Science.gov

Sample records for aid early detection

  1. GPS-Aided Tsunami Early Detection System

    NASA Astrophysics Data System (ADS)

    Song, Y. T.; Bar-Sever, Y. E.; Liu, Z.; Khachikyan, R.

    2015-12-01

    Most tsunami fatalities occur in near-field communities of earthquakes at offshore faults. Tsunami early warning is key for reducing the number of fatalities. Unfortunately, an earthquake's magnitude often does not gauge the resulting tsunami power. Here we show that real-time GPS stations along coastlines are able to detect seafloor motions due to big earthquakes, and that the detected seafloor displacements are able to determine tsunami energy and scales instantaneously for early warnings. Our method focuses on estimating tsunami energy directly from seafloor motions because a tsunami's potential or scale, no matter how it is defined, has to be proportional to the tsunami energy. Since seafloor motions are the only source of a tsunami, their estimation directly relates to the mechanism that generates tsunamis; therefore, it is a proper way of identifying earthquakes that are capable of triggering tsunamis, while being able to discriminate those particular earthquakes from false alarms. Examples of detecting the tsunami energy scales for the 2004 Sumatra M9.1 earthquake, the 2005 Nias M8.7 earthquake, the 2010 M8.8 Chilean earthquake, and the 2011 M9.0 Tohoku-Oki earthquake will be presented. The development of the Indo-Pacific GPS-Aided Tsunami Early Detection (GATED) system will be reported.

  2. Development of a Computer-Aided Diagnosis System for Early Detection of Masses Using Retrospectively Detected Cancers on Prior Mammograms

    DTIC Science & Technology

    2007-06-01

    system (C) Development of image processing techniques for improvement of mass detection on prior mammograms ( D ) Continue to develop a two-view...increase the overall accuracy for detection of subtle early-stage breast cancers. 13 ( D ) Continuation of Development of a Two-view Information Fusion...Petrick, B. Sahiner, S. C. B. Lo, M. Freedman, D . Adler, J. Bailey, et al., "Sensitivity of noncommercial computer-aided detection system for

  3. Computer-aided detection of early interstitial lung diseases using low-dose CT images.

    PubMed

    Park, Sang Cheol; Tan, Jun; Wang, Xingwei; Lederman, Dror; Leader, Joseph K; Kim, Soo Hyung; Zheng, Bin

    2011-02-21

    This study aims to develop a new computer-aided detection (CAD) scheme to detect early interstitial lung disease (ILD) using low-dose computed tomography (CT) examinations. The CAD scheme classifies each pixel depicted on the segmented lung areas into positive or negative groups for ILD using a mesh-grid-based region growth method and a multi-feature-based artificial neural network (ANN). A genetic algorithm was applied to select optimal image features and the ANN structure. In testing each CT examination, only pixels selected by the mesh-grid region growth method were analyzed and classified by the ANN to improve computational efficiency. All unselected pixels were classified as negative for ILD. After classifying all pixels into the positive and negative groups, CAD computed a detection score based on the ratio of the number of positive pixels to all pixels in the segmented lung areas, which indicates the likelihood of the test case being positive for ILD. When applying to an independent testing dataset of 15 positive and 15 negative cases, the CAD scheme yielded the area under receiver operating characteristic curve (AUC = 0.884 ± 0.064) and 80.0% sensitivity at 85.7% specificity. The results demonstrated the feasibility of applying the CAD scheme to automatically detect early ILD using low-dose CT examinations.

  4. Computer-aided detection of early interstitial lung diseases using low-dose CT images

    NASA Astrophysics Data System (ADS)

    Park, Sang Cheol; Tan, Jun; Wang, Xingwei; Lederman, Dror; Leader, Joseph K.; Kim, Soo Hyung; Zheng, Bin

    2011-02-01

    This study aims to develop a new computer-aided detection (CAD) scheme to detect early interstitial lung disease (ILD) using low-dose computed tomography (CT) examinations. The CAD scheme classifies each pixel depicted on the segmented lung areas into positive or negative groups for ILD using a mesh-grid-based region growth method and a multi-feature-based artificial neural network (ANN). A genetic algorithm was applied to select optimal image features and the ANN structure. In testing each CT examination, only pixels selected by the mesh-grid region growth method were analyzed and classified by the ANN to improve computational efficiency. All unselected pixels were classified as negative for ILD. After classifying all pixels into the positive and negative groups, CAD computed a detection score based on the ratio of the number of positive pixels to all pixels in the segmented lung areas, which indicates the likelihood of the test case being positive for ILD. When applying to an independent testing dataset of 15 positive and 15 negative cases, the CAD scheme yielded the area under receiver operating characteristic curve (AUC = 0.884 ± 0.064) and 80.0% sensitivity at 85.7% specificity. The results demonstrated the feasibility of applying the CAD scheme to automatically detect early ILD using low-dose CT examinations.

  5. Dynamic MRI-based computer aided diagnostic systems for early detection of kidney transplant rejection: A survey

    NASA Astrophysics Data System (ADS)

    Mostapha, Mahmoud; Khalifa, Fahmi; Alansary, Amir; Soliman, Ahmed; Gimel'farb, Georgy; El-Baz, Ayman

    2013-10-01

    Early detection of renal transplant rejection is important to implement appropriate medical and immune therapy in patients with transplanted kidneys. In literature, a large number of computer-aided diagnostic (CAD) systems using different image modalities, such as ultrasound (US), magnetic resonance imaging (MRI), computed tomography (CT), and radionuclide imaging, have been proposed for early detection of kidney diseases. A typical CAD system for kidney diagnosis consists of a set of processing steps including: motion correction, segmentation of the kidney and/or its internal structures (e.g., cortex, medulla), construction of agent kinetic curves, functional parameter estimation, diagnosis, and assessment of the kidney status. In this paper, we survey the current state-of-the-art CAD systems that have been developed for kidney disease diagnosis using dynamic MRI. In addition, the paper addresses several challenges that researchers face in developing efficient, fast and reliable CAD systems for the early detection of kidney diseases.

  6. Development of a Computer-aided Diagnosis System for Early Detection of Masses Using Retrospectively Detected Cancers on Prior Mammograms

    DTIC Science & Technology

    2009-06-01

    Computer-aided diagnosis of masses with full-field digital mammography,” Acad. Radiol. 9, 4–12 2002. 34D. Gur, J. S. Stalder, L. A. Hardesty , B. Zheng, J...A. Hardesty , W. R. Poller, R. Shah, and L. Wallace, “Changes in breast cancer detection and mammography recall rates after the introduction of a...Stalder, L. A. Hardesty , B. Zheng, J. H. Sumkin, D. M. Chough, B. E. Shindel, and H. E. Rockette, “Computer-aided detection performance in mammographic

  7. 2014 CODEPEH recommendations: Early detection of late onset deafness, audiological diagnosis, hearing aid fitting and early intervention.

    PubMed

    Núñez-Batalla, Faustino; Jáudenes-Casaubón, Carmen; Sequí-Canet, Jose Miguel; Vivanco-Allende, Ana; Zubicaray-Ugarteche, Jose

    2016-01-01

    The latest scientific literature considers early diagnosis of deafness as the key element to define the educational and inclusive prognosis of the deaf child, because it allows taking advantage of the critical period of development (0-4 years). Highly significant differences exist between deaf people who have been stimulated early and those who have received late or improper intervention. Early identification of late-onset disorders requires special attention and knowledge on the part of every childcare professional. Programs and additional actions beyond neonatal screening should be designed and planed to ensure that every child with a significant hearing loss is detected early. For this purpose, the CODEPEH would like to highlight the need for continuous monitoring of children's auditory health. Consequently, CODEPEH has drafted the recommendations included in the present document.

  8. Role of the dental surgeon in the early detection of adults with underlying HIV infection / AIDS

    PubMed Central

    Cano, Jorge; del Romero, Jorge; Hernando, Victoria; del Amo, Julia; Moreno, Santiago

    2012-01-01

    A review is made of the late diagnosis of human immunodeficiency virus (HIV) infection, a subject of growing interest in public health. It has been estimated that in Europe 30% of all HIV-infected people are unaware of their seropositive condition, and this in turn is associated with a poorer long-term disease prognosis and an increased risk of transmission to other individuals. The role of the dental surgeon in this context could be of great importance, since there are many oral lesions that can suggest the existence of underlying infection. The study also addresses the controversial subject of rapid HIV testing, and whether these tests should be performed on a routine basis in the dental clinic, or whether it is preferable to refer the patient to a specialized center. Key words:HIV in Spain, HIV screening, early diagnosis. PMID:22143719

  9. Development of a Computer-Aided Diagnosis System for Early Detection of Masses Using Retrospectively Detected Cancers on Prior Mammograms

    DTIC Science & Technology

    2006-06-01

    te Brake, "Detection of stellate distortions in mammograms," IEEE Trans. Med. Img. 15, 611-619 (1996). 18H. Kobatake and Y. Yoshinaga , "Detection...and Y. Yoshinaga , "Detection of spicules on mammogram based on skeleton analysis," IEEE Trans Med Img 15, 235-245, 1996. 21. W. Qian, L. H. Li and L

  10. Home-use cancer detecting band aid

    NASA Astrophysics Data System (ADS)

    Zalevsky, Zeev; Rudnitsky, Arkady; Sheinman, Victor; Tzoy, Andrey; Toktosunov, Aitmamat; Adashov, Arkady

    2016-03-01

    In this paper we present a novel concept in which special band aid is developed for early detection of cancer. The band aid contains an array of micro needles with small detection array connected to each needle which inspects the color of the surface of the skin versus time after being pinched with the needles. We were able to show in pre-clinical trials that the color varies differently if the skin is close to tumor tissue.

  11. Detecting Student Aid Fraud.

    ERIC Educational Resources Information Center

    Sheppard, Jeffrey

    1998-01-01

    Describes the varied kinds of student aid fraud found to be occurring within and outside colleges and universities, and examines implications for public policy on student aid programs. Discusses specific fraud cases and their outcomes, and makes suggestions for institutional action if student fraud is suspected. (MSE)

  12. Hearing aid malfunction detection system

    NASA Technical Reports Server (NTRS)

    Kessinger, R. L. (Inventor)

    1977-01-01

    A malfunction detection system for detecting malfunctions in electrical signal processing circuits is disclosed. Malfunctions of a hearing aid in the form of frequency distortion and/or inadequate amplification by the hearing aid amplifier, as well as weakening of the hearing aid power supply are detectable. A test signal is generated and a timed switching circuit periodically applies the test signal to the input of the hearing aid amplifier in place of the input signal from the microphone. The resulting amplifier output is compared with the input test signal used as a reference signal. The hearing aid battery voltage is also periodically compared to a reference voltage. Deviations from the references beyond preset limits cause a warning system to operate.

  13. Leak detection aid

    DOEpatents

    Steeper, T.J.

    1989-12-26

    A leak detection apparatus and method for detecting leaks across an O-ring sealing a flanged surface to a mating surface is an improvement in a flanged surface comprising a shallow groove following O-ring in communication with an entrance and exit port intersecting the shallow groove for injecting and withdrawing, respectively, a leak detection fluid, such as helium. A small quantity of helium injected into the entrance port will flow to the shallow groove, past the O-ring and to the exit port. 2 figs.

  14. Leak detection aid

    DOEpatents

    Steeper, Timothy J.

    1989-01-01

    A leak detection apparatus and method for detecting leaks across an O-ring sealing a flanged surface to a mating surface is an improvement in a flanged surface comprising a shallow groove following O-ring in communication with an entrance and exit port intersecting the shallow groove for injecting and withdrawing, respectively, a leak detection fluid, such as helium. A small quantity of helium injected into the entrance port will flow to the shallow groove, past the O-ring and to the exit port.

  15. AIDE - Advanced Intrusion Detection Environment

    SciTech Connect

    Smith, Cathy L.

    2013-04-28

    Would you like to know when someone has dropped an undesirable executable binary on our system? What about something less malicious such as a software installation by a user? What about the user who decides to install a newer version of mod_perl or PHP on your web server without letting you know beforehand? Or even something as simple as when an undocumented config file change is made by another member of the admin group? Do you even want to know about all the changes that happen on a daily basis on your server? The purpose of an intrusion detection system (IDS) is to detect unauthorized, possibly malicious activity. The purpose of a host-based IDS, or file integrity checker, is check for unauthorized changes to key system files, binaries, libraries, and directories on the system. AIDE is an Open Source file and directory integrity checker. AIDE will let you know when a file or directory has been added, deleted, modified. It is included with the Red Hat Enterprise 6. It is available for other Linux distros. This is a case study describing the process of configuring AIDE on an out of the box RHEL6 installation. Its goal is to illustrate the thinking and the process by which a useful AIDE configuration is built.

