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Sample records for detect breast cancer

  1. Breast Cancer Detection

    NASA Technical Reports Server (NTRS)

    2000-01-01

    The BioScan System was developed by OmniCorder Technologies, Inc. at the Jet Propulsion Laboratory. The system is able to locate cancerous lesions by detecting the cancer's ability to recruit a new blood supply. A digital sensor detects infrared energy emitted from the body and identifies the minute differences accompanying the blood flow changes associated with cancerous cells. It also has potential use as a monitoring device during cancer treatment. This technology will reduce the time taken to detect cancerous cells and allow for earlier intervention, therefore increasing the overall survival rates of breast cancer patients.

  2. Screening for Breast Cancer: Detection and Diagnosis

    MedlinePlus

    ... page please turn JavaScript on. Feature: Screening For Breast Cancer Detection and Diagnosis Past Issues / Summer 2014 Table ... States Preventive Services Task Force updated recommendations on breast cancer screening, suggesting that women ages 50 to 74 ...

  3. Breast Cancer Prevention and Early Detection

    MedlinePlus

    ... saved articles window. My Saved Articles » My ACS » Breast Cancer Prevention and Early Detection Download Printable Version [PDF] » ( ... the factors that may affect your risk for breast cancer, and find out what you can do to ...

  4. Breast Cancer Detection

    NASA Technical Reports Server (NTRS)

    1976-01-01

    NASA's Jet Propulsion Laboratory has come up with a technique to decrease exposure to harmful x-rays in mammographies or breast radiography. Usually, physicians make more than one exposure to arrive at an x-ray film of acceptable density. Now the same solar cells used to convert sunlight into electricity on space satellites can make a single exposure sufficient. When solar cell sensor is positioned directly beneath x-ray film, it can determine exactly when film has received sufficient radiation and has been exposed to optimum density. At that point associated electronic equipment sends signal to cut off x-ray source. Reduction of mammography to single exposures not only reduced x-ray hazard significantly, but doubled the number of patient examinations handled by one machine. The NASA laboratory used this control system at the Huntington Memorial Hospital with overwhelming success.

  5. Breast cancer detection using time reversal

    NASA Astrophysics Data System (ADS)

    Sheikh Sajjadieh, Mohammad Hossein

    Breast cancer is the second leading cause of cancer death after lung cancer among women. Mammography and magnetic resonance imaging (MRI) have certain limitations in detecting breast cancer, especially during its early stage of development. A number of studies have shown that microwave breast cancer detection has potential to become a successful clinical complement to the conventional X-ray mammography. Microwave breast imaging is performed by illuminating the breast tissues with an electromagnetic waveform and recording its reflections (backscatters) emanating from variations in the normal breast tissues and tumour cells, if present, using an antenna array. These backscatters, referred to as the overall (tumour and clutter) response, are processed to estimate the tumour response, which is applied as input to array imaging algorithms used to estimate the location of the tumour. Due to changes in the breast profile over time, the commonly utilized background subtraction procedures used to estimate the target (tumour) response in array processing are impractical for breast cancer detection. The thesis proposes a new tumour estimation algorithm based on a combination of the data adaptive filter with the envelope detection filter (DAF/EDF), which collectively do not require a training step. After establishing the superiority of the DAF/EDF based approach, the thesis shows that the time reversal (TR) array imaging algorithms outperform their conventional conterparts in detecting and localizing tumour cells in breast tissues at SNRs ranging from 15 to 30dB.

  6. Noninvasive strategies for breast cancer early detection.

    PubMed

    Trecate, Giovanna; Sinues, Pablo Martinez-Lozano; Orlandi, Rosaria

    2016-06-01

    Breast cancer screening and presurgical diagnosis are currently based on mammography, ultrasound and more sensitive imaging technologies; however, noninvasive biomarkers represent both a challenge and an opportunity for early detection of cancer. An extensive number of potential breast cancer biomarkers have been discovered by microarray hybridization or sequencing of circulating DNA, noncoding RNA and blood cell RNA; multiplex analysis of immune-related molecules and mass spectrometry-based approaches for high-throughput detection of protein, endogenous peptides, circulating and volatile metabolites. However, their medical relevance and their translation to clinics remain to be exploited. Once they will be fully validated, cancer biomarkers, used in combination with the current and emerging imaging technologies, represent an avenue to a personalized breast cancer diagnosis. PMID:27044539

  7. Is clinical breast examination important for breast cancer detection?

    PubMed Central

    Provencher, L.; Hogue, J.C.; Desbiens, C.; Poirier, B.; Poirier, E.; Boudreau, D.; Joyal, M.; Diorio, C.; Duchesne, N.; Chiquette, J.

    2016-01-01

    Background Screening clinical breast examination (cbe) is controversial; the use of cbe is declining not only as a screening tool, but also as a diagnostic tool. In the present study, we aimed to assess the value of cbe in breast cancer detection in a tertiary care centre for breast diseases. Methods This retrospective study of all breast cancers diagnosed between July 1999 and December 2010 at our centre categorized cases according to the mean of detection (cbe, mammography, or both). A cbe was considered “abnormal” in the presence of a mass, nipple discharge, skin or nipple retraction, edema, erythema, peau d’orange, or ulcers. Results During the study period, a complete dataset was available for 6333 treated primary breast cancers. Cancer types were ductal carcinoma in situ (15.3%), invasive ductal carcinoma (75.7%), invasive lobular carcinoma (9.0%), or others (2.2%). Of the 6333 cancers, 36.5% (n = 2312) were detected by mammography alone, 54.8% (n = 3470) by mammography and cbe, and 8.7% (n = 551) by physician-performed cbe alone (or 5.3% if considering ultrasonography). Invasive tumours diagnosed by cbe alone were more often triple-negative, her2-positive, node-positive, and larger than those diagnosed by mammography alone (p < 0.05). Conclusions A significant number of cancers would have been missed if cbe had not been performed. Compared with cancers detected by mammography alone, those detected by cbe had more aggressive features. Clinical breast examination is a very low-cost test that could improve the detection of breast cancer and could prompt breast ultrasonography in the case of a negative mammogram. PMID:27536182

  8. [Public policies for the detection of breast cancer in Mexico].

    PubMed

    Martínez-Montañez, Olga Georgina; Uribe-Zúñiga, Patricia; Hernández-Avila, Mauricio

    2009-01-01

    Breast Cancer is a significant public health problem associated with epidemiological and demographic transitions that are currently taking place in Mexico. Aging and increased exposure to risk factors are thought to increase breast cancer incidence, having great relevance for the society and health services. Under this scenario, the health system must respond to the growing needs for better breast cancer screening services. In this paper we present an update of breast cancer mortality, general international recommendations for breast cancer screening programs and key aspects of the Mexico Action Program for Breast Cancer Screening and Control 2007-2012. Breast cancer policies are aimed at organizing and increasing the infrastructure to develop a National Program for Detection, Diagnosis and Treatment of Breast Cancer with optimal quality, friendliness and respect for patient's rights. PMID:19967293

  9. Ultrasonic imaging techniques for breast cancer detection.

    SciTech Connect

    Goulding, N. R.; Marquez, J. D.; Prewett, E. M.; Claytor, T. N.; Nadler, B. R.; Huang, L.

    2006-01-01

    Improving the resolution and specificity of current ultrasonic imaging technology can enhance its relevance to detection of early-stage breast cancers. Ultrasonic evaluation of breast lesions is desirable because it is quick, inexpensive, and does not expose the patient to potentially harmful ionizing radiation. Improved image quality and resolution enables earlier detection and more accurate diagnoses of tumors, thus reducing the number of biopsies performed, increasing treatment options, and lowering mortality, morbidity, and remission percentages. In this work, a novel ultrasonic imaging reconstruction method that exploits straight-ray migration is described. This technique, commonly used in seismic imaging, accounts for scattering more accurately than standard ultrasonic approaches, thus providing superior image resolution. A breast phantom with various inclusions is imaged using a pulse-echo approach. The data are processed using the ultrasonic migration method and results are compared to standard linear ultrasound and to x-ray computed tomography (CT) scans. For an ultrasonic frequency of 2.25 MHz, imaged inclusions and features of approximately 1mm are resolved, although better resolution is expected with minor modifications. Refinement of this application using other imaging techniques such as time-reversal mirrors (TRM), synthetic aperture focusing technique (SAFT), decomposition of the time reversal operator (DORT), and factorization methods is also briefly discussed.

  10. Breast Cancer Basics and You: Detection and Diagnosis | NIH MedlinePlus the Magazine

    MedlinePlus

    ... of this page please turn Javascript on. Feature: Breast Cancer Breast Cancer Basics and You: Detection and Diagnosis Past Issues / ... regular clinical breast exams and mammograms to find breast cancer early, when treatment is more likely to work ...

  11. Multimodal optical imaging for detecting breast cancer

    NASA Astrophysics Data System (ADS)

    Patel, Rakesh; Khan, Ashraf; Wirth, Dennis; Kamionek, Michal; Kandil, Dina; Quinlan, Robert; Yaroslavsky, Anna N.

    2012-06-01

    The goal of the study was to evaluate wide-field and high-resolution multimodal optical imaging, including polarization, reflectance, and fluorescence for the intraoperative detection of breast cancer. Lumpectomy specimens were stained with 0.05 mg/ml aqueous solution of methylene blue (MB) and imaged. Wide-field reflectance images were acquired between 390 and 750 nm. Wide-field fluorescence images were excited at 640 nm and registered between 660 and 750 nm. High resolution confocal reflectance and fluorescence images were excited at 642 nm. Confocal fluorescence images were acquired between 670 nm and 710 nm. After imaging, the specimens were processed for hematoxylin and eosin (H&E) histopathology. Histological slides were compared with wide-field and high-resolution optical images to evaluate correlation of tumor boundaries and cellular morphology, respectively. Fluorescence polarization imaging identified the location, size, and shape of the tumor in all the cases investigated. Averaged fluorescence polarization values of tumor were higher as compared to normal tissue. Statistical analysis confirmed the significance of these differences. Fluorescence confocal imaging enabled cellular-level resolution. Evaluation and statistical analysis of MB fluorescence polarization values registered from single tumor and normal cells demonstrated higher fluorescence polarization from cancer. Wide-field high-resolution fluorescence and fluorescence polarization imaging shows promise for intraoperative delineation of breast cancers.

  12. Distinct breast cancer characteristics between screen- and self-detected breast cancers recorded in the Japanese Breast Cancer Registry.

    PubMed

    Iwamoto, Takayuki; Kumamaru, Hiraku; Miyata, Hiroaki; Tomotaki, Ai; Niikura, Naoki; Kawai, Masaaki; Anan, Keisei; Hayashi, Naoki; Masuda, Shinobu; Tsugawa, Koichiro; Aogi, Kenjiro; Ishida, Takanori; Masuoka, Hideji; Iijima, Kotaro; Matsuoka, Junji; Doihara, Hiroyoshi; Kinoshita, Takayuki; Nakamura, Seigo; Tokuda, Yutaka

    2016-04-01

    The rate of breast cancer screening for women of all ages in Japan is increasing. However, little is known about the biological differences between screen- and self-detected tumors. We used data from the Japanese Breast Cancer Registry (JBCR), a nationwide registry of newly diagnosed breast cancer cases in Japan, to investigate patients diagnosed between January 1, 2004 and December 31, 2011. We compared the clinicopathological features of tumors and assessed yearly trends regarding the proportion of screen-detected cases during the study period. We found that 31.8 % (65,358/205,544) of cancers were detected by screening. Asymptomatic tumors detected by screening (asymptomatic) were more likely to have favorable prognostic features than those that were self-detected (ductal carcinoma in situ [DCIS]: 19.8 versus 4.1 %, node-negative: 77.0 versus 61.6 %, and estrogen receptor-positive [ER+]: 82.0 versus 72.9 %, respectively). All these findings were statistically significant (p < .001). The proportion of breast cancers detected by screening among all cases increased from 21.7 % in 2004 to 37.1 % in 2011. During the same time period, the proportion of screen-detected DCIS increased from 41.5 to 66.0 % and that of ER+ cancers increased from 23.2 to 39.7 %. This study demonstrated that low-risk tumors, including DCIS, ER+, and lower TNM stage, account for a substantial proportion of clinical screening-detected cancers. The differences in biological characteristics between screen- and self-detected cancers may account in part for the limited efficacy of breast cancer screening programs aimed at improving breast cancer mortality. PMID:27048417

  13. Advanced imaging techniques for the detection of breast cancer.

    PubMed

    Jochelson, Maxine

    2012-01-01

    Mammography is the only breast imaging examination that has been shown to reduce breast cancer mortality. Population-based sensitivity is 75% to 80%, but sensitivity in high-risk women with dense breasts is only in the range of 50%. Breast ultrasound and contrast-enhanced breast magnetic resonance imaging (MRI) have become additional standard modalities used in the diagnosis of breast cancer. In high-risk women, ultrasound is known to detect approximately four additional cancers per 1,000 women. MRI is exquisitely sensitive for the detection of breast cancer. In high-risk women, it finds an additional four to five cancers per 100 women. However, both ultrasound and MRI are also known to lead to a large number of additional benign biopsies and short-term follow-up examinations. Many new breast imaging tools have improved and are being developed to improve on our current ability to diagnose early-stage breast cancer. These can be divided into two groups. The first group is those that are advances in current techniques, which include digital breast tomosynthesis and contrast-enhanced mammography and ultrasound with elastography or microbubbles. The other group includes new breast imaging platforms such as breast computed tomography (CT) scanning and radionuclide breast imaging. These are exciting advances. However, in this era of cost and radiation containment, it is imperative to look at all of them objectively to see which will provide clinically relevant additional information. PMID:24451711

  14. Multistatic adaptive microwave imaging for early breast cancer detection.

    PubMed

    Xie, Yao; Guo, Bin; Xu, Luzhou; Li, Jian; Stoica, Petre

    2006-08-01

    We propose a new multistatic adaptive microwave imaging (MAMI) method for early breast cancer detection. MAMI is a two-stage robust Capon beamforming (RCB) based image formation algorithm. MAMI exhibits higher resolution, lower sidelobes, and better noise and interference rejection capabilities than the existing approaches. The effectiveness of using MAMI for breast cancer detection is demonstrated via a simulated 3-D breast model and several numerical examples. PMID:16916099

  15. Detection of breast cancer. A practitioner's viewpoint.

    PubMed

    Siegel, A J

    1977-12-01

    Ultimate responsibility for the early diagnosis of breast cancer rests upon the front line or primary care physician, just as management decisions following diagnosis fall principally upon the surgeon, radiotherapist, and oncologist. The value of mammography as an effective screening test for the early detection of disease has been enthusiastically endorsed over the past several years on the basis of encouraging results of several studies. Serious reservations regarding the safety of mammography as a screening procedure have subsequently been raised. The practicing physician is faced with a serious problem of time lag in gathering information upon which to base clinical decisions. The purpose of this article is to review the pros and cons in the controversy over mammography so that informed decisions can be made on behalf of patients. PMID:243918

  16. Computerized detection of breast cancer on automated breast ultrasound imaging of women with dense breasts

    SciTech Connect

    Drukker, Karen Sennett, Charlene A.; Giger, Maryellen L.

    2014-01-15

    Purpose: Develop a computer-aided detection method and investigate its feasibility for detection of breast cancer in automated 3D ultrasound images of women with dense breasts. Methods: The HIPAA compliant study involved a dataset of volumetric ultrasound image data, “views,” acquired with an automated U-Systems Somo•V{sup ®} ABUS system for 185 asymptomatic women with dense breasts (BI-RADS Composition/Density 3 or 4). For each patient, three whole-breast views (3D image volumes) per breast were acquired. A total of 52 patients had breast cancer (61 cancers), diagnosed through any follow-up at most 365 days after the original screening mammogram. Thirty-one of these patients (32 cancers) had a screening-mammogram with a clinically assigned BI-RADS Assessment Category 1 or 2, i.e., were mammographically negative. All software used for analysis was developed in-house and involved 3 steps: (1) detection of initial tumor candidates, (2) characterization of candidates, and (3) elimination of false-positive candidates. Performance was assessed by calculating the cancer detection sensitivity as a function of the number of “marks” (detections) per view. Results: At a single mark per view, i.e., six marks per patient, the median detection sensitivity by cancer was 50.0% (16/32) ± 6% for patients with a screening mammogram-assigned BI-RADS category 1 or 2—similar to radiologists’ performance sensitivity (49.9%) for this dataset from a prior reader study—and 45.9% (28/61) ± 4% for all patients. Conclusions: Promising detection sensitivity was obtained for the computer on a 3D ultrasound dataset of women with dense breasts at a rate of false-positive detections that may be acceptable for clinical implementation.

  17. Breast Cancer Basics and You: Detection and Diagnosis | NIH MedlinePlus the Magazine

    MedlinePlus

    ... of this page please turn Javascript on. Feature: Breast Cancer Breast Cancer Basics and You: Detection and Diagnosis Past ... healthcare provider when they have a concern." Clinical Breast Exam During a clinical breast exam, your healthcare ...

  18. Detection of circulating breast cancer cells using photoacoustic flow cytometry

    NASA Astrophysics Data System (ADS)

    Bhattacharyya, Kiran

    According to the American Cancer Society, more than 200,000 new cases of breast cancer are expected to be diagnosed this year. Moreover, about 40,000 women died from breast cancer last year alone. As breast cancer progresses in an individual, it can transform from a localized state to a metastatic one with multiple tumors distributed through the body, not necessarily contained within the breast. Metastasis is the spread of cancer through the body by circulating tumor cells (CTCs) which can be found in the blood and lymph of the diagnosed patient. Diagnosis of a metastatic state by the discovery of a secondary tumor can often come too late and hence, significantly reduce the patient's chance of survival. There is a current need for a CTC detection method which would diagnose metastasis before the secondary tumor occurs or reaches a size resolvable by current imaging systems. Since earlier detection would improve prognosis, this study proposes a method of labeling of breast cancer cells for detection with a photoacoustic flow cytometry system as a model for CTC detection in human blood. Gold nanoparticles and fluorescent polystyrene nanoparticles are proposed as contrast agents for T47D, the breast cancer cell line of choice. The labeling, photoacoustic detection limit, and sensitivity are first characterized and then applied to a study to show detection from human blood.

  19. 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.

  20. Breast cancer detection in rotational thermography images using texture features

    NASA Astrophysics Data System (ADS)

    Francis, Sheeja V.; Sasikala, M.; Bhavani Bharathi, G.; Jaipurkar, Sandeep D.

    2014-11-01

    Breast cancer is a major cause of mortality in young women in the developing countries. Early diagnosis is the key to improve survival rate in cancer patients. Breast thermography is a diagnostic procedure that non-invasively images the infrared emissions from breast surface to aid in the early detection of breast cancer. Due to limitations in imaging protocol, abnormality detection by conventional breast thermography, is often a challenging task. Rotational thermography is a novel technique developed in order to overcome the limitations of conventional breast thermography. This paper evaluates this technique's potential for automatic detection of breast abnormality, from the perspective of cold challenge. Texture features are extracted in the spatial domain, from rotational thermogram series, prior to and post the application of cold challenge. These features are fed to a support vector machine for automatic classification of normal and malignant breasts, resulting in a classification accuracy of 83.3%. Feature reduction has been performed by principal component analysis. As a novel attempt, the ability of this technique to locate the abnormality has been studied. The results of the study indicate that rotational thermography holds great potential as a screening tool for breast cancer detection.

  1. Breast Cancer

    MedlinePlus

    ... version of this page please turn Javascript on. Breast Cancer What is Breast Cancer? How Tumors Form The body is made up ... tumors form in the breast tissue. Who Gets Breast Cancer? Breast cancer is one of the most common ...

  2. Radionuclide Methods and Instrumentation for Breast Cancer Detection and Diagnosis

    PubMed Central

    Surti, Suleman

    2013-01-01

    Breast cancer mammography is a well-acknowledged technique for patient screening due to its high sensitivity. However, in addition to its low specificity the sensitivity of mammography is limited when imaging patients with dense breasts. Radionuclide imaging techniques, such as coincidence photon-based positron emission tomography and single photon emission computed tomography or scintimammography, can play a role in assisting screening of such patients. Radionuclide techniques can also be useful in assessing treatment response of patients with breast cancer to therapy, and staging of patients to diagnose the disease extent. However, the performance of these imaging modalities is generally limited because of the poor spatial resolution and sensitivity of the commercially available multipurpose imaging systems. Here, we describe some of the dedicated imaging systems (positron emission mammography [PEM] and breast-specific gamma imaging [BSGI]) that have been developed both commercially and in research laboratories for radionuclide imaging of breast cancer. Clinical studies with dedicated PEM scanners show improved sensitivity to detecting cancer in patients when using PEM in conjunction with additional imaging modalities, such as magnetic resonance imaging or mammography or both, as well as improved disease staging that can have an effect on surgical planning. High-resolution BSGI systems are more widely available commercially and several clinical studies have shown very high sensitivity and specificity in detecting cancer in high-risk patients. Further development of dedicated PEM and BSGI systems is ongoing, promising further expansion of radionuclide imaging techniques in the realm of breast cancer detection and treatment. PMID:23725989

  3. Flexible 16 Antenna Array for Microwave Breast Cancer Detection.

    PubMed

    Bahramiabarghouei, Hadi; Porter, Emily; Santorelli, Adam; Gosselin, Benoit; Popović, Milica; Rusch, Leslie A

    2015-10-01

    Radar-based microwave imaging has been widely studied for breast cancer detection in recent times. Sensing dielectric property differences of tissues has been studied over a wide frequency band for this application. We design single- and dual-polarization antennas for wireless ultrawideband breast cancer detection systems using an inhomogeneous multilayer model of the human breast. Antennas made from flexible materials are more easily adapted to wearable applications. Miniaturized flexible monopole and spiral antennas on a 50-μm Kapton polyimide are designed, using a high-frequency structure simulator, to be in contact with biological breast tissues. The proposed antennas are designed to operate in a frequency range of 2-4 GHz (with reflection coefficient (S11) below -10 dB). Measurements show that the flexible antennas have good impedance matching when in different positions with different curvature around the breast. Our miniaturized flexible antennas are 20 mm × 20 mm. Furthermore, two flexible conformal 4 × 4 ultrawideband antenna arrays (single and dual polarization), in a format similar to that of a bra, were developed for a radar-based breast cancer detection system. By using a reflector for the arrays, the penetration of the propagated electromagnetic waves from the antennas into the breast can be improved by factors of 3.3 and 2.6, respectively. PMID:26011862

  4. Breast MRI, digital mammography and breast tomosynthesis: Comparison of three methods for early detection of breast cancer

    PubMed Central

    Roganovic, Dragana; Djilas, Dragana; Vujnovic, Sasa; Pavic, Dag; Stojanov, Dragan

    2015-01-01

    Breast cancer is the most common malignancy in women and early detection is important for its successful treatment. The aim of this study was to investigate the sensitivity and specificity of three methods for early detection of breast cancer: breast magnetic resonance imaging (MRI), digital mammography, and breast tomosynthesis in comparison to histopathology, as well as to investigate the intraindividual variability between these modalities. We included 57 breast lesions, each detected by three diagnostic modalities: digital mammography, breast MRI, and breast tomosynthesis, and subsequently confirmed by histopathology. Breast Imaging-Reporting and Data System (BI-RADS) was used for characterizing the lesions. One experienced radiologist interpreted all three diagnostic modalities. Twenty-nine of the breast lesions were malignant while 28 were benign. The sensitivity for digital mammography, breast MRI, and breast tomosynthesis, was 72.4%, 93.1%, and 100%, respectively; while the specificity was 46.4%, 60.7%, and 75%, respectively. Receiver operating characteristics (ROC) curve analysis showed an overall diagnostic advantage of breast tomosynthesis over both breast MRI and digital mammography. with significant difference between breast tomosynthesis and digital mammography (p<0.001), while the difference between breast tomosynthesis and breast MRI was not significant (p = 0.20). PMID:26614855

  5. [Pros and cons of early cancer detection in breast carcinoma].

    PubMed

    Callies, R; Oberhoff, C

    2005-04-01

    Mammography is an appropriate method for the detection of early forms of cancer of the breast, and for reducing mortality. Whether this actually succeeds depends upon the quality of the early detection strategies employed. Currently the data on reduction of mortality by mammographic screening remain ambivalent. PMID:15887680

  6. Symptom report in detecting breast cancer-related lymphedema

    PubMed Central

    Fu, Mei R; Axelrod, Deborah; Cleland, Charles M; Qiu, Zeyuan; Guth, Amber A; Kleinman, Robin; Scagliola, Joan; Haber, Judith

    2015-01-01

    Breast cancer-related lymphedema is a syndrome of abnormal swelling coupled with multiple symptoms resulting from obstruction or disruption of the lymphatic system associated with cancer treatment. Research has demonstrated that with increased number of symptoms reported, breast cancer survivors’ limb volume increased. Lymphedema symptoms in the affected limb may indicate a latent stage of lymphedema in which changes cannot be detected by objective measures. The latent stage of lymphedema may exist months or years before overt swelling occurs. Symptom report may play an important role in detecting lymphedema in clinical practice. The purposes of this study were to: 1) examine the validity, sensitivity, and specificity of symptoms for detecting breast cancer-related lymphedema and 2) determine the best clinical cutoff point for the count of symptoms that maximized the sum of sensitivity and specificity. Data were collected from 250 women, including healthy female adults, breast cancer survivors with lymphedema, and those at risk for lymphedema. Lymphedema symptoms were assessed using a reliable and valid instrument. Validity, sensitivity, and specificity were evaluated using logistic regression, analysis of variance, and areas under receiver operating characteristic curves. Count of lymphedema symptoms was able to differentiate healthy adults from breast cancer survivors with lymphedema and those at risk for lymphedema. A diagnostic cutoff of three symptoms discriminated breast cancer survivors with lymphedema from healthy women with a sensitivity of 94% and a specificity of 97% (area under the curve =0.98). A diagnostic cutoff of nine symptoms discriminated at-risk survivors from survivors with lymphedema with a sensitivity of 64% and a specificity of 80% (area under the curve =0.72). In the absence of objective measurements capable of detecting latent stages of lymphedema, count of symptoms may be a cost-effective initial screening tool for detecting lymphedema

  7. 75 FR 7282 - Breast and Cervical Cancer Early Detection and Control Advisory Committee (BCCEDCAC)

    Federal Register 2010, 2011, 2012, 2013, 2014

    2010-02-18

    ... HUMAN SERVICES Centers for Disease Control and Prevention Breast and Cervical Cancer Early Detection and... cervical cancer. The committee makes recommendations regarding national program goals and objectives... Force guidelines for breast and cervical cancer screening; Impact of the revised clinical...

  8. Breast-Conserving Surgery Followed by Radiation Therapy With MRI-Detected Stage I or Stage II Breast Cancer

    ClinicalTrials.gov

    2011-12-07

    Ductal Breast Carcinoma in Situ; Estrogen Receptor-negative Breast Cancer; Estrogen Receptor-positive Breast Cancer; HER2-negative Breast Cancer; HER2-positive Breast Cancer; Invasive Ductal Breast Carcinoma; Invasive Lobular Breast Carcinoma; Male Breast Cancer; Medullary Ductal Breast Carcinoma With Lymphocytic Infiltrate; Mucinous Ductal Breast Carcinoma; Papillary Ductal Breast Carcinoma; Progesterone Receptor-negative Breast Cancer; Progesterone Receptor-positive Breast Cancer; Stage I Breast Cancer; Stage II Breast Cancer; Tubular Ductal Breast Carcinoma

  9. Spectral imaging detects breast cancer in fresh unstained specimens

    NASA Astrophysics Data System (ADS)

    Chung, Alice; Gaon, Mark; Jeong, Jihoon; Karlan, Scott; Lindsley, Erik; Wachsmann-Hogiu, Sebastian; Xiong, Yizhi; Zhao, Tong; Farkas, Daniel L.

    2006-02-01

    Spectral imaging has recently been introduced in the biomedical field as a noninvasive, quantitative means of studying biological tissues. Many of its potential applications have been demonstrated (in vitro and, to a lesser degree, in vivo) with the use of stains or dyes. Successful translation to the clinical environment has been largely lagging, due to safety considerations and regulatory limitations preventing use of contrast agents in humans. We report experiments showing the feasibility of high-resolution spectral imaging of breast cancer without the use of contrast agents, thus completing the continuum of translational research, to in vivo imaging that will be directly applicable in the clinical environment. Our initial work focused on image acquisition using Fourier transform microinterferometry and subsequent segmentation of both stained and unstained breast cancer slides-derived image sets. We then applied our techniques to imaging fresh unstained ex vivo specimens of rat breast cancer and sentinel lymph nodes. We also investigated multiple methods of classification to optimize our image analyses, and preliminary results for the best algorithm tested yielded an overall sensitivity of 96%, and a specificity of 92% for cancer detection. Using spectral imaging and classification techniques, we were able to demonstrate that reliable detection of breast cancer in fixed and fresh unstained specimens of breast tissue is possible.

  10. Millimeter Wave Spectroscopy for Breast Cancer Diagnostics and Detection

    NASA Astrophysics Data System (ADS)

    Korolev, Konstantin; Chen, Shu; Afsar, Mohammed; Naber, Stephen

    2009-03-01

    Broad-band millimeter wave transmittance measurements of normal and tumorous (cancerous) human breast tissue samples have been acquired in--vitro by employing a free-space, quasi-optical spectrometer. Freshly excised breast tissues were prepared and preserved in 10% neutral-buffered formalin solution before testing. Significant differences in the transmittance profiles have been found between the normal and tumorous tissues. It has been found that despite the inhomogeneity and variable structure and composition of each single tissue, the tumorous specimens consistently manifest much higher absorption level of millimeter wave radiation than the normal ones. It has been shown that free space, quasi-optical spectrometer is capable of contributing valuable insights into the dielectric properties of normal and tumorous human breast tissues and aiding in further developments of millimeter wave spectroscopy and mammography for the breast cancer diagnostics and detection.

  11. Breast Cancer

    MedlinePlus

    Breast cancer affects one in eight women during their lives. Breast cancer kills more women in the United States ... cancer. No one knows why some women get breast cancer, but there are a number of risk ...

  12. Breast Cancer:Detection and Diagnosis | NIH MedlinePlus the Magazine

    MedlinePlus

    ... page please turn JavaScript on. Feature: Screening For Breast Cancer Detection and Diagnosis Past Issues / Summer 2014 ... treatment is more likely to work well. Clinical Breast Exam During a clinical breast exam, your health ...

  13. Flexible sixteen monopole antenna array for microwave breast cancer detection.

    PubMed

    Bahrami, H; Porter, E; Santorelli, A; Gosselin, B; Popovic, M; Rusch, L A

    2014-01-01

    Radar based microwave imaging (MI) has been widely studied for breast cancer detection in recent times. Sensing dielectric property differences of tissues over a wide frequency band has been made possible by ultra-wideband (UWB) techniques. In this paper, a flexible, compact monopole antenna on a 100 μm Kapton polyimide is designed, using a high frequency structure simulator (HFSS), to be in contact with biological breast tissues over the 2-5GHz frequency range. The antenna parameters are optimized to obtain a good impedance match over the required frequency range. The designed antenna size is 18mm × 18mm. Further, a flexible conformal 4×4 ultra-wideband antenna array, in a format similar to that of a bra, was developed for a radar-based breast cancer detection system. PMID:25570813

  14. Breast Cancer

    MedlinePlus

    ... are here Home > Types of Cancer > Breast Cancer Breast Cancer This is Cancer.Net’s Guide to Breast Cancer. Use the menu below to choose the Overview/ ... social workers, and patient advocates. Cancer.Net Guide Breast Cancer Overview Statistics Medical Illustrations Risk Factors Screening Symptoms ...

  15. An exploration of rural and urban Kenyan women's knowledge and attitudes regarding breast cancer and breast cancer early detection measures.

    PubMed

    Muthoni, Ann; Miller, Ann Neville

    2010-09-01

    Many women in Kenya with breast cancer symptoms do not seek medical attention until their cancer is very advanced, leading to high mortality rates and a heavy cancer burden on the nation. In this study we employed eight focus groups with low- and middle-income rural and urban Kenyan women to explore their knowledge, attitudes, and behaviors concerning breast cancer and its early detection measures. Topics for discussion were derived from the components of the Health Belief Model (HBM). Findings revealed a huge divide between urban middle-income women and all other groups with respect to knowledge of breast cancer and early detection measures. In addition, women viewed breast cancer as a highly severe disease. Perceived benefits of early detection measures centered around preparing themselves for what was assumed to be inevitable death. PMID:20677038

  16. What Is Breast Cancer?

    MedlinePlus

    ... Next Topic Types of breast cancers What is breast cancer? Breast cancer starts when cells in the breast ... breast cancer? ” and Non-cancerous Breast Conditions . How Breast Cancer Spreads Breast cancer can spread through the lymph ...

  17. Breast cancer detection using phase contrast diffuse optical tomography

    NASA Astrophysics Data System (ADS)

    Liang, Xiaoping; Zhang, Qizhi; Li, Changqing; Grobmyer, Stephen R.; Fajardo, Laurie L.; Jiang, Huabei

    2007-02-01

    In this report, a phase-contrast diffuse optical tomography system, which can measure the refractive indices of human breast masses in vivo, is described. To investigate the utility of phase-contrast diffuse optical tomography (PCDOT) for differentiation of malignant and benign breast masses in humans, and to compare PCDOT with conventional diffuse optical tomography (DOT) for analysis of breast masses in humans. 35 breast masses were imaged in 33 patients (mean age = 51 years; range 22-80 years) using PCDOT. Images characterizing the tissue refractive index, absorption and scattering of breast masses were obtained with a finite element-based reconstruction algorithm. The accuracies of absorption and scattering images were compared with images of refractive index in light of the pathology results. Absorption and scattering images were unable to accurately discriminate benign from malignant lesions. Malignant lesions tended to have decreased refractive index allowing them to discriminate from benign lesions in most cases. The sensitivity, specificity, false positive value, and overall accuracy for refractive index were 81.8%, 70.8%, 29.2%, and 74.3%, respectively. Overall we show that benign and malignant breast masses in humans demonstrate different refractive index and differences in refractive index properties can be used to discriminate benign from malignant masses in patients with high accuracy. This opens up a new avenue for improved breast cancer detection using NIR diffusing light.

  18. Detection of eight BRCA1 mutations in 10 breast/ovarian cancer families, including 1 family with male breast cancer

    SciTech Connect

    Sruewing, J.P.; Brody, L.C.; Erdos, M.R.

