tatum, Cathy M.; Dean, Julie A.; Murray, David M.

    2013-01-01

    Background Patient navigation (PN) has been suggested as a way to reduce cancer health disparities; however, many models of PN exist and most have not been carefully evaluated. The goal of this study was to test the Ohio American Cancer Society model of PN as it relates to reducing time to diagnostic resolution among persons with abnormal breast, cervical, or colorectal cancer screening tests or symptoms. Methods 862 patients from 18 clinics participated in this group-randomized trial. Chart review documented the date of the abnormality and the date of resolution. The primary analysis used shared frailty models to test for the effect of PN on time to resolution. Crude Hazard Ratios (HR)were used since there was no evidence of confounding. Costs were tracked with a 52-item instrument that recorded fixed costs of running a PN program and operational costs of navigating patients. Results HRs became significant at 6 months; conditional on the random clinic effect, the resolution rate at 15 months was 65% higher in the PN arm (p=0.012 for difference in risk across arms; p=0.009) for an increase in relative risk over time. The cost of navigating to diagnostic resolution averaged $150 per participant. Conclusions Participants with abnormal cancer screening tests or symptoms resolved faster if assigned to PN compared to those not assigned to PN. The effect of PN became apparent beginning six months after detection of the abnormality. Impact PN may help address health disparities by reducing time to resolution after an abnormal cancer screening test. PMID:23045536

  11. A new breast cancer risk analysis approach using features extracted from multiple sub-regions on bilateral mammograms

    NASA Astrophysics Data System (ADS)

    Sun, Wenqing; Tseng, Tzu-Liang B.; Zheng, Bin; Zhang, Jianying; Qian, Wei

    2015-03-01

    A novel breast cancer risk analysis approach is proposed for enhancing performance of computerized breast cancer risk analysis using bilateral mammograms. Based on the intensity of breast area, five different sub-regions were acquired from one mammogram, and bilateral features were extracted from every sub-region. Our dataset includes 180 bilateral mammograms from 180 women who underwent routine screening examinations, all interpreted as negative and not recalled by the radiologists during the original screening procedures. A computerized breast cancer risk analysis scheme using four image processing modules, including sub-region segmentation, bilateral feature extraction, feature selection, and classification was designed to detect and compute image feature asymmetry between the left and right breasts imaged on the mammograms. The highest computed area under the curve (AUC) is 0.763 ± 0.021 when applying the multiple sub-region features to our testing dataset. The positive predictive value and the negative predictive value were 0.60 and 0.73, respectively. The study demonstrates that (1) features extracted from multiple sub-regions can improve the performance of our scheme compared to using features from whole breast area only; (2) a classifier using asymmetry bilateral features can effectively predict breast cancer risk; (3) incorporating texture and morphological features with density features can boost the classification accuracy.

  12. The relationship of psychosocial factors to mammograms, physical activity, and fruit and vegetable consumption among sisters of breast cancer patients.

    PubMed

    Hartman, Sheri J; Dunsiger, Shira I; Jacobsen, Paul B

    2011-01-01

    This study examined the relationship of psychosocial factors to health-promoting behaviors in sisters of breast cancer patients. One hundred and twenty sisters of breast cancer patients completed questionnaires assessing response efficacy of mammography screenings, physical activity, and fruit and vegetable consumption on decreasing breast cancer risk, breast cancer worry, involvement in their sister's cancer care, mammography screenings, physical activity, and fruit and vegetable consumption. Results indicate that greater perceived effectiveness for mammograms was associated with a 67% increase in odds of yearly mammograms. Greater involvement in the patient's care was associated with a 7% decrease in odds of yearly mammograms. Greater perceived effectiveness for physical activity was significantly related to greater physical activity. There was a trend for greater perceived effectiveness for fruits and vegetables to be associated with consuming more fruits and vegetables. Breast cancer worry was not significantly associated with the outcomes. While perceived effectiveness for a specific health behavior in reducing breast cancer risk was consistently related to engaging in that health behavior, women reported significantly lower perceived effectiveness for physical activity and fruits and vegetables than for mammograms. Making women aware of the health benefits of these behaviors may be important in promoting changes.

  13. Vitamin D Intake, Month the Mammogram Was Taken and Mammographic Density in Norwegian Women Aged 50–69

    PubMed Central

    Ellingjord-Dale, Merete; dos-Santos-Silva, Isabel; Grotmol, Tom; Kaur Sakhi, Amrit; Hofvind, Solveig; Qureshi, Samera; Skov Markussen, Marianne; Couto, Elisabeth; Vos, Linda; Ursin, Giske

    2015-01-01

    Background The role of vitamin D in breast cancer etiology is unclear. There is some, but inconsistent, evidence that vitamin D is associated with both breast cancer risk and mammographic density (MD). We evaluated the associations of MD with month the mammogram was taken, and with vitamin D intake, in a population of women from Norway—a country with limited sunlight exposure for a large part of the year. Methods 3114 women aged 50–69, who participated in the Norwegian Breast Cancer Screening Program (NBCSP) in 2004 or 2006/07, completed risk factor and food frequency (FFQ) questionnaires. Dietary and total (dietary plus supplements) vitamin D, calcium and energy intakes were estimated by the FFQ. Month when the mammogram was taken was recorded on the mammogram. Percent MD was assessed using a computer assisted method (Madena, University of Southern California) after digitization of the films. Linear regression models were used to investigate percent MD associations with month the mammogram was taken, and vitamin D and calcium intakes, adjusting for age, body mass index (BMI), study year, estrogen and progestin therapy (EPT), education, parity, calcium intakes and energy intakes. Results There was no statistical significant association between the month the mammogram was taken and percent MD. Overall, there was no association between percent MD and quartiles of total or dietary vitamin D intakes, or of calcium intake. However, analysis restricted to women aged <55 years revealed a suggestive inverse association between total vitamin D intake and percent MD (p for trend = 0.03). Conclusion Overall, we found no strong evidence that month the mammogram was taken was associated with percent MD. We found no inverse association between vitamin D intake and percent MD overall, but observed a suggestive inverse association between dietary vitamin D and MD for women less than 55 years old. PMID:25938768

  14. Computer-aided detection of breast masses depicted on full-field digital mammograms: a performance assessment

    PubMed Central

    Zheng, B; Sumkin, J H; Zuley, M L; Lederman, D; Wang, X; Gur, D

    2012-01-01

    Objectives To investigate the feasibility of converting a computer–aided detection (CAD) scheme for digitised screen–film mammograms to full-field digital mammograms (FFDMs) and assessing CAD performance on a large database. Methods The database included 6478 FFDM images acquired on 1120 females, with 525 cancer cases and 595 negative cases. The database was divided into five case groups: (1) cancer detected during screening, (2) interval cancers, (3) “high-risk” recommended for surgical excision, (4) recalled but negative and (5) negative (not recalled). A previously developed CAD scheme for masses depicted on digitised images was converted and re-optimised for FFDM images while keeping the same image-processing structure. CAD performance was analysed on the entire database. Results The case-based sensitivity was 75.6% (397/525) for the current mammograms and 40.8% (42/103) for the prior mammograms deemed negative during clinical interpretation but “visible” during retrospective review. The region-based sensitivity was 58.1% (618/1064) for the current mammograms and 28.4% (57/201) for the prior mammograms. The CAD scheme marked 55.7% (221/397) and 35.7% (15/42) of the masses on both views of the current and the prior examinations, respectively. The overall CAD-cued false-positive rate was 0.32 per image, ranging from 0.29 to 0.51 for the five case groups. Conclusion This study indicated that (1) digitised image-based CAD can be converted for FFDMs while performing at a comparable, or better, level; (2) CAD detects a substantial fraction of cancers depicted on prior examinations, albeit most having been marked only on one view; and (3) CAD tends to mark more false-positive results on “difficult” negative cases that are more visually difficult for radiologists to interpret. PMID:21343322

  15. Mammogram CAD, hybrid registration and iconic analysis

    NASA Astrophysics Data System (ADS)

    Boucher, A.; Cloppet, F.; Vincent, N.

    2013-03-01

    This paper aims to develop a computer aided diagnosis (CAD) based on a two-step methodology to register and analyze pairs of temporal mammograms. The concept of "medical file", including all the previous medical information on a patient, enables joint analysis of different acquisitions taken at different times, and the detection of significant modifications. The developed registration method aims to superimpose at best the different anatomical structures of the breast. The registration is designed in order to get rid of deformation undergone by the acquisition process while preserving those due to breast changes indicative of malignancy. In order to reach this goal, a referent image is computed from control points based on anatomical features that are extracted automatically. Then the second image of the couple is realigned on the referent image, using a coarse-to-fine approach according to expert knowledge that allows both rigid and non-rigid transforms. The joint analysis detects the evolution between two images representing the same scene. In order to achieve this, it is important to know the registration error limits in order to adapt the observation scale. The approach used in this paper is based on an image sparse representation. Decomposed in regular patterns, the images are analyzed under a new angle. The evolution detection problem has many practical applications, especially in medical images. The CAD is evaluated using recall and precision of differences in mammograms.

  16. Simulation of mammograms and tomosynthesis imaging with cone beam breast CT images

    NASA Astrophysics Data System (ADS)

    Han, Tao; Shaw, Chris C.; Chen, Lingyun; Lai, Chao-jen; Liu, Xinming; Wang, Tianpeng

    2008-03-01

    The use of mammography techniques for the screening and diagnosis of breast cancers has been limited by the overlapping of cancer symptoms with normal tissue structures. To overcome this problem, two methods have been developed and actively investigated recently: digital tomosynthesis mammography and cone beam breast CT. Comparison study with these three techniques will be helpful to understand their difference and further might be supervise the direction of breast imaging. This paper describes and discusses about a technique using a general-purpose PC cluster to develop a parallel computer simulation model to simulate mammograms and tomosynthesis imaging with cone beam CT images of a mastectomy breast specimen. The breast model used in simulating mammography and tomosynthesis was developed by re-scaling the CT numbers of cone beam CT images from 80kVp to 20 kev. The compression of breast was simulated by deformation of the breast model. Re-projection software with parallel computation was developed and used to compute projection images of this simulated compressed breast for a stationary detector and a linearly shifted x-ray source. The resulting images were then used to reconstruct tomosynthesis mammograms using shift-and-add algorithms. It was found that MCs in cone beam CT images were not visible in regular mammograms but faintly visible in tomosynthesis images. The scatter signal and noise property needs to be simulated and incorporated in the future.

  17. Increasing cancer detection yield of breast MRI using a new CAD scheme of mammograms

    NASA Astrophysics Data System (ADS)

    Tan, Maxine; Aghaei, Faranak; Hollingsworth, Alan B.; Stough, Rebecca G.; Liu, Hong; Zheng, Bin

    2016-03-01

    Although breast MRI is the most sensitive imaging modality to detect early breast cancer, its cancer detection yield in breast cancer screening is quite low (< 3 to 4% even for the small group of high-risk women) to date. The purpose of this preliminary study is to test the potential of developing and applying a new computer-aided detection (CAD) scheme of digital mammograms to identify women at high risk of harboring mammography-occult breast cancers, which can be detected by breast MRI. For this purpose, we retrospectively assembled a dataset involving 30 women who had both mammography and breast MRI screening examinations. All mammograms were interpreted as negative, while 5 cancers were detected using breast MRI. We developed a CAD scheme of mammograms, which include a new quantitative mammographic image feature analysis based risk model, to stratify women into two groups with high and low risk of harboring mammography-occult cancer. Among 30 women, 9 were classified into the high risk group by CAD scheme, which included all 5 women who had cancer detected by breast MRI. All 21 low risk women remained negative on the breast MRI examinations. The cancer detection yield of breast MRI applying to this dataset substantially increased from 16.7% (5/30) to 55.6% (5/9), while eliminating 84% (21/25) unnecessary breast MRI screenings. The study demonstrated the potential of applying a new CAD scheme to significantly increase cancer detection yield of breast MRI, while simultaneously reducing the number of negative MRIs in breast cancer screening.

  18. Evaluation of hybrids algorithms for mass detection in digitalized mammograms

    NASA Astrophysics Data System (ADS)

    Cordero, José; Garzón Reyes, Johnson

    2011-01-01

    The breast cancer remains being a significant public health problem, the early detection of the lesions can increase the success possibilities of the medical treatments. The mammography is an image modality effective to early diagnosis of abnormalities, where the medical image is obtained of the mammary gland with X-rays of low radiation, this allows detect a tumor or circumscribed mass between two to three years before that it was clinically palpable, and is the only method that until now achieved reducing the mortality by breast cancer. In this paper three hybrids algorithms for circumscribed mass detection on digitalized mammograms are evaluated. In the first stage correspond to a review of the enhancement and segmentation techniques used in the processing of the mammographic images. After a shape filtering was applied to the resulting regions. By mean of a Bayesian filter the survivors regions were processed, where the characteristics vector for the classifier was constructed with few measurements. Later, the implemented algorithms were evaluated by ROC curves, where 40 images were taken for the test, 20 normal images and 20 images with circumscribed lesions. Finally, the advantages and disadvantages in the correct detection of a lesion of every algorithm are discussed.

  19. Screening of sarcomere gene mutations in young athletes with abnormal findings in electrocardiography: identification of a MYH7 mutation and MYBPC3 mutations.

    PubMed

    Kadota, Chika; Arimura, Takuro; Hayashi, Takeharu; Naruse, Taeko K; Kawai, Sachio; Kimura, Akinori

    2015-10-01

    There is an overlap between the physiological cardiac remodeling associated with training in athletes, the so-called athlete's heart, and mild forms of hypertrophic cardiomyopathy (HCM), the most common hereditary cardiac disease. HCM is often accompanied by unfavorable outcomes including a sudden cardiac death in the adolescents. Because one of the initial signs of HCM is abnormality in electrocardiogram (ECG), athletes may need to monitor for ECG findings to prevent any unfavorable outcomes. HCM is caused by mutations in genes for sarcomere proteins, but there is no report on the systematic screening of gene mutations in athletes. One hundred and two genetically unrelated young Japanese athletes with abnormal ECG findings were the subjects for the analysis of four sarcomere genes, MYH7, MYBPC3, TNNT2 and TNNI3. We found that 5 out of 102 (4.9%) athletes carried mutations: a heterozygous MYH7 Glu935Lys mutation, a heterozygous MYBPC3 Arg160Trp mutation and another heterozygous MYBPC3 Thr1046Met mutation, all of which had been reported as HCM-associated mutations, in 1, 2 and 2 subjects, respectively. This is the first study of systematic screening of sarcomere gene mutations in a cohort of athletes with abnormal ECG, demonstrating the presence of sarcomere gene mutations in the athlete's heart.

  20. Possibility to predict early postpartum glucose abnormality following gestational diabetes mellitus based on the results of routine mid-gestational screening

    PubMed Central

    Bartáková, Vendula; Malúšková, Denisa; Mužík, Jan; Bělobrádková, Jana; Kaňková, Kateřina

    2015-01-01

    Introduction Women with previous gestational diabetes mellitus (GDM) have increased risk of developing glucose abnormality, but current diagnostic criteria are evidence-based for adverse pregnancy outcome. The aims of our study were: (i) to ascertain a frequency of early conversion of GDM into permanent glucose abnormality, (ii) to determine predictive potential of current GDM diagnostic criteria for prediction of postpartum glucose abnormality and (iii) to find optimal cut-off values of oral glucose tolerance test (oGTT) to stratify GDM population according to postpartum risk. Materials and methods Electronic medical records of an ethnically homogenous cohort of women diagnosed and treated for GDM in a single medical centre during the period 2005–2011 who completed postpartum oGTT up to 1 year after the index delivery were retrospectively analysed (N = 305). Results Postpartum glucose abnormality was detected in 16.7% subjects. Mid-trimester oGTT values, respective area under the curve and HbA1c were significantly associated with early postpartum glucose abnormality (P < 0.05, Mann-Whitney) and exhibited significant predictive potential for postpartum glucose abnormality risk assessment. Optimal cut-off values for discrimination of at-risk sub-population were identified using ROC analysis and their comparison with WHO and IADPSG criteria exhibited superiority of IADPSG for risk-stratification of GDM population. Conclusion Risk-based stratification at the time of GDM diagnosis could improve efficiency of the post-gestational screening for diabetes. IADPSG criteria seem to optimally capture both perinatal and maternal metabolic risks and are therefore medically and economically justified. PMID:26526166

  1. Improved Classification of Mammograms Following Idealized Training.

    PubMed

    Hornsby, Adam N; Love, Bradley C

    2014-06-01

    People often make decisions by stochastically retrieving a small set of relevant memories. This limited retrieval implies that human performance can be improved by training on idealized category distributions (Giguère & Love, 2013). Here, we evaluate whether the benefits of idealized training extend to categorization of real-world stimuli, namely classifying mammograms as normal or tumorous. Participants in the idealized condition were trained exclusively on items that, according to a norming study, were relatively unambiguous. Participants in the actual condition were trained on a representative range of items. Despite being exclusively trained on easy items, idealized-condition participants were more accurate than those in the actual condition when tested on a range of item types. However, idealized participants experienced difficulties when test items were very dissimilar from training cases. The benefits of idealization, attributable to reducing noise arising from cognitive limitations in memory retrieval, suggest ways to improve real-world decision making. PMID:24955325

  2. Assessing the Risk of Ovarian Malignancy in Asymptomatic Women With Abnormal CA 125 and Transvaginal Ultrasound in the Prostate, Lung, Colorectal, and Ovarian Screening Trial

    PubMed Central

    Partridge, Edward E.; Greenlee, Robert T.; Riley, Thomas L.; Commins, John; Ragard, Lawrence; Xu, Jian-Lun; Buys, Saundra S.; Prorok, Philip C.; Fouad, Mona N.

    2012-01-01

    Objective To estimate the risk of ovarian malignancy among asymptomatic women with abnormal transvaginal ultrasound or CA 125 and to provide guidance to physicians managing these women. Methods A cohort of women from the Prostate, Lung, Colorectal, and Ovarian Cancer Screening Trial with abnormal ovarian results at the initial (T0) and subsequent (T1+) screens were analyzed to estimate which findings were associated with high risk of ovarian cancer. Risks of cancer of greater than 10% were designated as high and risks of 3% or less as low. Results For the T0 screen, two high-risk categories were identified: CA 125 of 70 or more with negative transvaginal ultrasound (positive predictive value [PPV] 15.9%, CI 14.7%–17.7%); and positive for both CA 125 and transvaginal ultrasound (PPV 25.0%, CI 23.3%–27.3%). For T1+ screens, three high-risk categories were identified: negative transvaginal ultrasound with change in CA 125 greater than 45 or more (PPV 29.0%, CI 28.3%–30.3%); increase in size of cyst 6 cm or greater with negative CA 125 (PPV 13.3%, CI 10.5%–18.0%); and positive for both tests (PPV 42.9%, CI 40.0%–46.0%). High-risk criteria for T0 provide a sensitivity of 60%, specificity 96.2%, PPV 19.7%, and a negative predictive value (NPV) of 99.3%. T1+ criteria yielded a sensitivity of 85.3%, specificity 95.6%, PPV 29.6% and NPV 99.7%. Conclusions High risk categories for predicting risk of cancer in women with abnormal CA 125, TVU or both at initial and subsequent screens have been identified. The large number of women in this study, the four year complete follow-up, and very small number of invasive cancers in the low risk categories provides guidance for clinical decisions regarding need for surgery in these women. PMID:23262924

  3. Automated analysis for microcalcifications in high resolution digital mammograms

    SciTech Connect

    Mascio, L.N.; Hernandez, J.M.; Logan, C.M.

    1993-01-01

    Digital mammography offers the promise of significant advances in early detection of breast cancer. Our overall goal is to design a digital system which improves upon every aspect of current mammography technology: the x-ray source, detector, visual presentation of the mammogram and computer-aided diagnosis capabilities. This paper will discuss one part of our whole-system approach -- the development of a computer algorithm using gray-scale morphology to automatically analyze and flag microcalcifications in digital mammograms in hopes of reducing the current percentage of false-negative diagnoses, which is estimated at 20%. The mammograms used for developing this ``mammographers assistant`` are film mammograms which we have digitized at either 70 {mu}m or 35 {mu}m per pixel resolution with 4096 (12 bits) of gray level per pixel. For each potential microcalcification detected in these images, we compute a number of features in order to distinguish between the different kinds of objects detected.

  4. Microcalcifications Detected as an Abnormality on Screening Mammography: Outcomes and Followup over a Five-Year Period.

    PubMed

    Craft, Melissa; Bicknell, Anne M; Hazan, Georges J; Flegg, Karen M

    2013-01-01

    Objectives. This study reviewed the outcome of women attending a breast screening program recalled for assessment of microcalcifications and examined the incidence of a breast carcinoma detected during the following five years in any of the women who were given a benign diagnosis at assessment. Method. A retrospective study consisted of 235 clients attending an Australian BreastScreen program in 2003, who were recalled for investigation of microcalcifications detected on screening mammography. Records for the following five years were available for 168 women in the benign outcome group including those who did not require biopsy at initial assessment. Results. Malignant disease was detected in 26.0% (n = 146) of the women who underwent biopsy. None of the women in the benign outcome group, with available five-year follow-up records, developed a subsequent breast cancer, arising from the calcifications initially recalled in 2003. Conclusions. This study highlights the effectiveness of an Australian screening program in diagnosing malignancy in women with screen detected microcalcification. This has been achieved by correctly determining 38% (n = 235) of the women as benign without the need for biopsy or early recall. A low rate of open surgical biopsies was performed with no cancer diagnoses missed at the time of initial assessment. PMID:24194985

  5. Microcalcifications Detected as an Abnormality on Screening Mammography: Outcomes and Followup over a Five-Year Period

    PubMed Central

    Bicknell, Anne M.; Hazan, Georges J.; Flegg, Karen M.

    2013-01-01

    Objectives. This study reviewed the outcome of women attending a breast screening program recalled for assessment of microcalcifications and examined the incidence of a breast carcinoma detected during the following five years in any of the women who were given a benign diagnosis at assessment. Method. A retrospective study consisted of 235 clients attending an Australian BreastScreen program in 2003, who were recalled for investigation of microcalcifications detected on screening mammography. Records for the following five years were available for 168 women in the benign outcome group including those who did not require biopsy at initial assessment. Results. Malignant disease was detected in 26.0% (n = 146) of the women who underwent biopsy. None of the women in the benign outcome group, with available five-year follow-up records, developed a subsequent breast cancer, arising from the calcifications initially recalled in 2003. Conclusions. This study highlights the effectiveness of an Australian screening program in diagnosing malignancy in women with screen detected microcalcification. This has been achieved by correctly determining 38% (n = 235) of the women as benign without the need for biopsy or early recall. A low rate of open surgical biopsies was performed with no cancer diagnoses missed at the time of initial assessment. PMID:24194985

  6. STEAM - Statistical Template Estimation for Abnormality Mapping: A personalized DTI analysis technique with applications to the screening of preterm infants.

    PubMed

    Booth, Brian G; Miller, Steven P; Brown, Colin J; Poskitt, Kenneth J; Chau, Vann; Grunau, Ruth E; Synnes, Anne R; Hamarneh, Ghassan

    2016-01-15

    We introduce the STEAM DTI analysis engine: a whole brain voxel-based analysis technique for the examination of diffusion tensor images (DTIs). Our STEAM analysis technique consists of two parts. First, we introduce a collection of statistical templates that represent the distribution of DTIs for a normative population. These templates include various diffusion measures from the full tensor, to fractional anisotropy, to 12 other tensor features. Second, we propose a voxel-based analysis (VBA) pipeline that is reliable enough to identify areas in individual DTI scans that differ significantly from the normative group represented in the STEAM statistical templates. We identify and justify choices in the VBA pipeline relating to multiple comparison correction, image smoothing, and dealing with non-normally distributed data. Finally, we provide a proof of concept for the utility of STEAM on a cohort of 134 very preterm infants. We generated templates from scans of 55 very preterm infants whose T1 MRI scans show no abnormalities and who have normal neurodevelopmental outcome. The remaining 79 infants were then compared to the templates using our VBA technique. We show: (a) that our statistical templates display the white matter development expected over the modeled time period, and (b) that our VBA results detect abnormalities in the diffusion measurements that relate significantly with both the presence of white matter lesions and with neurodevelopmental outcomes at 18months. Most notably, we show that STEAM produces personalized results while also being able to highlight abnormalities across the whole brain and at the scale of individual voxels. While we show the value of STEAM on DTI scans from a preterm infant cohort, STEAM can be equally applied to other cohorts as well. To facilitate this whole-brain personalized DTI analysis, we made STEAM publicly available at http://www.sfu.ca/bgb2/steam. PMID:26515903

  7. STEAM - Statistical Template Estimation for Abnormality Mapping: A personalized DTI analysis technique with applications to the screening of preterm infants.

    PubMed

    Booth, Brian G; Miller, Steven P; Brown, Colin J; Poskitt, Kenneth J; Chau, Vann; Grunau, Ruth E; Synnes, Anne R; Hamarneh, Ghassan

    2016-01-15

    We introduce the STEAM DTI analysis engine: a whole brain voxel-based analysis technique for the examination of diffusion tensor images (DTIs). Our STEAM analysis technique consists of two parts. First, we introduce a collection of statistical templates that represent the distribution of DTIs for a normative population. These templates include various diffusion measures from the full tensor, to fractional anisotropy, to 12 other tensor features. Second, we propose a voxel-based analysis (VBA) pipeline that is reliable enough to identify areas in individual DTI scans that differ significantly from the normative group represented in the STEAM statistical templates. We identify and justify choices in the VBA pipeline relating to multiple comparison correction, image smoothing, and dealing with non-normally distributed data. Finally, we provide a proof of concept for the utility of STEAM on a cohort of 134 very preterm infants. We generated templates from scans of 55 very preterm infants whose T1 MRI scans show no abnormalities and who have normal neurodevelopmental outcome. The remaining 79 infants were then compared to the templates using our VBA technique. We show: (a) that our statistical templates display the white matter development expected over the modeled time period, and (b) that our VBA results detect abnormalities in the diffusion measurements that relate significantly with both the presence of white matter lesions and with neurodevelopmental outcomes at 18months. Most notably, we show that STEAM produces personalized results while also being able to highlight abnormalities across the whole brain and at the scale of individual voxels. While we show the value of STEAM on DTI scans from a preterm infant cohort, STEAM can be equally applied to other cohorts as well. To facilitate this whole-brain personalized DTI analysis, we made STEAM publicly available at http://www.sfu.ca/bgb2/steam.

  8. Morphological Enhancement of Microcalcifications in Digital Mammograms

    NASA Astrophysics Data System (ADS)

    Jagannath, H. S.; Virmani, J.; Kumar, V.

    2012-09-01

    Mammography is a commonly used technique for early detection of breast cancer. In mammograms, microcalcifications show low contrast margin with the background parenchymal tissue (specifically when the background tissue type is fibroglandular) as a result, subjective analysis of these calcifications with respect to their size, shape and morphology presents a daunting challenge even for experienced radiologists. Thus the present work investigates the potential of two morphological techniques i.e., top-hat morphological processing and h-dome morphological processing for enhancement of microcalcifications embedded in variety of background tissue types including fatty, glandular and fibroglandular tissues while restoring their shape and size. The enhancement results are also compared with standard contrast limited adaptive histogram equalization method. For subjective analysis, 25 synthetic images with simulated microcalcifications of various shapes and sizes are used. Objective analysis is carried out on 50 mammographic images taken from benchmark dataset (McGill University mammographic database) by computing quantitative indices like contrast improvement ratio and detail variance/background variance ratios. After rigorous experimentation on both synthetic and benchmark data set it was observed that h-dome morphological processing (with h = 60) is ideally suited for enhancement of microcalcifications while restoring their shape and size.

  9. [Estimated mammogram coverage in Goiás State, Brazil].

    PubMed

    Corrêa, Rosangela da Silveira; Freitas-Júnior, Ruffo; Peixoto, João Emílio; Rodrigues, Danielle Cristina Netto; Lemos, Maria Eugênia da Fonseca; Marins, Lucy Aparecida Parreira; Silveira, Erika Aparecida da

    2011-09-01

    This cross-sectional study aimed to estimate mammogram coverage in the State of Goiás, Brazil, describing the supply, demand, and variations in different age groups, evaluating 98 mammography services as observational units. We estimated the mammogram rates by age group and type of health service, as well as the number of tests required to cover 70% and 100% of the target population. We assessed the association between mammograms, geographical distribution of mammography machines, type of service, and age group. Full coverage estimates, considering 100% of women in the 40-69 and 50-69-year age brackets, were 61% and 66%, of which the Brazilian Unified National Health System provided 13% and 14%, respectively. To achieve 70% coverage, 43,424 additional mammograms would be needed. All the associations showed statistically significant differences (p < 0.001). We conclude that mammogram coverage is unevenly distributed in the State of Goiás and that fewer tests are performed than required. PMID:21986603

  10. Mammogram retrieval through machine learning within BI-RADS standards.

    PubMed

    Wei, Chia-Hung; Li, Yue; Huang, Pai Jung

    2011-08-01

    A content-based mammogram retrieval system can support usual comparisons made on images by physicians, answering similarity queries over images stored in the database. The importance of searching for similar mammograms lies in the fact that physicians usually try to recall similar cases by seeking images that are pathologically similar to a given image. This paper presents a content-based mammogram retrieval system, which employs a query example to search for similar mammograms in the database. In this system the mammographic lesions are interpreted based on their medical characteristics specified in the Breast Imaging Reporting and Data System (BI-RADS) standards. A hierarchical similarity measurement scheme based on a distance weighting function is proposed to model user's perception and maximizes the effectiveness of each feature in a mammographic descriptor. A machine learning approach based on support vector machines and user's relevance feedback is also proposed to analyze the user's information need in order to retrieve target images more accurately. Experimental results demonstrate that the proposed machine learning approach with Radial Basis Function (RBF) kernel function achieves the best performance among all tested ones. Furthermore, the results also show that the proposed learning approach can improve retrieval performance when applied to retrieve mammograms with similar mass and calcification lesions, respectively. PMID:21277387

  11. Automated registration of diagnostic to prediagnostic x-ray mammograms: Evaluation and comparison to radiologists' accuracy

    SciTech Connect

    Pinto Pereira, Snehal M.; Hipwell, John H.; McCormack, Valerie A.; Tanner, Christine; Moss, Sue M.; Wilkinson, Louise S.; Khoo, Lisanne A. L.; Pagliari, Catriona; Skippage, Pippa L.; Kliger, Carole J.; Hawkes, David J.; Santos Silva, Isabel M. dos

    2010-09-15

    Purpose: To compare and evaluate intensity-based registration methods for computation of serial x-ray mammogram correspondence. Methods: X-ray mammograms were simulated from MRIs of 20 women using finite element methods for modeling breast compressions and employing a MRI/x-ray appearance change model. The parameter configurations of three registration methods, affine, fluid, and free-form deformation (FFD), were optimized for registering x-ray mammograms on these simulated images. Five mammography film readers independently identified landmarks (tumor, nipple, and usually two other normal features) on pairs of diagnostic and corresponding prediagnostic digitized images from 52 breast cancer cases. Landmarks were independently reidentified by each reader. Target registration errors were calculated to compare the three registration methods using the reader landmarks as a gold standard. Data were analyzed using multilevel methods. Results: Between-reader variability varied with landmark (p<0.01) and screen (p=0.03), with between-reader mean distance (mm) in point location on the diagnostic/prediagnostic images of 2.50 (95% CI 1.95, 3.15)/2.84 (2.24, 3.55) for nipples and 4.26 (3.43, 5.24)/4.76 (3.85, 5.84) for tumors. Registration accuracy was sensitive to the type of landmark and the amount of breast density. For dense breasts ({>=}40%), the affine and fluid methods outperformed FFD. For breasts with lower density, the affine registration surpassed both fluid and FFD. Mean accuracy (mm) of the affine registration varied between 3.16 (95% CI 2.56, 3.90) for nipple points in breasts with density 20%-39% and 5.73 (4.80, 6.84) for tumor points in breasts with density <20%. Conclusions: Affine registration accuracy was comparable to that between independent film readers. More advanced two-dimensional nonrigid registration algorithms were incapable of increasing the accuracy of image alignment when compared to affine registration.

  12. Multi-view score fusion for content-based mammogram retrieval

    NASA Astrophysics Data System (ADS)

    Dhahbi, Sami; Barhoumi, Walid; Zagrouba, Ezzeddine

    2015-12-01

    Screening mammography provides two views for each breast: Medio-Lateral Oblique (MLO) and Cranial-Caudal (CC) views. However, current content based image retrieval (CBIR) systems analyze each view independently, in spite of their complementarities. To further improve the retrieval performance, this paper introduces a two-view CBIR system that combines retrieval results of MLO and CC views. First, we computed the similarity scores between MLO (resp. CC) ROIs in the database and the MLO (resp. CC) query ROI. These ROIs are characterized using curvelet moments. Then, a new linear weighted sum scheme combines MLO and CC scores; it assigns weights for each view according to the distribution of the classes of its neighbors. The ROIs having the highest fused scores are displayed to the radiologist and used to compute the malignancy likelihood of the lesion. Experiments performed on mammograms from the Digital Database for Screening Mammography (DDSM) show the effectiveness of the proposed method.

  13. Automated analysis for microcalcifications in high resolution digital mammograms

    SciTech Connect

    Mascio, L.N.; Hernandez, J.M.; Logan, C.M.

    1994-10-01

    Digital mammography offers the promise of significant advances in early detection of breast cancer. Our overall goal is to design a digital system which improves upon every aspect of current mammography technology: the x-ray source, detector, visual presentation of the mammogram and computer-aided diagnosis capabilities. This paper will discuss one part of our whole-system approach -- the development of a computer algorithm using gray-scale morphology to automatically analyze and flag microcalcifications in digital mammograms in hopes of reducing the current percentage of false-negative diagnoses, which is estimated at 20%. The mamrnograms used for developing this ``mammographers assistant`` are film mammograms which we have digitized at either 70{mu}m or 35{mu}m per pixel resolution with 4096(12 bits) of gray level per pixel. For each potential microcalcification detected. in these images, we compute a number of features in order to distinguish between the different kinds of objects detected.

  14. A new approach to develop computer-aided detection schemes of digital mammograms

    NASA Astrophysics Data System (ADS)

    Tan, Maxine; Qian, Wei; Pu, Jiantao; Liu, Hong; Zheng, Bin

    2015-06-01

    The purpose of this study is to develop a new global mammographic image feature analysis based computer-aided detection (CAD) scheme and evaluate its performance in detecting positive screening mammography examinations. A dataset that includes images acquired from 1896 full-field digital mammography (FFDM) screening examinations was used in this study. Among them, 812 cases were positive for cancer and 1084 were negative or benign. After segmenting the breast area, a computerized scheme was applied to compute 92 global mammographic tissue density based features on each of four mammograms of the craniocaudal (CC) and mediolateral oblique (MLO) views. After adding three existing popular risk factors (woman’s age, subjectively rated mammographic density, and family breast cancer history) into the initial feature pool, we applied a sequential forward floating selection feature selection algorithm to select relevant features from the bilateral CC and MLO view images separately. The selected CC and MLO view image features were used to train two artificial neural networks (ANNs). The results were then fused by a third ANN to build a two-stage classifier to predict the likelihood of the FFDM screening examination being positive. CAD performance was tested using a ten-fold cross-validation method. The computed area under the receiver operating characteristic curve was AUC = 0.779   ±   0.025 and the odds ratio monotonically increased from 1 to 31.55 as CAD-generated detection scores increased. The study demonstrated that this new global image feature based CAD scheme had a relatively higher discriminatory power to cue the FFDM examinations with high risk of being positive, which may provide a new CAD-cueing method to assist radiologists in reading and interpreting screening mammograms.

  15. A new approach to develop computer-aided detection schemes of digital mammograms

    PubMed Central

    Tan, Maxine; Qian, Wei; Pu, Jiantao; Liu, Hong; Zheng, Bin

    2015-01-01

    The purpose of this study is to develop a new global mammographic image feature analysis based computer-aided detection (CAD) scheme and evaluate its performance in detecting positive screening mammography examinations. A dataset that includes images acquired from 1896 full-field digital mammography (FFDM) screening examinations was used in this study. Among them, 812 cases were positive for cancer and 1084 were negative or benign. After segmenting the breast area, a computerized scheme was applied to compute 92 global mammographic tissue density based features on each of four mammograms of the craniocaudal (CC) and mediolateral oblique (MLO) views. After adding three existing popular risk factors (woman’s age, subjectively rated mammographic density, and family breast cancer history) into the initial feature pool, we applied a Sequential Forward Floating Selection (SFFS) feature selection algorithm to select relevant features from the bilateral CC and MLO view images separately. The selected CC and MLO view image features were used to train two artificial neural networks (ANNs). The results were then fused by a third ANN to build a two-stage classifier to predict the likelihood of the FFDM screening examination being positive. CAD performance was tested using a ten-fold cross-validation method. The computed area under the receiver operating characteristic curve was AUC=0.779±0.025 and the odds ratio monotonically increased from 1 to 31.55 as CAD-generated detection scores increased. The study demonstrated that this new global image feature based CAD scheme had a relatively higher discriminatory power to cue the FFDM examinations with high risk of being positive, which may provide a new CAD-cueing method to assist radiologists in reading and interpreting screening mammograms. PMID:25984710

  16. Automatic correspondence detection in mammogram and breast tomosynthesis images

    NASA Astrophysics Data System (ADS)

    Ehrhardt, Jan; Krüger, Julia; Bischof, Arpad; Barkhausen, Jörg; Handels, Heinz

    2012-02-01

    Two-dimensional mammography is the major imaging modality in breast cancer detection. A disadvantage of mammography is the projective nature of this imaging technique. Tomosynthesis is an attractive modality with the potential to combine the high contrast and high resolution of digital mammography with the advantages of 3D imaging. In order to facilitate diagnostics and treatment in the current clinical work-flow, correspondences between tomosynthesis images and previous mammographic exams of the same women have to be determined. In this paper, we propose a method to detect correspondences in 2D mammograms and 3D tomosynthesis images automatically. In general, this 2D/3D correspondence problem is ill-posed, because a point in the 2D mammogram corresponds to a line in the 3D tomosynthesis image. The goal of our method is to detect the "most probable" 3D position in the tomosynthesis images corresponding to a selected point in the 2D mammogram. We present two alternative approaches to solve this 2D/3D correspondence problem: a 2D/3D registration method and a 2D/2D mapping between mammogram and tomosynthesis projection images with a following back projection. The advantages and limitations of both approaches are discussed and the performance of the methods is evaluated qualitatively and quantitatively using a software phantom and clinical breast image data. Although the proposed 2D/3D registration method can compensate for moderate breast deformations caused by different breast compressions, this approach is not suitable for clinical tomosynthesis data due to the limited resolution and blurring effects perpendicular to the direction of projection. The quantitative results show that the proposed 2D/2D mapping method is capable of detecting corresponding positions in mammograms and tomosynthesis images automatically for 61 out of 65 landmarks. The proposed method can facilitate diagnosis, visual inspection and comparison of 2D mammograms and 3D tomosynthesis images for

  17. Evaluating a Bilingual Patient Navigation Program for Uninsured Women With Abnormal Screening Tests for Breast and Cervical Cancer: Implications for Future Navigator Research

    PubMed Central

    Tom, Laura S.; Nonzee, Narissa J.; Murphy, Kara R.; Endress, Richard; Dong, XinQi; Feinglass, Joe

    2015-01-01

    Objectives. The DuPage Patient Navigation Collaborative evaluated the Patient Navigation Research Program (PNRP) model for uninsured women receiving free breast or cervical cancer screening through the Illinois Breast and Cervical Cancer Program in DuPage County, Illinois. Methods. We used medical records review and patient surveys of 477 women to compare median follow-up times with external Illinois Breast and Cervical Cancer Program and Chicago PNRP benchmarks of performance. We examined the extent to which we mitigated community-defined timeliness risk factors for delayed follow-up, with a focus on Spanish-speaking participants. Results. Median follow-up time (29.0 days for breast and 56.5 days for cervical screening abnormalities) compared favorably to external benchmarks. Spanish-speaking patients had lower health literacy, lower patient activation, and more health care system distrust than did English-speaking patients, but despite the prevalence of timeliness risk factors, we observed no differences in likelihood of delayed (> 60 days) follow-up by language. Conclusions. Our successful replication and scaling of the PNRP navigation model to DuPage County illustrates a promising approach for future navigator research. PMID:25713942

  18. Consistent performance measurement of a system to detect masses in mammograms based on blind feature extraction

    PubMed Central

    2013-01-01

    Background Breast cancer continues to be a leading cause of cancer deaths among women, especially in Western countries. In the last two decades, many methods have been proposed to achieve a robust mammography‐based computer aided detection (CAD) system. A CAD system should provide high performance over time and in different clinical situations. I.e., the system should be adaptable to different clinical situations and should provide consistent performance. Methods We tested our system seeking a measure of the guarantee of its consistent performance. The method is based on blind feature extraction by independent component analysis (ICA) and classification by neural networks (NN) or SVM classifiers. The test mammograms were from the Digital Database for Screening Mammography (DDSM). This database was constructed collaboratively by four institutions over more than 10 years. We took advantage of this to train our system using the mammograms from each institution separately, and then testing it on the remaining mammograms. We performed another experiment to compare the results and thus obtain the measure sought. This experiment consists in to form the learning sets with all available prototypes regardless of the institution in which them were generated, obtaining in that way the overall results. Results The smallest variation from comparing the results of the testing set in each experiment (performed by training the system using the mammograms from one institution and testing with the remaining) with those of the overall result, considering the success rate for an intermediate decision maker threshold, was roughly 5%, and the largest variation was roughly 17%. But, if we considere the area under ROC curve, the smallest variation was close to 4%, and the largest variation was about a 6%. Conclusions Considering the heterogeneity in the datasets used to train and test our system in each case, we think that the variation of performance obtained when the results are

  19. Estimation of the breast skin-line in mammograms using multidirectional Gabor filters.

    PubMed

    Casti, P; Mencattini, A; Salmeri, M; Ancona, A; Mangeri, F; Pepe, M L; Rangayyan, R M

    2013-11-01

    Segmentation of the breast region is a fundamental step in any system for computerized analysis of mammograms. In this work, we propose a novel procedure for the estimation of the breast skin-line based upon multidirectional Gabor filtering. The method includes an adaptive values-of-interest (VOI) transformation, extraction of the skin-air ribbon by Otsu's thresholding method and the Euclidean distance transform, Gabor filtering with 18 real kernels, and a step for suppression of false edge points using the magnitude and phase responses of the filters. On a test set of 361 images from different acquisition modalities (screen-film and full-field digital mammograms), the average Hausdorff and polyline distances obtained were 2.85 mm and 0.84 mm, respectively, with reference to the ground-truth boundaries provided by an expert radiologist. When compared with the results obtained by other state-of-the-art methods on the same set of images and with respect to the same ground-truth boundaries, our method mostly outperformed the other approaches. The results demonstrate the effectiveness and robustness of the proposed algorithm.

  20. Estimation of the breast skin-line in mammograms using multidirectional Gabor filters.

    PubMed

    Casti, P; Mencattini, A; Salmeri, M; Ancona, A; Mangeri, F; Pepe, M L; Rangayyan, R M

    2013-11-01

    Segmentation of the breast region is a fundamental step in any system for computerized analysis of mammograms. In this work, we propose a novel procedure for the estimation of the breast skin-line based upon multidirectional Gabor filtering. The method includes an adaptive values-of-interest (VOI) transformation, extraction of the skin-air ribbon by Otsu's thresholding method and the Euclidean distance transform, Gabor filtering with 18 real kernels, and a step for suppression of false edge points using the magnitude and phase responses of the filters. On a test set of 361 images from different acquisition modalities (screen-film and full-field digital mammograms), the average Hausdorff and polyline distances obtained were 2.85 mm and 0.84 mm, respectively, with reference to the ground-truth boundaries provided by an expert radiologist. When compared with the results obtained by other state-of-the-art methods on the same set of images and with respect to the same ground-truth boundaries, our method mostly outperformed the other approaches. The results demonstrate the effectiveness and robustness of the proposed algorithm. PMID:24209932

  1. Automated Diagnosis of Mammogram Images of Breast Cancer Using Discrete Wavelet Transform and Spherical Wavelet Transform Features

    PubMed Central

    Ganesan, Karthikeyan; Acharya, U. Rajendra; Chua, Chua Kuang; Min, Lim Choo; Abraham, Thomas K.

    2014-01-01

    Mammograms are one of the most widely used techniques for preliminary screening of breast cancers. There is great demand for early detection and diagnosis of breast cancer using mammograms. Texture based feature extraction techniques are widely used for mammographic image analysis. In specific, wavelets are a popular choice for texture analysis of these images. Though discrete wavelets have been used extensively for this purpose, spherical wavelets have rarely been used for Computer-Aided Diagnosis (CAD) of breast cancer using mammograms. In this work, a comparison of the performance between the features of Discrete Wavelet Transform (DWT) and Spherical Wavelet Transform (SWT) based on the classification results of normal, benign and malignant stage was studied. Classification was performed using Linear Discriminant Classifier (LDC), Quadratic Discriminant Classifier (QDC), Nearest Mean Classifier (NMC), Support Vector Machines (SVM) and Parzen Classifier (ParzenC). We have obtained a maximum classification accuracy of 81.73% for DWT and 88.80% for SWT features using SVM classifier. PMID:24000991

  2. A scalable computer-aided detection system for microcalcification cluster identification in a pan-European distributed database of mammograms

    NASA Astrophysics Data System (ADS)

    Retico, A.; Delogu, P.; Fantacci, M. E.; Preite Martinez, A.; Stefanini, A.; Tata, A.

    2006-12-01

    A computer-aided detection (CADe) system for microcalcification cluster identification in mammograms has been developed in the framework of the EU-founded MammoGrid project. The CADe software is mainly based on wavelet transforms and artificial neural networks. It is able to identify microcalcifications in different kinds of mammograms (i.e. acquired with different machines and settings, digitized with different pitch and bit depth or direct digital ones). The CADe can be remotely run from GRID-connected acquisition and annotation stations, supporting clinicians from geographically distant locations in the interpretation of mammographic data. We report the FROC analyses of the CADe system performances on three different dataset of mammograms, i.e. images of the CALMA INFN-founded database collected in the Italian National screening program, the MIAS database and the so-far collected MammoGrid images. The sensitivity values of 88% at a rate of 2.15 false positive findings per image (FP/im), 88% with 2.18 FP/im and 87% with 5.7 FP/im have been obtained on the CALMA, MIAS and MammoGrid database, respectively.

  3. Automated diagnosis of mammogram images of breast cancer using discrete wavelet transform and spherical wavelet transform features: a comparative study.

    PubMed

    Ganesan, Karthikeyan; Acharya, U Rajendra; Chua, Chua Kuang; Min, Lim Choo; Abraham, Thomas K

    2014-12-01

    Mammograms are one of the most widely used techniques for preliminary screening of breast cancers. There is great demand for early detection and diagnosis of breast cancer using mammograms. Texture based feature extraction techniques are widely used for mammographic image analysis. In specific, wavelets are a popular choice for texture analysis of these images. Though discrete wavelets have been used extensively for this purpose, spherical wavelets have rarely been used for Computer-Aided Diagnosis (CAD) of breast cancer using mammograms. In this work, a comparison of the performance between the features of Discrete Wavelet Transform (DWT) and Spherical Wavelet Transform (SWT) based on the classification results of normal, benign and malignant stage was studied. Classification was performed using Linear Discriminant Classifier (LDC), Quadratic Discriminant Classifier (QDC), Nearest Mean Classifier (NMC), Support Vector Machines (SVM) and Parzen Classifier (ParzenC). We have obtained a maximum classification accuracy of 81.73% for DWT and 88.80% for SWT features using SVM classifier. PMID:24000991

  4. [Efficacy of storage phosphor-based digital mammography in diagnosis of breast cancer--comparison with film-screen mammography].

    PubMed

    Kitahama, H

    1991-05-25

    The aim of this study is to present efficacy of storage phosphor-based digital mammography (CR-mammography) in diagnosis of breast cancer. Ninety-seven cases with breast cancer including 44 cases less than 2 cm in macroscopic size (t1 cases) were evaluated using storage phosphor-based digital mammography (2000 x 2510 pixels by 10 bits). Abnormal findings on CR-mammography were detected in 86 cases (88.7%) of 97 women with breast cancer. Sensitivity of CR-mammography was 88.7%. It was superior to that of film-screen mammography. On t1 breast cancer cases, sensitivity on CR-mammography was 88.6%. False negative rate in t1 breast cancer cases was reduced by image processing using CR-mammography. To evaluate microcalcifications, CR-mammograms and film-screen mammograms were investigated in 22 cases of breast cancer proven pathologically the existence of microcalcifications and 11 paraffin tissue blocks of breast cancer. CR-mammography was superior to film-screen mammography in recognizing of microcalcifications. As regards the detectability for the number and the shape of microcalcifications, CR-mammography was equivalent to film-screen mammography. Receiver operating characteristic (ROC) analysis by eight observers was performed for CR-mammography and film-screen mammography with 54 breast cancer patients and 54 normal cases. The detectability of abnormal findings of breast cancer on CR-mammography (ROC area = 0.91) was better than that on film-screen mammography (ROC area = 0.88) (p less than 0.05). Efficacy of storage phosphor-based digital mammography in diagnosis of breast cancer was discussed and demonstrated in this study.

  5. Segmentation for the enhancement of microcalcifications in digital mammograms.

    PubMed

    Milosevic, Marina; Jankovic, Dragan; Peulic, Aleksandar

    2014-01-01

    Microcalcification clusters appear as groups of small, bright particles with arbitrary shapes on mammographic images. They are the earliest sign of breast carcinomas and their detection is the key for improving breast cancer prognosis. But due to the low contrast of microcalcifications and same properties as noise, it is difficult to detect microcalcification. This work is devoted to developing a system for the detection of microcalcification in digital mammograms. After removing noise from mammogram using the Discrete Wavelet Transformation (DWT), we first selected the region of interest (ROI) in order to demarcate the breast region on a mammogram. Segmenting region of interest represents one of the most important stages of mammogram processing procedure. The proposed segmentation method is based on a filtering using the Sobel filter. This process will identify the significant pixels, that belong to edges of microcalcifications. Microcalcifications were detected by increasing the contrast of the images obtained by applying Sobel operator. In order to confirm the effectiveness of this microcalcification segmentation method, the Support Vector Machine (SVM) and k-Nearest Neighborhood (k-NN) algorithm are employed for the classification task using cross-validation technique.

  6. On-line structure-lossless digital mammogram image compression

    NASA Astrophysics Data System (ADS)

    Wang, Jun; Huang, H. K.

    1996-04-01

    This paper proposes a novel on-line structure lossless compression method for digital mammograms during the film digitization process. The structure-lossless compression segments the breast and the background, compresses the former with a predictive lossless coding method and discards the latter. This compression scheme is carried out during the film digitization process and no additional time is required for the compression. Digital mammograms are compressed on-the-fly while they are created. During digitization, lines of scanned data are first acquired into a small temporary buffer in the scanner, then they are transferred to a large image buffer in an acquisition computer which is connected to the scanner. The compression process, running concurrently with the digitization process in the acquisition computer, constantly checks the image buffer and compresses any newly arrived data. Since compression is faster than digitization, data compression is completed as soon as digitization is finished. On-line compression during digitization does not increase overall digitizing time. Additionally, it reduces the mammogram image size by a factor of 3 to 9 with no loss of information. This algorithm has been implemented in a film digitizer. Statistics were obtained based on digitizing 46 mammograms at four sampling distances from 50 to 200 microns.

  7. Segmentation for the enhancement of microcalcifications in digital mammograms.

    PubMed

    Milosevic, Marina; Jankovic, Dragan; Peulic, Aleksandar

    2014-01-01

    Microcalcification clusters appear as groups of small, bright particles with arbitrary shapes on mammographic images. They are the earliest sign of breast carcinomas and their detection is the key for improving breast cancer prognosis. But due to the low contrast of microcalcifications and same properties as noise, it is difficult to detect microcalcification. This work is devoted to developing a system for the detection of microcalcification in digital mammograms. After removing noise from mammogram using the Discrete Wavelet Transformation (DWT), we first selected the region of interest (ROI) in order to demarcate the breast region on a mammogram. Segmenting region of interest represents one of the most important stages of mammogram processing procedure. The proposed segmentation method is based on a filtering using the Sobel filter. This process will identify the significant pixels, that belong to edges of microcalcifications. Microcalcifications were detected by increasing the contrast of the images obtained by applying Sobel operator. In order to confirm the effectiveness of this microcalcification segmentation method, the Support Vector Machine (SVM) and k-Nearest Neighborhood (k-NN) algorithm are employed for the classification task using cross-validation technique. PMID:25059254

  8. Detection of microcalcification in computer-assisted mammogram analysis

    NASA Astrophysics Data System (ADS)

    Naghdy, Golshah A.; Naghdy, Fazel; Yue, L.; Drijarkara, A. P.

    1999-07-01

    The latest trend in computer assisted mammogram analysis is reviewed and two new methods developed by the authors for automatic detection of microcalcifications (MCs) are presented. The first method is based on wavelet neurone feature detectors and ART classifiers while the second method utilized fuzzy rules for detection and grading of MCs.

  9. Disparities in Screening Mammography

    PubMed Central

    Peek, Monica E; Han, Jini H

    2004-01-01

    OBJECTIVE This paper describes trends in screening mammography utilization over the past decade and assesses the remaining disparities in mammography use among medically underserved women. We also describe the barriers to mammography and report effective interventions to enhance utilization. DESIGN We reviewed medline and other databases as well as relevant bibliographies. MAIN RESULTS The United States has dramatically improved its use of screening mammography over the past decade, with increased rates observed in every demographic group. Disparities in screening mammography are decreasing among medically underserved populations but still persist among racial/ethnic minorities and low-income women. Additionally, uninsured women and those with no usual care have the lowest rates of reported mammogram use. However, despite apparent increases in mammogram utilization, there is growing evidence that limitations in the national survey databases lead to overestimations of mammogram use, particularly among low-income racial and ethnic minorities. CONCLUSIONS The United States may be farther from its national goals of screening mammography, particularly among underserved women, than current data suggests. We should continue to support those interventions that increase mammography use among the medically underserved by addressing the barriers such as cost, language and acculturation limitations, deficits in knowledge and cultural beliefs, literacy and health system barriers such as insurance and having a source regular of medical care. Addressing disparities in the diagnostic and cancer treatment process should also be a priority in order to affect significant change in health outcomes among the underserved. PMID:15009798

  10. Regularized discriminate analysis for breast mass detection on full field digital mammograms

    NASA Astrophysics Data System (ADS)

    Wei, Jun; Sahiner, Berkman; Zhang, Yiheng; Chan, Heang-Ping; Hadjiiski, Lubomir M.; Zhou, Chuan; Ge, Jun; Wu, Yi-Ta

    2006-03-01

    In computer-aided detection (CAD) applications, an important step is to design a classifier for the differentiation of the abnormal from the normal structures. We have previously developed a stepwise linear discriminant analysis (LDA) method with simplex optimization for this purpose. In this study, our goal was to investigate the performance of a regularized discriminant analysis (RDA) classifier in combination with a feature selection method for classification of the masses and normal tissues detected on full field digital mammograms (FFDM). The feature selection scheme combined a forward stepwise feature selection process and a backward stepwise feature elimination process to obtain the best feature subset. An RDA classifier and an LDA classifier in combination with this new feature selection method were compared to an LDA classifier with stepwise feature selection. A data set of 130 patients containing 260 mammograms with 130 biopsy-proven masses was used. All cases had two mammographic views. The true locations of the masses were identified by experienced radiologists. To evaluate the performance of the classifiers, we randomly divided the data set into two independent sets of approximately equal size for training and testing. The training and testing were performed using the 2-fold cross validation method. The detection performance of the CAD system was assessed by free response receiver operating characteristic (FROC) analysis. The average test FROC curve was obtained by averaging the FP rates at the same sensitivity along the two corresponding test FROC curves from the 2-fold cross validation. At the case-based sensitivities of 90%, 80% and 70% on the test set, our RDA classifier with the new feature selection scheme achieved an FP rate of 1.8, 1.1, and 0.6 FPs/image, respectively, compared to 2.1, 1.4, and 0.8 FPs/image with stepwise LDA with simplex optimization. Our results indicate that RDA in combination with the sequential forward inclusion

  11. The MammoGrid Virtual Organisation - Federating Distributed Mammograms.

    PubMed

    Estrella, Florida; McClatchey, Richard; Rogulin, Dmitry

    2005-01-01

    The MammoGrid project aims to deliver a prototype which enables the effective collaboration between radiologists using grid, service-orientation and database solutions. The grid technologies and service-based database management solution provide the platform for integrating diverse and distributed resources, creating what is called a 'virtual organisation'. The MammoGrid Virtual Organisation facilitates the sharing and coordinated access to mammography data, medical imaging software and computing resources of participating hospitals. Hospitals manage their local database of mammograms, but in addition, radiologists who are part of this organisation can share mammograms, reports, results and image analysis software. The MammoGrid Virtual Organisation is a federation of autonomous multi-centres sites which transcends national boundaries. This paper outlines the service-based approach in the creation and management of the federated distributed mammography database and discusses the role of virtual organisations in distributed image analysis.

  12. Connective tissue representation for detection of microcalcifications in digital mammograms

    NASA Astrophysics Data System (ADS)

    McLoughlin, Kristin J.; Bones, Philip J.; Kovesi, Peter

    2002-05-01

    Microcalcification clusters appear as an early sign of breast cancer and play an important role in interpreting mammograms. Progress is reported towards an automated computer aided detection system for clustered microcalcifications utilizing two image feature parameters: local contrast and shape. The use of a shape parameter is necessary to distinguish thin patches of connective tissue from microcalcifications. Two shape parameter techniques are compared in the segmentation of 15 digital mammogram images. The first technique implements the linear Hough transform, while the second uses image phase information in the Fourier domain. In both cases labeling of the image is performed by a deterministic relaxation scheme, in which both image data dn prior beliefs are weighted simultaneously. Similar segmentation results are obtained for each shape parameter technique however the execution time for the phase method is approximately one quarter that for the Hough method. Both techniques offer an improvement over segmentation results obtained without the shape parameter.