  16. HIV/AIDS and Early Childhood.

    ERIC Educational Resources Information Center

    Hanssen, Elizabeth, Ed.; Zimanyi, Louise, Ed.

    2002-01-01

    The Consultative Group on Early Childhood Care and Development is increasingly concerned with the lack of attention to children affected by the HIV/AIDS pandemic. This theme issue of "Coordinators' Notebook" examines issues related to ensuring that orphans and vulnerable children under 5 years receive attention in the international,…

  17. Value of the ViziLite Plus System as a diagnostic aid in the early detection of oral cancer/premalignant epithelial lesions.

    PubMed

    Mojsa, Izabela; Kaczmarzyk, Tomasz; Zaleska, Malgorzata; Stypulkowska, Jadwiga; Zapala-Pospiech, Agnieszka; Sadecki, Daniel

    2012-03-01

    The aim of the study was to assess the value of the chemiluminescent light and 1% tolonium chloride as a diagnostic aid in the early detection of oral cancer/premalignant epithelial lesions. Thirty consecutive patients with 41 visually identified oral lesions suggestive of being premalignant underwent chemiluminescence and tolonium chloride examination followed by incisional biopsy with histopathologic evaluation. The biopsies of 34 lesions (82.92%) revealed no dysplasia, 3 lesions (7.32%) revealed mild dysplasia, 3 lesions (7.32%) demonstrated severe dysplasia, and 1 lesion (2.44%) was malignant (squamous cell carcinoma). The chemiluminescent examination improved the brightness (58.54% of the cases), sharpness (56.1% of the cases), texture (60.98% of the cases), and size of the lesion (53.66% of the cases). With references to serious pathologies, 7 cases (100.0%) were brighter, and size was more visualized in 6 cases (85.71%) when using chemiluminescence examination than under incandescent light. Twenty-five (73.53%) of nonserious pathology and 7 (100.0%) of serious pathology (6 dysplasias, 1 squamous cell carcinoma) were positively stained by toluidine blue. Three (8.82%) of nonserious pathology and 0 (0.0%) of serious pathology lesions were identified as true negatives when toluidine blue staining was used. The overall toluidine blue sensitivity and specificity were 81.8% and 37.5%, respectively. Chemiluminescent light demonstrates better visualization (brightness, size) of serious pathology lesions in comparison with conventional clinical oral examination under incandescent light. Toluidine blue demonstrates 100% sensitivity in staining serious pathology. The ViziLite Plus system may help the practitioner to visualize oral pathologies that are not readily detectable with conventional incandescent lighting.

  18. Genetic sensitivity to bitter taste of 6-n Propylthiouracil: A useful diagnostic aid to detect early childhood caries in pre-school children

    PubMed Central

    Pidamale, Raghavendra; Sowmya, B.; Thomas, Ann; Jose, Tony

    2012-01-01

    PURPOSE: Genetic factor to bitter taste perception appears to be largely mediated by the TAS2R38 gene. The insensitivity to bitter compounds like 6-n-propylthiouracil (PROP) is mediated by this gene. PROP, a pharmacological drug used in treatment of Graves’ disease, proved to be useful tool in determining the genetic sensitivity levels to bitter and sweet taste. The purpose of this study is to show much simpler PROP sensitivity technique for the clinical examiner and its application as a diagnostic aid in Early Childhood Caries (ECC) detection among preschool children. MATERIALS AND METHODS: A total of 119 children belonging to the age group of 36 to 71 months of both sexes, were recruited from A. J. Institute of Dental Sciences, Mangalore (Karnataka). PROP sensitivity test was carried out to determine the inherent genetic ability to taste a bitter or sweet substance. This study used simpler scaling method to find out genetic sensitivity to bitter taste; one who tasted bitter as taster and one who was not able to differentiate/tasted like paper as non-taster. A questionnaire was provided to evaluate their dietary habits and caries experience was recorded. Collected data were tabulated and subjected to statistical analysis. RESULTS: In the total of 119 children the mean dmfs was definitely higher in non-taster children compared to tasters. The tasters had a mean dmfs value of 9.5120 (S.D. 7.0543) and non-tasters had a value of 7.7250 (S.D. 8.33147), which was statistically significant. The results suggested that there was increase in caries experience among the group of non-tasters as compared to tasters. Tasters tended to be sweet dislikers and non-tasters tended to be sweet likers. On the whole, tasters had a bad dentition as compared to non tasters. CONCLUSION: The PROP sensitivity test (filter paper test) proved to be a useful diagnostic tool in determining the genetic sensitivity levels of bitter taste. The knowledge of a child's taste perception can help us

  19. Diagnostic aids for detection of oral precancerous conditions

    PubMed Central

    Messadi, Diana V

    2013-01-01

    Oral cancer has a tendency to be detected at late stage which is detrimental to the patients because of its high mortality and morbidity rates. Early detection of oral cancer is therefore important to reduce the burden of this devastating disease. In this review article, the most common oral precancerous lesions are discussed and the importance of early diagnosis is emphasized. In addition, the most common non-invasive oral cancer devices that can aid the general practitioners in early diagnosis are also discussed. PMID:23743617

  20. [Oral hairy leukoplakia. Early sign of AIDS].

    PubMed

    López, N; Piña, F

    1990-01-01

    Oral hairy leukoplakia (OHL) is a new lesion that appears specifically on the lateral borders of the tongue. It has basically been detected in immunosuppressed male homosexuals and it is associated with the later development of the acquired immunodeficiency syndrome (AIDS) or HIV infection. Epstein-Barr virus has been suggested to be the possible etiological agent. A review of the existing literature pointing out definition, clinical, histopathologic and ultrastructural features, prognostic and treatment is made. Moreover the characteristics of the individuals suffering from it are equally studied. The role of the dentist at detecting the lesion, as well as the importance of its definitive diagnostic are emphasized, in virtue of the effects that may have a bearing on patients.

  1. Social Network Aided Plagiarism Detection

    ERIC Educational Resources Information Center

    Zrnec, Aljaž; Lavbic, Dejan

    2017-01-01

    The prevalence of different kinds of electronic devices and the volume of content on the Web have increased the amount of plagiarism, which is considered an unethical act. If we want to be efficient in the detection and prevention of these acts, we have to improve today's methods of discovering plagiarism. The paper presents a research study where…

  2. Early detection and early intervention of hearing handicapped children.

    PubMed

    Victor, P

    1992-01-01

    Early detection means the detection of hearing impairment in an infant under 2 years of age. It is vital as language and other sound-related mental development takes place within the first 3 years of life, and delay leads to secondary disabilities. The delay in language development may be observed by attentive parents at 10-12 months of age and by some not until 3-4 years of age. The family physician often detects a false-positive response, and a child specialist's opinion often is not much different. Most ear, nose, and throat departments have some provisions for audiological testing, however, the audiological section's role is to identify and assess cases for middle ear surgery. Early intervention consists of 1) the provision of amplification, 2) medical assistance, and 3) educational assistance. Pre school programs are held in nursery day schools where deaf children are given 4 hours of daily assistance for 3 years preparing them for placement in the ordinary hearing school in Class I. Special schools for the deaf in India include 1) oral schools without individual hearing aids but with group hearing aids, 2) oral and aural schools with individual hearing aids and group hearing aids, and 3) combined method schools without individual hearing aids and with or without group hearing aids. The evaluation of a program in New Delhi, after its 6 years of existence, sought to identify the strong points and weaknesses in the management of deaf children. This role model was disseminated through 4 series of Max Mueller Bhavan's All India Workshops for parents and teachers of hearing impaired children held at New Delhi, Bombay, Madras, Bangalore and Calcutta between 1981 and 1985. The parents and the professionals who attend these courses publicize them further. Many of them visited the programs in New Delhi with the desire to establish this role model in their school or city.

  3. Early Childhood Teachers' Behavior Intention to Apply Teaching Aids

    ERIC Educational Resources Information Center

    Kuo, Chuen-Tzay

    2010-01-01

    This research aimed to investigate the behavior intention of early childhood teachers to apply teaching aids. The survey method was used to collect data from 281 early childhood teachers currently working at early childhood education institutes. The data was analyzed by t-test, Chi-square analysis, and Pearson coefficient to examine the…

  4. Adjunctive aids for the detection of oral premalignancy

    PubMed Central

    Charanya, D.; Raghupathy, L. P.; Farzana, Amjad Fazeela; Murugan, R.; Krishnaraj, R.; Kalarani, G.

    2016-01-01

    Early detection of cancer greatly decreases the morbidity and mortality rates and thereby increases the 5-year survival rates. In developing countries like India where the disease is highly prevalent focus is mainly on decreasing the mortality rates which can be easily achieved by detection at an asymptomatic stage. Visual examination has been the standard screening method for screening oral cancer through several decades, and it is well known that conventional visual examination is limited to subjective interpretation and cannot be easily achieved in certain anatomical sites. As a solution to all these adjunctive techniques have emerged, and it has been widely used. An effort is made through this paper to review the most commonly used adjunctive aids for the detection of premalignancy and cancer. PMID:27829738

  5. Predictable Locations Aid Early Object Name Learning

    ERIC Educational Resources Information Center

    Benitez, Viridiana L.; Smith, Linda B.

    2012-01-01

    Expectancy-based localized attention has been shown to promote the formation and retrieval of multisensory memories in adults. Three experiments show that these processes also characterize attention and learning in 16- to 18-month old infants and, moreover, that these processes may play a critical role in supporting early object name learning. The…

  6. Early Cancer Detection at the Epithelial Surface.

    PubMed

    Rogalla, Stephan; Contag, Christopher H

    2015-01-01

    Malignant neoplastic lesions derived from epithelial tissue, carcinomas, account for 80% to 100% of all human cancers including some of the most deadly diseases such as cervical and non-small cell lung cancer. Many of these carcinomas present at readily accessible epithelial surfaces offering unique detection opportunities. Effective clinical management of carcinomas is enabled by early detection, at a time when full surgical resection is possible and before invasion of adjacent tissue or significant intravasation into blood vessels leading to metastasis. Good prognosis with long-term disease-free survival is more likely after early detection when progression is limited. At present, detection of carcinomas at epithelial surfaces largely relies on routine inspection with the naked eye (e.g., skin and oropharynx) or simple white light tools (e.g., cervix and colon). Emerging optical tools based on differential refraction, absorption, reflection, scattering, or fluorescence of carcinomas relative to normal tissues enable label-free visualization of neoplasia. However, the differences in intrinsic optical properties of normal and malignant tissues can be subtle, and relying on these may lead to high miss rates. Enhanced optical contrast offered by molecularly targeted agents can be used to improve early detection; and given that optical imaging and sensing tools can be readily combined, integrated systems that image over a range of scales, or detect multiple parameters, can be developed to aid in early detection. Diagnosis is, at present, made by histologic examination of tissue biopsies after identification of suspicious lesions. Miniature and handheld microscopic imaging tools have recently been developed, and integration of these tools with wide-field optical surveillance devices offers both rapid detection and confirmatory histologic examination at the point-of-care, that can provide guidance for biopsy and/or resection. A wide variety of targeted probe strategies

  7. Early detection of tubular dysfunction.

    PubMed

    Piscator, M

    1991-11-01

    The determination of low-molecular-weight proteins in urine as a tool for early detection of damage to the proximal tubules is briefly discussed. Beta 2-microglobulin, retinol-binding protein and alpha 1-microglobulin are at present the most widely used markers for tubular dysfunction. The determination of beta 2-microglobulin has earlier been the method of choice, but due to its instability at low pH there are certain disadvantages. Available data indicate that alpha 1-microglobulin may replace beta 2-microglobulin for screening purposes. The low-molecular-weight proteins are at present the best markers for early detection of tubular dysfunction; other constituents are not as well suited for this, even if the determination of urine enzymes has its supporters.

  8. NASA Aircraft Aids Earth-Mars Cave Detection Study

    NASA Video Gallery

    The most likely location for discovering potential primitive life forms on Mars to be in caves. A recent NASA-funded airborne and ground study designed to aid in detection of caves on the Earth, th...

  9. 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.