    1995-07-01

    Genetic epidemiological evidence suggests that mutations in BRCA1 may be responsible for approximately one half of early onset familial breast cancer and the majority of familial breast/ovarian cancer. The recent cloning of BRCA1 allows for the direct detection of mutations, but the feasibility of presymptomatic screening for cancer susceptibility is unknown. We analyzed genomic DNA from one affected individual from each of 24 families with at least three cases of ovarian or breast cancer, using SSCP assays. Variant SSCP bands were subcloned and sequenced. Allele-specific oligonucleotide hybridization was used to verify sequence changes and to screen DNA from control individuals. Six frameshift and two missense mutations were detected in 10 different families. A frameshift mutation was detected in a male proband affected with both breast and prostate cancer. A 40-bp deletion was detected in a patient who developed intra-abdominal carcinomatosis 1 year after prophylactic oophorectomy. Mutations were detected throughout the gene, and only one was detected in more than a single family. These results provide further evidence that inherited breast and ovarian cancer can occur as a consequence of a wide array of BRCA1 mutations. These results suggests that development of a screening test for BRCA1 mutations will be technically challenging. The finding of a mutation in a family with male breast cancer, not previously thought to be related to BRCA1, also illustrates the potential difficulties of genetic counseling for individuals known to carry mutations. 37 refs., 1 fig., 1 tab.

  19. Pregnancy-associated breast cancer: significance of early detection.

    PubMed

    Ulery, Maryann; Carter, Linnette; McFarlin, Barbara L; Giurgescu, Carmen

    2009-01-01

    Pregnancy-associated breast cancer (PABC) is defined as cancer of the breast diagnosed during pregnancy and up to 1 year postpartum. Delays in diagnosis are frequently associated with increased morbidity and mortality. The aim of this article is to determine the significance of early detection of PABC and to alert health care providers to include PABC in the differential diagnosis when evaluating a breast mass in the perinatal period. This integrative literature review evaluated 15 research studies by using the hypothetical deductive model of clinical reasoning to determine factors related to diagnosis of PABC. As women delay childbearing, the incidence of PABC increases with age. In the reviewed studies, breast cancer was diagnosed with greater frequency in the postpartum period than during any trimester in pregnancy. Delay in diagnosis is complicated by axillary lymph node metastasis, high-grade tumors at diagnosis, and poor outcomes. Early detection is a significant predictor of improved outcomes. Diagnostic modalities such as ultrasound, mammography, and biopsy can be safely used for diagnostic purposes in the evaluation of potential cases of PABC during pregnancy. PMID:19720336

  20. Breast cancer

    MedlinePlus

    ... of targeted therapy. It blocks certain hormones that fuel cancer growth. Cancer treatment can be local or ... breast cancer should not drink alcohol at all) Alternative Names Cancer - breast; Carcinoma - ductal; Carcinoma - lobular; DCIS; ...

  1. Skin artifact removal technique for breast cancer radar detection

    NASA Astrophysics Data System (ADS)

    Caorsi, S.; Lenzi, C.

    2016-06-01

    In this paper we propose a new model-based skin artifact cleaning technique with the aim to remove skin reflections with good effectiveness, without introducing significant signal distortions, and without assuming a priori information on the real structure of the breast. The reference cleaning model, constituted by a two-layer geometry skin-adipose tissue, is oriented to all the ultrawideband radar methods able to detect the tumor starting by the knowledge of each trace recorded around the breast. All the radar signal measurements were simulated by using realistic breast models derived from the University of Wisconsin computational electromagnetic laboratory database and the finite difference time domain (FDTD)-based open source software GprMax. First, we have searched for the best configuration for the reference cleaning model with the aim to minimize the distortions introduced on the radar signal. Second, the performance of the proposed cleaning technique has been assessed by using a breast cancer radar detection technique based on the use of artificial neural network (ANN). In order to minimize the signal distortions, we found that it was necessary to use the real skin thickness and the static Debye parameters of both skin and adipose tissue. In such a case the ANN-based radar approach was able to detect the tumor with an accuracy of 87%. By extending the performance assessment also to the case when only average standard values are used to characterize the reference cleaning model, the detection accuracy was of 84%.

  2. 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

    2015-08-01

    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

  3. Decision support system for breast cancer detection using mammograms.

    PubMed

    Ganesan, Karthikeyan; Acharya, Rajendra U; Chua, Chua K; Min, Lim C; Mathew, Betty; Thomas, Abraham K

    2013-07-01

    Mammograms are by far one of the most preferred methods of screening for breast cancer. Early detection of breast cancer can improve survival rates to a greater extent. Although the analysis and diagnosis of breast cancer are done by experienced radiologists, there is always the possibility of human error. Interobserver and intraobserver errors occur frequently in the analysis of medical images, given the high variability between every patient. Also, the sensitivity of mammographic screening varies with image quality and expertise of the radiologist. So, there is no golden standard for the screening process. To offset this variability and to standardize the diagnostic procedures, efforts are being made to develop automated techniques for diagnosis and grading of breast cancer images. This article presents a classification pipeline to improve the accuracy of differentiation between normal, benign, and malignant mammograms. Several features based on higher-order spectra, local binary pattern, Laws' texture energy, and discrete wavelet transform were extracted from mammograms. Feature selection techniques based on sequential forward, backward, plus-l-takeaway-r, individual, and branch-and-bound selections using the Mahalanobis distance criterion were used to rank the features and find classification accuracies for combination of several features based on the ranking. Six classifiers were used, namely, decision tree classifier, fisher classifier, linear discriminant classifier, nearest mean classifier, Parzen classifier, and support vector machine classifier. We evaluated our proposed methodology with 300 mammograms obtained from the Digital Database for Screening Mammography and 300 mammograms from the Singapore Anti-Tuberculosis Association CommHealth database. Sensitivity, specificity, and accuracy values were used to compare the performances of the classifiers. Our results show that the decision tree classifier demonstrated an excellent performance compared to

  4. Mammaglobin peptide as a novel biomarker for breast cancer detection

    PubMed Central

    Galvis-Jiménez, Julie M.; Curtidor, Hernando; Patarroyo, Manuel A.; Monterrey, Pedro; Ramírez-Clavijo, Sandra R.

    2013-01-01

    Among the different types of tests used for cancer diagnosis, molecular tests have been increrasingly incorporated because of their ability to detect either expression or functional changes in the molecules associated with the disease. Mammaglobin is a protein found in mammary tissue and can be detected in serum. This protein has been proposed as a biomarker to diagnose breast cancer, given that patients exhibit an increased amount of the protein in serum and tumor tissue, in comparison to healthy individuals. The ELISA test was used in the present study to detect mammaglobin in blood samples from 51 breast cancer patients and 51 control individuals. Antibodies against mamaglobin were generated in rabbits by using the following synthetic peptides: A (amino acids 13 to 21), B (amino acids 31 to 39), C (amino acids 56 to 64) and a D peptide, corresponding to the protein isoform without three amino acids (59, 60 and 61 amino acids) from peptide C. All peptides were immunogenic and allowed generation of antibodies that were able to discriminate patients from controls. The best results were obtained for antiserum B, achieving the best sensitivity (86.3%) and specificity (96%). PMID:23358476

  5. Photonic Crystal Enhanced Fluorescence for Early Breast Cancer Biomarker Detection

    PubMed Central

    Cunningham, Brian T.; Zangar, Richard C.

    2013-01-01

    Photonic crystal surfaces offer a compelling platform for improving the sensitivity of surface-based fluorescent assays used in disease diagnostics. Through the complementary processes of photonic crystal enhanced excitation and enhanced extraction, a periodic dielectric-based nanostructured surface can simultaneously increase the electric field intensity experienced by surface-bound fluorophores and increase the collection efficiency of emitted fluorescent photons. Through the ability to inexpensively fabricate photonic crystal surfaces over substantial surface areas, they are amenable to single-use applications in biological sensing, such as disease biomarker detection in serum. In this review, we will describe the motivation for implementing high-sensitivity, multiplexed biomarker detection in the context of breast cancer diagnosis. We will summarize recent efforts to improve the detection limits of such assays though the use of photonic crystal surfaces. Reduction of detection limits is driven by low autofluorescent substrates for photonic crystal fabrication, and detection instruments that take advantage of their unique features. PMID:22736539

  6. BREAST AND CERVICAL CANCER EARLY DETECTION PROGRAM OR MINIMUM DATA ELEMENTS (MDE)

    EPA Science Inventory

    To help improve access to early detection screening for breast and cervical cancers for underserved women, Congress passed the Breast and Cervical Cancer Mortality Prevention Act of 1990, which created the Centers for Disease Control and Prevention's (CDC) National Breast and Cer...

  7. Adaptive neuro-fuzzy inference systems for automatic detection of breast cancer.

    PubMed

    Ubeyli, Elif Derya

    2009-10-01

    This paper intends to an integrated view of implementing adaptive neuro-fuzzy inference system (ANFIS) for breast cancer detection. The Wisconsin breast cancer database contained records of patients with known diagnosis. The ANFIS classifiers learned how to differentiate a new case in the domain by given a training set of such records. The ANFIS classifier was used to detect the breast cancer when nine features defining breast cancer indications were used as inputs. The proposed ANFIS model combined the neural network adaptive capabilities and the fuzzy logic qualitative approach. Some conclusions concerning the impacts of features on the detection of breast cancer were obtained through analysis of the ANFIS. The performance of the ANFIS model was evaluated in terms of training performances and classification accuracies and the results confirmed that the proposed ANFIS model has potential in detecting the breast cancer. PMID:19827261

  8. CS based confocal microwave imaging algorithm for breast cancer detection.

    PubMed

    Sun, Y P; Zhang, S; Cui, Z; Qu, L L

    2016-04-29

    Based on compressive sensing (CS) technology, a high resolution confocal microwave imaging algorithm is proposed for breast cancer detection. With the exploitation of the spatial sparsity of the target space, the proposed image reconstruction problem is cast within the framework of CS and solved by the sparse constraint optimization. The effectiveness and validity of the proposed CS imaging method is verified by the full wave synthetic data from numerical breast phantom using finite-difference time-domain (FDTD) method. The imaging results have shown that the proposed imaging scheme can improve the imaging quality while significantly reducing the amount of data measurements and collection time when compared to the traditional delay-and-sum imaging algorithm. PMID:27177106

  9. Digital Image Processing Technique for Breast Cancer Detection

    NASA Astrophysics Data System (ADS)

    Guzmán-Cabrera, R.; Guzmán-Sepúlveda, J. R.; Torres-Cisneros, M.; May-Arrioja, D. A.; Ruiz-Pinales, J.; Ibarra-Manzano, O. G.; Aviña-Cervantes, G.; Parada, A. González

    2013-09-01

    Breast cancer is the most common cause of death in women and the second leading cause of cancer deaths worldwide. Primary prevention in the early stages of the disease becomes complex as the causes remain almost unknown. However, some typical signatures of this disease, such as masses and microcalcifications appearing on mammograms, can be used to improve early diagnostic techniques, which is critical for women’s quality of life. X-ray mammography is the main test used for screening and early diagnosis, and its analysis and processing are the keys to improving breast cancer prognosis. As masses and benign glandular tissue typically appear with low contrast and often very blurred, several computer-aided diagnosis schemes have been developed to support radiologists and internists in their diagnosis. In this article, an approach is proposed to effectively analyze digital mammograms based on texture segmentation for the detection of early stage tumors. The proposed algorithm was tested over several images taken from the digital database for screening mammography for cancer research and diagnosis, and it was found to be absolutely suitable to distinguish masses and microcalcifications from the background tissue using morphological operators and then extract them through machine learning techniques and a clustering algorithm for intensity-based segmentation.

  10. Multi-modal Ultrasound Imaging for Breast Cancer Detection

    NASA Astrophysics Data System (ADS)

    Medina-Valdés, L.; Pérez-Liva, M.; Camacho, J.; Udías, J. M.; Herraiz, J. L.; González-Salido, N.

    This work describes preliminary results of a two-modality imaging system aimed at the early detection of breast cancer. The first technique is based on compounding conventional echographic images taken at regular angular intervals around the imaged breast. The other modality obtains tomographic images of propagation velocity using the same circular geometry. For this study, a low-cost prototype has been built. It is based on a pair of opposed 128-element, 3.2 MHz array transducers that are mechanically moved around tissue mimicking phantoms. Compounded images around 360° provide improved resolution, clutter reduction, artifact suppression and reinforce the visualization of internal structures. However, refraction at the skin interface must be corrected for an accurate image compounding process. This is achieved by estimation of the interface geometry followed by computing the internal ray paths. On the other hand, sound velocity tomographic images from time of flight projections have been also obtained. Two reconstruction methods, Filtered Back Projection (FBP) and 2D Ordered Subset Expectation Maximization (2D OSEM), were used as a first attempt towards tomographic reconstruction. These methods yield useable images in short computational times that can be considered as initial estimates in subsequent more complex methods of ultrasound image reconstruction. These images may be effective to differentiate malignant and benign masses and are very promising for breast cancer screening.

  11. Breast Cancer

    MedlinePlus

    ... I found something when I did my breast self-exam. What should I do now? How often should I have mammograms? I have breast cancer. What are my treatment options? How often should I do breast self-exams? I have breast cancer. Is my daughter ...

  12. Pattern of Breast Cancer Distribution in Ghana: A Survey to Enhance Early Detection, Diagnosis, and Treatment

    PubMed Central

    Debrah, Samuel

    2016-01-01

    Background. Nearly 70% of women diagnosed with breast cancer in Ghana are in advanced stages of the disease due especially to low awareness, resulting in limited treatment success and high death rate. With limited epidemiological studies on breast cancer in Ghana, the aim of this study is to assess and understand the pattern of breast cancer distribution for enhancing early detection and treatment. Methods. We randomly selected and screened 3000 women for clinical palpable breast lumps and used univariate and bivariate analysis for description and exploration of variables, respectively, in relation to incidence of breast cancer. Results. We diagnosed 23 (0.76%) breast cancer cases out of 194 (6.46%) participants with clinically palpable breast lumps. Seventeen out of these 23 (0.56%) were premenopausal (<46.6 years) with 7 (0.23%) being below 35 years. With an overall breast cancer incidence of 0.76% in this study, our observation that about 30% of these cancer cases were below 35 years may indicate a relative possible shift of cancer burden to women in their early thirties in Ghana, compared to Western countries. Conclusion. These results suggest an age adjustment for breast cancer screening to early twenties for Ghanaian women and the need for a nationwide breast cancer screening to understand completely the pattern of breast cancer distribution in Ghana.

  13. Breast Cancer

    MedlinePlus

    Breast cancer affects one in eight women during their lives. No one knows why some women get breast cancer, but there are many risk factors. Risks that ... who have family members with breast or ovarian cancer may wish to be tested for the genes. ...

  14. 76 FR 55915 - Request for Nominations of Candidates to Serve on the Breast and Cervical Cancer Early Detection...

    Federal Register 2010, 2011, 2012, 2013, 2014

    2011-09-09

    ... on the Breast and Cervical Cancer Early Detection and Control Advisory Committee (BCCEDCAC) The... the CDC on the early detection and control of breast and cervical cancer. The role of the BCCEDCAC...

  15. Religious beliefs and delay in breast cancer diagnosis for self-detected breast changes in African-American women.

    PubMed

    Gullatte, Mary Magee; Hardin, Pamela; Kinney, Anita; Powe, Barbara; Mooney, Kathi

    2009-07-01

    African-American women have a one-third higher death rate from breast cancer. Delay in breast cancer detection is a significant factor in being diagnosed at a later stage. The objective of this research was to examine the relationship between religious beliefs and delay in diagnosis of breast cancer and breast cancer stage for self-detected breast symptoms. Participants ranged in age from 30 to 84 years, with a median age of 54 years. This was a descriptive, correlational study, which utilized an open-ended questionnaire. Statistically significant association was found between Time to Seek Medical Care and Stage of Breast Cancer at p = 0.001, with 67% of the participants (n = 87) presenting with > Stage I breast cancer, and with the mean time to seek medical care at 5.4 months. A statistically significant association was also found related to "did you tell anyone about the breast change"? (i. e., Yes, No, or Only Talked to God). Delay in time to seek medical care was significantly associated with only talking to God about the breast change at (p = 0.02). Telling someone about their breast symptom was also statistically significant at p = 0.01 for reducing delay. PMID:19691181

  16. Clinical Outcome of Magnetic Resonance Imaging-Detected Additional Lesions in Breast Cancer Patients

    PubMed Central

    Ha, Gi-Won; Yi, Mi Suk; Lee, Byoung Kil; Jung, Sung Hoo

    2011-01-01

    Purpose The aim of this study was to investigate the clinical outcome of additional breast lesions identified with breast magnetic resonance imaging (MRI) in breast cancer patients. Methods A total of 153 patients who underwent breast MRI between July 2006 and March 2008 were retrospectively reviewed. Thirty-three patients (21.6&) were recommended for second-look ultrasound (US) for further characterization of additional lesions detected on breast MRI and these patients constituted our study population. Results Assessment for lesions detected on breast MRI consisted of the following: 25 benign lesions (73.5&), two indeterminate (5.9%), and seven malignant (20.6%) in 33 patients. Second-look US identified 12 additional lesions in 34 lesions (35.3%) and these lesions were confirmed by histological examination. Of the 12 lesions found in the 11 patients, six (50.0%) including one contralateral breast cancer were malignant. The surgical plan was altered in 18.2% (six of 33) of the patients. The use of breast MRI justified a change in treatment for four patients (66.7%) and caused two patients (33.3&) to undergo unwarranted additional surgical procedures. Conclusion Breast MRI identified additional multifocal or contralateral cancer which was not detected initially on conventional imaging in breast cancer patients. Breast MRI has become an indispensable modality in conjunction with conventional modalities for preoperative evaluation of patients with operable breast cancer. PMID:22031803

  17. Breast Cancer Prevention

    MedlinePlus

    ... of Breast & Gynecologic Cancers Breast Cancer Screening Research Breast Cancer Prevention (PDQ®)–Patient Version What is prevention? Go ... to keep cancer from starting. General Information About Breast Cancer Key Points Breast cancer is a disease in ...

  18. CEST-MRI detects metabolite levels altered by breast cancer cell aggressiveness and chemotherapy response.

    PubMed

    Chan, Kannie W Y; Jiang, Lu; Cheng, Menglin; Wijnen, Jannie P; Liu, Guanshu; Huang, Peng; van Zijl, Peter C M; McMahon, Michael T; Glunde, Kristine

    2016-06-01

    Chemical exchange saturation transfer (CEST) is an MRI contrast mechanism that detects the exchange of protons from distinct hydroxyl, amine, and amide groups to tissue water through the transfer of signal loss, with repeated exchange enhancing their effective signal. We applied CEST to detect systematically 15 common cellular metabolites in a panel of differentially aggressive human breast cancer cell lines. The highest CEST contrast was generated by creatine, myo-inositol, glutamate, and glycerophosphocholine, whose cellular concentrations decreased with increasing breast cancer aggressiveness. These decreased metabolite concentrations resulted in turn in a decreased CEST profile with increasing breast cancer aggressiveness in water-soluble extracts of breast cell lines. Treatment of both breast cancer cell lines with the chemotherapy drug doxorubicin resulted in increased metabolic CEST profiles, which correlated with significant increases in creatine, phosphocreatine, and glycerophosphocholine. CEST can detect breast cancer aggressiveness and response to chemotherapy in water-soluble extracts of breast cell lines. The presented results help shed light on possible contributions from CEST-active metabolites to the CEST contrast produced by breast cancers. The metabolic CEST profile may improve detection sensitivity over conventional MRS, and may have the potential to assess breast cancer aggressiveness and response to chemotherapy non-invasively using MRI if specialized metabolic CEST profile detection can be realized in vivo. Copyright © 2016 John Wiley & Sons, Ltd. PMID:27100284

  19. Second-look ultrasonography for MRI-detected suspicious breast lesions in patients with breast cancer

    PubMed Central

    2015-01-01

    Purpose: The purpose of this study is to evaluate the use of second-look ultrasonography (US) for investigating additional suspicious lesions detected on preoperative staging magnetic resonance imaging (MRI) for breast cancer. Methods: Between September 2008 and August 2010, 1,970 breast MRIs were performed at our medical institution for the evaluation of breast cancer before surgery. Second-look US was recommended for 135 patients with 149 suspicious lesions, following the MRI interpretation, and 108 patients with 121 lesions were included in this study. The detection rate on second-look US, according to the lesion type, diameter, and histopathological outcome, was analyzed. Results: Of the 121 lesions considered in this study, 97 (80.2%) were diagnosed on MRI as masses and 24 (19.8%) as non-mass-like lesions; 105 lesions (86.8%) were correlated and 16 (13.2%) were not correlated with the findings of second-look US. Of the 105 correlated lesions, 29 (27.6%) were proven to be malignant and 76 (72.4%) were benign. Although a greater number of large malignant lesions were correlated on second-look US than small benign lesions, there was no statistically significant difference according to lesion diameter or type, as seen on MRI or pathology. Conclusion: We have concluded that second-look US is a useful diagnostic tool for lesions incidentally detected on breast MRI, as in this study, it could identify 86.8% of the MRI-detected breast lesions. PMID:25623054

  20. Types of Breast Cancers

    MedlinePlus

    ... the key statistics about breast cancer? Types of breast cancers Breast cancer can be separated into different types ... than invasive ductal carcinoma. Less common types of breast cancer Inflammatory breast cancer This uncommon type of invasive ...

  1. Breast cancer.

    PubMed

    Pearce, Lynne

    2016-08-17

    Essential facts Breast cancer is the most common cancer in the UK, with around 60,000 new cases diagnosed each year, according to the charity Breast Cancer Care. Over a lifetime, women have a one in eight risk of developing it. PMID:27533387

  2. Detection of Human Papillomavirus Genotypes and Major BRCA Mutations in Familial Breast Cancer.

    PubMed

    Mohtasebi, Parinaz; Rassi, Hossein; Maleki, Fatemeh; Hajimohammadi, Sameh; Bagheri, Zahra; Fakhar Miandoab, Malihe; Naserbakht, Mahdieh

    2016-06-01

    Breast cancer is a multistep disease and infection with a DNA virus could play a role in one or more of the steps in this pathogenic process. High-risk human papillomaviruses (HPVs) are the causative agents of several cancers. In this study, we investigated HPV genotypes associated with breast cancer and its relationship with BRCA mutation for the detection of familial breast cancer. We analyzed 84 formalin-fixed, paraffin-embedded tissue blocks from 38 familial breast cancer and 46 nonfamilial breast cancer samples by multiplex polymerase chain reaction and clinical parameters. Overall prevalence of HPV infection was 27 of 84: 10 (37.03%) HPV-16, 9 (29.62%) HPV-18, 4 (14.81%) HPV-11, 1 (3.7%) HPV-31, 1 (3.7%) HPV-33, and 2 (7.4%) HPV35. Furthermore, 17 mtDNA4977 deletions and 5 5382insC mutations were detected from 38 familial breast cancer samples. Our results demonstrate that infection with HPV was prevalent among Iranian women with familial breast cancer and the testing of mtDNA4977 deletions and 5382insC mutations in combination with clinical parameters as major risk factors can serve in the identification of familial breast cancer. PMID:27186947

  3. Three-dimensional photoacoustic imaging system in line confocal mode for breast cancer detection

    NASA Astrophysics Data System (ADS)

    Ye, Fei; Yang, Sihua; Xing, Da

    2010-11-01

    We present a three-dimensional (3-D) photoacoustic imaging system (PAIS) in line confocal mode for breast cancer detection. With the line confocal mode, the spatial resolution of the PAIS was tested to be improved about three times compared with the nonconfocal mode PAIS. Furthermore, with a flexible scanning system and no compression on the breast, the PAIS could supply a comfortable and safe diagnosis process for the patient. An ex vivo breast tumor imaging experiment was performed and the tumor was visualized by the 3-D photoacoustic image. The experimental result demonstrated that the system had great potential of application in breast cancer detection.

  4. [Binding capability of lidamycin apoprotein to human breast cancer detected by tissue microarrays].

    PubMed

    Cai, Lin; Gao, Rui-Juan; Guo, Xiao-Zhong; Li, Yi; Zhen, Yong-Su

    2010-05-01

    This study is to investigate the binding capability of lidamycin apoprotein (LDP), an enediyne-associated apoprotein of the chromoprotein antitumor antibiotic family, to human breast cancer and normal tissues, the correlation of LDP binding capability to human breast cancer tissues and the expression of tumor therapeutic targets such as VEGF and HER2. In this study, the binding capability of LDP to human breast cancer tissues was detected with tissue microarray. The correlation study of LDP binding capability to human breast tumor tissues and relevant therapeutic targets was performed on breast cancer tissue microarrays. Immunocytochemical examination was used to detect the binding capability of LDP to human breast carcinoma MCF-7 cells. As a result, tissue microarray showed that LDP staining of 73.2% (30/41) of breast cancer tissues was positive, whereas that of 48.3% (15/31) of the adjacent normal breast specimens was positive. The difference between the tumor and normal samples was significant (Chi2 = 4.63, P < 0.05). LDP immunoreactivity in breast cancer correlated significantly with the overexpression of VEGF and HER2 (P < 0.001 and < 0.01, r = 0.389 and 0.287, respectively). Determined with confocal immunofluorescent analysis, LDP showed the binding capability to mammary carcinoma MCF-7 cells. It is demonstrated that LDP can bind to human breast cancer tissues and there is significant difference between the breast cancer tissues and the corresponding normal tissues. Notably, the binding reactivity shows positive correlation with the expression of VEGF and HER2 in breast carcinoma tissues. The results imply that LDP may have a potential use as targeting drug carrier in the research and development of new anticancer therapeutics. This study may provide reference for drug combination of LDM and other therapeutic agents. PMID:20931759

  5. Detection, isolation, and capture of circulating breast cancer cells with photoacoustic flow cytometry

    NASA Astrophysics Data System (ADS)

    Bhattacharyya, Kiran; Njoroge, Martin; Goldschmidt, Benjamin S.; Gaffigan, Brian; Rood, Kyle; Viator, John A.

    2013-03-01

    According to the CDC, breast cancer is the most common cancer and the second leading cause of cancer related deaths among women. Metastasis, or the presence of secondary tumors caused by the spread of cancer cells via the circulatory or lymphatic systems, significantly worsens the prognosis of any breast cancer patient. In this study, a technique is developed to detect circulating breast cancer cells in human blood using a photoacoustic flow cytometry method. A Q-switched laser with a 5 ns pulse at 532 nm is used to interrogate thousands of cells with one pulse as they flow through the beam path. Cells which are pigmented, either naturally or artificially, emit an ultrasound wave as a result of the photoacoustic (PA) effect. Breast cancer cells are targeted with chromophores through immunochemistry in order to provide pigment. After which, the device is calibrated to demonstrate a single-cell detection limit. Cultured breast cancer cells are added to whole blood to reach a biologically relevant concentration of about 25-45 breast cancer cells per 1 mL of blood. An in vitro photoacoustic flow cytometer is used to detect and isolate these cells followed by capture with the use of a micromanipulator. This method can not only be used to determine the disease state of the patient and the response to therapy, it can also be used for genetic testing and in vitro drug trials since the circulating cell can be captured and studied.

  6. Application of Protein Microarrays for Multiplexed Detection of Antibodies to Tumor Antigens in Breast Cancer

    PubMed Central

    Anderson, Karen S.; Ramachandran, Niroshan; Wong, Jessica; Raphael, Jacob V.; Hainsworth, Eugenie; Demirkan, Gokhan; Cramer, Daniel; Aronzon, Diana; Hodi, F. Stephen; Harris, Lyndsay; Logvinenko, Tanya; LaBaer, Joshua

    2012-01-01

    There is strong preclinical evidence that cancer, including breast cancer, undergoes immune surveillance. This continual monitoring, by both the innate and the adaptive immune systems, recognizes changes in protein expression, mutation, folding, glycosylation, and degradation. Local immune responses to tumor antigens are amplified in draining lymph nodes, and then enter the systemic circulation. The antibody response to tumor antigens, such as p53 protein, are robust, stable, and easily detected in serum, may exist in greater concentrations than their cognate antigens, and are potential highly specific biomarkers for cancer. However, antibodies have limited sensitivities as single analytes, and differences in protein purification and assay characteristics have limited their clinical application. For example, p53 autoantibodies in the sera are highly specific for cancer patients, but are only detected in the sera of 10-20% of patients with breast cancer. Detection of p53 autoantibodies is dependent on tumor burden, p53 mutation, rapidly decreases with effective therapy, but is relatively independent of breast cancer subtype. Although antibodies to hundreds of other tumor antigens have been identified in the sera of breast cancer patients, very little is known about the specificity and clinical impact of the antibody immune repertoire to breast cancer. Recent advances in proteomic technologies have the potential for rapid identification of immune response signatures for breast cancer diagnosis and monitoring. We have adapted programmable protein microarrays for the specific detection of autoantibodies in breast cancer. Here, we present the first demonstration of the application of programmable protein microarray ELISAs for the rapid identification of breast cancer autoantibodies. PMID:18311903

  7. Breast Cancer Overview

    MedlinePlus

    ... Breast Cancer - Overview Request Permissions Print to PDF Breast Cancer - Overview Approved by the Cancer.Net Editorial Board , ... bean-shaped organs that help fight infection. About breast cancer Cancer begins when healthy cells in the breast ...

  8. A Community-Oriented Approach to Breast Cancer in a Low-Resource Setting: Improving Awareness, Early Detection and Treatment of Breast Cancer in Tajikistan.

    PubMed

    Talib, Zohray; Shukurbekova, Irina; Sadonshoeva, Guldarbogh; Alibekov, Alibek; Jamshedov, Nekruz; Moloo, Zahir; Welji, Almas; Amersi, Farin; Muhammad, Aliya Amin; Jiwani, Aliya; Rais, Sheliza; Nazrishoeva, Akoyat; Ilnazarova, Surayo; Nuridinova, Shifo; Ukani, Hafiza; Alwani, Shireen; Saleh, Mansoor

    2016-05-01

    Breast cancer is one of the most common cancers and causes of death in females in Tajikistan; yet less than half of the adult women in Tajikistan have heard of breast cancer. Limited access to health care contributes to late stage presentation. We developed a public-private partnership to implement a breast cancer awareness intervention in a low-resource community in Khorog, Tajikistan. We trained local health professionals in clinical breast care and conducted a breast cancer screening and treatment program. The partnership involved visiting USA-based health professionals working alongside local health care providers (HCP) in the continuum of breast care-from education to the diagnostic evaluation and management of detected breast abnormalities. Patient data were collected using a web-based program (VirtualDoc). Twenty-four HCP received didactic and clinical breast examination training. 441 women underwent clinical breast evaluation. 74 (17%) had abnormal exams and underwent additional diagnostic procedures. We identified six (1.4%) cases of breast cancer (all locally advanced) and two women had benign fibroadenomas. All women with cancer underwent modified radical mastectomy, while the fibroadenomas were treated by cosmetically appropriate lumpectomy. Five of six subjects with cancer were previously aware of their breast lump and three had recently seen a family medicine (FM) doctor. Health systems assessment revealed availability of diagnostic equipment but lack of well-trained operators and clinician interpreters. We were successful in integrating clinical breast exams into the routine care of female patients by local FM doctors and in the process, achieved a better understanding of existing risk factors and barriers to breast cancer care. This public-private partnership, leveraging the technical expertise of visiting health professionals, demonstrates how a focused onsite training and awareness program can provide sustained improvements in breast care in a low

  9. Promoting Physician Preventive Practices: Needs Assessment for CME in Breast Cancer Detection.

    ERIC Educational Resources Information Center

    Lane, Dorothy S.; Burg, Mary Ann

    1989-01-01

    Needs assessment for a continuing medical education (CME) intervention directed at increasing breast cancer screening of women over 50 included a survey of target primary care physicians (n=323) to explore areas of interest for CME in breast care detection and to establish baseline screening practices. A survey of 1,440 women in the target age…

  10. Gene expression profiling of peripheral blood cells for early detection of breast cancer

    PubMed Central

    2010-01-01

    Introduction Early detection of breast cancer is key to successful treatment and patient survival. We have previously reported the potential use of gene expression profiling of peripheral blood cells for early detection of breast cancer. The aim of the present study was to refine these findings using a larger sample size and a commercially available microarray platform. Methods Blood samples were collected from 121 females referred for diagnostic mammography following an initial suspicious screening mammogram. Diagnostic work-up revealed that 67 of these women had breast cancer while 54 had no malignant disease. Additionally, nine samples from six healthy female controls were included. Gene expression analyses were conducted using high density oligonucleotide microarrays. Partial Least Squares Regression (PLSR) was used for model building while a leave-one-out (LOO) double cross validation approach was used to identify predictors and estimate their prediction efficiency. Results A set of 738 probes that discriminated breast cancer and non-breast cancer samples was identified. By cross validation we achieved an estimated prediction accuracy of 79.5% with a sensitivity of 80.6% and a specificity of 78.3%. The genes deregulated in blood of breast cancer patients are related to functional processes such as defense response, translation, and various metabolic processes, such as lipid- and steroid metabolism. Conclusions We have identified a gene signature in whole blood that classifies breast cancer patients and healthy women with good accuracy supporting our previous findings. PMID:20078854

  11. Simulations and phantom evaluations of magnetic resonance electrical impedance tomography (MREIT) for breast cancer detection

    NASA Astrophysics Data System (ADS)

    Sadleir, Rosalind J.; Sajib, Saurav Z. K.; Kim, Hyung Joong; Kwon, Oh In; Woo, Eung Je

    2013-05-01

    MREIT is a new imaging modality that can be used to reconstruct high-resolution conductivity images of the human body. Since conductivity values of cancerous tissues in the breast are significantly higher than those of surrounding normal tissues, breast imaging using MREIT may provide a new noninvasive way of detecting early stage of cancer. In this paper, we present results of experimental and numerical simulation studies of breast MREIT. We built a realistic three-dimensional model of the human breast connected to a simplified model of the chest including the heart and evaluated the ability of MREIT to detect cancerous anomalies in a background material with similar electrical properties to breast tissue. We performed numerical simulations of various scenarios in breast MREIT including assessment of the effects of fat inclusions and effects related to noise levels, such as changing the amplitude of injected currents, effect of added noise and number of averages. Phantom results showed straightforward detection of cancerous anomalies in a background was possible with low currents and few averages. The simulation results showed it should be possible to detect a cancerous anomaly in the breast, while restricting the maximal current density in the heart below published levels for nerve excitation.

  12. Detecting and treating breast cancer resistance to EGFR inhibitors

    DOEpatents

    Moonlee, Sun-Young; Bissell, Mina J.; Furuta, Saori; Meier, Roland; Kenny, Paraic A.

    2016-04-05

    The application describes therapeutic compositions and methods for treating cancer. For example, therapeutic compositions and methods related to inhibition of FAM83A (family with sequence similarity 83) are provided. The application also describes methods for diagnosing cancer resistance to EGFR inhibitors. For example, a method of diagnosing cancer resistance to EGFR inhibitors by detecting increased FAM83A levels is described.