  13. Region-growing approach to detect microcalcifications in digital mammograms

    NASA Astrophysics Data System (ADS)

    Shin, Jin-Wook; Chae, Soo-Ik; Sook, Yoon M.; Park, Dong-Sun

    2001-09-01

    Detecting early symptoms of breast cancer is very important to enhance the possibility of cure. There have been active researches to develop computer-aided diagnosis(CAD) systems detecting early symptoms of breast cancer in digital mammograms. An expert or a CAD system can recognize the early symptoms based on microcalcifications appeared in digital mammographic images. Microcalcifications have higher gray value than surrounding regions, so these can be detected by expanding a region from a local maximum. However the resultant image contains unnecessary elements such as noise, holes and valleys. Mathematical morphology is a good solution to delete regions that are affected by the unnecessary elements. In this paper, we present a method that effectively detects microcalcifications in digital mammograms using a combination of local maximum operation and the region-growing operation.

  14. Automated analysis for microcalcifications in high resolution digital mammograms

    DOEpatents

    Mascio, Laura N.

    1996-01-01

    A method for automatically locating microcalcifications indicating breast cancer. The invention assists mammographers in finding very subtle microcalcifications and in recognizing the pattern formed by all the microcalcifications. It also draws attention to microcalcifications that might be overlooked because a more prominent feature draws attention away from an important object. A new filter has been designed to weed out false positives in one of the steps of the method. Previously, iterative selection threshold was used to separate microcalcifications from the spurious signals resulting from texture or other background. A Selective Erosion or Enhancement (SEE) Filter has been invented to improve this step. Since the algorithm detects areas containing potential calcifications on the mammogram, it can be used to determine which areas need be stored at the highest resolution available, while, in addition, the full mammogram can be reduced to an appropriate resolution for the remaining cancer signs.

  15. Automated analysis for microcalcifications in high resolution digital mammograms

    DOEpatents

    Mascio, L.N.

    1996-12-17

    A method is disclosed for automatically locating microcalcifications indicating breast cancer. The invention assists mammographers in finding very subtle microcalcifications and in recognizing the pattern formed by all the microcalcifications. It also draws attention to microcalcifications that might be overlooked because a more prominent feature draws attention away from an important object. A new filter has been designed to weed out false positives in one of the steps of the method. Previously, iterative selection threshold was used to separate microcalcifications from the spurious signals resulting from texture or other background. A Selective Erosion or Enhancement (SEE) Filter has been invented to improve this step. Since the algorithm detects areas containing potential calcifications on the mammogram, it can be used to determine which areas need be stored at the highest resolution available, while, in addition, the full mammogram can be reduced to an appropriate resolution for the remaining cancer signs. 8 figs.

  16. Estimation of Volumetric Breast Density from Digital Mammograms

    NASA Astrophysics Data System (ADS)

    Alonzo-Proulx, Olivier

    Mammographic breast density (MBD) is a strong risk factor for developing breast cancer. MBD is typically estimated by manually selecting the area occupied by the dense tissue on a mammogram. There is interest in measuring the volume of dense tissue, or volumetric breast density (VBD), as it could potentially be a stronger risk factor. This dissertation presents and validates an algorithm to measure the VBD from digital mammograms. The algorithm is based on an empirical calibration of the mammography system, supplemented by physical modeling of x-ray imaging that includes the effects of beam polychromaticity, scattered radation, anti-scatter grid and detector glare. It also includes a method to estimate the compressed breast thickness as a function of the compression force, and a method to estimate the thickness of the breast outside of the compressed region. The algorithm was tested on 26 simulated mammograms obtained from computed tomography images, themselves deformed to mimic the effects of compression. This allowed the determination of the baseline accuracy of the algorithm. The algorithm was also used on 55 087 clinical digital mammograms, which allowed for the determination of the general characteristics of VBD and breast volume, as well as their variation as a function of age and time. The algorithm was also validated against a set of 80 magnetic resonance images, and compared against the area method on 2688 images. A preliminary study comparing association of breast cancer risk with VBD and MBD was also performed, indicating that VBD is a stronger risk factor. The algorithm was found to be accurate, generating quantitative density measurements rapidly and automatically. It can be extended to any digital mammography system, provided that the compression thickness of the breast can be determined accurately.

  17. High prevalence of cardiovascular and respiratory abnormalities in advanced, intensively treated (transplanted) myeloma: The case for ‘late effects’ screening and preventive strategies

    PubMed Central

    Samuelson, Clare; O'Toole, Laurence; Boland, Elaine; Greenfield, Diana; Ezaydi, Yousef; Ahmedzai, Sam H.; Snowden, John A.

    2016-01-01

    Objectives: Modern management of myeloma has significantly improved survival, with increasing numbers of patients living beyond a decade. However, little is known about the long-term cardiovascular and respiratory status of intensively treated and multiply relapsed survivors. Methods: We performed detailed cardiovascular and respiratory evaluations in patients with intensively treated, advanced but stable myeloma. All patients had received at least two lines of treatment, including at least one haematopoietic stem cell transplantation procedure, but had stable, controlled disease and were off active treatment at the time of evaluation. Results: Thirty-two patients with a median duration of 6 years (range 2–12) from original diagnosis of myeloma and three lines (range 2–6) of treatment were evaluated. Despite normal physical examination in the majority, there was a high prevalence of sub-clinical cardiac and respiratory dysfunction, reflected by abnormalities of electrocardiography (45%), echocardiography (50%), serum N-terminal pro-B-type natriuretic peptide level (NT-pro-BNP, 50%), and pulmonary function testing (45%). NT-pro-BNP level correlated negatively with quality of life (P = 0.012) and positively with serum ferritin (P = 0.027). Dyspnoea score correlated with BMI (P = 0.001). Risk factors for cardiovascular disease (obesity, hypertension, hyperlipidaemia, and hyperinsulinaemia) were common. Discussion: Even in the absence of overt clinical features, the majority of intensively treated long-term survivors of myeloma have established cardiovascular and/or respiratory dysfunction, above levels expected in the general population of a similar age. Conclusion: This study supports routine screening and lifestyle modification combined with primary and secondary preventive strategies to reduce cardiovascular and respiratory disease and to preserve quality of life in transplanted myeloma patients. PMID:27077780

  18. A decision support system based on an ensemble of random forests for improving the management of women with abnormal findings at cervical cancer screening.

    PubMed

    Bountris, Panagiotis; Haritou, Maria; Pouliakis, Abraham; Karakitsos, Petros; Koutsouris, Dimitrios

    2015-08-01

    In most cases, cervical cancer (CxCa) develops due to underestimated abnormalities in the Pap test. Today, there are ancillary molecular biology techniques available that provide important information related to CxCa and the Human Papillomavirus (HPV) natural history, including HPV DNA tests, HPV mRNA tests and immunocytochemistry techniques such as overexpression of p16. These techniques are either highly sensitive or highly specific, however not both at the same time, thus no perfect method is available today. In this paper we present a decision support system (DSS) based on an ensemble of Random Forests (RFs) for the intelligent combination of the results of classic and ancillary techniques that are available for CxCa detection, in order to exploit the benefits of each technique and produce more accurate results. The proposed system achieved both, high sensitivity (86.1%) and high specificity (93.3%), as well as high overall accuracy (91.8%), in detecting cervical intraepithelial neoplasia grade 2 or worse (CIN2+). The system's performance was better than any other single test involved in this study. Moreover, the proposed architecture of employing an ensemble of RFs proved to be better than the single classifier approach. The presented system can handle cases with missing tests and more importantly cases with inadequate cytological outcome, thus it can also produce accurate results in the case of stand-alone HPV-based screening, where Pap test is not applied. The proposed system may identify women at true risk of developing CxCa and guide personalised management and therapeutic interventions.

  19. Automatic detection of clustered microcalcifications in digitized mammogram films

    NASA Astrophysics Data System (ADS)

    Yu, Songyang; Guan, Ling; Brown, Stephen

    1999-01-01

    The existence of clustered microcalcifications is one of the important early signs of breast cancer. This paper presents an image processing procedure for the automatic detection of clustered microcalcifications in digitized mammograms. In particular, a sensitivity range of around one false positive per image is targeted. The proposed method consists of two main steps. First, possible microcalcification pixels in the mammograms are segmented out using wavelet features or both wavelet features and gray level statistical features, and labeled into potential individual microcalcification objects by their spatial connectivity. Second, individual microcalcifications are detected by using the structure features extracted from the potential microcalcification objects. The classifiers used in these two steps are feedforward neutral networks. The method is applied to a database of 40 mammograms (Nijmegen database) containing 105 clusters of microcalcifications. A free response operating characteristics curve is used to evaluate the performance. Results show that the proposed procedure gives quite satisfactory detection performance. In particular, a 93% mean true positive detection rate is achieved at the price of one false positive per image when both wavelet features and gray level statistical features are used in the first step.

  20. Does image reduction affect the diagnostic accuracy of digital mammograms?

    NASA Astrophysics Data System (ADS)

    Takane, Yumi; Kawasumi, Yusuke; Horie, Tsunemitsu; Ishibashi, Tadashi

    2013-03-01

    We aimed to evaluate the influence of image reduction using a bi-cubic interpolation method on the accuracy of detection of clustered microcalcifications (MCLs) and masses on digital mammograms. Digital mammograms (n=194) of 97 subjects were selected retrospectively, comprising 47 patients with clustered MCLs or masses and 52 controls. Images were acquired in the craniocaudal view by phase-contrast mammography (PCM). Original PCM images comprised 25-μm pixels. The reduced images converted from the originals by bi-cubic interpolation were of 50-μm pixel size. Five observers independently interpreted all images, and rated their confidence concerning the presence of lesions on a continuous 0-100 scale. Receiver-operating characteristic (ROC) analysis was performed using the jackknife method and LABMRMC program. Differences in areas under the curve (AUC) values based on 95% confidence intervals were evaluated. The average AUC values for detection of masses were 0.8435 and 0.8646 for the original and reduced images, respectively. The difference between the average AUC values was not statistically significant (p=0.5855). Average AUC values for clustered MCLs detection were 0.9273 and 0.9574 for the original and reduced images, respectively. This difference was not statistically significant (p=0.1949). Detection of masses and clustered MCLs on digital mammograms was unaffected by bi-cubic interpolation image reduction.

  1. Filter-based feature selection and support vector machine for false positive reduction in computer-aided mass detection in mammograms

    NASA Astrophysics Data System (ADS)

    Nguyen, V. D.; Nguyen, D. T.; Nguyen, T. D.; Phan, V. A.; Truong, Q. D.

    2015-02-01

    In this paper, a method for reducing false positive in computer-aided mass detection in screening mammograms is proposed. A set of 32 features, including First Order Statistics (FOS) features, Gray-Level Occurrence Matrix (GLCM) features, Block Difference Inverse Probability (BDIP) features, and Block Variation of Local Correlation coefficients (BVLC) are extracted from detected Regions-Of-Interest (ROIs). An optimal subset of 8 features is selected from the full feature set by mean of a filter-based Sequential Backward Selection (SBS). Then, Support Vector Machine (SVM) is utilized to classify the ROIs into massive regions or normal regions. The method's performance is evaluated using the area under the Receiver Operating Characteristic (ROC) curve (AUC or AZ). On a dataset consisting about 2700 ROIs detected from mini-MIAS database of mammograms, the proposed method achieves AZ=0.938.

  2. A half-second glimpse often lets radiologists identify breast cancer cases even when viewing the mammogram of the opposite breast.

    PubMed

    Evans, Karla K; Haygood, Tamara Miner; Cooper, Julie; Culpan, Anne-Marie; Wolfe, Jeremy M

    2016-09-13

    Humans are very adept at extracting the "gist" of a scene in a fraction of a second. We have found that radiologists can discriminate normal from abnormal mammograms at above-chance levels after a half-second viewing (d' ∼ 1) but are at chance in localizing the abnormality. This pattern of results suggests that they are detecting a global signal of abnormality. What are the stimulus properties that might support this ability? We investigated the nature of the gist signal in four experiments by asking radiologists to make detection and localization responses about briefly presented mammograms in which the spatial frequency, symmetry, and/or size of the images was manipulated. We show that the signal is stronger in the higher spatial frequencies. Performance does not depend on detection of breaks in the normal symmetry of left and right breasts. Moreover, above-chance classification is possible using images from the normal breast of a patient with overt signs of cancer only in the other breast. Some signal is present in the portions of the parenchyma (breast tissue) that do not contain a lesion or that are in the contralateral breast. This signal does not appear to be a simple assessment of breast density but rather the detection of the abnormal gist may be based on a widely distributed image statistic, learned by experts. The finding that a global signal, related to disease, can be detected in parenchyma that does not contain a lesion has implications for improving breast cancer detection.

  3. Automatic detection of clustered microcalcifications in digital mammograms based on wavelet features and neural network classification

    NASA Astrophysics Data System (ADS)

    Yu, Songyang; Guan, Ling; Brown, Stephen

    1998-06-01

    The appearance of clustered microcalcifications in mammogram films is one of the important early signs of breast cancer. This paper presents a new image processing system for the automatic detection of clustered microcalcifications in digitized mammogram films. The detection method uses wavelet features and feed forward neural network to find possible microcalcifications pixels and a set of features to locate individual microcalcifications.

  4. Is a Short-Interval Postradiation Mammogram Necessary After Conservative Surgery and Radiation in Breast Cancer?

    SciTech Connect

    Lin, Kevin Eradat, Jilbert B.S.; Mehta, Niraj H.; Bent, Chris; Lee, Steve P.; Apple, Sophia K.; Bassett, Lawrence W.

    2008-11-15

    Purpose: To examine, in a retrospective study, whether the initial posttreatment mammogram offers any benefit to patients. Methods and Materials: Patients were selected who had radiation after breast-conservation therapy from 1995 through 2005 and had follow-up mammography at University of California-Los Angeles (UCLA) within 1 year of completing radiotherapy. Results of the initial follow-up mammogram were analyzed to determine the yield of this initial mammogram. Results: Between 1995 and 2005, 408 patients treated with breast-conserving therapy and radiation had follow-up mammograms at UCLA within 1 year of completion of radiation. Median age at radiation completion was 56.9 years. Median interval between radiation and the initial mammogram was 3.1 months. Ten patients were found to have suspicious findings on the initial postradiation mammogram, prompting biopsy, but only 2 were found to have recurrent cancer. None of those lesions were palpable. In both cases the recurrences were ductal carcinoma in situ. Thus, the yield of the initial postoperative mammogram as compared with physical examination findings is estimated at 0.49 recurrences detected per 100 mammograms performed (95% confidence interval 0.059-1.759). Conclusions: The yield of the initial postradiation mammography at UCLA seems to be low, and only noninvasive carcinomas were found. Our data support the rationale to avoid the initial short-interval postradiation mammography and evaluate patients at 12 months.

  5. Detection of microcalcifications in mammograms using statistical measures based region-growing

    NASA Astrophysics Data System (ADS)

    Shanmugavadivu, Pitchai; Lakshmi Narayanan, S. G.

    2013-01-01

    A novel technique to detect the microcalcifications in digital mammograms presented in this paper uses the statistical measures, namely mean and variance, as the criterion to classify the pixels representing microcalcifications. This method has proved its credentials by accurately segmenting the microcalcifications in the mammogram image. This approach fixes the boundary of the microcalcifications accurately, which confirms, its qualitative performance.

  6. Mammography screening behavior in older women caregivers.

    PubMed

    Chang, B L; Sarna, L; Carter, P A

    2001-01-01

    The purposes of this study are to explore older caregivers' mammography participation and the facilitators and barriers to mammography screening. Of the 52 older female caregivers with a mean age of 65 years (range 50-90) interviewed by telephone, 80.8% had had a mammogram within 12 months. Significant facilitators included health care provider recommendation and beliefs in the efficacy of treatment. Significant barriers included health care providers' failure to recommend mammograms, caregiver procrastination, fear of pain, and lack of symptoms. Caregivers with higher burden reported less frequent self- and provider-conducted breast examinations.

  7. Meiotic abnormalities

    SciTech Connect

    1993-12-31

    Chapter 19, describes meiotic abnormalities. These include nondisjunction of autosomes and sex chromosomes, genetic and environmental causes of nondisjunction, misdivision of the centromere, chromosomally abnormal human sperm, male infertility, parental age, and origin of diploid gametes. 57 refs., 2 figs., 1 tab.

  8. Accuracy of Screening Mammography Interpretation by Characteristics of Radiologists

    PubMed Central

    Barlow, William E.; Chi, Chen; Carney, Patricia A.; Taplin, Stephen H.; D’Orsi, Carl; Cutter, Gary; Hendrick, R. Edward; Elmore, Joann G.

    2011-01-01

    Background Radiologists differ in their ability to interpret screening mammograms accurately. We investigated the relationship of radiologist characteristics to actual performance from 1996 to 2001. Methods Screening mammograms (n = 469 512) interpreted by 124 radiologists were linked to cancer outcome data. The radiologists completed a survey that included questions on demographics, malpractice concerns, years of experience interpreting mammograms, and the number of mammograms read annually. We used receiver operating characteristics (ROC) analysis to analyze variables associated with sensitivity, specificity, and the combination of the two, adjusting for patient variables that affect performance. All P values are two-sided. Results Within 1 year of the mammogram, 2402 breast cancers were identified. Relative to low annual interpretive volume (≤1000 mammograms), greater interpretive volume was associated with higher sensitivity (P = .001; odds ratio [OR] for moderate volume [1001–2000] = 1.68, 95% CI = 1.18 to 2.39; OR for high volume [>2000] = 1.89, 95% CI = 1.36 to 2.63). Specificity decreased with volume (OR for 1001–2000 = 0.65, 95% CI = 0.52 to 0.83; OR for more than 2000 = 0.76, 95% CI = 0.60 to 0.96), compared with 1000 or less (P = .002). Greater number of years of experience interpreting mammograms was associated with lower sensitivity (P = .001), but higher specificity (P = .003). ROC analysis using the ordinal BI-RADS interpretation showed an association between accuracy and both previous mammographic history (P = .012) and breast density (P<.001). No association was observed between accuracy and years interpreting mammograms (P = .34) or mammography volume (P = .94), after adjusting for variables that affect the threshold for calling a mammogram positive. Conclusions We found no evidence that greater volume or experience at interpreting mammograms is associated with better performance. However, they may affect sensitivity and specificity

  9. Ameliorating mammograms by using novel image processing algorithms

    NASA Astrophysics Data System (ADS)

    Pillai, A.; Kwartowitz, D.

    2014-03-01

    Mammography is one of the most important tools for the early detection of breast cancer typically through detection of characteristic masses and/or micro calcifications. Digital mammography has become commonplace in recent years. High quality mammogram images are large in size, providing high-resolution data. Estimates of the false negative rate for cancers in mammography are approximately 10%-30%. This may be due to observation error, but more frequently it is because the cancer is hidden by other dense tissue in the breast and even after retrospective review of the mammogram, cannot be seen. In this study, we report on the results of novel image processing algorithms that will enhance the images providing decision support to reading physicians. Techniques such as Butterworth high pass filtering and Gabor filters will be applied to enhance images; followed by segmentation of the region of interest (ROI). Subsequently, the textural features will be extracted from the ROI, which will be used to classify the ROIs as either masses or non-masses. Among the statistical methods most used for the characterization of textures, the co-occurrence matrix makes it possible to determine the frequency of appearance of two pixels separated by a distance, at an angle from the horizontal. This matrix contains a very large amount of information that is complex. Therefore, it is not used directly but through measurements known as indices of texture such as average, variance, energy, contrast, correlation, normalized correlation and entropy.

  10. Exploring potential use of internet, E-mail, and instant text messaging to promote breast health and mammogram use among immigrant Hispanic women in Los Angeles County.

    PubMed

    Dang, Catherine M; Estrada, Sylvia; Bresee, Catherine; Phillips, Edward H

    2013-10-01

    Breast cancer is now the leading cause of death in Hispanic women (HW). Internet, e-mail, and instant text messaging may be cost-effective in educating HW about breast health and in reducing breast cancer mortality. We surveyed 905 HW women attending a free health fair about their technology use, acculturation, insurance status, mammography use, and breast cancer knowledge. Data were analyzed by t test or χ(2) tests. Mean age was 51.9 ± 14.2 years (range, 18 to 88 years). Ninety-two per cent were foreign-born. Most had completed some high school (39%) or elementary (38%) education. Most (62%) were uninsured. The majority spoke (67%) and read (66%) only Spanish. Only 60 per cent of HW older than 40 years had a recent mammogram. HW older than 40 years who had not had a recent mammogram were younger (mean 54.9 ± 10.8 vs 58 ± 10.4 years) and less likely to have health insurance (25 vs 44%; P < 0.001). Most HW never use the Internet (58%) or e-mail (64%). However, 70 per cent have mobile phones (66% older than 40 years), and 65 per cent use text messaging daily (58% older than 40 years, P = 0.001). In fact, 45 per cent wish to receive a mammogram reminder by text. Text messaging may be an inexpensive way to promote breast health and screening mammography use among uninsured HW.

  11. Automated microcalcification detection in mammograms using statistical variable-box-threshold filter method

    NASA Astrophysics Data System (ADS)

    Wilson, Mark; Mitra, Sunanda; Roberson, Glenn H.; Shieh, Yao-Yang

    1997-10-01

    Currently early detection of breast cancer is primarily accomplished by mammography and suspicious findings may lead to a decision for performing a biopsy. Digital enhancement and pattern recognition techniques may aid in early detection of some patterns such as microcalcification clusters indicating onset of DCIS (ductal carcinoma in situ) that accounts for 20% of all mammographically detected breast cancers and could be treated when detected early. These individual calcifications are hard to detect due to size and shape variability and inhomogeneous background texture. Our study addresses only early detection of microcalcifications that allows the radiologist to interpret the x-ray findings in computer-aided enhanced form easier than evaluating the x-ray film directly. We present an algorithm which locates microcalcifications based on local grayscale variability and of tissue structures and image statistics. Threshold filters with lower and upper bounds computed from the image statistics of the entire image and selected subimages were designed to enhance the entire image. This enhanced image was used as the initial image for identifying the micro-calcifications based on the variable box threshold filters at different resolutions. The test images came from the Texas Tech University Health Sciences Center and the MIAS mammographic database, which are classified into various categories including microcalcifications. Classification of other types of abnormalities in mammograms based on their characteristic features is addressed in later studies.

  12. How much agreement is there in the visual search strategy of experts reading mammograms?

    NASA Astrophysics Data System (ADS)

    Mello-Thoms, Claudia

    2008-03-01

    Previously we have shown that the eyes of expert breast imagers are attracted to the location of a malignant mass in a mammogram in less than 2 seconds after image onset. Moreover, the longer they take to visually fixate the location of the mass, the less likely it is that they will report it. We conjectured that this behavior was due to the formation of the initial hypothesis about the image (i.e., 'normal' - no lesions to report, or 'abnormal' - possible lesions to report). This initial hypothesis is formed as a result of a difference template between the experts' expectations of the image and the actual image. Hence, when the image is displayed, the expert detects the areas that do not correspond to their 'a priori expectation', and these areas get assigned weights according to the magnitude of the perturbation. The radiologist then uses eye movements to guide the high resolution fovea to each of these locations, in order to resolve each perturbation. To accomplish this task successfully the radiologist uses not only the local features in the area but also lateral comparisons with selected background locations, and this comprises the radiologist's visual search strategy. Eye-position tracking studies seem to suggest that no two radiologists search the breast parenchyma alike, which makes one wonder whether successful search models can be developed. In this study we show that there is more to the experts' search strategy than meets the eye.

  13. Xeromammographic screening: is it helping

    SciTech Connect

    Hatton, P.D.; Harford, F.J. Jr.; Sheppard, J.R.

    1984-07-01

    A review is presented of the authors' experience with xeromammography over a five-year period in a setting where there is no protocol for mammographic screening. Only 8.9% of breast carcinomas were found by xeromammography alone, a ratio substantially smaller than that found in large screening programs. While 80% of the occult carcinomas were localized, only 47% of women with palpable disease had localized tumors. It appears that screening mammography is underused, and that more localized tumors would be detected if more mammograms were ordered.

  14. Craniofacial Abnormalities

    MedlinePlus

    ... of the skull and face. Craniofacial abnormalities are birth defects of the face or head. Some, like cleft ... palate, are among the most common of all birth defects. Others are very rare. Most of them affect ...

  15. Walking abnormalities

    MedlinePlus

    ... include: Arthritis of the leg or foot joints Conversion disorder (a psychological disorder) Foot problems (such as a ... injuries. For an abnormal gait that occurs with conversion disorder, counseling and support from family members are strongly ...

  16. Nail abnormalities

    MedlinePlus

    Beau's lines; Fingernail abnormalities; Spoon nails; Onycholysis; Leukonychia; Koilonychia; Brittle nails ... Just like the skin, the fingernails tell a lot about your health: ... the fingernail. These lines can occur after illness, injury to ...

  17. Process mapping in screening mammography.

    PubMed

    Whitman, G J; Venable, S L; Downs, R L; Garza, D; Levy, S; Ophir, K J; Spears, K F; Sprinkle-Vincent, S K; Stelling, C B

    1999-05-01

    Successful screening mammography programs aim to screen large numbers of women efficiently and inexpensively. Development of an effective screening mammography program requires skilled personnel, solid infrastructure, and a robust computer system. A group of physicians, technologists, computer support personnel, and administrators carefully analyzed a growing screening mammography program as a series of steps, starting with the request for the examination and ending with the receipt of a hard-copy consultation. The analysis involved a detailed examination of every step and every possible outcome in the screening process. The information gained through process mapping may be used for identification of systemic and personnel problems, allocation of resources, modification of workplace architecture, and design of computer networks. Process mapping is helpful for those involved in designing and improving screening mammography programs. Viewing a process (i.e., obtaining a screening mammogram) as a series of steps may allow for the identification of inefficient components that may limit growth. PMID:10342216

  18. Detection of microcalcifications in mammograms using error of prediction and statistical measures

    NASA Astrophysics Data System (ADS)

    Acha, Begoña; Serrano, Carmen; Rangayyan, Rangaraj M.; Leo Desautels, J. E.

    2009-01-01

    A two-stage method for detecting microcalcifications in mammograms is presented. In the first stage, the determination of the candidates for microcalcifications is performed. For this purpose, a 2-D linear prediction error filter is applied, and for those pixels where the prediction error is larger than a threshold, a statistical measure is calculated to determine whether they are candidates for microcalcifications or not. In the second stage, a feature vector is derived for each candidate, and after a classification step using a support vector machine, the final detection is performed. The algorithm is tested with 40 mammographic images, from Screen Test: The Alberta Program for the Early Detection of Breast Cancer with 50-μm resolution, and the results are evaluated using a free-response receiver operating characteristics curve. Two different analyses are performed: an individual microcalcification detection analysis and a cluster analysis. In the analysis of individual microcalcifications, detection sensitivity values of 0.75 and 0.81 are obtained at 2.6 and 6.2 false positives per image, on the average, respectively. The best performance is characterized by a sensitivity of 0.89, a specificity of 0.99, and a positive predictive value of 0.79. In cluster analysis, a sensitivity value of 0.97 is obtained at 1.77 false positives per image, and a value of 0.90 is achieved at 0.94 false positive per image.

  19. Automated detection scheme of architectural distortion in mammograms using adaptive Gabor filter

    NASA Astrophysics Data System (ADS)

    Yoshikawa, Ruriha; Teramoto, Atsushi; Matsubara, Tomoko; Fujita, Hiroshi

    2013-03-01

    Breast cancer is a serious health concern for all women. Computer-aided detection for mammography has been used for detecting mass and micro-calcification. However, there are challenges regarding the automated detection of the architectural distortion about the sensitivity. In this study, we propose a novel automated method for detecting architectural distortion. Our method consists of the analysis of the mammary gland structure, detection of the distorted region, and reduction of false positive results. We developed the adaptive Gabor filter for analyzing the mammary gland structure that decides filter parameters depending on the thickness of the gland structure. As for post-processing, healthy mammary glands that run from the nipple to the chest wall are eliminated by angle analysis. Moreover, background mammary glands are removed based on the intensity output image obtained from adaptive Gabor filter. The distorted region of the mammary gland is then detected as an initial candidate using a concentration index followed by binarization and labeling. False positives in the initial candidate are eliminated using 23 types of characteristic features and a support vector machine. In the experiments, we compared the automated detection results with interpretations by a radiologist using 50 cases (200 images) from the Digital Database of Screening Mammography (DDSM). As a result, true positive rate was 82.72%, and the number of false positive per image was 1.39. There results indicate that the proposed method may be useful for detecting architectural distortion in mammograms.

  20. Ensemble Supervised Classification Method Using the Regions of Interest and Grey Level Co-Occurrence Matrices Features for Mammograms Data

    PubMed Central

    Yousefi Banaem, Hossein; Mehri Dehnavi, Alireza; Shahnazi, Makhtum

    2015-01-01

    Background: Breast cancer is one of the most encountered cancers in women. Detection and classification of the cancer into malignant or benign is one of the challenging fields of the pathology. Objectives: Our aim was to classify the mammogram data into normal and abnormal by ensemble classification method. Patients and Methods: In this method, we first extract texture features from cancerous and normal breasts, using the Gray-Level Co-occurrence Matrices (GLCM) method. To obtain better results, we select a region of breast with high probability of cancer occurrence before feature extraction. After features extraction, we use the maximum difference method to select the features that have predominant difference between normal and abnormal data sets. Six selected features served as the classifying tool for classification purpose by the proposed ensemble supervised algorithm. For classification, the data were first classified by three supervised classifiers, and then by simple voting policy, we finalized the classification process. Results: After classification with the ensemble supervised algorithm, the performance of the proposed method was evaluated by perfect test method, which gave the sensitivity and specificity of 96.66% and 97.50%, respectively. Conclusions: In this study, we proposed a new computer aided diagnostic tool for the detection and classification of breast cancer. The obtained results showed that the proposed method is more reliable in diagnostic to assist the radiologists in the detection of abnormal data and to improve the diagnostic accuracy. PMID:26557265

  1. System for Automatic Detection of Clustered Microcalcifications in Digital Mammograms

    NASA Astrophysics Data System (ADS)

    Bazzani, A.; Bollini, D.; Brancaccio, R.; Campanini, R.; Lanconelli, N.; Romani, D.; Bevilacqua, A.

    In this paper, we investigate the performance of a Computer Aided Diagnosis (CAD) system for the detection of clustered microcalcifications in mammograms. Our detection algorithm consists of the combination of two different methods. The first, based on difference-image techniques and gaussianity statistical tests, finds out the most obvious signals. The second, is able to discover more subtle microcalcifications by exploiting a multiresolution analysis by means of the wavelet transform. We can separately tune the two methods, so that each one of them is able to detect signals with similar features. By combining signals coming out from the two parts through a logical OR operation, we can discover microcalcifications with different characteristics. Our algorithm yields a sensitivity of 91.4% with 0.4 false positive cluster per image on the 40 images of the Nijmegen database.

  2. Fourier-based segmentation of microcalcifications in mammograms

    NASA Astrophysics Data System (ADS)

    López-Meléndez, Elizabeth; Lara-Rodríguez, Luis David; Urcid, Gonzalo

    2015-09-01

    This paper presents a Fourier transform approach to detect microcalcifications in digital mammograms. The basic idea consists in the design of parametric Butterworth bandpass filters in the Fourier domain used to extract sharpened border like structures that correspond to detected mammography microcalcifications. Image thresholding of the filtered image is accomplished, first by homogenizing the background (fibroglandular tissue) with a median filter, after which a gamma correction is applied to change the global contrast. Second, by postprocessing the resulting image using histogram based local and global statistics we obtain a properly binarized image that emphasizes the desired objects (microcalcifications) and segmentation is completed using a sequence of morphological binary operations. Several illustrative examples taken from a clinical database are included to demonstrate the capability of the proposed approach in comparison with other edge detection techniques such as the difference of Gaussians (DoG) and the Laplacian of a Gaussian (LoG).

  3. Mammography and breast cancer screening.

    PubMed

    Bassett, L W; Manjikian, V; Gold, R H

    1990-08-01

    Breast radiography should be performed only with film-screen mammography or xeromammography. At least two views of each breast should be obtained, and for film-screen mammography, at least one of these should be the oblique view. Quality assurance is becoming a significant concern in breast cancer screening. The ACR Mammography Accreditation Program takes into account the qualifications of the personnel, the performance of the x-ray equipment, and a peer review of the final product: the diagnostic image. The mammographic signs of malignancy can be divided into primary, secondary, and indirect. The accuracy of mammography depends on several factors, but the greatest limitation is the density of the breast tissue. Very dense tissue makes detection of breast cancer difficult, and a negative mammogram should never deter one from a biopsy of a clinically suspect mass. New consensus guidelines for breast cancer screening were developed to bring uniformity to the recommendations of the American Cancer Society, the National Cancer Institute, and various professional medical societies. These new guidelines reflect the encouraging results from recent clinical trials, as well as some discouraging reports on breast self-examination and the baseline mammogram. The underutilization of screening mammography is a problem of significant concern to both private and public health agencies. Barriers to mammographic screening include lack of awareness of the benefits of screening, physicians' misconceptions about patient compliance, concerns about radiation risk and overdiagnosis, fear of mastectomy, a perception that a mammogram involves great discomfort, and relatively high cost. Nationwide educational programs are under way to counter misconceptions about mammography, and various strategies are evolving to overcome the other barriers. Sonography is a useful adjunct to mammography for cyst-solid differentiation, but mammography is the only imaging modality effective for the early

  4. Racial Differences in Follow-up of Abnormal Mammography Findings Among Economically Disadvantaged Women

    PubMed Central

    Adams, Swann Arp; Smith, Emily Rose; Hardin, James; Das, Irene Prabhu; Fulton, Jeanette; Hebert, James R.

    2010-01-01

    Background In the United States and particularly South Carolina, African-American women suffer disproportionately higher mortality rates than do European-American women. The timeliness of patient adherence to the follow-up of mammographic abnormalities may influence prognosis and survival. Consequently, the purpose of the present investigation was to examine racial differences in the completion and completion time of a diagnostic work-up following a finding of a suspicious breast abnormality. Methods Study participants of the Best Chance Network, a state-wide service program that provides free mammography screenings to economically disadvantaged and medically underserved women, were included in the study. Racial differences in tumor characteristics and adherence to recommended work-up were tested using Chi-square and t-tests. Logistic and Cox regression modeling was used to assess the relationship between work-up completion and other factors among African-American and European-American women. Results Completion of the work-up was associated with the number of previous procedures and income, with no significant differences noted by race. The amount of time to completion of the work-up was influenced by previous procedures, income, and race. After accounting for completion time, African-American women were 12% less likely than European-American women to complete the recommended work-up (HR=0.88, p-value=0.01). Conclusion This study established a racial disparity in the time to completion of a diagnostic work-up among Best Chance Network participants. These findings highlight the importance of understanding factors associated with delays and adherence in completion of recommended work-up when breast abnormalities are detected in mammograms. PMID:19859902

  5. Shifting from glucose diagnosis to the new HbA1c diagnosis reduces the capability of the Finnish Diabetes Risk Score (FINDRISC) to screen for glucose abnormalities within a real-life primary healthcare preventive strategy

    PubMed Central

    2013-01-01

    Background To investigate differences in the performance of the Finnish Diabetes Risk Score (FINDRISC) as a screening tool for glucose abnormalities after shifting from glucose-based diagnostic criteria to the proposed new hemoglobin (Hb)A1c-based criteria. Methods A cross-sectional primary-care study was conducted as the first part of an active real-life lifestyle intervention to prevent type 2 diabetes within a high-risk Spanish Mediterranean population. Individuals without diabetes aged 45-75 years (n = 3,120) were screened using the FINDRISC. Where feasible, a subsequent 2-hour oral glucose tolerance test and HbA1c test were also carried out (n = 1,712). The performance of the risk score was calculated by applying the area under the curve (AUC) for the receiver operating characteristic, using three sets of criteria (2-hour glucose, fasting glucose, HbA1c) and three diagnostic categories (normal, pre-diabetes, diabetes). Results Defining diabetes by a single HbA1c measurement resulted in a significantly lower diabetes prevalence (3.6%) compared with diabetes defined by 2-hour plasma glucose (9.2%), but was not significantly lower than that obtained using fasting plasma glucose (3.1%). The FINDRISC at a cut-off of 14 had a reasonably high ability to predict diabetes using the diagnostic criteria of 2-hour or fasting glucose (AUC = 0.71) or all glucose abnormalities (AUC = 0.67 and 0.69, respectively). When HbA1c was used as the primary diagnostic criterion, the AUC for diabetes detection dropped to 0.67 (5.6% reduction in comparison with either 2-hour or fasting glucose) and fell to 0.55 for detection of all glucose abnormalities (17.9% and 20.3% reduction, respectively), with a relevant decrease in sensitivity of the risk score. Conclusions A shift from glucose-based diagnosis to HbA1c-based diagnosis substantially reduces the ability of the FINDRISC to screen for glucose abnormalities when applied in this real-life primary-care preventive strategy. PMID

  6. Unsupervised detection of abnormalities in medical images using salient features

    NASA Astrophysics Data System (ADS)

    Alpert, Sharon; Kisilev, Pavel

    2014-03-01

    In this paper we propose a new method for abnormality detection in medical images which is based on the notion of medical saliency. The proposed method is general and is suitable for a variety of tasks related to detection of: 1) lesions and microcalcifications (MCC) in mammographic images, 2) stenoses in angiographic images, 3) lesions found in magnetic resonance (MRI) images of brain. The main idea of our approach is that abnormalities manifest as rare events, that is, as salient areas compared to normal tissues. We define the notion of medical saliency by combining local patch information from the lightness channel with geometric shape local descriptors. We demonstrate the efficacy of the proposed method by applying it to various modalities, and to various abnormality detection problems. Promising results are demonstrated for detection of MCC and of masses in mammographic images, detection of stenoses in angiography images, and detection of lesions in brain MRI. We also demonstrate how the proposed automatic abnormality detection method can be combined with a system that performs supervised classification of mammogram images into benign or malignant/premalignant MCC's. We use a well known DDSM mammogram database for the experiment on MCC classification, and obtain 80% accuracy in classifying images containing premalignant MCC versus benign ones. In contrast to supervised detection methods, the proposed approach does not rely on ground truth markings, and, as such, is very attractive and applicable for big corpus image data processing.

  7. Breast Cancer Patients with High Density Mammograms Do Not Have Increased Risk of Death

    MedlinePlus

    ... News Releases News Release Thursday, September 6, 2012 Breast cancer patients with high density mammograms do not have ... is a marker of increased risk of developing breast cancer, does not seem to increase the risk of ...

  8. MRT letter: Quantum noise removal and classification of breast mammogram images.

    PubMed

    Naseem, M Talha; Sulong, Ghazali Bin; Jaffar, M Arfan

    2012-12-01

    Because of the limitations of the X-ray hardware systems in mammogram machines, the quality of the breast mammogram images may undergo from poor resolution or low contrast. Quantum noise occurs in the mammogram images during acquisition due to low-count X-ray photons. In this work, an adaptive frost filter has been used to remove quantum noise. Local binary patterns have been extracted to classify breast mammograms into benign and malignant using different classifiers. Results show the superiority of the proposed algorithm in terms of sensitivity, specificity, and accuracy. Mammographic Institute Society Analysis database of mammography has been used for experimentation. Peak signal-to-noise ratio and structural similarity index measure are used to test the validity of adaptive frost filter. Experiment results show that proposed technique produces better results. PMID:23034955

  9. Detection of architectural distortion in prior mammograms via analysis of oriented patterns.

    PubMed

    Rangayyan, Rangaraj M; Banik, Shantanu; Desautels, J E Leo

    2013-01-01

    We demonstrate methods for the detection of architectural distortion in prior mammograms of interval-cancer cases based on analysis of the orientation of breast tissue patterns in mammograms. We hypothesize that architectural distortion modifies the normal orientation of breast tissue patterns in mammographic images before the formation of masses or tumors. In the initial steps of our methods, the oriented structures in a given mammogram are analyzed using Gabor filters and phase portraits to detect node-like sites of radiating or intersecting tissue patterns. Each detected site is then characterized using the node value, fractal dimension, and a measure of angular dispersion specifically designed to represent spiculating patterns associated with architectural distortion. Our methods were tested with a database of 106 prior mammograms of 56 interval-cancer cases and 52 mammograms of 13 normal cases using the features developed for the characterization of architectural distortion, pattern classification via quadratic discriminant analysis, and validation with the leave-one-patient out procedure. According to the results of free-response receiver operating characteristic analysis, our methods have demonstrated the capability to detect architectural distortion in prior mammograms, taken 15 months (on the average) before clinical diagnosis of breast cancer, with a sensitivity of 80% at about five false positives per patient. PMID:24022326

  10. A combined approach for the enhancement and segmentation of mammograms using modified fuzzy C-means method in wavelet domain.

    PubMed

    Srivastava, Subodh; Sharma, Neeraj; Singh, S K; Srivastava, R

    2014-07-01

    In this paper, a combined approach for enhancement and segmentation of mammograms is proposed. In preprocessing stage, a contrast limited adaptive histogram equalization (CLAHE) method is applied to obtain the better contrast mammograms. After this, the proposed combined methods are applied. In the first step of the proposed approach, a two dimensional (2D) discrete wavelet transform (DWT) is applied to all the input images. In the second step, a proposed nonlinear complex diffusion based unsharp masking and crispening method is applied on the approximation coefficients of the wavelet transformed images to further highlight the abnormalities such as micro-calcifications, tumours, etc., to reduce the false positives (FPs). Thirdly, a modified fuzzy c-means (FCM) segmentation method is applied on the output of the second step. In the modified FCM method, the mutual information is proposed as a similarity measure in place of conventional Euclidian distance based dissimilarity measure for FCM segmentation. Finally, the inverse 2D-DWT is applied. The efficacy of the proposed unsharp masking and crispening method for image enhancement is evaluated in terms of signal-to-noise ratio (SNR) and that of the proposed segmentation method is evaluated in terms of random index (RI), global consistency error (GCE), and variation of information (VoI). The performance of the proposed segmentation approach is compared with the other commonly used segmentation approaches such as Otsu's thresholding, texture based, k-means, and FCM clustering as well as thresholding. From the obtained results, it is observed that the proposed segmentation approach performs better and takes lesser processing time in comparison to the standard FCM and other segmentation methods in consideration. PMID:25190996

  11. A combined approach for the enhancement and segmentation of mammograms using modified fuzzy C-means method in wavelet domain

    PubMed Central

    Srivastava, Subodh; Sharma, Neeraj; Singh, S. K.; Srivastava, R.

    2014-01-01

    In this paper, a combined approach for enhancement and segmentation of mammograms is proposed. In preprocessing stage, a contrast limited adaptive histogram equalization (CLAHE) method is applied to obtain the better contrast mammograms. After this, the proposed combined methods are applied. In the first step of the proposed approach, a two dimensional (2D) discrete wavelet transform (DWT) is applied to all the input images. In the second step, a proposed nonlinear complex diffusion based unsharp masking and crispening method is applied on the approximation coefficients of the wavelet transformed images to further highlight the abnormalities such as micro-calcifications, tumours, etc., to reduce the false positives (FPs). Thirdly, a modified fuzzy c-means (FCM) segmentation method is applied on the output of the second step. In the modified FCM method, the mutual information is proposed as a similarity measure in place of conventional Euclidian distance based dissimilarity measure for FCM segmentation. Finally, the inverse 2D-DWT is applied. The efficacy of the proposed unsharp masking and crispening method for image enhancement is evaluated in terms of signal-to-noise ratio (SNR) and that of the proposed segmentation method is evaluated in terms of random index (RI), global consistency error (GCE), and variation of information (VoI). The performance of the proposed segmentation approach is compared with the other commonly used segmentation approaches such as Otsu's thresholding, texture based, k-means, and FCM clustering as well as thresholding. From the obtained results, it is observed that the proposed segmentation approach performs better and takes lesser processing time in comparison to the standard FCM and other segmentation methods in consideration. PMID:25190996

  12. An improved method for simulating microcalcifications in digital mammograms

    PubMed Central

    Zanca, Federica; Chakraborty, Dev Prasad; Van Ongeval, Chantal; Jacobs, Jurgen; Claus, Filip; Marchal, Guy; Bosmans, Hilde

    2008-01-01

    The assessment of the performance of a digital mammography system requires an observer study with a relatively large number of cases with known truth which is often difficult to assemble. Several investigators have developed methods for generating hybrid abnormal images containing simulated microcalcifications. This article addresses some of the limitations of earlier methods. The new method is based on digital images of needle biopsy specimens. Since the specimens are imaged separately from the breast, the microcalcification attenuation profile scan is deduced without the effects of over and underlying tissues. The resulting templates are normalized for image acquisition specific parameters and reprocessed to simulate microcalcifications appropriate to other imaging systems, with different x-ray, detector and image processing parameters than the original acquisition system. This capability is not shared by previous simulation methods that have relied on extracting microcalcifications from breast images. The method was validated by five experienced mammographers who compared 59 pairs of simulated and real microcalcifications in a two-alternative forced choice task designed to test if they could distinguish the real from the simulated lesions. They also classified the shapes of the microcalcifications according to a standardized clinical lexicon. The observed probability of correct choice was 0.415, 95% confidence interval (0.284, 0.546), showing that the radiologists were unable to distinguish the lesions. The shape classification revealed substantial agreement with the truth (mean kappa=0.70), showing that we were able to accurately simulate the lesion morphology. While currently limited to single microcalcifications, the method is extensible to more complex clusters of microcalcifications and to three-dimensional images. It can be used to objectively assess an imaging technology, especially with respect to its ability to adequately visualize the morphology of the

  13. A half-second glimpse often lets radiologists identify breast cancer cases even when viewing the mammogram of the opposite breast.

    PubMed

    Evans, Karla K; Haygood, Tamara Miner; Cooper, Julie; Culpan, Anne-Marie; Wolfe, Jeremy M

    2016-09-13

    Humans are very adept at extracting the "gist" of a scene in a fraction of a second. We have found that radiologists can discriminate normal from abnormal mammograms at above-chance levels after a half-second viewing (d' ∼ 1) but are at chance in localizing the abnormality. This pattern of results suggests that they are detecting a global signal of abnormality. What are the stimulus properties that might support this ability? We investigated the nature of the gist signal in four experiments by asking radiologists to make detection and localization responses about briefly presented mammograms in which the spatial frequency, symmetry, and/or size of the images was manipulated. We show that the signal is stronger in the higher spatial frequencies. Performance does not depend on detection of breaks in the normal symmetry of left and right breasts. Moreover, above-chance classification is possible using images from the normal breast of a patient with overt signs of cancer only in the other breast. Some signal is present in the portions of the parenchyma (breast tissue) that do not contain a lesion or that are in the contralateral breast. This signal does not appear to be a simple assessment of breast density but rather the detection of the abnormal gist may be based on a widely distributed image statistic, learned by experts. The finding that a global signal, related to disease, can be detected in parenchyma that does not contain a lesion has implications for improving breast cancer detection. PMID:27573841

  14. [Possibilities for modifying risk factors for chromosome abnormalities--advantages of the so-called "triple" marker studies in comparison with pure "maternal age screening"].

    PubMed

    Holzgreve, W; Schloo, R; Veress, L; Schlegel, W; Tercanli, S; Schneider, H P

    1994-01-01

    We have offered the so-called "triple-marker screening" since May 1991 to all patients who came for prenatal care and did not select an invasive procedure primarily. First evaluation of 5210 cases revealed that 3.7% were test-positive for neural tube defects, 13.8% for Down's syndrome and 0.5% for both at the same time. The explanation for the comparatively high "test-positive" rate of 13.5% is the maternal age distribution with the median at 31.4 years. The highest number of women selecting triple-marker determinations was in the age group of 35 years. We detected 16 cases of Down's syndrome and in this group the majority of women was below 35 years. The decision of women to have an invasive procedure was obviously very much influenced by the actual risk assessment, because amniocentesis was chosen by 72/85 (84.8%) of women with a risk of more than 1:50, 192/290 (66.2%) of women in the risk category of 1:51 to 1:200 and 182/333 (54.6%) in the risk category of 1:201 to 1:400. The follow-up is not yet complete, but there is already good evidence for the efficiency of the screening program. Triple-marker screening also proved predictive in 10 cases of trisomy 18 and 8 cases of triploidy in this series. As a cut-off value we chose the risk of 1:386 which is equivalent to the odds of a 35 year old to have a child with Down's syndrome at birth.(ABSTRACT TRUNCATED AT 250 WORDS) PMID:7871918

  15. Use of volumetric features for temporal comparison of mass lesions in full field digital mammograms

    SciTech Connect

    Bozek, Jelena Grgic, Mislav; Kallenberg, Michiel; Karssemeijer, Nico

    2014-02-15

    Purpose: Temporal comparison of lesions might improve classification between benign and malignant lesions in full-field digital mammograms (FFDM). The authors compare the use of volumetric features for lesion classification, which are computed from dense tissue thickness maps, to the use of mammographic lesion area. Use of dense tissue thickness maps for lesion characterization is advantageous, since it results in lesion features that are invariant to acquisition parameters. Methods: The dataset used in the analysis consisted of 60 temporal mammogram pairs comprising 120 mediolateral oblique or craniocaudal views with a total of 65 lesions, of which 41 were benign and 24 malignant. The authors analyzed the performance of four volumetric features, area, and four other commonly used features obtained from temporal mammogram pairs, current mammograms, and prior mammograms. The authors evaluated the individual performance of all features and of different feature sets. The authors used linear discriminant analysis with leave-one-out cross validation to classify different feature sets. Results: Volumetric features from temporal mammogram pairs achieved the best individual performance, as measured by the area under the receiver operating characteristic curve (A{sub z} value). Volume change (A{sub z} = 0.88) achieved higher A{sub z} value than projected lesion area change (A{sub z} = 0.78) in the temporal comparison of lesions. Best performance was achieved with a set that consisted of a set of features extracted from the current exam combined with four volumetric features representing changes with respect to the prior mammogram (A{sub z} = 0.90). This was significantly better (p = 0.005) than the performance obtained using features from the current exam only (A{sub z} = 0.77). Conclusions: Volumetric features from temporal mammogram pairs combined with features from the single exam significantly improve discrimination of benign and malignant lesions in FFDM mammograms

  16. Remote vs. head-mounted eye-tracking: a comparison using radiologists reading mammograms

    NASA Astrophysics Data System (ADS)

    Mello-Thoms, Claudia; Gur, David

    2007-03-01

    Eye position monitoring has been used for decades in Radiology in order to determine how radiologists interpret medical images. Using these devices several discoveries about the perception/decision making process have been made, such as the importance of comparisons of perceived abnormalities with selected areas of the background, the likelihood that a true lesion will attract visual attention early in the reading process, and the finding that most misses attract prolonged visual dwell, often comparable to dwell in the location of reported lesions. However, eye position tracking is a cumbersome process, which often requires the observer to wear a helmet gear which contains the eye tracker per se and a magnetic head tracker, which allows for the computation of head position. Observers tend to complain of fatigue after wearing the gear for a prolonged time. Recently, with the advances made to remote eye-tracking, the use of head-mounted systems seemed destined to become a thing of the past. In this study we evaluated a remote eye tracking system, and compared it to a head-mounted system, as radiologists read a case set of one-view mammograms on a high-resolution display. We compared visual search parameters between the two systems, such as time to hit the location of the lesion for the first time, amount of dwell time in the location of the lesion, total time analyzing the image, etc. We also evaluated the observers' impressions of both systems, and what their perceptions were of the restrictions of each system.

  17. The Association of Social Support and Education with Breast and Cervical Cancer Screening

    ERIC Educational Resources Information Center

    Documet, Patricia; Bear, Todd M.; Flatt, Jason D.; Macia, Laura; Trauth, Jeanette; Ricci, Edmund M.

    2015-01-01

    Background: Disparities in breast and cervical cancer screening by socioeconomic status persist in the United States. It has been suggested that social support may facilitate screening, especially among women of low socioeconomic status. However, at present, it is unclear whether social support enables mammogram and Pap test compliance. Purpose:…

  18. Detection of cancerous masses in mammograms by template matching: optimization of template brightness distribution by means of evolutionary algorithm.

    PubMed

    Bator, Marcin; Nieniewski, Mariusz

    2012-02-01

    Optimization of brightness distribution in the template used for detection of cancerous masses in mammograms by means of correlation coefficient is presented. This optimization is performed by the evolutionary algorithm using an auxiliary mass classifier. Brightness along the radius of the circularly symmetric template is coded indirectly by its second derivative. The fitness function is defined as the area under curve (AUC) of the receiver operating characteristic (ROC) for the mass classifier. The ROC and AUC are obtained for a teaching set of regions of interest (ROIs), for which it is known whether a ROI is true-positive (TP) or false-positive (F). The teaching set is obtained by running the mass detector using a template with a predetermined brightness. Subsequently, the evolutionary algorithm optimizes the template by classifying masses in the teaching set. The optimal template (OT) can be used for detection of masses in mammograms with unknown ROIs. The approach was tested on the training and testing sets of the Digital Database for Screening Mammography (DDSM). The free-response receiver operating characteristic (FROC) obtained with the new mass detector seems superior to the FROC for the hemispherical template (HT). Exemplary results are the following: in the case of the training set in the DDSM, the true-positive fraction (TPF) = 0.82 for the OT and 0.79 for the HT; in the case of the testing set, TPF = 0.79 for the OT and 0.72 for the HT. These values were obtained for disease cases, and the false-positive per image (FPI) = 2.

  19. Combination of conspicuity improved synthetic mammograms and digital breast tomosynthesis: a promising approach for mass detection

    NASA Astrophysics Data System (ADS)

    Kim, Seong Tae; Kim, Dae Hoe; Ro, Yong Man

    2015-03-01

    In this study, a novel mass detection framework that utilizes the information from synthetic mammograms has been developed for detecting masses in digital breast tomosynthesis (DBT). In clinical study, it is demonstrated that the combination of DBT and full field digital mammography (FFDM) increases the reader performance. To reduce the radiation dose in this approach, synthetic mammogram has been developed in previous researches and it is demonstrated that synthetic mammogram can alternate the FFDM when it is used with DBT. In this study, we investigate the feasibility of the combined approach of DBT and synthetic mammogram in point of computer-aided detection (CAD). As a synthetic mammogram, two-dimensional image was generated by adopting conspicuous voxels of three-dimensional DBT volume in our study. The mass likelihood scores estimated for each mass candidates in synthetic mammogram and DBT are merged to differentiate masses and false positives (FPs) in combined approach. We compared the performance of detecting masses in the proposed combined approach and DBT alone. A clinical data set of 196 DBT volumes was used to evaluate the different detection schemes. The combined approach achieved sensitivity of 80% and 89% with 1.16 and 2.37 FPs per DBT volume. The DBT alone approach achieved same sensitivities with 1.61 and 3.46 FPs per DBT volume. Experimental results show that statistically significant improvement (p = 0.002) is achieved in combined approach compared to DBT alone. These results imply that the information fusion of synthetic mammogram and DBT is a promising approach to detect masses in DBT.

  20. A Probabilistic Approach for Breast Boundary Extraction in Mammograms

    PubMed Central

    2013-01-01

    The extraction of the breast boundary is crucial to perform further analysis of mammogram. Methods to extract the breast boundary can be classified into two categories: methods based on image processing techniques and those based on models. The former use image transformation techniques such as thresholding, morphological operations, and region growing. In the second category, the boundary is extracted using more advanced techniques, such as the active contour model. The problem with thresholding methods is that it is a hard to automatically find the optimal threshold value by using histogram information. On the other hand, active contour models require defining a starting point close to the actual boundary to be able to successfully extract the boundary. In this paper, we propose a probabilistic approach to address the aforementioned problems. In our approach we use local binary patterns to describe the texture around each pixel. In addition, the smoothness of the boundary is handled by using a new probability model. Experimental results show that the proposed method reaches 38% and 50% improvement with respect to the results obtained by the active contour model and threshold-based methods respectively, and it increases the stability of the boundary extraction process up to 86%. PMID:24324523

  1. Multiple-instance learning for breast cancer detection in mammograms.

    PubMed

    Sánchez de la Rosa, Rubén; Lamard, Mathieu; Cazuguel, Guy; Coatrieux, Gouenou; Cozic, Michel; Quellec, Gwenolé

    2015-01-01

    This paper describes an experimental computer-aided detection and diagnosis system for breast cancer, the most common form of cancer among women, using mammography. The system relies on the Multiple-Instance Learning (MIL) paradigm, which has proven useful for medical decision support in previous works from our team. In the proposed framework, the breasts are first partitioned adaptively into regions. Then, either textural features, or features derived from the detection of masses and microcalcifications, are extracted from each region. Finally, feature vectors extracted from each region are combined using an MIL algorithm (Citation k-NN or mi-Graph), in order to recognize "normal" mammography examinations or to categorize examinations as "normal", "benign" or "cancer". An accuracy of 91.1% (respectively 62.1%) was achieved for normality recognition (respectively three-class categorization) in a subset of 720 mammograms from the DDSM dataset. The paper also discusses future improvements, that will make the most of the MIL paradigm, in order to improve "benign" versus "cancer" discrimination in particular. PMID:26737917

  2. Correlates of mammography screening among Hispanic women living in lower Rio Grande Valley farmworker communities.

    PubMed

    Palmer, Richard C; Fernandez, Maria E; Tortolero-Luna, Guillermo; Gonzales, Alicia; Mullen, Patricia Dolan

    2005-08-01

    Factors contributing to the underuse of mammography screening by female Hispanic farmworkers aged 50 years and older in the Lower Rio Grande Valley were determined through home-based, Spanish-language personal interviews (N = 200). Questions covered adherence to screening mammography guidelines (mammogram within 2 years), healthcare access, sociodemographic characteristics, and theoretical constructs related to breast cancer screening in the literature. Multivariate findings indicated that adherent women were 3.6 times more likely to have health insurance. Self-efficacy for obtaining a mammogram and decisional balance were also significantly related to adherence; age, income, and education variables were not associated, perhaps because of restricted variation. Results indicate continuing efforts are needed to ensure that medically underserved migrant farmworker women have access to health care services. In addition, efforts to increase their self-efficacy in obtaining a mammogram and to counter negative attitudes and opinions by stressing the positive prognosis associated with early detection are warranted.