  10. Automated Early Detection of Diabetic Retinopathy

    PubMed Central

    Abràmoff, Michael D.; Reinhardt, Joseph M.; Russell, Stephen R.; Folk, James C.; Mahajan, Vinit B.; Niemeijer, Meindert; Quellec, Gwénolé

    2010-01-01

    Purpose To compare the performance of automated diabetic retinopathy (DR) detection, using the algorithm that won the 2009 Retinopathy Online Challenge Competition in 2009, (‘Challenge2009’) against that of the one currently used in EyeCheck, a large computer-aided early DR detection project. Design Evaluation of diagnostic test or technology. Participants Fundus photographic sets, consisting of two fundus images from each eye, were evaluated from 16,670 patient visits of 16,670 people with diabetes who had not previously been diagnosed with DR. Methods The fundus photographic set from each visit was analyzed by a single retinal expert; 793 of the 16,770 sets were classified as containing more than minimal DR (threshold for referral). The outcomes of the two algorithmic detectors were applied separately to the dataset and compared by standard statistical measures. Main Outcome Measures The area under the Receiver Operating Characteristic curve (AUC), a measure of the sensitivity and specificity of DR detection. Results Agreement was high, and exams containing more than minimal DR were detected with an AUC of 0.839 by the ‘Eyecheck’ algorithm and an AUC of 0.821 for ‘Challenge2009’, a statistically non-significant difference (z-score 1.91). If either of the algorithms detected DR in combination, AUC for detection was 0.86, the same as the theoretically expected maximum. At 90% sensitivity, the specificity of the ‘EyeCheck’ algorithm was 47.7% and the ‘Challenge2009’ algorithm, 43.6%. Conclusions DR detection algorithms appear to be maturing, and further improvements in detection performance cannot be differentiated from best clinical practices, because the performance of competitive algorithm development has now reached the human intra-reader variability limit. Additional validation studies on larger, well-defined, but more diverse populations of patients with diabetes are urgently needed, anticipating cost-effective early detection of DR in

  11. Early esophageal cancer detection using RF classifiers

    NASA Astrophysics Data System (ADS)

    Janse, Markus H. A.; van der Sommen, Fons; Zinger, Svitlana; Schoon, Erik J.; de With, Peter H. N.

    2016-03-01

    Esophageal cancer is one of the fastest rising forms of cancer in the Western world. Using High-Definition (HD) endoscopy, gastroenterology experts can identify esophageal cancer at an early stage. Recent research shows that early cancer can be found using a state-of-the-art computer-aided detection (CADe) system based on analyzing static HD endoscopic images. Our research aims at extending this system by applying Random Forest (RF) classification, which introduces a confidence measure for detected cancer regions. To visualize this data, we propose a novel automated annotation system, employing the unique characteristics of the previous confidence measure. This approach allows reliable modeling of multi-expert knowledge and provides essential data for real-time video processing, to enable future use of the system in a clinical setting. The performance of the CADe system is evaluated on a 39-patient dataset, containing 100 images annotated by 5 expert gastroenterologists. The proposed system reaches a precision of 75% and recall of 90%, thereby improving the state-of-the-art results by 11 and 6 percentage points, respectively.

  12. Early detection of materials degradation

    NASA Astrophysics Data System (ADS)

    Meyendorf, Norbert

    2017-02-01

    Lightweight components for transportation and aerospace applications are designed for an estimated lifecycle, taking expected mechanical and environmental loads into account. The main reason for catastrophic failure of components within the expected lifecycle are material inhomogeneities, like pores and inclusions as origin for fatigue cracks, that have not been detected by NDE. However, material degradation by designed or unexpected loading conditions or environmental impacts can accelerate the crack initiation or growth. Conventional NDE methods are usually able to detect cracks that are formed at the end of the degradation process, but methods for early detection of fatigue, creep, and corrosion are still a matter of research. For conventional materials ultrasonic, electromagnetic, or thermographic methods have been demonstrated as promising. Other approaches are focused to surface damage by using optical methods or characterization of the residual surface stresses that can significantly affect the creation of fatigue cracks. For conventional metallic materials, material models for nucleation and propagation of damage have been successfully applied for several years. Material microstructure/property relations are well established and the effect of loading conditions on the component life can be simulated. For advanced materials, for example carbon matrix composites or ceramic matrix composites, the processes of nucleation and propagation of damage is still not fully understood. For these materials NDE methods can not only be used for the periodic inspections, but can significantly contribute to the material scientific knowledge to understand and model the behavior of composite materials.

  13. Early detection and rapid response

    USGS Publications Warehouse

    Westbrooks, Randy G.; Eplee, Robert E.; Simberloff, Daniel; Rejmánek, Marcel

    2011-01-01

    Prevention is the first line of defense against introduced invasive species - it is always preferable to prevent the introduction of new invaders into a region or country. However, it is not always possible to detect all alien hitchhikers imported in cargo, or to predict with any degree of certainty which introduced species will become invasive over time. Fortunately, the majority of introduced plants and animals don't become invasive. But, according to scientists at Cornell University, costs and losses due to species that do become invasive are now estimated to be over $137 billion/year in the United States. Early detection and rapid response (EDRR) is the second line of defense against introduced invasive species - EDRR is the preferred management strategy for preventing the establishment and spread of invasive species. Over the past 50 years, there has been a gradual shift away from large and medium scale federal/state single-agency-led weed eradication programs in the United States, to smaller interagency-led projects involving impacted and potential stakeholders. The importance of volunteer weed spotters in detecting and reporting suspected new invasive species has also been recognized in recent years.

  14. 75 FR 3746 - Ryan White HIV/AIDS Part C Early Intervention Services (EIS) Program

    Federal Register 2010, 2011, 2012, 2013, 2014

    2010-01-22

    ... HUMAN SERVICES Health Resources and Services Administration Ryan White HIV/AIDS Part C Early..., Florida, that will ensure continuity of Part C, Early Intervention Services (EIS), HIV/AIDS care and...: Critical funding for HIV/AIDS care and treatment to the target populations in Orange County,...

  15. Early detection of lung cancer

    PubMed Central

    Midthun, David E.

    2016-01-01

    Most patients with lung cancer are diagnosed when they present with symptoms, they have advanced stage disease, and curative treatment is no longer an option. An effective screening test has long been desired for early detection with the goal of reducing mortality from lung cancer. Sputum cytology, chest radiography, and computed tomography (CT) scan have been studied as potential screening tests. The National Lung Screening Trial (NLST) demonstrated a 20% reduction in mortality with low-dose CT (LDCT) screening, and guidelines now endorse annual LDCT for those at high risk. Implementation of screening is underway with the desire that the benefits be seen in clinical practice outside of a research study format. Concerns include management of false positives, cost, incidental findings, radiation exposure, and overdiagnosis. Studies continue to evaluate LDCT screening and use of biomarkers in risk assessment and diagnosis in attempt to further improve outcomes for patients with lung cancer. PMID:27158468

  16. Computer aided detection of endobronchial valves

    NASA Astrophysics Data System (ADS)

    Ochs, Robert A.; Goldin, Jonathan G.; Abtin, Fereidoun; Ghurabi, Raffi; Rao, Ajay; Ahmad, Shama; da Costa, Irene; Brown, Matthew

    2008-03-01

    The ability to automatically detect and monitor implanted devices may serve an important role in patient care and the evaluation of device and treatment efficacy. The purpose of this research was to develop a system for the automated detection of one-way endobronchial valves implanted as part of a clinical trial for less invasive lung volume reduction. Volumetric thin section CT data was obtained for 275 subjects; 95 subjects implanted with 246 devices were used for system development and 180 subjects implanted with 354 devices were reserved for testing. The detection process consisted of pre-processing, pattern-recognition based detection, and a final device selection. Following the pre-processing, a set of classifiers were trained using AdaBoost to discriminate true devices from false positives (such as calcium deposits). The classifiers in the cascade used simple features (the mean or max attenuation) computed near control points relative to a template model of the valve. Visual confirmation of the system output served as the gold standard. FROC analysis was performed for the evaluation; the system could be set so the mean sensitivity was 96.5% with a mean of 0.18 false positives per subject. These generic device modeling and detection techniques may be applicable to other devices and useful for monitoring the placement and function of implanted devices.

  17. Computer-aided forensics: metal object detection.

    PubMed

    Kelliher, Timothy; Leue, Bill; Lorensen, Bill; Lauric, Alexandra

    2006-01-01

    Recently, forensic investigators1 have started using diagnostic radiology devices (MRI, CT) to acquire image data from cadavers. This new technology, called the virtual autopsy, has the potential to provide a low cost, non-invasive alternative or supplement to conventional autopsies. New image processing techniques are being developed to highlight forensically relevant information in the images. One such technique is the detection and characterization of metal objects embedded in the cadaver. Analysis of this information across a population with similar causes of death can lead to developing improved safety and protection devices with a corresponding reduction in deaths.

  18. Breast Cancer Early Detection and Diagnosis

    MedlinePlus

    ... En Español Category Cancer A-Z Breast Cancer Breast Cancer Early Detection and Diagnosis Breast cancer is sometimes ... cancer screening is so important. Learn more. Can Breast Cancer Be Found Early? Breast cancer is sometimes found ...

  19. Eye examination for early diagnosis of disseminated tuberculosis in patients with AIDS.

    PubMed

    Heiden, David; Saranchuk, Peter; Keenan, Jeremy D; Ford, Nathan; Lowinger, Alan; Yen, Michael; McCune, Joseph; Rao, Narsing A

    2016-04-01

    Choroidal tuberculosis is present in 5-20% of patients with disseminated tuberculosis, and point-of-care dilated binocular indirect ophthalmoscopy eye examination can provide immediate diagnosis. In geographical areas of high tuberculosis prevalence and in susceptible patients (CD4 counts less than 200 cells per μL) detection of choroidal granulomas should be accepted as evidence of disseminated tuberculosis. With training and proper support, eye screening can be done by HIV/AIDS clinicians, allowing early tuberculosis treatment. In regions with a high burden of tuberculosis, we recommend that eye screening be a standard part of the initial assessment of susceptible patients, including at a minimum all patients with HIV/AIDS with CD4 less than 100 cells per μL with or without eye symptoms, and with or without suspicion of disseminated tuberculosis.

  20. Early Cancer Detection for Filipino American Women.

    DTIC Science & Technology

    1998-10-01

    The research goal is to develop a comprehensive intervention designed to increase early breast and cervical cancer detection among Filipino American...women. This population has been shown to have high rates of late stage breast and cervical cancer The first step toward increased early detection is

  1. AIDS: What Early Childhood Educators Need To Know.

    ERIC Educational Resources Information Center

    Spar, Ruth

    Noting that Acquired Immune Deficiency Syndrome (AIDS) is expected to become the fifth leading cause of death for children ages 1 to 4, this paper provides relevant information on AIDS and the Human Immunodeficiency Virus (HIV) to help educators understand that they can work with children and adults who are HIV positive or who have AIDS. The…

  2. Computer aided lytic bone metastasis detection using regular CT images

    NASA Astrophysics Data System (ADS)

    Yao, Jianhua; O'Connor, Stacy D.; Summers, Ronald

    2006-03-01

    This paper presents a computer aided detection system to find lytic bone metastases in the spine. The CAD system is designed to run on routine chest and/or abdominal CT exams (5mm slice thickness) obtained during a patient's evaluation for other indications. The system can therefore serve as a background procedure to detect bone metastases. The spine is first automatically extracted based on adaptive thresholding, morphological operation, and region growing. The spinal cord is then traced from thoracic spine to lumbar spine using a dynamic graph search to set up a local spine coordinate system. A watershed algorithm is then applied to detect potential lytic bone lesions. A set of 26 quantitative features (density, shape and location) are computed for each detection. After a filter on the features, Support Vector Machines (SVM) are used as classifiers to determine if a detection is a true lesion. The SVM was trained using ground truth segmentation manually defined by experts.

  3. Early Detection of Prostate Cancer

    DTIC Science & Technology

    2007-01-01

    effective marker for diagnosis and detection of prostate cancer. Low concentrations of PSA would be detected using acoustic wave sensors because of...associated electrical field. For biological sensors, binding of a substance onto the resonating membrane surface causes a decrease in the acoustic...of diverse conditions and diseases including those that affect the thyroid, HIV, diabetes , pregnancy, and several types of cancer. In clinical

  4. Early Detection of Huntington Disease

    PubMed Central

    Paulsen, Jane S.