  13. Application of Canonical Correlation Analysis for Detecting Risk Factors Leading to Recurrence of Breast Cancer

    PubMed Central

    Sadoughi, Farahnaz; Lotfnezhad Afshar, Hadi; Olfatbakhsh, Asiie; Mehrdad, Neda

    2016-01-01

    Background: Advances in treatment options of breast cancer and development of cancer research centers have necessitated the collection of many variables about breast cancer patients. Detection of important variables as predictors and outcomes among them, without applying an appropriate statistical method is a very challenging task. Because of recurrent nature of breast cancer occurring in different time intervals, there are usually more than one variable in the outcome set. For the prevention of this problem that causes multicollinearity, a statistical method named canonical correlation analysis (CCA) is a good solution. Objectives: The purpose of this study was to analyze the data related to breast cancer recurrence of Iranian females using the CCA method to determine important risk factors. Patients and Methods: In this cross-sectional study, data of 584 female patients (mean age of 45.9 years) referred to Breast Cancer Research Center (Tehran, Iran) were analyzed anonymously. SPSS and NORM softwares (2.03) were used for data transformation, running and interpretation of CCA and replacing missing values, respectively. Data were obtained from Breast Cancer Research Center, Tehran, Iran. Results: Analysis showed seven important predictors resulting in breast cancer recurrence in different time periods. Family history and loco-regional recurrence more than 5 years after diagnosis were the most important variables among predictors and outcomes sets, respectively. Conclusions: Canonical correlation analysis can be used as a useful tool for management and preparing of medical data for discovering of knowledge hidden in them. PMID:27231580

  14. Detection of Cancer DNA in Plasma of Early Stage Breast Cancer Patients

    PubMed Central

    Balukrishna, Sasidharan; Cochran, Rory; Croessmann, Sarah; Zabransky, Daniel J.; Wong, Hong Yuen; Toro, Patricia Valda; Cidado, Justin; Blair, Brian G.; Chu, David; Burns, Timothy; Higgins, Michaela J.; Stearns, Vered; Jacobs, Lisa; Habibi, Mehran; Lange, Julie; Hurley, Paula J.; Lauring, Josh; VanDenBerg, Dustin; Kessler, Jill; Jeter, Stacie; Samuels, Michael L.; Maar, Dianna; Cope, Leslie; Cimino-Mathews, Ashley; Argani, Pedram; Wolff, Antonio C.; Park, Ben H.

    2014-01-01

    Purpose Detecting circulating plasma tumor DNA (ptDNA) in early stage cancer patients has the potential to change how oncologists recommend systemic therapies for solid tumors after surgery. Droplet digital polymerase chain reaction (ddPCR) is a novel sensitive and specific platform for mutation detection. Experimental Design In this prospective study, primary breast tumors and matched pre- and post-surgery blood samples were collected from early stage breast cancer patients (n=29). Tumors (n=30) were analyzed by Sanger sequencing for common PIK3CA mutations, and DNA from these tumors and matched plasma were then analyzed for PIK3CA mutations using ddPCR. Results Sequencing of tumors identified seven PIK3CA exon 20 mutations (H1047R) and three exon 9 mutations (E545K). Analysis of tumors by ddPCR confirmed these mutations and identified five additional mutations. Pre-surgery plasma samples (n=29) were then analyzed for PIK3CA mutations using ddPCR. Of the fifteen PIK3CA mutations detected in tumors by ddPCR, fourteen of the corresponding mutations were detected in pre-surgical ptDNA, while no mutations were found in plasma from patients with PIK3CA wild type tumors (sensitivity 93.3%, specificity 100%). Ten patients with mutation positive ptDNA pre-surgery had ddPCR analysis of post-surgery plasma, with five patients having detectable ptDNA post-surgery. Conclusions This prospective study demonstrates accurate mutation detection in tumor tissues using ddPCR, and that ptDNA can be detected in blood before and after surgery in early stage breast cancer patients. Future studies can now address whether ptDNA detected after surgery identifies patients at risk for recurrence, which could guide chemotherapy decisions for individual patients. PMID:24504125

  15. Developing a discrete choice experiment in Malawi: eliciting preferences for breast cancer early detection services

    PubMed Central

    Kohler, Racquel E; Lee, Clara N; Gopal, Satish; Reeve, Bryce B; Weiner, Bryan J; Wheeler, Stephanie B

    2015-01-01

    Background In Malawi, routine breast cancer screening is not available and little is known about women’s preferences regarding early detection services. Discrete choice experiments are increasingly used to reveal preferences about new health services; however, selecting appropriate attributes that describe a new health service is imperative to ensure validity of the choice experiment. Objective To identify important factors that are relevant to Malawian women’s preferences for breast cancer detection services and to select attributes and levels for a discrete choice experiment in a setting where both breast cancer early detection and choice experiments are rare. Methods We reviewed the literature to establish an initial list of potential attributes and levels for a discrete choice experiment and conducted qualitative interviews with health workers and community women to explore relevant local factors affecting decisions to use cancer detection services. We tested the design through cognitive interviews and refined the levels, descriptions, and designs. Results Themes that emerged from interviews provided critical information about breast cancer detection services, specifically, that breast cancer interventions should be integrated into other health services because asymptomatic screening may not be practical as an individual service. Based on participants’ responses, the final attributes of the choice experiment included travel time, health encounter, health worker type and sex, and breast cancer early detection strategy. Cognitive testing confirmed the acceptability of the final attributes, comprehension of choice tasks, and women’s abilities to make trade-offs. Conclusion Applying a discrete choice experiment for breast cancer early detection was feasible with appropriate tailoring for a low-income, low-literacy African setting. PMID:26508842

  16. miRNAs as potential biomarkers in early breast cancer detection following mammography.

    PubMed

    Fu, Sidney W; Lee, Woojin; Coffey, Caitrin; Lean, Alexa; Wu, Xiaoling; Tan, Xiaohui; Man, Yan-Gao; Brem, Rachel F

    2016-01-01

    Breast cancer is the most common cancer among American women, except for skin cancers. About 12 % women in the United States will develop invasive breast cancer during their lifetime. Currently one of the most accepted model/theories is that ductal breast cancer (most common type of breast cancer) follows a linear progression: from normal breast epithelial cells to ductal hyperplasia to atypical ductal hyperplasia (ADH) to ductal carcinoma in situ (DCIS), and finally to invasive ductal carcinoma (IDC). Distinguishing pure ADH diagnosis from DCIS and/or IDC on mammography, and even combined with follow-up core needle biopsy (CNB) is still a challenge. Therefore subsequent surgical excision cannot be avoided to make a definitive diagnosis. MicroRNAs (miRNAs) are a highly abundant class of endogenous non-coding RNAs, which contribute to cancer initiation and progression, and are differentially expressed between normal and cancer tissues. They can function as either tumor suppressors or oncogenes. With accumulating evidence of the role of miRNAs in breast cancer progression, including our own studies, we sought to summarize the nature of early breast lesions and the potential use of miRNA molecules as biomarkers in early breast cancer detection. In particular, miRNA biomarkers may potentially serve as a companion tool following mammography screening and CNB. In the long-term, a better understanding of the molecular mechanisms underlying the miRNA signatures associated with breast cancer development could potentially result in the development of novel strategies for disease prevention and therapy. PMID:26819702

  17. Development of a novel approach for breast cancer prediction and early detection using minimally invasive procedures and molecular analysis: how cytomorphology became a breast cancer risk predictor.

    PubMed

    Masood, Shahla

    2015-01-01

    With enhanced public awareness, advances in breast imaging, and emphasis on early breast cancer detection and prevention, more women are seeking consultation to assess the status of their breast health. Risk assessment has become an integral part of established multi-disciplinary breast care, and breast cancer risk reduction interventions have received a great deal of attention. Similarly, interest in identification of high-risk individuals has increased significantly. Atypical proliferative changes in breast epithelial cells are ranked high among various known breast cancer risk factors and, in recent years, have been the subject of several investigations. Breast tissue and fluid in the ductal system provide a rich source of cells and biomarkers that have the potential to aid in the assessment of short-term risk of breast cancer development, and assess responses to interventional prevention efforts. There are three minimally invasive procedures currently being utilized to sample breast tissue in asymptomatic high-risk individuals. These procedures are: fine-needle aspiration biopsy, nipple aspiration fluid, and ductal lavage. In this review article, the merits and limitations of each procedure are presented, and the contribution of cytomorphology and molecular analysis in breast cancer prediction is highlighted. In addition, the role of Masood Cytology Index as a surrogate endpoint biomarker in chemopreventative trials is discussed. PMID:25556774

  18. MRI detection of breast cancer micrometastases with a fibronectin-targeting contrast agent

    PubMed Central

    Zhou, Zhuxian; Qutaish, Mohammed; Han, Zheng; Schur, Rebecca M.; Liu, Yiqiao; Wilson, David L.; Lu, Zheng-Rong

    2015-01-01

    Metastasis is the primary cause of death in breast cancer patients. Early detection of high-risk breast cancer, including micrometastasis, is critical in tailoring appropriate and effective interventional therapies. Increased fibronectin expression, a hallmark of epithelial-to-mesenchymal transition, is associated with high-risk breast cancer and metastasis. We have previously developed a penta-peptide CREKA (Cys-Arg-Glu-Lys-Ala)-targeted gadolinium-based magnetic resonance imaging (MRI) contrast agent, CREKA-Tris(Gd-DOTA)3 (Gd-DOTA (4,7,10-tris(carboxymethyl)-1,4,7,10-tetraazacyclododecyl gadolinium), which binds to fibrin–fibronectin complexes that are abundant in the tumour microenvironment of fast-growing breast cancer. Here we assess the capability of CREKA-Tris(Gd-DOTA)3 to detect micrometastasis with MRI in co-registration with high-resolution fluorescence cryo-imaging in female mice bearing metastatic 4T1 breast tumours. We find that CREKA-Tris(Gd-DOTA)3 provides robust contrast enhancement in the metastatic tumours and enables the detection of micrometastases of size <0.5 mm, extending the detection limit of the current clinical imaging modalities. These results demonstrate that molecular MRI with CREKA-Tris(Gd-DOTA)3 may facilitate early detection of high-risk breast cancer and micrometastasis in the clinic. PMID:26264658

  19. AGR3 in Breast Cancer: Prognostic Impact and Suitable Serum-Based Biomarker for Early Cancer Detection

    PubMed Central

    Garczyk, Stefan; von Stillfried, Saskia; Antonopoulos, Wiebke; Hartmann, Arndt; Schrauder, Michael G.; Fasching, Peter A.; Anzeneder, Tobias; Tannapfel, Andrea; Ergönenc, Yavuz; Knüchel, Ruth

    2015-01-01

    Blood-based early detection of breast cancer has recently gained novel momentum, as liquid biopsy diagnostics is a fast emerging field. In this study, we aimed to identify secreted proteins which are up-regulated both in tumour tissue and serum samples of breast cancer patients compared to normal tissue and sera. Based on two independent tissue cohorts (n = 75 and n = 229) and one serum cohort (n = 80) of human breast cancer and healthy serum samples, we characterised AGR3 as a novel potential biomarker both for breast cancer prognosis and early breast cancer detection from blood. AGR3 expression in breast tumours is significantly associated with oestrogen receptor α (P<0.001) and lower tumour grade (P<0.01). Interestingly, AGR3 protein expression correlates with unfavourable outcome in low (G1) and intermediate (G2) grade breast tumours (multivariate hazard ratio: 2.186, 95% CI: 1.008-4.740, P<0.05) indicating an independent prognostic impact. In sera analysed by ELISA technique, AGR3 protein concentration was significantly (P<0.001) elevated in samples from breast cancer patients (n = 40, mainly low stage tumours) compared to healthy controls (n = 40). To develop a suitable biomarker panel for early breast cancer detection, we measured AGR2 protein in human serum samples in parallel. The combined AGR3/AGR2 biomarker panel achieved a sensitivity of 64.5% and a specificity of 89.5% as shown by receiver operating characteristic (ROC) curve statistics. Thus our data clearly show the potential usability of AGR3 and AGR2 as biomarkers for blood-based early detection of human breast cancer. PMID:25875093

  20. Novel Methylated Biomarkers and a Robust Assay to Detect Circulating Tumor DNA in Metastatic Breast Cancer

    PubMed Central

    Fackler, Mary Jo; Bujanda, Zoila Lopez; Umbricht, Christopher; Teo, Wei Wen; Cho, Soonweng; Zhang, Zhe; Visvanathan, Kala; Jeter, Stacie; Argani, Pedram; Wang, Chenguang; Lyman, Jaclyn P.; de Brot, Marina; Ingle, James N.; Boughey, Judy; McGuire, Kandace; King, Tari A.; Carey, Lisa A.; Cope, Leslie; Wolff, Antonio C.; Sukumar, Saraswati

    2015-01-01

    The ability to consistently detect cell-free tumor-specific DNA in peripheral blood of patients with metastatic breast cancer provides the opportunity to detect changes in tumor burden and to monitor response to treatment. We developed cMethDNA, a quantitative multiplexed methylation-specific PCR assay for a panel of ten genes, consisting of novel and known breast cancer hypermethylated markers identified by mining our previously reported study of DNA methylation patterns in breast tissue (103 cancer, 21 normal on the Illumina HumanMethylation27 Beadchip) and then validating the 10-gene panel in a TCGA breast cancer methylome database. For cMethDNA, a fixed physiological level (50 copies) of artificially constructed, standard non-human reference DNA specific for each gene is introduced into in a constant volume of serum (300 μl) prior to purification of the DNA, facilitating a sensitive, specific, robust and quantitative assay of tumor DNA, with broad dynamic range. Cancer-specific methylated DNA was detected in Training (28 normal, 24 cancer) and Test (27 normal, 33 cancer) sets of recurrent Stage 4 patient sera with a sensitivity of 91% and a specificity of 96% in the test set. In a pilot study, cMethDNA assay faithfully reflected patient response to chemotherapy (N = 29). A core methylation signature present in the primary breast cancer was retained in serum and metastatic tissues collected at autopsy 2–11 years after diagnosis of the disease. Together, our data suggest that the cMethDNA assay can detect advanced breast cancer, and monitor tumor burden and treatment response in women with metastatic breast cancer. PMID:24737128

  1. Immunohistochemical detection of ERβ in breast cancer: towards more detailed receptor profiling?

    PubMed Central

    Skliris, G P; Carder, P J; Lansdown, M R J; Speirs, V

    2001-01-01

    Oestrogen receptor (ER) is used routinely to predict endocrine responsiveness in patients with breast cancer. A second ER, ERβ has been described but its significance remains undefined; most studies have described mRNA levels rather than protein expression. Here, we demonstrate for the first time, immunohistochemical detection of ERβ in archival breast tumours. © 2001 Cancer Research Campaignhttp://www.bjcancer.com PMID:11308260

  2. Breast cancer

    MedlinePlus

    ... chance that you could develop breast cancer: Some risk factors you can control, such as drinking alcohol. Others, such as family history, you cannot control. The more risk factors you have, the more your risk increases. ...

  3. Surgery for Breast Cancer

    MedlinePlus

    ... Next Topic Breast-conserving surgery (lumpectomy) Surgery for breast cancer Most women with breast cancer have some type ... Relieve symptoms of advanced cancer Surgery to remove breast cancer There are two main types of surgery to ...

  4. Learning about Breast Cancer

    MedlinePlus

    ... genetic terms used on this page Learning About Breast Cancer What do we know about heredity and breast ... Cancer What do we know about heredity and breast cancer? Breast cancer is a common disease. Each year, ...

  5. 6 Common Cancers - Breast Cancer

    MedlinePlus

    ... Home Current Issue Past Issues 6 Common Cancers - Breast Cancer Past Issues / Spring 2007 Table of Contents ... slow her down. Photo: AP Photo/Brett Flashnick Breast Cancer Breast cancer is a malignant (cancerous) growth ...

  6. 6 Common Cancers - Breast Cancer

    MedlinePlus

    ... Bar Home Current Issue Past Issues 6 Common Cancers - Breast Cancer Past Issues / Spring 2007 Table of Contents For ... her down. Photo: AP Photo/Brett Flashnick Breast Cancer Breast cancer is a malignant (cancerous) growth that ...

  7. Breast cancer and protein biomarkers

    PubMed Central

    Gam, Lay-Harn

    2012-01-01

    Breast cancer is a healthcare concern of women worldwide. Despite procedures being available for diagnosis, prognosis and treatment of breast cancer, researchers are working intensively on the disease in order to improve the life quality of breast cancer patients. At present, there is no single treatment known to bring a definite cure for breast cancer. One of the possible solutions for combating breast cancer is through identification of reliable protein biomarkers that can be effectively used for early detection, prognosis and treatments of the cancer. Therefore, the task of identification of biomarkers for breast cancer has become the focus of many researchers worldwide. PMID:24520539

  8. Breast Cancer Detection by B7-H3 Targeted Ultrasound Molecular Imaging

    PubMed Central

    Bachawal, Sunitha V.; Jensen, Kristin C.; Wilson, Katheryne E.; Tian, Lu; Lutz, Amelie M.; Willmann, Jürgen K.

    2015-01-01

    Ultrasound complements mammography as an imaging modality for breast cancer detection, especially in patients with dense breast tissue, but its utility is limited by low diagnostic accuracy. One emerging molecular tool to address this limitation involves contrast-enhanced ultrasound using microbubbles targeted to molecular signatures on tumor neovasculature. In this study, we illustrate how tumor vascular expression of B7-H3 (CD276), a member of the B7 family of ligands for T cell co-regulatory receptors, can be incorporated into an ultrasound method that can distinguish normal, benign, precursor and malignant breast pathologies for diagnostic purposes. Through an immunohistochemical analysis of 248 human breast specimens, we found that vascular expression of B7-H3 was selectively and significantly higher in breast cancer tissues. B7-H3 immunostaining on blood vessels distinguished benign/precursors from malignant lesions with high diagnostic accuracy in human specimens. In a transgenic mouse model of cancer, the B7-H3-targeted ultrasound imaging signal was increased significantly in breast cancer tissues and highly correlated with ex vivo expression levels of B7-H3 on quantitative immunofluorescence. Our findings offer a preclinical proof of concept for the use of B7-H3-targeted ultrasound molecular imaging as a tool to improve the diagnostic accuracy of breast cancer detection in patients. PMID:25899053

  9. Breast cancer detection among young survivors of pediatric Hodgkin lymphoma with screening magnetic resonance imaging

    PubMed Central

    Tieu, Minh Thi; Cigsar, Candemir; Ahmed, Sameera; Ng, Andrea; Diller, Lisa; Millar, B-A; Crystal, Pavel; Hodgson, David C

    2014-01-01

    BACKGROUND Female survivors of pediatric Hodgkin lymphoma (HL) who have received chest radiotherapy are at increased risk of breast cancer. Guidelines for early breast cancer screening among these survivors are based on little data regarding clinical outcomes. This study reports outcomes of breast cancer screening with MRI and mammography (MMG) after childhood HL. METHODS We evaluated the results of breast MRI and MMG screening among 96 female survivors of childhood HL treated with chest radiotherapy. Outcomes measured included imaging sensitivity and specificity, breast cancer characteristics, and incidence of additional imaging and breast biopsy. RESULTS Median age at first screening was 30 years, and the median number of MRI screening rounds was 3. Ten breast cancers were detected in 9 women at a median age of 39 years (range, 24-43 years). Half were invasive and half were preinvasive. The median size of invasive tumors was 8 mm (range, 3-15 mm), and none had lymph node involvement. Sensitivity and specificity of the screening modalities were as follows: for MRI alone, 80% and 93.5%, respectively; MMG alone, 70% and 95%, respectively; both modalities combined, 100% and 88.6%, respectively. All invasive tumors were detected by MRI. Additional investigations were required in 52 patients, (54%), and 26 patients (27%) required breast biopsy, with 10 patients requiring more than 1 biopsy. CONCLUSIONS Screening including breast MRI with MMG has high sensitivity and specificity in pediatric HL survivors, with breast cancers detected at an early stage, although it is associated with a substantial rate of additional investigations. Cancer 2014;120:2507–2513. © 2014 The Authors. Cancer published by Wiley Periodicals, Inc. on behalf of American Cancer Society. Screening female survivors of pediatric Hodgkin Lymphoma for breast cancer with MRI and mammography detected tumors at an earlier stage than prior studies of mammography alone, although a substantial proportion of

  10. Overview of the evidence on digital breast tomosynthesis in breast cancer detection.

    PubMed

    Houssami, Nehmat; Skaane, Per

    2013-04-01

    Digital breast tomosynthesis (DBT, or 3D-mammography), a three-dimensional derivative of digital mammography (DM), reduces the effect of tissue superimposition and may improve mammographic interpretation. In this review, we examined the evidence on the accuracy of DBT in clinical studies. Published studies of DBT were relatively small studies, mostly test-set observer (reader) studies or clinical series that included symptomatic and screen-recalled cases, and were generally enriched with cancers. With these limitations in mind, the evidence showed some consistent findings, summarized as follows: two-view DBT has at least equal or better accuracy than standard two-view DM, whereas one-view DBT does not have better accuracy than standard DM; the addition of DBT to standard mammography (for mammographic interpretation or for assessment or triage of screen-recalled abnormalities) increases accuracy; improved accuracy from using DBT (relative to, or added to, DM) may be due to increased cancer detection or due to reduced false positive recalls, or both; and subjective interpretation of cancer conspicuity consistently found that cancers were equally or more conspicuous on DBT relative to DM. Preliminary data from population screening trials suggest that the integration of DBT with conventional DM (screen-reading using combined 2D + 3D mammography) may substantially improve breast cancer detection, although final results are not yet available, and many logistical issues need further evaluation to determine the potential implications and cost of combined 2D + 3D mammographic screening. At present, there is insufficient evidence to justify a change from standard DM to DBT however the available data strongly support investment in new large-scale population screening trials. These trials need to avoid the 'double' acquisitions required for 2D + 3D mammograms, and should therefore focus on evaluating integrated 2Dsynthetic + 3D mammography (where 2D-images are

  11. Optical detection of breast cancer: a pilot clinical trial at the Massachusetts General Hospital

    NASA Astrophysics Data System (ADS)

    Cheng, Xuefeng; Mao, Jian M.; Zhu, Wen; Bush, Robin; Kopans, Daniel B.; Moore, Richard H.; Chorlton, Maryann

    2003-06-01

    X-ray mammography has been the major imaging modality in breast cancer detection for years, despite its high false diagnosis rate for malignant tumors and harmful radiation. In the last decade, optical imaging has been emerging as a promising method for breast cancer detection. Using near infrared (NIR) light ranging from 690 nm to 900 nm, an optical device can measure functional properties of breast tissue, such as total hemoglobin concentration (HbT) and oxygen saturation (SO2). Cancers tend to have higher levels of HbT because of their greater vascularization, and lower SO2 because of greater oxygen consumption, than normal tissue. Thus the NIR technology could be useful in breast cancer detection. In addition, optical detection is totally noninvasive and safe, and can be low cost. Photonify Technologies Inc. has developed an optical device for real-time two-dimensional mapping of HbT and SO2 in breast tissue. The device has been tested in a pilot clinical study for a group of 50 patients at the Department of Radiology of the Masachusetts General Hospital at Harvard Medical School. Preliminary results suggest that contrast-normalized standard deviations in HbT and SO2 might be good indicators for breast cancer detection. A patient may have a higher risk to have cancer in a breast portion where the normalized standard deviation in either HbT or SO2 is greater than 0.3. We demonstrate 92% diagnostic sensitivity and 66% specificity in detecting ductal carcinoma, either invasive or in situ. The device may potentially be used as an adjunctive tool with mammography to reduce unnecessary biopsies.

  12. Measurement of bioelectric and acoustic profile of breast tissue using hybrid magnetoacoustic method for cancer detection.

    PubMed

    Salim, M I Mohamad; Supriyanto, E; Haueisen, J; Ariffin, I; Ahmad, A H; Rosidi, B

    2013-04-01

    This paper proposes a novel hybrid magnetoacoustic measurement (HMM) system aiming at breast cancer detection. HMM combines ultrasound and magnetism for the simultaneous assessment of bioelectric and acoustic profiles of breast tissue. HMM is demonstrated on breast tissue samples, which are exposed to 9.8 MHz ultrasound wave with the presence of a 0.25 Tesla static magnetic field. The interaction between the ultrasound wave and the magnetic field in the breast tissue results in Lorentz Force that produces a magnetoacoustic voltage output, proportional to breast tissue conductivity. Simultaneously, the ultrasound wave is sensed back by the ultrasound receiver for tissue acoustic evaluation. Experiments are performed on gel phantoms and real breast tissue samples harvested from laboratory mice. Ultrasound wave characterization results show that normal breast tissue experiences higher attenuation compared with cancerous tissue. The mean magnetoacoustic voltage results for normal tissue are lower than that for the cancerous tissue group. In conclusion, the combination of acoustic and bioelectric measurements is a promising approach for breast cancer diagnosis. PMID:23238828

  13. Current Approaches and Challenges in Early Detection of Breast Cancer Recurrence

    PubMed Central

    Schneble, Erika J.; Graham, Lindsey J.; Shupe, Matthew P.; Flynt, Frederick L.; Banks, Kevin P.; Kirkpatrick, Aaron D.; Nissan, Aviram; Henry, Leonard; Stojadinovic, Alexander; Shumway, Nathan M.; Avital, Itzhak; Peoples, George E.; Setlik, Robert F.

    2014-01-01

    Early detection of breast cancer recurrence is a key element of follow-up care and surveillance after completion of primary treatment. The goal is to improve survival by detecting and treating recurrent disease while potentially still curable assuming a more effective salvage surgery and treatment. In this review, we present the current guidelines for early detection of recurrent breast cancer in the adjuvant setting. Emphasis is placed on the multidisciplinary approach from surgery, medical oncology, and radiology with a discussion of the challenges faced within each setting. PMID:24790656

  14. Risks of Breast Cancer Screening

    MedlinePlus

    ... of Breast & Gynecologic Cancers Breast Cancer Screening Research Breast Cancer Screening (PDQ®)–Patient Version What is screening? Go ... cancer screening: Cancer Screening Overview General Information About Breast Cancer Key Points Breast cancer is a disease in ...

  15. Early Detection of Breast Cancer Using Autoantibody Markers — EDRN Public Portal

    Cancer.gov

    To identify large numbers of antigens that can be used to recognize the presence of cancer by detecting antibodies to tumor proteins in the serum of the test subjects. Our technology will provide an early detection test for breast cancer in asymptomatic women. We will use bioinformatics techniques to analyze these protein microarray-immunoassays to discriminate between cancer patients and healthy subjects so as to detect disease prior to standard diagnoses as well as discriminate patients with benign conditions or other cancers that might be a false positive in less specific assays.

  16. Detection of MAGE-A3 in breast cancer patients’ sentinel lymph nodes

    PubMed Central

    Wascher, R A; Bostick, P J; Huynh, K T; Turner, R; Qi, K; Giuliano, A E; Hoon, D S B

    2001-01-01

    The detection of occult metastatic breast cancer cells by RT-PCR is limited by the poor specificity of most tumour mRNA markers. MAGE-A3 is a highly specific tumour mRNA marker that is not expressed in non-cancer cells. This study assesses MAGE-A3 mRNA as a molecular marker for the detection of tumour cells in the sentinel lymph nodes (SLN) of breast cancer patients. Serial frozen sections of SLN (n= 121) were obtained from 77 AJCC (American Joint Committee on Cancer) Stage I–IIIA breast cancer patients. MAGE-A3 mRNA analysis of SLN was performed by RT-PCR and Southern blot analysis. Tumour cells were detected in 48 of 121 (40%) SLN from 77 patients by H&E or IHC staining, and 35 of 77 (45%) patients, overall, had histopathologically (H&E and/or IHC) positive SLN. Among histopathologically negative SLN, 28 of 73 (38%) SLN were MAGE-A3 mRNA positive by RT-PCR. Overall, 41 of 77 (53%) patients and 50 of 121 (41%) SLN were positive for MAGE-A3. MAGE-A3 mRNA expression in the SLN occurred more frequently with infiltrating lobular carcinoma (P< 0.001) than with infiltrating ductal carcinoma, adding further evidence of possible phenotypic differences between these 2 subtypes of breast cancer. Due to its high specificity, MAGE-A3 mRNA is a potentially useful marker for detecting breast cancer cells in the SLN. One half of breast tumours expressed MAGE-A3 mRNA, which has important potential implications for antigen-specific targeted immunotherapy. © 2001 Cancer Research Campaign PMID:11720472

  17. Assessing Detection, Discrimination, and Risk of Breast Cancer According to Anisotropy Parameters of Diffusion Tensor Imaging

    PubMed Central

    Jiang, Ruisheng; Zeng, Xiangmin; Sun, Shihang; Ma, Zhijun; Wang, Ximing

    2016-01-01

    Background The aim of this study was to investigate whether the anisotropy parameters are helpful in the detection and discrimination of breast cancers, and to determine its value in predicting the risk of cancers. Material/Methods There were 56 patients with 56 lesions (34 malignant, 22 benign) included in the study. DTI was performed in every patient and apparent diffusion coefficient (ADC), fractional anisotropy (FA), and eigenvalues E1, E2, and E3 were measured in every lesion and the normal breast tissue. Results ADC, FA, and eigenvalues of E1, E2, E3, and E1–E3 in breast cancers were all significantly lower than in normal tissue (P<0.001 for all) with mean reduction of (32±17)%, (24±13)%, (33±19)%, (32±17)%, (31±18)%, and (37±20)% for ADC, FA, E1, E2, E3, and E1–E3, respectively. These parameters were also statistically lower in cancers than in benign lesions (P<0.01 for all), except FA (P>0.05). ADC, E1, E2, and E3 were very similar in discriminating breast cancers and benign lesions, with area under the curve (AUC) 0.885–0.898, sensitivity 73.5–85.3%, and specificity 90.9–100%. Conclusions ADC, E1, E2, E3, and E1–E3 are much lower in breast cancers than in normal tissue and benign lesions. The reduction of ADC, E1, E2, E3, and E1–E3 of a mass in the breast is highly associated with the risk of breast cancer, but the FA has no utility in breast cancer risk prediction. PMID:27094307

  18. Time to diagnosis and treatment of breast cancer: results from the National Breast and Cervical Cancer Early Detection Program, 1991-1995.

    PubMed Central

    Caplan, L S; May, D S; Richardson, L C

    2000-01-01

    OBJECTIVES: This study examined times to diagnosis and treatment for medically underserved women screened for breast cancer. METHODS: Intervals from first positive screening test to diagnosis to initiation of treatment were determined for 1659 women 40 years and older diagnosed with breast cancer. RESULTS: Women with abnormal mammograms had shorter diagnostic intervals than women with abnormal clinical breast examinations and normal mammograms. Women with self-reported breast symptoms had shorter diagnostic intervals than asymptomatic women. Diagnostic intervals were less than 60 days in 78% of cases. Treatment intervals were generally 2 weeks or less. CONCLUSIONS: Most women diagnosed with breast cancer were followed up in a timely manner after screening. Further investigation is needed to identify and then address factors associated with longer diagnostic and treatment intervals to maximize the benefits of early detection. PMID:10630153

  19. 77 FR 60703 - Breast and Cervical Cancer Early Detection and Control Advisory Committee: Notice of Charter Renewal

    Federal Register 2010, 2011, 2012, 2013, 2014

    2012-10-04

    ... From the Federal Register Online via the Government Publishing Office DEPARTMENT OF HEALTH AND HUMAN SERVICES Centers for Disease Control and Prevention Breast and Cervical Cancer Early Detection and... Committee Act (Pub. L. 92-463) of October 6, 1972, that the Breast and Cervical Cancer Early Detection...