  3. In silico screening of the impact of hERG channel kinetic abnormalities on channel block and susceptibility to acquired long QT syndrome

    PubMed Central

    Romero, Lucia; Trenor, Beatriz; Yang, Pei-Chi; Saiz, Javier; Clancy, Colleen E.

    2016-01-01

    Accurate diagnosis of predisposition to long QT syndrome is crucial for reducing the risk of cardiac arrhythmias. In recent years, drug-induced provocative tests have proved useful to unmask some latent mutations linked to cardiac arrhythmias. In this study we expanded this concept by developing a prototype for a computational provocative screening test to reveal genetic predisposition to acquired long-QT syndrome (aLQTS). We developed a computational approach to reveal the pharmacological properties of IKr blocking drugs that are most likely to cause aLQTS in the setting of subtle alterations in IKr channel gating that would be expected to result from benign genetic variants. We used the model to predict the most potentially lethal combinations of kinetic anomalies and drug properties. In doing so, we also implicitly predicted ideal inverse therapeutic properties of K channel openers that would be expected to remedy a specific defect. We systematically performed “in silico mutagenesis” by altering discrete kinetic transition rates of the Fink et al. Markov model of human IKr channels, corresponding to activation, inactivation, deactivation and recovery from inactivation of IKr channels. We then screened and identified the properties of IKr blockers that caused acquired long QT and therefore unmasked mutant phenotypes for mild, moderate and severe variants. Mutant IKr channels were incorporated into the O'Hara et al. human ventricular action potential (AP) model and subjected to simulated application of a wide variety of IKr–drug interactions in order to identify the characteristics that selectively exacerbate the AP duration (APD) differences between wild-type and IKr mutated cells. Our results show that drugs with disparate affinities to conformation states of the IKr channel are key to amplify variants underlying susceptibility to acquired long QT syndrome, an effect that is especially pronounced at slow frequencies. Finally, we developed a mathematical

  4. In silico screening of the impact of hERG channel kinetic abnormalities on channel block and susceptibility to acquired long QT syndrome

    PubMed Central

    Romero, Lucia; Trenor, Beatriz; Yang, Pei-Chi; Saiz, Javier; Clancy, Colleen E.

    2014-01-01

    Accurate diagnosis of predisposition to long QT syndrome is crucial for reducing the risk of cardiac arrhythmias. In recent years, drug-induced provocative tests have proved useful to unmask some latent mutations linked to cardiac arrhythmias. In this study we expanded this concept by developing a prototype for a computational provocative screening test to reveal genetic predisposition to acquired Long-QT Syndrome (aLTQS). We developed a computational approach to reveal the pharmacological properties of IKr blocking drugs that are most likely to cause aLQTS in the setting of subtle alterations in IKr channel gating that would be expected to result from benign genetic variants. We used the model to predict the most potentially lethal combinations of kinetic anomalies and drug properties. In doing so, we also implicitly predicted ideal inverse therapeutic properties of K channel openers that would be expected to remedy a specific defect. We systematically performed “in silico mutagenesis” by altering discrete kinetic transition rates of the Fink et al. Markov model of human IKr channels, corresponding to activation, inactivation, deactivation and recovery from inactivation of IKr channels. We then screened and identified the properties of IKr blockers that caused acquired Long QT and therefore unmasked mutant phenotypes for mild, moderate and severe variants. Mutant IKr channels were incorporated into the O’Hara et al. human ventricular action potential (AP) model and subjected to simulated application of a wide variety of IKr-drug interactions in order to identify the characteristics that selectively exacerbate the AP duration (APD) differences between wild-type and IKr mutated cells. Our results show that drugs with disparate affinities to conformation states of the IKr channel are key to amplify variants underlying susceptibility to acquired Long QT Syndrome, an effect that is especially pronounced at slow frequencies. Finally, we developed a mathematical

  5. In silico screening of the impact of hERG channel kinetic abnormalities on channel block and susceptibility to acquired long QT syndrome.

    PubMed

    Romero, Lucia; Trenor, Beatriz; Yang, Pei-Chi; Saiz, Javier; Clancy, Colleen E

    2014-07-01

    Accurate diagnosis of predisposition to long QT syndrome is crucial for reducing the risk of cardiac arrhythmias. In recent years, drug-induced provocative tests have proved useful to unmask some latent mutations linked to cardiac arrhythmias. In this study we expanded this concept by developing a prototype for a computational provocative screening test to reveal genetic predisposition to acquired long-QT syndrome (aLQTS). We developed a computational approach to reveal the pharmacological properties of IKr blocking drugs that are most likely to cause aLQTS in the setting of subtle alterations in IKr channel gating that would be expected to result from benign genetic variants. We used the model to predict the most potentially lethal combinations of kinetic anomalies and drug properties. In doing so, we also implicitly predicted ideal inverse therapeutic properties of K channel openers that would be expected to remedy a specific defect. We systematically performed "in silico mutagenesis" by altering discrete kinetic transition rates of the Fink et al. Markov model of human IKr channels, corresponding to activation, inactivation, deactivation and recovery from inactivation of IKr channels. We then screened and identified the properties of IKr blockers that caused acquired long QT and therefore unmasked mutant phenotypes for mild, moderate and severe variants. Mutant IKr channels were incorporated into the O'Hara et al. human ventricular action potential (AP) model and subjected to simulated application of a wide variety of IKr-drug interactions in order to identify the characteristics that selectively exacerbate the AP duration (APD) differences between wild-type and IKr mutated cells. Our results show that drugs with disparate affinities to conformation states of the IKr channel are key to amplify variants underlying susceptibility to acquired long QT syndrome, an effect that is especially pronounced at slow frequencies. Finally, we developed a mathematical

  6. Estimation of corresponding locations in ipsilateral mammograms: a comparison of different methods

    NASA Astrophysics Data System (ADS)

    Wilms, Matthias; Krüger, Julia; Marx, Mirko; Ehrhardt, Jan; Bischof, Arpad; Handels, Heinz

    2015-03-01

    Mammography is a standard tool for breast cancer diagnosis. In current clinical practice, typically two mammograms of each breast are taken from different angles. A fundamental step when using ipsilateral mammograms for the diagnosis of breast cancer, is the identification of corresponding locations/structures in both views, which is a very challenging task due to the projective nature of the images and the different compression parameters used for each view. In this contribution, four different approaches for the estimation of corresponding locations in ipsilateral mammograms are systematically compared using 46 mammogram pairs (50 point-to-point correspondences). The evaluation includes simple heuristic methods (annular bands and straight strips) as well as methods based on geometric and physically motivated breast compression models, which aim to simulate the mammogram acquisition process. The evaluation results show that on average no significant differences exist between the estimation accuracies obtained using the simple heuristic methods and the more involved compression models. However, the results of this study indicate the potential of a method that optimally combines the different approaches.

  7. INDIAM--an e-learning system for the interpretation of mammograms.

    PubMed

    Guliato, Denise; Bôaventura, Ricardo S; Maia, Marcelo A; Rangayyan, Rangaraj M; Simedo, Mariângela S; Macedo, Túlio A A

    2009-08-01

    We propose the design of a teaching system named Interpretation and Diagnosis of Mammograms (INDIAM) for training students in the interpretation of mammograms and diagnosis of breast cancer. The proposed system integrates an illustrated tutorial on radiology of the breast, that is, mammography, which uses education techniques to guide the user (doctors, students, or researchers) through various concepts related to the diagnosis of breast cancer. The user can obtain informative text about specific subjects, access a library of bibliographic references, and retrieve cases from a mammographic database that are similar to a query case on hand. The information of each case stored in the mammographic database includes the radiological findings, the clinical history, the lifestyle of the patient, and complementary exams. The breast cancer tutorial is linked to a module that simulates the analysis and diagnosis of a mammogram. The tutorial incorporates tools for helping the user to evaluate his or her knowledge about a specific subject by using the education system or by simulating a diagnosis with appropriate feedback in case of error. The system also makes available digital image processing tools that allow the user to draw the contour of a lesion, the contour of the breast, or identify a cluster of calcifications in a given mammogram. The contours provided by the user are submitted to the system for evaluation. The teaching system is integrated with AMDI-An Indexed Atlas of Digital Mammograms-that includes case studies, e-learning, and research systems. All the resources are accessible via the Web.

  8. Visual words based approach for tissue classification in mammograms

    NASA Astrophysics Data System (ADS)

    Diamant, Idit; Goldberger, Jacob; Greenspan, Hayit

    2013-02-01

    The presence of Microcalcifications (MC) is an important indicator for developing breast cancer. Additional indicators for cancer risk exist, such as breast tissue density type. Different methods have been developed for breast tissue classification for use in Computer-aided diagnosis systems. Recently, the visual words (VW) model has been successfully applied for different classification tasks. The goal of our work is to explore VW based methodologies for various mammography classification tasks. We start with the challenge of classifying breast density and then focus on classification of normal tissue versus Microcalcifications. The presented methodology is based on patch-based visual words model which includes building a dictionary for a training set using local descriptors and representing the image using a visual word histogram. Classification is then performed using k-nearest-neighbour (KNN) and Support vector machine (SVM) classifiers. We tested our algorithm on the MIAS and DDSM publicly available datasets. The input is a representative region-of-interest per mammography image, manually selected and labelled by expert. In the tissue density task, classification accuracy reached 85% using KNN and 88% using SVM, which competes with the state-of-the-art results. For MC vs. normal tissue, accuracy reached 95.6% using SVM. Results demonstrate the feasibility to classify breast tissue using our model. Currently, we are improving the results further while also investigating VW capability to classify additional important mammogram classification problems. We expect that the methodology presented will enable high levels of classification, suggesting new means for automated tools for mammography diagnosis support.

  9. Consequences of a false-positive mammography result: drug consumption before and after screening.

    PubMed

    von Euler-Chelpin, My; Bæksted, Christina; Vejborg, Ilse; Lynge, Elsebeth

    2016-05-01

    Background Previous research showed women experiencing false-positive mammograms to have greater anxiety about breast cancer than women with normal mammograms. To elucidate psychological effects of false-positive mammograms, we studied impact on drug intake. Methods We calculated the ratio of drug use for women with false-positive versus women with normal mammograms, before and after the event, using population-based registers, 1997-2006. The ratio of the ratios (RRR) assessed the impact. Results Before the test, 40.3% of women from the false-positive group versus 36.2% from the normal group used anxiolytic and antidepressant drugs. There was no difference in use of beta blockers. Hormone therapy was used more frequently by the false-positive, 36.6% versus 28.7%. The proportion of women using anxiolytic and antidepressant drugs increased with 19% from the before to the after period in the false-positive group, and with 16% in the normal group, resulting in an RRR of 1.02 (95% CI 0.92-1.14). RRR was 1.03 for beta blockers, 0.97 for hormone therapy. Conclusion(s) Drugs used to mitigate mood disorders were used more frequently by women with false-positive than by women with normal mammograms already before the screening event, while the changes from before to after screening were similar for both groups. The results point to the importance of control for potential selection in studies of screening effects.

  10. The effectiveness of the cranio-caudal mammogram projection among radiologists

    NASA Astrophysics Data System (ADS)

    Trieu, Phuong Dung (Yun); Lee, Warwick; Tapia, Kriscia; Brennan, Patrick

    2016-03-01

    This study aims to investigate the effectiveness of the single cranio-caudal (CC) mammogram in comparison with traditional two projection mammography for breast cancer detection. Sixteen radiologists were invited to report 60 two-projection (MLO and CC) mammograms of the left and right breasts of which 20 cases contained cancer. Participants searched for the presence of breast lesion(s) on each view and provided a confidence score. Sensitivity, lesion sensitivity and specificity were compared between the CC projection versus the two projection approach among different groups of readers. Results showed that expert readers needed only single CC mammogram in their reading while non-expert readers required two-projection mammography.

  11. Adaptation of multifractal analysis to segmentation of microcalcifications in digital mammograms

    NASA Astrophysics Data System (ADS)

    Stojić, Tomislav; Reljin, Irini; Reljin, Branimir

    2006-07-01

    A method for detecting microcalcifications in digital mammograms is proposed. After recognizing basic features of microcalcifications we introduced several modifications in multifractal analysis, obtaining an efficient method adapted to enhance only small light parts not belonging to surrounding tissue, possibly microcalcifications. Started with a mammogram image, a method creates corresponding multifractal image from which a radiologist has the freedom to change the level of segmentation in an interactive manner and to find suspicious regions, which may contain microcalcifications. Additional postprocessing, based on mathematical morphology, refines the procedure by selecting and outlining regions that contain clusters with microcalcifications. The proposed method was tested through referent mammograms from MiniMIAS database, which is available at public domain. The proposed method successfully extracted microcalcifications in all (clinically approved) cases belonging to this database.

  12. Classification of breast abnormalities using artificial neural network

    NASA Astrophysics Data System (ADS)

    Zaman, Nur Atiqah Kamarul; Rahman, Wan Eny Zarina Wan Abdul; Jumaat, Abdul Kadir; Yasiran, Siti Salmah

    2015-05-01

    Classification is the process of recognition, differentiation and categorizing objects into groups. Breast abnormalities are calcifications which are tumor markers that indicate the presence of cancer in the breast. The aims of this research are to classify the types of breast abnormalities using artificial neural network (ANN) classifier and to evaluate the accuracy performance using receiver operating characteristics (ROC) curve. The methods used in this research are ANN for breast abnormalities classifications and Canny edge detector as a feature extraction method. Previously the ANN classifier provides only the number of benign and malignant cases without providing information for specific cases. However in this research, the type of abnormality for each image can be obtained. The existing MIAS MiniMammographic database classified the mammogram images into three features only namely characteristic of background tissues, class of abnormality and radius of abnormality. However, in this research three other features are added-in. These three features are number of spots, area and shape of abnormalities. Lastly the performance of the ANN classifier is evaluated using ROC curve. It is found that ANN has an accuracy of 97.9% which is considered acceptable.

  13. The Nonsubsampled Contourlet Transform for Enhancement of Microcalcifications in Digital Mammograms

    NASA Astrophysics Data System (ADS)

    Muñoz, Jose Manuel Mejía; de J. Ochoa Domínguez, Humberto; Villegas, Osslan Osiris Vergara; Sánchez, Vianey Guadalupe Cruz; Maynez, Leticia Ortega

    Microcalcifications detection plays a crucial role in the early detection of breast cancer. The enhancement of the mammographic images is one of the most important tasks during the detection process. This paper presents an algorithm for the enhancement of microcalcifications in digital mammograms. The main novelty is the application of the nonsubsampled contourlet transform and a specific edge filter to enhance the directional structures of the image in the contourlet domain. The inverse contourlet transform is applied to recover an approximation of the mammogram with the microcalcifications enhanced. Results show that the proposed method outperforms the current method based on the discrete wavelet transform.

  14. TU-F-18C-09: Mammogram Surveillance Using Texture Analysis for Breast Cancer Patients After Radiation Therapy

    SciTech Connect

    Kuo, H; Tome, W; FOX, J; Hong, L; Yaparpalvi, R; Mehta, K; Bodner, W; Kalnicki, S

    2014-06-15

    Purpose: To study the feasibility of applying cancer risk model established from treated patients to predict the risk of recurrence on follow-up mammography after radiation therapy for both ipsilateral and contralateral breast. Methods: An extensive set of textural feature functions was applied to a set of 196 Mammograms from 50 patients. 56 Mammograms from 28 patients were used as training set, 44 mammograms from 22 patients were used as test set and the rest were used for prediction. Feature functions include Histogram, Gradient, Co-Occurrence Matrix, Run-Length Matrix and Wavelet Energy. An optimum subset of the feature functions was selected by Fisher Coefficient (FO) or Mutual Information (MI) (up to top 10 features) or a method combined FO, MI and Principal Component (FMP) (up to top 30 features). One-Nearest Neighbor (1-NN), Linear Discriminant Analysis (LDA) and Nonlinear Discriminant Analysis (NDA) were utilized to build a risk model of breast cancer from the training set of mammograms at the time of diagnosis. The risk model was then used to predict the risk of recurrence from mammogram taken one year and three years after RT. Results: FPM with NDA has the best classification power in classifying the training set of the mammogram with lesions versus those without lesions. The model of FPM with NDA achieved a true positive (TP) rate of 82% compared to 45.5% of using FO with 1-NN. The best false positive (FP) rates were 0% and 3.6% in contra-lateral breast of 1-year and 3-years after RT, and 10.9% in ipsi-lateral breast of 3-years after RT. Conclusion: Texture analysis offers high dimension to differentiate breast tissue in mammogram. Using NDA to classify mammogram with lesion from mammogram without lesion, it can achieve rather high TP and low FP in the surveillance of mammogram for patient with conservative surgery combined RT.

  15. Comparison of three tissue composition measurement techniques using digital mammograms--a signal-to-noise study.

    PubMed

    Breitenstein, D S; Shaw, C C

    1998-08-01

    Tissue composition measurement may provide a quantitatively and physically meaningful method to objectively determine the "mammographic density" linked to breast cancer risk. A single energy hybrid (SEH) techniques is described for measuring the tissue composition on a pixel-by-pixel basis with a single digital mammogram. Theoretical models were derived and used to compute signal-to-noise ratios (SNRs) in tissue composition measurement using the SEH method. The results were compared with those computed for measurements using the dual kVp and dual screen methods. SNRs were theoretically related to the pixel area, total unattenuated detector exposure and fluence spectra of the incident X-rays. SNRs were computed for measurement of the adipose tissue thickness for a 6 cm thick breast, consisting of 50% of adipose tissue and 50% of glandular tissue. Effects of kVp and prepatient filtration were studied by computing the SNRs for various kVps and filters and optimal kVps and filters are determined. The results showed that the SNRs obtained with the SEH method is an order of magnitude better than the dual kVp method, which, in turn, is an order of magnitude better than the dual screen method. When using the optimal kVp's and no prepatient filtration, the SNRs were computed to be 84.2, 13.2, and 2.0 for the SEH, dual kVp, and dual screen methods, respectively. Prepatient filtration can improve the SNR by as much as 35% for the dual kVp and dual screen techniques with reasonable tube loading factors (8-10). PMID:9718504

  16. Fuzzy technique for microcalcifications clustering in digital mammograms

    PubMed Central

    2014-01-01

    Background Mammography has established itself as the most efficient technique for the identification of the pathological breast lesions. Among the various types of lesions, microcalcifications are the most difficult to identify since they are quite small (0.1-1.0 mm) and often poorly contrasted against an images background. Within this context, the Computer Aided Detection (CAD) systems could turn out to be very useful in breast cancer control. Methods In this paper we present a potentially powerful microcalcifications cluster enhancement method applicable to digital mammograms. The segmentation phase employs a form filter, obtained from LoG filter, to overcome the dependence from target dimensions and to optimize the recognition efficiency. A clustering method, based on a Fuzzy C-means (FCM), has been developed. The described method, Fuzzy C-means with Features (FCM-WF), was tested on simulated clusters of microcalcifications, implying that the location of the cluster within the breast and the exact number of microcalcifications are known. The proposed method has been also tested on a set of images from the mini-Mammographic database provided by Mammographic Image Analysis Society (MIAS) publicly available. Results The comparison between FCM-WF and standard FCM algorithms, applied on both databases, shows that the former produces better microcalcifications associations for clustering than the latter: with respect to the private and the public database we had a performance improvement of 10% and 5% with regard to the Merit Figure and a 22% and a 10% of reduction of false positives potentially identified in the images, both to the benefit of the FCM-WF. The method was also evaluated in terms of Sensitivity (93% and 82%), Accuracy (95% and 94%), FP/image (4% for both database) and Precision (62% and 65%). Conclusions Thanks to the private database and to the informations contained in it regarding every single microcalcification, we tested the developed clustering

  17. Concordance of population-based estimates of mammography screening

    PubMed Central

    Boudreau, Denise M.; Luce, Casey L.; Ludman, Evette; Bonomi, Amy E.; Fishman, Paul A.

    2007-01-01

    Objective Estimates of adherence to mammography screening guidelines vary, in part, due to lack of consensus on defining adherence. This study estimated adherence to repeat (two successive on-time screenings) and regular screening (three or more successive screenings) and evaluated the impact of varying operational definitions and evaluation periods. Methods The study included women aged 50–80 without a history of breast cancer who: were on a biennial screening cycle and due for a screening mammogram between 1995 and 1996; underwent screening (index date) in response to a reminder letter; and belonged to Group Health, an integrated health care delivery system in Washington State, for six or more years after the index date. Automated records provided information on enrollment, health care utilization, and procedures. Results Among 1336 women, 67–82% experienced a repeat screen. Adherence to regular screening over the six year evaluation period was 42–84%—and higher with longer allowable intervals between screenings, when definitions did not require on-schedule screenings, when intervals were reset after a diagnostic mammogram, and for shorter evaluation periods. Conclusion Estimates of adherence to screening guidelines varied by the operational definition of “success” and time period of evaluation. Consensus in definitions and terminology is needed to compare evaluations. PMID:17698182

  18. Breast density measurement: 3D cone beam computed tomography (CBCT) images versus 2D digital mammograms

    NASA Astrophysics Data System (ADS)

    Han, Tao; Lai, Chao-Jen; Chen, Lingyun; Liu, Xinming; Shen, Youtao; Zhong, Yuncheng; Ge, Shuaiping; Yi, Ying; Wang, Tianpeng; Yang, Wei T.; Shaw, Chris C.

    2009-02-01

    Breast density has been recognized as one of the major risk factors for breast cancer. However, breast density is currently estimated using mammograms which are intrinsically 2D in nature and cannot accurately represent the real breast anatomy. In this study, a novel technique for measuring breast density based on the segmentation of 3D cone beam CT (CBCT) images was developed and the results were compared to those obtained from 2D digital mammograms. 16 mastectomy breast specimens were imaged with a bench top flat-panel based CBCT system. The reconstructed 3D CT images were corrected for the cupping artifacts and then filtered to reduce the noise level, followed by using threshold-based segmentation to separate the dense tissue from the adipose tissue. For each breast specimen, volumes of the dense tissue structures and the entire breast were computed and used to calculate the volumetric breast density. BI-RADS categories were derived from the measured breast densities and compared with those estimated from conventional digital mammograms. The results show that in 10 of 16 cases the BI-RADS categories derived from the CBCT images were lower than those derived from the mammograms by one category. Thus, breasts considered as dense in mammographic examinations may not be considered as dense with the CBCT images. This result indicates that the relation between breast cancer risk and true (volumetric) breast density needs to be further investigated.

  19. Fractal dimension-bound spatio-temporal analysis of digital mammograms

    NASA Astrophysics Data System (ADS)

    Shanmugavadivu, P.; Sivakumar, V.; Sudhir, Rashmi

    2016-02-01

    A new Fractal Dimension-based diagnosis technique for the change detection and time-series analysis of masses in the temporal digital mammogram is presented in this paper. As the digital mammograms are confirmed as a reliable source for the prognosis of breast cancer, the demand for the development of precise computer aided detection techniques is constantly on the increase. This formed the basis for the development of this method using Fractal geometry, which is an efficient mathematical approach that deals with self-similar and irregular geometric objects called fractals. This work comprises of the detection of spatial masses using Fractal Hurst bound enhancement and segmentation of those temporal masses using Fractal Thresholding. The consultant radiologist's assessment of mass lesions forms the baseline for comparison and validation of the detected masses. Further, this research work performs temporal analysis of mass lesions, detected from the mammograms of the current and the respective prior view using the principle of Fractal Dimension. The precision of Fractal-dimension based temporal texture analysis of malignant masses of digital mammograms subsequently attributes to their characterization.

  20. Bayesian Classifier with Simplified Learning Phase for Detecting Microcalcifications in Digital Mammograms

    PubMed Central

    Zyout, Imad; Abdel-Qader, Ikhlas; Jacobs, Christina

    2009-01-01

    Detection of clustered microcalcifications (MCs) in mammograms represents a significant step towards successful detection of breast cancer since their existence is one of the early signs of cancer. In this paper, a new framework that integrates Bayesian classifier and a pattern synthesizing scheme for detecting microcalcification clusters is proposed. This proposed work extracts textural, spectral, and statistical features of each input mammogram and generates models of real MCs to be used as training samples through a simplified learning phase of the Bayesian classifier. Followed by an estimation of the classifier's decision function parameters, a mammogram is segmented into the identified targets (MCs) against background (healthy tissue). The proposed algorithm has been tested using 23 mammograms from the mini-MIAS database. Experimental results achieved MCs detection with average true positive (sensitivity) and false positive (specificity) of 91.3% and 98.6%, respectively. Results also indicate that the modeling of the real MCs plays a significant role in the performance of the classifier and thus should be given further investigation. PMID:20119490

  1. Shape-based and texture-based feature extraction for classification of microcalcifications in mammograms

    NASA Astrophysics Data System (ADS)

    Soltanian-Zadeh, Hamid; Pourabdollah-Nezhad, Siamak; Rafiee Rad, Farshid

    2001-07-01

    This paper presents and compares two image processing methods for differentiating benign from malignant microcalcifications in mammograms. The gold standard method for differentiating benign from malignant microcalcifications is biopsy, which is invasive. The goal of the proposed methods is to reduce rate of biopsies with negative results. In the first method, we extract 17 shape features from each mammogram. These features are related to shapes of individual microcalcifications or to their clusters. In the second method, we extract 44 texture features from each mammogram using co-occurrence method of Haralick. Next, we select best features from each set using a genetic algorithm, to maximize area under ROC curve. This curve is created using a k-nearest neighbor (kNN) classifier and a malignancy criterion. Finally, we evaluate the methods by comparing ROC's with greatest areas obtained using each method. We applied the proposed methods, with different values of k in kNN classifier, to 74 malignant and 29 benign microcalcification clusters. Truth for each mammogram was established based on the biopsy results. We found greatest area under ROC curve for each set of features used in each method. For shape features this area was 0.82 (k = 7) and for Haralick features it was 0.72(k=9).

  2. A new fast fractal modeling approach for the detection of microcalcifications in mammograms.

    PubMed

    Sankar, Deepa; Thomas, Tessamma

    2010-10-01

    In this paper, a novel fast method for modeling mammograms by deterministic fractal coding approach to detect the presence of microcalcifications, which are early signs of breast cancer, is presented. The modeled mammogram obtained using fractal encoding method is visually similar to the original image containing microcalcifications, and therefore, when it is taken out from the original mammogram, the presence of microcalcifications can be enhanced. The limitation of fractal image modeling is the tremendous time required for encoding. In the present work, instead of searching for a matching domain in the entire domain pool of the image, three methods based on mean and variance, dynamic range of the image blocks, and mass center features are used. This reduced the encoding time by a factor of 3, 89, and 13, respectively, in the three methods with respect to the conventional fractal image coding method with quad tree partitioning. The mammograms obtained from The Mammographic Image Analysis Society database (ground truth available) gave a total detection score of 87.6%, 87.6%, 90.5%, and 87.6%, for the conventional and the proposed three methods, respectively.

  3. Increasing screening mammography among immigrant and minority women in Canada: a review of past interventions.

    PubMed

    Schoueri-Mychasiw, Nour; Campbell, Sharon; Mai, Verna

    2013-02-01

    Screening mammograms are important to detect breast cancer at earlier and more treatable stages. Immigrant and minority women report low participation rates due to barriers related to cultural beliefs and norms, privacy/modesty, and language. This review examines whether screening mammogram interventions in Canada and other countries with comparable health-care systems have addressed the needs of these women. Our systematic literature search identified studies that focused on increasing screening mammogram participation among immigrant and/or minority women. We used the Health Belief Model and the PRECEDE-PROCEED Model to guide our critical synthesis of the reviewed interventions and the recommendations for the future. Eight studies met the search criteria. Overall, interventions showed some increase in mammogram participation rates. The barriers targeted were relatively similar across studies and there was a focus on increasing cues to screening. This review illustrates that it is essential to develop and implement programs to overcome the unique barriers to screening mammography if we are to increase participation among immigrants and minority women. We suggest other potentially effective health promotion strategies as a starting point for discussion and future research.

  4. Second Trimester Maternal Serum Screening

    MedlinePlus

    ... Screen Related tests: hCG Pregnancy ; Estrogens ; First Trimester Down Syndrome Screen ; Amniotic Fluid Analysis ; Chromosome Analysis Were you ... that a fetus has certain chromosomal abnormalities, including Down syndrome (trisomy 21) or Edwards syndrome (trisomy 18) , or ...

  5. Effect of e-mail versus postal reminders for mammogram screening.

    PubMed

    Chaudhry, Rajeev; Cabanela, Rosa; Rahman, Ahmed; McMurtry, Erin; Leutink, Dorinda; Scheitel, Sidna; Naessens, James M

    2006-01-01

    A randomized controlled trial was undertaken to measure the efficacy of a patient reminder system for females age 40 - 75 in a Midwestern primary care practice. A subset of the population whose email addresses were known was further randomized to measure the effect of email versus postal reminders. A statistically significant increase in completion rates was observed in the intervention group while no difference was found between the email and postal mail groups.

  6. Computer-aided detection of breast masses on mammograms: performance improvement using a dual system

    NASA Astrophysics Data System (ADS)

    Wei, Jun; Sahiner, Berkman; Hadjiiski, Lubomir M.; Chan, Heang-Ping; Helvie, Mark A.; Roubidoux, Marilyn A.; Petrick, Nicholas; Ge, Jun; Zhou, Chuan

    2005-04-01

    We have developed a computer-aided detection (CAD) system for breast masses on mammograms. In this study, our purpose was to improve the performance of our mass detection system by using a new dual system approach which combines a CAD system optimized with "average" masses with another CAD system optimized with subtle masses. The latter system is trained to provide high sensitivity in detecting subtle masses. For an unknown mammogram, the two systems are used in parallel to detect suspicious objects. A feed-forward backpropagation neural network trained to merge the scores of the two linear discriminant analysis (LDA) classifiers from the two systems makes the final decision in differentiation of true masses from normal tissue. A data set of 86 patients containing 172 mammograms with biopsy-proven masses was partitioned into a training set and an independent test set. This data set is referred to as the average data set. A second data set of 214 prior mammograms was used for training the second CAD system for detection of subtle masses. When the single CAD system trained on the average data set was applied to the test set, the Az for false positive (FP) classification was 0.81 and the FP rates were 2.1, 1.5 and 1.3 FPs/image at the case-based sensitivities of 95%, 90% and 85%, respectively. With the dual CAD system, the Az was 0.85 and the FP rates were improved to 1.7, 1.2 and 0.8 FPs/image at the same case-based sensitivities. Our results indicate that the dual CAD system can improve the performance of mass detection on mammograms.

  7. Investigation of psychophysical similarity measures for selection of similar images in the diagnosis of clustered microcalcifications on mammograms

    SciTech Connect

    Muramatsu, Chisako; Li Qiang; Schmidt, Robert; Shiraishi, Junji; Doi, Kunio

    2008-12-15

    The presentation of images with lesions of known pathology that are similar to an unknown lesion may be helpful to radiologists in the diagnosis of challenging cases for improving the diagnostic accuracy and also for reducing variation among different radiologists. The authors have been developing a computerized scheme for automatically selecting similar images with clustered microcalcifications on mammograms from a large database. For similar images to be useful, they must be similar from the point of view of the diagnosing radiologists. In order to select such images, subjective similarity ratings were obtained for a number of pairs of clustered microcalcifications by breast radiologists for establishment of a ''gold standard'' of image similarity, and the gold standard was employed for determination and evaluation of the selection of similar images. The images used in this study were obtained from the Digital Database for Screening Mammography developed by the University of South Florida. The subjective similarity ratings for 300 pairs of images with clustered microcalcifications were determined by ten breast radiologists. The authors determined a number of image features which represent the characteristics of clustered microcalcifications that radiologists would use in their diagnosis. For determination of objective similarity measures, an artificial neural network (ANN) was employed. The ANN was trained with the average subjective similarity ratings as teacher and selected image features as input data. The ANN was trained to learn the relationship between the image features and the radiologists' similarity ratings; therefore, once the training was completed, the ANN was able to determine the similarity, called a psychophysical similarity measure, which was expected to be close to radiologists' impressions, for an unknown pair of clustered microcalcifications. By use of a leave-one-out test method, the best combination of features was selected. The correlation

  8. Screening for Cervical Cancer

    MedlinePlus

    ... of these tests as well as the possible harms, both of which are explained below. This fact ... after receiving abnormal test results. Benefits and Possible Harms The main benefit of screening is that it ...

  9. American Indian Women and Screening Mammography: Findings from a Qualitative Study in Oklahoma

    ERIC Educational Resources Information Center

    Tolma, Eleni; Batterton, Chasity; Hamm, Robert M.; Thompson, David; Engelman, Kimberly K.

    2012-01-01

    Background: Breast cancer is an important public health issue within the American Indian (AI) community in Oklahoma; however, there is limited information to explain the low screening mammography rates among AI women. Purpose: To identify the motivational factors affecting an AI woman's decision to obtain a mammogram. Methods: Through the use of…

  10. Maintaining quality in the UK breast screening program

    NASA Astrophysics Data System (ADS)

    Gale, Alastair

    2010-02-01

    Breast screening in the UK has been implemented for over 20 years and annually nearly two million women are now screened with an estimated 1,400 lives saved. Nationally, some 700 individuals interpret screening mammograms in almost 110 screening centres. Currently, women aged 50 to 70 are invited for screening every three years and by 2012 this age range will increase to 47 - 73 years. There is a rapid ongoing transition from using film mammograms to full field digital mammography such that in 2010 every screening centre will be partly digital. An early, and long running, concern has been how to ensure the highest quality of imaging interpretation across the UK, an issue enhanced by the use of a three year screening interval. To partly address this question a self assessment scheme was developed in 1988 and subsequently implemented nationally in the UK as a virtually mandatory activity. The scheme is detailed from its beginnings, through its various developments to current incarnation and future plans. This encompasses both radiological (single view screening, two view screening, mammographic film and full field digital mammography) as well as design changes (cases reported by means of: form filling; PDA; tablet PC; iPhone, and the internet). The scheme provides a rich data source which is regularly studied to examine different aspects of radiological performance. Overall it aids screening radiologists by giving them regular access to a range of difficult exemplar cases together with feedback on their performance as compared to their peers.

  11. Reconstruction-by-Dilation and Top-Hat Algorithms for Contrast Enhancement and Segmentation of Microcalcifications in Digital Mammograms

    NASA Astrophysics Data System (ADS)

    Diaz, Claudia C.

    2007-11-01

    I present some results of contrast enhancement and segmentation of microcalcifications in digital mammograms. These mammograms were obtained from MIAS-minidatabase and using a CR to digitize images. White-top-hat and black-top-hat transformations were used to improve the contrast of images, while reconstruction-by-dilation algorithm was used to emphasize the microcalcifications over the tissues. Segmentation was done using different gradient matrices. These algorithms intended to show some details which were not evident in original images.

  12. Breast Cancer Screening Use by African Americans and Whites in an HMO

    PubMed Central

    Reisch, Lisa M; Barton, Mary B; Fletcher, Suzanne W; Kreuter, William; Elmore, Joann G

    2000-01-01

    OBJECTIVE To examine racial differences in breast cancer screening in an HMO that provides screening at no cost. DESIGN Retrospective cohort study of breast cancer screening among African-American and white women. Breast cancer screening information was extracted from computerized medical records. SETTING A large HMO in New England. PATIENTS/PARTICIPANTS White and African-American women (N =2,072) enrolled for at least 10 years in the HMO. MAIN RESULTS Primary care clinicians documented recommending a screening mammogram significantly more often for African Americans than whites (70% vs 64%; P <.001). During the 10-year period, on average, white women obtained more mammograms (4.49 vs 3.93; P <.0001) and clinical breast examinations (5.35 vs 4.92; P <.01) than African-American women. However, a woman's race was no longer a statistically significant predictor of breast cancer screening after adjustment for differences in age, estimated household income, estrogen use, and body mass index (adjusted number of mammograms, 4.47 vs 4.25, P =.17; and adjusted number of clinical breast examinations, 5.35 vs 5.31, P =.87). CONCLUSIONS In this HMO, African-American and white women obtained breast cancer screening at similar rates. Comparisons with national data showed much higher screening rates in this HMO for both white and African-American women. PMID:10759997

  13. Pattern recognition techniques for automatic detection of suspicious-looking anomalies in mammograms.

    PubMed

    Arodź, Tomasz; Kurdziel, Marcin; Sevre, Erik O D; Yuen, David A

    2005-08-01

    We have employed two pattern recognition methods used commonly for face recognition in order to analyse digital mammograms. The methods are based on novel classification schemes, the AdaBoost and the support vector machines (SVM). A number of tests have been carried out to evaluate the accuracy of these two algorithms under different circumstances. Results for the AdaBoost classifier method are promising, especially for classifying mass-type lesions. In the best case the algorithm achieved accuracy of 76% for all lesion types and 90% for masses only. The SVM based algorithm did not perform as well. In order to achieve a higher accuracy for this method, we should choose image features that are better suited for analysing digital mammograms than the currently used ones. PMID:15925425

  14. Detecting microcalcifications in mammograms by using SVM method for the diagnostics of breast cancer

    NASA Astrophysics Data System (ADS)

    Wan, Baikun; Wang, Ruiping; Qi, Hongzhi; Cao, Xuchen

    2005-01-01

    Support vector machine (SVM) is a new statistical learning method. Compared with the classical machine learning methods, SVM learning discipline is to minimize the structural risk instead of the empirical risk of the classical methods, and it gives better generative performance. Because SVM algorithm is a convex quadratic optimization problem, the local optimal solution is certainly the global optimal one. In this paper a SVM algorithm is applied to detect the micro-calcifications (MCCs) in mammograms for the diagnostics of breast cancer that has not been reported yet. It had been tested with 10 mammograms and the results show that the algorithm can achieve a higher true positive in comparison with artificial neural network (ANN) based on the empirical risk minimization, and is valuable for further study and application in the clinical engineering.

  15. Combining multifractal analyses of digital mammograms and infrared thermograms to assist in early breast cancer diagnosis

    NASA Astrophysics Data System (ADS)

    Gerasimova-Chechkina, E.; Toner, B.; Marin, Z.; Audit, B.; Roux, S. G.; Argoul, F.; Khalil, A.; Gileva, O.; Naimark, O.; Arneodo, A.

    2016-08-01

    We used a 1D wavelet transform modulus maxima (WTMM) method to analyze the temporal fluctuations of breast skin temperature recorded with an infrared (IR) camera from a panel of patients with breast cancer. This study shows that the multifractal complexity of temperature fluctuations observed in healthy breasts, is lost in the region of the malignant tumor in cancerous breasts. Then, we applied the 2D WTMM method to analyze the spatial fluctuations of breast density in the X-ray mammograms of the same patients. Compared to the correlated roughness fluctuations observed in the healthy areas, some clear loss of correlations is detected in malignant tumor foci. These physiological and architectural changes in the environment of malignant tumors detected in both thermograms and mammograms open new perspectives in computer-aided multifractal methods to assist in early breast cancer diagnosis.

  16. Identification of masses in digital mammogram using gray level co-occurrence matrices

    PubMed Central

    Mohd. Khuzi, A; Besar, R; Wan Zaki, WMD; Ahmad, NN

    2009-01-01

    Digital mammogram has become the most effective technique for early breast cancer detection modality. Digital mammogram takes an electronic image of the breast and stores it directly in a computer. The aim of this study is to develop an automated system for assisting the analysis of digital mammograms. Computer image processing techniques will be applied to enhance images and this is followed by segmentation of the region of interest (ROI). Subsequently, the textural features will be extracted from the ROI. The texture features will be used to classify the ROIs as either masses or non-masses. In this study normal breast images and breast image with masses used as the standard input to the proposed system are taken from Mammographic Image Analysis Society (MIAS) digital mammogram database. In MIAS database, masses are grouped into either spiculated, circumscribed or ill-defined. Additional information includes location of masses centres and radius of masses. The extraction of the textural features of ROIs is done by using gray level co-occurrence matrices (GLCM) which is constructed at four different directions for each ROI. The results show that the GLCM at 0º, 45º, 90º and 135º with a block size of 8X8 give significant texture information to identify between masses and non-masses tissues. Analysis of GLCM properties i.e. contrast, energy and homogeneity resulted in receiver operating characteristics (ROC) curve area of Az = 0.84 for Otsu’s method, 0.82 for thresholding method and Az = 0.7 for K-mean clustering. ROC curve area of 0.8-0.9 is rated as good results. The authors’ proposed method contains no complicated algorithm. The detection is based on a decision tree with five criterions to be analysed. This simplicity leads to less computational time. Thus, this approach is suitable for automated real-time breast cancer diagnosis system. PMID:21611053

  17. Automatic localization of the nipple in mammograms using Gabor filters and the Radon transform

    NASA Astrophysics Data System (ADS)

    Chakraborty, Jayasree; Mukhopadhyay, Sudipta; Rangayyan, Rangaraj M.; Sadhu, Anup; Azevedo-Marques, P. M.

    2013-02-01

    The nipple is an important landmark in mammograms. Detection of the nipple is useful for alignment and registration of mammograms in computer-aided diagnosis of breast cancer. In this paper, a novel approach is proposed for automatic detection of the nipple based on the oriented patterns of the breast tissues present in mammograms. The Radon transform is applied to the oriented patterns obtained by a bank of Gabor filters to detect the linear structures related to the tissue patterns. The detected linear structures are then used to locate the nipple position using the characteristics of convergence of the tissue patterns towards the nipple. The performance of the method was evaluated with 200 scanned-film images from the mini-MIAS database and 150 digital radiography (DR) images from a local database. Average errors of 5:84 mm and 6:36 mm were obtained with respect to the reference nipple location marked by a radiologist for the mini-MIAS and the DR images, respectively.

  18. Microcalcification detection system in digital mammogram using two-layer SVM

    NASA Astrophysics Data System (ADS)

    Cho, Sunil; Jin, Sung Ho; Kwon, Ju Won; Ro, Yong Man; Kim, Sung Min

    2008-02-01

    Microcalcification detection in a mammogram is an effective method to find the early stage of breast tumor. Especially, computer aided diagnosis (CAD) improves the working performance of radiologists and doctors as it offers an efficient microcalcification detection. In this paper, we propose a microcalcification detection system which consists of three modules; coarse detection, clustering, and fine detection module. The coarse detection module finds candidate pixels from an entire mammogram which are suspected as a part of a microcalcification. The module not only extracts two median contrast features and two contrast-to-noise ratio features, but also categorizes the candidate pixels with a linear kernel-based SVM classifier. Then, the clustering module forms the candidate pixels into regions of interest (ROI) using a region growing algorithm. The objective of the fine detection module is to decide whether the corresponding region classifies as a microcalcification or not. Eleven features including distribution, variance, gradient, and various edge components are extracted from the clustered ROIs and are fed into a radial basis function-based SVM classifier to determine the microcalcification. In order to verify the effectiveness of the proposed microcalcification detection system, the experiments are performed with full-field digital mammogram (FFDM). We also compare its detection performance with an ANN-based detection system.

  19. Robust Automatic Pectoral Muscle Segmentation from Mammograms Using Texture Gradient and Euclidean Distance Regression.

    PubMed

    Bora, Vibha Bafna; Kothari, Ashwin G; Keskar, Avinash G

    2016-02-01

    In computer-aided diagnosis (CAD) of mediolateral oblique (MLO) view of mammogram, the accuracy of tissue segmentation highly depends on the exclusion of pectoral muscle. Robust methods for such exclusions are essential as the normal presence of pectoral muscle can bias the decision of CAD. In this paper, a novel texture gradient-based approach for automatic segmentation of pectoral muscle is proposed. The pectoral edge is initially approximated to a straight line by applying Hough transform on Probable Texture Gradient (PTG) map of the mammogram followed by block averaging with the aid of approximated line. Furthermore, a smooth pectoral muscle curve is achieved with proposed Euclidean Distance Regression (EDR) technique and polynomial modeling. The algorithm is robust to texture and overlapping fibro glandular tissues. The method is validated with 340 MLO views from three databases-including 200 randomly selected scanned film images from miniMIAS, 100 computed radiography images and 40 full-field digital mammogram images. Qualitatively, 96.75 % of the pectoral muscles are segmented with an acceptable pectoral score index. The proposed method not only outperforms state-of-the-art approaches but also accurately quantifies the pectoral edge. Thus, its high accuracy and relatively quick processing time clearly justify its suitability for CAD.

  20. Contribution of the Unified Health Care System to mammography screening in Brazil, 2013*

    PubMed Central

    Freitas-Junior, Ruffo; Rodrigues, Danielle Cristina Netto; Corrêa, Rosangela da Silveira; Peixoto, João Emílio; de Oliveira, Humberto Vinícius Carrijo Guimarães; Rahal, Rosemar Macedo Sousa

    2016-01-01

    Objective To estimate the coverage of opportunistic mammography screening performed via the Brazilian Sistema Único de Saúde (SUS, Unified Health Care System), at the state and regional level, in 2013. Materials and Methods This was an ecological study in which coverage was estimated by determining the ratio between the number of mammograms performed and the expected number of mammograms among the population of females between 50 and 69 years of age. The number of mammograms performed in the target population was obtained from the Outpatient Database of the Information Technology Department of the SUS. To calculate the expected number of mammograms, we considered 58.9% of the target population, the proportion that would be expected on the basis of the recommendations of the Brazilian National Cancer Institute. Results In 2013, the estimated national coverage of mammography screening via the SUS was 24.8%. The mammography rate ranged from 12.0% in the northern region to 31.3% in the southern region. When stratified by state, coverage was lowest in the state of Pará and highest in the state of Santa Catarina (7.5% and 35.7%, respectively). Conclusion The coverage of mammography screening performed via the SUS is low. There is a significant disparity among the Brazilian states (including the Federal District of Brasília) and among regions, being higher in the south/southeast and lower in the north/northeast.

  1. Joint two-view information for computerized detection of microcalcifications on mammograms

    PubMed Central

    Sahiner, Berkman; Chan, Heang-Ping; Hadjiiski, Lubomir M.; Helvie, Mark A.; Paramagul, Chinatana; Ge, Jun; Wei, Jun; Zhou, Chuan

    2011-01-01

    We are developing new techniques to improve the accuracy of computerized microcalcification detection by using the joint two-view information on craniocaudal (CC) and mediolateral-oblique (MLO) views. After cluster candidates were detected using a single-view detection technique, candidates on CC and MLO views were paired using their radial distances from the nipple. Candidate pairs were classified with a similarity classifier that used the joint information from both views. Each cluster candidate was also characterized by its single-view features. The outputs of the similarity classifier and the single-view classifier were fused and the cluster candidate was classified as a true microcalcification cluster or a false-positive (FP) using the fused two-view information. A data set of 116 pairs of mammograms containing microcalcification clusters and 203 pairs of normal images from the University of South Florida (USF) public database was used for training the two-view detection algorithm. The trained method was tested on an independent test set of 167 pairs of mammograms, which contained 71 normal pairs and 96 pairs with microcalcification clusters collected at the University of Michigan (UM). The similarity classifier had a very low FP rate for the test set at low and medium levels of sensitivity. However, the highest mammogram-based sensitivity that could be reached by the similarity classifier was 69%. The single-view classifier had a higher FP rate compared to the similarity classifier, but it could reach a maximum mammogram-based sensitivity of 93%. The fusion method combined the scores of these two classifiers so that the number of FPs was substantially reduced at relatively low and medium sensitivities, and a relatively high maximum sensitivity was maintained. For the malignant microcalcification clusters, at a mammogram-based sensitivity of 80%, the FP rates were 0.18 and 0.35 with the two-view fusion and single-view detection methods, respectively. When the

  2. The impact of breast cancer knowledge and attitudes on screening and early detection among an immigrant Iranian population in southern California.

    PubMed

    Kobeissi, L; Samari, G; Telesca, D; Esfandiari, M; Galal, O

    2014-12-01

    Few studies explored factors influencing breast cancer screening and early detection behaviors among immigrant Iranian women residing in the USA. Using a cross-sectional survey, a convenience sample of 319 Iranian American women was selected to investigate the impact of breast cancer knowledge and attitude on screening. A self-administered questionnaire assessed breast cancer screening knowledge, attitude, and mammography use (ever, previous year, and future intention). 79 % of the women in the study reported ever receiving at least one mammogram and 74 % received a mammogram in the past year. Personal attitude had an independent significant effect on: mammography use in the last year, ever use of mammography, and future intention to screen. Knowledge and morality-induced attitude influenced screening behavior but not significantly. Interventions targeting breast cancer screening among immigrant Iranian women in the USA should focus on enhancing personal attitudes in order to influence actual screening behavior.

  3. The impact of breast cancer knowledge and attitudes on screening and early detection among an immigrant Iranian population in southern California

    PubMed Central

    Kobeissi, Loulou; Samari, Goleen; Telesca, Donatello; Esfandiari, Mahtash; Galal, Osman

    2014-01-01

    Background Few studies explore factors influencing breast cancer screening and early detection behaviors among immigrant Iranian women residing in the United States. Methods Using a cross-sectional survey, a convenience sample of 319 Iranian-American women was selected to explore the impact of breast cancer knowledge and attitude on screening. A self-administered questionnaire assessed: breast cancer screening knowledge, attitude, and mammography use (ever, previous year and future intention). Results 79 % of the women in the study reported ever-receiving at least one mammogram and 74 % received a mammogram in the past year. Personal attitude had an independent significant effect on: mammography use in the last year, ever use of mammography and future intention to screen. Knowledge and morality-induced attitude influenced screening behavior but not significantly. Conclusion Interventions targeting breast cancer screening among immigrant Iranian women in the US should focus on enhancing personal attitudes in order to influence actual screening behavior. PMID:24096382

  4. Prevalence and Correlates of Breast and Cervical Cancer Screening Among a Midwest Community Sample of Low-Acculturated Latinas

    PubMed Central

    Martínez-Donate, Ana; Vera, Lina M; Zhang, Xiao; Vedro, Rhea; Angulo, Rosario; Atkinson, Tanya

    2014-01-01

    Background Low adherence to cervical and breast cancer (CBC) screening recommendations contributes to high CBC mortality among Latinas. Purpose To estimate the prevalence of, and factors associated with, last 12-month Pap smear and mammogram receipt among a Midwest community sample of low-acculturated Latinas. Methods We conducted a cross-sectional study with 278 Latina immigrants in Dane County, Wisconsin. Participants completed a self-administered questionnaire. We estimated multivariate logistic regression models to identify factors associated with CBC screening receipt. Results Rates of last 12-month Pap smear and mammogram receipt were 56.8% and 39.4%, respectively. Age, knowledge of screening recommendations, and having a regular health care provider were independently associated with both Pap smear and mammogram receipt. Having ever used Planned Parenthood and fatalism beliefs were uniquely correlated with Pap smear and mammogram receipt, respectively. Conclusions Modifiable individual, structural, and cultural factors contribute to suboptimal rates of CBC screening among low-acculturated Latina immigrants. PMID:24185166

  5. Comparative Multifractal Analysis of Dynamic Infrared Thermograms and X-Ray Mammograms Enlightens Changes in the Environment of Malignant Tumors.

    PubMed

    Gerasimova-Chechkina, Evgeniya; Toner, Brian; Marin, Zach; Audit, Benjamin; Roux, Stephane G; Argoul, Francoise; Khalil, Andre; Gileva, Olga; Naimark, Oleg; Arneodo, Alain

    2016-01-01

    There is growing evidence that the microenvironment surrounding a tumor plays a special role in cancer development and cancer therapeutic resistance. Tumors arise from the dysregulation and alteration of both the malignant cells and their environment. By providing tumor-repressing signals, the microenvironment can impose and sustain normal tissue architecture. Once tissue homeostasis is lost, the altered microenvironment can create a niche favoring the tumorigenic transformation process. A major challenge in early breast cancer diagnosis is thus to show that these physiological and architectural alterations can be detected with currently used screening techniques. In a recent study, we used a 1D wavelet-based multi-scale method to analyze breast skin temperature temporal fluctuations collected with an IR thermography camera in patients with breast cancer. This study reveals that the multifractal complexity of temperature fluctuations superimposed on cardiogenic and vasomotor perfusion oscillations observed in healthy breasts is lost in malignant tumor foci in cancerous breasts. Here we use a 2D wavelet-based multifractal method to analyze the spatial fluctuations of breast density in the X-ray mammograms of the same panel of patients. As compared to the long-range correlations and anti-correlations in roughness fluctuations, respectively observed in dense and fatty breast areas, some significant change in the nature of breast density fluctuations with some clear loss of correlations is detected in the neighborhood of malignant tumors. This attests to some architectural disorganization that may deeply affect heat transfer and related thermomechanics in breast tissues, corroborating the change to homogeneous monofractal temperature fluctuations recorded in cancerous breasts with the IR camera. These results open new perspectives in computer-aided methods to assist in early breast cancer diagnosis. PMID:27555823

  6. Comparative Multifractal Analysis of Dynamic Infrared Thermograms and X-Ray Mammograms Enlightens Changes in the Environment of Malignant Tumors

    PubMed Central

    Gerasimova-Chechkina, Evgeniya; Toner, Brian; Marin, Zach; Audit, Benjamin; Roux, Stephane G.; Argoul, Francoise; Khalil, Andre; Gileva, Olga; Naimark, Oleg; Arneodo, Alain

    2016-01-01

    There is growing evidence that the microenvironment surrounding a tumor plays a special role in cancer development and cancer therapeutic resistance. Tumors arise from the dysregulation and alteration of both the malignant cells and their environment. By providing tumor-repressing signals, the microenvironment can impose and sustain normal tissue architecture. Once tissue homeostasis is lost, the altered microenvironment can create a niche favoring the tumorigenic transformation process. A major challenge in early breast cancer diagnosis is thus to show that these physiological and architectural alterations can be detected with currently used screening techniques. In a recent study, we used a 1D wavelet-based multi-scale method to analyze breast skin temperature temporal fluctuations collected with an IR thermography camera in patients with breast cancer. This study reveals that the multifractal complexity of temperature fluctuations superimposed on cardiogenic and vasomotor perfusion oscillations observed in healthy breasts is lost in malignant tumor foci in cancerous breasts. Here we use a 2D wavelet-based multifractal method to analyze the spatial fluctuations of breast density in the X-ray mammograms of the same panel of patients. As compared to the long-range correlations and anti-correlations in roughness fluctuations, respectively observed in dense and fatty breast areas, some significant change in the nature of breast density fluctuations with some clear loss of correlations is detected in the neighborhood of malignant tumors. This attests to some architectural disorganization that may deeply affect heat transfer and related thermomechanics in breast tissues, corroborating the change to homogeneous monofractal temperature fluctuations recorded in cancerous breasts with the IR camera. These results open new perspectives in computer-aided methods to assist in early breast cancer diagnosis. PMID:27555823

  7. Comparative Multifractal Analysis of Dynamic Infrared Thermograms and X-Ray Mammograms Enlightens Changes in the Environment of Malignant Tumors.

    PubMed

    Gerasimova-Chechkina, Evgeniya; Toner, Brian; Marin, Zach; Audit, Benjamin; Roux, Stephane G; Argoul, Francoise; Khalil, Andre; Gileva, Olga; Naimark, Oleg; Arneodo, Alain

    2016-01-01

    There is growing evidence that the microenvironment surrounding a tumor plays a special role in cancer development and cancer therapeutic resistance. Tumors arise from the dysregulation and alteration of both the malignant cells and their environment. By providing tumor-repressing signals, the microenvironment can impose and sustain normal tissue architecture. Once tissue homeostasis is lost, the altered microenvironment can create a niche favoring the tumorigenic transformation process. A major challenge in early breast cancer diagnosis is thus to show that these physiological and architectural alterations can be detected with currently used screening techniques. In a recent study, we used a 1D wavelet-based multi-scale method to analyze breast skin temperature temporal fluctuations collected with an IR thermography camera in patients with breast cancer. This study reveals that the multifractal complexity of temperature fluctuations superimposed on cardiogenic and vasomotor perfusion oscillations observed in healthy breasts is lost in malignant tumor foci in cancerous breasts. Here we use a 2D wavelet-based multifractal method to analyze the spatial fluctuations of breast density in the X-ray mammograms of the same panel of patients. As compared to the long-range correlations and anti-correlations in roughness fluctuations, respectively observed in dense and fatty breast areas, some significant change in the nature of breast density fluctuations with some clear loss of correlations is detected in the neighborhood of malignant tumors. This attests to some architectural disorganization that may deeply affect heat transfer and related thermomechanics in breast tissues, corroborating the change to homogeneous monofractal temperature fluctuations recorded in cancerous breasts with the IR camera. These results open new perspectives in computer-aided methods to assist in early breast cancer diagnosis.

  8. Prevalence of asymptomatic urinary abnormalities among adolescents.

    PubMed

    Fouad, Mohamed; Boraie, Maher

    2016-05-01

    To determine the prevalence of asymptomatic urinary abnormalities in adolescents, first morning clean mid-stream urine specimens were obtained from 2500 individuals and examined by dipstick and light microscopy. Adolescents with abnormal screening results were reexamined after two weeks and those who had abnormal results twice were subjected to systemic clinical examination and further clinical and laboratory investigations. Eight hundred and three (32.1%) individuals had urinary abnormalities at the first screening, which significantly decreased to 345 (13.8%) at the second screening, (P <0.001). Hematuria was the most common urinary abnormalities detected in 245 (9.8%) adolescents who had persistent urine abnormalities; 228 (9.1%) individuals had non glomerular hematuria. The hematuria was isolated in 150 (6%) individuals, combined with leukocyturia in 83 (3.3%) individuals, and combined with proteinuria in 12 (0.5%) individuals. Leukocyturia was detected in 150 (6%) of all studied adolescents; it was isolated in 39 (1.6%) individuals and combined with proteinuria in 28 (1.1%) of them. Asymptomatic bacteriuria was detected in 23 (0.9%) of all studied adolescents; all the cases were females. Proteinuria was detected in 65 (2.6%) of all the studied adolescents; 45 (1.8%) individuals had <0.5 g/day and twenty (0.8%) individuals had 0.5-3 g/day. Asymptomatic urinary abnormalities were more common in males than females and adolescents from rural than urban areas (P <0.01) and (P <0.001), respectively. The present study found a high prevalence of asymptomatic urinary abnormalities among adolescents in our population.