    2013-01-01

    SUMMARY Huntington disease (HD) is a devastating illness, although its autosomal dominant genetic transmission allows a unique opportunity to study apparently healthy individuals before manifest disease. Attempts to study early disease are not unique in neurology (e.g., Mild Cognitive Impairment, Vascular Cognitive Impairment), but studying otherwise-healthy appearing individuals who will go on with nearly 99% certainty to manifest the symptoms of brain disease does provide distinct but valuable information about the true natural history of the disease. The field has witnessed an explosion of research examining possible early indicators of HD during what is now referred to as the “prodrome” of HD. A NIH study in its ninth year (PREDICT-HD) has offered a glimpse into the transition from an apparently healthy state to an obviously diseased state, and can serve as a model for many other genetic diseases, both neurological and non-neurological. PMID:24348095

  5. Computer-aided diagnosis of early knee osteoarthritis based on MRI T2 mapping.

    PubMed

    Wu, Yixiao; Yang, Ran; Jia, Sen; Li, Zhanjun; Zhou, Zhiyang; Lou, Ting

    2014-01-01

    This work was aimed at studying the method of computer-aided diagnosis of early knee OA (OA: osteoarthritis). Based on the technique of MRI (MRI: Magnetic Resonance Imaging) T2 Mapping, through computer image processing, feature extraction, calculation and analysis via constructing a classifier, an effective computer-aided diagnosis method for knee OA was created to assist doctors in their accurate, timely and convenient detection of potential risk of OA. In order to evaluate this method, a total of 1380 data from the MRI images of 46 samples of knee joints were collected. These data were then modeled through linear regression on an offline general platform by the use of the ImageJ software, and a map of the physical parameter T2 was reconstructed. After the image processing, the T2 values of ten regions in the WORMS (WORMS: Whole-organ Magnetic Resonance Imaging Score) areas of the articular cartilage were extracted to be used as the eigenvalues in data mining. Then,a RBF (RBF: Radical Basis Function) network classifier was built to classify and identify the collected data. The classifier exhibited a final identification accuracy of 75%, indicating a good result of assisting diagnosis. Since the knee OA classifier constituted by a weights-directly-determined RBF neural network didn't require any iteration, our results demonstrated that the optimal weights, appropriate center and variance could be yielded through simple procedures. Furthermore, the accuracy for both the training samples and the testing samples from the normal group could reach 100%. Finally, the classifier was superior both in time efficiency and classification performance to the frequently used classifiers based on iterative learning. Thus it was suitable to be used as an aid to computer-aided diagnosis of early knee OA.

  6. Computer-aided detection of polyps in optical colonoscopy images

    NASA Astrophysics Data System (ADS)

    Nadeem, Saad; Kaufman, Arie

    2016-03-01

    We present a computer-aided detection algorithm for polyps in optical colonoscopy images. Polyps are the precursors to colon cancer. In the US alone, 14 million optical colonoscopies are performed every year, mostly to screen for polyps. Optical colonoscopy has been shown to have an approximately 25% polyp miss rate due to the convoluted folds and bends present in the colon. In this work, we present an automatic detection algorithm to detect these polyps in the optical colonoscopy images. We use a machine learning algorithm to infer a depth map for a given optical colonoscopy image and then use a detailed pre-built polyp profile to detect and delineate the boundaries of polyps in this given image. We have achieved the best recall of 84.0% and the best specificity value of 83.4%.

  7. Colorectal Cancer: The Importance of Early Detection

    MedlinePlus

    ... of this page please turn JavaScript on. Feature: Colorectal Cancer The Importance of Early Detection Past Issues / Summer ... Cancer of the colon or rectum is called colorectal cancer. The colon and the rectum are part of ...

  8. Kidney Disease: Early Detection and Treatment

    MedlinePlus

    ... Bar Home Current Issue Past Issues Special Section Kidney Disease: Early Detection and Treatment Past Issues / Winter ... called a "urine albumin-to-creatinine ratio." Treating Kidney Disease Kidney disease is usually a progressive disease, ...

  9. Early detection of contagious diseases

    DOEpatents

    Colston, Jr., Billy W.; Milanovich, Fred P.; Estacio, Pedro; Chang, John

    2011-08-09

    This invention provides an electronic proximity apparatus and a surveillance method using such an apparatus for alerting individuals that are exposed to a contagious disease. When a person becomes symptomatic and is diagnosed as positive for a given contagious agent, individuals that have recently maintained a threshold proximity with respect to an infected individual are notified and advised to seek immediate medial care. Treatment of individuals in the very early phases of infection (pre-symptomatic) significantly reduces contagiousness of the infected population first exposed to the contagious disease, thus preventing spread of the disease throughout the general population.

  10. 78 FR 31568 - Ryan White HIV/AIDS Program, Part C Early Intervention Services Grant Under the Ryan White HIV...

    Federal Register 2010, 2011, 2012, 2013, 2014

    2013-05-24

    ... White HIV/AIDS Program, Part C Early Intervention Services Grant Under the Ryan White HIV/AIDS Program.... ACTION: Notice of Ryan White HIV/AIDS Program Part C Early Intervention Services One-Time Noncompetitive... care services for persons living with HIV/AIDS, HRSA will provide a one-time noncompetitive Ryan...

  11. PACS-Based Computer-Aided Detection and Diagnosis

    NASA Astrophysics Data System (ADS)

    Huang, H. K. (Bernie); Liu, Brent J.; Le, Anh HongTu; Documet, Jorge

    The ultimate goal of Picture Archiving and Communication System (PACS)-based Computer-Aided Detection and Diagnosis (CAD) is to integrate CAD results into daily clinical practice so that it becomes a second reader to aid the radiologist's diagnosis. Integration of CAD and Hospital Information System (HIS), Radiology Information System (RIS) or PACS requires certain basic ingredients from Health Level 7 (HL7) standard for textual data, Digital Imaging and Communications in Medicine (DICOM) standard for images, and Integrating the Healthcare Enterprise (IHE) workflow profiles in order to comply with the Health Insurance Portability and Accountability Act (HIPAA) requirements to be a healthcare information system. Among the DICOM standards and IHE workflow profiles, DICOM Structured Reporting (DICOM-SR); and IHE Key Image Note (KIN), Simple Image and Numeric Report (SINR) and Post-processing Work Flow (PWF) are utilized in CAD-HIS/RIS/PACS integration. These topics with examples are presented in this chapter.

  12. American Cancer Society Recommendations for Prostate Cancer Early Detection

    MedlinePlus

    ... Prostate Cancer Prevention and Early Detection American Cancer Society Recommendations for Prostate Cancer Early Detection The American Cancer Society (ACS) recommends that men have a chance to ...

  13. [Early detection and treatment of strabismus].

    PubMed

    Mojon, Daniel

    2016-01-01

    An early diagnosis of strabismus is important in order to rule out treatable organic causes and in children, if indicated, to start as early as possible with an amblyopia treatment. Early detection will also decrease the risk for accidents secondary to diplopia, to the loss of binocular vision and to the restriction of the binocular visual field in case of esodeviations. The following therapeutic options exist: in some cases the prescription of the correct refraction will be sufficient, for small deviations a prismatic correction may allow a longstanding treatment, for larger or incomitant deviations strabismus surgery will be necessary, which nowadays can be performed using minimal-invasive technique on an outpatient base.

  14. Early Commitment Financial Aid Programs: Promises, Practices, and Policies

    ERIC Educational Resources Information Center

    Blanco, Cheryl D.

    2005-01-01

    Student financial assistance has long been a means to promote access to postsecondary education and attainment of college degrees. Numerous types of financial aid programs have proliferated over the years, including a relatively new concept that specifically targets high-risk, low-income students, focusing not just on getting them to go to college…

  15. Early Detection of Sporadic Pancreatic Cancer

    PubMed Central

    Kenner, Barbara J.; Chari, Suresh T.; Cleeter, Deborah F.; Go, Vay Liang W.

    2015-01-01

    Abstract Innovation leading to significant advances in research and subsequent translation to clinical practice is urgently necessary in early detection of sporadic pancreatic cancer. Addressing this need, the Early Detection of Sporadic Pancreatic Cancer Summit Conference was conducted by Kenner Family Research Fund in conjunction with the 2014 American Pancreatic Association and Japan Pancreas Society Meeting. International interdisciplinary scientific representatives engaged in strategic facilitated conversations based on distinct areas of inquiry: Case for Early Detection: Definitions, Detection, Survival, and Challenges; Biomarkers for Early Detection; Imaging; and Collaborative Studies. Ideas generated from the summit have led to the development of a Strategic Map for Innovation built upon 3 components: formation of an international collaborative effort, design of an actionable strategic plan, and implementation of operational standards, research priorities, and first-phase initiatives. Through invested and committed efforts of leading researchers and institutions, philanthropic partners, government agencies, and supportive business entities, this endeavor will change the future of the field and consequently the survival rate of those diagnosed with pancreatic cancer. PMID:25938853

  16. Candidate determination for computer aided detection of colon polyps

    NASA Astrophysics Data System (ADS)

    Bitter, Ingmar; Aslam, Bushra; Huang, Adam; Summers, Ronald M.

    2005-04-01

    Given a segmented CT scan data of the colon represented as a triangle mesh, our water-plane algorithm will detect polyp candidates. The water-plane method comprises of pouring water into a polyp protrusion from the outside of the colon and in raising the "water-plane" until it cannot be incremented any further without causing water leakage. The method starts at a vertex and uses average normal of all triangles adjacent to the starting vertex to generate the initial water-plane, which will make the starting vertex "wet" but leave its neighboring vertices "dry". The method will continue to wet neighboring vertices one by one and then their neighbors and so on until the water-plane cannot move any further without causing water leakage. The water-plane movement alternates between just raising the water level in completely convex regions and tilting about one or two anchor vertices that have neighbors that would get wet if the water level was raised any more. The final set of wet vertices is a cluster that is an initial polyp candidate. The water-plane method was compared against the current polyp candidate detection method in our Computer Aided Detection of Colon Polyps software pipeline, called the surface curvature method. It finds clusters of connected vertices that all exhibit elliptical curvature. The water-plane method showed multiple improvements in polyp candidate detection. It detected polyp candidates missed by the surface curvature method. It exhibited continuous polyp candidate regions instead of non-uniform or incomplete regions detected by the surface curvature method. And finally, it avoided some false positive detections reported by surface curvature method.

  17. Computer-aided detection of colonic polyps using volume rendering

    NASA Astrophysics Data System (ADS)

    Hong, Wei; Qiu, Feng; Marino, Joseph; Kaufman, Arie

    2007-03-01

    This work utilizes a novel pipeline for the computer-aided detection (CAD) of colonic polyps, assisting radiologists in locating polyps when using a virtual colonoscopy system. Our CAD pipeline automatically detects polyps while reducing the number of false positives (FPs). It integrates volume rendering and conformal colon flattening with texture and shape analysis. The colon is first digitally cleansed, segmented, and extracted from the CT dataset of the abdomen. The colon surface is then mapped to a 2D rectangle using conformal mapping. Using this colon flattening method, the CAD problem is converted from 3D into 2D. The flattened image is rendered using a direct volume rendering of the 3D colon dataset with a translucent transfer function. Suspicious polyps are detected by applying a clustering method on the 2D volume rendered image. The FPs are reduced by analyzing shape and texture features of the suspicious areas detected by the clustering step. Compared with shape-based methods, ours is much faster and much more efficient as it avoids computing curvature and other shape parameters for the whole colon wall. We tested our method with 178 datasets and found it to be 100% sensitive to adenomatous polyps with a low rate of FPs. The CAD results are seamlessly integrated into a virtual colonoscopy system, providing the radiologists with visual cues and likelihood indicators of areas likely to contain polyps, and allowing them to quickly inspect the suspicious areas and further exploit the flattened colon view for easy navigation and bookmark placement.

  18. Computer Aided Detection of SARS Based on Radiographs Data Mining.

    PubMed

    Xuanyang, Xie; Yuchang, Gong; Shouhong, Wan; Xi, Li

    2005-01-01

    This paper introduces our work on how to use image mining techniques to detect SARS, the severe acute respiratory syndrome, automatically as the prototype of computer aided detection/diagnosis (CAD) system. Data used in this paper are digitalized PA(posterior anterior) X-ray images stored in the real-life picture archiving and communication system (PACS) of the 2nd Affiliation Hospital of Guangzhou Medical College. Association rule mining was applied first but results showed there was no significant difference between the locations of the lesions or infiltrate. Classification based on image textures was performed. A sample set contains both the pneumonia and SARS X-ray images was built in the first place. After modeling each sample by a feature vector, the sample set was partitioned to match the detection purpose: classification. Three methods were used: C4.5, neural network (NN) and CART. Final result shows that 70.94% SARS cases can be detected by CART. Data preparation, segmentation, feature extraction and data mining steps, with corresponding techniques are included in this paper. ROC charts and confusion matrix by all three methods are given and analyzed.

  19. The Development of Technological Support for RAF Early Failure Detection Centers.

    DTIC Science & Technology

    2007-11-02

    Key Words: Computer aided ; CASPA ; CAVE; debris analysis; Early Failure Detection Centres; equipment health monitoring; Royal Air Force; Wear Particle...of neural networks and image analysis techniques. CASPA : The Computer Aided Systematic Particle Analysis ( CASPA ) system has been developed as a...advantages of CASPA is that, as an expert system it may be 2 used by inexperienced personnel, while repeated use will train the operator in the

  20. AIDS

    MedlinePlus

    ... page: //medlineplus.gov/ency/article/000594.htm HIV/AIDS To use the sharing features on this page, ... immunodeficiency virus (HIV) is the virus that causes AIDS. When a person becomes infected with HIV, the ...