  20. Real-time Detection of Breast Cancer Cells Using Peptide-functionalized Microcantilever Arrays

    PubMed Central

    Etayash, Hashem; Jiang, Keren; Azmi, Sarfuddin; Thundat, Thomas; Kaur, Kamaljit

    2015-01-01

    Ligand-directed targeting and capturing of cancer cells is a new approach for detecting circulating tumor cells (CTCs). Ligands such as antibodies have been successfully used for capturing cancer cells and an antibody based system (CellSearch®) is currently used clinically to enumerate CTCs. Here we report the use of a peptide moiety in conjunction with a microcantilever array system to selectively detect CTCs resulting from cancer, specifically breast cancer. A sensing microcantilever, functionalized with a breast cancer specific peptide 18-4 (WxEAAYQrFL), showed significant deflection on cancer cell (MCF7 and MDA-MB-231) binding compared to when exposed to noncancerous (MCF10A and HUVEC) cells. The peptide-functionalized microcantilever allowed efficient capture and detection of cancer cells in MCF7 spiked human blood samples emulating CTCs in human blood. A detection limit of 50–100 cancer cells mL−1 from blood samples was achieved with a capture yield of 80% from spiked whole blood samples. The results emphasize the potential of peptide 18-4 as a novel peptide for capturing and detecting cancer cells in conjunction with nanomechanical cantilever platform. The reported peptide-based cantilever platform represents a new analytical approach that can lead to an alternative to the various detection platforms and can be leveraged to further study CTCs. PMID:26434765

  1. Intensified Surveillance for Early Detection of Breast Cancer in High-Risk Patients

    PubMed Central

    Bick, Ulrich

    2015-01-01

    Summary Efforts for early detection of breast cancer play an important role in the care of high-risk women. This will include both women with a pathological mutation in one of the known breast cancer susceptibility genes as well as women with a high breast cancer risk based on family history only. Due to the much higher incidence of breast cancer in premenopausal women with a genetic predisposition or a familial background, to be most effective, imaging-based breast surveillance should start at an age as early as 25–30 years. There is now ample evidence that magnetic resonance imaging (MRI) is by far the most sensitive imaging modality in young high-risk women. With high-risk multimodality screening at least 30% of breast cancers will be detected primarily by MRI and would have been missed at regular screening without MRI. Therefore, most high-risk breast surveillance programs now offer annual MRI to eligible high-risk women from age 25 to 30, usually supplemented by regular mammography starting at least from age 40. The inclusion of clinical breast exam (CBE) and/or ultrasound in the high-risk surveillance has little impact on the detection of additional cancers, but may improve compliance and reduce unnecessary callbacks for nonspecific findings on MRI. To reduce advanced stage interval cancers, especially in BRCA1/2 mutation carriers, some programs offer additional semiannual CBE and/or ultrasound or alternate MRI and mammography every 6 months. How long regular MRI should be continued in high-risk women is a matter of considerable debate. It appears feasible that MRI can safely be discontinued even in BRCA1/2 mutation carriers between the age of 60 and 70, especially if mammographic breast density is low. Even though several cohort studies have now demonstrated a very favorable stage distribution of breast cancers found in women undergoing high-risk surveillance with MRI, data on long-term survival and mortality in these patients is still rare. PMID:25960720

  2. Dual aptamer-functionalized silica nanoparticles for the highly sensitive detection of breast cancer.

    PubMed

    Jo, Hunho; Her, Jin; Ban, Changill

    2015-09-15

    In this study, we synthesized dual aptamer-modified silica nanoparticles that simultaneously target two types of breast cancer cells: the mucin 1 (MUC1)(+) and human epidermal growth factor receptor 2 (HER2)(+) cell lines. Dual aptamer system enables a broad diagnosis for breast cancer in comparison with the single aptamer system. The dye-doped silica nanoparticles offer great stability with respect to photobleaching and enable the accurate quantification of breast cancer cells. The morphological and spectroscopic characteristics of the designed Dual-SiNPs were demonstrated via diverse methods such as DLS, zeta potential measurements, UV-vis spectroscopy, and fluorescence spectroscopy. Negatively charged Dual-SiNPs with a homogeneous size distribution showed robust and strong fluorescence. In addition, Dual-SiNPs did not affect cell viability, implying that this probe might be readily available for use in an in vivo system. Through ratio optimization of the MUC1 and HER2 aptamers, the binding capacities of the Dual-SiNPs to both cell lines were maximized. Based on Dual-SiNPs, a highly sensitive quantification of breast cancer cells was performed, resulting in a detection limit of 1 cell/100 μL, which is significantly lower compared with those reported in other studies. Moreover, the developed detection platform displayed high selectivity for only the MUC1(+) and HER2(+) cell lines. It is expected that this valuable diagnostic probe will be a noteworthy platform for the diagnosis and prognosis of breast cancer. PMID:25897882

  3. Ionizing radiation-induced DNA injury and damage detection in patients with breast cancer

    PubMed Central

    Borrego-Soto, Gissela; Ortiz-López, Rocío; Rojas-Martínez, Augusto

    2015-01-01

    Abstract Breast cancer is the most common malignancy in women. Radiotherapy is frequently used in patients with breast cancer, but some patients may be more susceptible to ionizing radiation, and increased exposure to radiation sources may be associated to radiation adverse events. This susceptibility may be related to deficiencies in DNA repair mechanisms that are activated after cell-radiation, which causes DNA damage, particularly DNA double strand breaks. Some of these genetic susceptibilities in DNA-repair mechanisms are implicated in the etiology of hereditary breast/ovarian cancer (pathologic mutations in the BRCA 1 and 2 genes), but other less penetrant variants in genes involved in sporadic breast cancer have been described. These same genetic susceptibilities may be involved in negative radiotherapeutic outcomes. For these reasons, it is necessary to implement methods for detecting patients who are susceptible to radiotherapy-related adverse events. This review discusses mechanisms of DNA damage and repair, genes related to these functions, and the diagnosis methods designed and under research for detection of breast cancer patients with increased radiosensitivity. PMID:26692152

  4. Multiplexed detection of various breast cancer cells by perfluorocarbon/quantum dot nanoemulsions conjugated with antibodies

    NASA Astrophysics Data System (ADS)

    Bae, Pan Kee; Chung, Bong Hyun

    2014-07-01

    The effective targeting of cancer cell surface antigens is an attractive approach in cancer diagnosis and therapy. Multifunctional nanoprobes with cell-targeting specificity are likely to find important applications in bioanalysis, biomedicine, and clinical diagnosis. In this study, we have fabricated biocompatible perfluorocan/quantum dot nanoemulsions as bimodal imaging nanoprobes for the targeting of breast cancer cells. Perfluorocarbon/quantum dot nanoemulsions conjugated with monoclonal antibodies, as a type of bimodal imaging nanoprobe based on 19 F-MR and optical imaging, have been synthesized and applied for targeted imaging of three different breast cancer cells (SKBR3, MCF-7, MDA-MB 468), respectively. We have shown that the cancer-detection capabilities of antibody-conjugated PFC/QDs nanoemulsions could be successfully applied to target of various breast cancer cells. These modified PFC/QDs nanoemulsions were shown to target the cancer cell surface receptors specially. Conjugation of ligands to nanoemulsions targeting over-expressed cell surface receptors is a promising approach for targeted imaging to tumor cells. We further propose that the PFC/QDs nanoemulsions could be used in targeted imaging of breast cancer cells.

  5. Use of the FDTD method for time reversal: application to microwave breast cancer detection

    NASA Astrophysics Data System (ADS)

    Kosmas, Panagiotis; Rappaport, Carey

    2004-05-01

    The feasibility of microwave breast cancer detection with a time reversal algorithm is examined. This time reversal algorithm, based on the finite difference time domain method (FDTD), time reverses not only the recorded field, but also the medium. It compensates for the wave decay and therefore is suitable for lossy media. We present two-dimensional (2D) breast models and geometries, and assume knowledge of the system's response in the absence of tumor (distorted wave Born approximation). Our results illustrate the system's detection and localization abilities, and its robustness to dispersion and measurement noise. Good performance using a simple time reversal mirror shows that this method is a promising technique for microwave imaging, and encourages us to further examine its applicability to microwave breast cancer detection.

  6. Breast Cancer -- Male

    MedlinePlus

    ... Home > Types of Cancer > Breast Cancer in Men Breast Cancer in Men This is Cancer.Net’s Guide to Breast Cancer in Men. Use the menu below to choose ... social workers, and patient advocates. Cancer.Net Guide Breast Cancer in Men Overview Statistics Risk Factors and Prevention ...

  7. Aptamer-Assisted Detection of the Altered Expression of Estrogen Receptor Alpha in Human Breast Cancer

    PubMed Central

    Ahirwar, Rajesh; Vellarikkal, Shamsudheen Karuthedath; Sett, Arghya; Sivasubbu, Sridhar; Scaria, Vinod; Bora, Utpal; Borthakur, Bibhuti Bhusan; Kataki, Amal Chandra; Sharma, Jagannath Dev; Nahar, Pradip

    2016-01-01

    An increase in the expression of estrogen receptors (ER) and the expanded population of ER-positive cells are two common phenotypes of breast cancer. Detection of the aberrantly expressed ERα in breast cancer is carried out using ERα-antibodies and radiolabelled ligands to make decisions about cancer treatment and targeted therapy. Capitalizing on the beneficial advantages of aptamer over the conventional antibody or radiolabelled ligand, we have identified a DNA aptamer that selectively binds and facilitates the detection of ERα in human breast cancer tissue sections. The aptamer is identified using the high throughput sequencing assisted SELEX screening. Biophysical characterization confirms the binding and formation of a thermodynamically stable complex between the identified DNA aptamer (ERaptD4) and ERα (Ka = 1.55±0.298×108 M-1; ΔH = 4.32×104±801.1 cal/mol; ΔS = -108 cal/mol/deg). Interestingly, the specificity measurements suggest that the ERaptD4 internalizes into ERα-positive breast cancer cells in a target-selective manner and localizes specifically in the nuclear region. To harness these characteristics of ERaptD4 for detection of ERα expression in breast cancer samples, we performed the aptamer-assisted histochemical analysis of ERα in tissue samples from breast cancer patients. The results were validated by performing the immunohistochemistry on same samples with an ERα-antibody. We found that the two methods agree strongly in assay output (kappa value = 0.930, p-value <0.05 for strong ERα positive and the ERα negative samples; kappa value = 0.823, p-value <0.05 for the weak/moderate ER+ve samples, n = 20). Further, the aptamer stain the ERα-positive cells in breast tissues without cross-reacting to ERα-deficient fibroblasts, adipocytes, or the inflammatory cells. Our results demonstrate a significant consistency in the aptamer-assisted detection of ERα in strong ERα positive, moderate ERα positive and ERα negative breast cancer

  8. Microwave radar and microwave-induced thermoacoustics: dual-modality approach for breast cancer detection.

    PubMed

    Kirshin, Evgeny; Oreshkin, Borislav; Zhu, Guangran Kevin; Popović, Milica; Coates, Mark

    2013-02-01

    Microwave radar and microwave-induced thermoacoustics, recently proposed as promising breast cancer detection techniques, each have shortcomings that reduce detection performance. Making the assumption that the measurement noises experienced when applying these two techniques are independent, we propose a methodology to process the input signals jointly based on a hypothesis testing framework. We present two test statistics and derive their distributions to set the thresholds. The methodology is evaluated on numerically simulated signals acquired from 2-D numerical breast models using finite-difference time-domain method. Our results show that the proposed dual-modality approach can give a significant improvement in detection performance. PMID:23193227

  9. MRI breast screening in high-risk women: cancer detection and survival analysis.

    PubMed

    Evans, D Gareth; Gareth, Evans D; Kesavan, Nisha; Nisha, Kesavan; Lim, Yit; Yit, Lim; Gadde, Soujanye; Soujanye, Gadde; Hurley, Emma; Emma, Hurley; Massat, Nathalie J; Maxwell, Anthony J; Ingham, Sarah; Sarah, Ingham; Eeles, Rosalind; Rosalind, Eeles; Leach, Martin O; Howell, Anthony; Anthony, Howell; Duffy, Stephen W; Stephen, Duffy

    2014-06-01

    Women with a genetic predisposition to breast cancer tend to develop the disease at a younger age with denser breasts making mammography screening less effective. The introduction of magnetic resonance imaging (MRI) for familial breast cancer screening programs in recent years was intended to improve outcomes in these women. We aimed to assess whether introduction of MRI surveillance improves 5- and 10-year survival of high-risk women and determine the accuracy of MRI breast cancer detection compared with mammography-only or no enhanced surveillance and compare size and pathology of cancers detected in women screened with MRI + mammography and mammography only. We used data from two prospective studies where asymptomatic women with a very high breast cancer risk were screened by either mammography alone or with MRI also compared with BRCA1/2 carriers with no intensive surveillance. 63 cancers were detected in women receiving MRI + mammography and 76 in women receiving mammography only. Sensitivity of MRI + mammography was 93 % with 63 % specificity. Fewer cancers detected on MRI were lymph node positive compared to mammography/no additional screening. There were no differences in 10-year survival between the MRI + mammography and mammography-only groups, but survival was significantly higher in the MRI-screened group (95.3 %) compared to no intensive screening (73.7 %; p = 0.002). There were no deaths among the 21 BRCA2 carriers receiving MRI. There appears to be benefit from screening with MRI, particularly in BRCA2 carriers. Extended follow-up of larger numbers of high-risk women is required to assess long-term survival. PMID:24687378

  10. Coded aperture coherent scatter imaging for breast cancer detection: a Monte Carlo evaluation

    NASA Astrophysics Data System (ADS)

    Lakshmanan, Manu N.; Morris, Robert E.; Greenberg, Joel A.; Samei, Ehsan; Kapadia, Anuj J.

    2016-03-01

    It is known that conventional x-ray imaging provides a maximum contrast between cancerous and healthy fibroglandular breast tissues of 3% based on their linear x-ray attenuation coefficients at 17.5 keV, whereas coherent scatter signal provides a maximum contrast of 19% based on their differential coherent scatter cross sections. Therefore in order to exploit this potential contrast, we seek to evaluate the performance of a coded- aperture coherent scatter imaging system for breast cancer detection and investigate its accuracy using Monte Carlo simulations. In the simulations we modeled our experimental system, which consists of a raster-scanned pencil beam of x-rays, a bismuth-tin coded aperture mask comprised of a repeating slit pattern with 2-mm periodicity, and a linear-array of 128 detector pixels with 6.5-keV energy resolution. The breast tissue that was scanned comprised a 3-cm sample taken from a patient-based XCAT breast phantom containing a tomosynthesis- based realistic simulated lesion. The differential coherent scatter cross section was reconstructed at each pixel in the image using an iterative reconstruction algorithm. Each pixel in the reconstructed image was then classified as being either air or the type of breast tissue with which its normalized reconstructed differential coherent scatter cross section had the highest correlation coefficient. Comparison of the final tissue classification results with the ground truth image showed that the coded aperture imaging technique has a cancerous pixel detection sensitivity (correct identification of cancerous pixels), specificity (correctly ruling out healthy pixels as not being cancer) and accuracy of 92.4%, 91.9% and 92.0%, respectively. Our Monte Carlo evaluation of our experimental coded aperture coherent scatter imaging system shows that it is able to exploit the greater contrast available from coherently scattered x-rays to increase the accuracy of detecting cancerous regions within the breast.

  11. Development of a Radiolabeled Peptide-Based Probe Targeting MT1-MMP for Breast Cancer Detection

    PubMed Central

    Min, Kaiyin; Ji, Bin; Zhao, Min; Ji, Tiefeng; Chen, Bin; Fang, Xuedong; Ma, Qingjie

    2015-01-01

    Breast cancer is one of the most frequent and aggressive primary tumors among women of all races. Matrix metalloproteinase (MMPs), a family of zinc- and calcium-dependent secreted or membrane anchored endopeptidases, is overexpressed in varieties of diseases including breast cancer. Therefore, noninvasive visualization and quantification of MMP in vivo are of great interest in basic research and clinical application for breast cancer early diagnosis. Herein, we developed a 99mTc labeled membrane type I matrix metalloproteinase (MT1-MMP) specific binding peptide, [99mTc]-(HYNIC-AF7p)(tricine)(TPPTS), for in vivo detection of MDA-MB-231 breast tumor by single photon emission computed tomography (SPECT). [99mTc]-(HYNIC-AF7p)(tricine)(TPPTS) demonstrated nice biostability and high MT1-MMP binding affinity in vitro and in vivo. Tumor-to-muscle ratio was found to reach to the highest (4.17±0.49) at 2 hour after intravenously administration of [99mTc]-(HYNIC-AF7P)(tricine)(TPPTS) into MDA-MB-231 tumor bearing mice. Overall, [99mTc]-(HYNIC-AF7P)(tricine)(TPPTS) demonstrated great potential for MT1-MMP targeted detection in vivo and it would be a promising molecular imaging probe that are probably beneficial to breast cancer early diagnoses. PMID:26437463

  12. 77 FR 71193 - Breast and Cervical Cancer Early Detection Federal Advisory Committee

    Federal Register 2010, 2011, 2012, 2013, 2014

    2012-11-29

    ... From the Federal Register Online via the Government Publishing Office ] DEPARTMENT OF HEALTH AND HUMAN SERVICES Centers for Disease Control and Prevention (CDC) Breast and Cervical Cancer Early Detection Federal Advisory Committee Correction: This notice was published in the Federal Register...

  13. 75 FR 57472 - Breast and Cervical Cancer Early Detection and Control Advisory Committee (BCCEDCAC): Notice of...

    Federal Register 2010, 2011, 2012, 2013, 2014

    2010-09-21

    ... From the Federal Register Online via the Government Publishing Office DEPARTMENT OF HEALTH AND HUMAN SERVICES Centers for Disease Control and Prevention Breast and Cervical Cancer Early Detection and Control Advisory Committee (BCCEDCAC): Notice of Charter Renewal This gives notice under the Federal Advisory Committee Act (Pub. L. 92-463)...

  14. Detecting Emotional Expression in Face-to-Face and Online Breast Cancer Support Groups

    ERIC Educational Resources Information Center

    Liess, Anna; Simon, Wendy; Yutsis, Maya; Owen, Jason E.; Piemme, Karen Altree; Golant, Mitch; Giese-Davis, Janine

    2008-01-01

    Accurately detecting emotional expression in women with primary breast cancer participating in support groups may be important for therapists and researchers. In 2 small studies (N = 20 and N = 16), the authors examined whether video coding, human text coding, and automated text analysis provided consistent estimates of the level of emotional…

  15. 77 FR 66469 - Breast and Cervical Cancer Early Detection and Control Advisory Committee (BCCEDCAC)

    Federal Register 2010, 2011, 2012, 2013, 2014

    2012-11-05

    ... From the Federal Register Online via the Government Publishing Office DEPARTMENT OF HEALTH AND HUMAN SERVICES Centers for Disease Control and Prevention Breast and Cervical Cancer Early Detection and Control Advisory Committee (BCCEDCAC) In accordance with section 10(a)(2) of the Federal Advisory Committee Act (Pub. L. 92-463), the Centers...

  16. Low-frequency phased-array 2D fluorescence localization in breast cancer detection

    NASA Astrophysics Data System (ADS)

    Liu, Qian; Chen, Yu; Chance, Britton; Luo, Qingming

    2003-12-01

    A method for rapid, non-invasive 2D fluorescence localization of breast cancer using low frequency phased array near-infrared technique is presented in this article. In our study, we have developed a dual-channel fluorescence detection system to locate breast cancer. This system consists two pair of in-phase and out-of-phase light emitting diodes (LEDs) as the light sources and Photomultiplier Tube (PMT) as the detector. Two null planes generated by cancellation of diffusion photon density waves (DPDW) will indicate the 2D position of breast cancer with exogenous contrast agents. The fluorescent contrast agent used in this study is Indocyanine Green (ICG) and the minimum amount of ICG detected by our system is 0.5 μM. With the 2 cm separation of sources and detector, the maximum depth our system can detect is 10 mm. The whole system is in compact size and portable. Phantom experiments show that the system can provide real time detection and localization of small hidden absorbing-fluorescent objects inside the highly scattering medium with high accuracy of +/-3 mm. The potential application is that it is low-cost and can be used for breast cancer localization as operation aid and self-examination.

  17. NASA's Technology Transfer Program for the Early Detection of Breast Cancer

    NASA Technical Reports Server (NTRS)

    Schmidt, Gregory; Frey, Mary Anne; Vernikos, Joan; Winfield, Daniel; Dalton, Bonnie P. (Technical Monitor)

    1996-01-01

    The National Aeronautics and Space Administration (NASA) has led the development of advanced imaging sensors and image processing technologies for space science and Earth science missions. NASA considers the transfer and commercialization of such technologies a fundamental mission of the agency. Over the last two years, efforts have been focused on the application of aerospace imaging and computing to the field of diagnostic imaging, specifically to breast cancer imaging. These technology transfer efforts offer significant promise in helping in the national public health priority of the early detection of breast cancer.

  18. Detection and classification of Breast Cancer in Wavelet Sub-bands of Fractal Segmented Cancerous Zones

    PubMed Central

    Shirazinodeh, Alireza; Noubari, Hossein Ahmadi; Rabbani, Hossein; Dehnavi, Alireza Mehri

    2015-01-01

    Recent studies on wavelet transform and fractal modeling applied on mammograms for the detection of cancerous tissues indicate that microcalcifications and masses can be utilized for the study of the morphology and diagnosis of cancerous cases. It is shown that the use of fractal modeling, as applied to a given image, can clearly discern cancerous zones from noncancerous areas. In this paper, for fractal modeling, the original image is first segmented into appropriate fractal boxes followed by identifying the fractal dimension of each windowed section using a computationally efficient two-dimensional box-counting algorithm. Furthermore, using appropriate wavelet sub-bands and image Reconstruction based on modified wavelet coefficients, it is shown that it is possible to arrive at enhanced features for detection of cancerous zones. In this paper, we have attempted to benefit from the advantages of both fractals and wavelets by introducing a new algorithm. By using a new algorithm named F1W2, the original image is first segmented into appropriate fractal boxes, and the fractal dimension of each windowed section is extracted. Following from that, by applying a maximum level threshold on fractal dimensions matrix, the best-segmented boxes are selected. In the next step, the segmented Cancerous zones which are candidates are then decomposed by utilizing standard orthogonal wavelet transform and db2 wavelet in three different resolution levels, and after nullifying wavelet coefficients of the image at the first scale and low frequency band of the third scale, the modified reconstructed image is successfully utilized for detection of breast cancer regions by applying an appropriate threshold. For detection of cancerous zones, our simulations indicate the accuracy of 90.9% for masses and 88.99% for microcalcifications detection results using the F1W2 method. For classification of detected mictocalcification into benign and malignant cases, eight features are identified and

  19. Detection and classification of Breast Cancer in Wavelet Sub-bands of Fractal Segmented Cancerous Zones.

    PubMed

    Shirazinodeh, Alireza; Noubari, Hossein Ahmadi; Rabbani, Hossein; Dehnavi, Alireza Mehri

    2015-01-01

    Recent studies on wavelet transform and fractal modeling applied on mammograms for the detection of cancerous tissues indicate that microcalcifications and masses can be utilized for the study of the morphology and diagnosis of cancerous cases. It is shown that the use of fractal modeling, as applied to a given image, can clearly discern cancerous zones from noncancerous areas. In this paper, for fractal modeling, the original image is first segmented into appropriate fractal boxes followed by identifying the fractal dimension of each windowed section using a computationally efficient two-dimensional box-counting algorithm. Furthermore, using appropriate wavelet sub-bands and image Reconstruction based on modified wavelet coefficients, it is shown that it is possible to arrive at enhanced features for detection of cancerous zones. In this paper, we have attempted to benefit from the advantages of both fractals and wavelets by introducing a new algorithm. By using a new algorithm named F1W2, the original image is first segmented into appropriate fractal boxes, and the fractal dimension of each windowed section is extracted. Following from that, by applying a maximum level threshold on fractal dimensions matrix, the best-segmented boxes are selected. In the next step, the segmented Cancerous zones which are candidates are then decomposed by utilizing standard orthogonal wavelet transform and db2 wavelet in three different resolution levels, and after nullifying wavelet coefficients of the image at the first scale and low frequency band of the third scale, the modified reconstructed image is successfully utilized for detection of breast cancer regions by applying an appropriate threshold. For detection of cancerous zones, our simulations indicate the accuracy of 90.9% for masses and 88.99% for microcalcifications detection results using the F1W2 method. For classification of detected mictocalcification into benign and malignant cases, eight features are identified and

  20. Investigation of near infrared autofluorescence imaging for the detection of breast cancer

    SciTech Connect

    Demos, S G; Bold, R; White, R d; Ramsamooj, R

    2005-08-19

    Detection of breast cancer in fresh tissue obtained from surgery is investigated using Near-infrared autofluorescence imaging under laser excitation at 532-nm and 632.8-nm. The differences in intensity between the three main components of breast tissue (cancer, fibrous and adipose) are estimated and compared to those obtained from cross-polarized light scattering images recorded under polarized illumination at 700-nm. The optical spectroscopic images for each tissue sample were subsequently compared with the histopathology slides. The experimental results indicate that the intensity of the near-infrared emission is considerably different in breast cancer compared to that of the adjacent non-neoplastic tissues (adipose and fibrous tissue). The experimental results suggest that 632.8-nm excitation offers key advantages compared to 532-nm excitation.

  1. Hot spot detection for breast cancer in Ki-67 stained slides: image dependent filtering approach

    NASA Astrophysics Data System (ADS)

    Niazi, M. Khalid Khan; Downs-Kelly, Erinn; Gurcan, Metin N.

    2014-03-01

    We present a new method to detect hot spots from breast cancer slides stained for Ki67 expression. It is common practice to use centroid of a nucleus as a surrogate representation of a cell. This often requires the detection of individual nuclei. Once all the nuclei are detected, the hot spots are detected by clustering the centroids. For large size images, nuclei detection is computationally demanding. Instead of detecting the individual nuclei and treating hot spot detection as a clustering problem, we considered hot spot detection as an image filtering problem where positively stained pixels are used to detect hot spots in breast cancer images. The method first segments the Ki-67 positive pixels using the visually meaningful segmentation (VMS) method that we developed earlier. Then, it automatically generates an image dependent filter to generate a density map from the segmented image. The smoothness of the density image simplifies the detection of local maxima. The number of local maxima directly corresponds to the number of hot spots in the breast cancer image. The method was tested on 23 different regions of interest images extracted from 10 different breast cancer slides stained with Ki67. To determine the intra-reader variability, each image was annotated twice for hot spots by a boardcertified pathologist with a two-week interval in between her two readings. A computer-generated hot spot region was considered a true-positive if it agrees with either one of the two annotation sets provided by the pathologist. While the intra-reader variability was 57%, our proposed method can correctly detect hot spots with 81% precision.

  2. Breast cancer screenings

    MedlinePlus

    ... this page: //medlineplus.gov/ency/patientinstructions/000837.htm Breast cancer screenings To use the sharing features on this page, please enable JavaScript. Breast cancer screenings can help find breast cancer early, before ...

  3. Breast Cancer (For Kids)

    MedlinePlus

    ... Got Homework? Here's Help White House Lunch Recipes Breast Cancer KidsHealth > For Kids > Breast Cancer Print A A ... for it when they are older. What Is Breast Cancer? The human body is made of tiny building ...

  4. Male Breast Cancer

    MedlinePlus

    Although breast cancer is much more common in women, men can get it too. It happens most often to men between ... 60 and 70. Breast lumps usually aren't cancer. However, most men with breast cancer have lumps. ...

  5. Male Breast Cancer

    MedlinePlus

    Although breast cancer is much more common in women, men can get it too. It happens most often to men ... usually aren't cancer. However, most men with breast cancer have lumps. Other breast symptoms can include Dimpled ...

  6. Clinical Practice Guideline for the prevention and early detection of breast and ovarian cancer in women from HBOC (hereditary breast and ovarian cancer) families.

    PubMed

    Singer, C F; Tea, M K; Pristauz, G; Hubalek, M; Rappaport, C; Riedl, C C; Helbich, T H

    2015-12-01

    An estimated 10% of breast cancer cases exhibit a higher familial incidence, and functional mutations in BRCA (breast cancer-gene) 1 or 2 are responsible for the development of malignant tumors in approximately half of these cases. Women with a germline mutation in either of the two genes have a lifetime risk of up to 85% to develop breast cancer, and of up to 60% risk to develop ovarian cancer. This clinical practice guideline defines the individual and familial tumor constellations that represent an indication for BRCA germline testing. It also describes the therapeutic options (early detection programme vs prophylactic surgery) that arise from the result of a BRCA mutational analysis. This guideline further includes recommendations regarding the use of multigene panels and therapeutic aspects that arise from the selective use of poly ADP ribose polymerase (PARP) inhibitors in patients with known BRCA1 or 2 mutations. It replaces the previous version of the "Clinical Practice Guideline for the Prevention and Early Detection of Breast- and Ovarian Cancer in women from HBOC (hereditary breast and ovarian cancer) families" which was published in 2012. PMID:26525377

  7. Time-resolved fluorescence for breast cancer detection using an octreotate-indocyanine green derivative dye conjugate

    NASA Astrophysics Data System (ADS)

    Sordillo, Laura A.; Das, B. B.; Pu, Yang; Liang, Kexian; Milione, Giovanni; Sordillo, Peter P.; Achilefu, Sam; Alfano, R. R.

    2013-03-01

    Time-resolved fluorescence was used to investigate malignant and normal adjacent breast tissues stained with a conjugate of indocyanine green and octreotate. A marked increase in fluorescence lifetime intensity was seen in the breast cancer sample compared to the normal sample. The fluorescent lifetimes were also investigated and showed similar fluorescence decay curves in stained malignant and normal breast tissue. These results confirm that somatostatin receptors occur on human breast carcinomas, suggest that the presence of somatostatin receptors should be investigated as a marker of breast cancer aggressiveness, and suggest that this conjugate might be used to detect the presence of residual breast cancer after surgery, allowing better assessment of tumor margins and reducing the need for second or repeat biopsies in selected patients. These results may also provide clues for designing future treatment options for breast cancer patients.

  8. Targeted Ultrasound for MR-Detected Lesions in Breast Cancer Patients

    PubMed Central

    Shin, Jung Hee; Choe, Yeon Hyeon; Ko, Kyungran; Choi, Nami

    2007-01-01

    Objective To investigate the usefulness of targeted ultrasound (US) in the identification of additional suspicious lesions found by magnetic resonance (MR) imaging in breast cancer patients and the changes in treatment based on the identification of the lesions by the use of targeted US. Materials and Methods One-hundred forty nine patients who underwent breast MR imaging for a preoperative evaluation of breast cancer between January 2002 and July 2004 were included in the study. We searched all cases for any additional lesions that were found initially by MR imaging and investigated the performance of targeted US in identifying the lesions. We also investigated their pathological outcomes and changes in treatment as a result of lesion identification. Results Of the 149 patients with breast cancer, additional suspicious lesions were detected with MR imaging in 62 patients (42%). Of the 69 additional lesions found in those 62 patients, 26 (38%) were confirmed as cancers by histology. Thirty-eight lesions in 31 patients were examined with targeted US and were histologically revealed as cancers in 18 (47%), high risk lesions in two (5%), benign lesions in 15 (39%), and unidentified lesions in three (8%). The cancer rate was statistically higher in lesions with a US correlate than in lesions without a US correlate (p = 0.028). Of 31 patients, the surgical plan was altered in 27 (87%). The use of targeted US justified a change in treatment for 22 patients (81%) and misled five patients (19%) into having an unnecessary surgical excision. Conclusion Targeted US can play a useful role in the evaluation of additional suspicious lesions detected by MR imaging in breast cancer patients, but is limited in lesions without a US correlate. PMID:18071277

  9. Multiplex detection of breast cancer biomarkers using plasmonic molecular sentinel nanoprobes

    NASA Astrophysics Data System (ADS)

    Wang, Hsin-Neng; Vo-Dinh, Tuan

    2009-02-01

    We have demonstrated for the first time the feasibility of multiplex detection using the surface-enhanced Raman scattering-based molecular sentinel (MS) technology in a homogeneous solution. Two MS nanoprobes tagged with different Raman labels were used to detect the presence of the erbB-2 and ki-67 breast cancer biomarkers. The multiplexing capability of the MS technique was demonstrated by mixing the two MS nanoprobes and tested in the presence of single or multiple DNA targets.

  10. Action Tendency Emotions Evoked by Memorable Breast Cancer Messages and Their Association With Prevention and Detection Behaviors

    PubMed Central

    Smith, Sandi W.; Hamel, Lauren M; Kotowski, Michael R.; Nazione, Samantha; LaPlante, Carolyn; Atkin, Charles K.; Stohl, Cynthia; Skubisz, Christine

    2010-01-01

    Memorable messages about breast cancer sent by different sources, such as friends and family members, were analyzed for the action tendency emotions that they evoked. Negative emotions of fear, sadness, and anger, and positive emotions of hope and relief were analyzed for their associations with prevention and detection breast cancer behaviors. Messages that evoked fear were significantly more likely to be associated with detection behaviors, whereas messages that evoked relief were significantly less likely to be associated with detection behaviors than messages that did not evoke these emotions. These results are consistent with control theory and also show that friends and family are important sources of memorable messages about breast cancer. PMID:21153990

  11. Implementation of the National Breast and Cervical Cancer Early Detection Program

    PubMed Central

    Lee, Nancy C.; Wong, Faye L.; Jamison, Patricia M.; Jones, Sandra F.; Galaska, Louise; Brady, Kevin T.; Wethers, Barbara; Stokes-Townsend, George-Ann

    2015-01-01

    In 1990, Congress passed the Breast and Cervical Cancer Mortality Prevention Act because of increases in the number of low-income and uninsured women being diagnosed with breast cancer. This act authorized the Centers for Disease Control and Prevention (CDC) to establish the National Breast and Cervical Cancer Early Detection Program (NBCCEDP) to provide high-quality and timely breast and cervical cancer screening and diagnostic services to low-income, uninsured women. The program started in 1991, and, in 1993, Congress amended the act to allow the CDC to fund American Indian and Alaska Native tribes and tribal organizations. By 1996, the program was providing cancer screening across the United States. To ensure appropriate delivery and monitoring of services, the program adopted detailed policies on program management, evidence-based guidelines for clinical services, a systematized clinical data system to track service quality, and key partnerships that expand the program’s reach. The NBCCEDP currently funds 67 programs, including all 50 states, the District of Columbia, 5 US territories, and 11 tribes or tribal organizations. PMID:25099896

  12. Detection of inherited mutations for breast and ovarian cancer using genomic capture and massively parallel sequencing

    PubMed Central

    Walsh, Tom; Lee, Ming K.; Casadei, Silvia; Thornton, Anne M.; Stray, Sunday M.; Pennil, Christopher; Nord, Alex S.; Mandell, Jessica B.; Swisher, Elizabeth M.; King, Mary-Claire

    2010-01-01

    Inherited loss-of-function mutations in the tumor suppressor genes BRCA1, BRCA2, and multiple other genes predispose to high risks of breast and/or ovarian cancer. Cancer-associated inherited mutations in these genes are collectively quite common, but individually rare or even private. Genetic testing for BRCA1 and BRCA2 mutations has become an integral part of clinical practice, but testing is generally limited to these two genes and to women with severe family histories of breast or ovarian cancer. To determine whether massively parallel, “next-generation” sequencing would enable accurate, thorough, and cost-effective identification of inherited mutations for breast and ovarian cancer, we developed a genomic assay to capture, sequence, and detect all mutations in 21 genes, including BRCA1 and BRCA2, with inherited mutations that predispose to breast or ovarian cancer. Constitutional genomic DNA from subjects with known inherited mutations, ranging in size from 1 to >100,000 bp, was hybridized to custom oligonucleotides and then sequenced using a genome analyzer. Analysis was carried out blind to the mutation in each sample. Average coverage was >1200 reads per base pair. After filtering sequences for quality and number of reads, all single-nucleotide substitutions, small insertion and deletion mutations, and large genomic duplications and deletions were detected. There were zero false-positive calls of nonsense mutations, frameshift mutations, or genomic rearrangements for any gene in any of the test samples. This approach enables widespread genetic testing and personalized risk assessment for breast and ovarian cancer. PMID:20616022

  13. Early detection of breast cancer: a molecular optical imaging approach using novel estrogen conjugate fluorescent dye

    NASA Astrophysics Data System (ADS)

    Bhattacharjee, Shubhadeep; Jose, Iven

    2011-02-01

    Estrogen induced proliferation of mutant cells is widely understood to be the one of major risk determining factor in the development of breast cancer. Hence determination of the Estrogen Receptor[ER] status is of paramount importance if cancer pathogenesis is to be detected and rectified at an early stage. Near Infrared Fluorescence [NIRf] Molecular Optical Imaging is emerging as a powerful tool to monitor bio-molecular changes in living subjects. We discuss pre-clinical results in our efforts to develop an optical imaging diagnostic modality for the early detection of breast cancer. We have successfully carried out the synthesis and characterization of a novel target-specific NIRf dye conjugate aimed at measuring Estrogen Receptor[ER] status. The conjugate was synthesized by ester formation between 17-β estradiol and a hydrophilic derivative of Indocyanine Green (ICG) cyanine dye, bis-1,1-(4-sulfobutyl) indotricarbocyanine-5-carboxylic acid, sodium salt. In-vitro studies regarding specific binding and endocytocis of the dye performed on ER+ve [MCF-7] and control [MDA-MB-231] adenocarcinoma breast cancer cell lines clearly indicated nuclear localization of the dye for MCF-7 as compared to plasma level staining for MDA-MB-231. Furthermore, MCF-7 cells showed ~4.5-fold increase in fluorescence signal intensity compared to MDA-MB-231. A 3-D mesh model mimicking the human breast placed in a parallel-plate DOT Scanner is created to examine the in-vivo efficacy of the dye before proceeding with clinical trials. Photon migration and florescence flux intensity is modeled using the finite-element method with the coefficients (quantum yield, molar extinction co-efficient etc.) pertaining to the dye as obtained from photo-physical and in-vitro studies. We conclude by stating that this lipophilic dye can be potentially used as a target specific exogenous contrast agent in molecular optical imaging for early detection of breast cancer.