  9. Evaluating geodesic active contours in microcalcifications segmentation on mammograms.

    PubMed

    Duarte, Marcelo A; Alvarenga, Andre V; Azevedo, Carolina M; Calas, Maria Julia G; Infantosi, Antonio F C; Pereira, Wagner C A

    2015-12-01

    Breast cancer is the most commonly occurring type of cancer among women, and it is the major cause of female cancer-related deaths worldwide. Its incidence is increasing in developed as well as developing countries. Efficient strategies to reduce the high death rates due to breast cancer include early detection and tumor removal in the initial stages of the disease. Clinical and mammographic examinations are considered the best methods for detecting the early signs of breast cancer; however, these techniques are highly dependent on breast characteristics, equipment quality, and physician experience. Computer-aided diagnosis (CADx) systems have been developed to improve the accuracy of mammographic diagnosis; usually such systems may involve three steps: (i) segmentation; (ii) parameter extraction and selection of the segmented lesions and (iii) lesions classification. Literature considers the first step as the most important of them, as it has a direct impact on the lesions characteristics that will be used in the further steps. In this study, the original contribution is a microcalcification segmentation method based on the geodesic active contours (GAC) technique associated with anisotropic texture filtering as well as the radiologists' knowledge. Radiologists actively participate on the final step of the method, selecting the final segmentation that allows elaborating an adequate diagnosis hypothesis with the segmented microcalcifications presented in a region of interest (ROI). The proposed method was assessed by employing 1000 ROIs extracted from images of the Digital Database for Screening Mammography (DDSM). For the selected ROIs, the rate of adequately segmented microcalcifications to establish a diagnosis hypothesis was at least 86.9%, according to the radiologists. The quantitative test, based on the area overlap measure (AOM), yielded a mean of 0.52±0.20 for the segmented images, when all 2136 segmented microcalcifications were considered. Moreover, a

  10. Segmenting pectoralis muscle on digital mammograms by a Markov random field-maximum a posteriori model.

    PubMed

    Ge, Mei; Mainprize, James G; Mawdsley, Gordon E; Yaffe, Martin J

    2014-10-01

    Accurate and automatic segmentation of the pectoralis muscle is essential in many breast image processing procedures, for example, in the computation of volumetric breast density from digital mammograms. Its segmentation is a difficult task due to the heterogeneity of the region, neighborhood complexities, and shape variability. The segmentation is achieved by pixel classification through a Markov random field (MRF) image model. Using the image intensity feature as observable data and local spatial information as a priori, the posterior distribution is estimated in a stochastic process. With a variable potential component in the energy function, by the maximum a posteriori (MAP) estimate of the labeling image, given the image intensity feature which is assumed to follow a Gaussian distribution, we achieved convergence properties in an appropriate sense by Metropolis sampling the posterior distribution of the selected energy function. By proposing an adjustable spatial constraint, the MRF-MAP model is able to embody the shape requirement and provide the required flexibility for the model parameter fitting process. We demonstrate that accurate and robust segmentation can be achieved for the curving-triangle-shaped pectoralis muscle in the medio-lateral-oblique (MLO) view, and the semielliptic-shaped muscle in cranio-caudal (CC) view digital mammograms. The applicable mammograms can be either "For Processing" or "For Presentation" image formats. The algorithm was developed using 56 MLO-view and 79 CC-view FFDM "For Processing" images, and quantitatively evaluated against a random selection of 122 MLO-view and 173 CC-view FFDM images of both presentation intent types.

  11. Segmenting pectoralis muscle on digital mammograms by a Markov random field-maximum a posteriori model

    PubMed Central

    Ge, Mei; Mainprize, James G.; Mawdsley, Gordon E.; Yaffe, Martin J.

    2014-01-01

    Abstract. Accurate and automatic segmentation of the pectoralis muscle is essential in many breast image processing procedures, for example, in the computation of volumetric breast density from digital mammograms. Its segmentation is a difficult task due to the heterogeneity of the region, neighborhood complexities, and shape variability. The segmentation is achieved by pixel classification through a Markov random field (MRF) image model. Using the image intensity feature as observable data and local spatial information as a priori, the posterior distribution is estimated in a stochastic process. With a variable potential component in the energy function, by the maximum a posteriori (MAP) estimate of the labeling image, given the image intensity feature which is assumed to follow a Gaussian distribution, we achieved convergence properties in an appropriate sense by Metropolis sampling the posterior distribution of the selected energy function. By proposing an adjustable spatial constraint, the MRF-MAP model is able to embody the shape requirement and provide the required flexibility for the model parameter fitting process. We demonstrate that accurate and robust segmentation can be achieved for the curving-triangle-shaped pectoralis muscle in the medio-lateral-oblique (MLO) view, and the semielliptic-shaped muscle in cranio-caudal (CC) view digital mammograms. The applicable mammograms can be either “For Processing” or “For Presentation” image formats. The algorithm was developed using 56 MLO-view and 79 CC-view FFDM “For Processing” images, and quantitatively evaluated against a random selection of 122 MLO-view and 173 CC-view FFDM images of both presentation intent types. PMID:26158068

  12. Computer-aided diagnosis scheme for histological classification of clustered microcalcifications on magnification mammograms.

    PubMed

    Nakayama, Ryohei; Uchiyama, Yoshikazu; Watanabe, Ryoji; Katsuragawa, Shigehiko; Namba, Kiyoshi; Doi, Kunio

    2004-04-01

    The histological classification of clustered microcalcifications on mammograms can be difficult, and thus often require biopsy or follow-up. Our purpose in this study was to develop a computer-aided diagnosis scheme for identifying the histological classification of clustered microcalcifications on magnification mammograms in order to assist the radiologists' interpretation as a "second opinion." Our database consisted of 58 magnification mammograms, which included 35 malignant clustered microcalcifications (9 invasive carcinomas, 12 noninvasive carcinomas of the comedo type, and 14 noninvasive carcinomas of the noncomedo type) and 23 benign clustered microcalcifications (17 mastopathies and 6 fibroadenomas). The histological classifications of all clustered microcalcifications were proved by pathologic diagnosis. The clustered microcalcifications were first segmented by use of a novel filter bank and a thresholding technique. Five objective features on clustered microcalcifications were determined by taking into account subjective features that experienced the radiologists commonly use to identify possible histological classifications. The Bayes decision rule with five objective features was employed for distinguishing between five histological classifications. The classification accuracies for distinguishing between three malignant histological classifications were 77.8% (7/9) for invasive carcinoma, 75.0% (9/12) for noninvasive carcinoma of the comedo type, and 92.9% (13/14) for noninvasive carcinoma of the noncomedo type. The classification accuracies for distinguishing between two benign histological classifications were 94.1% (16/17) for mastopathy, and 100.0% (6/6) for fibroadenoma. This computerized method would be useful in assisting radiologists in their assessments of clustered microcalcifications. PMID:15124996

  13. Effect of variable gain on computerized texture analysis on digitalized mammograms

    NASA Astrophysics Data System (ADS)

    Li, Hui; Giger, Maryellen L.; Lan, Li; Yuan, Yading; Bhooshan, Neha; Olopade, Olufunmilayo I.

    2010-03-01

    Computerized texture analysis of mammographic images has emerged as a means to characterize breast parenchyma and estimate breast percentage density, and thus, to ultimately assess the risk of developing breast cancer. However, during the digitization process, mammographic images may be modified and optimized for viewing purposes, or mammograms may be digitized with different scanners. It is important to demonstrate how computerized texture analysis will be affected by differences in the digital image acquisition. In this study, mammograms from 172 subjects, 30 women with the BRCA1/2 gene-mutation and 142 low-risk women, were retrospectively collected and digitized. Contrast enhancement based on a look-up table that simulates the histogram of a mixed-density breast was applied on very dense and very fatty breasts. Computerized texture analysis was performed on these transformed images, and the effect of variable gain on computerized texture analysis on mammograms was investigated. Area under the receiver operating characteristic curve (AUC) was used as a figure of merit to assess the individual texture feature performance in the task of distinguishing between the high-risk and the low-risk women for developing breast cancer. For those features based on coarseness measures and fractal measures, the histogram transformation (contrast enhancement) showed little effect on the classification performance of these features. However, as expected, for those features based on gray-scale histogram analysis, such as balance and skewnesss, and contrast measures, large variations were observed in terms of AUC values for those features. Understanding this effect will allow us to better assess breast cancer risk using computerized texture analysis.

  14. Margin-maximised redundancy-minimised SVM-RFE for diagnostic classification of mammograms.

    PubMed

    Kim, Saejoon

    2014-01-01

    Classification techniques function as a main component in digital mammography for breast cancer treatment. While many classification techniques currently exist, recent developments in the derivatives of Support Vector Machines (SVM) with feature selection have shown to yield superior classification accuracy rates in comparison with other competing techniques. In this paper, we propose a new classification technique that is derived from SVM in which margin is maximised and redundancy is minimised during the feature selection process. We have conducted experiments on the largest publicly available data set of mammograms. The empirical results indicate that our proposed classification technique performs superior to other previously proposed SVM-based techniques. PMID:25946884

  15. B-Spline Filtering for Automatic Detection of Calcification Lesions in Mammograms

    SciTech Connect

    Bueno, G.; Ruiz, M.; Sanchez, S

    2006-10-04

    Breast cancer continues to be an important health problem between women population. Early detection is the only way to improve breast cancer prognosis and significantly reduce women mortality. It is by using CAD systems that radiologist can improve their ability to detect, and classify lesions in mammograms. In this study the usefulness of using B-spline based on a gradient scheme and compared to wavelet and adaptative filtering has been investigated for calcification lesion detection and as part of CAD systems. The technique has been applied to different density tissues. A qualitative validation shows the success of the method.

  16. B-Spline Filtering for Automatic Detection of Calcification Lesions in Mammograms

    NASA Astrophysics Data System (ADS)

    Bueno, G.; Sánchez, S.; Ruiz, M.

    2006-10-01

    Breast cancer continues to be an important health problem between women population. Early detection is the only way to improve breast cancer prognosis and significantly reduce women mortality. It is by using CAD systems that radiologist can improve their ability to detect, and classify lesions in mammograms. In this study the usefulness of using B-spline based on a gradient scheme and compared to wavelet and adaptative filtering has been investigated for calcification lesion detection and as part of CAD systems. The technique has been applied to different density tissues. A qualitative validation shows the success of the method.

  17. Shapelet analysis of pupil dilation for modeling visuo-cognitive behavior in screening mammography

    NASA Astrophysics Data System (ADS)

    Alamudun, Folami; Yoon, Hong-Jun; Hammond, Tracy; Hudson, Kathy; Morin-Ducote, Garnetta; Tourassi, Georgia

    2016-03-01

    Our objective is to improve understanding of visuo-cognitive behavior in screening mammography under clinically equivalent experimental conditions. To this end, we examined pupillometric data, acquired using a head-mounted eye-tracking device, from 10 image readers (three breast-imaging radiologists and seven Radiology residents), and their corresponding diagnostic decisions for 100 screening mammograms. The corpus of mammograms comprised cases of varied pathology and breast parenchymal density. We investigated the relationship between pupillometric fluctuations, experienced by an image reader during mammographic screening, indicative of changes in mental workload, the pathological characteristics of a mammographic case, and the image readers' diagnostic decision and overall task performance. To answer these questions, we extract features from pupillometric data, and additionally applied time series shapelet analysis to extract discriminative patterns in changes in pupil dilation. Our results show that pupillometric measures are adequate predictors of mammographic case pathology, and image readers' diagnostic decision and performance with an average accuracy of 80%.

  18. Weighing the Benefits and Burdens of Mammography Screening Among Women Age 80 Years or Older

    PubMed Central

    Schonberg, Mara A.; Silliman, Rebecca A.; Marcantonio, Edward R.

    2009-01-01

    Purpose To examine outcomes of mammography screening among women ≥ 80 years to inform decision making. Patients and Methods We conducted a cohort study of 2,011 women without a history of breast cancer who were age ≥ 80 years between 1994 and 2004 and who received care at one academic primary care clinic or two community health centers in Boston, MA. Medical record data were abstracted on all screening and diagnostic mammograms, breast ultrasounds and biopsies performed, all breast cancers diagnosed through December 31, 2006, and on sociodemographics. Date and cause of death were confirmed using the National Death Index. Results The majority of patients (78.6%) were non-Hispanic white and 51.4% (n = 1,034) had been screened with mammography since age 80 years. Among women who were screened, eight were diagnosed with ductal carcinoma in situ, 16 with early stage disease (1.5%), two with late stage disease, and one died as a result of breast cancer. Many (110; 11%) experienced a false-positive screening mammogram that led to 19 benign breast biopsies, eight refused work-up, and three experienced a false-negative screening mammogram; 97 were screened within 2 years of their death from other causes. There were no significant differences in the rate, stage, recurrence rate, or deaths due to breast cancer between women who were screened and those who were not screened. Conclusion The majority of women ≥ 80 years are screened with mammography yet few benefit. Meanwhile, 12.5% experience a burden from screening. The data from this study can be used to inform elderly women's decision making and potentially lead to more rational use of screening. PMID:19255318

  19. Cancer Screening on the Hopi Reservation: A Model for Success in a Native American Community.

    PubMed

    Brown, Sylvia R; Joshweseoma, Lori; Saboda, Kathylynn; Sanderson, Priscilla; Ami, Delores; Harris, Robin

    2015-12-01

    American Indian women have lower cancer survival rates compared to non-Hispanic White women. Increased cancer screening fostered by culturally sensitive education and community programs may help decrease this disparity. This study assesses the effectiveness of Hopi Cancer Support Services (HCSS) in maintaining high rates of breast and cervical cancer screening among Hopi women and evaluates the impact of participation in HCSS programs on colorectal cancer (CRC) screening. A population-based survey was conducted on the Hopi reservation in 2012 (n = 252 women). Frequency of breast, cervical, and colorectal cancer screenings, participation in HCSS programs and barriers to screening were evaluated. Unconditional multiple logistic regression estimated the independent effect of the HCSS program on CRC screening. Approximately 88 % of Hopi women 40+ reported ever having had a mammogram; 71 % did so within the past 2 years. Approximately 66 % of women 50+ were ever screened for colorectal cancer (FOBT and/or colonoscopy). Women who had their last mammogram through HCSS were 2.81 (95 % CI 1.12, 7.07) times more likely to have been screened for CRC. Breast and cervical cancer screening continues at a high rate among Hopi women and is substantially greater than that reported prior to the inception of HCSS. Furthermore, participation in programs offered by HCSS is strongly associated with increased colorectal cancer screening. This tribal health program (HCSS) has strongly influenced cancer screening among Hopi women and is a model of a tribally run cancer prevention program. PMID:26091896

  20. Cancer Screening on the Hopi Reservation: A Model for Success in a Native American Community

    PubMed Central

    Joshweseoma, Lori; Saboda, Kathylynn; Sanderson, Priscilla; Ami, Delores; Harris, Robin

    2015-01-01

    American Indian women have lower cancer survival rates compared to non-Hispanic White women. Increased cancer screening fostered by culturally sensitive education and community programs may help decrease this disparity. This study assesses the effectiveness of Hopi Cancer Support Services (HCSS) in maintaining high rates of breast and cervical cancer screening among Hopi women and evaluates the impact of participation in HCSS programs on colorectal cancer (CRC) screening. A population-based survey was conducted on the Hopi reservation in 2012 (n = 252 women). Frequency of breast, cervical, and colorectal cancer screenings, participation in HCSS programs and barriers to screening were evaluated. Unconditional multiple logistic regression estimated the independent effect of the HCSS program on CRC screening. Approximately 88 % of Hopi women 40+ reported ever having had a mammogram; 71 % did so within the past 2 years. Approximately 66 % of women 50+ were ever screened for colorectal cancer (FOBT and/or colonoscopy). Women who had their last mammogram through HCSS were 2.81 (95 % CI 1.12, 7.07) times more likely to have been screened for CRC. Breast and cervical cancer screening continues at a high rate among Hopi women and is substantially greater than that reported prior to the inception of HCSS. Furthermore, participation in programs offered by HCSS is strongly associated with increased colorectal cancer screening. This tribal health program (HCSS) has strongly influenced cancer screening among Hopi women and is a model of a tribally run cancer prevention program. PMID:26091896

  1. Tooth - abnormal shape

    MedlinePlus

    Hutchinson incisors; Abnormal tooth shape; Peg teeth; Mulberry teeth; Conical teeth ... The appearance of normal teeth varies, especially the molars. ... conditions. Specific diseases can affect tooth shape, tooth ...

  2. Variation of benefits and harms of breast cancer screening with age.

    PubMed

    Harris, R

    1997-01-01

    The critical issue in deciding whether to recommend breast cancer screening for women in their forties is to determine whether potential benefits are substantially greater than potential harms. Recent evidence from randomized clinical trials makes it likely that, after 10-12 years of follow-up, there is a real benefit from screening women ages 40-49, on the order of a 15-20% reduction in the relative risk of breast cancer death. This relative risk reduction translates into an absolute risk reduction of 1-2 women whose lives are extended from screening 1,000 women in their forties annually for 10 years (i.e., about one life extended per 5,000 mammograms). The absolute benefit of screening increases with age. Evidence about potential harms is less well established, but it is compelling that there are 15-40 times as many false positive as true positive mammograms (depending on the patient's age), and that at least some of the women with false positive mammograms have ongoing psychological distress as a result. Some 30% of all women who are screened annually during their forties will have at least one false positive mammogram and this probability likely decreases with advancing age. If the balance between benefits and harms is judged to be a "close call" for women in their forties, a blanket recommendation for all is inappropriate. Instead, each woman in her forties should be helped to understand the pros and cons of screening, to clarify her own values, and to consider with her primary care physician what decision would be best for her. PMID:9709290

  3. Detection of masses in mammogram images using CNN, geostatistic functions and SVM.

    PubMed

    Sampaio, Wener Borges; Diniz, Edgar Moraes; Silva, Aristófanes Corrêa; de Paiva, Anselmo Cardoso; Gattass, Marcelo

    2011-08-01

    Breast cancer occurs with high frequency among the world's population and its effects impact the patients' perception of their own sexuality and their very personal image. This work presents a computational methodology that helps specialists detect breast masses in mammogram images. The first stage of the methodology aims to improve the mammogram image. This stage consists in removing objects outside the breast, reducing noise and highlighting the internal structures of the breast. Next, cellular neural networks are used to segment the regions that might contain masses. These regions have their shapes analyzed through shape descriptors (eccentricity, circularity, density, circular disproportion and circular density) and their textures analyzed through geostatistic functions (Ripley's K function and Moran's and Geary's indexes). Support vector machines are used to classify the candidate regions as masses or non-masses, with sensitivity of 80%, rates of 0.84 false positives per image and 0.2 false negatives per image, and an area under the ROC curve of 0.87. PMID:21703605

  4. Use of CAD output to guide the intelligent display of digital mammograms

    NASA Astrophysics Data System (ADS)

    Bloomquist, Aili K.; Yaffe, Martin J.; Mawdsley, Gordon E.; Morgan, Trevor; Rico, Dan; Jong, Roberta A.

    2003-05-01

    For digital mammography to be efficient, methods are needed to choose an initial default image presentation that maximizes the amount of relevant information perceived by the radiologist and minimizes the amount of time spent adjusting the image display parameters. The purpose of this work is to explore the possibility of using the output of computer aided detection (CAD) software to guide image enhancement and presentation. A set of 16 digital mammograms with lesions of known pathology was used to develop and evaluate an enhancement and display protocol to improve the initial softcopy presentation of digital mammograms. Lesions were identified by CAD and the DICOM structured report produced by the CAD program was used to determine what enhancement algorithm should be applied in the identified regions of the image. An improved version of contrast limited adaptive histogram equalization (CLAHE) is used to enhance calcifications. For masses, the image is first smoothed using a non-linear diffusion technique; subsequently, local contrast is enhanced with a method based on morphological operators. A non-linear lookup table is automatically created to optimize the contrast in the regions of interest (detected lesions) without losing the context of the periphery of the breast. The effectiveness of the enhancement will be compared with the default presentation of the images using a forced choice preference study.

  5. Automated detection of clustered microcalcifications on mammograms: CAD system application to MIAS database

    NASA Astrophysics Data System (ADS)

    Ibrahim, Norhayati; Fujita, Hiroshi; Hara, Takeshi; Endo, Tokiko

    1997-12-01

    To investigate the detection performance of our automated detection scheme for clustered microcalcifications on mammograms, we applied our computer-aided diagnosis (CAD) system to the database of the Mammographic Image Analysis Society (MIAS) in the UK. Forty-three mammograms from this database were used in this study. In our scheme, the breast regions were firstly extracted by determining the skinline. Histograms of the original images were used to extract the high-density area within the breast region as the segmentation from the fatty area around the skinline. Then the contrast correction technique was employed. Gradient vectors of the image density were calculated on the contrast corrected images. To extract the specific features of the pattern of the microcalcifications, triple-ring filter analysis was employed. A variable-ring filter was used for more accurate detection after the triple-ring filter. The features of the detected candidate areas were then characterized by feature analysis. The areas which satisfied the characteristics and specific terms were classified and displayed as clusters. As a result, the sensitivity was 95.8% with the false-positive rate at 1.8 clusters per image. This demonstrates that the automated detection of clustered microcalcifications in our CAD system is reliable as an aid to radiologists.

  6. 3D reconstruction of clustered microcalcifications from two mammograms: information preservation

    NASA Astrophysics Data System (ADS)

    Stotzka, Rainer; Haase, Juergen; Mueller, Tim O.

    1999-05-01

    This work describes the three-dimensional reconstruction of clustered microcalcifications based on only two digitized mammograms. First, the mammograms are examined separately to detect suspicious areas automatically. A further investigation separates microcalcifications from other structures. Based on an optimized region matching and on a specially adapted inverse discrete radon-transformation the corresponding volume is estimated from two projections and visualized by a continuously rotating object. But do two projections of a cluster carry enough information to reconstruct its three- dimensional arrangement sufficiently? We use Shannon's definition of information to estimate a lower bound of preserved information, described as the ratio of average information contained in the projections and average information contained in the volume, for simplified scenarios. Assuming two orthogonal projections of a cubic volume containing k binary representations of microcalcification positions the average information in the projections is determined by the combinatorial quantity of admissible arrangements and the size n3 of the volume. The combinatorial quantity of legal three-dimensional arrangements of microcalcification positions describes the average information carried by the volume. We showed that the amount of preserved information in the projections is more than 95% if k equals n/2 positions are found in both projections; it will exceed 98% if k equals n/4 positions are set.

  7. Computer-aided detection and diagnosis of masses and clustered microcalcifications from digital mammograms

    NASA Astrophysics Data System (ADS)

    Nishikawa, Robert M.; Giger, Maryellen L.; Doi, Kunio; Vyborny, Carl J.; Schmidt, Robert A.; Metz, Charles E.; Wu, Chris Y.; Yin, Fang-Fang; Jiang, Yulei; Huo, Zhimin; Lu, Ping; Zhang, Wei; Ema, Takahiro; Bick, Ulrich; Papaioannou, John; Nagel, Rufus H.

    1993-07-01

    We are developing an 'intelligent' workstation to assist radiologists in diagnosing breast cancer from mammograms. The hardware for the workstation will consist of a film digitizer, a high speed computer, a large volume storage device, a film printer, and 4 high resolution CRT monitors. The software for the workstation is a comprehensive package of automated detection and classification schemes. Two rule-based detection schemes have been developed, one for breast masses and the other for clustered microcalcifications. The sensitivity of both schemes is 85% with a false-positive rate of approximately 3.0 and 1.5 false detections per image, for the mass and cluster detection schemes, respectively. Computerized classification is performed by an artificial neural network (ANN). The ANN has a sensitivity of 100% with a specificity of 60%. Currently, the ANN, which is a three-layer, feed-forward network, requires as input ratings of 14 different radiographic features of the mammogram that were determined subjectively by a radiologist. We are in the process of developing automated techniques to objectively determine these 14 features. The workstation will be placed in the clinical reading area of the radiology department in the near future, where controlled clinical tests will be performed to measure its efficacy.

  8. An analysis of perceptual errors in reading mammograms using quasi-local spatial frequency spectra.

    PubMed

    Mello-Thoms, C; Dunn, S M; Nodine, C F; Kundel, H L

    2001-09-01

    In this pilot study the authors examined areas on a mammogram that attracted the visual attention of experienced mammographers and mammography fellows, as well as areas that were reported to contain a malignant lesion, and, based on their spatial frequency spectrum, they characterized these areas by the type of decision outcome that they yielded: true-positives (TP), false-positives (FP), true-negatives (TN), and false-negatives (FN). Five 2-view (craniocaudal and medial-lateral oblique) mammogram cases were examined by 8 experienced observers, and the eye position of the observers was tracked. The observers were asked to report the location and nature of any malignant lesions present in the case. The authors analyzed each area in which either the observer made a decision or in which the observer had prolonged (>1,000 ms) visual dwell using wavelet packets, and characterized these areas in terms of the energy contents of each spatial frequency band. It was shown that each decision outcome is characterized by a specific profile in the spatial frequency domain, and that these profiles are significantly different from one another. As a consequence of these differences, the profiles can be used to determine which type of decision a given observer will make when examining the area. Computer-assisted perception correctly predicted up to 64% of the TPs made by the observers, 77% of the FPs, and 70% of the TNs.

  9. First Trimester Down Syndrome Screen

    MedlinePlus

    ... Home Visit Global Sites Search Help? First Trimester Down Syndrome Screen Share this page: Was this page helpful? ... is carrying has a chromosomal abnormality such as Down syndrome (trisomy 21) or Edwards syndrome (trisomy 18) . The ...

  10. Combining multiple feature representations and AdaBoost ensemble learning for reducing false-positive detections in computer-aided detection of masses on mammograms.

    PubMed

    Choi, Jae Young; Kim, Dae Hoe; Plataniotis, Konstantinos N; Ro, Yong Man

    2012-01-01

    One of the drawbacks of current Computer-aided Detection (CADe) systems is a high number of false-positive (FP) detections, especially for detecting mass abnormalities. In a typical CADe system, classifier design is one of the key steps for determining FP detection rates. This paper presents the effective classifier ensemble system for tackling FP reduction problem in CADe. To construct ensemble consisting of correct classifiers while disagreeing with each other as much as possible, we develop a new ensemble construction solution that combines data resampling underpinning AdaBoost learning with the use of different feature representations. In addition, to cope with the limitation of weak classifiers in conventional AdaBoost, our method has an effective mechanism for tuning the level of weakness of base classifiers. Further, for combining multiple decision outputs of ensemble members, a weighted sum fusion strategy is used to maximize a complementary effect for correct classification. Comparative experiments have been conducted on benchmark mammogram dataset. Results show that the proposed classifier ensemble outperforms the best single classifier in terms of reducing the FP detections of masses.

  11. Structurally abnormal human autosomes

    SciTech Connect

    1993-12-31

    Chapter 25, discusses structurally abnormal human autosomes. This discussion includes: structurally abnormal chromosomes, chromosomal polymorphisms, pericentric inversions, paracentric inversions, deletions or partial monosomies, cri du chat (cat cry) syndrome, ring chromosomes, insertions, duplication or pure partial trisomy and mosaicism. 71 refs., 8 figs.

  12. Morphological abnormalities among lampreys

    USGS Publications Warehouse

    Manion, Patrick J.

    1967-01-01

    The experimental control of the sea lamprey (Petromyzon marinus) in the Great Lakes has required the collection of thousands of lampreys. Representatives of each life stage of the four species of the Lake Superior basin were examined for structural abnormalities. The most common aberration was the presence of additional tails. The accessory tails were always postanal and smaller than the normal tail. The point of origin varied; the extra tails occurred on dorsal, ventral, or lateral surfaces. Some of the extra tails were misshaped and curled, but others were normal in shape and pigment pattern. Other abnormalities in larval sea lampreys were malformed or twisted tails and bodies. The cause of the structural abnormalities is unknown. The presence of extra caudal fins could be genetically controlled, or be due to partial amputation or injury followed by abnormal regeneration. Few if any lampreys with structural abnormalities live to sexual maturity.

  13. Cervical and Breast Cancer Screening Among Mexican Migrant Women, 2013

    PubMed Central

    Guerrero, Natalie; Zhang, Xiao; Rangel, Gudelia; Gonzalez-Fagoaga, J. Eduardo

    2016-01-01

    Introduction Information on cervical and breast cancer screening among Latinas in the United States is limited. Even less information is available on screening practices of migrant women who engage in circular migration. We examined rates of cervical and breast cancer screening and the extent to which sociodemographics and other characteristics explain screening practices of Mexican migrant women who return to Mexico from the United States. Methods We used data from a cross-sectional probability survey of Mexico-born migrant women who returned, through Tijuana, to Mexico from the United States in 2013. The sample consisted of women who returned involuntarily (via deportation) or voluntarily; 177 reported authorized documentation status, and 36 reported unauthorized documentation status in the previous 12 months. Descriptive statistics were calculated and logistic regressions were estimated. Results Of 36 undocumented migrant women, 8 (22.2%) had a Papanicolaou test and 11 (30.6%) had a mammogram in the previous year; of 177 documented migrants, 83 (46.9%) had a Papanicolaou test and 68 (38.4%) had a mammogram. Undocumented migrants were less likely than documented migrants to receive a Papanicolaou test (odds ratio [OR] = 0.29; 95% confidence interval [CI], 0.12–0.67); the likelihood was similar after adjustment for sociodemographic, migration, and acculturation factors (adjusted OR = 0.33; 95% CI, 0.12–0.90). Having health insurance (adjusted OR = 4.17; 95% CI, 1.80–9.65) and a regular source of health care (adjusted OR = 2.83; 95% CI, 1.05–7.65) were significant predictors of receiving a mammogram but not a Papanicolaou test. Conclusion Public health programs are needed to improve access to cervical and breast cancer screenings for Latina migrant women in general and undocumented circular migrants in particular. PMID:27513995

  14. Mammography Screening in a Large Health System Following the U.S. Preventive Services Task Force Recommendations and the Affordable Care Act

    PubMed Central

    Nelson, Heidi D.; Weerasinghe, Roshanthi; Wang, Lian; Grunkemeier, Gary

    2015-01-01

    Background Practice recommendations for mammography screening were issued by the U.S. Preventive Services Task Force in 2009 and expansion of insurance coverage was provided under the Patient Protection and Affordable Care Act soon thereafter, yet the influence of these changes on screening practices in the United States is not known. Methods To determine changes in mammography screening and their associations with new practice recommendations and the Affordable Care Act, we examined patient-level data from 249,803 screening mammograms from January 1, 2008 through December 31, 2012 in a large community-based health system in the northwestern United States. Associations were determined by an intervention analysis of time-series data method. Results Among women screened, 64% were age 50-74 years; 84% self-identified as white race; 62% had commercial insurance; and 70% were seen in facilities located in metropolitan areas. Practice recommendations were associated with decreased screening volumes among women age <40 (-37.4 mammograms/month; -39.4% change; P<0.001), 40-49 (-106.0 mammograms/month; -11.2% change; P<0.001), and ≥75 (-54.7 mammograms/month; -10.0% change; P<0.001), but not women age 50-74. Implementation of the Affordable Care Act was associated with increased screening among women age 50-74 (+184.3 mammograms/month; +7.2% change; P=0.001), but not women <40 or ≥75; increases for age 40-49 were of borderline statistical significance (+56.9 mammograms/month; +6% change; P=0.06). Practice recommendations were also associated with decreased screening for women with commercial insurance, while the Affordable Care Act was associated with increased screening for women with Medicare, Medicaid, or other noncommercial sources of payment. Conclusions Mammography screening volumes in a large community health system decreased among women age <50 and ≥75 in association with new U.S. Preventive Services Task Force practice recommendations, while insurance coverage

  15. Mammogram - calcifications

    MedlinePlus

    Microcalcifications or macrocalcifications; Breast cancer - calcifications; Mammography - calcifications ... or take in as medicine does not cause calcifications in the breast. Most calcifications are not a ...

  16. Potential impact of legislation mandating breast density notification: benefits, harms, and cost effectiveness of supplemental ultrasound screening

    PubMed Central

    Sprague, Brian L.; Stout, Natasha K.; Schechter, Clyde; van Ravesteyn, Nicolien T.; Cevik, Mucahit; Alagoz, Oguzhan; Lee, Christoph I.; van den Broek, Jeroen J.; Miglioretti, Diana L.; Mandelblatt, Jeanne S.; de Koning, Harry J.; Kerlikowske, Karla; Lehman, Constance D.; Tosteson, Anna N. A.

    2014-01-01

    Background At least nineteen states have laws that require telling women with dense breasts and a negative screening mammogram to consider supplemental screening. The most readily available supplemental screening modality is ultrasound, yet little is known about its effectiveness. Objective To evaluate the benefits, harms, and cost-effectiveness of supplemental ultrasound screening for women with dense breasts. Design Comparative modeling with 3 validated simulation models. Data Sources Surveillance, Epidemiology, and End Results Program; Breast Cancer Surveillance Consortium; the medical literature. Target Population A contemporary cohort of women eligible for routine screening. Time Horizon Lifetime. Perspective Payer. Interventions Supplemental ultrasound screening for women with dense breasts following a negative screening mammogram. Outcome Measures Breast cancer deaths averted, quality-adjusted life years (QALYs) gained, false positive ultrasound biopsy recommendations, costs, costs per QALY gained. Results of Base-Case Analysis Supplemental ultrasound screening after a negative mammogram for women aged 50–74 with heterogeneously or extremely dense breasts averted 0.36 additional breast cancer deaths (range across models: 0.14–0.75), gained 1.7 QALYs (0.9–4.7), and resulted in 354 false-positive ultrasound biopsy recommendations (345–421) per 1000 women with dense breasts compared with biennial screening by mammography alone. The cost-effectiveness ratio was $325,000 per QALY gained ($112,000-$766,000). Restricting supplemental ultrasound screening to women with extremely dense breasts cost $246,000 per QALY gained ($74,000-$535,000). Results of Sensitivity Analysis The conclusions were not sensitive to ultrasound performance characteristics, screening frequency, or starting age. Limitations Provider costs for coordinating supplemental ultrasound were not considered. Conclusions Supplemental ultrasound screening for women with dense breasts undergoing

  17. Abnormal uterine bleeding.

    PubMed

    Jennings, J C

    1995-11-01

    Physicians who care for female patients cannot avoid the frequent complaint of abnormal uterine bleeding. Knowledge of the disorders that cause this problem can prevent serious consequences in many patients and improve the quality of life for many others. The availability of noninvasive and minimally invasive diagnostic studies and minimally invasive surgical treatment has revolutionized management of abnormal uterine bleeding. Similar to any other disorder, the extent to which a physician manages abnormal uterine bleeding depends on his or her own level of comfort. When limitations of either diagnostic or therapeutic capability are encountered, consultation and referral should be used to the best interest of patients.

  18. Evaluation of an Automated Information Extraction Tool for Imaging Data Elements to Populate a Breast Cancer Screening Registry.

    PubMed

    Lacson, Ronilda; Harris, Kimberly; Brawarsky, Phyllis; Tosteson, Tor D; Onega, Tracy; Tosteson, Anna N A; Kaye, Abby; Gonzalez, Irina; Birdwell, Robyn; Haas, Jennifer S

    2015-10-01

    Breast cancer screening is central to early breast cancer detection. Identifying and monitoring process measures for screening is a focus of the National Cancer Institute's Population-based Research Optimizing Screening through Personalized Regimens (PROSPR) initiative, which requires participating centers to report structured data across the cancer screening continuum. We evaluate the accuracy of automated information extraction of imaging findings from radiology reports, which are available as unstructured text. We present prevalence estimates of imaging findings for breast imaging received by women who obtained care in a primary care network participating in PROSPR (n = 139,953 radiology reports) and compared automatically extracted data elements to a "gold standard" based on manual review for a validation sample of 941 randomly selected radiology reports, including mammograms, digital breast tomosynthesis, ultrasound, and magnetic resonance imaging (MRI). The prevalence of imaging findings vary by data element and modality (e.g., suspicious calcification noted in 2.6% of screening mammograms, 12.1% of diagnostic mammograms, and 9.4% of tomosynthesis exams). In the validation sample, the accuracy of identifying imaging findings, including suspicious calcifications, masses, and architectural distortion (on mammogram and tomosynthesis); masses, cysts, non-mass enhancement, and enhancing foci (on MRI); and masses and cysts (on ultrasound), range from 0.8 to1.0 for recall, precision, and F-measure. Information extraction tools can be used for accurate documentation of imaging findings as structured data elements from text reports for a variety of breast imaging modalities. These data can be used to populate screening registries to help elucidate more effective breast cancer screening processes. PMID:25561069

  19. Evaluation of an Automated Information Extraction Tool for Imaging Data Elements to Populate a Breast Cancer Screening Registry.

    PubMed

    Lacson, Ronilda; Harris, Kimberly; Brawarsky, Phyllis; Tosteson, Tor D; Onega, Tracy; Tosteson, Anna N A; Kaye, Abby; Gonzalez, Irina; Birdwell, Robyn; Haas, Jennifer S

    2015-10-01

    Breast cancer screening is central to early breast cancer detection. Identifying and monitoring process measures for screening is a focus of the National Cancer Institute's Population-based Research Optimizing Screening through Personalized Regimens (PROSPR) initiative, which requires participating centers to report structured data across the cancer screening continuum. We evaluate the accuracy of automated information extraction of imaging findings from radiology reports, which are available as unstructured text. We present prevalence estimates of imaging findings for breast imaging received by women who obtained care in a primary care network participating in PROSPR (n = 139,953 radiology reports) and compared automatically extracted data elements to a "gold standard" based on manual review for a validation sample of 941 randomly selected radiology reports, including mammograms, digital breast tomosynthesis, ultrasound, and magnetic resonance imaging (MRI). The prevalence of imaging findings vary by data element and modality (e.g., suspicious calcification noted in 2.6% of screening mammograms, 12.1% of diagnostic mammograms, and 9.4% of tomosynthesis exams). In the validation sample, the accuracy of identifying imaging findings, including suspicious calcifications, masses, and architectural distortion (on mammogram and tomosynthesis); masses, cysts, non-mass enhancement, and enhancing foci (on MRI); and masses and cysts (on ultrasound), range from 0.8 to1.0 for recall, precision, and F-measure. Information extraction tools can be used for accurate documentation of imaging findings as structured data elements from text reports for a variety of breast imaging modalities. These data can be used to populate screening registries to help elucidate more effective breast cancer screening processes.

  20. "Jeopardy" in Abnormal Psychology.

    ERIC Educational Resources Information Center

    Keutzer, Carolin S.

    1993-01-01

    Describes the use of the board game, Jeopardy, in a college level abnormal psychology course. Finds increased student interaction and improved application of information. Reports generally favorable student evaluation of the technique. (CFR)

  1. Abnormal Uterine Bleeding

    MedlinePlus

    ... Abnormal uterine bleeding is any bleeding from the uterus (through your vagina) other than your normal monthly ... or fibroids (small and large growths) in the uterus can also cause bleeding. Rarely, a thyroid problem, ...

  2. Abnormal Uterine Bleeding FAQ

    MedlinePlus

    ... as cancer of the uterus, cervix, or vagina • Polycystic ovary syndrome How is abnormal bleeding diagnosed? Your health care ... before the fetus can survive outside the uterus. Polycystic Ovary Syndrome: A condition characterized by two of the following ...

  3. Radiological technologists' performance for the detection of malignant microcalcifications in digital mammograms without and with a computer-aided detection system.

    PubMed

    Tanaka, Rie; Takamori, Miho; Uchiyama, Yoshikazu; Shiraishi, Junji

    2015-04-01

    The aim of this study was to investigate the diagnostic performance of radiological technologists (RTs) in the detection of malignant microcalcifications and to evaluate how much computer-aided detection (CADe) improved their performances compared with those by expert breast radiologists (BRs). Six board-certified breast RTs and four board-certified BRs participated in a free-response receiver operating characteristic observer study. The dataset consisted of 75 cases (25 malignant, 25 benign, and 25 normal cases) of digital mammograms, selected from the digital database for screening mammography provided by the University of South Florida. Average figure of merit (FOM) of the RTs' performances was statistically analyzed using jack-knife free-response receiver operating characteristic and compared with that of expert BRs. The detection performance of RTs was significantly improved by using CADe; average sensitivity was increased from 46.7% to 56.7%, with a decrease in the average number of false positives per case from 0.19 to 0.13. Detection accuracy of an average FOM was improved from 0.680 to 0.816 ([Formula: see text]) and the difference in FOMs between RTs and radiologists failed to reach statistical significance. RTs' performances for the identification of malignant microcalcifications on digital mammography were sufficiently high and comparable to those of radiologists by using CADe. PMID:26158109

  4. Radiological technologists’ performance for the detection of malignant microcalcifications in digital mammograms without and with a computer-aided detection system

    PubMed Central

    Tanaka, Rie; Takamori, Miho; Uchiyama, Yoshikazu; Shiraishi, Junji

    2015-01-01

    Abstract. The aim of this study was to investigate the diagnostic performance of radiological technologists (RTs) in the detection of malignant microcalcifications and to evaluate how much computer-aided detection (CADe) improved their performances compared with those by expert breast radiologists (BRs). Six board-certified breast RTs and four board-certified BRs participated in a free-response receiver operating characteristic observer study. The dataset consisted of 75 cases (25 malignant, 25 benign, and 25 normal cases) of digital mammograms, selected from the digital database for screening mammography provided by the University of South Florida. Average figure of merit (FOM) of the RTs’ performances was statistically analyzed using jack-knife free-response receiver operating characteristic and compared with that of expert BRs. The detection performance of RTs was significantly improved by using CADe; average sensitivity was increased from 46.7% to 56.7%, with a decrease in the average number of false positives per case from 0.19 to 0.13. Detection accuracy of an average FOM was improved from 0.680 to 0.816 (p=0.001) and the difference in FOMs between RTs and radiologists failed to reach statistical significance. RTs’ performances for the identification of malignant microcalcifications on digital mammography were sufficiently high and comparable to those of radiologists by using CADe. PMID:26158109

  5. Evaluation of a novel method of noise reduction using computer-simulated mammograms.

    PubMed

    Tischenko, Oleg; Hoeschen, Christoph; Dance, David R; Hunt, Roger A; Maidment, Andrew D A; Bakic, Predrag R

    2005-01-01

    A novel method of noise reduction has been tested for mammography using computer-simulated images for which the truth is known exactly. This method is based on comparing two images. The images are compared at different scales, using a cross-correlation function as a measure of similarity to define the image modifications in the wavelet domain. The computer-simulated images were calculated for noise-free primary radiation using a quasi-realistic voxel phantom. Two images corresponding to slightly different geometry were produced. Gaussian noise was added with certain properties to simulate quantum noise. The added noise could be reduced by >70% using the proposed method without any noticeable corruption of the structures. It is possible to save 50% dose in mammography by producing two images (each 25% of the dose for a standard mammogram). Additionally, a reduction of the anatomical noise and, therefore, better detection rates of breast cancer in mammography are possible.

  6. Case base classification on digital mammograms: improving the performance of case base classifier

    NASA Astrophysics Data System (ADS)

    Raman, Valliappan; Then, H. H.; Sumari, Putra; Venkatesa Mohan, N.

    2011-10-01

    Breast cancer continues to be a significant public health problem in the world. Early detection is the key for improving breast cancer prognosis. The aim of the research presented here is in twofold. First stage of research involves machine learning techniques, which segments and extracts features from the mass of digital mammograms. Second level is on problem solving approach which includes classification of mass by performance based case base classifier. In this paper we build a case-based Classifier in order to diagnose mammographic images. We explain different methods and behaviors that have been added to the classifier to improve the performance of the classifier. Currently the initial Performance base Classifier with Bagging is proposed in the paper and it's been implemented and it shows an improvement in specificity and sensitivity.

  7. Application of Fractional Wave Packet Transform for Robust Watermarking of Mammograms.

    PubMed

    Siddaraju, Pushpa Mala; Jayadevappa, Devappa; Ezhilarasan, Kaliyamoorthy

    2015-01-01

    Exchanging of medical data requires efficient authentication and protection of medical data that can be illegally modified. Watermarking plays an important role in protecting, sharing, and securing medical data. In this work, a robust nonblind medical image watermarking scheme is proposed. The process involves two steps: the embedding and the extraction phase. During the embedding phase, l-level FRWPT is performed on the host image and the watermark is embedded into the modified reference image. In the second phase, inverse FRWPT is performed on the watermarked image to extract the watermark from the watermarked image. The proposed scheme is tested on mammograms images and is subjected to common attacks like Gaussian filtering, median filtering, compression, sharpening, and contrast adjustments. Experimental results show that the proposed scheme is robust.

  8. Classification based micro-calcification detection using discriminative restricted Boltzmann machine in digitized mammograms

    NASA Astrophysics Data System (ADS)

    Shin, SeungYeon; Lee, Soochan; Yun, Il Dong

    2014-03-01

    We present a new method for automatic detection of micro-calcifications using the Discriminative Restricted Boltzmann Machine (DRBM). The DRBM is used to automatically learn the specific features which distinguish micro-calcifications from normal tissue as well as their morphological variations. Within the DRBM, low level image structures that are specific features of micro-calcifications are automatically captured without any appropriate feature selection based on expert knowledge or time-consuming hand-tuning, which was required for previous methods. Experimental evaluation conducted on a set of 33 mammograms gave a result of area under Receiver Operating Characteristics (ROC) curve 0.8294, which showed the effectiveness of the proposed method.

  9. Application of Fractional Wave Packet Transform for Robust Watermarking of Mammograms

    PubMed Central

    Siddaraju, Pushpa Mala; Jayadevappa, Devappa; Ezhilarasan, Kaliyamoorthy

    2015-01-01

    Exchanging of medical data requires efficient authentication and protection of medical data that can be illegally modified. Watermarking plays an important role in protecting, sharing, and securing medical data. In this work, a robust nonblind medical image watermarking scheme is proposed. The process involves two steps: the embedding and the extraction phase. During the embedding phase, l-level FRWPT is performed on the host image and the watermark is embedded into the modified reference image. In the second phase, inverse FRWPT is performed on the watermarked image to extract the watermark from the watermarked image. The proposed scheme is tested on mammograms images and is subjected to common attacks like Gaussian filtering, median filtering, compression, sharpening, and contrast adjustments. Experimental results show that the proposed scheme is robust. PMID:26770193

  10. Iterative method for automatic detection of masses in digital mammograms for computer-aided diagnosis

    NASA Astrophysics Data System (ADS)

    Martinez, Victor G.; Gamo, Daniel M.; Rios, Juan; Vilarrasa, Amparo

    1999-05-01

    An iterative algorithm has been developed for automatic detection of breast masses from digitalized mammograms. The procedure has been divided in two stages. The first one based on the histogram analysis of the input image. The second one employs a topological analysis from the results obtained in the first stage. The final output is a set of interest regions that are defined as suspicious areas by the system. These suspicious regions should be harder studied in order to present a final diagnosis. The developed system may be used together with any other suspicious area diagnosis algorithms. In this way a computer assisted diagnosis (CAD) program to assist radiologists in his mammography interpretation task could be easy developed.

  11. Race/Ethnicity and the Socioeconomic Status Gradient in Women’s Cancer Screening Utilization: A Case of Diminishing Returns?

    PubMed Central

    Monnat, Shannon M.

    2014-01-01

    Using three years (2006, 2008, 2010) of nationally representative data from the Behavioral Risk Factor Surveillance System, I assessed the socioeconomic status (SES) gradient for odds of receiving a mammogram in the past two years and a Pap test in the past three years among White, Black, Hispanic, and Asian women living in the U.S. Mammogram and Pap test utilization were less likely among low-SES women. However, women of color experience less benefit than Whites from increasing SES for both screenings; as income and education increased, White women experienced more pronounced increases in the likelihood of being screened than did women of color. In what might be referred to as paradoxical returns, Asian women actually experienced a decline in the likelihood of obtaining a recent Pap test at higher levels of education. My findings suggest that women of color differ from Whites in the extent to which increasing socioeconomic resources is associated with increasing cancer screening utilization. PMID:24509030

  12. Learning distance metrics for interactive search-assisted diagnosis of mammograms

    NASA Astrophysics Data System (ADS)

    Yang, Liu; Jin, Rong; Sukthankar, Rahul; Zheng, Bin; Mummert, Lily; Satyanarayanan, M.; Chen, Mei; Jukic, Drazen

    2007-03-01

    The goal of interactive search-assisted diagnosis (ISAD) is to enable doctors to make more informed decisions about a given case by providing a selection of similar annotated cases. For instance, a radiologist examining a suspicious mass could study labeled mammograms with similar conditions and weigh the outcome of their biopsy results before determining whether to recommend a biopsy. The fundamental challenge in developing ISAD systems is the identification of similar cases, not simply in terms of superficial image characteristics, but in a medically-relevant sense. This task involves three aspects: extraction of a representative set of features, identifying an appropriate measure of similarity in the high-dimensional feature space, and return the most similar matches at interactive speed. The first has been an active research area for several decades. The second has largely been ignored by the medical imaging community. The third can be achieved using the Diamond framework, an open-source platform that enables efficient exploration of large distributed complex data repositories. This paper focuses on the second aspect. We show that the choice of distance metric affects the accuracy of an ISAD system and that machine learning enables the construction of effective domain-specific distance metrics. In the learned distance, data points with the same labels (e.g., malignant masses) are closer than data points with different labels (e.g., malignant vs. benign). Thus, the labels of the near neighbors of a new case are likely to be informative. We present and evaluate several novel methods for distance metric learning and evaluate them on a database involving 2522 mass regions of interest (ROI) extracted from digital mammograms, with ground truth defined by biopsy results (1800 malignant, 722 benign). Our results show that learned distance metrics improve both classification (ROC curve) and retrieval performance.

  13. Automatic identification of pectoralis muscle on digital cranio-caudal-view mammograms

    NASA Astrophysics Data System (ADS)

    Ge, Mei; Mawdsley, Gordon; Yaffe, Martin

    2011-03-01

    To improve efficiency and reduce human error in the computerized calculation of volumetric breast density, we have developed an automatic identification process which suppresses the projected region of the pectoralis muscle on digital CC-view mammograms. The pixels in the image of the pectoralis muscle, represent dense tissue, but not related to risk, will cause an error in estimated breast density if counted as fibroglandular tissue. The pectoralis muscle on the CC-view is not always visible and has variable shape and location. Our algorithm robustly detects the existence of the pectoralis in the image and segments it as a semi-elliptical region that closely matches manually segmented images. We present a pipeline where adaptive thresholding and distance transforms have been used in the initial pectoralis region identification process; statistical region growing is applied to explore the region within the identified location aimed at refining the boundary; and a 2D shape descriptor is developed for the target validation: the segmented region is identified as the pectoralis muscle if it has a semi-elliptical contour. After the pectoralis muscle is identified, a 1D-FFT filtering is used for boundary smoothing. Quantitative evaluation was performed by comparing manual segmentation by a trained operator, and analysis using the algorithm in a set of 174 randomly selected digital mammograms. Use of the algorithm is shown to improve accuracy in the automatic determination of the volumetric ratio of breast composition by removal of the pectoralis muscle from both the numerator and denominator. As well, it greatly improves the efficiency and throughput in large scale volumetric mammographic density studies where previously interaction with an operator was required to obtain that level of accuracy.

  14. "5 mins of uncomfyness is better than dealing with cancer 4 a lifetime": an exploratory qualitative analysis of cervical and breast cancer screening dialogue on Twitter.

    PubMed

    Lyles, Courtney R; López, Andrea; Pasick, Rena; Sarkar, Urmimala

    2013-03-01

    Twitter.com is a "micro-blogging" website. Although Twitter use is growing rapidly, little is known about health behavior discussions on this site, even though a majority of messages are publicly available. We retrieved publicly available Twitter messages during a 5-week period in early 2012, searching separately for the terms "Pap smear" and "mammogram." We used content analysis to code each 140-character message, generating a separate coding framework for each cancer screening term and calculating the frequencies of comments. Using the brief account description, we also coded the author as individual, organization, or news media outlet. There were 203 Pap smear and 271 mammogram messages coded, over three fourths of which were from individual accounts. Overall, 22 % of Pap smear messages and 25 % of mammogram messages discussed personal experiences, including attending appointments, negative sentiment about the procedure, and results. Other messages from both individuals and organizations (8 % Pap smear, 18 % mammogram) promoted screening. About one quarter of the messages expressed personal experiences with cancer screening. This demonstrates that Twitter can be a rich source of information and could be used to design new health-related interventions.

  15. Cervical cancer screening.

    PubMed Central

    Katz, A.

    1998-01-01

    OBJECTIVE: To review the role of family physicians in screening for cancer of the cervix, to review the evidence for screening, in particular, frequency and technique for screening, and to review the reasons cervical cancer has not been prevented and the role of family physicians in addressing these failures. QUALITY OF EVIDENCE: The value of screening has been established with level II evidence. Many of the unresolved issues are not supported either way by good evidence; level II and III evidence predominates. MAIN FINDINGS: In Canada, 1350 women were predicted to be diagnosed with cancer of the cervix in 1996. Most of these women had not been screened. Minority, rural, low-income, and older women face important barriers to screening. Family physicians have a role in reaching out to these women to provide effective health care, including cancer screening. When cancer screening is performed, it should conform to recommended techniques with appropriate follow up of abnormal test results. CONCLUSIONS: Family physicians have an important role in preventing cancer of the cervix. Efforts should be concentrated on encouraging a greater proportion of eligible women to be screened. Criteria are suggested for effective screening. PMID:9721422

  16. Diagnostic Accuracy of Digital Screening Mammography with and without Computer-aided Detection

    PubMed Central

    Lehman, Constance D.; Wellman, Robert D.; Buist, Diana S.M.; Kerlikowske, Karla; Tosteson, Anna N. A.; Miglioretti, Diana L.

    2016-01-01

    Importance After the Food and Drug Administration (FDA) approved computer-aided detection (CAD) for mammography in 1998, and Centers for Medicare and Medicaid Services (CMS) provided increased payment in 2002, CAD technology disseminated rapidly. Despite sparse evidence that CAD improves accuracy of mammographic interpretations, and costs over $400 million dollars a year, CAD is currently used for the majority of screening mammograms in the U.S. Objective To measure performance of digital screening mammography with and without computer-aided detection in U.S. community practice. Design, Setting and Participants We compared the accuracy of digital screening mammography interpreted with (N=495,818) vs. without (N=129,807) computer-aided detection from 2003 through 2009 in 323,973 women. Mammograms were interpreted by 271 radiologists from 66 facilities in the Breast Cancer Surveillance Consortium. Linkage with tumor registries identified 3,159 breast cancers in 323,973 women within one year of the screening. Main Outcomes and Measures Mammography performance (sensitivity, specificity, and screen detected and interval cancers per 1,000 women) was modeled using logistic regression with radiologist-specific random effects to account for correlation among examinations interpreted by the same radiologist, adjusting for patient age, race/ethnicity, time since prior mammogram, exam year, and registry. Conditional logistic regression was used to compare performance among 107 radiologists who interpreted mammograms both with and without computer-aided detection. Results Screening performance was not improved with computer-aided detection on any metric assessed. Mammography sensitivity was 85.3% (95% confidence interval [CI]=83.6–86.9) with and 87.3% (95% CI 84.5–89.7) without computer-aided detection. Specificity was 91.6% (95% CI=91.0–92.2) with and 91.4% (95% CI=90.6–92.0) without computer-aided detection. There was no difference in cancer detection rate (4

  17. Design and evaluation of a theory-based, culturally relevant outreach model for breast and cervical cancer screening for Latina immigrants

    PubMed Central

    White, Kari; Garces, Isabel C.; Bandura, Lisa; McGuire, Allison A.; Scarinci, Isabel C.

    2013-01-01

    Objectives Breast and cervical cancer are common among Latinas, but screening rates among foreign-born Latinas are relatively low. In this article we describe the design and implementation of a theory-based (PEN-3) outreach program to promote breast and cervical cancer screening to Latina immigrants, and evaluate the program’s effectiveness. Methods We used data from self-administered questionnaires completed at six annual outreach events to examine the sociodemographic characteristics of attendees and evaluate whether the program reached the priority population – foreign-born Latina immigrants with limited access to health care and screening services. To evaluate the program’s effectiveness in connecting women to screening, we examined the proportion and characteristics of women who scheduled and attended Pap smear and mammography appointments. Results Among the 782 Latinas who attended the outreach program, 60% and 83% had not had a Pap smear or mammogram, respectively, in at least a year. Overall, 80% scheduled a Pap smear and 78% scheduled a mammogram. Women without insurance, who did not know where to get screening and had not been screened in the last year were more likely to schedule appointments (p < 0.05). Among women who scheduled appointments, 65% attended their Pap smear and 79% attended the mammogram. We did not identify significant differences in sociodemographic characteristics associated with appointment attendance. Conclusions Using a theoretical approach to outreach design and implementation, it is possible to reach a substantial number of Latina immigrants and connect them to cancer screening services. PMID:22870569

  18. Screening for Open Neural Tube Defects.

    PubMed

    Krantz, David A; Hallahan, Terrence W; Carmichael, Jonathan B

    2016-06-01

    Biochemical prenatal screening was initiated with the use of maternal serum alpha fetoprotein to screen for open neural tube defects. Screening now includes multiple marker and sequential screening protocols involving serum and ultrasound markers to screen for aneuploidy. Recently cell-free DNA screening for aneuploidy has been initiated, but does not screen for neural tube defects. Although ultrasound is highly effective in identifying neural tube defects in high-risk populations, in decentralized health systems maternal serum screening still plays a significant role. Abnormal maternal serum alpha fetoprotein alone or in combination with other markers may indicate adverse pregnancy outcome in the absence of open neural tube defects. PMID:27235920

  19. Priming cases disturb visual search patterns in screening mammography

    NASA Astrophysics Data System (ADS)

    Lewis, Sarah J.; Reed, Warren M.; Tan, Alvin N. K.; Brennan, Patrick C.; Lee, Warwick; Mello-Thoms, Claudia

    2015-03-01

    Rationale and Objectives: To investigate the effect of inserting obvious cancers into a screening set of mammograms on the visual search of radiologists. Previous research presents conflicting evidence as to the impact of priming in scenarios where prevalence is naturally low, such as in screening mammography. Materials and Methods: An observer performance and eye position analysis study was performed. Four expert breast radiologists were asked to interpret two sets of 40 screening mammograms. The Control Set contained 36 normal and 4 malignant cases (located at case # 9, 14, 25 and 37). The Primed Set contained the same 34 normal and 4 malignant cases (in the same location) plus 2 "primer" malignant cases replacing 2 normal cases (located at positions #20 and 34). Primer cases were defined as lower difficulty cases containing salient malignant features inserted before cases of greater difficulty. Results: Wilcoxon Signed Rank Test indicated no significant differences in sensitivity or specificity between the two sets (P > 0.05). The fixation count in the malignant cases (#25, 37) in the Primed Set after viewing the primer cases (#20, 34) decreased significantly (Z = -2.330, P = 0.020). False-Negatives errors were mostly due to sampling in the Primed Set (75%) in contrast to in the Control Set (25%). Conclusion: The overall performance of radiologists is not affected by the inclusion of obvious cancer cases. However, changes in visual search behavior, as measured by eye-position recording, suggests visual disturbance by the inclusion of priming cases in screening mammography.