  1. Security Clearances: Additional Mechanisms May Aid Federal Tax-Debt Detection

    DTIC Science & Technology

    2015-03-18

    SECURITY CLEARANCES Additional Mechanisms May Aid Federal Tax -Debt Detection Statement of Seto J. Bagdoyan, Director...Additional Mechanisms May Aid Federal Tax -Debt Detection 5a. CONTRACT NUMBER 5b. GRANT NUMBER 5c. PROGRAM ELEMENT NUMBER 6. AUTHOR(S) 5d. PROJECT NUMBER...Mechanisms May Aid Federal Tax -Debt Detection Why GAO Did This Study According to ODNI, several million civilian and military federal employees

  2. Computer-aided Detection of Prostate Cancer with MRI: Technology and Applications.

    PubMed

    Liu, Lizhi; Tian, Zhiqiang; Zhang, Zhenfeng; Fei, Baowei

    2016-08-01

    One in six men will develop prostate cancer in his lifetime. Early detection and accurate diagnosis of the disease can improve cancer survival and reduce treatment costs. Recently, imaging of prostate cancer has greatly advanced since the introduction of multiparametric magnetic resonance imaging (mp-MRI). Mp-MRI consists of T2-weighted sequences combined with functional sequences including dynamic contrast-enhanced MRI, diffusion-weighted MRI, and magnetic resonance spectroscopy imaging. Because of the big data and variations in imaging sequences, detection can be affected by multiple factors such as observer variability and visibility and complexity of the lesions. To improve quantitative assessment of the disease, various computer-aided detection systems have been designed to help radiologists in their clinical practice. This review paper presents an overview of literatures on computer-aided detection of prostate cancer with mp-MRI, which include the technology and its applications. The aim of the survey is threefold: an introduction for those new to the field, an overview for those working in the field, and a reference for those searching for literature on a specific application.

  3. Computer-aided marginal artery detection on computed tomographic colonography

    NASA Astrophysics Data System (ADS)

    Wei, Zhuoshi; Yao, Jianhua; Wang, Shijun; Liu, Jiamin; Summers, Ronald M.

    2012-03-01

    Computed tomographic colonography (CTC) is a minimally invasive technique for colonic polyps and cancer screening. The marginal artery of the colon, also known as the marginal artery of Drummond, is the blood vessel that connects the inferior mesenteric artery with the superior mesenteric artery. The marginal artery runs parallel to the colon for its entire length, providing the blood supply to the colon. Detecting the marginal artery may benefit computer-aided detection (CAD) of colonic polyp. It can be used to identify teniae coli based on their anatomic spatial relationship. It can also serve as an alternative marker for colon localization, in case of colon collapse and inability to directly compute the endoluminal centerline. This paper proposes an automatic method for marginal artery detection on CTC. To the best of our knowledge, this is the first work presented for this purpose. Our method includes two stages. The first stage extracts the blood vessels in the abdominal region. The eigenvalue of Hessian matrix is used to detect line-like structures in the images. The second stage is to reduce the false positives in the first step. We used two different masks to exclude the false positive vessel regions. One is a dilated colon mask which is obtained by colon segmentation. The other is an eroded visceral fat mask which is obtained by fat segmentation in the abdominal region. We tested our method on a CTC dataset with 6 cases. Using ratio-of-overlap with manual labeling of the marginal artery as the standard-of-reference, our method yielded true positive, false positive and false negative fractions of 89%, 33%, 11%, respectively.

  4. Automatic Detection of Pectoral Muscle Region for Computer-Aided Diagnosis Using MIAS Mammograms

    PubMed Central

    Chae, Eun Young; Kim, Hak Hee

    2016-01-01

    The computer-aided detection (CAD) systems have been developed to help radiologists with the early detection of breast cancer. This system provides objective and accurate information to reduce the misdiagnosis of the disease. In mammography, the pectoral muscle region is used as an index to compare the symmetry between the left and right images in the mediolateral oblique (MLO) view. The pectoral muscle segmentation is necessary for the detection of microcalcification or mass because the pectoral muscle has a similar pixel intensity as that of lesions, which affects the results of automatic detection. In this study, the mammographic image analysis society database (MIAS, 322 cases) was used for detecting the pectoral muscle segmentation. The pectoral muscle was detected by using the morphological method and the random sample consensus (RANSAC) algorithm. We evaluated the detected pectoral muscle region and compared the manual segmentation with the automatic segmentation. The results showed 92.2% accuracy. We expect that the proposed method improves the detection accuracy of breast cancer lesions using a CAD system. PMID:27847817

  5. Technology-aided assessment of sensorimotor function in early infancy.

    PubMed

    Allievi, Alessandro G; Arichi, Tomoki; Gordon, Anne L; Burdet, Etienne

    2014-01-01

    There is a pressing need for new techniques capable of providing accurate information about sensorimotor function during the first 2 years of childhood. Here, we review current clinical methods and challenges for assessing motor function in early infancy, and discuss the potential benefits of applying technology-assisted methods. We also describe how the use of these tools with neuroimaging, and in particular functional magnetic resonance imaging (fMRI), can shed new light on the intra-cerebral processes underlying neurodevelopmental impairment. This knowledge is of particular relevance in the early infant brain, which has an increased capacity for compensatory neural plasticity. Such tools could bring a wealth of knowledge about the underlying pathophysiological processes of diseases such as cerebral palsy; act as biomarkers to monitor the effects of possible therapeutic interventions; and provide clinicians with much needed early diagnostic information.

  6. Technology-Aided Assessment of Sensorimotor Function in Early Infancy

    PubMed Central

    Allievi, Alessandro G.; Arichi, Tomoki; Gordon, Anne L.; Burdet, Etienne

    2014-01-01

    There is a pressing need for new techniques capable of providing accurate information about sensorimotor function during the first 2 years of childhood. Here, we review current clinical methods and challenges for assessing motor function in early infancy, and discuss the potential benefits of applying technology-assisted methods. We also describe how the use of these tools with neuroimaging, and in particular functional magnetic resonance imaging (fMRI), can shed new light on the intra-cerebral processes underlying neurodevelopmental impairment. This knowledge is of particular relevance in the early infant brain, which has an increased capacity for compensatory neural plasticity. Such tools could bring a wealth of knowledge about the underlying pathophysiological processes of diseases such as cerebral palsy; act as biomarkers to monitor the effects of possible therapeutic interventions; and provide clinicians with much needed early diagnostic information. PMID:25324827

  7. Disseminated Acanthamoeba sinusitis in a patient with AIDS: a possible role for early antiretroviral therapy.

    PubMed

    Carter, Wendy W; Gompf, Sandra G; Toney, John F; Greene, John N; Cutolo, Edward P

    2004-01-01

    Acanthamoeba, a free-living ameba, has been reported to infect humans with subacute encephalitis, sinusitis, or keratitis. Multiple cases of Acanthamoeba sinusitis with dissemination have been reported in association with AIDS, with high mortality. We report successful treatment of a 35-year-old woman who presented with sinusitis that progressed to disseminated acanthamebiasis as her initial manifestation of AIDS. To our knowledge, our patient was one of the few and longest-lived survivors of disseminated Acanthamoeba infection with AIDS. As with other opportunistic infections, early aggressive therapy including HAART may alter the outcome in this almost uniformly fatal disease.

  8. Target Impact Detection Algorithm Using Computer-aided Design (CAD) Model Geometry

    DTIC Science & Technology

    2014-09-01

    UNCLASSIFIED AD-E403 558 Technical Report ARMET-TR-13024 TARGET IMPACT DETECTION ALGORITHM USING COMPUTER-AIDED DESIGN ( CAD ...DETECTION ALGORITHM USING COMPUTER-AIDED DESIGN ( CAD ) MODEL GEOMETRY 5a. CONTRACT NUMBER 5b. GRANT NUMBER 5c. PROGRAM ELEMENT NUMBER 6...This report documents a method and algorithm to export geometry from a three-dimensional, computer-aided design ( CAD ) model in a format that can be

  9. Effectiveness of computer aided detection for solitary pulmonary nodules

    NASA Astrophysics Data System (ADS)

    Yan, Jiayong; Li, Wenjie; Du, Xiangying; Lu, Huihai; Xu, Jianrong; Xu, Mantao; Rong, Dongdong

    2009-02-01

    This study is to investigate the incremental effect of using a high performance computer-aided detection (CAD) system in detection of solitary pulmonary nodules in chest radiographs. The Kodak Chest CAD system was evaluated by a panel of six radiologists at different levels of experience. The observer study consisted of two independent phases: readings without CAD and readings with assistance of CAD. The study was conducted over a set of chest radiographs comprising 150 cancer cases and 150 cancer-free cases. The actual sensitivity of the CAD system is 72% with 3.7 false positives per case. Receiver operating characteristic (ROC) analysis was used to assess the overall observer performance. The AUZ (area under ROC curve) showed a significantly improvement (P=0.0001) from 0.844 to 0.884 after using CAD. The ROC analysis was also applied for observer performances on nodules in different sizes and visibilities. The average AUZs are improved from 0.798 to 0.835 (P=0.0003) for 5-10mm nodules, 0.853 to 0.907 (P=0.001) for 10-15mm nodules, 0.864 to 0.897 (P=0.051) for 15-20 mm nodules and 0.859 to 0.896 (P=0.0342) for 20-30mm nodules, respectively. For different visibilities, the average AUZs are improved from 0.886 to 0.915 (P=0.0337), 0.803 to 0.840 (P=0.063), 0.830 to 0.893 (P=0.0001), and 0.813 to 0.847 (P=0.152), for nodules clearly visible, hidden by ribs, partially overlap with ribs, and overlap with other structures, respectively. These results showed that observer performance could be greatly improved when the CAD system is employed as a second reader, especially for small nodules and nodules occluded by ribs.

  10. Computer-aided detection (CAD) of breast masses in mammography: combined detection and ensemble classification

    NASA Astrophysics Data System (ADS)

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

    2014-07-01

    We propose a novel computer-aided detection (CAD) framework of breast masses in mammography. To increase detection sensitivity for various types of mammographic masses, we propose the combined use of different detection algorithms. In particular, we develop a region-of-interest combination mechanism that integrates detection information gained from unsupervised and supervised detection algorithms. Also, to significantly reduce the number of false-positive (FP) detections, the new ensemble classification algorithm is developed. Extensive experiments have been conducted on a benchmark mammogram database. Results show that our combined detection approach can considerably improve the detection sensitivity with a small loss of FP rate, compared to representative detection algorithms previously developed for mammographic CAD systems. The proposed ensemble classification solution also has a dramatic impact on the reduction of FP detections; as much as 70% (from 15 to 4.5 per image) at only cost of 4.6% sensitivity loss (from 90.0% to 85.4%). Moreover, our proposed CAD method performs as well or better (70.7% and 80.0% per 1.5 and 3.5 FPs per image respectively) than the results of mammography CAD algorithms previously reported in the literature.

  11. Temporary sweetening unit aids early oil, gas production

    SciTech Connect

    Not Available

    1995-02-13

    Early in 1992, Amerada Hess recognized that the Scott platform would be ready to export oil and gas in late 1993, several months before gas processing would become available at St. Fergus. ICI Katalco's Puraspec 100 Process was selected to purify the associated gas to pipeline quality. The unit was installed in April 1993 and began treating gas in October. St. Fergus processing became available April 1, 1994, on schedule. Operation of the platform unit has continued since then, controlling H[sub 2]S content as well as providing the flexibility of exporting on-specification gas for any feed rate and H[sub 2]S content. The paper describes the design and operation of the Scott platform and is facilities.

  12. Early and complete detection of HIV exposure.

    PubMed

    Jehuda-Cohen, T

    1993-10-01

    Currently, HIV diagnosis relies on serology. Yet in groups at high risk for HIV serology is not sufficient because of the window period between infection and seroconversion. There is a growing body of reports on HIV-infected yet seronegative individuals. Some tests have been developed to identify exposure to HIV by its effect on the cells of the immune system that would differentiate following exposure to the foreign antigens. Detection, in vitro, of HIV-specific B and T cells in seronegative, at risk individuals has been reported. In only some of these individuals was an HIV infection confirmed by other methods. These new assays to detect HIV immunity enable us to identify two new groups among seronegative, at risk individuals; namely those with immunity to HIV and a detectable HIV infection (silent carriers), and those with immunity and no proof of infection. Both groups have been exposed to HIV yet are not being detected by serology. Both might hold information on other forms of HIV immunity, possibly a protective one. Thus there could be an important role for other immunological assays in early detection of HIV exposure.