  14. Nano interfaced biosensor for detection of choline in triple negative breast cancer cells.

    PubMed

    Thiagarajan, Vignesh; Madhurantakam, Sasya; Sethuraman, Swaminathan; Balaguru Rayappan, John Bosco; Maheswari Krishnan, Uma

    2016-01-15

    Choline, a type of Vitamin B, is an important nutrient in the human body and is involved in key metabolic pathways. Abnormal levels of choline leads to diseased conditions. The levels of choline and its associated compounds are found to be elevated in triple negative breast cancer (TNBC) patients. The choline level ranges from 0.4 to 4.9mmol/kg in TNBC. Thus the detection of choline levels in cells can aid in diagnosing breast cancer. The present work aims to develop a nano-interfaced electrochemical biosensor for the rapid detection of choline in cancer cells. For electrochemical detection, glassy carbon electrode coated with a zinc oxide nano-interface was used as the working electrode. Zinc oxide synthesized by hydrothermal method was characterized using SEM and XRD. The choline oxidase (ChOx) enzyme was immobilized on the nano-interface by drop-casting. Choline oxidase (ChOx) converts choline to betaine and H2O2 in the presence of oxygen. The H2O2 produced was determined amperometrically. The amount of H2O2 produced is directly proportional to concentration of choline present. The sensitivity, selectivity, stability and concentration studies were carried out and quantification of choline in TNBC was also carried out. The results demonstrate that this biosensor has the potential to be developed as a clinical tool for breast cancer detection. PMID:26476202

  15. Detection of HER2 Gene Polymorphism in Breast Cancer: PCR Optimization Study.

    PubMed

    Budiarto, Bugi Ratno; Desriani

    2016-01-01

    Cancers are the most deadly diseases in the world and their incidences continue to increase over time. Particularly, breast cancer in females places 1(st) rank among other types of cancers in term of cancer cases (23%) and death incidence (14%). Recent findings support the correlation between (Ile)655(Val) SNP in the HER2 gene with breast cancer risk. Moreover, the (Ile)655(Val) HER2 gene polymorphism could be a predictive factor in a neoadjuvant therapy setting. Precise detection of the (Ile)655(Val) HER2 gene SNP in early breast cancer patients will be beneficial in designing the most suitable treatment and in increasing the efficacy of anticancer drugs. Here we develop a rapid and inexpensive method for (Ile)655(Val) SNP detection in the HER2 gene based on allele-specific PCR technology. Two forward primers and one common reverse primer were designed to anneal specifically either on the HER2 gene fragment containing the GG genotype or to the HER2 gene fragment containing the AA genotype where one of these primers had been added with poly-GC at 5' upstream. Moreover, to increase discrimination level, mismatch bases at the SNP site and the 3(rd) base of each forward primers from 3'end were added. To test the performance of the designed primers in discriminating a polymorphism and its annealing temperature, breast cancer specimen-derived genomic DNA (with GG genotype) and pGEM_HER2/AA (with AA genotype) were used as templates in the PCR reaction. The optimal annealing temperature for SNP detection was at 51.5°C as showed by the appearance of a 150 base pair (bp) band as AA genotype (pGEM_HER2/AA template), 116bp band as GG genotype (genomic DNA template), and both types of bands as AG genotype (mix of pGEM_HER2/AA and genomic DNA template). Allelic types of breast cancer patients were also determined using this optimized method compared to sanger sequencing. The 100% accordance was shown for all types of genotypes in both methods. The allele-specific PCR in this

  16. Multicentric Cancer Detected at Breast MR Imaging and Not at Mammography: Important or Not?

    PubMed

    Iacconi, Chiara; Galman, Lanie; Zheng, Junting; Sacchini, Virgilio; Sutton, Elizabeth J; Dershaw, David; Morris, Elizabeth A

    2016-05-01

    Purpose To review the magnetic resonance (MR) imaging and pathologic features of multicentric cancer detected only at MR imaging and to evaluate its potential biologic value. Materials and Methods This retrospective study was institutional review board approved and HIPAA compliant; informed consent was waived. A review of records from 2001 to 2011 yielded 2021 patients with newly diagnosed breast cancer who underwent biopsy after preoperative MR imaging, 285 (14%) of whom had additional cancer detected at MR imaging that was occult at mammography. In 73 patients (3.6%), MR imaging identified 87 cancers in different quadrants than the known index cancer, constituting the basis of this report. In 62 of 73 patients (85%; 95% confidence interval [CI]: 75, 92), one additional cancer was found, and in 11 of 73 (15%; 95% CI: 8, 25), multiple additional cancers were found. A χ(2) test with adjustment for multiple lesions was used to examine whether MR imaging and pathologic features differ between the index lesion and additional multicentric lesions seen only at MR imaging. Results Known index cancers were more likely to be invasive than MR imaging-detected multicentric cancers (88% vs 76%, P = .023). Ductal carcinoma in situ (21 of 87 lesions [24%]; 95% CI: 15, 36) represented a minority of additional MR imaging-detected multicentric cancers. Overall, the size of MR imaging-detected multicentric invasive cancers (median, 0.6 cm; range, 0.1-6.3 cm) was smaller than that of the index cancer (median, 1.2 cm; range, 0.05-7.0 cm; P = .023), although 17 of 73 (23%) (95% CI: 14, 35) patients had larger MR imaging-detected multicentric cancers than the known index lesion, and 18 of 73 (25%) (95% CI: 15, 36) had MR imaging-detected multicentric cancers larger than 1 cm. MR imaging-detected multicentric cancers and index cancers differed in histologic characteristics, invasiveness, and grade in 27 of 73 (37%) patients (95% CI: 26, 49). In four of 73 (5%) patients (95% CI: 2, 13

  17. General Information about Breast Cancer

    MedlinePlus

    ... of Breast & Gynecologic Cancers Breast Cancer Screening Research Breast Cancer Treatment (PDQ®)–Patient Version General Information About Breast Cancer Go to Health Professional Version Key Points Breast ...

  18. Breast Cancer: Treatment Options

    MedlinePlus

    ... Cancer - Treatment Options Request Permissions Print to PDF Breast Cancer - Treatment Options Approved by the Cancer.Net Editorial ... recommendations for ovarian ablation . Hormonal therapy for metastatic breast cancer Hormonal therapies are also commonly used to treat ...

  19. Multifrequency microwave-induced thermal acoustic imaging for breast cancer detection.

    PubMed

    Guo, Bin; Li, Jian; Zmuda, Henry; Sheplak, Mark

    2007-11-01

    Microwave-induced thermal acoustic imaging (TAI) is a promising early breast cancer detection technique, which combines the advantages of microwave stimulation and ultrasound imaging and offers a high imaging contrast, as well as high spatial resolution at the same time. A new multifrequency microwave-induced thermal acoustic imaging scheme for early breast cancer detection is proposed in this paper. Significantly more information about the human breast can be gathered using multiple frequency microwave stimulation. A multifrequency adaptive and robust technique (MART) is presented for image formation. Due to its data-adaptive nature, MART can achieve better resolution and better interference rejection capability than its data-independent counterparts, such as the delay-and-sum method. The effectiveness of this procedure is shown by several numerical examples based on 2-D breast models. The finite-difference time-domain method is used to simulate the electromagnetic field distribution, the absorbed microwave energy density, and the thermal acoustic field in the breast model. PMID:18018695

  20. Contrast-enhanced microwave detection and treatment of breast cancer

    NASA Astrophysics Data System (ADS)

    Gao, Fuqiang

    Contrast agents and heating agents have been proposed for microwave breast tumor imaging and treatment, respectively. The dielectric properties of the tumor are altered with contrast agents or heating agents that locally accumulate in the tumor. The resulting change in dielectric properties of the tumor has the potential to enhance the sensitivity of microwave imaging of breast tumors and increase the efficiency and selectivity of microwave thermal therapy of breast tumors. This dissertation addresses several key challenges in contrast-enhanced microwave imaging and treatment of breast tumors. Carbon nanotubes (CNTs) have been shown to enhance both the relative permittivity and effective conductivity of the host medium, and are promising as theranostic (integrated therapeutic and diagnostic) agents. Thus, our properties characterization work focuses on CNT dispersions. We performed in vitro microwave dielectric properties and heating response characterization of dispersions of CNTs treated by different functionalization methods and identified a CNT formulation that is very promising as a microwave theranostic agent. Stable dispersions of CNTs with concentrations up to 20 mg/ml are obtained with this formulation, and the enhanced microwave properties of these dispersions are extraordinary compared to the control. We also conducted in vivo dielectric properties characterization of mouse tumors with intra-tumoral injections of CNT dispersions and confirmed that the presence of CNTs increases the dielectric properties of the tumor. In parallel, we developed a contrast-enhanced microwave breast tumor imaging algorithm using sparse reconstruction methods. We demonstrated that this algorithm accurately localizes small tumors in 3D numerical breast phantoms. We also demonstrated the experimental feasibility of this method using physical breast phantoms. Lastly, we studied the sensitivity of the distorted Born iterative method (DBIM) to initial guesses and developed a

  1. The value of the craniocaudal mammographic view in breast cancer detection: a preliminary study

    NASA Astrophysics Data System (ADS)

    Trieu, Phuong Dung; Brennan, Patrick C.; Lee, Warwick; Ryan, Elaine; Reed, Warren; Pietrzyk, Mariusz W.

    2013-03-01

    Our research aims to assess the value of the single cranio-caudal view mammogram in the detection of breast cancer. 129 radiologists were asked to report 60 two-view mammograms of the left and right breasts and 55 radiologists assessed a set of 55 single cranio-caudal views. Participants were asked to search for the presence of any breast lesions and provide confidence scores for their decisions. Results showed that two-view mammograms were more effective in detecting malignant nodules than single cranio-caudal view in terms of sensitivity, localized-sensitivity, ROC and JAFROC. The single cranio-caudal view had a higher specificity as compared to two-view mammography.

  2. Breast Cancer Disparities

    MedlinePlus

    ... 2.65 MB] Read the MMWR Science Clips Breast Cancer Black Women Have Higher Death Rates from Breast ... of Page U.S. State Info Number of Additional Breast Cancer Deaths Among Black Women, By State SOURCE: National ...

  3. Can Breast Cancer in Men Be Found Early?

    MedlinePlus

    ... and symptoms of breast cancer in men Can breast cancer in men be found early? Early detection improves ... be treated successfully. Differences affecting early detection of breast cancers in men and women There are many similarities ...

  4. Breast cancer in men

    MedlinePlus

    ... in situ-male; Intraductal carcinoma-male; Inflammatory breast cancer-male; Paget disease of the nipple-male; Breast cancer-male ... The cause of breast cancer is not clear. But there are risk ... breast cancer more likely in men: Exposure to radiation Higher ...

  5. 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

  6. Hormone Therapy for Breast Cancer

    MedlinePlus

    ... Cancers Breast Cancer Screening Research Hormone Therapy for Breast Cancer On This Page What are hormones? How do ... sensitive breast cancer: Adjuvant therapy for early-stage breast cancer : Research has shown that women treated for early- ...

  7. Comparison of optoacoustic tomography with ultrasound and x-ray imaging for breast cancer detection

    NASA Astrophysics Data System (ADS)

    Larin, Kirill V.; Hartrumpf, O.; Larina, Irina V.; Esenaliev, Rinat O.

    2001-06-01

    This paper is devoted to comparison new optoacoustic tomography with conventional breast tumors diagnostic techniques such as ultrasonography and X-ray radiography. Experiments were performed in phantoms simulating breast with tumors. The fundamental harmonic of Q-switched Nd:YAG laser (λ = 1064 nm) was used to generate optoacoustic pressure waves. Laser induced pressure waves were detected by a wide-band acoustic transducer. Digital oscilloscope controlled by PC was used to store and process optoacoustic signals. Gelatin phantoms with controlled optical parameters were prepared to simulate breast with tumors. Absorbing volumes colored with naphthol green and hemoglobin were embedded in the gelatin phantoms to model the breast tumors with increased optical absorption. Optoacoustic pressure waves form the phantoms were detected at different angles and 2D images were reconstructed. Comparison of optoacoustic images with images obtained with ultrasound and X-ray techniques proved that optoacoustic method has substantially higher contrast and resolution. Obtained results confirm that laser optoacoustic imaging technique can be an important tool for early breast cancer detection with tumors less than 5 mm in diameter.

  8. Human Breast Cancer Histoid

    PubMed Central

    Kaur, Pavinder; Ward, Brenda; Saha, Baisakhi; Young, Lillian; Groshen, Susan; Techy, Geza; Lu, Yani; Atkinson, Roscoe; Taylor, Clive R.; Ingram, Marylou

    2011-01-01

    Progress in our understanding of heterotypic cellular interaction in the tumor microenvironment, which is recognized to play major roles in cancer progression, has been hampered due to unavailability of an appropriate in vitro co-culture model. The aim of this study was to generate an in vitro 3-dimensional human breast cancer model, which consists of cancer cells and fibroblasts. Breast cancer cells (UACC-893) and fibroblasts at various densities were co-cultured in a rotating suspension culture system to establish co-culture parameters. Subsequently, UACC-893, BT.20, or MDA.MB.453 were co-cultured with fibroblasts for 9 days. Co-cultures resulted in the generation of breast cancer histoid (BCH) with cancer cells showing the invasion of fibroblast spheroids, which were visualized by immunohistochemical (IHC) staining of sections (4 µm thick) of BCH. A reproducible quantitative expression of C-erbB.2 was detected in UACC-893 cancer cells in BCH sections by IHC staining and the Automated Cellular Imaging System. BCH sections also consistently exhibited qualitative expression of pancytokeratins, p53, Ki-67, or E-cadherin in cancer cells and that of vimentin or GSTPi in fibroblasts, fibronectin in the basement membrane and collagen IV in the extracellular matrix. The expression of the protein analytes and cellular architecture of BCH were markedly similar to those of breast cancer tissue. PMID:22034518

  9. Synchronous Bilateral Breast Cancers

    PubMed Central

    Subramanyan, Annapurneswari; Radhakrishna, Selvi

    2015-01-01

    Background Bilateral breast cancer (BBC) is not an uncommon entity in contemporary breast clinics. Improved life expectancy after breast cancer treatment and routine use of contra-lateral breast mammography has led to increased incidence of BBC. Our study objective was to define the epidemiological and tumour characteristics of BBC in India. Materials and Methods A total of 1251 breast cancer patients were treated during the period January 2007 to March 2015 and 30 patients were found to have BBC who constituted the study population (60 tumour samples). Synchronous bilateral breast cancers (SBC) was defined as two tumours diagnosed within an interval of 6 months and a second cancer diagnosed after 6 months was labelled as metachronous breast cancer (MBC). Analyses of patient and tumour characteristics were done in this prospective data base of BBC patients. Results Median patient age was 66 years (range 39-85). Majority of the patients had SBC (n=28) and in 12 patients the second tumour was clinically occult and detected only by mammography of the contra-lateral breast. The second tumour was found at lower tumour size compared to the first in 73% of cases and was negative for axillary metastasis in 80% of cases (24/30). Infiltrating ductal carcinoma was the commonest histological type (n=51) and majority of the tumours were ER/PR positive (50/60). Her2 was overexpressed in 13 tumours (21%). Over 70% (22/30) of patients had similar histology in both breasts and amongst them grade concordance was present in about 69% (15/22) of patients. Concordance rates of ER, PR and Her2 statuses were 83%, 80% and 90% respectively. Bilateral mastectomy was the commonest surgery performed in 80% of the patients followed by bilateral breast conservation in 13%. At the end of study period, 26 patients were alive and disease free. Median survival was 29 months (range 3-86 months). Conclusion In most patients with BBC, the second tumour is identified at an early stage than index

  10. Topics and sources of memorable breast cancer messages and their impact on prevention and detection behaviors.

    PubMed

    Smith, Sandi W; Nazione, Samantha; Laplante, Carolyn; Kotowski, Michael R; Atkin, Charles; Skubisz, Christine M; Stohl, Cynthia

    2009-01-01

    Often, people are able to recall a message on a particular topic for a long period of time. These memorable messages have the ability to influence behavior when they are recalled from memory long after initial exposure. Knowing the topics and sources of the messages that are remembered about breast cancer can improve the efficacy of future breast cancer outreach. To this end, 359 women completed an online survey about memorable breast cancer messages. Most women (60%) recalled a memorable message, described it, identified its source, and noted whether it had resulted in prevention or detection behaviors. Four categories of message topics emerged: early detection (37.3%), awareness (30.9%), treatment (25.8%), and prevention (6%). Furthermore, five categories of sources of these memorable messages were found: media (35.5%), friends (22.2%), family (21.6%), medical professionals (15.2%), and others (5.5%). The media were a major source of all four topics of messages, although family members, friends, and the medical community were major sources for particular message topics as well. Memorable messages originating from medical professionals were substantially more likely to motivate detection behaviors than prevention behaviors. This research demonstrates that message topic and source both play roles in determining message recall as well as in determining how memorable messages impacted behavior. PMID:19440911

  11. Breast and Gynecologic Cancer | Division of Cancer Prevention

    Cancer.gov

    This group conducts and fosters the development of research on the prevention and early detection of breast cancer, cervix and human papillomavirus (HPV | Prevention and early detection of breast, cervix, endometrial and ovarian cancers and their precursors.

  12. Detection of aberrant methylation of a six-gene panel in serum DNA for diagnosis of breast cancer.

    PubMed

    Shan, Ming; Yin, Huizi; Li, Junnan; Li, Xiaobo; Wang, Dong; Su, Yonghui; Niu, Ming; Zhong, Zhenbin; Wang, Ji; Zhang, Xianyu; Kang, Wenli; Pang, Da

    2016-04-01

    Detection of breast cancer at an early stage is the key for successful treatment and improvement of outcome. However the limitations of mammography are well recognized, especially for those women with premenopausal breast cancer. Novel approaches to breast cancer screening are necessary, especially in the developing world where mammography is not feasible. In this study, we examined the promoter methylation of six genes (SFN, P16, hMLH1, HOXD13, PCDHGB7 and RASSF1a) in circulating free DNA (cfDNA) extracted from serum. We used a high-throughput DNA methylation assay (MethyLight) to examine serum from 749 cases including breast cancer patients, patients with benign breast diseases and healthy women. The six-gene methylation panel test achieved 79.6% and 82.4% sensitivity with a specificity of 72.4% and 78.1% in diagnosis of breast cancer when compared with healthy and benign disease controls, respectively. Moreover, the methylation panel positive group showed significant differences in the following independent variables: (a) involvement of family history of tumors; (b) a low proliferative index, ki-67; (c) high ratios in luminal subtypes. Additionally the panel also complemented some breast cancer cases which were neglected by mammography or ultrasound. These data suggest that epigenetic markers in serum have potential for diagnosis of breast cancer. PMID:26918343

  13. Detection of aberrant methylation of a six-gene panel in serum DNA for diagnosis of breast cancer

    PubMed Central

    Li, Junnan; Li, Xiaobo; Wang, Dong; Su, Yonghui; Niu, Ming; Zhong, Zhenbin; Wang, Ji; Zhang, Xianyu; Kang, Wenli; Pang, Da

    2016-01-01

    Detection of breast cancer at an early stage is the key for successful treatment and improvement of outcome. However the limitations of mammography are well recognized, especially for those women with premenopausal breast cancer. Novel approaches to breast cancer screening are necessary, especially in the developing world where mammography is not feasible. In this study, we examined the promoter methylation of six genes (SFN, P16, hMLH1, HOXD13, PCDHGB7 and RASSF1a) in circulating free DNA (cfDNA) extracted from serum. We used a high-throughput DNA methylation assay (MethyLight) to examine serum from 749 cases including breast cancer patients, patients with benign breast diseases and healthy women. The six-gene methylation panel test achieved 79.6% and 82.4% sensitivity with a specificity of 72.4% and 78.1% in diagnosis of breast cancer when compared with healthy and benign disease controls, respectively. Moreover, the methylation panel positive group showed significant differences in the following independent variables: (a) involvement of family history of tumors; (b) a low proliferative index, ki-67; (c) high ratios in luminal subtypes. Additionally the panel also complemented some breast cancer cases which were neglected by mammography or ultrasound. These data suggest that epigenetic markers in serum have potential for diagnosis of breast cancer. PMID:26918343

  14. [Male breast cancer].

    PubMed

    Mattson, Johanna; Vehmanen, Leena

    2016-01-01

    Breast cancer is rare in men. Diagnosis of the illness may be delayed due to the fact that the doctor and the patient fail to suspect it. Male breast cancer is treated mainly on the same principles as female breast cancer. A man affected with breast cancer should always be directed to genetic testing, as inherited mutations increasing the risk of developing cancer are more common than in female breast cancer. Most breast cancers in men are hormone receptor positive. Among hormone treatments, the antiestrogen tamoxifen exhibits the best efficacy both in early-state and advanced cases. PMID:27188086

  15. Low Rates of Additional Cancer Detection by Magnetic Resonance Imaging in Newly Diagnosed Breast Cancer Patients Who Undergo Preoperative Mammography and Ultrasonography

    PubMed Central

    Kim, Jisun; Han, Wonshik; Moon, Hyeong-Gon; Ahn, Soo Kyung; Shin, Hee-Chul; You, Jee-Man; Chang, Jung Min; Cho, Nariya; Moon, Woo Kyung; Park, In-Ae

    2014-01-01

    Purpose We evaluated the efficacy of breast magnetic resonance imaging (MRI) for detecting additional malignancies in breast cancer patients newly diagnosed by breast ultrasonography and mammography. Methods We retrospectively reviewed the records of 1,038 breast cancer patients who underwent preoperative mammography, bilateral breast ultrasonography, and subsequent breast MRI between August 2007 and December 2010 at single institution in Korea. MRI-detected additional lesions were defined as those lesions detected by breast MRI that were previously undetected by mammography and ultrasonography and which would otherwise have not been identified. Results Among the 1,038 cases, 228 additional lesions (22.0%) and 30 additional malignancies (2.9%) were detected by breast MRI. Of these 228 lesions, 109 were suspected to be malignant (Breast Imaging-Reporting and Data System category 4 or 5) on breast MRI and second-look ultrasonography and 30 were pathologically confirmed to be malignant (13.2%). Of these 30 lesions, 21 were ipsilateral to the main lesion and nine were contralateral. Fourteen lesions were in situ carcinomas and 16 were invasive carcinomas. The positive predictive value of breast MRI was 27.5% (30/109). No clinicopathological factors were significantly associated with additional malignant foci. Conclusion Breast MRI was useful in detecting additional malignancy in a small number of patients who underwent ultrasonography and mammography. PMID:25013439

  16. Comparison of mammography and ultrasound in detecting residual disease following bioptic lumpectomy in breast cancer patients

    PubMed Central

    WU, XIUFENG; LIN, QINGZHONG; LU, JIANPING; CHEN, GANG; ZENG, YI; LIN, YINGLAN; CHEN, YING; WANG, YAOQIN; YAN, JUN

    2016-01-01

    Surgical biopsy is a method for diagnosing breast cancer. The aim of this study was to prospectively evaluate the relative accuracies of mammography (MMG) and ultrasound (US) in predicting residual disease following bioptic lumpectomy. Each prediction method was compared with the gold standard of surgical pathology. The results of MMG and US from 312 consecutive breast cancer patients diagnosed by surgical excision were analyzed. All the patients underwent re-excision mastectomy or lumpectomy and the imaging results were compared with the histopathological findings. The accuracy and sensitivity of each modality were investigated. A total of 312 patients with 312 primary breast cancers were investigated. Residual disease was identified in 118 patients. Of the 118 cases with residual disease, MMG and US were able to detect 77 (65.3%) and 32 (27.1%), respectively (chi-square P<0.001). MMG was also more sensitive compared with US in estimating residual ductal carcinoma in situ (DCIS) (94.2 vs. 33.3%, respectively; P<0.001). MMG was more accurate compared with US in detecting residual disease following bioptic lumpectomy and the diagnostic accuracy of MMG was associated with the presence of residual DCIS. PMID:26998296

  17. A Protein Microarray Signature of Autoantibody Biomarkers for the Early Detection of Breast Cancer

    PubMed Central

    Anderson, Karen S.; Sibani, Sahar; Wallstrom, Garrick; Qiu, Ji; Mendoza, Eliseo A.; Raphael, Jacob; Hainsworth, Eugenie; Montor, Wagner R.; Wong, Jessica; Park, Jin G.; Lokko, Naa; Logvinenko, Tanya; Ramachandran, Niroshan; Godwin, Andrew K.; Marks, Jeffrey; Engstrom, Paul; LaBaer, Joshua

    2011-01-01

    Cancer patients spontaneously generate autoantibodies (AAb) to tumor-derived proteins.. To detect AAb, we have probed novel high-density custom protein microarrays (NAPPA) expressing 4,988 candidate tumor antigens with sera from patients with early stage breast cancer (IBC), and bound IgG was measured. We used a three-phase serial screening approach. First, a pre-screen was performed to eliminate uninformative antigens. Sera from stage I–III IBC (n=53) and healthy women (n=53) were screened for AAb to all 4,988 protein antigens. Antigens were selected if the 95th percentile of signal of cases and controls were significantly different (p<0.05) and if the number of cases with signals above the 95th percentile of controls was significant (p<0.05). These 761 antigens were screened using an independent set of IBC sera (n=51) and sera from women with benign breast disease (BBD) (n=39). From these, 119 antigens had a partial area under the ROC curve (p<0.05), with sensitivities ranging from 9–40% at >91% specificity. 28 of these antigens were confirmed using an independent serum cohort (n=51 cases/38 controls, p<0.05). Using all 28 AAb, a classifier was identified with a sensitivity of 80.8% and a specificity of 61.6% (AUC=0.756). These are potential biomarkers for the early detection of breast cancer. PMID:20977275

  18. Computer-aided diagnosis and lipidomics analysis to detect and treat breast cancer

    NASA Astrophysics Data System (ADS)

    Meyer-Bäse, Anke; Retter, Felix; Steinbrücker, Frank; Görke, Robert; Burgeth, Bernhard; Schlossbauer, Thomas

    2010-04-01

    Multi-modality diagnosis techniques are more and more replacing traditional medical imaging for breast cancer detection. Newly emerging advances in both intelligent cancer detection systems and lipidomics technologies offer an excellent opportunity to detect tumors and to understand regulation at the molecular level in many diseases such as cancer. In this paper, we present a detailed computer-aided diagnosis (CAD) systems combining motion artefact reduction and automated feature extraction and classification, and a novel data mining approach for visualization of gene therapy leading to apoptosis in U87 MG glioblastoma cells, a secondary tumor of breast cancer. The achieved results show that the CAD system represents a robust and integrative tool for reliable small contrast enhancing lesions. Graph-clustering methods are introduced as powerful correlation networks which enable a simultaneous exploration and visualization of co-regulation in glioblastoma data. These new paradigms are providing unique "fingerprints" by revealing how the intricate interactions at the lipidome level can be employed to induce apoptosis (cell death) and are thus opening a new window to biomedical frontiers.

  19. Stages of Male Breast Cancer

    MedlinePlus

    ... Breast & Gynecologic Cancers Breast Cancer Screening Research Male Breast Cancer Treatment (PDQ®)–Patient Version General Information about Male Breast Cancer Go to Health Professional Version Key Points Male ...

  20. Comparison of Breast Cancer to Healthy Control Tissue Discovers Novel Markers with Potential for Prognosis and Early Detection

    PubMed Central

    Schummer, Michèl; Green, Ann; Beatty, J. David; Karlan, Beth Y.; Karlan, Scott; Gross, Jenny; Thornton, Sean; McIntosh, Martin; Urban, Nicole

    2010-01-01

    This study was initiated to identify biomarkers with potential value for the early detection of poor-outcome breast cancer. Two sets of well-characterized tissues were utilized: one from breast cancer patients with favorable vs. poor outcome and the other from healthy women undergoing reduction mammaplasty. Over 46 differentially expressed genes were identified from a large list of potential targets by a) mining publicly available expression data (identifying 134 genes for quantitative PCR) and b) utilizing a commercial PCR array. Three genes show elevated expression in cancers with poor outcome and low expression in all other tissues, warranting further investigation as potential blood markers for early detection of cancers with poor outcome. Twelve genes showed lower expression in cancers with poor outcome than in cancers with favorable outcome but no differential expression between aggressive cancers and most healthy controls. These genes are more likely to be useful as prognostic tissue markers than as serum markers for early detection of aggressive disease. As a secondary finding was that, when histologically normal breast tissue was removed from a distant site in a breast with cancer, 7 of 38 specimens displayed a cancer-like expression profile, while the remaining 31 were genetically similar to the reduction mammaplasty control group. This finding suggests that some regions of ipsilateral histologically ‘normal’ breast tissue are predisposed to becoming malignant and that normal-appearing tissue with malignant signature might warrant treatment to prevent new primary tumors. PMID:20161755

  1. High-performance near-infrared imaging for breast cancer detection

    NASA Astrophysics Data System (ADS)

    El-Sharkawy, Yasser H.; El-Sherif, Ashraf F.

    2014-01-01

    We present a method for the noninvasive determination of the size, position, and optical properties of tumors in the human breast. The tumor is first detected by photothermal imaging. It is then sized, located, and optically characterized using designed digital image processing and edge-detection pattern recognition. The method assumes that the tumor is spherical and inhomogeneous and embedded in an otherwise homogeneous tissue. Heat energy is deposited in the tissue by absorption of near-infrared (NIR) Nd:YAG laser radiation, and its subsequent conversion to heat via vibrational relaxation causes a rise in temperature of the tissue. The tumor absorbs and scatters NIR light more strongly than the surrounding healthy tissue. Heat will diffuse through the tissue, causing a rise in temperature of the surrounding tissue. Differentiation between normal and cancerous tissues is determined using IR thermal imaging. Results are presented on a 55-year-old patient with a papillary breast cancer. We found that these results provide the clinician with more detailed information about breast lesions detected by photothermal imaging and thereby enhance its potential for specificity.

  2. Treatment of Breast Cancer during Pregnancy

    MedlinePlus

    ... 2016 Back to top » Guide Topics What Is Breast Cancer? Causes, Risk Factors, and Prevention Early Detection, Diagnosis, and Staging Treating Breast Cancer Talking With Your Doctor After Treatment What`s New ...

  3. [Breast cancer imaging].

    PubMed

    Canale, Sandra; Balleyguier, Corinne; Dromain, Clarisse

    2013-12-01

    Imaging of breast cancer is multimodal. Mammography uses X-rays, the development of digital mammography has improved its quality and enabled implementations of new technologies such astomosynthesis (3D mammography) or contrast-enhanced digital mammography. Ultrasound is added to mammography when there is need to improve detection in high-density breast, to characterize an image, or guide apuncture or biopsy. Breast MRI is the most sensitive imaging modality. It detects a possible tumor angiogenesis by highlighting an early and intense contrast uptake. This method has an excellent negative predictive value, but its lack of specificity (false positives) can be problematic, thus it has to be prescribed according to published standards. An imaging breast screening report must be concluded by the BI-RADS lexicon classification of the ACR and recommendations about monitoring or histological verification. PMID:24579332

  4. Primary health care nurses’ knowledge practice and client teaching of early detection measures of breast cancer in Ibadan

    PubMed Central

    2012-01-01

    Background Early detection of breast cancer is vital to effective management and outcome of breast cancer. It has been suggested that women given information and instruction about breast self- examination and breast awareness by health care professionals demonstrated higher knowledge and confidence and tend to practice breast self-examination more than those who received information from other sources. Breast Self-Examination (BSE) and Clinical Breast Examination (CBE) have been recommended as Early Detection Measures (EDM) for developing countries. This study evaluated Primary Health Care (PHC) nurses’ knowledge, practice and client teaching of EDM of breast cancer. Methods A descriptive study that utilized stratified random method to select PHC settings for the study. Data was collected from 120 trained nurses in selected settings. This represented 66.3% of total population of PHC nurses (181) in Ibadan. The instrument for data collection was a structured questionnaire that explored the bio data of participants, knowledge, practice and client teaching of EDMs of breast cancer. Ethical approval was obtained from the Ethical Review Committee of Oyo State Ministry of Health, Nigeria. Results The mean age of the participants was 44.4±7.5 years. About half (52.2%) were double qualified (Registered Nurse and Midwife). Only 23 (20.0%) of the participants considered painless lump as an early sign of breast cancer while 47 (40.9%) considered pain as an early sign. BSE was listed as EDM of breast cancer by 80.9% of the participants while 40% and 30% listed CBE and mammogram respectively. Only eight (7.9%) have had a mammogram. The logistic regression of client teaching on four variables showed that for every increase in knowledge of breast cancer the odds of client teaching significantly increased by 7.5% (95% CI = 1.27 - 1.125). There were also significant relationships between knowledge of EDM, practice of BSE and client teaching. Conclusions It is vital that

  5. Stacked Sparse Autoencoder (SSAE) for Nuclei Detection on Breast Cancer Histopathology Images.

    PubMed

    Xu, Jun; Xiang, Lei; Liu, Qingshan; Gilmore, Hannah; Wu, Jianzhong; Tang, Jinghai; Madabhushi, Anant

    2016-01-01

    Automated nuclear detection is a critical step for a number of computer assisted pathology related image analysis algorithms such as for automated grading of breast cancer tissue specimens. The Nottingham Histologic Score system is highly correlated with the shape and appearance of breast cancer nuclei in histopathological images. However, automated nucleus detection is complicated by 1) the large number of nuclei and the size of high resolution digitized pathology images, and 2) the variability in size, shape, appearance, and texture of the individual nuclei. Recently there has been interest in the application of "Deep Learning" strategies for classification and analysis of big image data. Histopathology, given its size and complexity, represents an excellent use case for application of deep learning strategies. In this paper, a Stacked Sparse Autoencoder (SSAE), an instance of a deep learning strategy, is presented for efficient nuclei detection on high-resolution histopathological images of breast cancer. The SSAE learns high-level features from just pixel intensities alone in order to identify distinguishing features of nuclei. A sliding window operation is applied to each image in order to represent image patches via high-level features obtained via the auto-encoder, which are then subsequently fed to a classifier which categorizes each image patch as nuclear or non-nuclear. Across a cohort of 500 histopathological images (2200 × 2200) and approximately 3500 manually segmented individual nuclei serving as the groundtruth, SSAE was shown to have an improved F-measure 84.49% and an average area under Precision-Recall curve (AveP) 78.83%. The SSAE approach also out-performed nine other state of the art nuclear detection strategies. PMID:26208307

  6. Breast cancer staging

    MedlinePlus

    ... this page: //medlineplus.gov/ency/patientinstructions/000911.htm Breast cancer staging To use the sharing features on this ... Once your health care team knows you have breast cancer , they will do more tests to stage it. ...