  20. Economically disadvantaged females' perceptions of breast cancer and breast cancer screening.

    PubMed Central

    Price, J. H.

    1994-01-01

    This study examined 500 economically disadvantaged females' perceptions and screening practices regarding breast cancer. The vast majority of respondents did not identify themselves, or economically disadvantaged women in general, as more susceptible to breast cancer. Those who were the most knowledgeable about breast cancer were significantly more likely than the least knowledgeable to perceive themselves as more susceptible to breast cancer, to perceive breast cancer as less severe, to perceive fewer barriers, and to perceive more benefits to screening for breast cancer. Fifty-four percent of the women claimed they had previously had a mammogram. A series of t-tests were conducted to see if breast cancer knowledge or health beliefs would discriminate between those who had and those who had not had a mammogram. The only difference between the two groups was that those who had a mammogram were more likely to perceive greater benefits of mammography screening. The results of this survey indicate that there is considerable room for improvement in knowledge, perceptions, and practices of economically disadvantaged women regarding breast cancer. PMID:7861468

  1. Cancer Screening Behaviors of African American Women Enrolled in a Community-Based Cancer Prevention Trial

    PubMed Central

    Reiter, Paul L.

    2011-01-01

    Abstract Background African American women have increased mortality rates for cervical, breast, and colorectal cancers, yet not all receive the recommended screening tests for these cancers. We characterized the cancer screening behaviors of African American women enrolled in a community-based cancer prevention trial. Methods We examined cross-sectional data from 1123 African American customers aged ≥18 years from 37 beauty salons in North Carolina who completed the North Carolina BEAUTY and Health Project baseline survey. Mixed logistic regression models were used to identify correlates of receiving cervical, breast, and colorectal cancer screening tests within recommended screening guidelines. Results Overall, 94% (1026 of 1089) of women aged ≥18 years reported receiving a Pap smear test within the last 3 years, 70% (298 of 425) of women aged ≥40 years reported receiving a mammography within the last year, and 64% (116 of 180) of women aged ≥50 years were considered to be within recommended screening guidelines for colorectal cancer. Age was correlated with recent Pap smear testing and mammography. Women who reported receiving a recent Pap smear test were more likely to report a mammogram in the last year, and women with a recent mammogram were more likely to be within recommended screening guidelines for colorectal cancer. Many women reported multiple barriers to getting recommended cancer screening tests. Conclusions Almost all women reported receiving a Pap smear test within the last 3 years. Future interventions should focus on increasing breast and colorectal cancer screening among African American women. PMID:21332413

  2. Mammograms on-the-go—predictors of repeat visits to mobile mammography vans in St Louis, Missouri, USA: a case–control study

    PubMed Central

    Drake, Bettina F; Abadin, Salmafatima S; Lyons, Sarah; Chang, Su-Hsin; Steward, Lauren T; Kraenzle, Susan

    2015-01-01

    Objectives Among women, breast cancer is the most common non-cutaneous cancer and second most common cause of cancer-related death. The purpose of this study was to determine the extent to which women use mobile mammography vans for breast cancer screening and what factors are associated with repeat visits to these vans. Design A case–control study. Cases are women who had a repeat visit to the mammography van. (n=2134). Participants Women who received a mammogram as part of Siteman Cancer Center's Breast Health Outreach Program responded to surveys and provided access to their clinical records (N=8450). Only visits from 2006 to 2014 to the mammography van were included. Outcome measures The main outcome is having a repeat visit to the mammography van. Among the participants, 25.3% (N=2134) had multiple visits to the mobile mammography van. Data were analysed using χ2 tests, logistic regression and negative binomial regression. Results Women who were aged 50–65, uninsured, or African-American had higher odds of a repeat visit to the mobile mammography van compared with women who were aged 40–50, insured, or Caucasian (OR=1.135, 95% CI 1.013 to 1.271; OR=1.302, 95% CI 1.146 to 1.479; OR=1.281, 95% CI 1.125 to 1.457), respectively. However, the odds of having a repeat visit to the van were lower among women who reported a rural ZIP code or were unemployed compared with women who provided a suburban ZIP code or were employed (OR=0.503, 95% CI 0.411 to 0.616; OR=.868, 95% CI 0.774 to 0.972), respectively. Conclusion This study has identified key characteristics of women who are either more or less likely to use mobile mammography vans as their primary source of medical care for breast cancer screening and have repeat visits. PMID:25795693

  3. Estimation of stress relaxation time for normal and abnormal breast phantoms using optical technique

    NASA Astrophysics Data System (ADS)

    Udayakumar, K.; Sujatha, N.

    2015-03-01

    Many of the early occurring micro-anomalies in breast may transform into a deadliest cancer tumor in future. Probability of curing early occurring abnormalities in breast is more if rightly identified. Even in mammogram, considered as a golden standard technique for breast imaging, it is hard to pick up early occurring changes in the breast tissue due to the difference in mechanical behavior of the normal and abnormal tissue when subjected to compression prior to x-ray or laser exposure. In this paper, an attempt has been made to estimate the stress relaxation time of normal and abnormal breast mimicking phantom using laser speckle image correlation. Phantoms mimicking normal breast is prepared and subjected to precise mechanical compression. The phantom is illuminated by a Helium Neon laser and by using a CCD camera, a sequence of strained phantom speckle images are captured and correlated by the image mean intensity value at specific time intervals. From the relation between mean intensity versus time, tissue stress relaxation time is quantified. Experiments were repeated for phantoms with increased stiffness mimicking abnormal tissue for similar ranges of applied loading. Results shows that phantom with more stiffness representing abnormal tissue shows uniform relaxation for varying load of the selected range, whereas phantom with less stiffness representing normal tissue shows irregular behavior for varying loadings in the given range.

  4. [Hair shaft abnormalities].

    PubMed

    Itin, P H; Düggelin, M

    2002-05-01

    Hair shaft disorders may lead to brittleness and uncombable hair. In general the hair feels dry and lusterless. Hair shaft abnormalities may occur as localized or generalized disorders. Genetic predisposition or exogenous factors are able to produce and maintain hair shaft abnormalities. In addition to an extensive history and physical examination the most important diagnostic examination to analyze a hair shaft problem is light microscopy. Therapy of hair shaft disorders should focus to the cause. In addition, minimizing traumatic influences to hair shafts, such as dry hair with an electric dryer, permanent waves and dyes is important. A short hair style is more suitable for such patients with hair shaft disorders.

  5. Computed Tomography for Coronary Artery Calcification Scoring: Mammogram for the Heart.

    PubMed

    Qazi, Abdul H; Zallaghi, Forough; Torres-Acosta, Noel; Thompson, Randall C; O'Keefe, James H

    2016-01-01

    Coronary artery calcium (CAC), identified via low-radiation, non-contrast computed tomography of the heart, quantifies the burden of calcified coronary atherosclerosis. This modality is highly useful for cardiovascular (CV) risk stratification among individuals without known coronary heart disease (CHD), especially for those at intermediate risk. The presence of CAC is associated with up to a 10-fold higher risk of adverse CV events, even after fully adjusting for the standard CV risk factors. In fact, the CAC score is among the strongest clinically available predictors of future risk of adverse CV events among primary prevention patients. Additionally, the absence of CAC in asymptomatic individuals confers a very low risk of CV events. Even in the presence of a benign CV risk factor profile and normal cardiac stress test, a very high CAC score portends a high risk of adverse CV events. On the other hand, a CAC score of zero is associated with a low CHD risk despite significant CV risk factor profiles. CAC scoring is a quick, low-cost screening tool to help risk-stratify patients and identify those likely to benefit from aggressive preventive treatments (such as high-intensity statin therapy, ezetimibe, PCSK9 inhibitors, and aspirin) and to identify those likely who warrant close monitoring. Moreover, individuals with a zero CAC score may be at low enough risk to avoid or defer daily aspirin therapy and pharmacological therapy for cholesterol management, and instead work on therapeutic lifestyle changes. An abnormal CAC score may also lead to better adherence to pharmacological regimens and suggested lifestyle changes. PMID:26892393

  6. Ocular screening tests of elementary school children

    NASA Technical Reports Server (NTRS)

    Richardson, J.

    1983-01-01

    This report presents an analysis of 507 abnormal retinal reflex images taken of Huntsville kindergarten and first grade students. The retinal reflex images were obtained by using an MSFC-developed Generated Retinal Reflex Image System (GRRIS) photorefractor. The system uses a 35 mm camera with a telephoto lens with an electronic flash attachment. Slide images of the eyes were examined for abnormalities. Of a total of 1835 students screened for ocular abnormalities, 507 were found to have abnormal retinal reflexes. The types of ocular abnormalities detected were hyperopia, myopia, astigmatism, esotropia, exotropia, strabismus, and lens obstuctions. The report shows that the use of the photorefractor screening system is an effective low-cost means of screening school children for abnormalities.

  7. Mammographic screening for breast cancer. Overdiagnosis: an insidious adverse effect of screening.

    PubMed

    2015-07-01

    Mammographic mass screening for breast cancer sometimes detects tumours that would grow so slowly that the women concerned would die from other causes before developing noteworthy symptoms. This "overdiagnosis" unnecessarily exposes women to cancer treatments and their adverse effects. To assess the risk of overdiagnosis during mammographic mass screening for breast cancer, we conducted a review of the literature using the standard Prescrire methodology. The most reliable estimates of overdiagnosis are obtained by deduction, based on data from randomised trials with lengthy post-screening follow-up. A randomised trial in Sweden and two in Canada compared screening versus no screening, and monitored the women for an average of 15 and 17 years after the end of screening. For every 10 000 women who were screened, there were 63 cases of breast cancer overdiagnosis in the Swedish trial and 26 in the Canadian trials, representing about 25% of all cancers diagnosed by screening. This rate of overdiagnosis is probably on the low side, as about 20% of the women in the unscreened control groups had at least one mammogram. Studies of the general female population confirm that mammographic mass screening leads to overdiagnosis, but the results add little to those of randomised trials. In 2015, the most reliable estimate is that at least 25% of breast cancers detected by screening mammography are overdiagnosed. In France, at least 19 breast cancers would be overdiagnosed for every 1000 women screened during a 20-year period, corresponding to a total of about 3800 overdiagnosed cancers for each year of mass screening. Women must be informed of the risk of overdiagnosis and its consequences in terms of unnecessary treatment, along with other factors influencing the harm-benefit balance. See page 190 for our proposals on how to inform women wondering whether or not to undergo mammographic screening. PMID:26240891

  8. Aneuploidy Screening in Pregnancy.

    PubMed

    Dashe, Jodi S

    2016-07-01

    Prenatal aneuploidy screening has changed dramatically in recent years with increases in the types of chromosomal abnormalities reliably identified and in the proportion of aneuploid fetuses detected. Initially, screening was available only for trisomies 21 and 18 and was offered only to low-risk pregnancies. Improved detection with the quadruple- and first-trimester multiple marker screens led to the option of aneuploidy screening for women 35 years of age and older. Cell-free DNA tests now screen for common autosomal trisomies and sex chromosome aneuploidies. Cell-free DNA screening is particularly effective in older women because of higher positive predictive values and lower false-positive rates. Integrated first- and second-trimester multiple marker tests provide specific risks for trisomies 21, 18, and possibly 13, and may detect an even wider range of aneuploidies. Given current precision in risk assessment, based on maternal age and preferences for screening or diagnostic tests, counseling has become more complex. This review addresses the benefits and limitations of available aneuploidy screening methods along with counseling considerations when offering them. PMID:27275786

  9. Automated regional registration and characterization of corresponding microcalcification clusters on temporal pairs of mammograms for interval change analysis

    SciTech Connect

    Filev, Peter; Hadjiiski, Lubomir; Chan, Heang-Ping; Sahiner, Berkman; Ge Jun; Helvie, Mark A.; Roubidoux, Marilyn; Zhou Chuan

    2008-12-15

    A computerized regional registration and characterization system for analysis of microcalcification clusters on serial mammograms is being developed in our laboratory. The system consists of two stages. In the first stage, based on the location of a detected cluster on the current mammogram, a regional registration procedure identifies the local area on the prior that may contain the corresponding cluster. A search program is used to detect cluster candidates within the local area. The detected cluster on the current image is then paired with the cluster candidates on the prior image to form true (TP-TP) or false (TP-FP) pairs. Automatically extracted features were used in a newly designed correspondence classifier to reduce the number of false pairs. In the second stage, a temporal classifier, based on both current and prior information, is used if a cluster has been detected on the prior image, and a current classifier, based on current information alone, is used if no prior cluster has been detected. The data set used in this study consisted of 261 serial pairs containing biopsy-proven calcification clusters. An MQSA radiologist identified the corresponding clusters on the mammograms. On the priors, the radiologist rated the subtlety of 30 clusters (out of the 261 clusters) as 9 or 10 on a scale of 1 (very obvious) to 10 (very subtle). Leave-one-case-out resampling was used for feature selection and classification in both the correspondence and malignant/benign classification schemes. The search program detected 91.2%(238/261) of the clusters on the priors with an average of 0.42 FPs/image. The correspondence classifier identified 86.6%(226/261) of the TP-TP pairs with 20 false matches (0.08 FPs/image) relative to the entire set of 261 image pairs. In the malignant/benign classification stage the temporal classifier achieved a test A{sub z} of 0.81 for the 246 pairs which contained a detection on the prior. In addition, a classifier was designed by using the

  10. Morphological abnormalities in elasmobranchs.

    PubMed

    Moore, A B M

    2015-08-01

    A total of 10 abnormal free-swimming (i.e., post-birth) elasmobranchs are reported from The (Persian-Arabian) Gulf, encompassing five species and including deformed heads, snouts, caudal fins and claspers. The complete absence of pelvic fins in a milk shark Rhizoprionodon acutus may be the first record in any elasmobranch. Possible causes, including the extreme environmental conditions and the high level of anthropogenic pollution particular to The Gulf, are briefly discussed.

  11. Front-End Data Reduction in Computer-Aided Diagnosis of Mammograms: A Pilot Study

    SciTech Connect

    Gleason, S.S.; Nishikawa, R.M.; Sari-Sarraf, H.

    1999-02-20

    This paper presents the results of a pilot study whose primary objective was to further substantiate the efficacy of front-end data reduction in computer-aided diagnosis (CAD) of mammograms. This concept is realized by a preprocessing module that can be utilized at the front-end of most mammographic CAD systems. Based on fractal encoding, this module takes a mammo-graphic image as its input and generates, as its output, a collection of subregions called focus-of-attention regions (FARs). These FARs contain all structures in the input image that appear to be different from the normal background tissue. Subsequently, the CAD systems need only to process the presented FARs, rather than the entire input image. This accomplishes two objectives simultaneously: (1) an increase in throughput via a reduction in the input data, and (2) a reduction in false detections by limiting the scope of the detection algorithms to FARs only. The pilot study consisted of using the preprocessing module to analyze 80 mammographic images. The results were an average data reduction of 83% over all 80 images and an average false detection reduction of 86%. Furthermore, out of a total of 507 marked microcalcifications, 467 fell within FW, representing a coverage rate of 92%.

  12. Mass classification in mammogram with semi-supervised relief based feature selection

    NASA Astrophysics Data System (ADS)

    Liu, Xiaoming; Liu, Jun; Feng, Zhilin; Xu, Xin; Tang, J.

    2014-01-01

    Mammogram is currently the best way for early detection of breast cancer. Mass is a typical sign of breast cancer, and the classification of masses as malignant or benign may assist radiologists in reducing the biopsy rate without increasing false negatives. Typically, different geometry and texture features are extracted and utilized to train a classifier to classify a mass. However, not each feature is equally important for a classifier, and some features may indeed decrease the performance of a classifier. In this paper, we investigated the usage of semi-supervised feature selection method for classification. After a mass is extracted from a ROI (region of interest) with level set method. Morphological and texture features are extracted from the segmented regions and surrounding regions. SSLFE (Semi- Supervised Local Feature Extraction, proposed in our previous work) is utilized to select important features for KNN classifier. Mammography images from DDSM were used for experiment. The experimental result shows that by incorporating information embedded in unlabeled data, SSLFE can improve the performance compared to the method without feature selection and traditional Relief method.

  13. A novel featureless approach to mass detection in digital mammograms based on support vector machines

    NASA Astrophysics Data System (ADS)

    Campanini, Renato; Dongiovanni, Danilo; Iampieri, Emiro; Lanconelli, Nico; Masotti, Matteo; Palermo, Giuseppe; Riccardi, Alessandro; Roffilli, Matteo

    2004-03-01

    In this work, we present a novel approach to mass detection in digital mammograms. The great variability of the appearance of masses is the main obstacle to building a mass detection method. It is indeed demanding to characterize all the varieties of masses with a reduced set of features. Hence, in our approach we have chosen not to extract any feature, for the detection of the region of interest; in contrast, we exploit all the information available on the image. A multiresolution overcomplete wavelet representation is performed, in order to codify the image with redundancy of information. The vectors of the very-large space obtained are then provided to a first support vector machine (SVM) classifier. The detection task is considered here as a two-class pattern recognition problem: crops are classified as suspect or not, by using this SVM classifier. False candidates are eliminated with a second cascaded SVM. To further reduce the number of false positives, an ensemble of experts is applied: the final suspect regions are achieved by using a voting strategy. The sensitivity of the presented system is nearly 80% with a false-positive rate of 1.1 marks per image, estimated on images coming from the USF DDSM database.

  14. A novel featureless approach to mass detection in digital mammograms based on support vector machines.

    PubMed

    Campanini, Renato; Dongiovanni, Danilo; Iampieri, Emiro; Lanconelli, Nico; Masotti, Matteo; Palermo, Giuseppe; Riccardi, Alessandro; Roffilli, Matteo

    2004-03-21

    In this work, we present a novel approach to mass detection in digital mammograms. The great variability of the appearance of masses is the main obstacle to building a mass detection method. It is indeed demanding to characterize all the varieties of masses with a reduced set of features. Hence, in our approach we have chosen not to extract any feature, for the detection of the region of interest; in contrast, we exploit all the information available on the image. A multiresolution overcomplete wavelet representation is performed, in order to codify the image with redundancy of information. The vectors of the very-large space obtained are then provided to a first support vector machine (SVM) classifier. The detection task is considered here as a two-class pattern recognition problem: crops are classified as suspect or not, by using this SVM classifier. False candidates are eliminated with a second cascaded SVM. To further reduce the number of false positives, an ensemble of experts is applied: the final suspect regions are achieved by using a voting strategy. The sensitivity of the presented system is nearly 80% with a false-positive rate of 1.1 marks per image, estimated on images coming from the USF DDSM database. PMID:15104319

  15. Learning contextual relationships in mammograms using a hierarchical pyramid neural network.

    PubMed

    Sajda, Paul; Spence, Clay; Pearson, John

    2002-03-01

    This paper describes a pattern recognition architecture, which we term hierarchical pyramid/neural network (HPNN), that learns to exploit image structure at multiple resolutions for detecting clinically significant features in digital/digitized mammograms. The HPNN architecture consists of a hierarchy of neural networks, each network receiving feature inputs at a given scale as well as features constructed by networks lower in the hierarchy. Networks are trained using a novel error function for the supervised learning of image search/detection tasks when the position of the objects to be found is uncertain or ill defined. We have evaluated the HPNN's ability to eliminate false positive (FP) regions of interest generated by the University of Chicago's (UofC) Computer-aided diagnosis (CAD) systems for microcalcification and mass detection. Results show that the HPNN architecture, trained using the uncertain object position (UOP) error function, reduces the FP rate of a mammographic CAD system by approximately 50% without significant loss in sensitivity. Investigation into the types of FPs that the HPNN eliminates suggests that the pattern recognizer is automatically learning and exploiting contextual information. Clinical utility is demonstrated through the evaluation of an integrated system in a clinical reader study. We conclude that the HPNN architecture learns contextual relationships between features at multiple scales and integrates these features for detecting microcalcifications and breast masses.

  16. Detection of microcalcifications ROI in digital mammograms using two stages of neural networks

    NASA Astrophysics Data System (ADS)

    Lee, Yang-suk; Lim, Seung-Chul; Park, Dong-Sun

    2001-09-01

    In this paper, we present an efficient algorithm to detect microcalcifications ROI (Regions of Interest) in digital mammograms using two stages of neural networks. To efficiently detect microcalcifications ROI, we used four sequential processes; preprocessing for breast area detection, modified multilevel thresholding, ROI selection using simple thresholding filters and final ROI selection with two stages of neural networks. In modified multilevel thresholding, the shape property of microcalcification resulted from the gray-level difference with surroundings is used. This algorithm separates microcalcifications from tissues by applying the half-toning technique for different gray-levels. The first selection process with simple thresholding filters defines the filter parameters using the statistically extracted shape property and then it eliminates tissues, which are obviously recognized, to reduce the processing overhead in the next step. The final selection process using neural networks is to detect the ROI in two steps. Through the two stages of neural networks, ROIs with microcalcifications are selected. Each neural network compares and analyzes recognition performance after training. The ROI detection method for microcalcification used in this paper is the first stage for a CAD system. The designed ROI detection methods efficiently find 98.06% of with microcalcifications.

  17. An SVM classifier to separate false signals from microcalcifications in digital mammograms

    NASA Astrophysics Data System (ADS)

    Bazzani, Armando; Bevilacqua, Alessandro; Bollini, Dante; Brancaccio, Rosa; Campanini, Renato; Lanconelli, Nico; Riccardi, Alessandro; Romani, Davide

    2001-06-01

    In this paper we investigate the feasibility of using an SVM (support vector machine) classifier in our automatic system for the detection of clustered microcalcifications in digital mammograms. SVM is a technique for pattern recognition which relies on the statistical learning theory. It minimizes a function of two terms: the number of misclassified vectors of the training set and a term regarding the generalization classifier capability. We compare the SVM classifier with an MLP (multi-layer perceptron) in the false-positive reduction phase of our detection scheme: a detected signal is considered either microcalcification or false signal, according to the value of a set of its features. The SVM classifier gets slightly better results than the MLP one (Az value of 0.963 against 0.958) in the presence of a high number of training data; the improvement becomes much more evident (Az value of 0.952 against 0.918) in training sets of reduced size. Finally, the setting of the SVM classifier is much easier than the MLP one.

  18. Detection of clustered microcalcifications in masses on mammograms by artificial neural networks

    NASA Astrophysics Data System (ADS)

    Zhang, Xuejun; Hara, Takeshi; Fujita, Hiroshi; Iwase, Takuji; Endo, Tokiko

    2001-07-01

    The existence of a cluster of microcalcifications in mass area on mammogram is one of important features for distinguishing the breast cancer between benign and malignant. However, missed detections often occur because of its low subject contrast in denser background and small quantity of microcalcifications. To get a higher performance of detecting the cluster in mass area, we combined the shift-invariant artificial neural network (SIANN) with triple-ring filter (TRF) method in our computer-aided diagnosis (CAD) system. 150 region-of- interests around mass containing both of positive and negative microcalcifications were selected for training the network by a modified error-back-propagation algorithm. A variable-ring filter was used for eliminating the false- positive (FP) detections after the outputs of SIANN and TRF. The remained Fps were then reduced by a conventional three layer artificial neural network. Finally, the program identified clustered microcalcifications form individual microcalcifications. In a practical detection of 30 cases with 40 clusters in masses, the sensitivity of detecting clusters was improved form 90% by our previous method to 95% by using both SIANN and TRF, while the number of FP clusters was decreased from 0.85 to 0.40 cluster per image.

  19. Computerized classification of microcalcifications on mammograms using fuzzy logic and genetic algorithm

    NASA Astrophysics Data System (ADS)

    Lee, Yongbum; Tsai, Du-Yih

    2004-05-01

    The purpose of this study is to develop a computerized scheme for the discrimination between benign and malignant clustered microcalcifications that would aid radiologists in interpreting mammograms. In our scheme, microcalcifications in regions of interest (ROIs) are detected by using morphological filter. Then, four feature values including the total number, mean area, mean circularity and mean minimum distance of microcalcifications are calculated for classification. Gaussian-distributed membership functions used for fuzzy logic are determined from means and standard deviations of these feature values. Finally, fuzzy logic using the genetic-algorithm for optimization of membership functions is employed to classify clustered microcalcifications in unknown ROI. Our scheme was applied to twenty mammographic images with microcalcifications in the Mammographic Image Analysis Society database, containing thirteen benign and twelve malignant ROIs. Of the images ten each benign and malignant ROIs were used for training in fuzzy logic. The remaining five images were classified as benign or malignant cases by fuzzy logic. All sets of their combinations were employed to obtain the result. As the results, the average accuracy was approximately 88% (sensitivity: 100%, specificity: 77%), and Az value of ROC curve was 0.95.

  20. Three-dimensional reconstruction of clustered microcalcifications from two digitized mammograms

    NASA Astrophysics Data System (ADS)

    Stotzka, Rainer; Mueller, Tim O.; Epper, Wolfgang; Gemmeke, Hartmut

    1998-06-01

    X-ray mammography is one of the most significant diagnosis methods in early detection of breast cancer. Usually two X- ray images from different angles are taken from each mamma to make even overlapping structures visible. X-ray mammography has a very high spatial resolution and can show microcalcifications of 50 - 200 micron in size. Clusters of microcalcifications are one of the most important and often the only indicator for malignant tumors. These calcifications are in some cases extremely difficult to detect. Computer assisted diagnosis of digitized mammograms may improve detection and interpretation of microcalcifications and cause more reliable diagnostic findings. We build a low-cost mammography workstation to detect and classify clusters of microcalcifications and tissue densities automatically. New in this approach is the estimation of the 3D formation of segmented microcalcifications and its visualization which will put additional diagnostic information at the radiologists disposal. The real problem using only two or three projections for reconstruction is the big loss of volume information. Therefore the arrangement of a cluster is estimated using only the positions of segmented microcalcifications. The arrangement of microcalcifications is visualized to the physician by rotating.

  1. Chromosome abnormalities in glioma

    SciTech Connect

    Li, Y.S.; Ramsay, D.A.; Fan, Y.S.

    1994-09-01

    Cytogenetic studies were performed in 25 patients with gliomas. An interesting finding was a seemingly identical abnormality, an extra band on the tip of the short arm of chromosome 1, add(1)(p36), in two cases. The abnormality was present in all cells from a patient with a glioblastoma and in 27% of the tumor cells from a patient with a recurrent irradiated anaplastic astrocytoma; in the latter case, 7 unrelated abnormal clones were identified except 4 of those clones shared a common change, -Y. Three similar cases have been described previously. In a patient with pleomorphic astrocytoma, the band 1q42 in both homologues of chromosome 1 was involved in two different rearrangements. A review of the literature revealed that deletion of the long arm of chromosome 1 including 1q42 often occurs in glioma. This may indicate a possible tumor suppressor gene in this region. Cytogenetic follow-up studies were carried out in two patients and emergence of unrelated clones were noted in both. A total of 124 clonal breakpoints were identified in the 25 patients. The breakpoints which occurred three times or more were: 1p36, 1p22, 1q21, 1q25, 3q21, 7q32, 8q22, 9q22, 16q22, and 22q13.

  2. [Congenital foot abnormalities].

    PubMed

    Delpont, M; Lafosse, T; Bachy, M; Mary, P; Alves, A; Vialle, R

    2015-03-01

    The foot may be the site of birth defects. These abnormalities are sometimes suspected prenatally. Final diagnosis depends on clinical examination at birth. These deformations can be simple malpositions: metatarsus adductus, talipes calcaneovalgus and pes supinatus. The prognosis is excellent spontaneously or with a simple orthopedic treatment. Surgery remains outstanding. The use of a pediatric orthopedist will be considered if malposition does not relax after several weeks. Malformations (clubfoot, vertical talus and skew foot) require specialized care early. Clubfoot is characterized by an equine and varus hindfoot, an adducted and supine forefoot, not reducible. Vertical talus combines equine hindfoot and dorsiflexion of the forefoot, which is performed in the midfoot instead of the ankle. Skew foot is suspected when a metatarsus adductus is resistant to conservative treatment. Early treatment is primarily orthopedic at birth. Surgical treatment begins to be considered after walking age. Keep in mind that an abnormality of the foot may be associated with other conditions: malposition with congenital hip, malformations with syndromes, neurological and genetic abnormalities. PMID:25524290

  3. Dispelling myths about coagulation abnormalities in internal medicine.

    PubMed

    Thachil, Jecko

    2014-06-01

    The clotting screen is an 'integral' part of the routine blood tests in most medical wards. It is likely that only with the increasing requests for prothrombin time and activated partial thromboplastin time are abnormal results noted. Interpretation of these results requires good understanding of the coagulation system and problems with the laboratory analysis. Due to variable understanding of this complex system, many misconceptions have arisen in relation to the clinical effects expected from abnormal clotting screens. Some of these are discussed with considerations of appropriate management in those situations.

  4. Abnormal pressures as hydrodynamic phenomena

    USGS Publications Warehouse

    Neuzil, C.E.

    1995-01-01

    So-called abnormal pressures, subsurface fluid pressures significantly higher or lower than hydrostatic, have excited speculation about their origin since subsurface exploration first encountered them. Two distinct conceptual models for abnormal pressures have gained currency among earth scientists. The static model sees abnormal pressures generally as relict features preserved by a virtual absence of fluid flow over geologic time. The hydrodynamic model instead envisions abnormal pressures as phenomena in which flow usually plays an important role. This paper develops the theoretical framework for abnormal pressures as hydrodynamic phenomena, shows that it explains the manifold occurrences of abnormal pressures, and examines the implications of this approach. -from Author

  5. Effects of a Randomized Controlled Trial to Increase Repeat Mammography Screening in Iranian Women

    PubMed Central

    Taymoori, Parvaneh; Molina, Yamile; Roshani, Daem

    2014-01-01

    Background Although mammography use has increased in developed countries, regular screening in developing countries including Iran remains low. Multiple frameworks, including the Health Belief Model (HBM) and the Theory of Planned Behavior (TPB), have been used to understand screening practices among Iranians. The HBM includes intrapersonal constructs such as perceptions of breast cancer and mammography. The TPB includes interpersonal and environmental constructs, such as perceived control and subjective norms. Objectives The current study had 2 objectives: (1) to examine changes in the HBM and TPB constructs and repeat mammography screening in women receiving either intervention and women in the control group and (2) to compare changes in the HBM and TPB constructs and repeat mammography screening across the 2 interventions. Methods One hundred eight-four women from 3 randomly selected health centers in Sanandaj, Iran, participated. Eligibility criteria were being 50 years or older, having received a mammogram in the past 2 to 3 years, and no intention to obtain a mammogram within the next year. Results The TPB and HBM participants exhibited greater changes in the HBM and TPB constructs and were more likely to have a mammogram relative to control participants. The TPB and HBM participants exhibited comparable changes in constructs and repeat mammography. Conclusion Findings suggest both interventions equally improved mammography screening. Additional studies are furthermore warranted to address nonadherent Iranian women’s needs in line with these conceptual models. Implications for Practice Use of the HBM and TPB constructs in clinical practice may be helpful to promote continued screening among this population. PMID:25122130

  6. Sustaining Mammography Screening Among the Medically Underserved: A Follow-Up Evaluation

    PubMed Central

    Arnold, Connie L.; Bennett, Charles L.; Wolf, Michael S.; Liu, Dachao; Rademaker, Alfred

    2015-01-01

    Abstract Background: Our previous three-arm comparative effectiveness intervention in community clinic patients who were not up-to-date with screening resulted in mammography rates over 50% in all arms. Objective: Our aim was to evaluate the effectiveness and cost-effectiveness of the three interventions on improving biennial screening rates among eligible patients. Methods: A three-arm quasi-experimental evaluation was conducted in eight community clinics from 2008 to 2011. Screening efforts included (1) enhanced care: Participants received an in-person recommendation from a research assistant (RA) in year 1, and clinics followed usual clinic protocol for scheduling screening mammograms; (2) education intervention: Participants received education and in-person recommendation from an RA in year 1, and clinics followed usual clinic protocol for scheduling mammograms; or (3) nurse support: A nurse manager provided in-person education and recommendation, scheduled mammograms, and followed up with phone support. In all arms, mammography was offered at no cost to uninsured patients. Results: Of 624 eligible women, biennial mammography within 24–30 months of their previous test was performed for 11.0% of women in the enhanced-care arm, 7.1% in the education- intervention arm, and 48.0% in the nurse-support arm (p<0.0001). The incremental cost was $1,232 per additional woman undergoing screening with nurse support vs. enhanced care and $1,092 with nurse support vs. education. Conclusions: Biennial mammography screening rates were improved by providing nurse support but not with enhanced care or education. However, this approach was not cost-effective. PMID:25692910

  7. Feeling Abnormal: Simulation of Deviancy in Abnormal and Exceptionality Courses.

    ERIC Educational Resources Information Center

    Fernald, Charles D.

    1980-01-01

    Describes activity in which student in abnormal psychology and psychology of exceptional children classes personally experience being judged abnormal. The experience allows the students to remember relevant research, become sensitized to the feelings of individuals classified as deviant, and use caution in classifying individuals as abnormal.…

  8. Decision trees and integrated features for computer aided mammographic screening

    SciTech Connect

    Kegelmeyer, W.P. Jr.; Groshong, B.; Allmen, M.; Woods, K.

    1997-02-01

    Breast cancer is a serious problem, which in the United States causes 43,000 deaths a year, eventually striking 1 in 9 women. Early detection is the only effective countermeasure, and mass mammography screening is the only reliable means for early detection. Mass screening has many shortcomings which could be addressed by a computer-aided mammographic screening system. Accordingly, we have applied the pattern recognition methods developed in earlier investigations of speculated lesions in mammograms to the detection of microcalcifications and circumscribed masses, generating new, more rigorous and uniform methods for the detection of both those signs. We have also improved the pattern recognition methods themselves, through the development of a new approach to combinations of multiple classifiers.

  9. Health Care Access and Breast Cancer Screening Among Latinas Along the California–Mexican Border

    PubMed Central

    Malcarne, Vanessa L.; Foster-Fishman, Pennie G.; Davidson, William S.; Mumman, Manpreet K.; Riley, Natasha; Sadler, Georgia R.

    2013-01-01

    Latinas are more likely to exhibit late stage breast cancers at the time of diagnosis and have lower survival rates compared to white women. A contributing factor may be that Latinas have lower rates of mammography screening. This study was guided by the Behavioral Model of Health Services Use to examine factors associated with mammography screening utilization among middle-aged Latinas. An academic–community health center partnership collected data from community-based sample of 208 Latinas 40 years and older in the San Diego County who completed measures assessing psychosocial factors, health care access, and recent mammography screening. Results showed that 84.6 % had ever had a mammogram and 76.2 % of women had received a mammogram in the past 2 years. Characteristics associated with mammography screening adherence included a lower acculturation (OR 3.663) a recent physician visit in the past year (OR 6.304), and a greater confidence in filling out medical forms (OR 1.743), adjusting for covariates. Results demonstrate that an annual physical examination was the strongest predictor of recent breast cancer screening. Findings suggest that in this community, improving access to care among English-speaking Latinas and addressing health literacy issues are essential for promoting breast cancer screening utilization. PMID:24150421

  10. Health care access and breast cancer screening among Latinas along the California-Mexican border.

    PubMed

    Castañeda, Sheila F; Malcarne, Vanessa L; Foster-Fishman, Pennie G; Davidson, William S; Mumman, Manpreet K; Riley, Natasha; Sadler, Georgia R

    2014-08-01

    Latinas are more likely to exhibit late stage breast cancers at the time of diagnosis and have lower survival rates compared to white women. A contributing factor may be that Latinas have lower rates of mammography screening. This study was guided by the Behavioral Model of Health Services Use to examine factors associated with mammography screening utilization among middle-aged Latinas. An academic-community health center partnership collected data from community-based sample of 208 Latinas 40 years and older in the San Diego County who completed measures assessing psychosocial factors, health care access, and recent mammography screening. Results showed that 84.6 % had ever had a mammogram and 76.2 % of women had received a mammogram in the past 2 years. Characteristics associated with mammography screening adherence included a lower acculturation (OR 3.663) a recent physician visit in the past year (OR 6.304), and a greater confidence in filling out medical forms (OR 1.743), adjusting for covariates. Results demonstrate that an annual physical examination was the strongest predictor of recent breast cancer screening. Findings suggest that in this community, improving access to care among English-speaking Latinas and addressing health literacy issues are essential for promoting breast cancer screening utilization.

  11. Time perspective and perceived risk as related to mammography screening.

    PubMed

    Griva, Fay; Anagnostopoulos, Fotios; Potamianos, Gregory

    2013-01-01

    The present study explored the relation of time perspective to perceived risk for breast cancer and mammography screening. Women free from breast cancer (N = 194), eligible for mammography screening in terms of age, completed the Zimbardo Time Perspective Inventory (Zimbardo & Boyd, 1999) and measures of perceived risk, attitude toward performing mammography screening, intention to get a mammogram, and mammography screening behavior. Hierarchical multiple regression analysis revealed that perceived risk of breast cancer (β= .18, p < .01) and intention to be screened (β = .35, p < .01) were significantly associated with mammography screening, after controlling for the effects of sociodemographic (e.g., age, education, and economic level) and health-related variables (e.g., family history of breast cancer and previous benign breast disease). Path analyses including the main psychological variables indicated that perceived risk was indirectly related to intention via attitude (β = .17, p < .01), and to mammography screening through attitude and intention (β = .06, p < .01). Attitude was indirectly related to mammography screening via intention (β = .20, p < .01). Also, a significant indirect association was observed between future orientation and mammography screening, via perceived risk (β = .10, p < .01). Theoretical implications of study findings and suggestions for future research on use of mammography are presented.

  12. Abnormal human sex chromosome constitutions

    SciTech Connect

    1993-12-31

    Chapter 22, discusses abnormal human sex chromosome constitution. Aneuploidy of X chromosomes with a female phenotype, sex chromosome aneuploidy with a male phenotype, and various abnormalities in X chromosome behavior are described. 31 refs., 2 figs.

  13. Exercises to Improve Gait Abnormalities

    MedlinePlus

    ... Home About iChip Articles Directories Videos Resources Contact Exercises to Improve Gait Abnormalities Home » Article Categories » Exercise and Fitness Font Size: A A A A Exercises to Improve Gait Abnormalities Next Page The manner ...

  14. Quantification of mammographic masking risk with volumetric breast density maps: how to select women for supplemental screening

    NASA Astrophysics Data System (ADS)

    Holland, Katharina; van Gils, Carla H.; Wanders, Johanna OP; Mann, Ritse M.; Karssemeijer, Nico

    2016-03-01

    The sensitivity of mammograms is low for women with dense breasts, since cancers may be masked by dense tissue. In this study, we investigated methods to identify women with density patterns associated with a high masking risk. Risk measures are derived from volumetric breast density maps. We used the last negative screening mammograms of 93 women who subsequently presented with an interval cancer (IC), and, as controls, 930 randomly selected normal screening exams from women without cancer. Volumetric breast density maps were computed from the mammograms, which provide the dense tissue thickness at each location. These were used to compute absolute and percentage glandular tissue volume. We modeled the masking risk for each pixel location using the absolute and percentage dense tissue thickness and we investigated the effect of taking the cancer location probability distribution (CLPD) into account. For each method, we selected cases with the highest masking measure (by thresholding) and computed the fraction of ICs as a function of the fraction of controls selected. The latter can be interpreted as the negative supplemental screening rate (NSSR). Between the models, when incorporating CLPD, no significant differences were found. In general, the methods performed better when CLPD was included. At higher NSSRs some of the investigated masking measures had a significantly higher performance than volumetric breast density. These measures may therefore serve as an alternative to identify women with a high risk for a masked cancer.

  15. Screening mammography. A risk versus risk decision

    SciTech Connect

    Ritenour, E.R.; Hendee, W.R.

    1989-01-01

    The potential risk of a radiologic procedure often is compared with the potential benefit of the procedure. While risk vs. benefit analysis has been useful as a step toward increased communication and understanding among radiologists, referring physicians, and the general public, it has the disadvantage that risk and benefit are fundamentally different quantities. Hence, their juxtaposition for purposes of comparison presents contextual difficulties. In this article, the concept is presented of comparing the risk of doing a procedure with the risk of choosing not to do the procedure. An example of risk vs. risk analysis of screening mammography for women over the age of 50 is given, with the conclusion that the risk of having yearly mammograms is less than 1/10 the risk of early death caused by failure to diagnose breast cancer by x-ray mammography. This approach to risk analysis would yield interesting data for examinations that are part of more complicated diagnostic pathways.19 references.

  16. Design and conduct of a low-cost mammography screening project: experience of the American Cancer Society, Texas Division.

    PubMed

    Vogel, V G; Peters, G N; Evans, W P

    1992-01-01

    To improve compliance with recommendations for screening mammography, the American Cancer Society (ACS) Texas Division designed and conducted a media-promoted screening project in 1987. The project was planned during a 2-year period by a task force made up of physicians and lay members of ACS division committees. Radiology centers desiring to participate in the project were asked to submit information about the number of patients they could screen and their equipment, along with physics data, to a review committee. Of 306 facilities that responded, 266 (87%) passed the initial review. Thirteen facilities (4%) submitted images from two examinations using a dedicated mammography phantom, and 27 sites (9%) entered the project by agreeing to adhere to the project standards and guidelines without undergoing formal review. All facilities agreed to provide mammograms for $50 to women scheduling appointments during a 2-week media campaign in February 1987. The project generated 64,459 mammographic screening examinations. Our experience indicates that a media campaign can encourage women to have screening mammograms and that screening facilities will agree to screen a large number of women at reduced cost. This strategy, if widely applied, can improve compliance with mammographic screening recommendations and reduce breast cancer mortality.

  17. Abnormal ionization in sonoluminescence

    NASA Astrophysics Data System (ADS)

    Zhang, Wen-Juan; An, Yu

    2015-04-01

    Sonoluminescence is a complex phenomenon, the mechanism of which remains unclear. The present study reveals that an abnormal ionization process is likely to be present in the sonoluminescing bubble. To fit the experimental data of previous studies, we assume that the ionization energies of the molecules and atoms in the bubble decrease as the gas density increases and that the decrease of the ionization energy reaches about 60%-70% as the bubble flashes, which is difficult to explain by using previous models. Project supported by the Research Fund for the Doctoral Program of Higher Education of China (Grant No. 20120002110031) and the National Natural Science Foundation of China (Grant No. 11334005).

  18. Advantages of the Quadruple Screen over noninvasive prenatal testing.

    PubMed

    Keller, Nathan A; Rijshinghani, Asha

    2016-03-01

    Noninvasive prenatal testing (NIPT) is becoming increasingly popular with some offering it as a primary screen option in all patients in place of serum screening. Serum screening offers insight into placental function, which NIPT does not. Abnormal levels of analytes in the serum screen have been associated with pregnancy complications. PMID:27014443

  19. Abnormal hematological indices in cirrhosis

    PubMed Central

    Qamar, Amir A; Grace, Norman D

    2009-01-01

    Abnormalities in hematological indices are frequently encountered in cirrhosis. Multiple causes contribute to the occurrence of hematological abnormalities. Recent studies suggest that the presence of hematological cytopenias is associated with a poor prognosis in cirrhosis. The present article reviews the pathogenesis, incidence, prevalence, clinical significance and treatment of abnormal hematological indices in cirrhosis. PMID:19543577

  20. Spirometric abnormalities among welders

    SciTech Connect

    Rastogi, S.K.; Gupta, B.N.; Husain, T.; Mathur, N.; Srivastava, S. )

    1991-10-01

    A group of manual welders age group 13-60 years having a mean exposure period of 12.4 {plus minus} 1.12 years were subjected to spirometry to evaluate the prevalence of spirometric abnormalities. The welders showed a significantly higher prevalence of respiratory impairment than that observed among the unexposed controls as a result of exposure to welding gases which comprised fine particles of lead, zinc, chromium, and manganese. This occurred despite the lower concentration of the pollutants at the work place. In the expose group, the smoking welders showed a prevalence of respiratory impairment significantly higher than that observed in the nonsmoking welders. The results of the pulmonary function tests showed a predominantly restrictive type of pulmonary impairment followed by a mixed ventilatory defect among the welders. The effect of age on pulmonary impairment was not discernible. Welders exposed for over 10 years showed a prevalence of respiratory abnormalities significantly higher than those exposed for less than 10 years. Smoking also had a contributory role.

  1. Markov random field-based clustering applied to the segmentation of masses in digital mammograms.

    PubMed

    Suliga, M; Deklerck, R; Nyssen, E

    2008-09-01

    In this paper we propose a new pixel clustering model applied to the analysis of digital mammograms. The clustering represents here the first step in a more general method and aims at the creation of a concise data-set (clusters) for automatic detection and classification of masses, which are typically among the first symptoms analysed in early diagnosis of breast cancer. For the purpose of this work, a set of mammographic images has been employed, that are 12-bit gray level digital scans and as such, are inherently inhomogeneous and affected by the noise resulting from the film scanning. The image pixels are described only by their intensity (gray level), therefore, the available information is limited to one dimension. We propose a Markov random field (MRF)-based technique that is suitable for performing clustering in an environment which is described by poor or limited data. The proposed method is a statistical classification model, that labels the image pixels based on the description of their statistical and contextual information. Apart from evaluating the pixel statistics, that originate from the definition of the K-means clustering scheme, the model expands the analysis by the description of the spatial dependence between pixels and their labels (context), hence leading to the reduction of the inhomogeneity of the output. Moreover, we define a probabilistic description of the model, that is characterised by a remarkable simplicity, such that its realisation can be easily and efficiently implemented in any high- or low-level programming language, thus allowing it to be run on virtually any kind of platform. Finally, we evaluate the algorithm against the classical K-means clustering routine. We point out similarities between the two methods and, moreover, show the advantages and superiority of the MRF scheme.

  2. Potential improvement of computerized mass detection on mammograms using a bilateral pairing technique

    NASA Astrophysics Data System (ADS)

    Paquerault, S.; Petrick, N.; Sahiner, B.; Myers, K. J.; Chan, H.-P.

    2006-03-01

    We are developing a bilateral pairing technique to help reduce false-positives identified by a single-view computer-aided detection (CAD) system for breast masses. In this study, we compare the performance of the proposed bilateral CAD to a single-view CAD. A database of 172 right/left breast pairs containing 205 biopsy-proven masses was used. Single-view CAD was run on each image using a lax selection threshold so that 5 objects per image were retained. The automated bilateral pairing algorithm identified all objects in a left breast mammogram "matching" a CAD detected object in the corresponding right breast image and visa-versa. Bilateral pairing was based on geometrical correspondence between objects with a matching score derived from a paired right/left object feature set and a linear discriminant analysis classifier. Leave-one out resampling was used to train/test the technique. We compared the FROC performances of the single-view CAD, the proposed bilateral technique and a modified CAD using manual pairing of bilateral structures. At a per-lesion detection sensitivity of 0.7, there were 3.8 FPs/image for the original CAD, 3.3 for the proposed technique, and 2.2 for the modified CAD using manual matching, a 12.6% and 42.1% reduction, respectively. At an FP rate of 1.0 per image, the sensitivities for the original CAD, the proposed technique and the modified CAD using manual matching were 0.47, 0.51 and 0.60, respectively. Preliminary results show that CAD with bilateral pairing did not achieve a significant FP-reduction.

  3. Inter- and intra-observer variations in the delineation of lesions in mammograms

    NASA Astrophysics Data System (ADS)

    Buelow, Thomas; Heese, Harald S.; Grewer, Ruediger; Kutra, Dominik; Wiemker, Rafael

    2015-03-01

    Many clinical and research tasks require the delineation of lesions in radiological images. There is a variety of methods available for deriving such delineations, ranging from free hand manual contouring and manual positioning of lowparameter graphical objects, to (semi-)automatic computerized segmentation methods. In this paper we investigate the impact of the chosen segmentation method on the inter-observer variability of the resulting contour. Three different methods are compared in this paper, namely (1) manual positioning of an ellipse, (2) an automatic segmentation method, coined live-segmentation, which depends on the current mouse pointer position as input information and is updated in real-time as the user hovers with the mouse over the image and (3) free form segmentation which is realized by allowing the user to pull the result of method (2) to image positions that the contour is required to pass. Each of the three methods was used by three experienced radiologists to delineate a set of 215 round breast lesion images in digital mammograms. Agreement between contours was assessed by computing the Dice coefficient. The median Dice coefficient for the ellipses placed by different readers was 0.85. The intra-reader Dice coefficient comparing ellipses and livesegmentations was 0.84, thus showing that the live-segmentation results agree with ellipse segmentations to the same extent as readers agree on the ellipse placement. Inter-observer agreement when using the live-segmentation was higher than for the ellipses (median Dice = 0.91 vs. 0.85) showing that the live-segmentation is a more reproducible alternative to the ellipse placement.

  4. Knowledge-based computer-aided detection of masses on digitized mammograms: a preliminary assessment.

    PubMed

    Chang, Y H; Hardesty, L A; Hakim, C M; Chang, T S; Zheng, B; Good, W F; Gur, D

    2001-04-01

    The purpose of this work was to develop and evaluate a computer-aided detection (CAD) scheme for the improvement of mass identification on digitized mammograms using a knowledge-based approach. Three hundred pathologically verified masses and 300 negative, but suspicious, regions, as initially identified by a rule-based CAD scheme, were randomly selected from a large clinical database for development purposes. In addition, 500 different positive and 500 negative regions were used to test the scheme. This suspicious region pruning scheme includes a learning process to establish a knowledge base that is then used to determine whether a previously identified suspicious region is likely to depict a true mass. This is accomplished by quantitatively characterizing the set of known masses, measuring "similarity" between a suspicious region and a "known" mass, then deriving a composite "likelihood" measure based on all "known" masses to determine the state of the suspicious region. To assess the performance of this method, receiver-operating characteristic (ROC) analyses were employed. Using a leave-one-out validation method with the development set of 600 regions, the knowledge-based CAD scheme achieved an area under the ROC curve of 0.83. Fifty-one percent of the previously identified false-positive regions were eliminated, while maintaining 90% sensitivity. During testing of the 1,000 independent regions, an area under the ROC curve as high as 0.80 was achieved. Knowledge-based approaches can yield a significant reduction in false-positive detections while maintaining reasonable sensitivity. This approach has the potential of improving the performance of other rule-based CAD schemes.

  5. Association Between Individual and Geographic Factors and Nonadherence to Mammography Screening Guidelines

    PubMed Central

    McDonald, Kaila; Sherman, Recinda; Kinney, Anita Y; Stroup, Antoinette M

    2014-01-01

    Abstract Background: This study investigates factors that are associated with nonadherence to mammography screening guidelines in Utah, a state where mammography screening rates have remained consistently lower than national averages. Methods: We examined data on reported mammography use among women aged 40–74 years from the 2008 and 2010 Utah Behavioral Risk Factor Surveillance System (n=5,197, weighted n=417,064). Logistic regression models were used to estimate the effects of individual-level and geographic (travel time to nearest mammography facility, geographic accessibility, and rural/urban residence) factors on the odds of a woman not reporting receiving a mammogram in the last 2 years. Results: In 2008 and 2010, a disproportionate number of women aged 40–49 (43.1%, 95% confidence interval [CI] 39.9%–46.3%) reported not receiving a mammogram within the last 2 years compared to women 50–74 (26.8%, 95% CI 24.9%–28.7%). None of the geographic factors were significant predictors of screening adherence. Based on covariate adjusted models, statistically significant (p<0.05) factors associated with increased odds of not receiving mammogram within the last 2 years included not having a regular physician, no health insurance, being aged 40–49, income less than $25,000, and the presence of three or more children in the home. Conclusion: Mammography screening efforts in Utah should focus on improving access to insurance or a regular source of health care. Future research should also consider how best to address extreme time demands and competing priorities that present potential barriers for women with large families, resulting in lower screening levels among these women. PMID:24865409

  6. Breast Cancer Screening Practices Among First-Generation Immigrant Muslim Women

    PubMed Central

    Menon, Usha; Ferrans, Carol Estwing; Szalacha, Laura

    2014-01-01

    Abstract Background: The purpose of this study was to identify beliefs about breast cancer, screening practices, and factors associated with mammography use among first-generation immigrant Muslim women in Chicago, IL. Methods: A convenience sample of 207 first-generation immigrant Muslim women (Middle Eastern 51%; South Asian 49%) completed a culturally adapted questionnaire developed from established instruments. The questionnaire was administered in Urdu, Hindi, Arabic, or English, based on participant preference. Internal-consistency reliability was demonstrated for all scales (alpha coefficients ranged from 0.64 to 0.91). Associations between enabling, predisposing, and need variables and the primary outcome of mammography use were explored by fitting logistic regression models. Results: Although 70% of the women reported having had a mammogram at least once, only 52% had had one within the past 2 years. Four factors were significant predictors of ever having had a mammogram: years in the United States, self-efficacy, perceived importance of mammography, and intent to be screened. Five factors were significant predictors of adherence (having had a mammogram in the past 2 years): years in the United States, having a primary care provider, perceived importance of mammography, barriers, and intent to be screened. Conclusions: This article sheds light on current screening practices and identifies theory-based constructs that facilitate and hinder Muslim women's participation in mammography screening. Our findings provide insights for reaching out particularly to new immigrants, developing patient education programs grounded in culturally appropriate approaches to address perceived barriers and building women's self-efficacy, as well as systems-level considerations for ensuring access to primary care providers. PMID:24865517

  7. Predictors of Self-reported Adherence to Mammography Screening Guidelines in West Virginia Women Visiting a Stationary Facility

    PubMed Central

    Vyas, Ami; Madhavan, Suresh; Kelly, Kimberly; Metzger, Aaron; Schreiman, Judith; Remick, Scott

    2016-01-01

    The objectives of this study are to describe the characteristics of women age 40 years and above who utilize a stationary mammography facility and to determine the predictors of self-reported adherence to mammography screening guidelines. Data were analyzed using the expanded version of Andersen Behavioral Model of Healthcare Utilization. Of the 1,104 women included in the analysis, 1,019 women (92.3%) reported having had a mammogram in the past two years. In logistic regression after adjusting for all the variables, older age, having health insurance, not having delayed medical care due to transportation problem, being adherent to clinical breast exam (CBE), Pap test and other routine screenings and having positive views about mammography screening significantly predicted adherence to mammography screening. Adherence to mammography screening was very high in this sample, and enabling and need-related factors and positive views about mammography screening predicted adherence to mammography screening guidelines. PMID:24902464

  8. Characterization of corresponding microcalcification clusters on temporal pairs of mammograms for interval change analysis: comparison of classifiers

    NASA Astrophysics Data System (ADS)

    Hadjiiski, Lubomir; Drouillard, Douglas; Chan, Heang-Ping; Sahiner, Berkman; Helvie, Mark A.; Roubidoux, Marilyn; Zhou, Chuan

    2006-03-01

    We are developing an automated system for analysis of microcalcification clusters on serial mammograms. Our automated system consists of two stages: (1) automatic registration of corresponding clusters on temporal pairs of mammograms producing true (TP-TP) and false (TP-FP) pairs; and (2) characterization of temporal pairs of clusters as malignant and benign using a temporal classifier. In this study, we focussed on the design of the temporal classifier. Morphological and texture (RLS and GLDS) features are automatically extracted from the detected current and prior cluster locations. Additionally, difference morphological and RLS features are obtained. The automatically detected cluster locations on the temporal pairs may deviate from the optimal locations as selected by expert radiologists. This will introduce "noise" to the extracted features and make the classification task more difficult. Linear discriminant analysis (LDA) and support vector machine (SVM) classifiers were trained to classify the true and false pairs. Leaveone-case-out resampling method was used for feature selection and classifier design. In this study, 175 serial mammogram pairs containing biopsy-proven microcalcification clusters were used. At the first stage of the system, 85% (149/175) of the TP-TP pairs were identified with 15 false matches within the 164 image pairs that had computerdetected clusters on the priors. At the second stage, an average of 7 features were selected (4 difference morphological, 1 difference RLS and 2 current GLDS). The LDA and SVM temporal classifiers achieved test A z of 0.83 and 0.82, respectively, for the classification of the 164 cluster temporal pairs as malignant or benign. In comparison, an MQSA radiologist achieved an A z of 0.72. Both the LDA and SVM classifiers were able to classify the automatically detected temporal pairs of microcalcification clusters with accuracy comparable to that of an experienced radiologist.