  13. [Fitting hearing aids in early childhood based on auditory evoked potentials in steady states].

    PubMed

    Zenker Castro, F; Fernández Belda, R; Barajas de Prat, J J

    2006-11-01

    The purpose of the Newborn Hearing Screening Program is to achieve early. Identification and appropriate intervention for hearing loss. Hearing aids are the most frequent intervention for deafness. Paediatric specific clinical protocols for fitting hearing aids always recommend accurate characterisation of hearing thresholds in newborns. In this sense, electrophysiological procedures are specially indicated in determined hearing sensibility from the first age of life since it is an objective and reliable procedure. 20 normal hearing subject and 17 hearing loss subjects participated in this study. Auditory Steady State Responses (ASSR) were obtained from all of them. Hearing aid fitting was established from the electrophysiological responses. Dynamic range, gain, compression ratio and maximum output of the hearing aid were obtained from the intensity amplitude function of the ASSR. The procedure discussed in this study is specially indicated in newborns and very young children in which other test are not suitable.

  14. 78 FR 18989 - Ryan White HIV/AIDS Program, Part C Early Intervention Services Grant Under the Ryan White HIV...

    Federal Register 2010, 2011, 2012, 2013, 2014

    2013-03-28

    ... HUMAN SERVICES Health Resources and Services Administration Ryan White HIV/AIDS Program, Part C Early Intervention Services Grant Under the Ryan White HIV/AIDS Program AGENCY: Health Resources and Services Administration (HRSA), Department of Health and Human Services. ACTION: Notice of Ryan White HIV/AIDS...

  15. 78 FR 10183 - Ryan White HIV/AIDS Program, Part C Early Intervention Services Grant Under the Ryan White HIV...

    Federal Register 2010, 2011, 2012, 2013, 2014

    2013-02-13

    ... HUMAN SERVICES Health Resources and Services Administration Ryan White HIV/AIDS Program, Part C Early Intervention Services Grant Under the Ryan White HIV/AIDS Program AGENCY: Health Resources and Services... prevent a lapse in comprehensive primary care services for persons living with HIV/AIDS, HRSA will...

  16. 78 FR 10183 - Ryan White HIV/AIDS Program, Part C Early Intervention Services Grant Under the Ryan White HIV...

    Federal Register 2010, 2011, 2012, 2013, 2014

    2013-02-13

    ... HUMAN SERVICES Health Resources and Services Administration Ryan White HIV/AIDS Program, Part C Early Intervention Services Grant Under the Ryan White HIV/AIDS Program AGENCY: Health Resources and Services Administration (HRSA), Department of Health and Human Services. ACTION: Notice of Ryan White HIV/AIDS...

  17. 78 FR 10182 - Ryan White HIV/AIDS Program, Part C Early Intervention Services Grant Under the Ryan White HIV...

    Federal Register 2010, 2011, 2012, 2013, 2014

    2013-02-13

    ... HUMAN SERVICES Health Resources and Services Administration Ryan White HIV/AIDS Program, Part C Early Intervention Services Grant Under the Ryan White HIV/AIDS Program AGENCY: Health Resources and Services Administration (HRSA), Department of Health and Human Services. ACTION: Notice of Ryan White HIV/AIDS...

  18. 78 FR 10183 - Ryan White HIV/AIDS Program, Part C Early Intervention Services Grant Under the Ryan White HIV...

    Federal Register 2010, 2011, 2012, 2013, 2014

    2013-02-13

    ... HUMAN SERVICES Health Resources and Services Administration Ryan White HIV/AIDS Program, Part C Early Intervention Services Grant Under the Ryan White HIV/AIDS Program AGENCY: Health Resources and Services... a lapse in comprehensive primary care services for persons living with HIV/AIDS, HRSA will...

  19. 78 FR 78976 - Ryan White HIV/AIDS Program Part C Early Intervention Services Grant Under the Ryan White HIV...

    Federal Register 2010, 2011, 2012, 2013, 2014

    2013-12-27

    ... HUMAN SERVICES Health Resources and Services Administration Ryan White HIV/AIDS Program Part C Early Intervention Services Grant Under the Ryan White HIV/AIDS Program AGENCY: Health Resources and Services Administration (HRSA), Department of Health and Human Services. ACTION: Notice of Ryan White HIV/AIDS...

  20. Computer aided detection of surgical retained foreign object for prevention

    SciTech Connect

    Hadjiiski, Lubomir Marentis, Theodore C.; Rondon, Lucas; Chan, Heang-Ping; Chaudhury, Amrita R.; Chronis, Nikolaos

    2015-03-15

    Purpose: Surgical retained foreign objects (RFOs) have significant morbidity and mortality. They are associated with approximately $1.5 × 10{sup 9} annually in preventable medical costs. The detection accuracy of radiographs for RFOs is a mediocre 59%. The authors address the RFO problem with two complementary technologies: a three-dimensional (3D) gossypiboma micro tag, the μTag that improves the visibility of RFOs on radiographs, and a computer aided detection (CAD) system that detects the μTag. It is desirable for the CAD system to operate in a high specificity mode in the operating room (OR) and function as a first reader for the surgeon. This allows for fast point of care results and seamless workflow integration. The CAD system can also operate in a high sensitivity mode as a second reader for the radiologist to ensure the highest possible detection accuracy. Methods: The 3D geometry of the μTag produces a similar two dimensional (2D) depiction on radiographs regardless of its orientation in the human body and ensures accurate detection by a radiologist and the CAD. The authors created a data set of 1800 cadaver images with the 3D μTag and other common man-made surgical objects positioned randomly. A total of 1061 cadaver images contained a single μTag and the remaining 739 were without μTag. A radiologist marked the location of the μTag using an in-house developed graphical user interface. The data set was partitioned into three independent subsets: a training set, a validation set, and a test set, consisting of 540, 560, and 700 images, respectively. A CAD system with modules that included preprocessing μTag enhancement, labeling, segmentation, feature analysis, classification, and detection was developed. The CAD system was developed using the training and the validation sets. Results: On the training set, the CAD achieved 81.5% sensitivity with 0.014 false positives (FPs) per image in a high specificity mode for the surgeons in the OR and 96

  1. Method for early detection of infectious mononucleosis

    DOEpatents

    Willard, K.E.

    1982-08-10

    Early detection of infectious mononucleosis is carried out using a sample of human blood by isolating and identifying the presence of Inmono proteins in the sample from a two-dimensional protein map with the proteins being characterized by having isoelectric banding as measured in urea of about -16 to -17 with respect to certain isoelectric point standards and molecular mass of about 70 to 75 K daltons as measured in the presence of sodium dodecylsulfate containing polyacrylamide gels, the presence of the Inmono proteins being correlated with the existence of infectious mononucleosis.

  2. Local pulmonary structure classification for computer-aided nodule detection

    NASA Astrophysics Data System (ADS)

    Bahlmann, Claus; Li, Xianlin; Okada, Kazunori

    2006-03-01

    We propose a new method of classifying the local structure types, such as nodules, vessels, and junctions, in thoracic CT scans. This classification is important in the context of computer aided detection (CAD) of lung nodules. The proposed method can be used as a post-process component of any lung CAD system. In such a scenario, the classification results provide an effective means of removing false positives caused by vessels and junctions thus improving overall performance. As main advantage, the proposed solution transforms the complex problem of classifying various 3D topological structures into much simpler 2D data clustering problem, to which more generic and flexible solutions are available in literature, and which is better suited for visualization. Given a nodule candidate, first, our solution robustly fits an anisotropic Gaussian to the data. The resulting Gaussian center and spread parameters are used to affine-normalize the data domain so as to warp the fitted anisotropic ellipsoid into a fixed-size isotropic sphere. We propose an automatic method to extract a 3D spherical manifold, containing the appropriate bounding surface of the target structure. Scale selection is performed by a data driven entropy minimization approach. The manifold is analyzed for high intensity clusters, corresponding to protruding structures. Techniques involve EMclustering with automatic mode number estimation, directional statistics, and hierarchical clustering with a modified Bhattacharyya distance. The estimated number of high intensity clusters explicitly determines the type of pulmonary structures: nodule (0), attached nodule (1), vessel (2), junction (>3). We show accurate classification results for selected examples in thoracic CT scans. This local procedure is more flexible and efficient than current state of the art and will help to improve the accuracy of general lung CAD systems.

  3. Life Detection on the Early Earth

    NASA Technical Reports Server (NTRS)

    Runnegar, B.

    2004-01-01

    Finding evidence for first the existence, and then the nature of life on the early Earth or early Mars requires both the recognition of subtle biosignatures and the elimination of false positives. The history of the search for fossils in increasingly older Precambrian strata illustrates these difficulties very clearly, and new observational and theoretical approaches are both needed and being developed. At the microscopic level of investigation, three-dimensional morphological characterization coupled with in situ chemical (isotopic, elemental, structural) analysis is the desirable first step. Geological context is paramount, as has been demonstrated by the controversies over AH84001, the Greenland graphites, and the Apex chert microfossils . At larger scales, the nature of sedimentary bedforms and the structures they display becomes crucial, and here the methods of condensed matter physics prove most useful in discriminating between biological and non-biological constructions. Ultimately, a combination of geochemical, morphological, and contextural evidence may be required for certain life detection on the early Earth or elsewhere.

  4. Prevention and Early Detection of Prostate Cancer

    PubMed Central

    Cuzick, Jack; Thorat, Mangesh A.; Andriole, Gerald; Brawley, Otis W.; Brown, Powel H.; Culig, Zoran; Eeles, Rosalind A.; Ford, Leslie G.; Hamdy, Freddie C.; Holmberg, Lars; Ilic, Dragan; Key, Timothy J.; La Vecchia, Carlo; Lilja, Hans; Marberger, Michael; Meyskens, Frank L.; Minasian, Lori M.; Parker, Chris; Parnes, Howard L.; Perner, Sven; Rittenhouse, Harry; Schalken, Jack; Schmid, Hans-Peter; Schmitz-Dräger, Bernd J.; Schröder, Fritz H.; Stenzl, Arnulf; Tombal, Bertrand; Wilt, Timothy J.; Wolk, Alicja

    2014-01-01

    Prostate cancer is one of the most common cancers in men and the global burden of this disease is rising. Lifestyle modifications like smoking cessation, exercise and weight control offer opportunities to decrease the risk of developing prostate cancer. Early detection of prostate cancer by PSA screening remains controversial; yet, changes in PSA threshold, frequency of screening, and addition of other biomarkers have potential to minimise overdiagnosis associated with PSA screening. Several new biomarkers appear promising in individuals with elevated PSA levels or those diagnosed with prostate cancer, these are likely to guide in separating individuals who can be spared of aggressive treatment from those who need it. Several pharmacological agents like 5α-reductase inhibitors, aspirin etc. have a potential to prevent development of prostate cancer. In this review, we discuss the current evidence and research questions regarding prevention, early detection of prostate cancer and management of men either at high risk of prostate cancer or diagnosed with low-grade prostate cancer. PMID:25281467

  5. Biomarkers for early detection of Alzheimer disease.

    PubMed

    Barber, Robert C

    2010-09-01

    The existence of an effective biomarker for early detection of Alzheimer disease would facilitate improved diagnosis and stimulate therapeutic trials. Multidisciplinary clinical diagnosis of Alzheimer disease is time consuming and expensive and relies on experts who are rarely available outside of specialty clinics. Thus, many patients do not receive proper diagnosis until the disease has progressed beyond stages in which treatments are maximally effective. In the clinical trial setting, rapid, cost-effective screening of patients for Alzheimer disease is of paramount importance for the development of new treatments. Neuroimaging of cortical amyloid burden and volumetric changes in the brain and assessment of protein concentrations (eg, β-amyloid 1-42, total tau, phosphorylated tau) in cerebrospinal fluid are diagnostic tools that are not widely available. Known genetic markers do not provide sufficient discriminatory power between different forms of dementia to be useful in isolation. Recent studies using panels of biomarkers for diagnosis of Alzheimer disease or mild cognitive impairment have been promising, though no such studies have been cross-validated in independent samples of subjects. The ideal biomarker enabling early detection of Alzheimer disease has not yet been identified.

  6. Malignant external otitis: early scintigraphic detection

    SciTech Connect

    Strashun, A.M.; Nejatheim, M.; Goldsmith, S.J.