  7. Stages of Breast Cancer

    MedlinePlus

    ... to treat breast cancer. Internal radiation therapy with strontium-89 (a radionuclide ) is used to relieve bone pain ... breast cancer that has spread to the bones. Strontium-89 is injected into a vein and travels to ...

  8. Breast Cancer Treatment

    MedlinePlus

    ... to treat breast cancer. Internal radiation therapy with strontium-89 (a radionuclide ) is used to relieve bone pain ... breast cancer that has spread to the bones. Strontium-89 is injected into a vein and travels to ...

  9. Breast cancer in men

    MedlinePlus

    ... Johnson KC, Olsson H, Casagrande JT, et al. Anthropometric and hormonal risk factors for male breast cancer: ... D, Ferlay J, Brinton LA, Cook MB. An international comparison of male and female breast cancer incidence ...

  10. Design and evaluation of a novel breast cancer detection system combining both thermoacoustic (TA) and photoacoustic (PA) tomography

    PubMed Central

    Pramanik, Manojit; Ku, Geng; Li, Changhui; Wang, Lihong V.

    2008-01-01

    We have developed a novel scanner for breast cancer detection, integrating both thermoacoustic and photoacoustic techniques to achieve dual contrast (microwave and light absorption) imaging. This scanner is nonionizing, low cost, and can potentially provide high-resolution, dual modality three-dimensional images of the breast. The scanner uses front instead of side breast compression and dry instead of gel ultrasonic coupling. Here we present the design of the breast scanner along with initial tissue phantom study results as a precursor to an actual patient study. PMID:18649451

  11. Breast cancer detection based on serum sample surface enhanced Raman spectroscopy.

    PubMed

    Vargas-Obieta, Enrique; Martínez-Espinosa, Juan Carlos; Martínez-Zerega, Brenda Esmeralda; Jave-Suárez, Luis Felipe; Aguilar-Lemarroy, Adriana; González-Solís, José Luis

    2016-09-01

    Raman spectroscopy is a vibrational technique which provides information about the chemical structure. Nevertheless, since many chemicals are present in a sample at very low concentration, the Raman signal observed is extremely weak. In surface enhanced Raman scattering (SERS), Raman signals can be enhanced by many orders of magnitude when nanoparticles are used. To the best of our knowledge, this is the first report in the breast cancer detection based on serum SERS. The serum samples were obtained from 12 patients who were clinically diagnosed with advanced breast cancer and 15 controls. In the same proportion, the serum samples were mixed with colloidal gold nanoparticles of 40 nm using sonication. At least 10 spectra were collected of each serum sample using a Jobin-Yvon LabRAM Raman Spectrometer with a laser of 830 nm. Raw spectra were processed by carrying baseline correction, smoothing, and normalization and then analyzed using principle component analysis (PCA) and linear discriminant analysis (LDA). Raman spectra showed strongly enhanced bands in the 600-1800 cm (-1) range due to the nanoparticle colloidal clusters observed. These Raman bands allowed identifying biomolecules present at low concentration as amide I and III, β carotene, glutathione, tryptophan, tyrosine, and phenylalanine. Preliminary results demonstrated that SERS and PCA-LDA can be used to discriminate between control and cancer samples with high sensitivity and specificity. SERS allowed short exposures and required a minimal sample preparation. The preliminary results suggest that SERS and PCA-LDA could be an excellent support technique for the breast cancer detection using serum samples. PMID:27289243

  12. Breast cancer detection based on time reversal and the optical theorem

    NASA Astrophysics Data System (ADS)

    Marengo, Edwin A.; Tu, Jing

    2015-03-01

    We report a wave physics-based approach to change detection which can be used to detect anomalies in biological tissues such as cancer lesions from active sensing data. Of particular interest are nonionizing radiation methods such as microwave breast imaging, ultrasound imaging, and diffuse optical tomography. The biological medium surrounding the target of interest, e.g., a tumor, is assumed to be highly nonhomogeneous and reverberating. This implies that there are in general multiple paths for the propagation of wave signals from an interior domain where the target of interest is located to the sensing aperture where the scattered fields are measured. Two physical concepts are used to exploit this rich multipath environment so as to enhance change detection performance: wave time reversal, and the optical theorem which describes energy conservation in scattering phenomena. Previous related work has reported the use of time reversal for breast cancer detection. We use not only time reversal, but also the optical theorem, and propose novel algorithms based on both.

  13. The impact of early detection and intervention of breast cancer-related lymphedema: a systematic review.

    PubMed

    Shah, Chirag; Arthur, Douglas W; Wazer, David; Khan, Atif; Ridner, Sheila; Vicini, Frank

    2016-06-01

    Breast cancer-related lymphedema (BCRL) has become an increasingly important clinical issue as noted by the recent update of the 2015 NCCN breast cancer guidelines which recommends to "educate, monitor, and refer for lymphedema management." The purpose of this review was to examine the literature regarding early detection and management of BCRL in order to (1) better characterize the benefit of proactive surveillance and intervention, (2) clarify the optimal monitoring techniques, and (3) help better define patient groups most likely to benefit from surveillance programs. A Medline search was conducted for the years 1992-2015 to identify articles addressing early detection and management of BCRL. After an initial search, 127 articles were identified, with 13 of these studies focused on early intervention (three randomized (level of evidence 1), four prospective (level of evidence 2-3), six retrospective trials (level of evidence 4)). Data from two, small (n = 185 cases), randomized trials with limited follow-up demonstrated a benefit to early intervention (physiotherapy, manual lymphatic drainage) with regard to reducing the rate of chronic BCRL (>50% reduction) with two additional studies underway (n = 1280). These findings were confirmed by larger prospective and retrospective series. Several studies were identified that demonstrate that newer diagnostic modalities (bioimpedance spectroscopy, perometry) have increased sensitivity allowing for the earlier detection of BCRL. Current data support the development of surveillance programs geared toward the early detection and management of BCRL in part due to newer, more sensitive diagnostic modalities. PMID:26993371

  14. Detection of high-grade atypia nuclei in breast cancer imaging

    NASA Astrophysics Data System (ADS)

    Noël, Henri; Roux, Ludovic; Lu, Shijian; Boudier, Thomas

    2015-03-01

    Along with mitotic count, nuclear pleomorphism or nuclear atypia is an important criterion for the grading of breast cancer in histopathology. Though some works have been done in mitosis detection (ICPR 2012,1 MICCAI 2013,2 and ICPR 2014), not much work has been dedicated to automated nuclear atypia grading, especially the most difficult task of detection of grade 3 nuclei. We propose the use of Convolutional Neural Networks for the automated detection of cell nuclei, using images from the three grades of breast cancer for training. The images were obtained from ICPR contests. Additional manual annotation was performed to classify pixels into five classes: stroma, nuclei, lymphocytes, mitosis and fat. At total of 3,000 thumbnail images of 101 × 101 pixels were used for training. By dividing this training set in an 80/20 ratio we could obtain good training results (around 90%). We tested our CNN on images of the three grades which were not in the training set. High grades nuclei were correctly classified. We then thresholded the classification map and performed basic analysis to keep only rounded objects. Our results show that mostly all atypical nuclei were correctly detected.

  15. Effects of Age on the Detection and Management of Breast Cancer

    PubMed Central

    McGuire, Andrew; Brown, James A. L.; Malone, Carmel; McLaughlin, Ray; Kerin, Michael J.

    2015-01-01

    Currently, breast cancer affects approximately 12% of women worldwide. While the incidence of breast cancer rises with age, a younger age at diagnosis is linked to increased mortality. We discuss age related factors affecting breast cancer diagnosis, management and treatment, exploring key concepts and identifying critical areas requiring further research. We examine age as a factor in breast cancer diagnosis and treatment relating it to factors such as genetic status, breast cancer subtype, hormone factors and nodal status. We examine the effects of age as seen through the adoption of population wide breast cancer screening programs. Assessing the incidence rates of each breast cancer subtype, in the context of age, we examine the observed correlations. We explore how age affects patient’s prognosis, exploring the effects of age on stage and subtype incidence. Finally we discuss the future of breast cancer diagnosis and treatment, examining the potential of emerging tests and technologies (such as microRNA) and how novel research findings are being translated into clinically relevant practices. PMID:26010605

  16. The efficacy of Stokes Shift Spectroscopy for detecting prostate and breast cancer tissues

    NASA Astrophysics Data System (ADS)

    Pu, Yang; Wang, W. B.; Yang, Yuanlong; Alfano, Robert R.

    2013-03-01

    Stokes Shift Spectroscopy (S3) offers a novel way to rapidly measure spectral fingerprints of complex molecular mixtures in tissue. The changes of key fluorophores from normal state to the malignant state can be reflected by alteration of Stokes Shift Spectra (S3 spectra). S3 measurements can be used to acquire enough information of different key fluorophores from one spectrum to speed up spectral acquisition time. In this study, we demonstrate the usefulness of the S3 technique to distinguish the malignant tissue from the normal prostate and breast tissues. The optimal wavelength shift constant (Δλc) of S3 spectra measurements for prostate/breast cancer detection were determined to be 40 nm. The underlying physical and biological basis for S3 is discussed. For the first time, our work explicitly discloses how and why S3 is supreme in comparison with other conventional spectroscopic techniques.

  17. CT Findings of Axillary Tuberculosis Lymphadenitis: A Case Detected by Breast Cancer Screening Examination

    PubMed Central

    Tanada, Yasuko; Yoshida, Kouichi; Adachi, Yasuko; Matsui, Kazuhiro

    2016-01-01

    We report the first description of CT findings of axillary tuberculous lymphadenitis confirmed by the pathological specimen. The breast cancer screening examination is one of the prime methods of detection of axillary tuberculous lymphadenitis. The most common site of axillary tuberculous lymphadenitis is the deep axilla. Screening mammography often fails to cover the whole axilla. The presence on the contrast-enhanced CT of unilateral multiple circumscribed dense nodes, some of which have large and dotted calcifications, might suggest tuberculous lymphadenitis in axillary region. PMID:27379192

  18. Breast Cancer Knowledge, Attitudes, and Early Detection Practices in United States-Mexico Border Latinas

    PubMed Central

    Bird, Yelena; Moraros, John; King, Sasha; Prapsiri, Surasri; Thompson, Beti

    2012-01-01

    Abstract Introduction Evidence suggests Latinas residing along the United States-Mexico border face higher breast cancer mortality rates compared to Latinas in the interior of either country. The purpose of this study was to investigate breast cancer knowledge, attitudes, and use of breast cancer preventive screening among U.S. Latina and Mexican women residing along the U.S.-Mexico border. Methods For this binational cross-sectional study, 265 participants completed an interviewer-administered questionnaire that obtained information on sociodemographic characteristics, knowledge, attitudes, family history, and screening practices. Differences between Mexican (n=128) and U.S. Latina (n=137) participants were assessed by Pearson's chi-square, Fischer's exact test, t tests, and multivariate regression analyses. Results U.S. Latinas had significantly increased odds of having ever received a mammogram/breast ultrasound (adjusted odds ratio [OR]=2.95) and clinical breast examination (OR=2.67) compared to Mexican participants. A significantly greater proportion of Mexican women had high knowledge levels (54.8%) compared to U.S. Latinas (45.2%, p<0.05). Age, education, and insurance status were significantly associated with breast cancer screening use. Conclusions Despite having higher levels of breast cancer knowledge than U.S. Latinas, Mexican women along the U.S.-Mexico border are not receiving the recommended breast cancer screening procedures. Although U.S. border Latinas had higher breast cancer screening levels than their Mexican counterparts, these levels are lower than those seen among the general U.S. Latina population. Our findings underscore the lack of access to breast cancer prevention screening services and emphasize the need to ensure that existing breast cancer screening programs are effective in reaching women along the U.S.-Mexico border. PMID:21970564

  19. Full Angle Spatial Compound of ARFI images for breast cancer detection.

    PubMed

    González-Salido, Nuria; Medina, Luis; Camacho, Jorge

    2016-09-01

    Automated ultrasound breast imaging would overcome most of the limitations that precludes conventional hand-held echography to be an effective screening method for breast cancer diagnosis. If a three dimensional (3D) ultrasound dataset is acquired without manual intervention of the technician, repeatability and patient follow-up could be improved. Furthermore, depending on the system configuration, resolution and contrast could be enhanced with regard to conventional echography, improving lesion detectability and evaluation. Having multiple modalities is another major advantage of these automated systems, currently under development by several research groups. Because of their circular structure, some of them include through-transmission measurements that allow constructing speed of sound and attenuation maps, which adds complementary information to the conventional reflectivity B-Mode image. This work addresses the implementation of the Acoustic Radiation Force Impulse (ARFI) imaging technique in a Full Angle Spatial Compound (FASC) automated breast imaging system. It is of particular interest because of the high specificity of ARFI for breast cancer diagnosis, by representing tissue elasticity differences rather than acoustic reflectivity. First, the image formation process is analyzed and a compounding strategy is proposed for ARFI-FASC. Then, experimental results with a prototype system and two gelatin phantoms are presented: Phantom A with a hard inclusion in a soft background, and phantom B with three soft inclusions in a hard background and with three steel needles. It is demonstrated that the full angle composition of ARFI images improves image quality, enhancing Contrast to Noise Ratio (CNR) from 4.9 to 20.6 and 3.6 to 13.5 in phantoms A and B respectively. Furthermore, this CNR increase improved detectability of small structures (needles) with regard to images obtained from a single location, in which image texture masked their presence. PMID:27362998

  20. Classifying patients for breast cancer by detection of autoantibodies against a panel of conformation-carrying antigens.

    PubMed

    Evans, Rick L; Pottala, James V; Egland, Kristi A

    2014-05-01

    Patients with breast cancer elicit an autoantibody response against cancer proteins, which reflects and amplifies the cellular changes associated with tumorigenesis. Detection of autoantibodies in plasma may provide a minimally invasive mechanism for early detection of breast cancer. To identify cancer proteins that elicit a humoral response, we generated a cDNA library enriched for breast cancer genes that encode membrane and secreted proteins, which are more likely to induce an antibody response compared with intracellular proteins. To generate conformation-carrying antigens that are efficiently recognized by patients' antibodies, a eukaryotic expression strategy was established. Plasma from 200 patients with breast cancer and 200 age-matched healthy controls were measured for autoantibody activity against 20 different antigens designed to have conformational epitopes using ELISA. A conditional logistic regression model was used to select a combination of autoantibody responses against the 20 different antigens to classify patients with breast cancer from healthy controls. The best combination included ANGPTL4, DKK1, GAL1, MUC1, GFRA1, GRN, and LRRC15; however, autoantibody responses against GFRA1, GRN, and LRRC15 were inversely correlated with breast cancer. When the autoantibody responses against the 7 antigens were added to the base model, including age, BMI, race and current smoking status, the assay had the following diagnostic capabilities: c-stat (95% CI), 0.82 (0.78-0.86); sensitivity, 73%; specificity, 76%; and positive likelihood ratio (95% CI), 3.04 (2.34-3.94). The model was calibrated across risk deciles (Hosmer-Lemeshow, P = 0.13) and performed well in specific subtypes of breast cancer including estrogen receptor positive, HER-2 positive, invasive, in situ and tumor sizes >1 cm. PMID:24641868

  1. Breast Cancer Redox Heterogeneity Detectable with Chemical Exchange Satruation Transfer (CEST) MRI

    PubMed Central

    Cai, Kejia; Xu, He N.; Singh, Anup; Moon, Lily; Haris, Mohammad; Reddy, Ravinder; Li, Lin

    2014-01-01

    Purpose Tissue redox state is an important mediator of various biological processes in health and diseases such as cancer. Previously, we discovered that the mitochondrial redox state of ex vivo tissues detected by redox scanning (an optical imaging method) revealed interesting tumor redox state heterogeneity that could differentiate tumor aggressiveness. Because the noninvasive chemical exchange saturation transfer (CEST) MRI can probe the proton transfer and generate contrasts from endogenous metabolites, we aim to investigate if the in vivo CEST contrast is sensitive to proton transfer of the redox reactions so as to reveal the tissue redox states in breast cancer animal models. Procedures CEST MRI has been employed to characterize tumor metabolic heterogeneity and correlated with the redox states measured by the redox scanning in two human breast cancer mouse xenograft models, MDA-MB-231 and MCF-7. The possible biological mechanism on the correlation between the two imaging modalities was further investigated by phantom studies where the reductants and the oxidants of the representative redox reactions were measured. Results The CEST contrast is found linearly correlated with NADH concentration and the NADH redox ratio with high statistical significance, where NADH is the reduced form of nicotinamide adenine dinucleotide. The phantom studies showed that the reductants of the redox reactions have more CEST contrast than the corresponding oxidants, indicating that higher CEST effect corresponds to the more reduced redox state. Conclusions This preliminary study suggests that CEST MRI, once calibrated, might provide a novel noninvasive imaging surrogate for the tissue redox state and a possible diagnostic biomarker for breast cancer in the clinic. PMID:24811957

  2. Early stage breast cancer detection by means of time-domain ultra-wide band sensing

    NASA Astrophysics Data System (ADS)

    Zanoon, T. F.; Abdullah, M. Z.

    2011-11-01

    The interest in the use of ultra-wide band (UWB) impulses for medical imaging, particularly early stage breast cancer detection, is driven by safety advantage, super resolution capability, significant dielectric contrast between tumours and their surrounding tissues, patient convenience and low operating costs. However, inversion algorithms leading to recovery of the dielectric profile are complex in their nature, and vulnerable to noisy experimental conditions and environment. In this paper, we present a simplified yet robust gradient-based iterative image reconstruction technique to solve the nonlinear inverse scattering problem. The calculation is based on the Polak-Ribière's approach while the Broyden's formula is used to update the gradient in an iterative scheme. To validate this approach, both numerical and experimental results are presented. Animal derived biological targets in the form of chicken skin, beef and salted butter are used to construct an experimental breast phantom, while vegetable oil is used as a background media. UWB transceivers in the form of biconical antennas contour the breast forming a full view scanning geometry at a frequency range of 0-5 GHz. Results indicate the feasibility of experimental detection of millimetre scaled targets.

  3. Computer-aided detection of breast cancer on mammograms: a swarm intelligence optimized wavelet neural network approach.

    PubMed

    Dheeba, J; Albert Singh, N; Tamil Selvi, S

    2014-06-01

    Breast cancer is the second leading cause of cancer death in women. Accurate early detection can effectively reduce the mortality rate caused by breast cancer. Masses and microcalcification clusters are an important early signs of breast cancer. However, it is often difficult to distinguish abnormalities from normal breast tissues because of their subtle appearance and ambiguous margins. Computer aided diagnosis (CAD) helps the radiologist in detecting the abnormalities in an efficient way. This paper investigates a new classification approach for detection of breast abnormalities in digital mammograms using Particle Swarm Optimized Wavelet Neural Network (PSOWNN). The proposed abnormality detection algorithm is based on extracting Laws Texture Energy Measures from the mammograms and classifying the suspicious regions by applying a pattern classifier. The method is applied to real clinical database of 216 mammograms collected from mammogram screening centers. The detection performance of the CAD system is analyzed using Receiver Operating Characteristic (ROC) curve. This curve indicates the trade-offs between sensitivity and specificity that is available from a diagnostic system, and thus describes the inherent discrimination capacity of the proposed system. The result shows that the area under the ROC curve of the proposed algorithm is 0.96853 with a sensitivity 94.167% of and specificity of 92.105%. PMID:24509074

  4. Contribution to the design and implementation of a microwave tomography system for breast cancer detection

    NASA Astrophysics Data System (ADS)

    Diaz Bolado, Alvaro

    This thesis represents a contribution to the design and implementation of a microwave tomography system applied to breast cancer detection. Microwave tomography is an imaging technique that aims to reconstruct the permittivity and conductivity of an unknown object from measurements of its scattered field. This technique has been used in a variety of applications such as non-destructive testing, geophysical surveys and biomedical imaging. Here, we will concentrate in the breast cancer detection, where this technique have received a lot of attention in the recent years. A microwave tomography system usually involves two separate parts, a measurement system capable of performing accurate measurements of the scattered field and a set of algorithms for solving the inverse problem of retrieving the permittivity and conductivity spatial distribution of the unknown object from the scattered field measurements. This inverse problem is particularly difficult to solve, since it is non-linear and ill posed. In order to achieve a good reconstruction of the object, we need to illuminate it under several independent conditions, such as different antenna positions, frequencies or polarizations. In this thesis, we concentrate in the design of an efficient illumination configuration that tries to maximize the quality of the reconstructed images. After a litterature review, it is observed that most of the proposed measurement systems share a common configuration, where in order to maximize the comfort of the patient, the antennas are arranged in a cylindrical or hemi-spherical configuration. On the other hand, the most popular method for breast cancer detection is mammography, where a X-ray image of the compressed breast at two different projections is performed. Taking this into account, two alternative configurations based on a compression of the breast are proposed, the camera and waveguide configurations. The main hypothesis behind this proposition is that a compression of the

  5. Breast Cancer Rates by State

    MedlinePlus

    ... Associated Lung Ovarian Prostate Skin Uterine Cancer Home Breast Cancer Rates by State Language: English Español (Spanish) Recommend ... from breast cancer each year. Rates of Getting Breast Cancer by State The number of people who get ...

  6. A proven and highly cost-effective method of early detection of breast cancer for developing countries.

    PubMed

    Rebentisch, D P; Rebentisch, H D; Thomas, K; Karat, S; Jadhav, A J

    1995-12-01

    Carcinoma of the breast is the third most common cancer in Indian women. With rapid industrialization and effective control of communicable diseases, better diagnostic and treatment facilities, cancer is emerging as a major health problem. Since early detection is the only way to reduce morbidity and mortality from breast cancer, we undertook a pilot project to evaluate efficacy of using existing manpower and resources for screening women in the high risk group. Methodology pros and cons, results, and recommendations are presented. Our method can be adopted by any developing country interested in a screening programme for malignant disease. PMID:8746595

  7. Data mining approach to evaluating the use of skin surface electropotentials for breast cancer detection.

    PubMed

    Sree, S Vinitha; Ng, E Y K; Acharya, U Rajendra

    2010-02-01

    The Biofield Diagnostic System (BDS) uses a score formed with measured skin surface electropotentials and a prior Level Of Suspicion (LOS) value (predicted by the physician based on the patient's ultrasound or mammography results) to calculate a revised Post-BDS LOS to indicate the presence of breast cancer. The demographic details, BDS test results, and the recorded electropotential values form a potentially useful dataset, which can be further explored with data mining tools to extract important information that can be used to improve the current predictive accuracy of the device. According to the proposed data mining framework, the BDS dataset with 291 cases was first pre-processed to remove outliers and then used to select relevant and informative features for classifier development and finally to evaluate the capability of the built classifiers in detecting the presence of the disease. Two popular feature selection techniques, namely, the filter and wrapper methods, were used in parallel for feature selection. A few statistical inference based classifiers and neural networks were used for classification. The proposed technique significantly improved the BDS prediction accuracy. Also, the use of prior LOS and, hence, the Post-BDS LOS, associates a mild subjective interpretation to the current prediction methodology used by BDS. However, the feature subset selected in our analysis that gave the best accuracy did not use either of these features. This result indicates the possibility of using BDS as a better objective assessment tool for breast cancer detection. PMID:20082535

  8. Prognostic value of cathepsin D in breast cancer: comparison of immunohistochemical and immunoradiometric detection methods.

    PubMed Central

    Göhring, U J; Scharl, A; Thelen, U; Ahr, A; Crombach, G; Titius, B R

    1996-01-01

    AIM: To test whether immunoradiometric or immunohistochemical detection of lysosomal protease cathepsin D in breast cancer is more predictive of outcome. METHODS: Tumour tissues from 270 primary breast cancer patients were evaluated for the expression of cathepsin D using immunohistochemistry (IH; paraffin embedded tissues) and an immunoradiometric assay (IRMA; cytosol from frozen tissues). Immunohistochemical scores were based on immunoreaction in tumour cells and tumour associated macrophages. RESULTS: IRMA values (cut off 40 fmol/mg cell protein) correlated significantly with IH values. Recorded incidences of positive immunoreaction in tumour cells using two different cut off values were 52% and 35%, respectively. Macrophages stained positive in 31% of tissues. Combined evaluation of tumour cells and macrophages resulted in positivity rates of 59% and 48%, respectively. Node status was the only variable found to correlate with cathepsin D expression. IH results correlated significantly with clinical outcome (median observation time 68 months) in node negative patients (n = 120) but not in node positive patients (n = 145). Cathepsin D positivity as measured by IRMA was not related to clinical outcome in either group. On multivariate analysis in the node negative group, IH detection of cathepsin D appeared to be the only independent factor indicating prognosis. For node positive patients, tumour grade, size, and receptor status were of prognostic relevance. CONCLUSIONS: Because of the simple methodology and the minimal amount of tissue used for analysis, immunohistochemistry was preferred to immunoradiometry for cathepsin D measurement; it also provided more predictive data with respect to prognosis. PMID:8666688

  9. Imaging of Her2-Targeted Magnetic Nanoparticles for Breast Cancer Detection: Comparison of SQUID-detected Magnetic Relaxometry and MRI

    PubMed Central

    Adolphi, Natalie L.; Butler, Kimberly S.; Lovato, Debbie M.; Tessier, T. E.; Trujillo, Jason E.; Hathaway, Helen J.; Fegan, Danielle L.; Monson, Todd C.; Stevens, Tyler E.; Huber, Dale L.; Ramu, Jaivijay; Milne, Michelle L.; Altobelli, Stephen A.; Bryant, Howard C.; Larson, Richard S.; Flynn, Edward R.

    2013-01-01

    Both magnetic relaxometry and magnetic resonance imaging (MRI) can be used to detect and locate targeted magnetic nanoparticles, non-invasively and without ionizing radiation. Magnetic relaxometry offers advantages in terms of its specificity (only nanoparticles are detected) and the linear dependence of the relaxometry signal on the number of nanoparticles present. In this study, detection of single-core iron oxide nanoparticles by Superconducting Quantum Interference Device (SQUID)-detected magnetic relaxometry and standard 4.7 T MRI are compared. The nanoparticles were conjugated to a Her2 monoclonal antibody and targeted to Her2-expressing MCF7/Her2-18 breast cancer cells); binding of the nanoparticles to the cells was assessed by magnetic relaxometry and iron assay. The same nanoparticle-labeled cells, serially diluted, were used to assess the detection limits and MR relaxivities. The detection limit of magnetic relaxometry was 125,000 nanoparticle-labeled cells at 3 cm from the SQUID sensors. T2-weighted MRI yielded a detection limit of 15,600 cells in a 150 μl volume, with r1 = 1.1 mM−1s−1 and r2 = 166 mM−1s−1. Her2-targeted nanoparticles were directly injected into xenograft MCF7/Her2-18 tumors in nude mice, and magnetic relaxometry imaging and 4.7 T MRI were performed, enabling direct comparison of the two techniques. Co-registration of relaxometry images and MRI of mice resulted in good agreement. A method for obtaining accurate quantification of microgram quantities of iron in the tumors and liver by relaxometry was also demonstrated. These results demonstrate the potential of SQUID-detected magnetic relaxometry imaging for the specific detection of breast cancer and the monitoring of magnetic nanoparticle-based therapies. PMID:22539401

  10. Mammography use and mode of detection among breast cancer patients in Estonia.

    PubMed

    Innos, Kaire; Valvere, Vahur; Padrik, Peeter; Eelma, Evelyn; Kütner, Riina; Lehtsaar, Jaak; Tekkel, Mare

    2016-01-01

    The aim of this study was to examine past mammography use and mode of detection among breast cancer (BC) patients in Estonia, a country that has low screening coverage and high BC mortality. Women newly diagnosed with primary BC in Estonia in 2008-2010 were interviewed. Determinants of past mammography use and the detection of BC by mammography were studied using multivariate logistic regression. Among 977 participants, almost half reported no mammograms prior to the detection of BC. Overall, 22% of the cases were detected by mammography (16% by screening mammography). Detection by mammography was strongly related to age, past mammography use, and obesity. Among cases detected by mammography, 10% were stage III/IV at diagnosis (32% among cases detected by other modes). This study showed low mammography utilization and high rate of self-detection of BC in Estonia. Increased detection by mammography would help diagnose the disease at an earlier stage and consequently avoid premature BC deaths. Efforts should be undertaken to increase participation in screening and improve the availability of mammography among older and high-risk women. The results are likely to be relevant for other countries and population groups with low screening coverage. PMID:26327255

  11. Consumer Health Education. Breast Cancer.

    ERIC Educational Resources Information Center

    Arkansas Univ., Fayetteville, Cooperative Extension Service.

    This short booklet is designed to be used by health educators when teaching women about breast cancer and its early detection and the procedure for breast self-examination. It includes the following: (1) A one-page teaching plan consisting of objectives, subject matter, methods (including titles of films and printed materials), target audience,…

  12. Navigation surgery for intraoperative sentinel lymph node detection using Indocyanine green (ICG) fluorescence real-time imaging in breast cancer.

    PubMed

    Toh, U; Iwakuma, N; Mishima, M; Okabe, M; Nakagawa, S; Akagi, Y

    2015-09-01

    A new sensitive fluorescence imaging system was developed for the real-time identification of sentinel lymph nodes (SLNs) in patients with early breast cancer. The purpose of this study was to evaluate the utility of a color charge-coupled device camera system for the intraoperative detection of SLNs and to determine its clinical efficacy and sensitivity in patients with operable breast cancer. We assessed a total of 168 patients diagnosed with or suspected of having early-stage breast cancer without metastasis in SLNs. The intraoperative detection of SLNs was performed using the conventional Indigo Carmine dye (indigotindisulfonate sodium) technique combined with a new Indocyanine green (ICG) imaging system (HyperEye Medical System: HEMS, MIZUHO IKAKOGYO, Japan) to map SLNs, in which the lymphatic vessels and SLNs were visualized transcutaneously with illuminating ICG fluorescence. Between January 2012 and May 2013, SLNs were successfully identified in all 168 patients (detection rate: 100%). By histopathology, the sensitivity was 93.8% for the detection of the metastatic involvement of SLNs (15 of 16 nodal-positive patients). After a median follow-up of 30.5 months, none of the patients presented with axillary recurrence. These results suggest that the HEMS imaging system is a feasible and effective method for the detection of SLNs in breast cancer. Furthermore, the HEMS device permitted the transcutaneous visualization of lymphatic vessels under light conditions, thus facilitating the identification and detection of SLNs without affecting the surgical procedure, together with a high sensitivity and specificity. PMID:26267663

  13. Occurrence of Breast Cancer After Chest Wall Irradiation for Pediatric Cancer, as Detected by a Multimodal Screening Program

    SciTech Connect

    Terenziani, Monica; Casalini, Patrizia; Scaperrotta, Gianfranco; Gandola, Lorenza; Trecate, Giovanna; Catania, Serena; Cefalo, Graziella; Conti, Alberto; Massimino, Maura; Meazza, Cristina; Podda, Marta; Spreafico, Filippo; Suman, Laura; Gennaro, Massimiliano

    2013-01-01

    Purpose: To assess the occurrence of breast cancer (BC) after exposure to ionizing radiation for pediatric cancer, by means of a multimodal screening program. Patients and Methods: We identified 86 patients who had received chest wall radiation therapy for pediatric cancer. Clinical breast examination (CBE), ultrasound (US), and mammography (MX) were performed yearly. Magnetic resonance imaging (MRI) was added as of October 2007. We calculated the risk of developing BC by radiation therapy dose, patient age, and menarche before or after primary treatment. Results: Eleven women developed a BC from July 2002-February 2010. The sensitivity of the screening methods was 36% for CBE, 73% for MX, 55% for US, and 100% for MRI; the specificity was 91%, 99%, 95%, and 80% for CBE, MX, US, and MRI, respectively. The annual BC detection rate was 2.9%. The median age at BC diagnosis was 33 years. Although age had no influence, menarche before as opposed to after radiation therapy correlated significantly with BC (P=.027): the annual BC detection rate in the former subgroup was 5.3%. Conclusions: Mammography proved more sensitive and specific in our cohort of young women than CBE or US. Magnetic resonance imaging proved 100% sensitive (but this preliminary finding needs to be confirmed). Our cohort of patients carries a 10-fold BC risk at an age more than 20 years younger than in the general population.

  14. Molecular detection of peripheral blood breast cancer mRNA transcripts as a surrogate biomarker for circulating tumor cells.

    PubMed

    Lasa, Adriana; Garcia, Arnal; Alonso, Carmen; Millet, Pilar; Cornet, Mónica; Ramón y Cajal, Teresa; Baiget, Montserrat; Barnadas, Agusti

    2013-01-01

    Circulating tumor cells (CTCs) are becoming a scientifically recognized indicator of primary tumors and/or metastasis. These cells can now be accurately detected and characterized as the result of technological advances. We analyzed the presence of CTCs in the peripheral blood of patients with metastatic breast cancer by real-time reverse-transcription PCR (RT-qPCR) using a panel of selected genes. The analysis of a single marker, without an EpCAM based enrichment approach, allowed the positive identification of 35% of the metastatic breast cancer patients. The analysis of five genes (SCGB2, TFF1, TFF3, Muc1, KRT20) performed in all the samples increased the detection to 61%. We describe a sensitive, reproducible and easy to implement approach to characterize CTC in patients with metastasic breast cancer. PMID:24058517

  15. Molecular Detection of Peripheral Blood Breast Cancer mRNA Transcripts as a Surrogate Biomarker for Circulating Tumor Cells

    PubMed Central

    Lasa, Adriana; Garcia, Arnal; Alonso, Carmen; Millet, Pilar; Cornet, Mónica; Cajal, Teresa Ramón y; Baiget, Montserrat; Barnadas, Agusti

    2013-01-01

    Circulating tumor cells (CTCs) are becoming a scientifically recognized indicator of primary tumors and/or metastasis. These cells can now be accurately detected and characterized as the result of technological advances. We analyzed the presence of CTCs in the peripheral blood of patients with metastatic breast cancer by real-time reverse-transcription PCR (RT-qPCR) using a panel of selected genes. The analysis of a single marker, without an EpCAM based enrichment approach, allowed the positive identification of 35% of the metastatic breast cancer patients. The analysis of five genes (SCGB2, TFF1, TFF3, Muc1, KRT20) performed in all the samples increased the detection to 61%. We describe a sensitive, reproducible and easy to implement approach to characterize CTC in patients with metastasic breast cancer. PMID:24058517

  16. Detection of radiotherapy-induced myocardial changes by ultrasound tissue characterisation in patients with breast cancer.