  9. Area and Volumetric Density Estimation in Processed Full-Field Digital Mammograms for Risk Assessment of Breast Cancer

    PubMed Central

    Cheddad, Abbas; Czene, Kamila; Eriksson, Mikael; Li, Jingmei; Easton, Douglas; Hall, Per; Humphreys, Keith

    2014-01-01

    Introduction Mammographic density, the white radiolucent part of a mammogram, is a marker of breast cancer risk and mammographic sensitivity. There are several means of measuring mammographic density, among which are area-based and volumetric-based approaches. Current volumetric methods use only unprocessed, raw mammograms, which is a problematic restriction since such raw mammograms are normally not stored. We describe fully automated methods for measuring both area and volumetric mammographic density from processed images. Methods The data set used in this study comprises raw and processed images of the same view from 1462 women. We developed two algorithms for processed images, an automated area-based approach (CASAM-Area) and a volumetric-based approach (CASAM-Vol). The latter method was based on training a random forest prediction model with image statistical features as predictors, against a volumetric measure, Volpara, for corresponding raw images. We contrast the three methods, CASAM-Area, CASAM-Vol and Volpara directly and in terms of association with breast cancer risk and a known genetic variant for mammographic density and breast cancer, rs10995190 in the gene ZNF365. Associations with breast cancer risk were evaluated using images from 47 breast cancer cases and 1011 control subjects. The genetic association analysis was based on 1011 control subjects. Results All three measures of mammographic density were associated with breast cancer risk and rs10995190 (p<0.025 for breast cancer risk and p<1×10−6 for rs10995190). After adjusting for one of the measures there remained little or no evidence of residual association with the remaining density measures (p>0.10 for risk, p>0.03 for rs10995190). Conclusions Our results show that it is possible to obtain reliable automated measures of volumetric and area mammographic density from processed digital images. Area and volumetric measures of density on processed digital images performed similar in terms of

  10. Microcalcification detection in full-field digital mammograms with PFCM clustering and weighted SVM-based method

    NASA Astrophysics Data System (ADS)

    Liu, Xiaoming; Mei, Ming; Liu, Jun; Hu, Wei

    2015-12-01

    Clustered microcalcifications (MCs) in mammograms are an important early sign of breast cancer in women. Their accurate detection is important in computer-aided detection (CADe). In this paper, we integrated the possibilistic fuzzy c-means (PFCM) clustering algorithm and weighted support vector machine (WSVM) for the detection of MC clusters in full-field digital mammograms (FFDM). For each image, suspicious MC regions are extracted with region growing and active contour segmentation. Then geometry and texture features are extracted for each suspicious MC, a mutual information-based supervised criterion is used to select important features, and PFCM is applied to cluster the samples into two clusters. Weights of the samples are calculated based on possibilities and typicality values from the PFCM, and the ground truth labels. A weighted nonlinear SVM is trained. During the test process, when an unknown image is presented, suspicious regions are located with the segmentation step, selected features are extracted, and the suspicious MC regions are classified as containing MC or not by the trained weighted nonlinear SVM. Finally, the MC regions are analyzed with spatial information to locate MC clusters. The proposed method is evaluated using a database of 410 clinical mammograms and compared with a standard unweighted support vector machine (SVM) classifier. The detection performance is evaluated using response receiver operating (ROC) curves and free-response receiver operating characteristic (FROC) curves. The proposed method obtained an area under the ROC curve of 0.8676, while the standard SVM obtained an area of 0.8268 for MC detection. For MC cluster detection, the proposed method obtained a high sensitivity of 92 % with a false-positive rate of 2.3 clusters/image, and it is also better than standard SVM with 4.7 false-positive clusters/image at the same sensitivity.

  11. Breast cancer screening. First Nations communities in New Brunswick.

    PubMed Central

    Tatemichi, Sue; Miedema, Baukje; Leighton, Shelley

    2002-01-01

    OBJECTIVE: To determine use of breast cancer screening and barriers to screening among women in First Nations communities (FNCs). DESIGN: Structured, administered survey. SETTING: Five FNCs in New Brunswick. PARTICIPANTS: One hundred thirty-three (96%) of 138 eligible women between the ages of 50 and 69 years. INTERVENTIONS: After project objectives, methods, and expected outcomes were discussed with community health representatives, we administered a 32-item questionnaire on many aspects of breast cancer screening. MAIN OUTCOME MEASURES: Rate of use of mammography and other breast cancer screening methods, and barriers to screening. RESULTS: Some 65% of participants had had mammography screening within the previous 2 years. Having mammography at recommended intervals and clinical breast examinations (CBEs) yearly were significantly associated with having had a physician recommend the procedures (P < .001). A family history of breast cancer increased the odds of having a mammogram 2.6-fold (P < .05, 95% confidence interval [CI] 1.03 to 6.54). Rates of screening differed sharply by whether a family physician was physically practising in the community or not (P < .05, odds ratio 2.68, 95% CI 1.14 to 6.29). CONCLUSION: Women in FNCs in one health region in New Brunswick have mammography with the same frequency as off-reserve women. A family physician practising part time in the FNCs was instrumental in encouraging women to participate in breast cancer screening. PMID:12113195

  12. A Rare Stapes Abnormality

    PubMed Central

    Kanona, Hala; Virk, Jagdeep Singh; Kumar, Gaurav; Chawda, Sanjiv; Khalil, Sherif

    2015-01-01

    The aim of this study is to increase awareness of rare presentations, diagnostic difficulties alongside management of conductive hearing loss and ossicular abnormalities. We report the case of a 13-year-old female reporting progressive left-sided hearing loss and high resolution computed tomography was initially reported as normal. Exploratory tympanotomy revealed an absent stapedius tendon and lack of connection between the stapes superstructure and footplate. The footplate was fixed. Stapedotomy and stapes prosthesis insertion resulted in closure of the air-bone gap by 50 dB. A review of world literature was performed using MedLine. Middle ear ossicular discontinuity can result in significant conductive hearing loss. This can be managed effectively with surgery to help restore hearing. However, some patients may not be suitable or decline surgical intervention and can be managed safely conservatively. PMID:25628909

  13. Interval breast cancers in screening: the effect of mammography review method on classification.

    PubMed

    Ciatto, Stefano; Catarzi, Sandra; Lamberini, Maria Perla; Risso, Gabriella; Saguatti, Gianni; Abbattista, Teresa; Martinelli, Francesca; Houssami, Nehmat

    2007-12-01

    Surveillance of interval cancers (IC) lacks standardisation of review methodologies. We investigated the extent to which 'informed' or 'blinded' review may affect IC classification. This is a retrospective study of 100 validated screening mammograms (20 IC, 80 negative screens) independently reviewed by six radiologists. Three sequenced review methods with increasing information were used: (1) blinded (no IC information, case mix), (2) partially informed, and (3) fully informed. IC 'screening error' (SE) reports averaged 24% (10-40), 33% (20-55), and 42% (35-50) for phases 1, 2, and 3, while 'minimal signs' (MS) reports averaged 6% (5-15), 10% (10-20), and 20% (15-30), respectively. Negative mammograms classification was MS in 18% (7-39) or SE in 19% (11-29), respectively. MS or SE classification was more likely for method 2 (OR=1.78, p=0.033) and method 3 (OR=3.91, p=0.000) relative to method 1, but no reader effect was evident. Inter-observer agreement in classifying at method 1 was slight (k 0.20), lowest (k 0.06) for MS, and fair (k 0.25) for negative and SE categories. More 'informed' review is more likely to yield an IC classification as MS or SE. Due to expected variability, review methods need standardisation to improve screening quality. Our data support blinded review of IC in mammography screening.

  14. Residual risk for cytogenetic abnormalities after prenatal diagnosis by interphase fluorescence in situ hybridization (FISH).

    PubMed

    Homer, Jeanne; Bhatt, Sucheta; Huang, Bing; Thangavelu, Maya

    2003-07-01

    Results from conventional cytogenetic studies on 21 609 amniotic fluid specimens were analyzed retrospectively to determine the residual risk for a cytogenetic abnormality if interphase FISH, capable of only detecting aneuploidy for chromosomes 13, 18, 21, X and Y, was performed and did not reveal an abnormality. Detection rates (the probability of detecting a cytogenetic abnormality when an abnormality is present) and residual risks (the likelihood of a cytogenetic abnormality, in view of normal interphase FISH results) were calculated for the four major clinical indications for prenatal diagnosis (advanced maternal age, abnormal maternal serum screen indicating increased risk for trisomy 18 or trisomy 21, abnormal maternal serum screen indicating increased risk for neural tube defects and ultrasound abnormality). Differences in detection rates were observed to depend on clinical indication and presence or absence of ultrasound abnormalities. The detection rate ranged from 18.2 to 82.6% depending on the clinical indication. The detection rates of abnormalities significant to the pregnancy being evaluated (i.e. abnormalities excluding familial balanced rearrangements and familial markers) were between 28.6 and 86.4%. The presence of ultrasound abnormalities increased the detection rate from 72.2 to 92.5% for advanced maternal age and from 78.6 to 91.3% for abnormal maternal serum screen, indicating increased risk for trisomy 18 or trisomy 21. With regard to residual risk, the risk for a clinically significant abnormality decreased from 0.9-10.1%, prior to the interphase FISH assay, to a residual risk of 0.6-1.5% following a normal interphase FISH result in the 4 groups studied. Providing patients with detection rates and residual risks, most relevant to their situation (clinical indication and presence or absence of ultrasound abnormality) during counseling, could help them better understand the advantages and limitations of interphase FISH in their prenatal

  15. Changes in the use of screening mammography: evidence from the 1987 and 1990 National Health Interview Surveys.

    PubMed Central

    Breen, N; Kessler, L

    1994-01-01

    OBJECTIVES: Mammography rates reported by women in the National Health Interview Surveys of 1990 and 1987 are examined. Why this screening modality is not more frequently used is explored. METHODS. Data from the 1987 and 1990 National Health Interview Surveys, conducted by the National Center for Health Statistics, are cross-tabulated and compared. RESULTS. In 1987, approximately 17% of women over 40 years of age reported having had a screening mammogram in the previous year. In 1990, the rate doubled. Race declined in importance; income and education remained strong, positive predictors of screening. CONCLUSIONS. Despite this dramatic increase, two thirds of women are not having screening mammograms. Use was not higher primarily because women did not realize that screening mammography tests for breast cancer in asymptomatic women. Primary care physicians are the main source of health education for screening mammography. The data suggest that public health programs to promote screening mammography should especially target primary care physicians and women with low incomes and education. Likewise, health care providers should ensure that their patients are referred to facilities that deliver high-quality mammography at low cost to make the procedure more accessible. PMID:8279613

  16. Chemical induction of sperm abnormalities in mice.

    PubMed Central

    Wyrobek, A J; Bruce, W R

    1975-01-01

    The sperm of (C57BL X C3H)F1 mice were examined 1, 4, and 10 weeks after a subacute treatment with one of 25 chemicals at two or more dose levels. The fraction of sperm that were abnormal in shape was elevated above control values of 1.2-3.4% for methyl methanesulfonate, ethyl methanesulfonate, griseofulvin, benzo[a]pyrene, METEPA [tris(2-methyl-l-aziridinyl)phosphine oxide], THIO-TEPA [tris(l-aziridinyl)phosphine sulfide], mitomycin C, myleran, vinblastine sulphate, hydroxyurea, 3-methylcholanthrene, colchicine, actinomycin D, imuran, cyclophosphamide, 5-iododeoxyuridine, dichlorvos, aminopterin, and trimethylphosphate. Dimethylnitrosamine, urethane, DDT [1,1,1-trichloro-2,2-bis(p-chlorophenyl)ethane], 1,1-dimethylhydrazine, caffeine, and calcium cyclamate did not induce elevated levels of sperm abnormalities. The results suggest that sperm abnormalities might provide a rapid inexpensive mammalian screen for agents that lead to errors in the differentiation of spermatogenic stem cells in vivo and thus indicate agents which might prove to be mutagenic, teratogenic, or carcinogenic. Images PMID:1060122

  17. iPixel: a visual content-based and semantic search engine for retrieving digitized mammograms by using collective intelligence.

    PubMed

    Alor-Hernández, Giner; Pérez-Gallardo, Yuliana; Posada-Gómez, Rubén; Cortes-Robles, Guillermo; Rodríguez-González, Alejandro; Aguilar-Laserre, Alberto A

    2012-09-01

    Nowadays, traditional search engines such as Google, Yahoo and Bing facilitate the retrieval of information in the format of images, but the results are not always useful for the users. This is mainly due to two problems: (1) the semantic keywords are not taken into consideration and (2) it is not always possible to establish a query using the image features. This issue has been covered in different domains in order to develop content-based image retrieval (CBIR) systems. The expert community has focussed their attention on the healthcare domain, where a lot of visual information for medical analysis is available. This paper provides a solution called iPixel Visual Search Engine, which involves semantics and content issues in order to search for digitized mammograms. iPixel offers the possibility of retrieving mammogram features using collective intelligence and implementing a CBIR algorithm. Our proposal compares not only features with similar semantic meaning, but also visual features. In this sense, the comparisons are made in different ways: by the number of regions per image, by maximum and minimum size of regions per image and by average intensity level of each region. iPixel Visual Search Engine supports the medical community in differential diagnoses related to the diseases of the breast. The iPixel Visual Search Engine has been validated by experts in the healthcare domain, such as radiologists, in addition to experts in digital image analysis.

  18. Detection of microcalcification clusters using Hessian matrix and foveal segmentation method on multiscale analysis in digital mammograms.

    PubMed

    Thangaraju, Balakumaran; Vennila, Ila; Chinnasamy, Gowrishankar

    2012-10-01

    Mammography is the most efficient technique for detecting and diagnosing breast cancer. Clusters of microcalcifications have been mainly targeted as a reliable early sign of breast cancer and their earliest detection is essential to reduce the probability of mortality rate. Since the size of microcalcifications is very tiny and may be overlooked by the observing radiologist, we have developed a Computer Aided Diagnosis system for automatic and accurate cluster detection. A three-phased novel approach is presented in this paper. Firstly, regions of interest that corresponds to microcalcifications are identified. This can be achieved by analyzing the bandpass coefficients of the mammogram image. The suspicious regions are passed to the second phase, in which the nodular structured microcalcifications are detected based on eigenvalues of second order partial derivatives of the image and microcalcification pixels are segmented out by exploiting the foveal segmentation in multiscale analysis. Finally, by combining the responses coming out from the second order partial derivatives and the foveal method, potential microcalcifications are detected. The detection performance of the proposed method has been evaluated by using 370 mammograms. The detection method has a TP ratio of 97.76 % with 0.68 false positives per image. We have examined the performance of our computerized scheme using free-response operating characteristics curve.

  19. Tailored Interventions to Promote Mammography Screening: A Meta-Analytic Review

    PubMed Central

    Sohl, Stephanie J.; Moyer, Anne

    2007-01-01

    Objective To evaluate the effectiveness of tailored interventions, designed to reach one specific person based on her unique characteristics, for promoting mammography use. Method This systematic review used meta-analytic techniques to aggregate the effect size of 28 studies published from 1997 through 2005. Potential study-level moderators of outcomes (sample, intervention, and methodological characteristics) were also examined. Results A small but significant aggregate odds ratio effect size of 1.42 indicated that women exposed to tailored interventions were significantly more likely to get a mammogram (p < 0.001). The type of population recruited and participants’ pre-intervention level of mammography adherence did not significantly influence this effect. Tailored interventions that used the Health Belief Model and included a physician recommendation produced the strongest effects. Interventions delivered in person, by telephone, or in print were similarly effective. Finally, defining adherence as a single recent mammogram as opposed to regular or repeated mammograms yielded higher effect sizes. Conclusion Tailored interventions, particularly those that employ the Health Belief Model and use a physician recommendation, are effective in promoting mammography screening. Future investigations should strive to use more standardized definitions of tailoring and assessments of mammography outcomes. PMID:17643481

  20. Associations Between Religion-Related Factors and Breast Cancer Screening Among American Muslims

    PubMed Central

    Padela, Aasim I.; Murrar, Sohad; Adviento, Brigid; Liao, Chuanhong; Hosseinian, Zahra; Peek, Monica; Curlin, Farr

    2015-01-01

    American Muslims have low rates of mammography utilization, and research suggests that religious values influence their health-seeking behaviors. We assessed associations between religion-related factors and breast cancer screening in this population. A diverse group of Muslim women were recruited from mosques and Muslim organization sites in Greater Chicago to self-administer a survey incorporating measures of fatalism, religiosity, discrimination, and Islamic modesty. 254 surveys were collected of which 240 met age inclusion criteria (40 years of age or older). Of the 240, 72 respondents were Arab, 71 South Asian, 59 African American, and 38 identified with another ethnicity. 77 % of respondents had at least one mammogram in their lifetime, yet 37 % had not obtained mammography within the past 2 years. In multivariate models, positive religious coping, and perceived religious discrimination in healthcare were negatively associated with having a mammogram in the past 2 years, while having a PCP was positively associated. Ever having a mammogram was positively associated with increasing age and years of US residency, and knowing someone with breast cancer. Promoting biennial mammography among American Muslims may require addressing ideas about religious coping and combating perceived religious discrimination through tailored interventions. PMID:24700026

  1. Ictal Cardiac Ryhthym Abnormalities

    PubMed Central

    Ali, Rushna

    2016-01-01

    Cardiac rhythm abnormalities in the context of epilepsy are a well-known phenomenon. However, they are under-recognized and often missed. The pathophysiology of these events is unclear. Bradycardia and asystole are preceded by seizure onset suggesting ictal propagation into the cortex impacting cardiac autonomic function, and the insula and amygdala being possible culprits. Sudden unexpected death in epilepsy (SUDEP) refers to the unanticipated death of a patient with epilepsy not related to status epilepticus, trauma, drowning, or suicide. Frequent refractory generalized tonic-clonic seizures, anti-epileptic polytherapy, and prolonged duration of epilepsy are some of the commonly identified risk factors for SUDEP. However, the most consistent risk factor out of these is an increased frequency of generalized tonic–clonic seizures (GTC). Prevention of SUDEP is extremely important in patients with chronic, generalized epilepsy. Since increased frequency of GTCS is the most consistently reported risk factor for SUDEP, effective seizure control is the most important preventive strategy. PMID:27347227

  2. Ictal Cardiac Ryhthym Abnormalities.

    PubMed

    Ali, Rushna

    2016-01-01

    Cardiac rhythm abnormalities in the context of epilepsy are a well-known phenomenon. However, they are under-recognized and often missed. The pathophysiology of these events is unclear. Bradycardia and asystole are preceded by seizure onset suggesting ictal propagation into the cortex impacting cardiac autonomic function, and the insula and amygdala being possible culprits. Sudden unexpected death in epilepsy (SUDEP) refers to the unanticipated death of a patient with epilepsy not related to status epilepticus, trauma, drowning, or suicide. Frequent refractory generalized tonic-clonic seizures, anti-epileptic polytherapy, and prolonged duration of epilepsy are some of the commonly identified risk factors for SUDEP. However, the most consistent risk factor out of these is an increased frequency of generalized tonic-clonic seizures (GTC). Prevention of SUDEP is extremely important in patients with chronic, generalized epilepsy. Since increased frequency of GTCS is the most consistently reported risk factor for SUDEP, effective seizure control is the most important preventive strategy. PMID:27347227

  3. Communication and abnormal behaviour.

    PubMed

    Crown, S

    1979-01-01

    In this paper the similarities between normal and abnormal behaviour are emphasized and selected aspects of communication, normal and aberrant, between persons are explored. Communication in a social system may be verbal or non-verbal: one person's actions cause a response in another person. This response may be cognitive, behavioural or physiological. Communication may be approached through the individual, the social situation or social interaction. Psychoanalysis approaches the individual in terms of the coded communications of psychoneurotic symptoms or psychotic behaviour; the humanist-existential approach is concerned more with emotional expression. Both approaches emphasize the development of individual identity. The interaction between persons and their social background is stressed. Relevant are sociological concepts such as illness behaviour, stigma, labelling, institutionalization and compliance. Two approaches to social interactions are considered: the gamesplaying metaphor, e.g. back pain as a psychosocial manipulation--the 'pain game'; and the 'spiral of reciprocal perspectives' which emphasizes the interactional complexities of social perceptions. Communicatory aspects of psychological treatments are noted: learning a particular metaphor such as 'resolution' of the problem (psychotherapy), learning more 'rewarding' behaviour (learning theory) or learning authenticity or self-actualization (humanist-existential).

  4. Communication and abnormal behaviour.

    PubMed

    Crown, S

    1979-01-01

    In this paper the similarities between normal and abnormal behaviour are emphasized and selected aspects of communication, normal and aberrant, between persons are explored. Communication in a social system may be verbal or non-verbal: one person's actions cause a response in another person. This response may be cognitive, behavioural or physiological. Communication may be approached through the individual, the social situation or social interaction. Psychoanalysis approaches the individual in terms of the coded communications of psychoneurotic symptoms or psychotic behaviour; the humanist-existential approach is concerned more with emotional expression. Both approaches emphasize the development of individual identity. The interaction between persons and their social background is stressed. Relevant are sociological concepts such as illness behaviour, stigma, labelling, institutionalization and compliance. Two approaches to social interactions are considered: the gamesplaying metaphor, e.g. back pain as a psychosocial manipulation--the 'pain game'; and the 'spiral of reciprocal perspectives' which emphasizes the interactional complexities of social perceptions. Communicatory aspects of psychological treatments are noted: learning a particular metaphor such as 'resolution' of the problem (psychotherapy), learning more 'rewarding' behaviour (learning theory) or learning authenticity or self-actualization (humanist-existential). PMID:261653

  5. Abnormal uterine bleeding.

    PubMed

    Whitaker, Lucy; Critchley, Hilary O D

    2016-07-01

    Abnormal uterine bleeding (AUB) is a common and debilitating condition with high direct and indirect costs. AUB frequently co-exists with fibroids, but the relationship between the two remains incompletely understood and in many women the identification of fibroids may be incidental to a menstrual bleeding complaint. A structured approach for establishing the cause using the Fédération International de Gynécologie et d'Obstétrique (FIGO) PALM-COEIN (Polyp, Adenomyosis, Leiomyoma, Malignancy (and hyperplasia), Coagulopathy, Ovulatory disorders, Endometrial, Iatrogenic and Not otherwise classified) classification system will facilitate accurate diagnosis and inform treatment options. Office hysteroscopy and increasing sophisticated imaging will assist provision of robust evidence for the underlying cause. Increased availability of medical options has expanded the choice for women and many will no longer need to recourse to potentially complicated surgery. Treatment must remain individualised and encompass the impact of pressure symptoms, desire for retention of fertility and contraceptive needs, as well as address the management of AUB in order to achieve improved quality of life. PMID:26803558

  6. Abortion for fetal abnormality.

    PubMed

    Maclean, N E

    1979-07-25

    I wish to thank Dr. Pauline Bennett for her reply (NZ Med J, 13 June). She has demonstrated well that in dealing with sensitive difficult issues such as abortion for fetal abnormality, the one thing the doctor is not recommended to do is to speak the truth] I am prompted to write this letter for 2 reasons. Firstly, the excellent letter written by Dr. A. M. Rutherford (NZ Med J, 13 June) on the subject of abortion stated, "The most disturbing feature about the whole controversy is the 'blunting of our conscience'." When the doctors are not encouraged to be honest with patients then indeed our conscience has been blunted. Secondly, I watched Holocaust last night, and cannot refrain from stating that I see frightening parallels between our liberal abortion policy and the activities of the Nazis. As I watched the "mental patients" being herded into the shed for gassing by the polite, tidy, white coated medical staff, and then heard the compassionate, sensitive, letter of the hospital authorities to the relatives of the deceased, the parallel became obvious. The mental patients were weak, defenseless, burdensome, and uneconomic; the unborn are weak, defenseless, burdensome, and uneconomic. The hospital authority's letter was acceptable in many ways, acceptable except that its words bore no relation to the truth. It is said that the "first casualty of war is the truth". Whether that war involves the Jews, or the insane, or the unborn, the statement would seem correct.

  7. Improved screening test for abnormal hemoglobins from dried blood samples.

    PubMed

    Altland, K; Kaempfer, M; Granda, H

    1979-01-01

    A method is described wherein blood samples taken from adults or newborns and dried on filter paper can be used for hemoglobin analysis within 2 years after sampling. The samples are eluted in 8 M urea in the presence of 5% 2-mercaptoethanol and 2% of the neutral detergent Nonidet P-40. Then the individual alpha, beta, gamma, and epsilon chains are separated by means of electrofocusing in 8 M urea-PAA gels. Up to 96 samples can be applied to a gel using multiple syringes. Several hundred samples can be analyzed daily by one person. This method may be especially useful for preventive programs against sickle cell anemia as well as for human mutation monitoring systems.

  8. Airport Screening

    MedlinePlus

    ... 2011 Photo courtesy of Dan Paluska/Flickr Denver Airport Security Screening Introduction With air travel regaining popularity and increased secu- rity measures, airport security screening has become an area of interest for ...

  9. Health Screening

    MedlinePlus

    Screenings are tests that look for diseases before you have symptoms. Screening tests can find diseases early, when they're easier ... Overweight and obesity Prostate cancer in men Which tests you need depends on your age, your sex, ...

  10. MRSA Screening

    MedlinePlus

    ... be limited. Home Visit Global Sites Search Help? MRSA Screening Share this page: Was this page helpful? Formal name: Methicillin resistant Staphylococcus aureus Screening Related tests: Wound Culture At a Glance ...

  11. Sociodemographic Correlates of Cancer Screening Services Among Hispanics and Non-Hispanic Whites in a Rural Setting

    PubMed Central

    Thompson, Beti; Chen, Lu

    2011-01-01

    Objectives To examine the relationship between age, race, ethnicity, education, insurance coverage, and income and use of cancer screening services. Methods We used a population-based sample (N = 1863) from a community randomized intervention study that took place in eastern Washington State. Results Pap testing was directly associated with having public health insurance, being 40 and older, and having a high income (>$35,000). Having Medicare coverage was predictive of having had a mammogram or sigmoidoscopy / colonoscopy screening, but not an FOBT. Conclusions Our findings may reflect age-dependent factors that influence access to health care. PMID:18844512

  12. Haem degradation in abnormal haemoglobins.

    PubMed Central

    Brown, S B; Docherty, J C

    1978-01-01

    The coupled oxidation of certain abnormal haemoglobins leads to different bile-pigment isomer distributions from that of normal haemoglobin. The isomer pattern may be correlated with the structure of the abnormal haemoglobin in the neighbourhood of the haem pocket. This is support for haem degradation by an intramolecular reaction. PMID:708385

  13. Systemic abnormalities in liver disease

    PubMed Central

    Minemura, Masami; Tajiri, Kazuto; Shimizu, Yukihiro

    2009-01-01

    Systemic abnormalities often occur in patients with liver disease. In particular, cardiopulmonary or renal diseases accompanied by advanced liver disease can be serious and may determine the quality of life and prognosis of patients. Therefore, both hepatologists and non-hepatologists should pay attention to such abnormalities in the management of patients with liver diseases. PMID:19554648

  14. Abnormal pressure in hydrocarbon environments

    USGS Publications Warehouse

    Law, B.E.; Spencer, C.W.

    1998-01-01

    Abnormal pressures, pressures above or below hydrostatic pressures, occur on all continents in a wide range of geological conditions. According to a survey of published literature on abnormal pressures, compaction disequilibrium and hydrocarbon generation are the two most commonly cited causes of abnormally high pressure in petroleum provinces. In young (Tertiary) deltaic sequences, compaction disequilibrium is the dominant cause of abnormal pressure. In older (pre-Tertiary) lithified rocks, hydrocarbon generation, aquathermal expansion, and tectonics are most often cited as the causes of abnormal pressure. The association of abnormal pressures with hydrocarbon accumulations is statistically significant. Within abnormally pressured reservoirs, empirical evidence indicates that the bulk of economically recoverable oil and gas occurs in reservoirs with pressure gradients less than 0.75 psi/ft (17.4 kPa/m) and there is very little production potential from reservoirs that exceed 0.85 psi/ft (19.6 kPa/m). Abnormally pressured rocks are also commonly associated with unconventional gas accumulations where the pressuring phase is gas of either a thermal or microbial origin. In underpressured, thermally mature rocks, the affected reservoirs have most often experienced a significant cooling history and probably evolved from an originally overpressured system.

  15. Electrocardiograph abnormalities revealed during laparoscopy.

    PubMed

    Nijjer, Sukhjinder; Dubrey, Simon William

    2010-01-01

    This brief case presents a well patient in whom an electrocardiograph abnormality consistent with an accessory pathway was found during a routine procedure. We present the electrocardiographs, explain the underlying condition, and consider why the abnormality was revealed in this manner.

  16. Racial and Ethnic disparity in symptomatic breast cancer awareness despite a recent screen: the role of tumor biology and mammography facility characteristics

    PubMed Central

    Mortel, Mylove; Rauscher, Garth H; Murphy, Anne Marie; Hoskins, Kent; Warnecke, Richard B

    2015-01-01

    BACKGROUND In a racially and ethnically diverse sample of recently diagnosed urban breast cancer patients, we examined associations of patient, tumor biology and mammography facility characteristics on the probability of symptomatic discovery of their breast cancer despite a recent prior screening mammogram. METHODS In the Breast Cancer Care in Chicago study, self-reports at interview were used to define patients as having a screen-detected breast cancer or having symptomatic awareness despite a recent screening mammogram (SADRS), in the past one or two years. Patients with symptomatic breast cancer who did not report a recent prior screen were excluded from these analyses. Characteristics associated with more aggressive disease (estrogen and progesterone receptor negative status and higher tumor grade) were abstracted from medical records. Mammogram facility characteristics that might indicate aspects of screening quality were defined and controlled for in some analyses. RESULTS SADRS was more common among nH Black and Hispanic than nH White patients (36% and 42% vs. 25%, respectively, p=0.0004). SADRS was associated with ER/PR negative and higher grade disease. Patients screened at sites that relied on dedicated radiologists, and sites that were breast imaging centers of excellence were less likely to report SADRS. Tumor and facility factors together accounted for two-thirds of the disparity in SADRS (proportion mediated=70%, p=0.02). CONCLUSION Facility resources and tumor aggressiveness explain much of the racial/ethnic disparity in symptomatic breast cancer among recently screened patients. IMPACT: A more equitable distribution of high quality screening would ameliorate but not eliminate this disparity. PMID:26199340

  17. A comparative review of thermography as a breast cancer screening technique.

    PubMed

    Kennedy, Deborah A; Lee, Tanya; Seely, Dugald

    2009-03-01

    Breast cancer is the most frequently diagnosed cancer of women in North America. Despite advances in treatment that have reduced mortality, breast cancer remains the second leading cause of cancer induced death. Several well established tools are used to screen for breast cancer including clinical breast exams, mammograms, and ultrasound. Thermography was first introduced as a screening tool in 1956 and was initially well accepted. However, after a 1977 study found thermography to lag behind other screening tools, the medical community lost interest in this diagnostic approach. This review discusses each screening tool with a focus brought to thermography. No single tool provides excellent predictability; however, a combination that incorporates thermography may boost both sensitivity and specificity. In light of technological advances and maturation of the thermographic industry, additional research is required to confirm the potential of this technology to provide an effective non-invasive, low risk adjunctive tool for the early detection of breast cancer.

  18. Computerized multiple image analysis on mammograms: performance improvement of nipple identification for registration of multiple views using texture convergence analyses

    NASA Astrophysics Data System (ADS)

    Zhou, Chuan; Chan, Heang-Ping; Sahiner, Berkman; Hadjiiski, Lubomir M.; Paramagul, Chintana

    2004-05-01

    Automated registration of multiple mammograms for CAD depends on accurate nipple identification. We developed two new image analysis techniques based on geometric and texture convergence analyses to improve the performance of our previously developed nipple identification method. A gradient-based algorithm is used to automatically track the breast boundary. The nipple search region along the boundary is then defined by geometric convergence analysis of the breast shape. Three nipple candidates are identified by detecting the changes along the gray level profiles inside and outside the boundary and the changes in the boundary direction. A texture orientation-field analysis method is developed to estimate the fourth nipple candidate based on the convergence of the tissue texture pattern towards the nipple. The final nipple location is determined from the four nipple candidates by a confidence analysis. Our training and test data sets consisted of 419 and 368 randomly selected mammograms, respectively. The nipple location identified on each image by an experienced radiologist was used as the ground truth. For 118 of the training and 70 of the test images, the radiologist could not positively identify the nipple, but provided an estimate of its location. These were referred to as invisible nipple images. In the training data set, 89.37% (269/301) of the visible nipples and 81.36% (96/118) of the invisible nipples could be detected within 1 cm of the truth. In the test data set, 92.28% (275/298) of the visible nipples and 67.14% (47/70) of the invisible nipples were identified within 1 cm of the truth. In comparison, our previous nipple identification method without using the two convergence analysis techniques detected 82.39% (248/301), 77.12% (91/118), 89.93% (268/298) and 54.29% (38/70) of the nipples within 1 cm of the truth for the visible and invisible nipples in the training and test sets, respectively. The results indicate that the nipple on mammograms can be

  19. Analysis of perceived similarity between pairs of microcalcification clusters in mammograms

    SciTech Connect

    Wang, Juan; Jing, Hao; Wernick, Miles N.; Yang, Yongyi; Nishikawa, Robert M.

    2014-05-15

    Purpose: Content-based image retrieval aims to assist radiologists by presenting example images with known pathology that are visually similar to the case being evaluated. In this work, the authors investigate several fundamental issues underlying the similarity ratings between pairs of microcalcification (MC) lesions on mammograms as judged by radiologists: the degree of variability in the similarity ratings, the impact of this variability on agreement between readers in retrieval of similar lesions, and the factors contributing to the readers’ similarity ratings. Methods: The authors conduct a reader study on a set of 1000 image pairs of MC lesions, in which a group of experienced breast radiologists rated the degree of similarity between each image pair. The image pairs are selected, from among possible pairings of 222 cases (110 malignant, 112 benign), based on quantitative image attributes (features) and the results of a preliminary reader study. Next, the authors apply analysis of variance (ANOVA) to quantify the level of variability in the readers’ similarity ratings, and study how the variability in individual reader ratings affects consistency between readers. The authors also measure the extent to which readers agree on images which are most similar to a given query, for which the Dice coefficient is used. To investigate how the similarity ratings potentially relate to the attributes underlying the cases, the authors study the fraction of perceptually similar images that also share the same benign or malignant pathology as the query image; moreover, the authors apply multidimensional scaling (MDS) to embed the cases according to their mutual perceptual similarity in a two-dimensional plot, which allows the authors to examine the manner in which similar lesions relate to one another in terms of benign or malignant pathology and clustered MCs. Results: The ANOVA results show that the coefficient of determination in the reader similarity ratings is 0

  20. Exploring the potential of context-sensitive CADe in screening mammography

    SciTech Connect

    Tourassi, Georgia D.; Mazurowski, Maciej A.; Harrawood, Brian P.; Krupinski, Elizabeth A.

    2010-11-15

    Purpose: Conventional computer-assisted detection (CADe) systems in screening mammography provide the same decision support to all users. The aim of this study was to investigate the potential of a context-sensitive CADe system which provides decision support guided by each user's focus of attention during visual search and reporting patterns for a specific case. Methods: An observer study for the detection of malignant masses in screening mammograms was conducted in which six radiologists evaluated 20 mammograms while wearing an eye-tracking device. Eye-position data and diagnostic decisions were collected for each radiologist and case they reviewed. These cases were subsequently analyzed with an in-house knowledge-based CADe system using two different modes: Conventional mode with a globally fixed decision threshold and context-sensitive mode with a location-variable decision threshold based on the radiologists' eye dwelling data and reporting information. Results: The CADe system operating in conventional mode had 85.7% per-image malignant mass sensitivity at 3.15 false positives per image (FPsI). The same system operating in context-sensitive mode provided personalized decision support at 85.7%-100% sensitivity and 0.35-0.40 FPsI to all six radiologists. Furthermore, context-sensitive CADe system could improve the radiologists' sensitivity and reduce their performance gap more effectively than conventional CADe. Conclusions: Context-sensitive CADe support shows promise in delineating and reducing the radiologists' perceptual and cognitive errors in the diagnostic interpretation of screening mammograms more effectively than conventional CADe.

  1. Colon cancer screening

    MedlinePlus

    Screening for colon cancer; Colonoscopy - screening; Sigmoidoscopy - screening; Virtual colonoscopy - screening; Fecal immunochemical test; Stool DNA test; sDNA test; Colorectal cancer - screening; Rectal ...

  2. Chromosomal abnormalities in human sperm

    SciTech Connect

    Martin, R.H.

    1985-01-01

    The ability to analyze human sperm chromosome complements after penetration of zona pellucida-free hamster eggs provides the first opportunity to study the frequency and type of chromosomal abnormalities in human gametes. Two large-scale studies have provided information on normal men. We have studied 1,426 sperm complements from 45 normal men and found an abnormality rate of 8.9%. Brandriff et al. (5) found 8.1% abnormal complements in 909 sperm from 4 men. The distribution of numerical and structural abnormalities was markedly dissimilar in the 2 studies. The frequency of aneuploidy was 5% in our sample and only 1.6% in Brandriff's, perhaps reflecting individual variability among donors. The frequency of 24,YY sperm was low: 0/1,426 and 1/909. This suggests that the estimates of nondisjunction based on fluorescent Y body data (1% to 5%) are not accurate. We have also studied men at increased risk of sperm chromosomal abnormalities. The frequency of chromosomally unbalanced sperm in 6 men heterozygous for structural abnormalities varied dramatically: 77% for t11;22, 32% for t6;14, 19% for t5;18, 13% for t14;21, and 0% for inv 3 and 7. We have also studied 13 cancer patients before and after radiotherapy and demonstrated a significant dose-dependent increase of sperm chromosome abnormalities (numerical and structural) 36 months after radiation treatment.

  3. Breast Cancer Screening Among Dominican Latinas: A Closer Look at Fatalism and Other Social and Cultural Factors.

    PubMed

    Abraído-Lanza, Ana F; Martins, Mariana Cunha; Shelton, Rachel C; Flórez, Karen R

    2015-10-01

    With the marked increase of the Latino population in the United States during the past 20 years, there has been growing interest in the social, cultural, and structural factors that may impede breast cancer screening among Latino women, especially among those subgroups that have been understudied. Acculturation and fatalism are central cultural constructs in these growing fields of research. However, there is great debate on the extent to which acculturation and fatalism affect breast cancer screening among Latinas relative to other social or structural factors or logistical barriers. Moreover, little theoretical work specifies or tests pathways between social, structural, and cultural determinants of screening. This study tests a theoretical model of social and structural (socioeconomic status and access to health care) and cultural factors (acculturation and fatalism) as correlates of mammography screening among Dominican Latinas, a group that has been understudied. The study expands prior work by examining other factors identified as potential impediments to mammography screening, specifically psychosocial (e.g., embarrassment, pain) and logistical (e.g., not knowing how to get a mammogram, cost) barriers. Interview-administered surveys were conducted with 318 Latinas from the Dominican Republic aged 40 years or older. Fatalistic beliefs were not associated with mammogram screening. Greater acculturation assessed as language use was associated with decreased screening. The strongest predictor of decreased screening was perceived barriers. Results highlight the importance of assessing various self-reported psychosocial and logistical barriers to screening. Possible avenues for screening interventions include intensifying public health campaigns and use of personalized messages to address barriers to screening. Results add to a limited body of research on Dominicans, who constitute the fifth largest Latino group in the United States. PMID:25869406

  4. Pre-reading mammograms by specialised breast technologists: legal implications for technologist and radiologist in The Netherlands.

    PubMed

    van den Biggelaar, F J H M; Flobbe, K; van Engelshoven, J M A; de Bijl, N P Y M

    2009-09-01

    This paper focuses on the legal implications in terms of duties and responsibilities for radiologists and radiologic technologists of independent pre-reading of mammograms by radiologic technologists, so patients could be discharged without being seen by a radiologist. Pre-reading could be effectuated when preconditions are met to perform reserved procedures by unauthorised professionals as stated in the Individual Health Care Professions (IHCP) Act. Furthermore, compliance with a protocol or code of conduct in combination with adequate training and supervision should be sufficient to disprove potential claims. For a wide implementation, pre-reading should be well-embedded in legal rules and should answer the professional standard of care. PMID:19788004

  5. Predicting radiologists' true and false positive decisions in reading mammograms by using gaze parameters and image-based features

    NASA Astrophysics Data System (ADS)

    Gandomkar, Ziba; Tay, Kevin; Ryder, Will; Brennan, Patrick C.; Mello-Thoms, Claudia

    2016-03-01

    Radiologists' gaze-related parameters combined with image-based features were utilized to classify suspicious mammographic areas ultimately scored as True Positives (TP) and False Positives (FP). Eight breast radiologists read 120 two-view digital mammograms of which 59 had biopsy proven cancer. Eye tracking data was collected and nearby fixations were clustered together. Suspicious areas on mammograms were independently identified based on thresholding an intensity saliency map followed by automatic segmentation and pruning steps. For each radiologist reported area, radiologist's fixation clusters in the area, as well as neighboring suspicious areas within 2.5° of the center of fixation, were found. A 45-dimensional feature vector containing gaze parameters of the corresponding cluster along with image-based characteristics was constructed. Gaze parameters included total number of fixations in the cluster, dwell time, time to hit the cluster for the first time, maximum number of consecutive fixations, and saccade magnitude of the first fixation in the cluster. Image-based features consisted of intensity, shape, and texture descriptors extracted from the region around the suspicious area, its surrounding tissue, and the entire breast. For each radiologist, a userspecific Support Vector Machine (SVM) model was built to classify the reported areas as TPs or FPs. Leave-one-out cross validation was utilized to avoid over-fitting. A feature selection step was embedded in the SVM training procedure by allowing radial basis function kernels to have 45 scaling factors. The proposed method was compared with the radiologists' performance using the jackknife alternative free-response receiver operating characteristic (JAFROC). The JAFROC figure of merit increased significantly for six radiologists.

  6. Multiresolution Local Binary Pattern texture analysis for false positive reduction in computerized detection of breast masses on mammograms

    NASA Astrophysics Data System (ADS)

    Choi, Jae Young; Kim, Dae Hoe; Choi, Seon Hyeong; Ro, Yong Man

    2012-03-01

    We investigated the feasibility of using multiresolution Local Binary Pattern (LBP) texture analysis to reduce falsepositive (FP) detection in a computerized mass detection framework. A new and novel approach for extracting LBP features is devised to differentiate masses and normal breast tissue on mammograms. In particular, to characterize the LBP texture patterns of the boundaries of masses, as well as to preserve the spatial structure pattern of the masses, two individual LBP texture patterns are then extracted from the core region and the ribbon region of pixels of the respective ROI regions, respectively. These two texture patterns are combined to produce the so-called multiresolution LBP feature of a given ROI. The proposed LBP texture analysis of the information in mass core region and its margin has clearly proven to be significant and is not sensitive to the precise location of the boundaries of masses. In this study, 89 mammograms were collected from the public MAIS database (DB). To perform a more realistic assessment of FP reduction process, the LBP texture analysis was applied directly to a total of 1,693 regions of interest (ROIs) automatically segmented by computer algorithm. Support Vector Machine (SVM) was applied for the classification of mass ROIs from ROIs containing normal tissue. Receiver Operating Characteristic (ROC) analysis was conducted to evaluate the classification accuracy and its improvement using multiresolution LBP features. With multiresolution LBP features, the classifier achieved an average area under the ROC curve, , z A of 0.956 during testing. In addition, the proposed LBP features outperform other state-of-the-arts features designed for false positive reduction.

  7. Estimation of radiation risk from screening mammography: Recent trends and comparison with expected benefits

    SciTech Connect

    Feig, S.A.; Ehrlich, S.M. )

    1990-03-01

    On the basis of recent epidemiologic studies, the National Institutes of Health in 1985 provided a new estimate for radiation risk to the breast that employed a relative risk model and acknowledged greater dependence on age at exposure. Lifetime risks from a single mammogram may be calculated from this estimate and are lower than those based on the previous 1977 National Cancer Institute estimate. Possible years of life expectancy lost from annual mammography beginning at age 40 years may also be calculated and are negligible compared with estimates for years of life expectancy gained from such screening.

  8. Mammography Rates for Breast Cancer Screening: A Comparison of First Nations Women and All Other Women Living in Manitoba, Canada, 1999–2008

    PubMed Central

    Demers, Alain A.; Decker, Kathleen M.; Kliewer, Erich V.; Musto, Grace; Shu, Emma; Biswanger, Natalie; Fradette, Katherine; Elias, Brenda; Griffith, Jane

    2015-01-01

    Introduction First Nations (FN) women historically have low rates of preventive care, including breast cancer screening. We describe the frequency of breast cancer screening among FN women living in Manitoba and all other Manitoba (AOM) women after the introduction of a provincial, organized breast screening program and explore how age, area of residence, and time period influenced breast cancer screening participation. Methods The federal Indian Registry was linked to 2 population-based, provincial data sources. A negative binomial model was used to compare breast cancer screening for FN women with screening for AOM women. Results From 1999 through 2008, 37% of FN and 59% of AOM women had a mammogram in the previous 2 years. Regardless of area of residence, FN women were less likely to have had a mammogram than AOM women (relative rate [RR] = 0.69 in the north, RR = 0.55 in the rural south, and RR = 0.53 in urban areas). Conclusions FN women living in Manitoba had lower mammography rates than AOM women. To ensure equity for all Manitoba women, strategies that encourage FN women to participate in breast cancer screening should be promoted. PMID:26020546

  9. Automated assessment of bilateral breast volume asymmetry as a breast cancer biomarker during mammographic screening

    NASA Astrophysics Data System (ADS)

    Williams, Alex C.; Hitt, Austin; Voisin, Sophie; Tourassi, Georgia

    2013-03-01

    The biological concept of bilateral symmetry as a marker of developmental stability and good health is well established. Although most individuals deviate slightly from perfect symmetry, humans are essentially considered bilaterally symmetrical. Consequently, increased fluctuating asymmetry of paired structures could be an indicator of disease. There are several published studies linking bilateral breast size asymmetry with increased breast cancer risk. These studies were based on radiologists' manual measurements of breast size from mammographic images. We aim to develop a computerized technique to assess fluctuating breast volume asymmetry in screening mammograms and investigate whether it correlates with the presence of breast cancer. Using a large database of screening mammograms with known ground truth we applied automated breast region segmentation and automated breast size measurements in CC and MLO views using three well established methods. All three methods confirmed that indeed patients with breast cancer have statistically significantly higher fluctuating asymmetry of their breast volumes. However, statistically significant difference between patients with cancer and benign lesions was observed only for the MLO views. The study suggests that automated assessment of global bilateral asymmetry could serve as a breast cancer risk biomarker for women undergoing mammographic screening. Such biomarker could be used to alert radiologists or computer-assisted detection (CAD) systems to exercise increased vigilance if higher than normal cancer risk is suspected.

  10. Correlates of breast cancer screening among Asian Americans enrolled in ENCOREplus.

    PubMed

    Leong-Wu, Cindy A; Fernandez, Maria E

    2006-07-01

    This study examines the correlates of mammogram utilization among predominantly low income Asian American women using cross sectional data of women recruited through the ENCORE(plus) program (n = 1,695) between July 1996 and June 1998. Logistic regression was used to examine the independent effect of variables corresponding to Andersen's behavioral model of health services utilization on mammography screening behavior. Foreign-born women living in the U.S. < 5 years and between 5 and 10 years were significantly less likely to have ever had a mammogram than women who were born in the U.S. (OR 0.22; CI 0.12, 0.40 and OR 0.48; CI 0.27, 0.86, respectively). Women 40-49 years old were half as likely to adhere to mammography screening recommendations as women 50-64 years (CI 0.33, 0.76). Health insurance was positively associated with adherence to mammography screening guidelines (OR 1.59; CI 1.02, 2.48). The results of this study highlight the need for health education about breast cancer and mammography among Asian American women. Policy work also needs to be directed toward improving access to health care in this community.

  11. Health literacy and breast cancer screening among Mexican American women in South Texas.

    PubMed

    Pagán, José A; Brown, Cynthia J; Asch, David A; Armstrong, Katrina; Bastida, Elena; Guerra, Carmen

    2012-03-01

    Breast cancer is the main cause of cancer deaths for Hispanic women. This study analyzes the role of functional health literacy on mammography screening behavior and adherence of Hispanic women. Survey data from 722 Mexican American women age 40 and over residing in the Lower Rio Grande Valley of Texas in 2008 were used to estimate logistic regression models to assess the role of functional health literacy on mammography screening behavior and adherence. About 51% of survey respondents had a functional health literacy level deemed as inadequate or marginally functional. After adjusting for other factors, women with adequate health literacy levels were more likely to report to have ever had a mammogram (odds ratio [OR] = 2.92; 95% confidence interval [CI] = 1.62-5.28), to have had a mammogram within the last 2 years (OR = 1.70; 95% CI = 1.14-2.53) or to have had one within the last year (OR = 2.30; 95% CI = 1.54-3.43), compared to women with inadequate or marginally adequate functional health literacy levels. Inadequate/marginal functional health literacy is strongly associated with lower mammography screening. Large improvements in breast cancer control in this population may come from either basic advances in health literacy or by tailored approaches to help women with low literacy navigate local health care systems.

  12. Automated assessment of bilateral breast volume asymmetry as a breast cancer biomarker during mammographic screening

    SciTech Connect

    Williams, Alex C; Hitt, Austin N; Voisin, Sophie; Tourassi, Georgia

    2013-01-01

    The biological concept of bilateral symmetry as a marker of developmental stability and good health is well established. Although most individuals deviate slightly from perfect symmetry, humans are essentially considered bilaterally symmetrical. Consequently, increased fluctuating asymmetry of paired structures could be an indicator of disease. There are several published studies linking bilateral breast size asymmetry with increased breast cancer risk. These studies were based on radiologists manual measurements of breast size from mammographic images. We aim to develop a computerized technique to assess fluctuating breast volume asymmetry in screening mammograms and investigate whether it correlates with the presence of breast cancer. Using a large database of screening mammograms with known ground truth we applied automated breast region segmentation and automated breast size measurements in CC and MLO views using three well established methods. All three methods confirmed that indeed patients with breast cancer have statistically significantly higher fluctuating asymmetry of their breast volumes. However, statistically significant difference between patients with cancer and benign lesions was observed only for the MLO views. The study suggests that automated assessment of global bilateral asymmetry could serve as a breast cancer risk biomarker for women undergoing mammographic screening. Such biomarker could be used to alert radiologists or computer-assisted detection (CAD) systems to exercise increased vigilance if higher than normal cancer risk is suspected.

  13. Cartilage tissue engineering identifies abnormal human induced pluripotent stem cells.

    PubMed

    Yamashita, Akihiro; Liu, Shiying; Woltjen, Knut; Thomas, Bradley; Meng, Guoliang; Hotta, Akitsu; Takahashi, Kazutoshi; Ellis, James; Yamanaka, Shinya; Rancourt, Derrick E

    2013-01-01

    Safety is the foremost issue in all human cell therapies, but human induced pluripotent stem cells (iPSCs) currently lack a useful safety indicator. Studies in chimeric mice have demonstrated that certain lines of iPSCs are tumorigenic; however a similar screen has not been developed for human iPSCs. Here, we show that in vitro cartilage tissue engineering is an excellent tool for screening human iPSC lines for tumorigenic potential. Although all human embryonic stem cells (ESCs) and most iPSC lines tested formed cartilage safely, certain human iPSCs displayed a pro-oncogenic state, as indicated by the presence of secretory tumors during cartilage differentiation in vitro. We observed five abnormal iPSC clones amoungst 21 lines derived from five different reprogramming methods using three cellular origins. We conclude that in vitro cartilage tissue engineering is a useful approach to identify abnormal human iPSC lines.

  14. Characteristics and prognosis of interval cancers after biennial screen-film or full-field digital screening mammography.

    PubMed

    Weber, Roy J P; van Bommel, Rob M G; Louwman, Marieke W; Nederend, Joost; Voogd, Adri C; Jansen, Frits H; Tjan-Heijnen, Vivianne C G; Duijm, Lucien E M

    2016-08-01

    We determined the characteristics and prognosis of interval breast cancers (IC) at screen-film (SFM) and full-field digital (FFDM) screening mammography. The study population consisted of 417,746 consecutive screening mammograms (302,699 SFM screens and 115,047 FFDM screens), obtained between 2000 and 2011. During 2-year follow-up, we collected breast imaging reports, surgical reports, and pathology results. A total of 800 ICs had been diagnosed in the screened population, of which 288 detected in the first year (early ICs) and 512 in the second year (late ICs) after a negative screen. 31.3 % of early IC's and 19.1 % of late IC's, respectively, were visible in retrospect on the latest previous screens, but had been missed during screening (P < 0.001). Missed invasive ICs were larger (28.5 mm vs. 23.9 mm, P = 0.003) and showed a higher fraction of T3+cancers (16.9 vs. 8.5 %, P = 0.02) than true ICs (i.e., not visible at the latest screen). A higher portion of missed than true ICs underwent mastectomy (44.7 vs. 30.8 %, P = 0.002). We found no differences in mammographic and tumor characteristics for early ICs, detected either after SFM or FFDM. Late ICs following FFDM were more often true ICs than missed ICs (69.0 vs. 57.6 %, P = 0.03) and more often receptor triple negative (P = 0.02), compared to late ICs at SFM. Interval cancer subgroups showed comparable overall survival. Interval cancer subgroups show distinctive mammographic and tumor characteristics but a comparable overall survival. PMID:27393617

  15. Racial Differences in Knowledge, Attitudes, and Cancer Screening Practices among a Triracial Rural Population

    PubMed Central

    Paskett, Electra D.; Tatum, Cathy; Rushing, Julia; Michielutte, Robert; Bell, Ronny; Foley, Kristie Long; Bittoni, Marisa; Dickinson, Stephanie

    2015-01-01

    BACKGROUND Low-income, minority, and rural women face a greater burden with regard to cancer-related morbidity and mortality and are usually underrepresented in cancer control research. The Robeson County Outreach, Screening and Education Project sought to increase mammography use among low-income, minority, and rural women age > 40 years. The current article reports on racial disparities and barriers to screening, especially those related to knowledge, attitudes, and behaviors. METHODS A baseline survey was administered to 897 women age > 40 years who lived in rural Robeson County in North Carolina. The sample consisted of three principal racial groups: whites, African Americans, and Native Americans. Survey comparisons were made among racial groups with respect to knowledge, attitudes, and behaviors regarding breast and cervical carcinoma screening. RESULTS Overall, Native American and African-American women had lower levels of knowledge, more inaccurate beliefs, and more barriers to screening compared with white women. Among the notable findings were that 43% of the patient population did not mention mammograms and 53% did not mention Pap smears as breast and cervical carcinoma screening tests, respectively; furthermore, compared with white women, significantly fewer African-American and Native American women mentioned these tests (P < 0.001). Sixty-seven percent of all women reported that a physician had never encouraged them to receive a mammogram, although 75% reported having received a regular checkup in the preceding year. CONCLUSIONS Although all low-income rural women experienced significant barriers to receiving cancer screening tests, these barriers were more common for minority women compared with white women. More research is needed to identify ways to overcome such barriers, especially among Native American women. The results of the current study have important implications with respect to the designing of interventions aimed at improving cancer

  16. Investigating the link between the radiological experience and the allocation of an 'equivocal finding'

    NASA Astrophysics Data System (ADS)

    Rawashdeh, Mohammad A.; Vidotti, Camila; Lee, Warwick; Lewis, Sarah J.; Mello-Thoms, Claudia; Reed, Warren M.; Tapia, Kriscia; Brennan, Patrick C.

    2016-03-01

    Rationale and Objectives: This study will investigate the link between radiologists' experience in reporting mammograms, their caseloads and the decision to give a classification of Royal Australian and New Zealand College of Radiologists (RANZCR) category `3' (indeterminate or equivocal finding). Methods: A test set of 60 mammograms comprising of 20 abnormal and 40 normal cases were shown to 92 radiologists. Each radiologist was asked to identify and localize abnormalities and provide a RANZCR assessment category. Details were obtained from each reader regarding their experience, qualifications and breast reading activities. `Equivocal fractions' were calculated by dividing the number of `equivocal findings' given by each radiologist in the abnormal and normal cases by the total number of cases analyzed: 20 and 40 respectively. The `equivocal fractions' for each of the groups (normal vs abnormal) were calculated and independently correlated with age, number of years since qualification as a radiologist, number of years reading mammograms, number of mammograms read per year, number of hours reading mammograms per week and number of mammograms read over lifetime (the number of years reading mammograms multiplied by the number of mammograms read per year). The non-parametric Spearman test was used. Results: Statistically negative correlations were noted between `equivocal fractions' for the following groups: • For abnormal cases: hours per week (r= -0.38 P= 0.0001) • For normal cases: total number of mammograms read per year (r= -0.29, P= 0.006); number of mammograms read over lifetime (r= -0.21, P= 0.049)); hours reading mammograms per week (r= - 0.20, P= 0.05). Conclusion: Radiologists with greater reading experience assign fewer RANZCR category 3 or equivocal classifications. The findings have implications for screening program efficacy and recall rates. This work is still in progress and further data will be presented at the conference.

  17. Prevalence and distribution of congenital abnormalities in Turkey: differences between the prenatal and postnatal periods.

    PubMed

    Oztarhan, Kazim; Gedikbasi, Ali; Yildirim, Dogukan; Arslan, Oguz; Adal, Erdal; Kavuncuoglu, Sultan; Ozbek, Sibel; Ceylan, Yavuz

    2010-12-01

    The aim of this study was to determine the distribution of cases associated with congenital abnormalities during the following three periods: pregnancy, birth, and the neonatal period. This was a retrospective study of cases between 2002 and 2006. All abnormal pregnancies, elective terminations of pregnancies, stillbirths, and births with congenital abnormalities managed in the Neonatology Unit were classified based on the above distribution scheme. During the 5-year study period, 1906 cases with congenital abnormalities were recruited, as follows: 640 prenatally detected and terminated cases, with most abnormalities related to the central nervous system, chromosomes, and urogenital system (56.7%, 12.7%, and 8.9%, respectively); 712 neonates with congenital abnormalities (congenital heart disease [49.2%], central nervous system abnormalities [14.7%], and urogenital system abnormalities [12.9%]); and hospital stillbirths, of which 34.2% had malformations (220 prenatal cases [34.4%] had multiple abnormalities, whereas 188 liveborn cases [26.4%] had multiple abnormalities). The congenital abnormalities rate between 2002 and 2006 was 2.07%. Systematic screening for fetal anomalies is the primary means for identification of affected pregnancies.

  18. Kidney transplantation in abnormal bladder

    PubMed Central

    Mishra, Shashi K.; Muthu, V.; Rajapurkar, Mohan M.; Desai, Mahesh R.