    1984-02-01

    Pseudomonas otitis externa in elderly diabetics may extend aggressively to adjacent bone, cranial nerves, meninges, and vessels, leading to a clinical diagnosis of ''malignant'' external otitis. Early diagnosis is necessary for successful treatment. This study compares the findings of initial radiographs, thin-section tomography of temporal bone, CT scans of head and neck, technetium-99m methylene diphosphonate (MDP) and gallium-67 citrate scintigraphy, and single-photon emission computed tomography (SPECT) for detection of temporal bone osteomylitis in ten patients fulfilling the clinical diagnostic criteria of malignant external otitis. Skull radiographs were negative in all of the eight patients studied. Thin-section tomography was positive in one of the seven patients studied using this modality. CT scanning suggested osteomyelitis in three of nine patients. Both Tc-99m and Ga-67 citrate scintigraphy were positive in 10 of 10 patients. These results suggest that technetium and gallium scintigraphy are more sensitive than radiographs and CT scans for early detection of malignant external otitis.

  7. About the Early Detection Research Group | Division of Cancer Prevention

    Cancer.gov

    The Early Detection Research Group supports research that seeks to determine the effectiveness, operating characteristics and clinical impact (harms as well as benefits) of cancer early detection technologies and practices, such as imaging and molecular biomarker approaches.   The group ran two large-scale early detection trials for which data and biospecimens are available for additional research: |

  8. Early Detection of Tsunami Scales using GPS

    NASA Astrophysics Data System (ADS)

    Song, Y.

    2013-12-01

    This talk reviews how tsunamis form from earthquakes and how GPS technologies can be used to detect tsunami energy scales in real time. Most tsunami fatalities occur in near-field communities of earthquakes at offshore faults. Tsunami early warning is key for reducing the number of fatalities. Unfortunately, an earthquake's magnitude often does not gauge the resulting tsunami power. Here we show that real-time GPS stations along coastlines are able to detect seafloor motions due to big earthquakes, and that the detected seafloor displacements are able to determine tsunami energy and scales instantaneously for early warnings. Our method focuses on estimating tsunami energy directly from seafloor motions because a tsunami's potential or scale, no matter how it is defined, has to be proportional to the tsunami energy. Since seafloor motions are the only source of a tsunami, their estimation directly relates to the mechanism that generates tsunamis; therefore, it is a proper way of identifying earthquakes that are capable of triggering tsunamis, while being able to discriminate those particular earthquakes from false alarms. Examples of detecting the tsunami energy scales for the 2004 Sumatra M9.1 earthquake, the 2005 Nias M8.7 earthquake, the 2010 M8.8 Chilean earthquake, and the 2011 M9.0 Tohoku-Oki earthquake will be presented. Related reference: 1. Xu, Z. and Y. T. Song (2013), Combining the all-source Green's functions and the GPS-derived source for fast tsunami prediction - illustrated by the March 2011 Japan tsunami, J. Atmos. Oceanic Tech., jtechD1200201. 2. Song, Y. T., I. Fukumori, C. K. Shum, and Y. Yi (2012), Merging tsunamis of the 2011 Tohoku-Oki earthquake detected over the open ocean, Geophys. Res. Lett., doi:10.1029/2011GL050767. 3. Song, Y. T. and S.C. Han (2011) Satellite observations defying the long-held tsunami genesis theory, D.L. Tang (ed.), Remote Sensing of the Changing Oceans, DOI 10.1007/978-3-642-16541-2, Springer-Verlag Berlin Heidelberg

  9. Detection of AIDS Virus in Macrophages in Brain Tissue from AIDS Patients with Encephalopathy

    NASA Astrophysics Data System (ADS)

    Koenig, Scott; Gendelman, Howard E.; Orenstein, Jan M.; Canto, Mauro C.; Pezeshkpour, Gholam H.; Yungbluth, Margaret; Janotta, Frank; Aksamit, Allen; Martin, Malcolm A.; Fauci, Anthony S.

    1986-09-01

    One of the common neurological complications in patients with the acquired immune deficiency syndrome (AIDS) is a subacute encephalopathy with progressive dementia. By using the techniques of cocultivation for virus isolation, in situ hybridization, immunocytochemistry, and transmission electron microscopy, the identity of an important cell type that supports replication of the AIDS retrovirus in brain tissue was determined in two affected individuals. These cells were mononucleated and multinucleated macrophages that actively synthesized viral RNA and produced progeny virions in the brains of the patients. Infected brain macrophages may serve as a reservoir for virus and as a vehicle for viral dissemination in the infected host.

  10. Screening and early detection of lung cancer.

    PubMed

    Van't Westeinde, Susan C; van Klaveren, Rob J

    2011-01-01

    Lung cancer with an estimated 342,000 deaths in 2008 (20% of total) is the most common cause of death from cancer, followed by colorectal cancer (12%), breast cancer (8%), and stomach cancer (7%) in Europe. In former smokers, the absolute lung cancer risk remains higher than in never-smokers; these data therefore call for effective secondary preventive measures for lung cancer in addition to smoking cessation programs. This review presents and discusses the most recent advances in the early detection and screening of lung cancer.An overview of randomized controlled computerized tomography-screening trials is given, and the role of bronchoscopy and new techniques is discussed. Finally, the approach of (noninvasive) biomarker testing in the blood, exhaled breath, sputum, and bronchoscopic specimen is reviewed.

  11. Prevention and early detection of cancer

    SciTech Connect

    Shanmugaratnam, K.

    1985-01-01

    The axiom that prevention is better than cure is especially true for a serious disease such as cancer for which therapy is expensive and seldom fully effective. However, it is only for some cancers that the major determinants are known and for which primary prevention programs are likely to result in substantial reduction in incidence. Past efforts at primary prevention have not been very successful where avoidance of cancer determinants involves changing pleasurable personal habits or has major economic effects. Control of the disease is now largely based on therapy. Because successful therapy is influenced by the stage of the disease at diagnosis there is increasing interest in early detection through the application of various screening techniques. Only some of these have been demonstrably effective in reducing cancer mortality. The introduction of any mass screening program should be based on an assessment of its costs, risks, and effectiveness in reducing mortality from the disease.

  12. Prostate cancer early detection, version 1.2014. Featured updates to the NCCN Guidelines.

    PubMed

    Carroll, Peter R; Parsons, J Kellogg; Andriole, Gerald; Bahnson, Robert R; Barocas, Daniel A; Catalona, William J; Dahl, Douglas M; Davis, John W; Epstein, Jonathan I; Etzioni, Ruth B; Giri, Veda N; Hemstreet, George P; Kawachi, Mark H; Lange, Paul H; Loughlin, Kevin R; Lowrance, William; Maroni, Paul; Mohler, James; Morgan, Todd M; Nadler, Robert B; Poch, Michael; Scales, Chuck; Shanefelt, Terrence M; Vickers, Andrew J; Wake, Robert; Shead, Dorothy A; Ho, Maria

    2014-09-01

    The NCCN Guidelines for Prostate Cancer Early Detection provide recommendations for men choosing to participate in an early detection program for prostate cancer. These NCCN Guidelines Insights highlight notable recent updates. Overall, the 2014 update represents a more streamlined and concise set of recommendations. The panel stratified the age ranges at which initiating testing for prostate cancer should be considered. Indications for biopsy include both a cutpoint and the use of multiple risk variables in combination. In addition to other biomarkers of specificity, the Prostate Health Index has been included to aid biopsy decisions in certain men, given recent FDA approvals.

  13. Barriers on Breast Cancer Early Detection Methods

    PubMed Central

    Aksoy, Yasemin Erkal; Turfan, Esin Çeber; Sert, Ebru; Mermer, Gülengül

    2015-01-01

    . Conclusion Barriers against implementation of breast cancer screening methods in women were related to level of education and lack of adequate information about breast cancer screening, and symptoms of breast cancer. Women’s lack of information about signs, symptoms and treatment in the early stages of breast cancer needs to be eliminated. Health care providers may have a key role in increasing breast cancer early detection rates.

  14. Shedding New Light on Early Caries Detection

    PubMed Central

    Choo-Smith, Lin-P'ing; Dong, Cecilia C.S.; Cleghorn, Blaine; Hewko, Mark

    2009-01-01

    Dental caries continues to be a common chronic disease among various population groups. Patient care can be improved with detection at the earliest stage. However, current techniques do not have sufficient sensitivity and specificity. We discuss 2 new methods — optical coherence tomography (OCT) and polarized Raman spectroscopy (PRS) — that are potentially useful for early caries detection and monitoring. OCT produces morphologic depth images of near-surface tissue structures with a resolution that is an order of magnitude greater than ultrasound imaging. Based on measurement of back-scattered near infrared light, OCT shows that sound enamel causes high-intensity back-scattering at the tooth surface that decreases rapidly with depth. In contrast, incipient lesions cause higher light back-scattering at the tooth surface and subsurface scattering indicative of porosity caused by demineralization. The scatter region within the enamel correlates well with the classical triangular shape of subsurface lesions observed in histologic sections. OCT imaging not only allows identification of incipient lesions, but also provides information on surface integrity and lesion depth. PRS furnishes biochemical information about the tooth's composition, mineral content and crystallinity. The depolarization ratio derived from the dominant phosphate peak of hydroxyapatite in sound teeth is consistently lower than that from incipient caries. This difference is attributed to the change in enamel crystallite morphology or orientation that occurs with acid demineralization. Thus, PRS can be used to confirm suspect lesions determined by OCT and rule out false-positive signals from non-carious anomalies. The combination of OCT and PRS provides a new detection method with high sensitivity and specificity that will improve caries management and patient care. Future studies are aimed at developing intraoral probes to validate the findings in vivo. PMID:19126361

  15. Computer aided detection and classification of acute lymphoblastic leukemia cell subtypes based on microscopic image analysis.

    PubMed

    MoradiAmin, Morteza; Memari, Ahmad; Samadzadehaghdam, Nasser; Kermani, Saeed; Talebi, Ardeshir

    2016-10-01

    Acute lymphoblastic leukemia (ALL) is a cancer that starts from the early version of white blood cells called lymphocytes in the bone marrow. It can spread to different parts of the body rapidly and if not treated, would probably be deadly within a couple of months. Leukemia cells are categorized into three types of L1, L2, and L3. The cancer is detected through screening of blood and bone marrow smears by pathologists. But manual examination of blood samples is a time-consuming and boring procedure as well as limited by human error risks. So to overcome these limitations a computer-aided detection system, capable of discriminating cancer from noncancer cases and identifying the cancerous cell subtypes, seems to be necessary. In this article an automatic detection method is proposed; first cell nucleus is segmented by fuzzy c-means clustering algorithm. Then a rich set of features including geometric, first- and second-order statistical features are obtained from the nucleus. A principal component analysis is used to reduce feature matrix dimensionality. Finally, an ensemble of SVM classifiers with different kernels and parameters is applied to classify cells into four groups, that is noncancerous, L1, L2, and L3. Results show that the proposed method can be used as an assistive diagnostic tool in laboratories.

  16. Fixed-point Design of the Lattice-reduction-aided Iterative Detection and Decoding Receiver for Coded MIMO Systems

    DTIC Science & Technology

    2011-01-01

    REPORT Fixed-point Design of theLattice-reduction-aided Iterative Detection andDecoding Receiver for Coded MIMO Systems 14. ABSTRACT 16. SECURITY...298 (Rev 8/98) Prescribed by ANSI Std. Z39.18 - Fixed-point Design of theLattice-reduction-aided Iterative Detection andDecoding Receiver for Coded ...important, this report illustrates the performance of coded LR aided detectors. 1 Fixed-point Design of the Lattice-reduction-aided Iterative Detection and

  17. Early detection of ovarian cancer: background, rationale, and structure of the Yale Early Detection Program.

    PubMed Central

    Schwartz, P. E.; Chambers, J. T.; Taylor, K. J.; Pellerito, J.; Hammers, L.; Cole, L. A.; Yang-Feng, T. L.; Smith, P.; Mayne, S. T.; Makuch, R.

    1991-01-01

    Ovarian cancer has received national attention as a highly virulent disease. Its lack of early warning symptoms and the failure to develop highly sensitive screening tests have led some physicians to recommend prophylactic oophorectomies to women with relatives who have had ovarian cancer. Others have recommended routine screening of otherwise normal women for CA 125, a circulating tumor marker, and ultrasound examinations. Each of these techniques is associated with substantial false-positive rates that could lead to unnecessary surgery. A review of epidemiologic data suggests that familial ovarian cancer kindreds are rare, but women with first-degree relatives who have had ovarian cancer have a significant risk themselves for developing ovarian cancer. In addition, women with a great number of ovulatory cycles are at an increased risk for the disease. Circulating tumor markers are frequently elevated in women with advanced ovarian cancer, but their value in early detection of ovarian cancer has yet to be established. Advances in endovaginal ultrasound and color Doppler flow technology have significantly improved our ability to assess pelvic organs. This article presents the background, rationale, and structure of the Yale Early Detection Program for ovarian cancer, whose goals are to identify the best techniques for diagnosing ovarian cancer in an early stage, to determine the frequency with which such tests should be employed, to assess false-positive results, and to identify women who might benefit from prophylactic oophorectomies. PMID:1810100

  18. Early detection and monitoring of Malaria

    NASA Astrophysics Data System (ADS)

    Rahman, Md Z.; Roytman, Leonid; Kadik, Abdelhamid; Miller, Howard; Rosy, Dilara A.