    PubMed

    Tuohinen, Suvi Sirkku; Skyttä, Tanja; Virtanen, Vesa; Virtanen, Marko; Luukkaala, Tiina; Kellokumpu-Lehtinen, Pirkko-Liisa; Raatikainen, Pekka

    2016-05-01

    Radiotherapy (RT) in the thoracic region is associated with an increased risk of late cardiovascular morbidity and mortality. Ultrasonic tissue characterisation (UTC) is a non-invasive method of identifying changes in myocardial tissue, such as increased fibrosis. The aim of this study was to assess whether UTC can detect early RT-induced myocardial alterations. Seventy-eight eligible patients with early stage breast cancer were evaluated before and immediately after RT. Twenty patients had right-sided and 58 left-sided breast cancer. None received chemotherapy. A comprehensive echocardiographic examination included 3D measurements and UTC of the right ventricular (RV) free wall, ventricular septum and left ventricular (LV) posterior wall. Integrated backscatter calibration was done for the pericardium (cpIBS) and LV cavity (ccIBS). RT for left-sided breast cancer was associated with increased echodensity in the UTC analysis. RV free wall and ventricular septum cpIBS increased from -15.0 ± 7.3 to -13.7 ± 7.9 dB (p = 0.079) and from -18.2 ± 5.1 to -16.0 ± 6.4 dB (p = 0.002), respectively. Likewise, ccIBS in the RV free wall increased from 20.4 ± 5.9 to 22.1 ± 5.6 dB (p = 0.046), and in the LV septum from 17.3 ± 5.2 to 19.8 ± 5.5 dB (p < 0.001). In 3D echocardiography, LV mass increased from 102 ± 18 to 107 ± 18 g (p = 0.005). Patients receiving RT for right-sided breast cancer did not display these changes. Left-sided RT increased myocardial echodensity, particularly in the structures receiving the highest radiation dose. Considering the progressive nature of the RT induced damage, these early changes may help us with individual risk stratification and serve as a tool for screening. PMID:26757708

  17. Integration of Breast Cancer Secretomes with Clinical Data Elucidates Potential Serum Markers for Disease Detection, Diagnosis, and Prognosis

    PubMed Central

    Ziegler, Yvonne S.; Moresco, James J.; Yates, John R.; Nardulli, Ann M.

    2016-01-01

    Cancer cells secrete factors that influence adjacent cell behavior and can lead to enhanced proliferation and metastasis. To better understand the role of these factors in oncogenesis and disease progression, estrogen and progesterone receptor positive MCF-7 cells, triple negative breast cancer MDA-MB-231, DT22, and DT28 cells, and MCF-10A non-transformed mammary epithelial cells were grown in 3D cultures. A special emphasis was placed on triple negative breast cancer since these tumors are highly aggressive and no targeted treatments are currently available. The breast cancer cells secreted factors of variable potency that stimulated proliferation of the relatively quiescent MCF-10A cells. The conditioned medium from each cell line was subjected to mass spectrometry analysis and a variety of secreted proteins were identified including glycolytic enzymes, proteases, protease inhibitors, extracellular matrix proteins, and insulin-like growth factor binding proteins. An investigation of the secretome from each cell line yielded clues about strategies used for breast cancer proliferation and metastasis. Some of the proteins we identified may be useful in the development of a serum-based test for breast cancer detection, diagnosis, prognosis, and monitoring. PMID:27355404

  18. Mammographic and clinical characteristics of different phenotypes of screen-detected and interval breast cancers in a nationwide screening program.

    PubMed

    Baré, Marisa; Torà, Núria; Salas, Dolores; Sentís, Melchor; Ferrer, Joana; Ibáñez, Josefa; Zubizarreta, Raquel; Sarriugarte, Garbiñe; Barata, Teresa; Domingo, Laia; Castells, Xavier; Sala, Maria

    2015-11-01

    In the context of a population-based screening program, we aimed to evaluate the major mammographic features and clinicopathological characteristics of breast tumors at diagnosis and the associations between them, focusing on tumors with the worst prognosis. We analyzed cancers diagnosed in a cohort of 645,764 women aged 45-69 years participating in seven population-based screening programs in Spain, between January 1, 2000 and December 31, 2006 and followed up until June 2009. We included all interval cancers and a sample of screen-detected cancers, whether invasive or in situ. We compared tumor-related information and breast density for different phenotypes (Triple-negative (TN), HER2+, Luminal B and Luminal A) in screen-detected and interval cancers. We used Chi-square or Fisher's exact test to compare major mammographic features of invasive versus in situ tumors, of screen-detected versus interval cancers, and of different types of interval cancers. We included 2582 tumors (1570 screen-detected and 1012 interval cancers). There were significant differences in the distribution of most clinicopathological variables between screen-detected and interval cancers. Invasive TN interval tumors were more common than other phenotypes in breasts with low mammographic density; three-quarters of these tumors presented as masses without associated calcifications. HER2+ tumors were more common in denser breasts and were associated with calcifications and multifocality. Architectural distortion was more common in Luminal A and Luminal B tumors. Certain radiologic findings are associated with pre-invasive lesions; these differ among invasive tumor phenotypes. We corroborate that TN and HER2+ cancers have distinctive appearances also in the context of population-based screening programs. This information can be useful for establishing protocols for diagnostic strategies in screening units. PMID:26531756

  19. Prediction of pathological complete response of breast cancer patients undergoing neoadjuvant chemotherapy: usefulness of breast MRI computer-aided detection

    PubMed Central

    Kim, H; Park, J S; Shin, H J; Cha, J H; Chae, E Y; Choi, W J

    2014-01-01

    Objective: To evaluate the usefulness of MR computer-aided detection (CAD) in patients undergoing neoadjuvant chemotherapy for prediction of the pathological complete response of tumours. Methods: 148 patients with breast cancer (mean age, 47.3 years; range, 29–72 years) who underwent neoadjuvant chemotherapy were included in our study. They underwent MRI before and after neoadjuvant chemotherapy, and we reviewed the pathological result as the gold standard. The computer-generated kinetic features for each lesion were recorded, and the features analysed included “threshold enhancement” at 50% and 100% minimum thresholds; degree of initial peak enhancement; and enhancement profiles comprising lesion percentages of washout, plateau and persistent enhancement. The final pathological size and character of tumours were correlated with post-chemotherapy mammography, ultrasonography and MR CAD findings. Kruskal–Wallis test and intraclass correlation coefficient were used to analyse the findings. Results: We divided the 148 patients into complete pathological response and non-complete pathological response groups. A complete pathological response was defined as no histopathological evidence of any residual invasive cancer cells in the breast or axillary lymph nodes. 39 patients showed complete pathological response, and 109 patients showed non-complete pathological response. Between enhancement profiles of MR CAD, plateau proportion of tumours was significantly correlated with the pathological response of tumours (mean proportion of plateau on complete pathological response group was 27%, p = 0.007). Conclusion: When plateau proportion of tumours is high, we can predict non-complete pathological response of neoadjuvant chemotherapy. Advances in knowledge: MR CAD can be a useful tool for the assessment of response to neoadjuvant chemotherapy and prediction of pathological results. PMID:25162970

  20. Smart nanoprobes for ultrasensitive detection of breast cancer via magnetic resonance imaging

    NASA Astrophysics Data System (ADS)

    Lee, Jaemin; Yang, Jaemoon; Seo, Sung-Baek; Ko, Hyun-Ju; Suh, Jin-Suck; Huh, Yong-Min; Haam, Seungjoo

    2008-12-01

    Antibody-conjugated hydrophilic magnetic nanocrystals for use as smart nanoprobes were developed for ultrasensitive detection of breast cancer via magnetic resonance (MR) imaging. MnFe2O4 nanocrystals (MNCs) for use as MR imaging contrast agents were synthesized by thermal decomposition to take advantage of their MR signal enhancement effect. The MNC surfaces were then modified with amphiphilic tri-block copolymers (dicarboxy poly(ethylene glycol)-block-poly(propylene glycol)-block-poly(ethylene glycol)), not only allowing the MNCs to transfer from the organic to the aqueous phase, but also increasing the colloidal stability of the MNCs by masking poly(ethylene glycol). The physicochemical properties of the synthesized hydrophilic magnetic nanocrystals (HMNCs) were fully investigated. Trastuzumab (TZ), a monoclonal antibody against human epidermal growth factor receptor (HER2/neu), was further conjugated on the surface of HMNCs to specifically target HER2/neu over-expressed breast cancer cells. MR imaging analysis of target cells treated with TZ-conjugated HMNCs (TZ-HMNCs) clearly demonstrated their potential as high-performance nanoprobes for selective imaging.

  1. Breast Cancer Screening

    MedlinePlus

    ... the chance of dying from breast cancer. MRI (magnetic resonance imaging) in women with a high risk of breast ... the body. This procedure is also called nuclear magnetic resonance imaging (NMRI). MRI does not use any x-rays. ...

  2. Development of a hand-held 3D photoacoustic imaging system for breast cancer detection

    NASA Astrophysics Data System (ADS)

    Al-Aabed, Hazem; Roumeliotis, Michael; Carson, Jeffrey J. L.

    2010-06-01

    Photoacoustic (PA) imaging is a non-invasive imaging modality that employs non-ionizing near infrared (NIR) laser light to obtain optical images of tissues with depth penetration and resolution comparable to ultrasound imaging. PA images are created by illuminating tissues with a short laser pulse (~10 ns), which causes optically absorbing structures to heat up slightly, but so rapidly that conditions of thermal and stress confinement are met and the structure emits a pressure wave at ultrasonic frequencies. Detection of the pressure waves at the tissue surface with an ultrasound transducer array provides the data needed to reconstruct the distribution of light-absorbing structures within the tissue. Since it is recognized that cancerous breast lesions absorb light to a greater degree than surrounding normal tissue, PA imaging is a viable candidate for detection of lesions within the intact human breast. Therefore, we have constructed a transportable PA imaging system suitable for breast imaging. The system incorporates a hand-held transducer array with 30 detector elements arranged on a ring. Laser light is delivered coaxially in relation to the ring using a fiber optic light guide. The supporting hardware includes a NIR tuneable laser, transducer cabling, 30 preamplifiers, 30 independent data acquisition channels with onboard memory, and a computer with control and image reconstruction software. Initial tests with the transducer array suggest that it has sufficient sensitivity to detect optically absorbent objects on the order of 1- mm at a depth of 2 cm. It is anticipated that a small hand-held PA imaging unit will be amenable to patient work-up and would complement standard ultrasound imaging.

  3. Hook Wire Localization Procedure and Early Detection of Breast Cancer - Our Experience

    PubMed Central

    Dimitrovska, Maja Jakimovska; Mitreska, Nadica; Lazareska, Menka; Jovanovska, Elizabeta Stojovska; Dodevski, Ace; Stojkoski, Aleksandar

    2015-01-01

    AIM: The purpose of this study is to describe our experience with needle localization technique in diagnosing small breast cancers. MATERIAL AND METHODS: This retrospective study included a hundred and twenty patients’ with impalpable breast lesions and they underwent wire localization. All patients had mammography, ultrasound exam and pathohystological results. We use Mammomat Inspiration Siemens digital unit for diagnosing mammography, machine - Lorad Affinity with fenestrated compressive pad for wire localization and ultrasound machine Acuson X300 with linear array probe 10 MhZ. We use two types of wire: Bard hook wire and Kopans breast lesion localization needle, Cook. Comparative radiologic and pathologic data were collected and analyzed. RESULTS: In 120 asymptomatic women, 68 malignancies and 52 benign findings were detected with mammography and ultrasound. The mean age for patients with malignancy was 58.6 years. According BI-RADS classification for mammography the distribution is our group was: BI-RADS 3 was presented in 6 (8.82%) patients, BI-RADS 4 was presented in 56 (82.35%) patients and BI-RADS 5 was present in 6 (8.82%) of the patients. Most wire localizations were performed under mammographic guidance in 58 from 68 patients with malignant lesions (85.29%) and with ultrasound in 10 (14.7%). According the mammographic findings patients with mass on mammograms were 29 (42.65%), mass with calcifications 9 (13.23%), calcifications 20 (29.41%) and architectural distortions or asymmetry 10 (14.71%). CONCLUSION: Wire localization is a well established technique for the management of impalpable breast lesions. PMID:27275234

  4. Molecular profiles of screen detected vs. symptomatic breast cancer and their impact on survival: results from a clinical series

    PubMed Central

    2013-01-01

    Background Stage shift is widely considered a major determinant of the survival benefit conferred by breast cancer screening. However, factors and mechanisms underlying such a prognostic advantage need further clarification. We sought to compare the molecular characteristics of screen detected vs. symptomatic breast cancers and assess whether differences in tumour biology might translate into survival benefit. Methods In a clinical series of 448 women with operable breast cancer, the Kaplan-Meier method and the log-rank test were used to estimate the likelihood of cancer recurrence and death. The Cox proportional hazard model was used for the multivariate analyses including mode of detection, age at diagnosis, tumour size, and lymph node status. These same models were applied to subgroups defined by molecular subtypes. Results Screen detected breast cancers tended to show more favourable clinicopathological features and survival outcomes compared to symptomatic cancers. The luminal A subtype was more common in women with mammography detected tumours than in symptomatic patients (68.5 vs. 59.0%, p=0.04). Data analysis across categories of molecular subtypes revealed significantly longer disease free and overall survival for screen detected cancers with a luminal A subtype only (p=0.01 and 0.02, respectively). For women with a luminal A subtype, the independent prognostic role of mode of detection on recurrence was confirmed in Cox proportional hazard models (p=0.03). An independent role of modality of detection on survival was also suggested (p=0.05). Conclusions Molecular subtypes did not substantially explain the differences in survival outcomes between screened and symptomatic patients. However, our results suggest that molecular profiles might play a role in interpreting such differences at least partially. Further studies are warranted to reinterpret the efficacy of screening programmes in the light of tumour biology. PMID:23305429

  5. Detection of Elevated Plasma Levels of EGF Receptor Prior to Breast Cancer Diagnosis among Hormone Therapy Users

    PubMed Central

    Pitteri, Sharon J.; Amon, Lynn M.; Buson, Tina Busald; Zhang, Yuzheng; Johnson, Melissa M.; Chin, Alice; Kennedy, Jacob; Wong, Chee-Hong; Zhang, Qing; Wang, Hong; Lampe, Paul D.; Prentice, Ross L.; McIntosh, Martin W.; Hanash, Samir M.; Li, Christopher I.

    2010-01-01

    Applying advanced proteomic technologies to prospectively collected specimens from large studies is one means of identifying preclinical changes in plasma proteins that are potentially relevant to the early detection of diseases like breast cancer. We conducted fourteen independent quantitative proteomics experiments comparing pooled plasma samples collected from 420 estrogen receptor positive (ER+) breast cancer patients ≤17 months prior to their diagnosis and matched controls. Based on the over 3.4 million tandem mass spectra collected in the discovery set, 503 proteins were quantified of which 57 differentiated cases from controls with a p-value<0.1. Seven of these proteins, for which quantitative ELISA assays were available, were assessed in an independent validation set. Of these candidates, epidermal growth factor receptor (EGFR) was validated as a predictor of breast cancer risk in an independent set of preclinical plasma samples for women overall [odds ratio (OR)=1.44, p-value=0.0008], and particularly for current users of estrogen plus progestin (E+P) menopausal hormone therapy (OR=2.49, p-value=0.0001). Among current E+P users EGFR's sensitivity for breast cancer risk was 31% with 90% specificity. While EGFR's sensitivity and specificity are insufficient for a clinically useful early detection biomarker, this study suggests that proteins that are elevated preclinically in women who go on to develop breast cancer can be discovered and validated using current proteomic technologies. Further studies are warranted to both examine the role of EGFR and to discover and validate other proteins that could potentially be used for breast cancer early detection. PMID:20959476

  6. Scanning elastic scattering spectroscopy detects metastatic breast cancer in sentinel lymph nodes

    NASA Astrophysics Data System (ADS)

    Austwick, Martin R.; Clark, Benjamin; Mosse, Charles A.; Johnson, Kristie; Chicken, D. Wayne; Somasundaram, Santosh K.; Calabro, Katherine W.; Zhu, Ying; Falzon, Mary; Kocjan, Gabrijela; Fearn, Tom; Bown, Stephen G.; Bigio, Irving J.; Keshtgar, Mohammed R. S.

    2010-07-01

    A novel method for rapidly detecting metastatic breast cancer within excised sentinel lymph node(s) of the axilla is presented. Elastic scattering spectroscopy (ESS) is a point-contact technique that collects broadband optical spectra sensitive to absorption and scattering within the tissue. A statistical discrimination algorithm was generated from a training set of nearly 3000 clinical spectra and used to test clinical spectra collected from an independent set of nodes. Freshly excised nodes were bivalved and mounted under a fiber-optic plate. Stepper motors raster-scanned a fiber-optic probe over the plate to interrogate the node's cut surface, creating a 20×20 grid of spectra. These spectra were analyzed to create a map of cancer risk across the node surface. Rules were developed to convert these maps to a prediction for the presence of cancer in the node. Using these analyses, a leave-one-out cross-validation to optimize discrimination parameters on 128 scanned nodes gave a sensitivity of 69% for detection of clinically relevant metastases (71% for macrometastases) and a specificity of 96%, comparable to literature results for touch imprint cytology, a standard technique for intraoperative diagnosis. ESS has the advantage of not requiring a pathologist to review the tissue sample.

  7. Living as a Breast Cancer Survivor

    MedlinePlus

    ... Emotional aspects of breast cancer Living as a breast cancer survivor For many women with breast cancer, treatment ... making some new choices. Follow-up care after breast cancer treatment Even after you have completed breast cancer ...

  8. Breast Cancer Risk in American Women

    MedlinePlus

    ... of Breast & Gynecologic Cancers Breast Cancer Screening Research Breast Cancer Risk in American Women On This Page What ... risk of developing the disease. Personal history of breast cancer : Women who have had breast cancer are more ...

  9. Genetics Home Reference: breast cancer

    MedlinePlus

    ... Me Understand Genetics Home Health Conditions breast cancer breast cancer Enable Javascript to view the expand/collapse boxes. Download PDF Open All Close All Description Breast cancer is a disease in which certain cells in ...

  10. Skeletal Manifestations of Treatment of Breast Cancer

    PubMed Central

    Choksi, Palak; Williams, Margaret; Clark, Patricia M.; Van Poznak, Catherine

    2014-01-01

    Breast cancer and osteoporosis are common diagnoses in women. Breast cancer survival has improved due to earlier detection and improved treatments. As most breast cancers are estrogen receptor positive, treatment is often aimed at altering the hormonal environment. Both pre and postmenopausal women undergoing these therapies are at risk for bone loss. The patient's health care team ought to have an awareness of the potential for breast cancer treatments to accelerate bone loss. Women with early stage breast cancer are treated with curative intent and, therefore, maintaining bone health is important and is part of the survivorship care to ensure an optimal quality of life. PMID:24132726

  11. Breast cancer detection and classification in digital mammography based on Non-Subsampled Contourlet Transform (NSCT) and Super Resolution.

    PubMed

    Pak, Fatemeh; Kanan, Hamidreza Rashidy; Alikhassi, Afsaneh

    2015-11-01

    Breast cancer is one of the most perilous diseases among women. Breast screening is a method of detecting breast cancer at a very early stage which can reduce the mortality rate. Mammography is a standard method for the early diagnosis of breast cancer. In this paper, a new algorithm is proposed for breast cancer detection and classification in digital mammography based on Non-Subsampled Contourlet Transform (NSCT) and Super Resolution (SR). The presented algorithm includes three main parts including pre-processing, feature extraction and classification. In the pre-processing stage, after determining the region of interest (ROI) by an automatic technique, the quality of image is improved using NSCT and SR algorithm. In the feature extraction part, several features of the image components are extracted and skewness of each feature is calculated. Finally, AdaBoost algorithm is used to classify and determine the probability of benign and malign disease. The obtained results on Mammographic Image Analysis Society (MIAS) database indicate the significant performance and superiority of the proposed method in comparison with the state of the art approaches. According to the obtained results, the proposed technique achieves 91.43% and 6.42% as a mean accuracy and FPR, respectively. PMID:26206406

  12. Chemoprevention of breast cancer.

    PubMed

    Files, Julia A; Stan, Daniela L; Allen, Summer V; Pruthi, Sandhya

    2012-11-01

    The development of pharmacologic agents for the prevention of breast cancer is a significant milestone in medical and laboratory research. Despite these advances, the endorsement of preventive options has become challenging and complex, as physicians are expected to counsel and tailor their recommendations using a personalized approach taking into account medical comorbidities, degree of risk and patient preferences. This article provides a comprehensive overview of the major breast cancer prevention trials, review of the pharmacologic options available for breast cancer prevention, and strategies for integrating chemoprevention of breast cancer in high-risk women into clinical practice. PMID:23181529

  13. Ultrasound-guided vacuum-assisted breast biopsy using Mammotome biopsy system for detection of breast cancer: results from two high volume hospitals.

    PubMed

    Pan, Shaobo; Liu, Wenguang; Jin, Ketao; Liu, Yu; Zhou, Yunxiao

    2014-01-01

    Ultrasound-guided vacuum-assisted breast biopsy (VABB) has been recently regarded as a feasible, effective, minimally invasive and safe method for removal of benign breast lesions without serious complications. The frequency of detection of noninvasive malignant breast lesions by ultrasound-guided VABB is increasing. The aim of this study was to evaluate the role of the ultrasound-guided VABB using Mammotome biopsy system in the early detection of breast cancer. Retrospective review between January 2008 to March 2013 the First Affiliated Hospital, Zhejiang University School of Medicine and Taizhou Hospital, Wenzhou Medical College. From January 2008 to March 2013, a total of 5232 ultrasound-guided VABB procedures were performed in 3985 patients whose mean ages were 36.3 years (range: 16-73). The histological results of 5232 ultrasound-guided VABB were retrospectively reviewed. Ultrasonography follow-up was performed at 3 to 6 month intervals in order to assess recurrence. Two hundred twenty three high risk lesions (comprising 59 papilloma, 57 papillomatosis, and 107 atypical hyperplasia) and 61 malignant lesions (comprising 23 ductal carcinoma in situ, 21 lobular carcinoma in situ, 12 infiltrating ductal carcinoma, and 5 infiltrating mucinous carcinoma) were identified. Sensitivity (100%) and diagnostic accuracy (100%) regarding the detection of malignancy were excellent for ultrasound-guided VABB using Mammotome biopsy system. Our results indicate that ultrasound-guided VABB using Mammotome biopsy system is an accurate technique for the sampling, diagnosis, and early detection of breast cancer. It is recommended that the Mammotome biopsy system could be as the method of choice for detecting nonpalpable early breast cancer. PMID:24482711

  14. Ultrasound-guided vacuum-assisted breast biopsy using Mammotome biopsy system for detection of breast cancer: results from two high volume hospitals

    PubMed Central

    Pan, Shaobo; Liu, Wenguang; Jin, Ketao; Liu, Yu; Zhou, Yunxiao

    2014-01-01

    Ultrasound-guided vacuum-assisted breast biopsy (VABB) has been recently regarded as a feasible, effective, minimally invasive and safe method for removal of benign breast lesions without serious complications. The frequency of detection of noninvasive malignant breast lesions by ultrasound-guided VABB is increasing. The aim of this study was to evaluate the role of the ultrasound-guided VABB using Mammotome biopsy system in the early detection of breast cancer. Retrospective review between January 2008 to March 2013 the First Affiliated Hospital, Zhejiang University School of Medicine and Taizhou Hospital, Wenzhou Medical College. From January 2008 to March 2013, a total of 5232 ultrasound-guided VABB procedures were performed in 3985 patients whose mean ages were 36.3 years (range: 16-73). The histological results of 5232 ultrasound-guided VABB were retrospectively reviewed. Ultrasonography follow-up was performed at 3 to 6 month intervals in order to assess recurrence. Two hundred twenty three high risk lesions (comprising 59 papilloma, 57 papillomatosis, and 107 atypical hyperplasia) and 61 malignant lesions (comprising 23 ductal carcinoma in situ, 21 lobular carcinoma in situ, 12 infiltrating ductal carcinoma, and 5 infiltrating mucinous carcinoma) were identified. Sensitivity (100%) and diagnostic accuracy (100%) regarding the detection of malignancy were excellent for ultrasound-guided VABB using Mammotome biopsy system. Our results indicate that ultrasound-guided VABB using Mammotome biopsy system is an accurate technique for the sampling, diagnosis, and early detection of breast cancer. It is recommended that the Mammotome biopsy system could be as the method of choice for detecting nonpalpable early breast cancer. PMID:24482711

  15. Highly sensitive detection of the MGB1 transcript (mammaglobin) in the peripheral blood of breast cancer patients.

    PubMed

    Cerveira, Nuno; Torres, Lurdes; Rocha, Patrícia; Bizarro, Susana; Pereira, Deolinda; Abreu, Joaquim; Henrique, Rui; Teixeira, Manuel R; Castedo, Sérgio

    2004-02-10

    We describe a new one-step RT-PCR assay for the detection of the mammaglobin (MGB1) gene transcript in the peripheral blood of breast cancer patients. With this approach, the MGB1 transcript could be detected in the peripheral blood of 22 of 54 (41%) breast cancer patients prior to any therapy. This method, using specific primers for cDNA synthesis, proved to be more sensitive (10(-6) to 10(-11), usually 10(-7)) than previously reported methodologies. This increased sensitivity was achieved without compromising specificity, as the MGB1 transcript was not detected in 38 blood samples of healthy donors and in only 1 of 18 blood samples of patients presenting with hematologic malignancies. A positive correlation was seen between MGB1 positivity and breast cancer stage: 0/3 (0%) in stage 0, 3/13 (23%) in stage I, 6/17 (35%) in stage II, 5/10 (50%) in stage III, 8/11 (73%) in stage IV (p = 0.003). The prognostic and therapeutic implications of MGB1 positivity by one-step RT-PCR in the peripheral blood of breast cancer patients, especially in clinically localized disease (stages I and II), should be evaluated after long-term clinical follow-up of these patients. PMID:14696125

  16. Impact of an extensive in situ component on the presence of residual disease in screen detected breast cancer.

    PubMed Central

    Campbell, I D; Theaker, J M; Royle, G T; Coddington, R; Carpenter, R; Herbert, A; Moore, I; Rubin, C; Taylor, I; Guyer, P B

    1991-01-01

    This study investigates the histopathological characteristics of a consecutive series of 100 screen detected breast cancers in relation to residual disease. Tumour type, size, grade, resection margins and extent of primary or associated in situ disease were all assessed by one pathologist. Thirty-seven women underwent further surgery (wider excision or mastectomy) and the resected specimen was examined for residual in situ or invasive cancer. In total, 36 cancers had an extensive in situ component, of which 69% were predominantly intraduct carcinoma of comedo type. Of the 37 women who underwent further resection, 21 (57%) women had residual cancer. Of those with initial disease at the resection margin, 16/25 (64%) had residual disease. Five of 12 (42%) with disease close to (within 2-3 mm) but not at the margin had residual disease. Of those with an extensive in situ component, 18/25 (72%) had residual disease, whereas only 2/12 (17%) women with none or some in situ disease had residual cancer. In screen detected breast cancer, residual cancer was present in 72% of women with an extensive in situ component at initial surgery. These women comprise a group in which conservation surgery may be inappropriate if completeness of excision is considered a prerequisite for breast conserving surgery. PMID:1744869

  17. Accurate sensitivity of quantum dots for detection of HER2 expression in breast cancer cells and tissues.

    PubMed

    Tabatabaei-Panah, Akram-Sadat; Jeddi-Tehrani, Mahmood; Ghods, Roya; Akhondi, Mohammad-Mehdi; Mojtabavi, Nazanin; Mahmoudi, Ahmad-Reza; Mirzadegan, Ebrahim; Shojaeian, Sorour; Zarnani, Amir-Hassan

    2013-03-01

    Here we introduce novel optical properties and accurate sensitivity of Quantum dot (QD)-based detection system for tracking the breast cancer marker, HER2. QD525 was used to detect HER2 using home-made HER2-specific monoclonal antibodies in fixed and living HER2(+) SKBR-3 cell line and breast cancer tissues. Additionally, we compared fluorescence intensity (FI), photostability and staining index (SI) of QD525 signals at different exposure times and two excitation wavelengths with those of the conventional organic dye, FITC. Labeling signals of QD525 in both fixed and living breast cancer cells and tissue preparations were found to be significantly higher than those of FITC at 460-495 nm excitation wavelengths. Interestingly, when excited at 330-385 nm, the superiority of QD525 was more highlighted with at least 4-5 fold higher FI and SI compared to FITC. Moreover, QDs exhibited exceptional photostability during continuous illumination of cancerous cells and tissues, while FITC signal faded very quickly. QDs can be used as sensitive reporters for in situ detection of tumor markers which in turn could be viewed as a novel approach for early detection of cancers. To take comprehensive advantage of QDs, it is necessary that their optimal excitation wavelength is employed. PMID:23212129

  18. Using image simulation to test the effect of detector type on breast cancer detection

    NASA Astrophysics Data System (ADS)

    Mackenzie, Alistair; Warren, Lucy M.; Dance, David R.; Chakraborty, Dev P.; Cooke, Julie; Halling-Brown, Mark D.; Looney, Padraig T.; Wallis, Matthew G.; Given-Wilson, Rosalind M.; Alexander, Gavin G.; Young, Kenneth C.

    2014-03-01

    Introduction: The effect that the image quality associated with different image receptors has on cancer detection in mammography was measured using a novel method for changing the appearance of images. Method: A set of 270 mammography cases (one view, both breasts) was acquired using five Hologic Selenia and two Hologic Dimensions X-ray sets: 160 normal cases, 80 cases with subtle real non-calcification malignant lesions and 30 cases with biopsy proven benign lesions. Simulated calcification clusters were inserted into half of the normal cases. The 270 cases (Arm 1) were converted to appear as if they had been acquired on three other imaging systems: caesium iodide detector (Arm 2), needle image plate computed radiography (CR) (Arm 3) and powder phosphor CR (Arm 4). Five experienced mammography readers marked the location of suspected cancers in the images and classified the degree of visibility of the lesions. Statistical analysis was performed using JAFROC. Results: The differences in the visibility of calcification clusters between all pairs of arms were statistically significant (p<0.05), except between Arms 1 and 2. The difference in the visibility of non-calcification lesions was smaller than for calcification clusters, but the differences were still significant except between Arms 1 and 2 and between Arms 3 and 4. Conclusion: Detector type had a significant impact on the visibility of all types of subtle cancers, with the largest impact being on the visibility of calcification clusters.

  19. An evaluation of molecular markers for improved detection of breast cancer metastases in sentinel nodes

    PubMed Central

    Abdul‐Rasool, S; Kidson, S H; Panieri, E; Dent, D; Pillay, K; Hanekom, G S

    2006-01-01

    Background and objectives In patients with breast cancer (BC), the sentinel node (SN) is the first node in the axillary basin that receives the primary lymphatic flow and can be used to accurately assess the axillary nodal status without removal of the axillary contents. Currently, histology and/or immunohistochemistry are the routine methods of SN analysis. The primary objective of this study was to develop a reproducible reverse transcription (RT) PCR assay, with emphasis on achieving high specificity for accurate detection of BC micrometastases in the SN. To correct for the heterogeneity of BC cells, a multimarker approach was followed, with the further aim of improving the detection rate of the assay. Methods In total, 73 markers were evaluated, of which 7 were breast epithelial markers and 66 were either cancer testis or tumour associated antigens. Twelve BC cell lines and 30 SNs (from 30 patients) were analysed using RT‐PCR to determine the in vitro and in vivo detection rates for each of the markers. In addition, 20 axillary nodes obtained from a patient with brain death were used as controls to optimise the PCR cycle numbers for all the markers. Results Of the 30 SNs, 37% (11/30) were positive on haematoxylin and eosin analysis. Extensive immunohistochemical (IHC) analyses of the haematoxylin and eosin negative nodes confirmed the presence of very small numbers of BC cells in an additional 40% (12/30) of SNs. Molecular analysis with the hMAM‐A alone identified metastases in 70% (21/30) of SNs. Using MAGE‐A3 in combination with hMAM‐A identified metastases in 90% (27/30) of patients. Seven SNs (23%) were negative for micrometastases (with haematoxylin and eosin and IHC) but RT‐PCR positive for either hMAM‐A or MAGE‐A3. Conclusions As IHC analysis resulted in a 77% detection rate compared with 37% for haematoxylin and eosin analysis, we consider that IHC is essential in order not to miss SN micrometastases. Molecular analysis with hMAM‐A and

  20. Detection of HER2 breast cancer biomarker using the optofluidic ring resonator biosensor

    NASA Astrophysics Data System (ADS)

    Gohring, John T.; Dale, Paul S.; Fan, Xudong

    2010-04-01

    In this work, we describe a novel approach for detecting the HER2/neu extra-cellular domain (ECD) protein in human serum samples using the opto-fluidic ring resonator (OFRR). OFRR sensing technology that incorporates microfluidics and optical sensing methods to achieve rapid label free detection in a small and low cost platform. In this study, HER2 proteins were spiked in PBS running buffer and serum at varying concentrations. Concentrations of the HER2 protein were adjusted in serum to levels typical of breast cancer patients that show over-expression of this particular beast cancer biomarker. The OFRR was modified with a biologically functional layer to efficiently capture the HER2 biomarker and produce a sensing signal through interaction with the evanescent field of the optical resonator. Results show effective capture of HER2 at medically relevant concentrations in serum and was achieved for concentrations as low as 13 ng/mL and ranged to above 100 ng/mL. This work will lead to a device that can be used as a tool for monitoring disease progression in a low cost sensing setup.

  1. A signal detection analysis of gist-based discrimination of genetic breast cancer risk

    PubMed Central

    Fisher, Christopher R.; Reyna, Valerie F.; Widmer, Colin L.; Cedillos, Elizabeth M.; Brust-Renck, Priscilla G.