    2007-01-01

    Structural urologic abnormalities resulting in dysfunctional lower urinary tract leading to end stage renal disease may constitute 15% patients in the adult population and up to 20-30% in the pediatric population. A patient with an abnormal bladder, who is approaching end stage renal disease, needs careful evaluation of the lower urinary tract to plan the most satisfactory technical approach to the transplant procedure. Past experience of different authors can give an insight into the management and outcome of these patients. This review revisits the current literature available on transplantation in abnormal bladder and summarizes the clinical approach towards handling this group of difficult transplant patients. We add on our experience as we discuss the various issues. The outcome of renal transplant in abnormal bladder is not adversely affected when done in a reconstructed bladder. Correct preoperative evaluation, certain technical modification during transplant and postoperative care is mandatory to avoid complications. Knowledge of the abnormal bladder should allow successful transplantation with good outcome. PMID:19718334

  19. Complex patterns of abnormal heartbeats

    NASA Technical Reports Server (NTRS)

    Schulte-Frohlinde, Verena; Ashkenazy, Yosef; Goldberger, Ary L.; Ivanov, Plamen Ch; Costa, Madalena; Morley-Davies, Adrian; Stanley, H. Eugene; Glass, Leon

    2002-01-01

    Individuals having frequent abnormal heartbeats interspersed with normal heartbeats may be at an increased risk of sudden cardiac death. However, mechanistic understanding of such cardiac arrhythmias is limited. We present a visual and qualitative method to display statistical properties of abnormal heartbeats. We introduce dynamical "heartprints" which reveal characteristic patterns in long clinical records encompassing approximately 10(5) heartbeats and may provide information about underlying mechanisms. We test if these dynamics can be reproduced by model simulations in which abnormal heartbeats are generated (i) randomly, (ii) at a fixed time interval following a preceding normal heartbeat, or (iii) by an independent oscillator that may or may not interact with the normal heartbeat. We compare the results of these three models and test their limitations to comprehensively simulate the statistical features of selected clinical records. This work introduces methods that can be used to test mathematical models of arrhythmogenesis and to develop a new understanding of underlying electrophysiologic mechanisms of cardiac arrhythmia.

  20. Relationship between lower urinary tract abnormalities and disease-related parameters in multiple sclerosis.

    PubMed

    Koldewijn, E L; Hommes, O R; Lemmens, W A; Debruyne, F M; van Kerrebroeck, P E

    1995-07-01

    Multiple sclerosis affects the lower urinary tract in many patients. The relationship between lower urinary tract abnormalities and disease-related parameters of multiple sclerosis is not well described. We screened urologically and neurologically 212 patients according to a standard protocol. Micturition complaints were noted in 52% of the patients and urodynamic abnormalities were found in 64%. A statistical correlation was found between detrusor hyperactivity and detrusor hypoactivity with disease-related parameters, that is disease duration, disability status, myelin basic protein concentration in the cerebrospinal fluid and neurophysiological investigations. No relationship was found between detrusor hypersensibility or detrusor hyposensibility and the aforementioned disease-related parameters. In 1 patient upper urinary tract abnormalities were noted in combination with urodynamic abnormalities. We conclude that lower urinary tract abnormalities can be found in every patient with multiple sclerosis unrelated to the state of the disease. Severe upper urinary tract abnormalities are rare. PMID:7539859

  1. [Emotion Disorders and Abnormal Perspiration].

    PubMed

    Umeda, Satoshi

    2016-08-01

    This article reviewed the relationship between emotional disorders and abnormal perspiration. First, I focused on local brain areas related to emotional processing, and summarized the functions of the emotional network involving those local areas. Functional disorders followed by the damage in the amygdala, orbitofrontal cortex, and insular cortex were reviewed, including related abnormal perspiration. I then addressed the mechanisms of how autonomic disorders influence emotional processing. Finally, possible future directions for integrated understanding of the connection between neural activities and bodily reactions were discussed. PMID:27503817

  2. [Emotion Disorders and Abnormal Perspiration].

    PubMed

    Umeda, Satoshi

    2016-08-01

    This article reviewed the relationship between emotional disorders and abnormal perspiration. First, I focused on local brain areas related to emotional processing, and summarized the functions of the emotional network involving those local areas. Functional disorders followed by the damage in the amygdala, orbitofrontal cortex, and insular cortex were reviewed, including related abnormal perspiration. I then addressed the mechanisms of how autonomic disorders influence emotional processing. Finally, possible future directions for integrated understanding of the connection between neural activities and bodily reactions were discussed.

  3. Image fusion of Ultrasound Computer Tomography volumes with X-ray mammograms using a biomechanical model based 2D/3D registration.

    PubMed

    Hopp, T; Duric, N; Ruiter, N V

    2015-03-01

    Ultrasound Computer Tomography (USCT) is a promising breast imaging modality under development. Comparison to a standard method like mammography is essential for further development. Due to significant differences in image dimensionality and compression state of the breast, correlating USCT images and X-ray mammograms is challenging. In this paper we present a 2D/3D registration method to improve the spatial correspondence and allow direct comparison of the images. It is based on biomechanical modeling of the breast and simulation of the mammographic compression. We investigate the effect of including patient-specific material parameters estimated automatically from USCT images. The method was systematically evaluated using numerical phantoms and in-vivo data. The average registration accuracy using the automated registration was 11.9mm. Based on the registered images a method for analysis of the diagnostic value of the USCT images was developed and initially applied to analyze sound speed and attenuation images based on X-ray mammograms as ground truth. Combining sound speed and attenuation allows differentiating lesions from surrounding tissue. Overlaying this information on mammograms, combines quantitative and morphological information for multimodal diagnosis. PMID:25456144

  4. Prevalence of chromosomal abnormalities and Y chromosome microdeletion among men with severe semen abnormalities and its correlation with successful sperm retrieval

    PubMed Central

    Mascarenhas, Mariano; Thomas, Sumi; Kamath, Mohan S.; Ramalingam, Ramya; Kongari, Ann Marie; Yuvarani, S; Srivastava, Vivi M.; George, Korula

    2016-01-01

    AIM: To estimate the prevalence of chromosomal abnormalities and Y chromosome microdeletion among men with azoospermia and severe oligozoospermia and its correlation with successful surgical sperm retrieval. SETTING AND DESIGN: A prospective study in a tertiary level infertility unit. MATERIALS AND METHODS: In a prospective observation study, men with azoospermia and severe oligozoospermia (concentration <5 million/ml) attending the infertility center underwent genetic screening. Peripheral blood karyotype was done by Giemsa banding. Y chromosome microdeletion study was performed by a multiplex polymerase chain reaction. RESULTS: The study group consisted of 220 men, 133 of whom had azoospermia and 87 had severe oligozoospermia. Overall, 21/220 (9.5%) men had chromosomal abnormalities and 13/220 (5.9%) men had Y chromosome microdeletions. Chromosomal abnormalities were seen in 14.3% (19/133) of azoospermic men and Y chromosome microdeletions in 8.3% (11/133). Of the 87 men with severe oligozoospermia, chromosomal abnormalities and Y chromosome microdeletions were each seen in 2.3% (2/87). Testicular sperm aspiration was done in 13 men and was successful in only one, who had a deletion of azoospermia factor c. CONCLUSIONS: Our study found a fairly high prevalence of genetic abnormality in men with severe semen abnormalities and a correlation of genetic abnormalities with surgical sperm retrieval outcomes. These findings support the need for genetic screening of these men prior to embarking on surgical sperm retrieval and assisted reproductive technology intracytoplasmic sperm injection. PMID:27803587

  5. Impedance and Otoscopy Screening of Multiply Handicapped Children in School.

    ERIC Educational Resources Information Center

    Bruns, Janet M.; And Others

    1979-01-01

    In order to examine the effectiveness of impedance and otoscopic screening in the determination of middle ear abnormalities, 79 physically handicapped, mentally retarded school children (mean age 8 years) were examined. (Author/PHR)

  6. A method to test the reproducibility and to improve performance of computer-aided detection schemes for digitized mammograms

    SciTech Connect

    Zheng Bin; Gur, David; Good, Walter F.; Hardesty, Lara A.

    2004-11-01

    The purpose of this study is to develop a new method for assessment of the reproducibility of computer-aided detection (CAD) schemes for digitized mammograms and to evaluate the possibility of using the implemented approach for improving CAD performance. Two thousand digitized mammograms (representing 500 cases) with 300 depicted verified masses were selected in the study. Series of images were generated for each digitized image by resampling after a series of slight image rotations. A CAD scheme developed in our laboratory was applied to all images to detect suspicious mass regions. We evaluated the reproducibility of the scheme using the detection sensitivity and false-positive rates for the original and resampled images. We also explored the possibility of improving CAD performance using three methods of combining results from the original and resampled images, including simple grouping, averaging output scores, and averaging output scores after grouping. The CAD scheme generated a detection score (from 0 to 1) for each identified suspicious region. A region with a detection score >0.5 was considered as positive. The CAD scheme detected 238 masses (79.3% case-based sensitivity) and identified 1093 false-positive regions (average 0.55 per image) in the original image dataset. In eleven repeated tests using original and ten sets of rotated and resampled images, the scheme detected a maximum of 271 masses and identified as many as 2359 false-positive regions. Two hundred and eighteen masses (80.4%) and 618 false-positive regions (26.2%) were detected in all 11 sets of images. Combining detection results improved reproducibility and the overall CAD performance. In the range of an average false-positive detection rate between 0.5 and 1 per image, the sensitivity of the scheme could be increased approximately 5% after averaging the scores of the regions detected in at least four images. At low false-positive rate (e.g., {<=}average 0.3 per image), the grouping method

  7. Streptococcal screen

    MedlinePlus

    A negative strep screen most often means group A streptococcus is not present. It is unlikely that you have strep throat. If your provider still thinks that you may have strep throat, a throat culture will be done.

  8. Hypertension screening

    NASA Technical Reports Server (NTRS)

    Foulke, J. M.

    1975-01-01

    An attempt was made to measure the response to an announcement of hypertension screening at the Goddard Space Center, to compare the results to those of previous statistics. Education and patient awareness of the problem were stressed.

  9. Developmental Screening

    MedlinePlus

    Learn More about Your Child’s Development: Developmental Monitoring and Screening Taking a first step, waving “bye-bye,” and pointing to something interesting are all developmental milestones, ...

  10. TORCH screen

    MedlinePlus

    ... in a newborn. TORCH stands for toxoplasmosis , rubella , cytomegalovirus, herpes simplex, and HIV, but it can also ... to screen infants for infections such as toxoplasmosis, cytomegalovirus, herpes simplex, syphilis and others. These infections may ...

  11. Get Screened

    MedlinePlus

    ... Get Ready 3 of 4 sections Take Action: Cost and Insurance What about cost? Depending on your insurance plan, you may be able to get screening tests at no cost to you. Most insurance plans, including Medicaid and ...

  12. Newborn Screening

    MedlinePlus

    ... Pulse Oximetry Screening for CCHDs Sickle Cell Disease Laboratory SCID Quality Assurance Training and Resources For Lab Professionals Data and Reports Laboratory Reports National Birth Defects Prevention Network (NBDPN) Resources ...

  13. Electrocardiograph abnormalities in intracerebral hemorrhage.

    PubMed

    Takeuchi, Satoru; Nagatani, Kimihiro; Otani, Naoki; Wada, Kojiro; Mori, Kentaro

    2015-12-01

    This study investigated the prevalence and type of electrocardiography (ECG) abnormalities, and their possible association with the clinical/radiological findings in 118 consecutive patients with non-traumatic, non-neoplastic intracerebral hemorrhage (ICH). ECG frequently demonstrates abnormalities in patients with ischemic stroke and subarachnoid hemorrhage, but little is known of ECG changes in ICH patients. Clinical and radiological information was retrospectively reviewed. ECG recordings that were obtained within 24 hours of the initial hemorrhage were analyzed. Sixty-six patients (56%) had one or more ECG abnormalities. The most frequent was ST depression (24%), followed by left ventricular hypertrophy (20%), corrected QT interval (QTc) prolongation (19%), and T wave inversion (19%). The logistic regression analysis demonstrated the following: insular involvement was an independent predictive factor of ST depression (p<0.001; odds ratio OR 10.18; 95% confidence interval [CI] 2.84-36.57); insular involvement (p<0.001; OR 23.98; 95% CI 4.91-117.11) and presence of intraventricular hemorrhage (p<0.001; OR 8.72; 95% CI 2.69-28.29) were independent predictive factors of QTc prolongation; deep hematoma location (p<0.001; OR 19.12; 95% CI 3.82-95.81) and hematoma volume >30 ml (p=0.001; OR 6.58; 95% CI 2.11-20.46) were independent predictive factors of T wave inversion. We demonstrate associations between ECG abnormalities and detailed characteristics of ICH.

  14. Rethinking breast cancer screening strategies in resource-limited settings.

    PubMed

    Galukande, M; Kiguli-Malwadde, E

    2010-03-01

    The incidence of breast cancer in sub-Saharan nations is increasing. There is a worsening scarcity of Human Resource for Health in Uganda in particular and Sub Saharan Africa in general. Resources available for health care are predominantly spent on infectious disease care such as (HIV/AIDS, Tuberculosis and Malaria). These factors and more make the future of breast cancer care including screening in Sub Saharan African grim.Although mass breast cancer screening by mammography has been proved to be efficacious in the developed nations of the world, this has not been replicated in the developing nations because mass screening is not yet possible for the reasons stated. This paper proposes an alternative to mammography mass screening.Breast health programs for the most part are adhoc or non-existent in Uganda. The challenge of mass screening is not only limited to less readily available mammogram machines and trained human resources but also to the fact that the targeted population is of relatively young women in their 30s, implying that screening should commence earlier than it is practiced in nations where breast cancer peaks among women in their 50s. Mammography is not efficacious in young women with dense breast tissue. Ultra sound scans are not only up to 10 fold more available than mammography machines but are half the cost per examination.Although using ultra sound Scan for screening for non-palpable lumps is not up to par with standard breast cancer care mammography. It may be better than nothing, may be beneficial in aiding early cancer diagnosis. This concept is akin to the 'task shifting' advocated by WHO. It is worth investigating use of ultra sound scan for mass screening for breast cancer in resource-limited environments. This is not in any way lowering standards of oncologic diagnosis but filling the otherwise unattended to gap, the unmet need.

  15. Rethinking breast cancer screening strategies in resource-limited settings.

    PubMed

    Galukande, M; Kiguli-Malwadde, E

    2010-03-01

    The incidence of breast cancer in sub-Saharan nations is increasing. There is a worsening scarcity of Human Resource for Health in Uganda in particular and Sub Saharan Africa in general. Resources available for health care are predominantly spent on infectious disease care such as (HIV/AIDS, Tuberculosis and Malaria). These factors and more make the future of breast cancer care including screening in Sub Saharan African grim.Although mass breast cancer screening by mammography has been proved to be efficacious in the developed nations of the world, this has not been replicated in the developing nations because mass screening is not yet possible for the reasons stated. This paper proposes an alternative to mammography mass screening.Breast health programs for the most part are adhoc or non-existent in Uganda. The challenge of mass screening is not only limited to less readily available mammogram machines and trained human resources but also to the fact that the targeted population is of relatively young women in their 30s, implying that screening should commence earlier than it is practiced in nations where breast cancer peaks among women in their 50s. Mammography is not efficacious in young women with dense breast tissue. Ultra sound scans are not only up to 10 fold more available than mammography machines but are half the cost per examination.Although using ultra sound Scan for screening for non-palpable lumps is not up to par with standard breast cancer care mammography. It may be better than nothing, may be beneficial in aiding early cancer diagnosis. This concept is akin to the 'task shifting' advocated by WHO. It is worth investigating use of ultra sound scan for mass screening for breast cancer in resource-limited environments. This is not in any way lowering standards of oncologic diagnosis but filling the otherwise unattended to gap, the unmet need. PMID:20811531

  16. Preventive cancer screening practices in HIV-positive patients.

    PubMed

    Momplaisir, Florence; Mounzer, Karam; Long, Judith A

    2014-01-01

    As patients with HIV age, they are at risk of developing non-AIDS defining malignancies. We performed a questionnaire study to evaluate colorectal and breast cancer screening among HIV-positive and HIV-negative patients seeking care from either an integrated (HIV/primary care), nonintegrated (specialized HIV), or general internal medicine clinic between August 2010 and July 2011. We performed a logistic regression to determine the odds of cancer screening. A total of 813 surveys were collected, and 762 were included in the analysis. As much as 401 were from HIV-positive patients. Patients with HIV were less likely to be current with their colorectal cancer screening (CRCS) (54.4% versus 65.0%, p=0.009); mammography rates were 24.3% versus 62.3% if done during the past year (p<0.001), and 42.0% versus 86.7% if done during the past 5 years (p<0.001). In adjusted models, the odds of colorectal cancer screening in HIV-positive patients compared to negative controls was not statistically significant (OR 0.8; 95% CI 0.5-1.3); however, HIV-positive women remained significantly less likely to be current with breast cancer screening (BCS) whether their mammogram was completed within 1 year (OR 0.1, 95% CI 0.1-0.2) or within 5 years (OR 0.1, 95% CI 0.0-0.2). Integrated care was not associated with improved screening; however, having frequent visits to a primary care physician (PCP) increased the likelihood of getting screened. BCS was lower in HIV-positive compared to HIV-negative women. Frequent visits to a PCPs improved cancer screening.

  17. Effect of provider and patient reminders, deployment of nurse practitioners, and financial incentives on cervical and breast cancer screening rates

    PubMed Central

    Kaczorowski, Janusz; Hearps, Stephen J.C.; Lohfeld, Lynne; Goeree, Ron; Donald, Faith; Burgess, Ken; Sebaldt, Rolf J.

    2013-01-01

    Abstract Objective To evaluate the effect of the Provider and Patient Reminders in Ontario: Multi-Strategy Prevention Tools (P-PROMPT) reminder and recall system and pay-for-performance incentives on the delivery rates of cervical and breast cancer screening in primary care practices in Ontario, with or without deployment of nurse practitioners (NPs). Design Before-and-after comparisons of the time-appropriate delivery rates of cervical and breast cancer screening using the automated and NP–augmented strategies of the P-PROMPT reminder and recall system. Setting Southwestern Ontario. Participants A total of 232 physicians from 24 primary care network or family health network groups across 110 different sites eligible for pay-for-performance incentives. Interventions The P-PROMPT project combined pay-for-performance incentives with provider and patient reminders and deployment of NPs to enhance the delivery of preventive care services. Main outcome measures The mean delivery rates at the practice level of time-appropriate mammograms and Papanicolaou tests completed within the previous 30 months. Results Before-and-after comparisons of time-appropriate delivery rates (< 30 months) of cancer screening showed the rates of Pap tests and mammograms for eligible women significantly increased over a 1-year period by 6.3% (P < .001) and 5.3% (P < .001), respectively. The NP-augmented strategy achieved comparable rate increases to the automated strategy alone in the delivery rates of both services. Conclusion The use of provider and patient reminders and pay-for-performance incentives resulted in increases in the uptake of Pap tests and mammograms among eligible primary care patients over a 1-year period in family practices in Ontario. PMID:23766067

  18. A comparison study of textural features between FFDM and film mammogram images

    NASA Astrophysics Data System (ADS)

    Jing, Hao; Yang, Yongyi; Wernick, Miles N.; Yarusso, Laura M.; Nishikawa, Robert M.

    2011-03-01

    In this work, we conducted an imaging study to make a direct, quantitative comparison of image features measured by film and full-field digital mammography (FFDM). We acquired images of cadaver breast specimens containing simulated microcalcifications using both a GE digital mammography system and a screen-film system. To quantify the image features, we calculated and compared a set of 12 texture features derived from spatial gray-level dependence matrices. Our results demonstrate that there is a great degree of agreement between film and FFDM, with the correlation coefficient of the feature vector (formed by the 12 textural features) being 0.9569 between the two; in addition, a paired sign test reveals no significant difference between film and FFDM features. These results indicate that textural features may be interchangeable between film and FFDM for CAD algorithms.

  19. Can computer-aided diagnosis (CAD) help radiologists find mammographically missed screening cancers?

    NASA Astrophysics Data System (ADS)

    Nishikawa, Robert M.; Giger, Maryellen L.; Schmidt, Robert A.; Papaioannou, John

    2001-06-01

    We present data from a pilot observer study whose goal is design a study to test the hypothesis that computer-aided diagnosis (CAD) can improve radiologists' performance in reading screening mammograms. In a prospective evaluation of our computer detection schemes, we have analyzed over 12,000 clinical exams. Retrospective review of the negative screening mammograms for all cancer cases found an indication of the cancer in 23 of these negative cases. The computer found 54% of these in our prospective testing. We added to these cases normal exams to create a dataset of 75 cases. Four radiologists experienced in mammography read the cases and gave their BI-RADS assessment and their confidence that the patient should be called back for diagnostic mammography. They did so once reading the films only and a second time reading with the computer aid. Three radiologists had no change in area under the ROC curve (mean Az of 0.73) and one improved from 0.73 to 0.78, but this difference failed to reach statistical significance (p equals 0.23). These data are being used to plan a larger more powerful study.

  20. Breast cancer characteristics associated with digital versus screen-film mammography for screen-detected and interval cancers

    PubMed Central

    Miglioretti, Diana L.; Kerlikowske, Karla; Wernli, Karen J.; Sprague, Brian L.; Lehman, Constance M.

    2015-01-01

    Purpose To determine if pathologic findings of screen-detected and interval cancers differ for digital versus film mammography. Materials and Methods This study was institutional review board approved and HIPAA compliant. Using 2003–2011 Breast Cancer Surveillance Consortium data, we included 3,021,515 screening mammograms (40.3% digital and 59.7% film) for women ages 40 to 89 years. Cancers were considered screen-detected if diagnosed within 12 months of a positive examination and interval if diagnosed within 12 months of a negative examination. Tumor characteristics for screen-detected and interval cancers were compared for digital versus film mammography using logistic regression models to estimate the odds ratio (OR) and 95% confidence interval (95%CI), adjusting for age, race/ethnicity, hormone therapy use, screening interval, examination year, and registry while accounting for correlation within facilities using generalized estimating equations. Results Among 15,729 breast cancers, 85.3% were screen-detected and 14.7% were interval. Digital and film mammography had similar rates of screen-detected (4.47 vs. 4.42 per 1000 examinations) and interval cancers (0.73 vs. 0.79 per 1000 examinations) for digital versus film, respectively. In adjusted analyses, interval cancers following a negative digital examination were less likely to be AJCC stage IIB or higher (OR=0.69, 95%CI:0.52–0.93), have positive nodal status (OR=0.78, 95%CI:0.64–0.95), or be estrogen receptor-negative (OR=0.71, 95%CI:0.56–0.91) compared with interval cancers following a negative film examination. Conclusions Screen-detected cancers following digital and film mammography had similar rates of unfavorable tumor characteristics. Interval-detected cancers after a digital examination were less likely to have unfavorable tumor features than those diagnosed after film, but absolute differences were small. PMID:26295657

  1. Characterization of architectural distortion on mammograms using a linear energy detector

    NASA Astrophysics Data System (ADS)

    Alvarez, Jorge; Narváez, Fabián.; Poveda, César; Romero, Eduardo

    2013-11-01

    Architectural distortion is a breast cancer sign, characterized by spiculated patterns that define the disease malignancy level. In this paper, the radial spiculae of a typical architectural distortion were characterized by a new strategy. Firstly, previously selected Regions of Interest are divided into a set of parallel and disjoint bands (4 pixels the ROI length), from which intensity integrals (coefficients) are calculated. This partition is rotated every two degrees, searching in the phase plane the characteristic radial spiculation. Then, these coefficients are used to construct a fully connected graph whose edges correspond to the integral values or coefficients and the nodes to x and y image positions. A centrality measure like the first eigenvector is used to extract a set of discriminant coefficients that represent the locations with higher linear energy. Finally, the approach is trained using a set of 24 Regions of Interest obtained from the MIAS database, namely, 12 Architectural Distortions and 12 controls. The first eigenvector is then used as input to a conventional Support Vector Machine classifier whose optimal parameters were obtained by a leave-one-out cross validation. The whole method was assessed in a set of 12 RoIs with different distribution of breast tissues (normal and abnormal), and the classification results were compared against a ground truth, already provided by the data base, showing a precision rate of 0.583%, a sensitivity rate of 0.833% and a specificity rate of 0.333%.

  2. Psychophysical similarity measure based on multi-dimensional scaling for retrieval of similar images of breast masses on mammograms

    NASA Astrophysics Data System (ADS)

    Nishimura, Kohei; Muramatsu, Chisako; Oiwa, Mikinao; Shiraiwa, Misaki; Endo, Tokiko; Doi, Kunio; Fujita, Hiroshi

    2013-02-01

    For retrieving reference images which may be useful to radiologists in their diagnosis, it is necessary to determine a reliable similarity measure which would agree with radiologists' subjective impression. In this study, we propose a new similarity measure for retrieval of similar images, which may assist radiologists in the distinction between benign and malignant masses on mammograms, and investigated its usefulness. In our previous study, to take into account the subjective impression, the psychophysical similarity measure was determined by use of an artificial neural network (ANN), which was employed to learn the relationship between radiologists' subjective similarity ratings and image features. In this study, we propose a psychophysical similarity measure based on multi-dimensional scaling (MDS) in order to improve the accuracy in retrieval of similar images. Twenty-seven images of masses, 3 each from 9 different pathologic groups, were selected, and the subjective similarity ratings for all possible 351 pairs were determined by 8 expert physicians. MDS was applied using the average subjective ratings, and the relationship between each output axis and image features was modeled by the ANN. The MDS-based psychophysical measures were determined by the distance in the modeled space. With a leave-one-out test method, the conventional psychophysical similarity measure was moderately correlated with subjective similarity ratings (r=0.68), whereas the psychophysical measure based on MDS was highly correlated (r=0.81). The result indicates that a psychophysical similarity measure based on MDS would be useful in the retrieval of similar images.

  3. Effect of radiologists' variability on the performance of computer classification of malignant and benign clustered microcalcifications in mammograms

    NASA Astrophysics Data System (ADS)

    Jiang, Yulei; Salfity, M. F.; Chen, Vicky; Nishikawa, Robert M.; Papaioannou, John; Edwards, Alexandra V.; Paquerault, Sophie

    2003-05-01

    In developing a computer technique to classify clustered microcalcifications as malignant or benign, we previously indicated manually the location of all individual calcifications to the computer and found the computer to be more accurate than radiologists. In this study, we investigate whether radiologists can be asked to provide minimal input to the computer and obtain consistent computer classification results. Radiologists were instructed to draw a rectangle that enclosed all calcifications, and indicate the approximate number of the calcifications (either <6, 6-10, 10-30, or >30). The computer used these two pieces of information to detect the individual calcifications and, subsequently, to classify the calcifications as malignant or benign based on only those calcifications detected by the computer. We showed at the 2002 RSNA conference 18 cases together with standard and magnification view mammograms to 38 self-reported breast-imaging radiologists (12 of whom read all 18 cases). The standard deviation in the location of their rectangles (averaged over all cases) was approximately 3 mm, the standard deviation in the linear dimension of the rectangles was 6 mm, and the standard deviation in the computer-estimated likelihood of malignancy was 17%. These results indicate that radiologists are able to provide consistent input to the computer, which in turn produces reasonably consistent computer classification results.

  4. Early breast cancer detection with digital mammograms using Haar-like features and AdaBoost algorithm

    NASA Astrophysics Data System (ADS)

    Zheng, Yufeng; Yang, Clifford; Merkulov, Alex; Bandari, Malavika

    2016-05-01

    The current computer-aided detection (CAD) methods are not sufficiently accurate in detecting masses, especially in dense breasts and/or small masses (typically at their early stages). A small mass may not be perceived when it is small and/or homogeneous with surrounding tissues. Possible reasons for the limited performance of existing CAD methods are lack of multiscale analysis and unification of variant masses. The speed of CAD analysis is important for field applications. We propose a new CAD model for mass detection, which extracts simple Haar-like features for fast detection, uses AdaBoost approach for feature selection and classifier training, applies cascading classifiers for reduction of false positives, and utilizes multiscale detection for variant sizes of masses. In addition to Haar features, local binary pattern (LBP) and histograms of oriented gradient (HOG) are extracted and applied to mass detection. The performance of a CAD system can be measured with true positive rate (TPR) and false positives per image (FPI). We are collecting our own digital mammograms for the proposed research. The proposed CAD model will be initially demonstrated with mass detection including architecture distortion.

  5. Mammography and Pap test screening among low-income foreign-born Hispanic women in USA.

    PubMed

    Fernández, M A; Tortolero-Luna, G; Gold, R S

    1998-01-01

    Little is known about the factors influencing screening among low-income Hispanic women particularly among recent immigrants. A sample of 148 low-income, low-literate, foreign-born Hispanic women residing in the Washington DC metropolitan area participated in the study. The mean age of the sample was 46.2 (SD=11.5), 84% reported annual household incomes ($15,000. All women were Spanish speakers and had low acculturation levels. Ninety six percent had reported having a Pap smear, but 24% were not in compliance with recommended screening (Pap test within the last 3 years). Among women 40 and older, 62% had received a mammogram, but only 33% were compliant with age appropriate recommended mammography screening guidelines. Women in this study had more misconceptions about cancer than Hispanics in other studies. Multivariate logistic models for correlates of Pap test and mammography screening behavior indicate that factors such as fear of the screening test, embarrassment, and lack of knowledge influenced screening behavior. In conclusion, women in this study had lower rates of mammography screening than non-Hispanic women and lower rates of compliance with recommended Mammography and Pap test screening guidelines.

  6. Strategies for Increasing Mammography Screening in Primary Care in Chile: Results of a Randomized Clinical Trial

    PubMed Central

    Püschel, Klaus; Coronado, Gloria; Soto, Gabriela; Gonzalez, Karla; Martinez, Javiera; Holte, Sarah; Thompson, Beti

    2010-01-01

    Background Breast cancer is the cancer with the highest incidence among women in Chile and in many Latin American countries. Breast cancer screening has very low compliance among Chilean women. Methods We compare the effects on mammography screening rates of standard care, of a low intensity intervention based on mail contact, and of a high intensity intervention based on mail plus telephone or personal contact. A random sample of 500 women 50 to 70 years registered at a community clinic in Santiago who had not had a mammogram in the past two years were randomly assigned to one of the three intervention groups. Six months after randomization, participants were re-evaluated for their compliance with mammography screening. The outcome was measured by self report and by electronic clinical records. An intention to treat model was used to analyze the results. Results Between 92% and 93% of participants completed the study. Based on electronic records, mammography screening rates increased significantly from 6% in the control group to 51.8% in the low intensity group, and 70.1% in the high intensity group. About 14% of participants in each group received opportunistic advice, 100% of participants in the low and high intensity groups received the mail contact, and 50% in the high intensity group received a telephone or personal contact. Conclusion A primary care intervention based on mail or brief personal contact could significantly improve mammogram screening rates. Impact A relatively simple intervention could have a strong impact in breast cancer prevention in underserved communities. PMID:20826832

  7. [Transient abnormal Q-waves].

    PubMed

    Godballe, C; Hoeck, H C; Sørensen, J A

    1990-01-01

    We present a case of transient abnormal Q-waves (TAQ) and a review of the literature. TAQ are defined as abnormal Q-waves, which disappear within ten days. They are most often seen in patients with ischemic heart disease (IHD) but are also seen in other conditions. Brief episodes of myocardial ischemia giving rise to reversible biochemical and ultrastructural myocardial changes, resulting in transient ECG changes, provide an accepted theory for the pathogenesis of TAO. Investigations have shown that the occurrence of exercise-induced TAQ may be a symptom of IHD. It is impossible to distinguish TAQ from Q-waves induced by myocardial infarction. Appearance of TAQ during exercise-testing frequently indicates IHD. PMID:2301045

  8. [Chromosome abnormalities in human cancer].

    PubMed

    Salamanca-Gómez, F

    1995-01-01

    Recent investigation on the presence of chromosome abnormalities in neoplasias has allowed outstanding advances in the knowledge of malignant transformation mechanisms and important applications in the clinical diagnosis and prognosis of leukaemias, lymphomas and solid tumors. The purpose of the present paper is to discuss the most relevant cytogenetic aberrations, some of them described at the Unidad de Investigación Médica en Genética Humana, Instituto Mexicano del Seguro Social, and to correlate these abnormalities with recent achievements in the knowledge of oncogenes, suppressor genes or antioncogenes, their chromosome localization, and their mutations in human neoplasia; as well as their perspectives in prevention and treatment of cancer that such findings permit to anticipate.

  9. [Endocrine abnormalities in HIV infections].

    PubMed

    Verges, B; Chavanet, P; Desgres, J; Kisterman, J P; Waldner, A; Vaillant, G; Portier, H; Brun, J M; Putelat, R

    The finding of endocrine gland lesions at pathological examination in AIDS and reports of several cases of endocrine disease in patients with this syndrome have prompted us to study endocrine functions in 63 patients (51 men, 12 women) with HIV-1 infection. According to the Center for Disease Control (CDC) classification system, 13 of these patients were stage CDC II, 27 stage CDC III and 23 stage CDC IV. We explored the adrenocortical function (ACTH, immediate tetracosactrin test) and the thyroid function (free T3 and T4 levels, TRH on TSH test) in all 63 patients. The hypothalamic-pituitary-gonadal axis (testosterone levels, LHRH test) and prolactin secretion (THR test) were explored in the 51 men. The results obtained showed early peripheral testicular insufficiency at stage CDC II and early pituitary gland abnormalities with hypersecretion of ACTH and prolactin also at stage CDC II. On the other hand, adrenocortical and pituitary abnormalities were not frequently found. The physiopathology of the endocrine abnormalities observed in HIV-1-infected patients remains unclear, but one may suspect that it involves interleukin-1 since this protein factor has recently been shown to stimulate the corticotropin-releasing hormone secretion and to act directly on the glycoprotein capsule of the virus (gp 120) whose structure is similar to that of some neurohormones.

  10. Testing the Performances of Different Image Representations for Mass Classification in Digital Mammograms

    NASA Astrophysics Data System (ADS)

    Angelini, E.; Campanini, R.; Iampieri, E.; Lanconelli, N.; Masotti, M.; Roffilli, M.

    The classification of tumoral masses and normal breast tissue is targeted. A mass detection algorithm which does not refer explicitly to shape, border, size, contrast or texture of mammographic suspicious regions is evaluated. In the present approach, classification features are embodied by the image representation used to encode suspicious regions. Classification is performed by means of a support vector machine (SVM) classifier. To investigate whether improvements can be achieved with respect to a previously proposed overcomplete wavelet image representation, a pixel and a discrete wavelet image representations are developed and tested. Evaluation is performed by extracting 6000 suspicious regions from the digital database for screening mammography (DDSM) collected by the University of South Florida (USF). More specifically, 1000 regions representing biopsy-proven tumoral masses (either benign or malignant) and 5000 regions representing normal breast tissue are extracted. Results demonstrate very high performance levels. The area Az under the receiver operating characteristic (ROC) curve reaches values of 0.973 ± 0.002, 0.948 ± 0.004 and 0.956 ± 0.003 for the pixel, discrete wavelet and overcomplete wavelet image representations, respectively. In particular, the improvement in the Az value with the pixel image representation is statistically significant compared to that obtained with the discrete wavelet and overcomplete wavelet image representations (two-tailed p-value < 0.0001). Additionally, 90% true positive fraction (TPF) values are achieved with false positive fraction (FPF) values of 6%, 11% and 7%, respectively.

  11. Classification of breast masses in mammograms using genetic programming and feature selection.

    PubMed

    Nandi, R J; Nandi, A K; Rangayyan, R M; Scutt, D

    2006-08-01

    Mammography is a widely used screening tool and is the gold standard for the early detection of breast cancer. The classification of breast masses into the benign and malignant categories is an important problem in the area of computer-aided diagnosis of breast cancer. A small dataset of 57 breast mass images, each with 22 features computed, was used in this investigation; the same dataset has been previously used in other studies. The extracted features relate to edge-sharpness, shape, and texture. The novelty of this paper is the adaptation and application of the classification technique called genetic programming (GP), which possesses feature selection implicitly. To refine the pool of features available to the GP classifier, we used feature-selection methods, including the introduction of three statistical measures--Student's t test, Kolmogorov-Smirnov test, and Kullback-Leibler divergence. Both the training and test accuracies obtained were high: above 99.5% for training and typically above 98% for test experiments. A leave-one-out experiment showed 97.3% success in the classification of benign masses and 95.0% success in the classification of malignant tumors. A shape feature known as fractional concavity was found to be the most important among those tested, since it was automatically selected by the GP classifier in almost every experiment.

  12. Screening for cancer

    SciTech Connect

    Miller, A.B.

    1985-01-01

    This book contains three sections: Fundamentals of Screening, Screening Tests, and Screening for Specific Cancer Sites. Each section consists of several chapters. Some of the chapter titles are: Principles of Screening and of the Evaluation of Screening Programs; Economic Aspects of Screening; Cervical Cytology; Screening Tests for Bladder Cancer; Fecal Occult Blood Testing; Screening for Cancer of the Cervix; Screening for Gastric Cancer; and Screening for Oral Cancer.

  13. Disposition of sperm donors with resultant abnormal pregnancies.

    PubMed

    Kuller, J A; Meyer, W R; Traynor, K D; Hartmann, K E

    2001-08-01

    We wished to determine how clinicians manage sperm donors whose offspring have chromosomal or structural abnormalities. A directed, multiple-choice survey was given to reproductive endocrinologists and obstetrical geneticists to assess management of sperm donors whose offspring have chromosomal or structural abnormalities. The questionnaire was completed by 66 reproductive endocrinologists and obstetrical geneticists. Abnormalities and the most common inheritance modes included: Trisomy 21 (aneuploidy, maternal origin), Turner syndrome (aneuploidy, paternal origin), cleft lip/palate (multifactorial), VATER sequence (vertebral defects, imperforate anus, tracheo-esophageal fistula, radial and renal dysplasia, sporadic inheritance), and Hurler syndrome (autosomal recessive). Response choices were: (i) remove donor from programme, (ii) inform potential recipients of prior pregnancy outcomes and continue to use donor, or (iii) further study donor to assess karyotype/mutations. Inheritance mode appeared to influence decisions to remove donors from sperm banks; however, no clear consensus was noted. Guidelines exist for screening potential gamete donors, but not for managing donors whose offspring has a chromosomal or structural abnormality. Guidelines must be developed to manage sperm donors with untoward pregnancy outcomes. PMID:11473942

  14. Liver abnormalities in connective tissue diseases.

    PubMed

    De Santis, Maria; Crotti, Chiara; Selmi, Carlo

    2013-08-01

    The liver is a lymphoid organ involved in the immune response and in the maintenance of tolerance to self molecules, but it is also a target of autoimmune reactions, as observed in primary liver autoimmune diseases (AILD) such as autoimmune hepatitis, primary biliary cirrhosis, and primary sclerosing cholangitis. Further, the liver is frequently involved in connective tissue diseases (CTD), most commonly in the form of liver function test biochemical changes with predominant cholestatic or hepatocellular patterns. CTD commonly affecting the liver include systemic lupus erythematosus, antiphospholypid syndrome, primary Sjögren's syndrome, systemic sclerosis, dermatomyositis, polimyositis, and anti-synthetase syndrome, while overlap syndromes between AILD and CTD may also be diagnosed. Although liver cirrhosis and failure are extremely rare in patients with CTD, unusual liver conditions such as nodular regenerative hyperplasia or Budd-Chiari syndrome have been reported with increasing frequency in patients with CTD. Acute or progressing liver involvement is generally related to viral hepatitis reactivation or to a concomitant AILD, so it appears to be fundamental to screen patients for HBV and HCV infection, in order to provide the ideal therapeutic regimen and avoid life-threatening reactivations. Finally, it is important to remember that the main cause of biochemical liver abnormalities in patients with CTD is a drug-induced alteration or coexisting viral hepatitis. The present article will provide a general overview of the liver involvement in CTD to allow rheumatologists to discriminate the most common clinical scenarios.

  15. Imaging findings in fetal diaphragmatic abnormalities.

    PubMed

    Alamo, Leonor; Gudinchet, François; Meuli, Reto

    2015-12-01

    Imaging plays a key role in the detection of a diaphragmatic pathology in utero. US is the screening method, but MRI is increasingly performed. Congenital diaphragmatic hernia is by far the most often diagnosed diaphragmatic pathology, but unilateral or bilateral eventration or paralysis can also be identified. Extralobar pulmonary sequestration can be located in the diaphragm and, exceptionally, diaphragmatic tumors or secondary infiltration of the diaphragm from tumors originating from an adjacent organ have been observed in utero. Congenital abnormalities of the diaphragm impair normal lung development. Prenatal imaging provides a detailed anatomical evaluation of the fetus and allows volumetric lung measurements. The comparison of these data with those from normal fetuses at the same gestational age provides information about the severity of pulmonary hypoplasia and improves predictions about the fetus's outcome. This information can help doctors and families to make decisions about management during pregnancy and after birth. We describe a wide spectrum of congenital pathologies of the diaphragm and analyze their embryological basis. Moreover, we describe their prenatal imaging findings with emphasis on MR studies, discuss their differential diagnosis and evaluate the limits of imaging methods in predicting postnatal outcome. PMID:26255159

  16. Salivary abnormalities in Prader-Willi Syndrome

    SciTech Connect

    Hart, S.; Poshva, C.

    1994-09-01

    Although abnormal saliva is a well documented finding in PWS, little is known about the saliva in these individuals. We have recently undertaken a study to characterize the salivary composition from PW patients and to see if there is any correlation with their underlying molecular diagnosis (deletion vs. disomy). We have collected whole saliva on 3 patients; 2 had normal high-resolution karyotype analysis (Cases 1 & 3) and 1 had a deletion of 15q11q13 (Case 3). For all parameters, Case 3`s values were notably different from those of his unaffected sibling. The salivary flow rates and concentrations for all 3 PW patients are similar and are significantly different from normal controls (mean {plus_minus} SE) (p<0.05). Although this data is from only 3 PW patients, it provides valuable information. First, decreased flow appears to be due to an effect of PWS and not medications since Cases 2 & 3 are not on any medications. Second, decreased flow appears to be present in younger as well as older individuals. Third, deviations from normal in the salivary composition are evident. It is possible that these alterations are concentration effects relative to a decrease in flow rate. We are currently obtaining saliva from more PW individuals to see if these alterations are present in all PW patients and whether they can be applied as a screening test.

  17. Hearing Screening

    ERIC Educational Resources Information Center

    Johnson-Curiskis, Nanette

    2012-01-01

    Hearing levels are threatened by modern life--headsets for music, rock concerts, traffic noises, etc. It is crucial we know our hearing levels so that we can draw attention to potential problems. This exercise requires that students receive a hearing screening for their benefit as well as for making the connection of hearing to listening.

  18. Comparison of breast percent density estimation from raw versus processed digital mammograms

    NASA Astrophysics Data System (ADS)

    Li, Diane; Gavenonis, Sara; Conant, Emily; Kontos, Despina

    2011-03-01

    We compared breast percent density (PD%) measures obtained from raw and post-processed digital mammographic (DM) images. Bilateral raw and post-processed medio-lateral oblique (MLO) images from 81 screening studies were retrospectively analyzed. Image acquisition was performed with a GE Healthcare DS full-field DM system. Image post-processing was performed using the PremiumViewTM algorithm (GE Healthcare). Area-based breast PD% was estimated by a radiologist using a semi-automated image thresholding technique (Cumulus, Univ. Toronto). Comparison of breast PD% between raw and post-processed DM images was performed using the Pearson correlation (r), linear regression, and Student's t-test. Intra-reader variability was assessed with a repeat read on the same data-set. Our results show that breast PD% measurements from raw and post-processed DM images have a high correlation (r=0.98, R2=0.95, p<0.001). Paired t-test comparison of breast PD% between the raw and the post-processed images showed a statistically significant difference equal to 1.2% (p = 0.006). Our results suggest that the relatively small magnitude of the absolute difference in PD% between raw and post-processed DM images is unlikely to be clinically significant in breast cancer risk stratification. Therefore, it may be feasible to use post-processed DM images for breast PD% estimation in clinical settings. Since most breast imaging clinics routinely use and store only the post-processed DM images, breast PD% estimation from post-processed data may accelerate the integration of breast density in breast cancer risk assessment models used in clinical practice.

  19. Receiver operating characteristic analysis for the detection of simulated microcalcifications on mammograms using hardcopy images

    NASA Astrophysics Data System (ADS)

    Lai, Chao-Jen; Shaw, Chris C.; Whitman, Gary J.; Yang, Wei T.; Dempsey, Peter J.; Nguyen, Victoria; Ice, Mary F.

    2006-08-01

    The aim of this study was to compare mammography systems based on three different detectors—a conventional screen-film (SF) combination, an a-Si/CsI flat-panel (FP)-based detector, and a charge-coupled device (CCD)-based x-ray phosphor-based detector—for their performance in detecting simulated microcalcifications (MCs). 112-150 µm calcium carbonate grains were used to simulate MCs and were overlapped with a slab phantom of simulated 50% adipose/50% glandular breast tissue-equivalent material referred to as the uniform background. For the tissue structure background, 200-250 µm calcium carbonate grains were used and overlapped with an anthropomorphic breast phantom. All MC phantom images were acquired with and without magnification (1.8X). The hardcopy images were reviewed by five mammographers. A five-point confidence level rating was used to score each detection task. Receiver operating characteristic (ROC) analysis was performed, and the areas under the ROC curves (Azs) were used to compare the performances of the three mammography systems under various conditions. The results showed that, with a uniform background and contact images, the FP-based system performed significantly better than the SF and the CCD-based systems. For magnified images with a uniform background, the SF and the FP-based systems performed equally well and significantly better than the CCD-based system. With tissue structure background and contact images, the SF system performed significantly better than the FP and the CCD-based systems. With magnified images and a tissue structure background, the SF and the CCD-based systems performed equally well and significantly better than the FP-based system. In the detection of MCs in the fibroglandular and the heterogeneously dense regions, no significant differences were found except that the SF system performed significantly better than the CCD-based system in the fibroglandular regions for the contact images.

  20. The Effect of Couples Intervention to Increase Breast Cancer Screening Among Korean Americans

    PubMed Central

    Lee, Eunice; Menon, Usha; Nandy, Karabi; Szalacha, Laura; Kviz, Frederick; Cho, Young; Miller, Arlene; Park, Hanjong

    2014-01-01

    Purpose/Objectives To assess the efficacy of Korean Immigrants and Mammography—Culture-Specific Health Intervention (KIM-CHI), an educational program for Korean American (KA) couples designed to improve mammography uptake among KA women. Design A two-group cluster randomized, longitudinal, controlled design. Setting 50 KA religious organizations in the Chicago area. Sample 428 married KA women 40 years of age or older who had not had a mammogram in the past year. The women and their husbands were recruited from 50 KA religious organizations. Methods Couples were randomly assigned to intervention or attention control groups. Those in the KIM-CHI program (n = 211 couples) were compared to an attention control group (n = 217 couples) at baseline, as well as at 6 and 15 months postintervention on mammogram uptake. Main Research Variables Sociodemographic variables and mammography uptake were measured. Level of acculturation was measured using the Suinn-Lew Asian Self-Identity Acculturation Scale. Researchers asked questions about healthcare resources and use, health insurance status, usual source of care, physical examinations in the past two years, family history of breast cancer, and history of mammography. Findings The KIM-CHI group showed statistically significant increases in mammography uptake compared to the attention control group at 6 months and 15 months postintervention. Conclusions The culturally targeted KIM-CHI program was effective in increasing mammogram uptake among nonadherent KA women. Implications for Nursing Nurses and healthcare providers should consider specific health beliefs as well as inclusion of husbands or significant others. They also should target education to be culturally relevant for KA women to effectively improve frequency of breast cancer screening. PMID:24769601

  1. The interplay of attention economics and computer-aided detection marks in screening mammography

    NASA Astrophysics Data System (ADS)

    Schwartz, Tayler M.; Sridharan, Radhika; Wei, Wei; Lukyanchenko, Olga; Geiser, William; Whitman, Gary J.; Haygood, Tamara Miner

    2016-03-01

    Introduction: According to attention economists, overabundant information leads to decreased attention for individual pieces of information. Computer-aided detection (CAD) alerts radiologists to findings potentially associated with breast cancer but is notorious for creating an abundance of false-positive marks. We suspected that increased CAD marks do not lengthen mammogram interpretation time, as radiologists will selectively disregard these marks when present in larger numbers. We explore the relevance of attention economics in mammography by examining how the number of CAD marks affects interpretation time. Methods: We performed a retrospective review of bilateral digital screening mammograms obtained between January 1, 2011 and February 28, 2014, using only weekend interpretations to decrease distractions and the likelihood of trainee participation. We stratified data according to reader and used ANOVA to assess the relationship between number of CAD marks and interpretation time. Results: Ten radiologists, with median experience after residency of 12.5 years (range 6 to 24,) interpreted 1849 mammograms. When accounting for number of images, Breast Imaging Reporting and Data System category, and breast density, increasing numbers of CAD marks was correlated with longer interpretation time only for the three radiologists with the fewest years of experience (median 7 years.) Conclusion: For the 7 most experienced readers, increasing CAD marks did not lengthen interpretation time. We surmise that as CAD marks increase, the attention given to individual marks decreases. Experienced radiologists may rapidly dismiss larger numbers of CAD marks as false-positive, having learned that devoting extra attention to such marks does not improve clinical detection.

  2. Access to Mammography Facilities and Detection of Breast Cancer by Screening Mammography: A GIS Approach.

    PubMed

    Rahman, Selina; Price, James H; Dignan, Mark; Rahman, Saleh; Lindquist, Peter S; Jordan, Timothy R

    2009-01-01

    OBJECTIVES: The objective of the study was to examine the association between access to mammography facilities and utilization of screening mammography in an urban population. METHODS: Data on female breast cancer cases were obtained from an extensive mammography surveillance project. Distance to mammography facilities was measured by using GIS, which was followed by measuring geographical access to mammography facilities using Floating Catchment Area (FCA) method (considering all available facilities within an arbitrary radius from the woman's residence by using Arc GIS 9.0 software). RESULTS: Of 2,024 women, 91.4% were Caucasian; age ranged from 25 to 98 years; most (95%) were non-Hispanic in origin. Logistic regression found age, family history, hormone replacement therapy, physician recommendation, and breast cancer stage at diagnosis to be significant predictors of having had a previous mammogram. Women having higher access to mammography facilities were less likely to have had a previous mammogram compared to women who had low access, considering all the facilities within 10 miles (OR=0.41, CI=0.22-0.76), 30 miles (OR=0.52, CI=0.29-0.91) and 40 miles (OR=0.51, CI=0.28-0.92) radiuses. CONCLUSIONS: Physical distance to mammography facilities does not necessarily predict utilization of mammogram and greater access does not assure greater utilizations, due to constraints imposed by socio economic and cultural barriers. Future studies should focus on measuring access to mammography facilities capturing a broader dimension of access considering qualitative aspect of facilities, as well as other travel impedances. PMID:20628557

  3. Breast cancer screening: emerging role of new imaging techniques as adjuncts to mammography.

    PubMed

    Houssami, Nehmat; Lord, Sarah J; Ciatto, Stefano

    2009-05-01

    Early detection of breast cancer has been shown to reduce breast cancer deaths in randomised controlled trials (RCTs) of mammography in women aged 50-69 years, with weaker evidence of benefit in those aged 40-49 or 70 years and older. Magnetic resonance imaging (MRI) and ultrasonography have been evaluated in breast cancer screening, relative to, or in addition to, mammography, in selected populations; neither test has been examined in an RCT, and thus evidence of associated screening benefit is uncertain. MRI is more sensitive than mammography in screening women with suspected or proven inherited mutations of the breast cancer genes. The addition of MRI in screening this population detects 8-24 additional cancers per 1000 screens, but also significantly increases a woman's risk of being recalled for investigation or surgical biopsy for false-positive findings. In Australia, Medicare funding for MRI screening of women in specific risk groups was announced in February 2009. Ultrasonography can detect cancers not identified on mammography in asymptomatic women with dense breast tissue. Incremental ultrasound cancer detection is reported in 0.27%-0.46% of women with mammography-negative dense breasts; evidence varies on its association with false-positive findings. Computer-aided detection (CAD) is a complementary tool to mammography, prompting the reader to consider lesions on the mammogram that may represent cancer. Emerging evidence and improved CAD technology are likely to help define its role in breast screening. PMID:19413520

  4. Pilot test of a peer-led small-group video intervention to promote mammography screening among Chinese American immigrants.

    PubMed

    Maxwell, Annette E; Wang, Judy H; Young, Lucy; Crespi, Catherine M; Mistry, Ritesh; Sudan, Madhuri; Bastani, Roshan

    2011-11-01

    This study evaluated the feasibility, acceptability, and potential effect of a small-group video intervention led by trained Chinese American lay educators who recruited Chinese American women not up to date on mammography screening. Nine lay educators conducted 14 Breast Health Tea Time Workshops in community settings and private homes that started with watching a culturally tailored video promoting screening followed by a question-and-answer session and distribution of print materials. Many group attendees did not have health insurance or a regular doctor, had low levels of income, and were not proficient in English. Forty-four percent of the attendees reported receipt of a mammogram within 6 months after the small-group session, with higher odds of screening among women who had lived in the United States less than 10% of their lifetime. Four of the educators were very interested in conducting another group session in the next 6 months.

  5. Making chromosome abnormalities treatable conditions.

    PubMed

    Cody, Jannine DeMars; Hale, Daniel Esten

    2015-09-01

    Individuals affected by the classic chromosome deletion syndromes which were first identified at the beginning of the genetic age, are now positioned to benefit from genomic advances. This issue highlights five of these conditions (4p-, 5p-, 11q-, 18p-, and 18q-). It focuses on the increased in understanding of the molecular underpinnings and envisions how these can be transformed into effective treatments. While it is scientifically exciting to see the phenotypic manifestations of hemizygosity being increasingly understood at the molecular and cellular level, it is even more amazing to consider that we are now on the road to making chromosome abnormalities treatable conditions.

  6. [Erythrocyte membrane abnormalities - hereditary elliptocytosis].

    PubMed

    Kvezereli-Kopadze, M; Kvezereli-Kopadze, A; Mtvarelidze, Z; Bubuteishvili, A

    2015-04-01

    This study was designed to investigate the 4 year old boy with Hereditary Elliptocitosis (HE). The diagnosis of this rare hemolytic anemia was based on detailed family history (positive in the 4-th generation), physical examination and Para-clinical data analyses. The vast majority of patients with HE are asymptomatic, severe forms are rare. The most important is examination of blood films, which is helpful to detect the morphology abnormalities of red cells. In case of HE a different approach is required. Positive family history and series of investigations should be conducted to determine the HE.

  7. Abnormalities of the erythrocyte membrane.

    PubMed

    Gallagher, Patrick G

    2013-12-01

    Primary abnormalities of the erythrocyte membrane are characterized by clinical, laboratory, and genetic heterogeneity. Among this group, hereditary spherocytosis patients are more likely to experience symptomatic anemia. Treatment of hereditary spherocytosis with splenectomy is curative in most patients. Growing recognition of the long-term risks of splenectomy has led to re-evaluation of the role of splenectomy. Management guidelines acknowledge these considerations and recommend discussion between health care providers, patient, and family. The hereditary elliptocytosis syndromes are the most common primary disorders of erythrocyte membrane proteins. However, most elliptocytosis patients are asymptomatic and do not require therapy.

  8. Foot abnormalities of wild birds

    USGS Publications Warehouse

    Herman, C.M.; Locke, L.N.; Clark, G.M.

    1962-01-01

    The various foot abnormalities that occur in birds, including pox, scaly-leg, bumble-foot, ergotism and freezing are reviewed. In addition, our findings at the Patuxent Wildlife Research Center include pox from dove, mockingbird, cowbird, grackle and several species of sparrows. Scaly-leg has been particularly prevalent on icterids. Bumble foot has been observed in a whistling swan and in a group of captive woodcock. Ergotism is reported from a series of captive Canada geese from North Dakota. Several drug treatments recommended by others are presented.

  9. Consequences of digital mammography in population-based breast cancer screening: initial changes and long-term impact on referral rates

    PubMed Central

    Karssemeijer, Nico; Beijerinck, David; Deurenberg, Jan J. M.; van Engen, Ruben E.; Broeders, Mireille J. M.; den Heeten, Gerard J.

    2010-01-01

    Objectives: To investigate the referral pattern after the transition to full-field digital mammography (FFDM) in a population-based breast cancer screening programme. Methods: Preceding the nationwide digitalisation of the Dutch screening programme, an FFDM feasibility study was conducted. Detection and referral rates for FFDM and screen-film mammography (SFM) were compared for first and subsequent screens. Furthermore, radiological characteristics of referrals in digital screening were assessed. Results: A total of 312,414 screening mammograms were performed (43,913 digital and 268,501 conventional), with 4,473 consecutive referrals (966 following FFDM). Initially the FFDM referral rate peaked, and many false-positive results were noted as a consequence of pseudolesions and increased detection of (benign) microcalcifications. A higher overall referral rate was observed in FFDM screening in both first and subsequent examinations (p < .001), with a significant increase in cancer detection (p = .010). Conclusion: As a result of initial inexperience with digital screening images implementing FFDM in a population-based breast cancer screening programme may lead to a strong, but temporary increase in referral. Dedicated training in digital screening for radiographers and screening radiologists is therefore recommended. Referral rates decrease and stabilise (learning curve effect) at a higher level than in conventional screening, yet with significantly enhanced cancer detection. PMID:20407901

  10. COLLABORATIVE MODELING OF THE BENEFITS AND HARMS ASSOCIATED WITH DIFFERENT U.S. BREAST CANCER SCREENING STRATEGIES

    PubMed Central

    Mandelblatt, Jeanne S.; Stout, Natasha K.; Schechter, Clyde B.; van den Broek, Jeroen J.; Miglioretti, Diana; Krapcho, Martin; Trentham-Dietz, Amy; Munoz, Diego; Lee, Sandra J.; Berry, Donald A.; van Ravesteyn, Nicolien T.; Alagoz, Oguzhan; Kerlikowske, Karla; Tosteson, Anna N.A.; Near, Aimee M.; Hoeffken, Amanda; Chang, Yaojen; Heijnsdijk, Eveline A.; Chisholm, Gary; Huang, Xuelin; Huang, Hui; Ergun, Mehmet Ali; Gangnon, Ronald; Sprague, Brian L.; Plevritis, Sylvia; Feuer, Eric; de Koning, Harry J.; Cronin, Kathleen A.