    2013-01-01

    Pervasive biases in probability judgment render the probability scale a poor response mode for assessing risk judgments. By applying fuzzy trace theory, we used ordinal gist categories as a response mode, coupled with a signal detection model to assess risk judgments. The signal detection model is an extension of the familiar model used in binary choice paradigms. It provides three measures of discriminability—low versus medium risk, medium versus high risk, and low versus high risk—and two measures of response bias. We used the model to assess the effectiveness of BRCA Gist, an intelligent tutoring system designed to improve women’s judgments and understanding of genetic risk for breast cancer. Participants were randomly assigned to the BRCA Gist intelligent tutoring system, the National Cancer Institute (NCI) Web pages, or a control group, and then they rated cases that had been developed using the Pedigree Assessment Tool and also vetted by medical experts. BRCA Gist participants demonstrated increased discriminability for all three risk categories, relative to the control group; the NCI group showed increased discriminability for two of the three levels. This result suggests that BRCA Gist best improved discriminability among genetic risk categories, and both BRCA Gist and the NCI website improved participants’ ability to discriminate, rather than simply shifting their decision criterion. A spreadsheet that fits the model and compares parameters across the conditions can be downloaded from the Behavior Research Methods website and used in any research involving categorical responses. PMID:23784010

  2. Breast cancer epidemiology and risk factors.

    PubMed

    Broeders, M J; Verbeek, A L

    1997-09-01

    Breast cancer is the most common malignancy among women in the Western society. Over the past decades it has become apparent that breast cancer incidence rates are increasing steadily, whereas the mortality rates for breast cancer have remained relatively constant. Information through the media on this rising number of cases has increased breast health awareness but has also introduced anxiety in the female population. This combination of factors has made the need for prevention of breast cancer an urgent matter. Breast cancer does not seem to be a single disease entity. A specific etiologic factor may therefore have more influence on one form of breast cancer than another. So far though, as shown in our summary of current knowledge on established and dubious risk factors, no risk factors have been identified that can explain a major part of the incidence. Efforts to identify other ways for primary prevention have also been discouraging, even though breast cancer is one of the most investigated tumours world-wide. Thus, at this point in time, the most important strategy to reduce breast cancer mortality is early detection through individual counselling and organised breast screening programs. The recent isolation of breast cancer susceptibility genes may introduce new ways to reduce the risk of breast cancer in a small subset of women. PMID:9274126

  3. Non-invasive Detection of Breast Cancer Lymph Node Metastasis using Carbonic Anhydrases IX and XII Targeted Imaging Probes

    PubMed Central

    Tafreshi, Narges K.; Bui, Marilyn M.; Bishop, Kellsey; Lloyd, Mark C.; Enkemann, Steven A.; Lopez, Alexis S.; Abrahams, Dominique; Carter, Bradford W.; Vagner, Josef; Grobmyer, Stephen R.; Gillies, Robert J.; Morse, David L.

    2014-01-01

    Purpose To develop targeted molecular imaging probes for the non-invasive detection of breast cancer lymph node metastasis. Methods Six cell surface or secreted markers were identified by expression profiling and from the literature as being highly expressed in breast cancer lymph node metastases. Two of these markers were cell surface carbonic anhydrase isozymes (CAIX and/or CAXII) and were validated for protein expression by immunohistochemistry (IHC) of patient tissue samples on a breast cancer tissue microarray containing 47 normal breast tissue samples, 42 ductal carcinoma in situ, 43 invasive ductal carcinomas without metastasis, 46 invasive ductal carcinomas with metastasis and 49 lymph node macrometastases of breast carcinoma. Targeted probes were developed by conjugation of CAIX and CAXII specific monoclonal antibodies (mAbs) to a near-infrared fluorescent dye. Results Together, these two markers were expressed in 100% of the lymph node metastases surveyed. Selectivity of the imaging probes were confirmed by intravenous injection into nude mice bearing mammary fat pad tumors of marker expressing cells, and non-expressing cells or by pre-injection of unlabeled antibody. Imaging of LN metastases showed that peritumorally-injected probes detected nodes harboring metastatic tumor cells. As few as 1,000 cells were detected, as determined by implanting, under ultrasound guidance, a range in number of CAIX and CAXII expressing cells into the axillary LNs. Conclusion These imaging probes have potential for non-invasive staging of breast cancer in the clinic and elimination of unneeded surgery, which is costly and associated with morbidities. PMID:22016510

  4. Carboplatin and Eribulin Mesylate in Triple Negative Breast Cancer Patients

    ClinicalTrials.gov

    2016-06-30

    Estrogen Receptor-negative Breast Cancer; HER2-negative Breast Cancer; Male Breast Cancer; Progesterone Receptor-negative Breast Cancer; Stage IA Breast Cancer; Stage IB Breast Cancer; Stage II Breast Cancer; Stage IIIA Breast Cancer; Stage IIIB Breast Cancer; Stage IIIC Breast Cancer; Triple-negative Breast Cancer

  5. Generation of monoclonal antibodies against MGA and comparison of their application in breast cancer detection by immunohistochemistry.

    PubMed

    Duan, Cuimi; Yang, Xiqin; Zhang, Xuhui; Feng, Jiannan; Liu, Zhiqiang; Que, Haiping; Johnson, Heather; Zhao, Yanfeng; Fan, Yawen; Lu, Yinglin; Zhang, Heqiu; Huang, Yan; Xiu, Bingshui; Feng, Xiaoyan

    2015-01-01

    Mammaglobin A (MGA) is an organ specific molecular biomarker for metastatic breast cancer diagnosis. However, there are still needs to develop optimal monoclonal antibodies (mAbs) to detect MGA expression in breast carcinoma by immunohistochemistry. In this study, we first generated mAbs against MGA. Then, we used epitope prediction and computer-assisted structural analysis to screen five dominant epitopes and identified mAbs against five epitopes. Further immunohistochemical analysis on 42 breast carcinoma specimens showed that MHG1152 and MGD785 had intensive staining mainly in membrane, while CHH11617, CHH995 and MJF656 had more intensive staining within the cytoplasm. MGA scoring results showed that MJF656 had the highest rate (92.8%) of positive staining among five mAbs, including higher staining intensity when compared with that of MHG1152 (p < 0.01) and CHH995 (p < 0.05) and the highest the mean percentage of cells stained among mAbs. Furthermore, we analyzed the relationship of positive staining rate by mAbs with patient clinical characteristics. The results suggest that MJF656 was able to detect MGA expression, especially in early clinical stage, low grade and lymph node metastasis-negative breast carcinoma. In conclusion, our study generated five mAbs against MGA and identified the best candidate for detection of MGA expression in breast cancer tissues. PMID:26272389

  6. Breast Cancer in Men

    MedlinePlus

    ... This may result in a delay in diagnosis. Survival is highest when breast cancer is found early. If you notice any of ... chest or nipple, see a doctor right away. Survival rates are similar for men and women when breast cancer is found at the same stage. A man’s ...

  7. BREAST CANCER AND EXERCISE

    ClinicalTrials.gov

    2008-03-19

    Prevent Osteoporosis and Osteoporotic Fractures; Improve Quality of Life; Improve Weight Control, and Muscular and Cardiovascular Fitness; Help the Patients to Return to Working Life; Reduce the Risk of Breast Cancer Recurrence; Prevent Other Diseases and Reduce All-Cause Mortality in Patients With Primary Breast Cancer.

  8. Increased Detection of Lymphatic Vessel Invasion by D2-40 (Podoplanin) in Early Breast Cancer: Possible Influence on Patient Selection for Accelerated Partial Breast Irradiation

    SciTech Connect

    Debald, Manuel; Poelcher, Martin; Flucke, Uta; Walgenbach-Bruenagel, Gisela

    2010-07-15

    Purpose: Several international trials are currently investigating accelerated partial breast irradiation (APBI) for patients with early-stage breast cancer. According to existing guidelines, patients with lymphatic vessel invasion (LVI) do not qualify for APBI. D2-40 (podoplanin) significantly increases the frequency of LVI detection compared with conventional hematoxylin and eosin (HE) staining in early-stage breast cancer. Our purpose was to retrospectively assess the hypothetical change in management from APBI to whole breast radiotherapy with the application of D2-40. Patients and Methods: Immunostaining with D2-40 was performed on 254 invasive breast tumors of 247 patients. The following criteria were used to determine the eligibility for APBI: invasive ductal adenocarcinoma of {<=}3 cm, negative axillary node status (N0), and unifocal disease. Of the 247 patients, 74 with available information concerning LVI, as detected by D2-40 immunostaining and routine HE staining, formed our study population. Results: Using D2-40, our results demonstrated a significantly greater detection rate (p = .031) of LVI compared with routine HE staining. LVI was correctly identified by D2-40 (D2-40-positive LVI) in 10 (13.5%) of 74 tumors. On routine HE staining, 4 tumors (5.4%) were classified as HE-positive LVI. Doublestaining of these specimens with D2-40 unmasked false-positive LVI status in 2 (50%) of the 4 tumors. According to the current recommendations for APBI, immunostaining with D2-40 would have changed the clinical management from APBI to whole breast radiotherapy in 8 (10.8%) of 74 patients and from whole breast radiotherapy to APBI in 2 patients (2.7%). Conclusion: These data support the implementation of D2-40 immunostaining in the routine workup to determine a patient's eligibility for APBI.

  9. Detection and mapping of amplified DNA sequences in breast cancer by comparative genomic hybridization

    SciTech Connect

    Kallioniemi, A.; Tanner, M.; Kallioniemi, O.P.; Piper, J.; Stokke, T.; Pinkel, D.; Gray, J.W.; Waldman, F.M.; Chen, L.; Smith, H.S.

    1994-03-15

    Comparative genomic hybridization was applied to 5 breast cancer cell lines and 33 primary tumors to discover and map regions of the genome with increased DNA-sequence copy-number. Two-thirds of primary tumors and almost all cell lines showed increased DNA-sequence copy-number affecting a total of 26 chromosomal subregions. Most of these loci were distinct from those of currently known amplified genes in breast cancer, with sequences originating from 17q22-q24 and 20q13 showing the highest frequency of amplification. The results indicate that these chromosomal regions may contain previously unknown genes whose increased expression contributes to breast cancer progression. Chromosomal regions with increased copy-number often spanned tens of Mb, suggesting involvement of more than one gene in each region.

  10. Aberrant reduction of telomere repetitive sequences in plasma cell-free DNA for early breast cancer detection

    PubMed Central

    Wu, Xi; Tanaka, Hiromi

    2015-01-01

    Excessive telomere shortening is observed in breast cancer lesions when compared to adjacent non-cancerous tissues, suggesting that telomere length may represent a key biomarker for early cancer detection. Because tumor-derived, cell-free DNA (cfDNA) is often released from cancer cells and circulates in the bloodstream, we hypothesized that breast cancer development is associated with changes in the amount of telomeric cfDNA that can be detected in the plasma. To test this hypothesis, we devised a novel, highly sensitive and specific quantitative PCR (qPCR) assay, termed telomeric cfDNA qPCR, to quantify plasma telomeric cfDNA levels. Indeed, the internal reference primers of our design correctly reflected input cfDNA amount (R2 = 0.910, P = 7.82 × 10−52), implying accuracy of this assay. We found that plasma telomeric cfDNA levels decreased with age in healthy individuals (n = 42, R2 = 0.094, P = 0.048), suggesting that cfDNA is likely derived from somatic cells in which telomere length shortens with increasing age. Our results also showed a significant decrease in telomeric cfDNA level from breast cancer patients with no prior treatment (n = 47), compared to control individuals (n = 42) (P = 4.06 × 10−8). The sensitivity and specificity for the telomeric cfDNA qPCR assay was 91.49% and 76.19%, respectively. Furthermore, the telomeric cfDNA level distinguished even the Ductal Carcinoma In Situ (DCIS) group (n = 7) from the healthy group (n = 42) (P = 1.51 × 10−3). Taken together, decreasing plasma telomeric cfDNA levels could be an informative genetic biomarker for early breast cancer detection. PMID:26356673

  11. Copy Number Imbalances Between Screen and Symptom-Detected Breast Cancers and Impact on Disease-free Survival

    PubMed Central

    Brewster, A. M.; Thompson, P.; Sahin, A. A.; Do, K.; Edgerton, M.; Murray, J.L.; Tsavachidis, S.; Zhou, R.; Liu, Y; Zhang, L.; Mills, G.; Bondy, M.

    2011-01-01

    Background Screening mammography results in the increased detection of indolent tumors. We hypothesized that screen and symptom-detected tumors would show genotypic differences as copy number imbalances (CNIs) that in part explain differences in the clinical behavior between screen and symptom-detected breast tumors. Methods We evaluated 850 women aged ≥ 40 diagnosed with stage I–II breast cancer at the MD Anderson Cancer Center between 1985 to 2000 with information available on method of tumor detection (screen versus symptoms). CNIs in screen and symptom-detected tumors were identified using high-density molecular inversion probe arrays. Cox proportional modeling was used to estimate the effect of method of tumor detection on disease-free survival after adjusting for age, stage and the CNIs. Results The majority of tumors were symptom-detected (n=603) compared to screen-detected (n=247). Copy number gains in chromosomes 2p, 3q, 8q, 11p and 20q were associated with method of breast cancer detection (p<0.00001). We estimated that 32% and 63% of the survival advantage of screen-detection was accounted for by age, stage, nuclear grade and Ki67 in women aged 50–70 and aged 40–87, respectively. In each age category, an additional 20% of the survival advantage was accounted for by CNIs associated with method of detection. Conclusion Specific CNIs differ between screen and symptom-detected tumors and explain part of the survival advantage associated with screen-detected tumors. Measurement of tumor genotype has the potential to improve discrimination between indolent and aggressive screen-detected tumors and aid patient and physician decision making about use of surgical and adjuvant treatments. PMID:21795423

  12. CDC Vital Signs: Breast Cancer

    MedlinePlus

    ... 2.65 MB] Read the MMWR Science Clips Breast Cancer Black Women Have Higher Death Rates from Breast ... of Page U.S. State Info Number of Additional Breast Cancer Deaths Among Black Women, By State SOURCE: National ...

  13. Breast Cancers Detected at Screening MR Imaging and Mammography in Patients at High Risk: Method of Detection Reflects Tumor Histopathologic Results.

    PubMed

    Sung, Janice S; Stamler, Sarah; Brooks, Jennifer; Kaplan, Jennifer; Huang, Tammy; Dershaw, D David; Lee, Carol H; Morris, Elizabeth A; Comstock, Christopher E

    2016-09-01

    Purpose To compare the clinical, imaging, and histopathologic features of breast cancers detected at screening magnetic resonance (MR) imaging, screening mammography, and those detected between screening examinations (interval cancers) in women at high risk. Materials and Methods This retrospective institutional review board-approved, HIPAA-compliant review of 7519 women at high risk for breast cancer who underwent screening with MR imaging and mammography between January 2005 and December 2010 was performed to determine the number of screening-detected and interval cancers diagnosed. The need for informed consent was waived. Medical records were reviewed for age, risk factors (family or personal history of breast cancer, BRCA mutation status, history of high-risk lesion or mantle radiation), tumor histopathologic results, and time between diagnosis of interval cancer and most recent screening examination. The χ(2) test and logistic regression methods were used to compare the features of screening MR imaging, screening mammography, and interval cancers. The Wilcoxon signed-rank test was used to calculate P values. Results A total of 18 064 screening MR imaging examinations and 26 866 screening mammographic examinations were performed. Two hundred twenty-two cancers were diagnosed in 219 women, 167 (75%) at MR imaging, 43 (19%) at mammography, and 12 (5%) interval cancers. Median age at diagnosis was 52 years. No risk factors were associated with screening MR imaging, screening mammography, or interval cancer (P > .06). Cancers found at screening MR imaging were more likely to be invasive cancer (118 of 167 [71%]; P < .0001). Of the 43 cancers found at screening mammography, 38 (88%) manifested as calcifications and 28 (65%) were ductal carcinoma in situ. Interval cancers were associated with nodal involvement (P = .005) and the triple-negative subtype (P = .03). Conclusion In women at high risk for breast cancer who underwent screening with mammography and MR

  14. MYC and Breast Cancer

    PubMed Central

    Xu, Jinhua; Chen, Yinghua; Olopade, Olufunmilayo I.

    2010-01-01

    MYC is a key regulator of cell growth, proliferation, metabolism, differentiation, and apoptosis. MYC deregulation contributes to breast cancer development and progression and is associated with poor outcomes. Multiple mechanisms are involved in MYC deregulation in breast cancer, including gene amplification, transcriptional regulation, and mRNA and protein stabilization, which correlate with loss of tumor suppressors and activation of oncogenic pathways. The heterogeneity in breast cancer is increasingly recognized. Breast cancer has been classified into 5 or more subtypes based on gene expression profiles, and each subtype has distinct biological features and clinical outcomes. Among these subtypes, basal-like tumor is associated with a poor prognosis and has a lack of therapeutic targets. MYC is overexpressed in the basal-like subtype and may serve as a target for this aggressive subtype of breast cancer. Tumor suppressor BRCA1 inhibits MYC’s transcriptional and transforming activity. Loss of BRCA1 with MYC overexpression leads to the development of breast cancer—especially, basal-like breast cancer. As a downstream effector of estrogen receptor and epidermal growth factor receptor family pathways, MYC may contribute to resistance to adjuvant therapy. Targeting MYC-regulated pathways in combination with inhibitors of other oncogenic pathways may provide a promising therapeutic strategy for breast cancer, the basal-like subtype in particular. PMID:21779462

  15. Breast Cancer and Bone Loss

    MedlinePlus

    ... Balance › Breast Cancer and Bone Loss Fact Sheet Breast Cancer and Bone Loss July, 2010 Download PDFs English ... JoAnn Pinkerton, MD What is the link between breast cancer and bone loss? Certain treatments for breast cancer ...

  16. Serial monitoring of circulating tumor DNA in patients with primary breast cancer for detection of occult metastatic disease

    PubMed Central

    Olsson, Eleonor; Winter, Christof; George, Anthony; Chen, Yilun; Howlin, Jillian; Tang, Man-Hung Eric; Dahlgren, Malin; Schulz, Ralph; Grabau, Dorthe; van Westen, Danielle; Fernö, Mårten; Ingvar, Christian; Rose, Carsten; Bendahl, Pär-Ola; Rydén, Lisa; Borg, Åke; Gruvberger-Saal, Sofia K; Jernström, Helena; Saal, Lao H

    2015-01-01

    Metastatic breast cancer is usually diagnosed after becoming symptomatic, at which point it is rarely curable. Cell-free circulating tumor DNA (ctDNA) contains tumor-specific chromosomal rearrangements that may be interrogated in blood plasma. We evaluated serial monitoring of ctDNA for earlier detection of metastasis in a retrospective study of 20 patients diagnosed with primary breast cancer and long follow-up. Using an approach combining low-coverage whole-genome sequencing of primary tumors and quantification of tumor-specific rearrangements in plasma by droplet digital PCR, we identify for the first time that ctDNA monitoring is highly accurate for postsurgical discrimination between patients with (93%) and without (100%) eventual clinically detected recurrence. ctDNA-based detection preceded clinical detection of metastasis in 86% of patients with an average lead time of 11 months (range 0–37 months), whereas patients with long-term disease-free survival had undetectable ctDNA postoperatively. ctDNA quantity was predictive of poor survival. These findings establish the rationale for larger validation studies in early breast cancer to evaluate ctDNA as a monitoring tool for early metastasis detection, therapy modification, and to aid in avoidance of overtreatment. PMID:25987569

  17. Abortion, Miscarriage, and Breast Cancer Risk

    MedlinePlus

    ... Cancers Breast Cancer Screening Research Abortion, Miscarriage, and Breast Cancer Risk A woman’s hormone levels normally change throughout ... the development of breast cancer. Important Information about Breast Cancer Risk Factors At present, the factors known to ...

  18. Microwave-induced thermoacoustic imaging model for potential breast cancer detection.

    PubMed

    Wang, Xiong; Bauer, Daniel R; Witte, Russell; Xin, Hao

    2012-10-01

    In this study, we develop a complete microwave-induced thermoacoustic imaging (TAI) model for potential breast cancer imaging application. Acoustic pressures generated by different breast tissue targets are investigated by finite-difference time-domain simulations of the entire TAI process including the feeding antenna, matching mechanism, fluidic environment, 3-D breast model, and acoustic transducer. Simulation results achieve quantitative relationships between the input microwave peak power and the resulting specific absorption rate as well as the output acoustic pressure. Microwave frequency dependence of the acoustic signals due to different breast tissues is established across a broadband frequency range (2.3-12 GHz), suggesting key advantages of spectroscopic TAI compare to TAI at a single frequency. Reconstructed thermoacoustic images are consistent with the modeling results. This model will contribute to design, optimization, and safety evaluation of microwave-induced TAI and spectroscopy. PMID:22851231

  19. Women with Disabilities and Breast Cancer Screening

    MedlinePlus

    ... and Reasonable Accommodations (RA) Women with Disabilities and Breast Cancer Screening Recommend on Facebook Tweet Share Compartir Finding Breast Cancer Early Can Save Lives Disabilities & Breast Cancer Screening ...

  20. A Bayesian algorithm for detecting differentially expressed proteins and its application in breast cancer research

    NASA Astrophysics Data System (ADS)

    Santra, Tapesh; Delatola, Eleni Ioanna

    2016-07-01

    Presence of considerable noise and missing data points make analysis of mass-spectrometry (MS) based proteomic data a challenging task. The missing values in MS data are caused by the inability of MS machines to reliably detect proteins whose abundances fall below the detection limit. We developed a Bayesian algorithm that exploits this knowledge and uses missing data points as a complementary source of information to the observed protein intensities in order to find differentially expressed proteins by analysing MS based proteomic data. We compared its accuracy with many other methods using several simulated datasets. It consistently outperformed other methods. We then used it to analyse proteomic screens of a breast cancer (BC) patient cohort. It revealed large differences between the proteomic landscapes of triple negative and Luminal A, which are the most and least aggressive types of BC. Unexpectedly, majority of these differences could be attributed to the direct transcriptional activity of only seven transcription factors some of which are known to be inactive in triple negative BC. We also identified two new proteins which significantly correlated with the survival of BC patients, and therefore may have potential diagnostic/prognostic values.

  1. A Bayesian algorithm for detecting differentially expressed proteins and its application in breast cancer research.

    PubMed

    Santra, Tapesh; Delatola, Eleni Ioanna

    2016-01-01

    Presence of considerable noise and missing data points make analysis of mass-spectrometry (MS) based proteomic data a challenging task. The missing values in MS data are caused by the inability of MS machines to reliably detect proteins whose abundances fall below the detection limit. We developed a Bayesian algorithm that exploits this knowledge and uses missing data points as a complementary source of information to the observed protein intensities in order to find differentially expressed proteins by analysing MS based proteomic data. We compared its accuracy with many other methods using several simulated datasets. It consistently outperformed other methods. We then used it to analyse proteomic screens of a breast cancer (BC) patient cohort. It revealed large differences between the proteomic landscapes of triple negative and Luminal A, which are the most and least aggressive types of BC. Unexpectedly, majority of these differences could be attributed to the direct transcriptional activity of only seven transcription factors some of which are known to be inactive in triple negative BC. We also identified two new proteins which significantly correlated with the survival of BC patients, and therefore may have potential diagnostic/prognostic values. PMID:27444576

  2. A Bayesian algorithm for detecting differentially expressed proteins and its application in breast cancer research

    PubMed Central

    Santra, Tapesh; Delatola, Eleni Ioanna

    2016-01-01

    Presence of considerable noise and missing data points make analysis of mass-spectrometry (MS) based proteomic data a challenging task. The missing values in MS data are caused by the inability of MS machines to reliably detect proteins whose abundances fall below the detection limit. We developed a Bayesian algorithm that exploits this knowledge and uses missing data points as a complementary source of information to the observed protein intensities in order to find differentially expressed proteins by analysing MS based proteomic data. We compared its accuracy with many other methods using several simulated datasets. It consistently outperformed other methods. We then used it to analyse proteomic screens of a breast cancer (BC) patient cohort. It revealed large differences between the proteomic landscapes of triple negative and Luminal A, which are the most and least aggressive types of BC. Unexpectedly, majority of these differences could be attributed to the direct transcriptional activity of only seven transcription factors some of which are known to be inactive in triple negative BC. We also identified two new proteins which significantly correlated with the survival of BC patients, and therefore may have potential diagnostic/prognostic values. PMID:27444576

  3. Early breast cancer screening using iron/iron oxide-based nanoplatforms with sub-femtomolar limits of detection

    PubMed Central

    Samarakoon, Thilani N; Yapa, Asanka S; Abayaweera, Gayani; Basel, Matthew T; Maynez, Pamela; Ortega, Raquel; Toledo, Yubisela; Bossmann, Leonie; Robinson, Colette; Janik, Katharine E; Koper, Olga B; Li, Ping; Motamedi, Massoud; Higgins, Daniel A; Gadbury, Gary

    2016-01-01

    Summary Proteases, including matrix metalloproteinases (MMPs), tissue serine proteases, and cathepsins (CTS) exhibit numerous functions in tumor biology. Solid tumors are characterized by changes in protease expression levels by tumor and surrounding tissue. Therefore, monitoring protease levels in tissue samples and liquid biopsies is a vital strategy for early cancer detection. Water-dispersable Fe/Fe3O4-core/shell based nanoplatforms for protease detection are capable of detecting protease activity down to sub-femtomolar limits of detection. They feature one dye (tetrakis(carboxyphenyl)porphyrin (TCPP)) that is tethered to the central nanoparticle by means of a protease-cleavable consensus sequence and a second dye (Cy 5.5) that is directly linked. Based on the protease activities of urokinase plasminogen activator (uPA), MMPs 1, 2, 3, 7, 9, and 13, as well as CTS B and L, human breast cancer can be detected at stage I by means of a simple serum test. By monitoring CTS B and L stage 0 detection may be achieved. This initial study, comprised of 46 breast cancer patients and 20 apparently healthy human subjects, demonstrates the feasibility of protease-activity-based liquid biopsies for early cancer diagnosis. PMID:27335730

  4. Detection of gene pathways with predictive power for breast cancer prognosis

    PubMed Central

    2010-01-01

    Background Prognosis is of critical interest in breast cancer research. Biomedical studies suggest that genomic measurements may have independent predictive power for prognosis. Gene profiling studies have been conducted to search for predictive genomic measurements. Genes have the inherent pathway structure, where pathways are composed of multiple genes with coordinated functions. The goal of this study is to identify gene pathways with predictive power for breast cancer prognosis. Since our goal is fundamentally different from that of existing studies, a new pathway analysis method is proposed. Results The new method advances beyond existing alternatives along the following aspects. First, it can assess the predictive power of gene pathways, whereas existing methods tend to focus on model fitting accuracy only. Second, it can account for the joint effects of multiple genes in a pathway, whereas existing methods tend to focus on the marginal effects of genes. Third, it can accommodate multiple heterogeneous datasets, whereas existing methods analyze a single dataset only. We analyze four breast cancer prognosis studies and identify 97 pathways with significant predictive power for prognosis. Important pathways missed by alternative methods are identified. Conclusions The proposed method provides a useful alternative to existing pathway analysis methods. Identified pathways can provide further insights into breast cancer prognosis. PMID:20043860

  5. Detection of novel germline mutations for breast cancer in non-BRCA1/2 families.

    PubMed

    Aloraifi, Fatima; McDevitt, Trudi; Martiniano, Rui; McGreevy, Jonah; McLaughlin, Russell; Egan, Chris M; Cody, Nuala; Meany, Marie; Kenny, Elaine; Green, Andrew J; Bradley, Daniel G; Geraghty, James G; Bracken, Adrian P

    2015-09-01

    The identification of the breast cancer susceptibility genes BRCA1 and BRCA2 enhanced clinicians' ability to select high-risk individuals for aggressive surveillance and prevention, and led to the development of targeted therapies. However, BRCA1/2 mutations account for only 25% of familial breast cancer cases. To systematically identify rare, probably pathogenic variants in familial cases of breast cancer without BRCA1/2 mutations, we developed a list of 312 genes, and performed targeted DNA enrichment coupled to multiplex next-generation sequencing on 104 'BRCAx' patients and 101 geographically matched controls in Ireland. As expected, this strategy allowed us to identify mutations in several well-known high-susceptibility and moderate-susceptibility genes, including ATM (~ 5%), RAD50 (~ 3%), CHEK2 (~ 2%), TP53 (~ 1%), PALB2 (~ 1%), and MRE11A (~ 1%). However, we also identified novel pathogenic variants in 30 other genes, which, when taken together, potentially explain the etiology of the missing heritability in up to 35% of BRCAx patients. These included novel potential pathogenic mutations in MAP3K1, CASP8, RAD51B, ZNF217, CDKN2B-AS1, and ERBB2, including a splice site mutation, which we predict would generate a constitutively active HER2 protein. Taken together, this work extends our understanding of the genetics of familial breast cancer, and supports the need to implement hereditary multigene panel testing to more appropriately orientate clinical management. PMID:26094658

  6. Application of multiplex PCR with histopathologic features for detection of familial breast cancer in formalin-fixed, paraffin-embedded histologic specimens.

    PubMed

    Rassi, H; Houshmand, M; Hashemi, M; Majidzadeh, K; Akbari, M H Hosseini; Panahi, M Shafa Shariat

    2008-01-01

    Breast cancer is the most common malignancy among females in the world. Age and familial history are the major risk factors for the development of this disease in Iran. Mutations of BRCA1 and BRCA2 genes are associated with a greatly increased risk for development of familial breast cancer. Frequency of BRCA mutations was identified in familial breast cancers (FBC) and non-familial breast cancers (NFBC) by molecular genetics, morphological and Immunohistochemical methods. Thirty forth formalin-fixed, paraffin-embedded breast tissue tumors were analyzed from 16 patients with FBC and 18 patients with NFBC. Three 5382insC mutations detected by multiplex PCR in 16 familial breast cancers. Immunohistochemical method was used to detect estrogen receptor (ER) and progesterona receptor (PR) and TP53. Comparison of ER, PR and TP53 exhibited high difference (P < 0.0001) in familial breast cancers and non-familial breast cancers. Our results demonstrated that 5382insC mutation, ER, PR, TP53, mitotic activity, polymorphism, necrosis and tubules can serve as the major risk factors for the development of FBC. PMID:18630122

  7. Better Overall Survival for Breast Cancer Patients by Adding Breast Ultrasound to Follow-Up Examinations for Early Detection of Locoregional Recurrence-A Survival Impact Study.

    PubMed

    Tsai, Wan-Chen; Wei, Hung-Kuang; Hung, Chen-Fang; Kwang-Jane Lin, Christopher; Hung-Chun Cheng, Skye; Chen, Chii-Ming; Wang, Yong Alison

    2016-09-01

    We retrospectively reviewed patient records to evaluate the effectiveness of our 15 y of ultrasound (US) surveillance of recurrent breast disease in comparison with mammography (MM) and clinical examination. From 4796 stage 0-III breast cancer patients who had received surgical treatment, we identified locoregional recurrence (LRR) in 161 patients. The mean age of the 161 patients was 48 y (27-82 y), and the mean follow-up interval was 77.2 mo (11-167 mo). The methods of LRR detection, sites of LRR and overall survival (OS) were examined. Multivariate Cox survival analysis showed significantly better survival in groups detected by US (hazard ratio = 0.6, p = 0.042). The 10-y LRR OS by detection types for US (n = 69), clinical examination (n = 78) and MM (n = 8) were 58.5%, 33.1% and 100%, respectively (p = 0.0004). US was seen with better OS associated with the effective early detection of non-palpable LRR breast cancer, which is mostly not detectable on MM. PMID:27184247

  8. Cost-effectiveness of early detection of breast cancer in Catalonia (Spain)

    PubMed Central

    2011-01-01

    Background Breast cancer (BC) causes more deaths than any other cancer among women in Catalonia. Early detection has contributed to the observed decline in BC mortality. However, there is debate on the optimal screening strategy. We performed an economic evaluation of 20 screening strategies taking into account the cost over time of screening and subsequent medical costs, including diagnostic confirmation, initial treatment, follow-up and advanced care. Methods We used a probabilistic model to estimate the effect and costs over time of each scenario. The effect was measured as years of life (YL), quality-adjusted life years (QALY), and lives extended (LE). Costs of screening and treatment were obtained from the Early Detection Program and hospital databases of the IMAS-Hospital del Mar in Barcelona. The incremental cost-effectiveness ratio (ICER) was used to compare the relative costs and outcomes of different scenarios. Results Strategies that start at ages 40 or 45 and end at 69 predominate when the effect is measured as YL or QALYs. Biennial strategies 50-69, 45-69 or annual 45-69, 40-69 and 40-74 were selected as cost-effective for both effect measures (YL or QALYs). The ICER increases considerably when moving from biennial to annual scenarios. Moving from no screening to biennial 50-69 years represented an ICER of 4,469€ per QALY. Conclusions A reduced number of screening strategies have been selected for consideration by researchers, decision makers and policy planners. Mathematical models are useful to assess the impact and costs of BC screening in a specific geographical area. PMID:21605383

  9. Digital versus screen-film mammography: impact of mammographic density and hormone therapy on breast cancer detection.

    PubMed

    Chiarelli, Anna M; Prummel, Maegan V; Muradali, Derek; Shumak, Rene S; Majpruz, Vicky; Brown, Patrick; Jiang, Hedy; Done, Susan J; Yaffe, Martin J

    2015-11-01

    Most studies that have examined the effects of mammographic density and hormone therapy use on breast cancer detection have included screen-film mammography. This study further examines this association in post-menopausal women screened by digital mammography. Approved by the University of Toronto Research Ethics Board, this study identified 688,418 women of age 50-74 years screened with digital or screen-film mammography from 2008 to 2009 within the Ontario Breast Screening Program. Of 2993 eligible women with invasive breast cancer, 2450 were contacted and 1421 participated (847 screen-film mammography, 574 digital direct radiography). Mammographic density was measured by study radiologists using the standard BI-RADS classification system and by a computer-assisted method. Information on hormone therapy use was collected by a telephone-administered questionnaire. Logistic regression and two-tailed tests for significance evaluated associations between factors and detection method by mammography type. Women with >75 % radiologist-measured mammographic density compared to those with <25 % were more likely to be diagnosed with an interval than screen-detected cancer, with the difference being greater for those screened with screen-film (OR = 6.40, 95 % CI 2.30-17.85) than digital mammography (OR = 2.41, 95 % CI 0.67-8.58) and aged 50-64 years screened with screen-film mammography (OR = 10.86, 95 % CI 2.96-39.57). Recent former hormone therapy users were also at an increased risk of having an interval cancer with the association being significant for women screened with digital mammography (OR = 2.08, 95 % CI 1.17-3.71). Breast screening using digital mammography lowers the risk of having an interval cancer for post-menopausal women aged 50-64 with greater mammographic density. PMID:26518019

  10. Pregnancy After Breast Cancer.

    PubMed

    Gemignani; Petrek

    1999-05-01

    BACKGROUND: The issue of pregnancy following the diagnosis and treatment of breast cancer is important because the incidence of breast cancer is increasing in women of childbearing age. The fact that many women are delaying childbearing, whether for educational, professional, or personal reasons, increases the number of women who will undergo breast cancer treatment before completing childbearing. METHODS: Data on pregnancy in breast cancer survivors are limited and consist only of retrospective data. This paper reviews the published literature on the influence of subsequent pregnancy on breast cancer, including three recent large-scale population-based studies. RESULTS: The survival of women with breast carcinoma who subsequently become pregnant is not reported to be decreased in any of the published series. However, several biases may be present that justify the concern regarding the conclusions. CONCLUSIONS: Further research on the safety of subsequent pregnancy after breast carcinoma treatment is needed. To address these issues, patients are currently being accrued for a large, prospective, multicenter study of young breast carcinoma patients. PMID:10758557