    2016-01-01

    Background Controversy persists about optimal mammography screening strategies. Objective To evaluate mammography strategies considering screening and treatment advances. Design Collaboration of six simulation models. Data Sources National data on incidence, risk, breast density, digital mammography performance, treatment effects, and other-cause mortality. Target Population An average-risk cohort. Time Horizon Lifetime. Perspective Societal. Interventions Mammograms from age 40, 45 or 50 to 74 at annual or biennial intervals, or annually from 40 or 45 to 49 then biennially to 74, assuming 100% screening and treatment adherence. Outcome Measures Screening benefits (vs. no screening) include percent breast cancer mortality reduction, deaths averted, and life-years gained. Harms include number of mammograms, false-positives, benign biopsies, and overdiagnosis. Results for Average-Risk Women Biennial strategies maintain 79.8%-81.3% (range across strategies and models: 68.3–98.9%) of annual screening benefits with almost half the false-positives and fewer overdiagnoses. Screening biennially from ages 50–74 achieves a median 25.8% (range: 24.1%-31.8%) breast cancer mortality reduction; annual screening from ages 40–74 years reduces mortality an additional 12.0% (range: 5.7%-17.2%) vs. no screening, but yields 1988 more false-positives and 7 more overdiagnoses per 1000 women screened. Annual screening from ages 50–74 had similar benefits as other strategies but more harms, so would not be recommended. Sub-population Results Annual screening starting at age 40 for women who have a two- to four-fold increase in risk has a similar balance of harms and benefits as biennial screening of average-risk women from 50–74. Limitations We do not consider other imaging technologies, polygenic risk, or non-adherence. Conclusion These results suggest that biennial screening is efficient for average-risk groups, but decisions on strategies depend on the weight given to the

  11. Type II collagen screening in the human chondrodysplasias.

    PubMed

    Horton, W A; Campbell, D; Machado, M A; Chou, J

    1989-12-01

    Abnormalities of type II collagen have been considered strong candidates for causing human condrodysplasias. We have employed peptide mapping to screen for several types of type II colagen abnormalities in cartilage samples from 66 patients with 20 separate disorders. Except for achondrogenesis type II (Langer-Saldino) and spondyloepiphyseal dysplasia (SED) congenita in which abnormalities have been described and diastrophic dysplasia in which the changes were probably secondary, no abnormalities were detected. Within the limitations of the screening technique, the results combined with other data from the literature suggest that abnormalities of this molecule are not common causes of chondrodysplasias outside of the achondrogenesis type II-SED congenita family of disorders. PMID:2624272

  12. Vision Screening

    NASA Technical Reports Server (NTRS)

    1993-01-01

    The Visi Screen OSS-C, marketed by Vision Research Corporation, incorporates image processing technology originally developed by Marshall Space Flight Center. Its advantage in eye screening is speed. Because it requires no response from a subject, it can be used to detect eye problems in very young children. An electronic flash from a 35 millimeter camera sends light into a child's eyes, which is reflected back to the camera lens. The photorefractor then analyzes the retinal reflexes generated and produces an image of the child's eyes, which enables a trained observer to identify any defects. The device is used by pediatricians, day care centers and civic organizations that concentrate on children with special needs.

  13. Medical management of abnormal pregnancy.

    PubMed

    Ratnam, S S; Prasad, R N

    1990-06-01

    Medical termination of abnormal pregnancy requires specific techniques since some conditions make therapy more effective, e.g., missed abortion intrauterine death and molar pregnancy, and others less so, e.g. anencephalic pregnancy. In all cases it is best to terminate the pregnancy as soon as possible to reduce anguish and risks of complications such as consumptive coagulopathy. Oxytocin is not consistently effective, but intraamniotic rivanol has oxytocic properties, and prostaglandins (PGs) are effective by several routes. Surgical methods are more popular in Japan and the US. A diagnostic flow chart is included and described. For missed abortion and fetal death vacuum aspiration or dilatation and evacuation are appropriate for early pregnancy, or PGs are used for later pregnancy, unless there are medical contraindications. Anencephalic pregnancy, usually diagnoses in 2nd or 3rd trimester, is resistant to medical therapy and must often be terminated by cesarean section. Molar pregnancy can be managed with vacuum aspiration at any length of gestation, but must be completed by curettage. Intraamniotic PGs are not advised for mole or fetal death. PG analogs can be administered intramuscularly, or vaginally in gel form. Other types of abnormal pregnancy that can be managed with PGs are spina bifida, hydrocephalus, hydrops fetalis, Dandy-Walker syndrome and Down's syndrome. Tubal pregnancy can be evacuated with intratubally administered PGs under laparoscopic control, thereby preserving tubal integrity. PMID:2225605

  14. Screening for contaminant hotspots in the marine environment of Kuwait using ecotoxicological and chemical screening techniques.

    PubMed

    Smith, A J; McGowan, T; Devlin, M J; Massoud, M S; Al-Enezi, M; Al-Zaidan, A S; Al-Sarawi, H A; Lyons, B P

    2015-11-30

    Kuwait is a country with low rainfall and highly concentrated industrial and domestic effluents entering its coastal waters. These can be both treated and untreated. In this study we sampled a series of coastal and open-sea sites and used a variety of analyses to identify those sites requiring the most attention. We used a high throughput GC-MS screen to look for over 1000 chemicals in the samples. Estrogen and androgen screens assessed the potential to disrupt endocrine activity. An oyster embryo development screen was used to assess biological effect potential. The chemical screen identified sites which had high numbers of identified industrial and domestic chemicals. The oyster screen showed that these sites had also caused high levels of developmental abnormalities with 100% of embryos affected at some sites. The yeast screen showed that estrogenic chemicals were present in outfalls at 2-3 ng/l E2 equivalent, and detectable even in some open water sites. PMID:26478454

  15. ["Facing"--a preliminary parameter in diagnosis of fetal skeletal abnormalities].

    PubMed

    Krause, M; Feige, A

    1993-03-01

    Four cases with abnormalities of foetal faces are demonstrated--thanatophoric dwarfism, cheilognathopalotoschisis, osteogenesis imperfecta, achondrogenesis (Type I). A relationship to skeletal dysplasia was shown. We think, that the representation of foetal faces and their profile plays an important part in second trimester ultrasound screening between 18 and 22 weeks of gestational age. PMID:8467986

  16. Breast cancer screening practices and correlates among American Indian and Alaska Native women in California, 2003

    PubMed Central

    Eberth, Jan M.; Huber, John Charles; Rene, Antonio

    2010-01-01

    Background Breast cancer incidence and mortality have been increasing among American Indian and Alaska Native (AI/AN) women, and their survival rate is the lowest of all racial/ethnic groups. Nevertheless, knowledge of AI/AN women’s breast cancer screening practices and their correlates is limited. Methods Using the 2003 California Health Interview Survey, we 1) compared the breast cancer screening practices of AI/AN women to other groups and 2) explored the association of several factors known or thought to influence AI/AN women’s breast cancer screening practices. Findings Compared to other races, AI/AN women had the lowest rate of mammogram screening (ever and within the past 2 years). For clinical breast exam receipt, Asian women had the lowest rate, followed by AI/AN women. Factors associated with AI/AN women’s breast cancer screening practices included older age, having a high school diploma or some college education, receipt of a Pap test within the past 3 years, and having visited a doctor within the past year. Conclusions Significant differences in breast cancer screening practices were noted between races, with AI/AN women often having significantly lower rates. Integrating these epidemiological findings into effective policy and practice requires additional applied research initiatives. PMID:20211430

  17. Adults with Chromosome 18 Abnormalities.

    PubMed

    Soileau, Bridgette; Hasi, Minire; Sebold, Courtney; Hill, Annice; O'Donnell, Louise; Hale, Daniel E; Cody, Jannine D

    2015-08-01

    The identification of an underlying chromosome abnormality frequently marks the endpoint of a diagnostic odyssey. However, families are frequently left with more questions than answers as they consider their child's future. In the case of rare chromosome conditions, a lack of longitudinal data often makes it difficult to provide anticipatory guidance to these families. The objective of this study is to describe the lifespan, educational attainment, living situation, and behavioral phenotype of adults with chromosome 18 abnormalities. The Chromosome 18 Clinical Research Center has enrolled 483 individuals with one of the following conditions: 18q-, 18p-, Tetrasomy 18p, and Ring 18. As a part of the ongoing longitudinal study, we collect data on living arrangements, educational level attained, and employment status as well as data on executive functioning and behavioral skills on an annual basis. Within our cohort, 28 of the 483 participants have died, the majority of whom have deletions encompassing the TCF4 gene or who have unbalanced rearrangement involving other chromosomes. Data regarding the cause of and age at death are presented. We also report on the living situation, educational attainment, and behavioral phenotype of the 151 participants over the age of 18. In general, educational level is higher for people with all these conditions than implied by the early literature, including some that received post-high school education. In addition, some individuals are able to live independently, though at this point they represent a minority of patients. Data on executive function and behavioral phenotype are also presented. Taken together, these data provide insight into the long-term outcome for individuals with a chromosome 18 condition. This information is critical in counseling families on the range of potential outcomes for their child.

  18. Development and implementation of a user friendly and automated environment for the creation of databases of digital mammograms with simulated microcalcifications

    NASA Astrophysics Data System (ADS)

    Zanca, Federica; Jacobs, Jurgen; Pöyry, Paula; Van Ongeval, Chantal; Carton, Ann-Katherine; Deprez, Tom; Marchal, Guy; Bosmans, Hilde

    2006-03-01

    A database of raw composite mammograms containing simulated microcalcifications was generated. Databases can be used for technology assessment, quality assurance and comparison of different processing algorithms or different visualization modalities in digital mammography. Clinical mammograms were selected and fully documented for this scope. Microcalcifications were simulated in mammography images following a methodology developed and validated in an earlier work of our group. To create microcalcification templates, specimen containing lesions with different morphology types were acquired. From a basic set of (ideal) microcalcification templates, a set of specific templates for the systems under study was generated. The necessary input to do so is the system MTF and attenuation values of aluminum sheets with different thickness. In order to make the whole process less time consuming and applicable on a large scale, dedicated software tools for the creation of composite images have been developed. Automatic analysis of scores from observer performance study, in terms of microcalcification detectability on the composite images, is also implemented. We report on the functionalities foreseen in these new software tools. Simulated microcalcifications were successfully created and inserted in raw images of the Siemens Novation DR, the AGFA DM1000 and the AGFA CR MM2.0.

  19. Autism and developmental abnormalities in children with perinatal cocaine exposure.

    PubMed Central

    Davis, E.; Fennoy, I.; Laraque, D.; Kanem, N.; Brown, G.; Mitchell, J.

    1992-01-01

    Cocaine in all forms is the number one illicit drug of choice among pregnant women. Records of 70 children with cocaine exposure in utero who were referred for developmental evaluation at a large inner-city hospital were reviewed in an effort to determine whether a specific pattern of abnormalities could be discerned. Patients received physical examinations, neurological screenings, and behavioral and developmental assessments based on the Gesell Developmental Inventory, and the Denver Developmental Screening Test. Documentation of specified drug use was obtained by history. Mean age (SEM) at referral was 19.2 (1.7) months. All mothers used cocaine in one of its forms, although polydrug use was common. Growth parameters were low (median = 15th percentile). Significant neurodevelopmental abnormalities were observed, including language delay in 94% of the children and an extremely high frequency of autism (11.4%). The high rate of autistic disorders not known to occur in children exposed to alcohol or opiates alone suggests specific cocaine effects. PMID:1380564

  20. Oral cancer screening: serum Raman spectroscopic approach

    NASA Astrophysics Data System (ADS)

    Sahu, Aditi K.; Dhoot, Suyash; Singh, Amandeep; Sawant, Sharada S.; Nandakumar, Nikhila; Talathi-Desai, Sneha; Garud, Mandavi; Pagare, Sandeep; Srivastava, Sanjeeva; Nair, Sudhir; Chaturvedi, Pankaj; Murali Krishna, C.

    2015-11-01

    Serum Raman spectroscopy (RS) has previously shown potential in oral cancer diagnosis and recurrence prediction. To evaluate the potential of serum RS in oral cancer screening, premalignant and cancer-specific detection was explored in the present study using 328 subjects belonging to healthy controls, premalignant, disease controls, and oral cancer groups. Spectra were acquired using a Raman microprobe. Spectral findings suggest changes in amino acids, lipids, protein, DNA, and β-carotene across the groups. A patient-wise approach was employed for data analysis using principal component linear discriminant analysis. In the first step, the classification among premalignant, disease control (nonoral cancer), oral cancer, and normal samples was evaluated in binary classification models. Thereafter, two screening-friendly classification approaches were explored to further evaluate the clinical utility of serum RS: a single four-group model and normal versus abnormal followed by determining the type of abnormality model. Results demonstrate the feasibility of premalignant and specific cancer detection. The normal versus abnormal model yields better sensitivity and specificity rates of 64 and 80% these rates are comparable to standard screening approaches. Prospectively, as the current screening procedure of visual inspection is useful mainly for high-risk populations, serum RS may serve as a useful adjunct for early and specific detection of oral precancers and cancer.

  1. Oral cancer screening: serum Raman spectroscopic approach.

    PubMed

    Sahu, Aditi K; Dhoot, Suyash; Singh, Amandeep; Sawant, Sharada S; Nandakumar, Nikhila; Talathi-Desai, Sneha; Garud, Mandavi; Pagare, Sandeep; Srivastava, Sanjeeva; Nair, Sudhir; Chaturvedi, Pankaj; Murali Krishna, C

    2015-11-01

    Serum Raman spectroscopy (RS) has previously shown potential in oral cancer diagnosis and recurrence prediction. To evaluate the potential of serum RS in oral cancer screening, premalignant and cancer-specific detection was explored in the present study using 328 subjects belonging to healthy controls, premalignant, disease controls, and oral cancer groups. Spectra were acquired using a Raman microprobe. Spectral findings suggest changes in amino acids, lipids, protein, DNA, and β-carotene across the groups. A patient-wise approach was employed for data analysis using principal component linear discriminant analysis. In the first step, the classification among premalignant, disease control (nonoral cancer), oral cancer, and normal samples was evaluated in binary classification models. Thereafter, two screening-friendly classification approaches were explored to further evaluate the clinical utility of serum RS: a single four-group model and normal versus abnormal followed by determining the type of abnormality model. Results demonstrate the feasibility of premalignant and specific cancer detection. The normal versus abnormal model yields better sensitivity and specificity rates of 64 and 80%; these rates are comparable to standard screening approaches. Prospectively, as the current screening procedure of visual inspection is useful mainly for high-risk populations, serum RS may serve as a useful adjunct for early and specific detection of oral precancers and cancer. PMID:26580700

  2. Oral cancer screening: serum Raman spectroscopic approach.

    PubMed

    Sahu, Aditi K; Dhoot, Suyash; Singh, Amandeep; Sawant, Sharada S; Nandakumar, Nikhila; Talathi-Desai, Sneha; Garud, Mandavi; Pagare, Sandeep; Srivastava, Sanjeeva; Nair, Sudhir; Chaturvedi, Pankaj; Murali Krishna, C

    2015-11-01

    Serum Raman spectroscopy (RS) has previously shown potential in oral cancer diagnosis and recurrence prediction. To evaluate the potential of serum RS in oral cancer screening, premalignant and cancer-specific detection was explored in the present study using 328 subjects belonging to healthy controls, premalignant, disease controls, and oral cancer groups. Spectra were acquired using a Raman microprobe. Spectral findings suggest changes in amino acids, lipids, protein, DNA, and β-carotene across the groups. A patient-wise approach was employed for data analysis using principal component linear discriminant analysis. In the first step, the classification among premalignant, disease control (nonoral cancer), oral cancer, and normal samples was evaluated in binary classification models. Thereafter, two screening-friendly classification approaches were explored to further evaluate the clinical utility of serum RS: a single four-group model and normal versus abnormal followed by determining the type of abnormality model. Results demonstrate the feasibility of premalignant and specific cancer detection. The normal versus abnormal model yields better sensitivity and specificity rates of 64 and 80%; these rates are comparable to standard screening approaches. Prospectively, as the current screening procedure of visual inspection is useful mainly for high-risk populations, serum RS may serve as a useful adjunct for early and specific detection of oral precancers and cancer.

  3. Prevalence of abnormal ECGs in male soccer players decreases with the Seattle criteria, but is still high.

    PubMed

    Berge, H M; Gjesdal, K; Andersen, T E; Solberg, E E; Steine, K

    2015-08-01

    Electrocardiogram (ECG) and echocardiography are mandatory in preparticipation cardiac screening in soccer players. Abnormal ECG findings usually require follow-up investigations. The main aim of this study was to compare the prevalence of abnormal ECG findings in male professional soccer players according to European Society of Cardiology's (ESC) recommendations and the Seattle criteria, and to assess the need for echocardiography. ECGs from 587 of 595 (99%) players were recorded with ClickECG, and measurements were derived with visually adjusted on-screen calipers on the computer-based averaged PQRST complex. Echocardiographic recordings were performed with Vivid 7/i and categorized according to reference values for athlete's heart. After the initial screening, 32 (5.5%) players were recommended for follow-up. The prevalence of abnormal ECGs was 29.3% vs 11.2% according to the ESC's recommendations and the Seattle criteria, respectively. None of the players with abnormal ECGs only according to the ESC's recommendations had abnormal echocardiograms. Echocardiography alone detected one player with abnormalities (athlete's heart). The Seattle criteria reduced the number of athletes with abnormal ECGs considerably compared with the ESC recommendations. Based on echocardiographic evaluations, this increased the specificity of the Seattle criteria, without increasing the number of false-negative ECGs. The need for mandatory echocardiography in soccer players seems limited.

  4. Are PRO discharge screens associated with postdischarge adverse outcomes?

    PubMed Central

    Wei, F.; Mark, D.; Hartz, A.; Campbell, C.

    1995-01-01

    OBJECTIVE. We evaluate whether patient outcomes may be affected by possible errors in care at discharge as assessed by Peer Review Organizations (PROs). DATA SOURCES/STUDY SETTING. The three data sources for the study were (1) the generic screen results of a 3 percent random sample of Medicare beneficiaries age 65 years or older who were admitted to California hospitals between 1 July 1987 and 30 June 1988 (n = 20,136 patients); (2) the 1987 and 1988 California Medicare Provided Analysis and Review (MEDPAR) data files; and (3) the American Hospital Association (AHA) 1988 Annual Survey of Hospitals. STUDY DESIGN. Multivariate logistic regression analysis was used to evaluate the association between the results of generic discharge administered by the PROs and two patient outcomes: mortality and readmission within 30 days. The analysis was adjusted for other patient characteristics recorded on the uniform discharge abstract. PRINCIPAL FINDINGS. Four discharge screens indicated an increased risk of an adverse outcome-absence of documentation of discharge planning, elevated temperature, abnormal pulse, and unaddressed abnormal test results at discharge. The other three discharge screens examined-abnormal blood pressure, IV fluids or drugs, and wound drainage before discharge-were unrelated to postdischarge adverse outcomes. CONCLUSIONS. Generic discharge screens based on inadequate discharge planning, abnormal pulse, increased temperature, or unaddressed abnormal tests may be important indicators of substandard care. Other discharge screens apparently do not detect errors in care associated with major consequences for patients. PMID:7649753

  5. Use of text-message reminders to improve participation in a population-based breast cancer screening program.

    PubMed

    Vidal, C; Garcia, M; Benito, L; Milà, N; Binefa, G; Moreno, V

    2014-09-01

    To analyze the effect of a cell text message reminder service on participation in a mammogram screening program in Catalonia, Spain. A quasi-experimental design was used with women aged 50 to 69 years who had been scheduled mammogram appointments in June or July 2011. Women were personally invited by letter to attend to the breast cancer screening program (n = 12,786). Prior to the invitation, 3,719 (29.1 %) of them had provided their cell telephone number to the National Health Service. These women received a text message reminder 3 days before their scheduled appointment. Logistic regression models were used to analyze whether the text message reminder was associated with participation in screening. Cost-effectiveness of adding a text message reminder to the invitation letter was also analyzed. The overall rate of participation in breast cancer screening was 68.4 %. The participation rate was significantly higher in the text messaging group, with an age-adjusted OR of 1.56 (95 %CI: 1.43-1.70). A detailed analysis showed that the increase in participation related to the text message reminder was higher among women without previous screening who lived in areas where access to postal mail was limited (OR=2.85; 95 %CI: 2.31-3.53) compared to those who lived in areas of easier postal mail access (OR=1.66; 95 %CI: 1.36-2.02). The invitation letter+text message reminder was a cost-effective strategy. Text message reminders are an efficient cost-effective approach to improve participation in difficult-to-reach populations, such as rural areas and newly developed suburbs.

  6. [High frequency of thyroid abnormalities in polycystic ovary syndrome].

    PubMed

    Calvar, Cecilia E; Bengolea, Sonia V; Deutsch, Susana I; Hermes, Ricardo; Ramos, Gustavo; Loyato, Marcelo

    2015-01-01

    The prevalence of thyroid abnormalities (TA) has not been sufficiently assessed in polycystic ovary syndrome (PCOS). Our aim was to evaluate this relationship. In this prospective study 194 women were included. The PCOS group consisted of 142 patients (diagnosed by Rotterdam 2003 criteria) and the control group included 52 age-matched healthy women. Fasting blood samples were drawn for free T4, thyrotropin, thyroperoxidase antibodies (TPOAb), fasting insulin, glucose and HOMA-IR were calculated. A total of 52 PCOS patients had either autoimmune thyroiditis (AIT+) and/or subclinical hypothyroidism (HSC) (36.6%) (thyroid abnormalities:TA+) compared with 7 women of the control group (13.5%), accounting for more than a five fold higher prevalence of TA in PCOS patients, compared with the age-matched controls (adjusted odds ratio: 5.6; CI 95%: 2.1 -14.9; p<0.001). TA+ patients had significantly higher FI and HOMA-IR values than patients without thyroid abnormalities (p<0.05). These results demonstrate a high rate of TA in young PCOS women, associated with higher levels of FI and HOMA-IR. As PCOS, hypothyroidism and thyroid autoimmunity may have a profound impact on reproductive health, our data indicate that PCOS patients should be screened for TA. PMID:26339875

  7. Population screening for beta-thalassaemia.

    PubMed

    Flatz, S D; Flatz, G

    1980-09-01

    The graphic recording of time to 50% haemolysis in a glycerine-saline solution is a simple, reproducible method of determining erythrocyte osmotic fragility. Studies on a normal population yielded an upper limit of normal of 90 s. In 250 healthy males from Northern Thailand all 19 with beta-thalassaemia minor had abnormal osmotic indices, and the value of the test was confirmed in beta-thalassaemia heterozygotes in Europe. Of 23 patients with iron deficiency 18 had abnormal osmotic indices. However, this is not thought likely to be a significant source of false positives in the screening of populations at risk of haemoglobinopathies but in whom iron deficiency is rare.

  8. The Yo me cuido® Program: Addressing Breast Cancer Screening and Prevention Among Hispanic Women.

    PubMed

    Davis, Jenna L; Ramos, Roberto; Rivera-Colón, Venessa; Escobar, Myriam; Palencia, Jeannette; Grant, Cathy G; Green, B Lee

    2015-09-01

    Breast cancer is less likely to be diagnosed at the earliest stage in Hispanic/Latino (Hispanic) women compared to non-Hispanic White women, even after accounting for differences in age, socioeconomic status, and method of detection. Moffitt Cancer Center created a comprehensive health education program called Yo me cuido (®) (YMC) to address and reduce breast cancer disparities among Spanish- and English-speaking Hispanic women by providing breast cancer and healthy lifestyles awareness and education, and promoting breast cancer screenings, reminders, and referrals for women 40 years and older. The purpose of this paper is to showcase the innovative approaches and methods to cancer prevention and early detection of the YMC program, and to promote it as an effective tool for improving outcomes in community health education, outreach, and engagement activities with Hispanic populations. Key components of the program include educational workshops, mammogram referrals, and a multimedia campaign. The YMC program is unique because of its approaches in reaching the Hispanic population, such as delivering the program with compassionate services to empower participants to live a healthier lifestyle. Additionally, direct follow-up for mammography screenings is provided by program staff. From 2011 to 2013, YMC has educated 2,226 women and 165 men through 93 workshops. About 684 (52 %) women ages 40 and older have had a screening mammogram within their first year of participating in the program. The YMC program is an innovative cancer education and outreach program that has demonstrated a positive impact on the lives of the Hispanic community in the Tampa Bay region.

  9. Phenotypic abnormalities: terminology and classification.

    PubMed

    Merks, Johannes H M; van Karnebeek, Clara D M; Caron, Hubert N; Hennekam, Raoul C M

    2003-12-15

    Clinical morphology has proved essential for the successful delineation of hundreds of syndromes and as a powerful instrument for detecting (candidate) genes (Gorlin et al. [2001]; Syndromes of the Head and Neck; Oxford: Oxford University Press. 1 p]. The major approach to reach this has been careful clinical evaluations of patients, focused on congenital anomalies. A similar careful physical examination performed in patients, who have been treated for childhood cancer, may allow detection of concurrent patterns of anomalies and provide clues for causative genes. In the past, several studies were performed describing the prevalence of anomalies in patients with cancer. However, in most studies, it was not possible to indicate the biologic relevance of the recorded anomalies, or to judge their relative importance. Are the detected anomalies common variants, and should they thus be regarded as normal, or are they minor anomalies or true abnormalities, indicating a possible developmental cause? Classification of items in the categories of common variants (disturbances of phenogenesis with a prevalence >4%), minor anomalies (disturbances of phenogenesis with a prevalence abnormal physical findings by a nomenclature for errors of morphogenesis detectable on surface examination, and secondly a uniform classification system. This should allow investigators to evaluate systematically the presence of patterns in phenotypic anomalies, in the general population, and in patients with various disorders, suspected to be a developmental anomaly. Also

  10. Serum screening for Down's syndrome: some women's experiences.

    PubMed Central

    Statham, H; Green, J

    1993-01-01

    OBJECTIVES--To describe the experiences of a small group of women who had positive results after serum screening for Down's syndrome. DESIGN--Semistructured telephone interviews and correspondence with women after a positive screening result (four women) negative amniocentesis results (eight), or termination of a pregnancy with a confirmed abnormality (eight). SUBJECTS--20 women who contacted Support After Termination For Abnormality about their experiences of serum screening for Down's syndrome. MAIN OUTCOME MEASURES--Women's knowledge and understanding of the test; staff misconceptions; communication of results; how women coped with the diagnostic process; attitudes to the test and to termination of abnormal fetuses. RESULTS--All women were made anxious by their positive screening test, no matter how they were told. The women's experiences suggested that medical staff were unclear about the implications of screening tests and how to interpret risk. Even after receipt of negative amniocentesis results some women remained anxious. Staff did not always recognise women's concerns while awaiting amniocentesis results. CONCLUSIONS--The way in which serum screening is being implemented does not always meet the needs of women with positive results. Some of the problems were not specific to screening for Down's syndrome. When screening tests are introduced policies should be adopted to ensure appropriate support for participants. PMID:8343748

  11. Determinants of Breast, Cervical and Colorectal Cancer Screening Adherence in Mexican American Women

    PubMed Central

    Gonzalez, Patricia; Castaneda, Sheila F.; Mills, Paul J.; Talavera, Gregory A.; Elder, John P.; Gallo, Linda C.

    2012-01-01

    Despite the effectiveness of cancer screening procedures, its utilization among Latinas remains low. Guided, in part, by the Behavioral Model for Vulnerable Populations, this study examined the associations between predisposing, enabling, and need factors with self-reported breast, cervical, and colorectal cancer screening adherence. Participants were 319 Mexican American women, from a range of socioeconomic (SES) backgrounds, living near the United States-Mexico border. Women were adherent with breast cancer (BC) screening (≥42 years) if they had received at least one mammogram within the last two years, with cervical cancer (CC) screening (≥40 years) if they had received at least one Pap exam in the last three years, and with colorectal cancer (CRC) screening (≥52 years) if they had undergone one or more of the following: Fecal Occult Blood Test (FOBT) within the last year, or sigmoidoscopy in the last 5 years, or colonoscopy within the last 10 years. BC and CC screenings were higher in the current sample compared to national and state figures: 82% with mammography and 86% adherent with Pap exam screening. However, only 43% were adherent with CRC screening recommendations. Characteristics associated with mammography adherence included CC adherence and usual source of care. BC adherence was associated to CC adherence. Characteristics associated with CRC adherence included BC adherence, being premenopausal, and insurance coverage. A key correlate of cancer screening adherence was adherence to other preventive services. Results underscore the need for continued efforts to ensure that Latinas of all SES levels obtain regular and timely cancer screenings. PMID:21874364

  12. Determinants of breast, cervical and colorectal cancer screening adherence in Mexican-American women.

    PubMed

    Gonzalez, Patricia; Castaneda, Sheila F; Mills, Paul J; Talavera, Gregory A; Elder, John P; Gallo, Linda C

    2012-04-01

    Despite the effectiveness of cancer screening procedures, its utilization among Latinas remains low. Guided, in part, by the Behavioral Model for Vulnerable Populations, this study examined the associations between predisposing, enabling, and need factors with self-reported breast, cervical, and colorectal cancer screening adherence. Participants were 319 Mexican-American women, from a range of socioeconomic backgrounds, living near the United States-Mexico border. Women were adherent with breast cancer (BC) screening (≥42 years) if they had received at least one mammogram within the last 2 years, with cervical cancer (CC) screening (≥40 years) if they had received at least one Pap exam in the last 3 years, and with colorectal cancer (CRC) screening (≥52 years) if they had undergone one or more of the following: Fecal Occult Blood Test within the last year, or sigmoidoscopy in the last 5 years, or colonoscopy within the last 10 years. BC and CC screenings were higher in the current sample compared to national and state figures: 82% with mammography and 86% adherent with Pap exam screening. However, only 43% were adherent with CRC screening recommendations. Characteristics associated with mammography adherence included CC adherence and usual source of care. BC adherence was associated to CC adherence. Characteristics associated with CRC adherence included BC adherence, being premenopausal, and insurance coverage. A key correlate of cancer screening adherence was adherence to other preventive services. Results underscore the need for continued efforts to ensure that Latinas of all SES levels obtain regular and timely cancer screenings.

  13. Screening Mammography

    PubMed Central

    Humphrey, Linda L.; Ballard, David J.

    1988-01-01

    Breast cancer is the most commonly occurring cancer in women and, until recently surpassed by lung cancer, was the leading cause of cancer-related death in women. It is the leading cause of death in women aged 39 to 44 years. The American Cancer Society has estimated that there will be 135,000 new cases of breast cancer and 42,300 breast cancer-related deaths in 1988. It is now predicted that breast cancer will develop in one out of every ten women in the United States. Given the clinical and public health significance of breast cancer, annual screening with mammography and clinical breast examination is recommended for women aged 50 and older to reduce breast cancer mortality. PMID:3407172

  14. Radiologic atlas of pulmonary abnormalities in children

    SciTech Connect

    Singleton, E.B.; Wagner, M.L.; Dutton, R.V.

    1988-01-01

    This book is an atlas about thoracic abnormalities in infants and children. The authors include computed tomographic, digital subtraction angiographic, ultrasonographic, and a few magnetic resonance (MR) images. They recognize and discuss how changes in the medical treatment of premature infants and the management of infection and pediatric tumors have altered some of the appearances and considerations in these diseases. Oriented toward all aspects of pulmonary abnormalities, the book starts with radiographic techniques and then discusses the normal chest, the newborn, infections, tumors, and pulmonary vascular diseases. There is comprehensive treatment of mediastinal abnormalities and a discussion of airway abnormalities.

  15. [Renal abnormalities in ankylosing spondylitis].

    PubMed

    Samia, Barbouch; Hazgui, Faiçal; Abdelghani, Khaoula Ben; Hamida, Fethi Ben; Goucha, Rym; Hedri, Hafedh; Taarit, Chokri Ben; Maiz, Hedi Ben; Kheder, Adel

    2012-07-01

    We will study the epidemiologic, clinical, biological, therapeutic, prognostic characteristics and predictive factors of development of nephropathy in ankylosing spondylitis patients. We retrospectively reviewed the medical record of 32 cases with renal involvement among 212 cases of ankylosing spondylitis followed in our service during the period spread out between 1978 and 2006. The renal involvement occurred in all patients a mean of 12 years after the clinical onset of the rheumatic disease. Thirty-two patients presented one or more signs of renal involvement: microscopic hematuria in 22 patients, proteinuria in 23 patients, nephrotic syndrome in 11 patients and decreased renal function in 24 patients (75%). Secondary renal amyloidosis (13 patients), which corresponds to a prevalence of 6,1% and tubulointerstitial nephropathy (7 patients) were the most common cause of renal involvement in ankylosing spondylitis followed by IgA nephropathy (4 patients). Seventeen patients evolved to the end stage renal disease after an average time of 29.8 ± 46 months. The average follow-up of the patients was 4,4 years. By comparing the 32 patients presenting a SPA and renal disease to 88 with SPA and without nephropathy, we detected the predictive factors of occurred of nephropathy: tobacco, intense inflammatory syndrome, sacroileite stage 3 or 4 and presence of column bamboo. The finding of 75% of the patients presented a renal failure at the time of the diagnosis of renal involvement suggests that evidence of renal abnormality involvement should be actively sought in this disease. PMID:22520483

  16. [Renal abnormalities in ankylosing spondylitis].

    PubMed

    Samia, Barbouch; Hazgui, Faiçal; Abdelghani, Khaoula Ben; Hamida, Fethi Ben; Goucha, Rym; Hedri, Hafedh; Taarit, Chokri Ben; Maiz, Hedi Ben; Kheder, Adel

    2012-07-01

    We will study the epidemiologic, clinical, biological, therapeutic, prognostic characteristics and predictive factors of development of nephropathy in ankylosing spondylitis patients. We retrospectively reviewed the medical record of 32 cases with renal involvement among 212 cases of ankylosing spondylitis followed in our service during the period spread out between 1978 and 2006. The renal involvement occurred in all patients a mean of 12 years after the clinical onset of the rheumatic disease. Thirty-two patients presented one or more signs of renal involvement: microscopic hematuria in 22 patients, proteinuria in 23 patients, nephrotic syndrome in 11 patients and decreased renal function in 24 patients (75%). Secondary renal amyloidosis (13 patients), which corresponds to a prevalence of 6,1% and tubulointerstitial nephropathy (7 patients) were the most common cause of renal involvement in ankylosing spondylitis followed by IgA nephropathy (4 patients). Seventeen patients evolved to the end stage renal disease after an average time of 29.8 ± 46 months. The average follow-up of the patients was 4,4 years. By comparing the 32 patients presenting a SPA and renal disease to 88 with SPA and without nephropathy, we detected the predictive factors of occurred of nephropathy: tobacco, intense inflammatory syndrome, sacroileite stage 3 or 4 and presence of column bamboo. The finding of 75% of the patients presented a renal failure at the time of the diagnosis of renal involvement suggests that evidence of renal abnormality involvement should be actively sought in this disease.

  17. The XXXXY Sex Chromosome Abnormality

    PubMed Central

    Barr, M. L.; Carr, D. H.; Pozsonyi, J.; Wilson, R. A.; Dunn, H. G.; Jacobson, T. S.; Miller, J. R.; Chown, B.

    1962-01-01

    The most common sex chromosome complex in sex chromatin-positive males with Klinefelter's syndrome is XXY. When the complex is XXYY or XXXY, the clinical findings do not seem to differ materially from those seen in XXY subjects, although more patients with these intersexual chromosome complements need to be studied to establish possible phenotypical expressions of the chromosomal variants. Two male children with an XXXXY sex chromosome abnormality are described. The data obtained from the study of these cases and five others described in the literature suggest that the XXXXY patient is likely to have congenital defects not usually seen in the common form of the Klinefelter syndrome. These include a triad of (1) skeletal anomalies (including radioulnar synostosis), (2) hypogenitalism (hypoplasia of penis and scrotum, incomplete descent of testes and defective prepubertal development of seminiferous tubules), and (3) greater risk of severe mental deficiency. That the conclusions are based on data from a small number of patients is emphasized, together with the need for a cytogenetic survey of a large control or unselected population. ImagesFig. 1Fig. 2Fig. 3Fig. 4Fig. 5Fig. 6Fig. 7Fig. 8Fig. 9Fig. 10 PMID:13969480

  18. Fractal analysis of radiologists' visual scanning pattern in screening mammography

    NASA Astrophysics Data System (ADS)

    Alamudun, Folami T.; Yoon, Hong-Jun; Hudson, Kathy; Morin-Ducote, Garnetta; Tourassi, Georgia

    2015-03-01

    Several researchers have investigated radiologists' visual scanning patterns with respect to features such as total time examining a case, time to initially hit true lesions, number of hits, etc. The purpose of this study was to examine the complexity of the radiologists' visual scanning pattern when viewing 4-view mammographic cases, as they typically do in clinical practice. Gaze data were collected from 10 readers (3 breast imaging experts and 7 radiology residents) while reviewing 100 screening mammograms (24 normal, 26 benign, 50 malignant). The radiologists' scanpaths across the 4 mammographic views were mapped to a single 2-D image plane. Then, fractal analysis was applied on the composite 4- view scanpaths. For each case, the complexity of each radiologist's scanpath was measured using fractal dimension estimated with the box counting method. The association between the fractal dimension of the radiologists' visual scanpath, case pathology, case density, and radiologist experience was evaluated using fixed effects ANOVA. ANOVA showed that the complexity of the radiologists' visual search pattern in screening mammography is dependent on case specific attributes (breast parenchyma density and case pathology) as well as on reader attributes, namely experience level. Visual scanning patterns are significantly different for benign and malignant cases than for normal cases. There is also substantial inter-observer variability which cannot be explained only by experience level.

  19. Prediabetes is associated with abnormal circadian blood pressure variability.

    PubMed

    Gupta, A K; Greenway, F L; Cornelissen, G; Pan, W; Halberg, F

    2008-09-01

    Blood pressure (BP) exhibits a circadian variation characterized by a morning increase, followed by a small postprandial valley and a deeper descent during nocturnal rest. Although abnormal 24-h variability (abnormal circadian variability (ACV)) predicts adverse cardiovascular disease (CVD) outcomes, a 7-day automatic ambulatory BP monitoring (ABPM) and subsequent chronobiologic analysis of the gathered data, permits identification of consistency of any abnormal circadian variation. To test whether normal overweight healthy men and women with prediabetes differed from subjects with normoglycemia in having ACV with a 7-day ABPM. Consent for a 7-day ABPM was obtained from subjects with family history of diabetes mellitus, who were participating in the screening phase for a randomized, double blind, placebo-controlled weight loss trial in prediabetics to prevent progression to diabetes mellitus. The automatic 7-day ABPM device recorded BP and heart rate every 30 min during the day and every 60 min during the night. Normoglycemic and prediabetic subjects matched for age, sex, race, BP, BMI, waist circumference and glycemic control, differed statistically significantly only in their fasting and/or 2-h postprandial serum glucose concentrations. Chronobiologically-interpreted 7-day ABPM uncovered no abnormalities in normoglycemics, whereas prediabetics had a statistically significantly higher incidence of high mean BP (MESOR-hypertension), excessive pulse pressure and/or circadian hyper-amplitude-tension (CHAT) (P<0.001). ACV detected with 7-day ABPM may account for the enhanced CVD risk in prediabetes. These findings provide a basis for larger-scale studies to assess the predictive value of 7-day ABPM over the long term. PMID:18480832

  20. Accuracy of Mammograms

    MedlinePlus

    ... Personal Stories Tools & Resources Recently Diagnosed In Treatment Life After Treatment Friends & Family Assistance & Support Understanding Health Insurance How to Find Financial Assistance Accessing Sources of Support Resources We Offer ...

  1. Breast and cervical cancer screening among migrant and seasonal farmworkers: a review.

    PubMed

    Coughlin, Steven S; Wilson, Katherine M

    2002-01-01

    Women constitute about one in five hired farmworkers in the US. Their health may be affected by exposure to unhealthy living and working conditions, by increased exposure to health hazards, by poverty, and by poor utilization of health care and preventive services. About 69% of migrant and seasonal farmworkers were born outside the US, mostly in Mexico and central America, and many speak little English. The health concerns of women who are migrant and seasonal farmworkers include breast and cervical cancer, which can be prevented or controlled through routine screening, but cancer incidence and mortality data for migrant workers are sparse. We reviewed published studies that examined breast and cervical cancer screening in this population. These studies include cross-sectional surveys, health needs assessments, and randomized and non-randomized intervention trials. A review of published studies of cancer screening among women who are migrant and seasonal farmworkers indicates that underutilization of mammograms and Papanicolau (Pap) tests among this population may stem from their limited awareness of the importance of cancer screening and cultural beliefs. Other barriers include cost, lack of health insurance, lack of transportation and child care difficulties. The extent to which results obtained in selected localities are generalizable to other settings is uncertain, but results to date provide important information about possible approaches for increasing cancer screening among women migrant farmworkers. PMID:12269767

  2. Comparing Breast Screening Protocols: Inserting Catch Trials Does Not Improve Sensitivity over Double Screening

    PubMed Central

    Howe, Piers D. L.

    2016-01-01

    Breast screening is an important tool for the early detection of breast cancers. However, tumours are typically present in less than 1% of mammograms. This low prevalence could cause radiologists to detect fewer tumours than they otherwise would, an issue known as the prevalence effect. The aim of our study was to investigate a novel breast screening protocol, designed to decrease the number of tumours missed by radiologists, without increasing their workload. We ran two laboratory-based experiments to assess the degree to which the novel protocol, called the catch trial (CT) protocol, resulted in greater sensitivity (d’) than the double screener protocol (DS), currently utilised in Australia. In our first experiment we found evidence that the CT protocol resulted in a criterion shift relative to the DS protocol but the evidence that sensitivity was greater in the CT protocol relative to the DS protocol was less clear. A second experiment, using more realistic stimuli that were more representative of actual tumours, also failed to find convincing evidence that sensitivity was greater in the CT protocol than in the DS protocol. This experiment instead found that both the hit rate and the false alarm rate increased in the CT protocol relative to the DS protocol. So while there was again evidence that the CT protocol induced a criterion shift, the sensitivity appeared to be approximately the same in both protocols. Our results suggest the CT protocol is unlikely to result in an improvement in sensitivity over the DS protocol, so we cannot recommend that it be trialled in a clinical setting. PMID:27723788

  3. NASA flight electronics environmental stress screening survey

    NASA Technical Reports Server (NTRS)

    Marian, E. J. (Compiler)

    1983-01-01

    Data compiled by the Institute of Environmental Sciences were used to establish guidelines for identifying defective, abnormal, or marginal parts as well as manufacturing defects. These data are augmented with other available sources of similar information in conjunction with NASA centers' data and presented in a form that may be useful to all NASA centers in planning and developing effective environmental stress screens. Information relative to thermal and vibration screens as the most effective methods for surfacing latent failures in electronic equipment at the component level is considered.

  4. Immune Abnormalities in Patients with Autism.

    ERIC Educational Resources Information Center

    Warren, Reed P.; And Others

    1986-01-01

    A study of 31 autistic patients (3-28 years old) has revealed several immune-system abnormalities, including decreased numbers of T lymphocytes and an altered ratio of helper-to-suppressor T cells. Immune-system abnormalities may be directly related to underlying biologic processes of autism or an indirect reflection of the actual pathologic…

  5. An Abnormal Psychology Community Based Interview Assignment

    ERIC Educational Resources Information Center

    White, Geoffry D.

    1977-01-01

    A course option in abnormal psychology involves students in interviewing and observing the activities of individuals in the off-campus community who are concerned with some aspect of abnormal psychology. The technique generates student interest in the field when they interview people about topics such as drug abuse, transsexualism, and abuse of…

  6. Detection of Structural Abnormalities Using Neural Nets

    NASA Technical Reports Server (NTRS)

    Zak, M.; Maccalla, A.; Daggumati, V.; Gulati, S.; Toomarian, N.

    1996-01-01

    This paper describes a feed-forward neural net approach for detection of abnormal system behavior based upon sensor data analyses. A new dynamical invariant representing structural parameters of the system is introduced in such a way that any structural abnormalities in the system behavior are detected from the corresponding changes to the invariant.

  7. Nail abnormalities in patients with vitiligo*

    PubMed Central

    Topal, Ilteris Oguz; Gungor, Sule; Kocaturk, Ozgur Emek; Duman, Hatice; Durmuscan, Mustafa

    2016-01-01

    Background Vitiligo is an acquired pigmentary skin disorder affecting 0.1-4% of the general population. The nails may be affected in patients with an autoimmune disease such as psoriasis, and in those with alopecia areata. It has been suggested that nail abnormalities should be apparent in vitiligo patients. Objective We sought to document the frequency and clinical presentation of nail abnormalities in vitiligo patients compared to healthy volunteers. We also examined the correlations between nail abnormalities and various clinical parameters. Methods This study included 100 vitiligo patients and 100 healthy subjects. Full medical histories were collected from the subjects, who underwent thorough general and nail examinations. All nail changes were noted. In the event of clinical suspicion of a fungal infection, additional mycological investigations were performed. Results Nail abnormalities were more prevalent in the patients (78%) than in the controls (55%) (p=0.001). Longitudinal ridging was the most common finding (42%), followed by (in descending order): leukonychia, an absent lunula, onycholysis, nail bed pallor, onychomycosis, splinter hemorrhage and nail plate thinning. The frequency of longitudinal ridging was significantly higher in patients than in controls (p<0.001). Conclusions Nail abnormalities were more prevalent in vitiligo patients than in controls. Systematic examination of the nails in such patients is useful because nail abnormalities are frequent. However, the causes of such abnormalities require further study. Longitudinal ridging and leukonychia were the most common abnormalities observed in this study. PMID:27579738

  8. Groundwater Screen

    1993-11-09

    GWSCREEN was developed for assessment of the groundwater pathway from leaching of radioactive and non radioactive substances from surface or buried sources and release to percolation ponds. The code calculates the limiting soil concentration or effluent release concentration such that, after leaching and transport to the aquifer, regulatory contaminant levels in groundwater are not exceeded. The code uses a mass conservation approach to model three processes: Contaminant release from a source volume, contaminant transport inmore » the unsaturated zone, and contaminant transport in the saturated zone. The source model considers the sorptive properties and solubility of the contaminant. Transport in the unsaturated zone is described by a plug flow model. Transport in the saturated zone is calculated with a semi-analytical solution to the advection dispersion equation in groundwater. Concentration as a function of time at a user specified receptor point and maximum concentration averaged over the exposure interval are also calculated. In addition, the code calculates transport and impacts of radioactive progeny. Input to GWSCREEN is through one, free format ASCII file. This code was designed for assessment and screening of the groundwater pathway when field data is limited. It was not intended to be a predictive tool.« less

  9. Skeletal Muscle Abnormalities in Heart Failure.

    PubMed

    Kinugawa, Shintaro; Takada, Shingo; Matsushima, Shouji; Okita, Koichi; Tsutsui, Hiroyuki

    2015-01-01

    Exercise capacity is lowered in patients with heart failure, which limits their daily activities and also reduces their quality of life. Furthermore, lowered exercise capacity has been well demonstrated to be closely related to the severity and prognosis of heart failure. Skeletal muscle abnormalities including abnormal energy metabolism, transition of myofibers from type I to type II, mitochondrial dysfunction, reduction in muscular strength, and muscle atrophy have been shown to play a central role in lowered exercise capacity. The skeletal muscle abnormalities can be classified into the following main types: 1) low endurance due to mitochondrial dysfunction; and 2) low muscle mass and muscle strength due to imbalance of protein synthesis and degradation. The molecular mechanisms of these skeletal muscle abnormalities have been studied mainly using animal models. The current review including our recent study will focus upon the skeletal muscle abnormalities in heart failure. PMID:26346520

  10. Ultrasound Screening for Abdominal Aortic Aneurysm

    PubMed Central

    2006-01-01

    Executive Summary Objective The aim of this review was to assess the effectiveness of ultrasound screening for asymptomatic abdominal aortic aneurysm (AAA). Clinical Need Abdominal aortic aneurysm is a localized abnormal dilatation of the aorta greater than 3 cm. In community surveys, the prevalence of AAA is reported to be between 2% and 5.4%. Abdominal aortic aneurysms are found in 4% to 8% of older men and in 0.5% to 1.5% of women aged 65 years and older. Abdominal aortic aneurysms are largely asymptomatic. If left untreated, the continuing extension and thinning of the vessel wall may eventually result in rupture of the AAA. Often rupture may occur without warning, causing acute pain. Rupture is always life threatening and requires emergency surgical repair of the ruptured aorta. The risk of death from ruptured AAA is 80% to 90%. Over one-half of all deaths attributed to a ruptured aneurysm take place before the patient reaches hospital. In comparison, the rate of death in people undergoing elective surgery is 5% to 7%; however, symptoms of AAA rarely occur before rupture. Given that ultrasound can reliably visualize the aorta in 99% of the population, and its sensitivity and specificity for diagnosing AAA approaches 100%, screening for aneurysms is worth considering as it may reduce the incidence of ruptured aneurysms and hence reduce unnecessary deaths caused by AAA-attributable mortality. Review Strategy The Medical Advisory Secretariat used its standard search strategy to retrieve international health technology assessments and English-language journal articles from selected databases to determine the effectiveness of ultrasound screening for abdominal aortic aneurysms. Case reports, letters, editorials, nonsystematic reviews, non-human studies, and comments were excluded. Questions asked: Is population-based AAA screening effective in improving health outcomes in asymptomatic populations? Is AAA screening acceptable to the population? Does this affect the

  11. Health Screenings and Immunizations

    MedlinePlus

    ... your primary doctor. Blood Tests – A Common Screening Method (Source: National Heart, Lung, and Blood Institute) Click ... tests, see What Are Blood Tests? Other Screening Methods Doctors can't screen for all diseases and ...

  12. Screen time and children

    MedlinePlus

    "Screen time" is a term used for activities done in front of a screen, such as watching TV, working on a computer, or playing video games. Screen time is sedentary activity, meaning you are being physically ...

  13. RBC Antibody Screen

    MedlinePlus

    ... be limited. Home Visit Global Sites Search Help? RBC Antibody Screen Share this page: Was this page ... Screen Related tests: Direct Antiglobulin Test ; Blood Typing ; RBC Antibody Identification ; Type and Screen; Crossmatch All content ...

  14. What Is Carrier Screening?

    MedlinePlus

    ... you want to learn. Search form Search Carrier screening You are here Home Testing & Services Testing for ... help you make the decision. What Is Carrier Screening? Carrier screening checks if a person is a " ...

  15. Utility of the Thin Prep Imaging System® in the detection of squamous intraepithelial abnormalities on retrospective evaluation: can we trust the imager?

    PubMed

    Barroeta, Julieta E; Reilly, Mary E; Steinhoff, Margaret M; Lawrence, W Dwayne

    2012-02-01

    Prospective studies analyzing the ThinPrep Imaging System (TIS) have demonstrated a significant decrease in screening time and detection rates comparable or better than manual screening. We retrospectively analyzed the accuracy of the TIS in detecting cervical abnormalities. Our study included all new HSIL diagnoses in 2007 with previous negative (NIL) pap tests screened with TIS. The original 22 fields of view (FOV) were reviewed by 2 blinded screeners followed by manual screening of all slides. Any ASC-US or above was considered "abnormal." Of a total of 111,080 pap tests performed in 2007, 180 were reported as HSIL. Of these, 45 cases had a previous NIL pap diagnosed within the last year, screened with TIS. Following re-examination of the NIL pap, 31 diagnoses remained unchanged and 9 were reclassified as abnormal on the basis of cells present within the original FOV. When manually reviewed, all nine cases were confirmed as abnormal. Four cases were reclassified as abnormal on the basis of the manual screen (abnormal cells absent in the FOV). The sensitivity of TIS for the detection of abnormality was 99.95% (false-negative rate FNR: 0.05%) and the sensitivity for detection of HSIL was 99.07% (FNR: 0.92%). When analyzing the cytotechnologist interpretation of the FOV, the sensitivity for detection of abnormality and HSIL was 99.89% (FNR: 0.1%), and 99.53% (FNR: 0.4%), respectively. On retrospective analysis based on newly diagnosed HSIL cases, the sensitivity of TIS was comparable to that of manual screening with a slightly decreased rate of false negatives.

  16. Characteristics Associated with Mammography Screening among Both Hispanic and Non-Hispanic White Women

    PubMed Central

    Hines, Lisa; Byers, Tim; Risendal, Betsy; Slattery, Martha L.; Sweeney, Carol; Baumgartner, Kathy B.; Giuliano, Anna

    2009-01-01

    Abstract Aims This study explores whether certain population characteristics are associated with adherence to mammography screening guidelines among Hispanic and non-Hispanic white (NHW) women living in the southwestern United States. Methods Participants in a population-based study (4-Corners' Breast Cancer Study) included in this analysis were 790 Hispanic women and 1441 NHW women. Multivariate logistic regression was used to compute the ethnic-specific adjusted odds ratios (OR) and 95% confidence intervals (CI) for the association of the outcome variable (adherent vs. nonadherent) and its correlates. Women were adherent if they had obtained their first mammogram between 41 and 50 years of age and had received at least one mammogram per 2 years or less. Results Ethnic-specific associations were observed with certain population characteristics and mammography adherence. Specifically, characteristics that were significantly associated with adherence among Hispanic women were younger age (50–59 years), having a family history of breast cancer, nulliparity, hormone replacement therapy (HRT) use, nonsteroidal anti-inflammatory drug (NSAID) use, and performing regular breast self-examinations (BSE). Among NHW women, younger age (50–59 years), family history of breast cancer, obesity, consuming moderate amounts of alcohol, and taking HRT were associated with mammography adherence. When adjusting for the evaluated population characteristics, the relationship between ethnicity and mammography adherence was no longer apparent. Conclusions Ethnic-specific characteristics appear to explain differences in mammography adherence among Hispanic and NHW women. Disparities in screening rates, late-stage disease and breast cancer mortality that impact Hispanic women could potentially be addressed more effectively by interventions that specifically target the unique characteristics of the Hispanic population. PMID:19754247

  17. Criteria for Identifying Radiologists with Acceptable Screening Mammography Interpretive Performance based on Multiple Performance Measures

    PubMed Central

    Miglioretti, Diana L.; Ichikawa, Laura; Smith, Robert A.; Bassett, Lawrence W.; Feig, Stephen A.; Monsees, Barbara; Parikh, Jay R.; Rosenberg, Robert D.; Sickles, Edward A.; Carney, Patricia A.

    2014-01-01

    Objective Using a combination of performance measures, we updated previously proposed criteria for identifying physicians whose performance interpreting screening mammograms may indicate suboptimal interpretation skills. Materials and Methods In this Institutional Review Board-approved, HIPAA-compliant study, six expert breast imagers used a method based on the Angoff approach to update criteria for acceptable mammography performance on the basis of combined performance measures: (Group 1) sensitivity and specificity, for facilities with complete capture of false-negative cancers; and (Group 2) cancer detection rate (CDR), recall rate, and positive predictive value of a recall (PPV1), for facilities that cannot capture false negatives, but have reliable cancer follow-up information for positive mammograms. Decisions were informed by normative data from the Breast Cancer Surveillance Consortium (BCSC). Results Updated, combined ranges for acceptable sensitivity and specificity of screening mammography are: (1) sensitivity ≥80% and specificity ≥85% or (2) sensitivity 75–79% and specificity 88–97%. Updated ranges for CDR, recall rate, and PPV1 are: (1) CDR ≥6/1000, recall rate 3–20%, and any PPV1; (2) CDR 4–6/1000, recall rate 3–15%, and PPV1 ≥3%; or (3) CDR 2.5–4/1000, recall rate 5–12%, and PPV1 3–8%. Using the original criteria, 51% of BCSC radiologists had acceptable sensitivity and specificity; 40% had acceptable CDR, recall rate, and PPV1. Using the combined criteria, 69% had acceptable sensitivity and specificity and 62% had acceptable CDR, recall rate, and PPV1. Conclusion The combined criteria improve previous criteria by considering the inter-relationships of multiple performance measures and broaden the acceptable performance ranges compared to previous criteria based on individual measures. PMID:25794100

  18. Sleep Physiology, Abnormal States, and Therapeutic Interventions

    PubMed Central

    Wickboldt, Alvah T.; Bowen, Alex F.; Kaye, Aaron J.; Kaye, Adam M.; Rivera Bueno, Franklin; Kaye, Alan D.

    2012-01-01

    Sleep is essential. Unfortunately, a significant portion of the population experiences altered sleep states that often result in a multitude of health-related issues. The regulation of sleep and sleep-wake cycles is an area of intense research, and many options for treatment are available. The following review summarizes the current understanding of normal and abnormal sleep-related conditions and the available treatment options. All clinicians managing patients must recommend appropriate therapeutic interventions for abnormal sleep states. Clinicians' solid understanding of sleep physiology, abnormal sleep states, and treatments will greatly benefit patients regardless of their disease process. PMID:22778676

  19. Numerically abnormal chromosome constitutions in humans

    SciTech Connect

    1993-12-31

    Chapter 24, discusses numerically abnormal chromosome constitutions in humans. This involves abnormalities of human chromosome number, including polyploidy (when the number of sets of chromosomes increases) and aneuploidy (when the number of individual normal chromosomes changes). Chapter sections discuss the following chromosomal abnormalities: human triploids, imprinting and uniparental disomy, human tetraploids, hydatidiform moles, anomalies caused by chromosomal imbalance, 13 trisomy (D{sub 1} trisomy, Patau syndrome), 21 trisomy (Down syndrome), 18 trisomy syndrome (Edwards syndrome), other autosomal aneuploidy syndromes, and spontaneous abortions. The chapter concludes with remarks on the nonrandom participation of chromosomes in trisomy. 69 refs., 3 figs., 4 tabs.