    2015-05-01

    Global Earth Observation Systems of Systems (GEOSS) are bringing vital societal benefits to people around the globe. In this research article, we engage undergraduate students in the exciting area of space exploration to improve the health of millions of people globally. The goal of the proposed research is to place students in a learning environment where they will develop their problem solving skills in the context of a world crisis (e.g., malaria). Malaria remains one of the greatest threats to public health, particularly in developing countries. The World Health Organization has estimated that over one million die of Malaria each year, with more than 80% of these found in Sub-Saharan Africa. The mosquitoes transmit malaria. They breed in the areas of shallow surface water that are suitable to the mosquito and parasite development. These environmental factors can be detected with satellite imagery, which provide high spatial and temporal coverage of the earth's surface. We investigate on moisture, thermal and vegetation stress indicators developed from NOAA operational environmental satellite data. Using these indicators and collected epidemiological data, it is possible to produce a forecast system that can predict the risk of malaria for a particular geographical area with up to four months lead time. This valuable lead time information provides an opportunity for decision makers to deploy the necessary preventive measures (spraying, treated net distribution, storing medications and etc) in threatened areas with maximum effectiveness. The main objective of the proposed research is to study the effect of ecology on human health and application of NOAA satellite data for early detection of malaria.

  19. HIV infection late detection in AIDS patients of an European city with increased immigration since mid 1990s.

    PubMed

    Carnicer-Pont, Dolors; de Olalla, Patricia G; Caylă, Joan A

    2009-03-01

    The study goal is to identify predictors of HIV infection late detection in an European city with increased immigration, and determine the effects of HAART era in HIV infection detection. We used Barcelona city AIDS registry (1987-2006). Late testers were those diagnosed of AIDS defining illness within less than 3 months from time of testing positive for HIV infection. Independent variables were: date of birth, sex, country of origin, HIV transmission category, prison history, city district of residence, AIDS diagnostic disease and HAART era when diagnosed. The statistical methods were based on logistic regression (Odds Ratio, OR and 95% confidence interval, CI). Among the 6186 AIDS patients, 43.9% (n=2741) were late testers. Being a male (OR: 1.57, 95% CI: 1.35-1.83), either < 30 years (OR: 1.21, 95% CI: 1.06-1.38) or > 40 years (OR: 1.20, 95% CI: 1.03-1.40), with heterosexual (OR: 3.07, 95% CI: 2.59-3.63) routes of transmission or men who have sex with men (OR: 2.20, 95% CI: 1.89-2.57) and with Pneumocystis jiroveci pneumoniae (OR: 1.71, 95% CI: 1.47-2.00) or tuberculosis (OR: 1.57, 95% CI: 1.36-1.82) were all independent risk factors for being a late tester. Conversely, injecting drug use (IDU) was associated with early detection (OR: 0.36, 95% CI: 0.33-0.40). Being migrant was associated with late testing only in the univariate analysis. Individuals with the detected factors (male, having any sexual risk behaviour and being > 50 years) should be in the main focus for HIV testing to further ensure continuous decrease in the slope of late detected HIV infections overall.

  20. Early Forest Fire Detection Using Radio-Acoustic Sounding System

    PubMed Central

    Sahin, Yasar Guneri; Ince, Turker

    2009-01-01

    Automated early fire detection systems have recently received a significant amount of attention due to their importance in protecting the global environment. Some emergent technologies such as ground-based, satellite-based remote sensing and distributed sensor networks systems have been used to detect forest fires in the early stages. In this study, a radio-acoustic sounding system with fine space and time resolution capabilities for continuous monitoring and early detection of forest fires is proposed. Simulations show that remote thermal mapping of a particular forest region by the proposed system could be a potential solution to the problem of early detection of forest fires. PMID:22573967

  1. Clinical application of a novel computer-aided detection system based on three-dimensional CT images on pulmonary nodule.

    PubMed

    Zeng, Jian-Ye; Ye, Hai-Hong; Yang, Shi-Xiong; Jin, Ren-Chao; Huang, Qi-Liang; Wei, Yong-Chu; Huang, Si-Guang; Wang, Bin-Qiang; Ye, Jia-Zhou; Qin, Jian-Ying

    2015-01-01

    The aim of this study was to investigate the clinical application effects of a novel computer-aided detection (CAD) system based on three-dimensional computed tomography (CT) images on pulmonary nodule. 98 cases with pulmonary nodule (PN) in our hospital from Jun, 2009 to Jun, 2013 were analysed in this study. All cases underwent PN detection both by the simple spiral CT scan and by the computer-aided system based on 3D CT images, respectively. Postoperative pathological results were considered as the "gold standard", for both two checking methods, the diagnostic accuracies for determining benign and malignant PN were calculated. Under simple spiral CT scan method, 63 cases is malignant, including 50 true positive cases and 13 false positive cases from the "gold standard"; 35 cases is benign, 16 true negative case and 19 false negative cases, the Sensitivity 1 (Se1)=0.725, Specificity1 (Sp1)=0.448, Agreement rate1 (Kappa 1)=0.673, J1 (Youden's index 1)=0.173, LR(+)1=1.616, LR(-)1=0.499. Kappa 1=0.673 between the 0.4 and 0.75, has a moderate consistency. Underwent computer-aided detection (CAD) based on 3D CT method, 67cases is malignant, including 62 true positive cases and 7 false positive cases; 31 cases is benign, 24 true negative case and 7 false negative cases, Sensitivity 2 (Se2)=0.899, Specificity2 (Sp2)=0.828, Agreement rate (Kappa 2)=0.877, J2 (Youden's index 2)=0.727, LR(+)2=5.212, LR(-)2=0.123. Kappa 2=0.877 >0.75, has a good consistency. Computer-aided PN detecting system based on 3D CT images has better clinical application value, and can help doctor carry out early diagnosis of lung disease (such as cancer, etc.) through CT images.

  2. Computer aided detection of transient inflation events at Alaskan volcanoes using GPS measurements from 2005-2015

    NASA Astrophysics Data System (ADS)

    Li, Justin D.; Rude, Cody M.; Blair, David M.; Gowanlock, Michael G.; Herring, Thomas A.; Pankratius, Victor

    2016-11-01

    Analysis of transient deformation events in time series data observed via networks of continuous Global Positioning System (GPS) ground stations provide insight into the magmatic and tectonic processes that drive volcanic activity. Typical analyses of spatial positions originating from each station require careful tuning of algorithmic parameters and selection of time and spatial regions of interest to observe possible transient events. This iterative, manual process is tedious when attempting to make new discoveries and does not easily scale with the number of stations. Addressing this challenge, we introduce a novel approach based on a computer-aided discovery system that facilitates the discovery of such potential transient events. The advantages of this approach are demonstrated by actual detections of transient deformation events at volcanoes selected from the Alaska Volcano Observatory database using data recorded by GPS stations from the Plate Boundary Observatory network. Our technique successfully reproduces the analysis of a transient signal detected in the first half of 2008 at Akutan volcano and is also directly applicable to 3 additional volcanoes in Alaska, with the new detection of 2 previously unnoticed inflation events: in early 2011 at Westdahl and in early 2013 at Shishaldin. This study also discusses the benefits of our computer-aided discovery approach for volcanology in general. Advantages include the rapid analysis on multi-scale resolutions of transient deformation events at a large number of sites of interest and the capability to enhance reusability and reproducibility in volcano studies.

  3. Detecting Early Signatures of Persuasion in Information Cascades

    DTIC Science & Technology

    2014-01-01

    ADDRESS. Indiana University at Bloomington Trustees of Indiana University 509 E 3RD ST Bloomington, IN 47401 -3654 Detecting Early Signatures of Persuasion ...SMISC  Project:   DESPIC:  Detecting  Early  Signatures  of   Persuasion  in  Information  Cascades     Teams:   Indiana

  4. Early detection of non-native fishes using fish larvae

    EPA Science Inventory

    Our objective was to evaluate the use of fish larvae for early detection of non-native fishes, comparing traditional and molecular taxonomy approaches to investigate potential efficiencies. Fish larvae present an interesting opportunity for non-native fish early detection. First,...

  5. Computer aided detection of oral lesions on CT images

    NASA Astrophysics Data System (ADS)

    Galib, S.; Islam, F.; Abir, M.; Lee, H. K.

    2015-12-01

    Oral lesions are important findings on computed tomography (CT) images. In this study, a fully automatic method to detect oral lesions in mandibular region from dental CT images is proposed. Two methods were developed to recognize two types of lesions namely (1) Close border (CB) lesions and (2) Open border (OB) lesions, which cover most of the lesion types that can be found on CT images. For the detection of CB lesions, fifteen features were extracted from each initial lesion candidates and multi layer perceptron (MLP) neural network was used to classify suspicious regions. Moreover, OB lesions were detected using a rule based image processing method, where no feature extraction or classification algorithm were used. The results were validated using a CT dataset of 52 patients, where 22 patients had abnormalities and 30 patients were normal. Using non-training dataset, CB detection algorithm yielded 71% sensitivity with 0.31 false positives per patient. Furthermore, OB detection algorithm achieved 100% sensitivity with 0.13 false positives per patient. Results suggest that, the proposed framework, which consists of two methods, has the potential to be used in clinical context, and assist radiologists for better diagnosis.

  6. Novel Serum Inflammatory Biomarkers for Early Detection of Breast Cancer

    DTIC Science & Technology

    2008-06-01

    Early Detection of Breast Cancer PRINCIPAL INVESTIGATOR: Thomas R. Brown, Ph.D. CONTRACTING ORGANIZATION: Oxford Biomedical...Biomarkers for Early Detection of Breast Cancer 5b. GRANT NUMBER W81XWH-06-1-0711 5c. PROGRAM ELEMENT NUMBER 6. AUTHOR(S) Thomas R. Brown, Ph.D. 5d... cancer however, their study as a source of cancer biomarkers is still at a relatively early stage. Identifying these biomarkers in serum presents a

  7. Temporal integration in vision: masking can aid detection.

    PubMed

    Swift, Dan J

    2013-04-01

    Temporal form-part integration is the process whereby two discrete sets of stimuli, presented at different times, are perceived by the visual system as a single integrated percept. Dixon and Di Lollo (Cognitive Psychology 26(1):33-63, 1994) proposed a temporal correlation model that was able to quantitatively account for a number of findings related to both form-part integration tasks and partial report. The present study demonstrates a novel approach to form-part integration--the addition of a whole-field mask stimulus at the termination of the second set of stimuli. According to an extension of the correlation model, the mask stimulus should reduce the visual system's response to the trailing display, thus increasing the relative overlap of the two displays, fostering integration. Experiment 1 supported this hypothesis, showing a maximum benefit when the mask followed the trailing display immediately, as opposed to after a delay of 60 ms. Experiment 2 showed that this same mask actually did yield worse performance when presented immediately after a single set of stimuli. The third experiment collected detailed data for a few observers over a larger number of mask delays. Taken together, these experiments provide a rare example of masking degrading a target stimulus, and yet aiding perception.

  8. Landsat change detection can aid in water quality monitoring

    NASA Technical Reports Server (NTRS)

    Macdonald, H. C.; Steele, K. F.; Waite, W. P.; Shinn, M. R.

    1977-01-01

    Comparison between Landsat-1 and -2 imagery of Arkansas provided evidence of significant land use changes during the 1972-75 time period. Analysis of Arkansas historical water quality information has shown conclusively that whereas point source pollution generally can be detected by use of water quality data collected by state and federal agencies, sampling methodologies for nonpoint source contamination attributable to surface runoff are totally inadequate. The expensive undertaking of monitoring all nonpoint sources for numerous watersheds can be lessened by implementing Landsat change detection analyses.

  9. Defect Detection in Composite Coatings by Computational Simulation Aided Thermography

    NASA Astrophysics Data System (ADS)

    Almeida, R. M.; Souza, M. P. V.; Rebello, J. M. A.

    2010-02-01

    Thermography is based on the measurement of superficial temperature distribution of an object inspected subjected to tension, normally thermal heat. This measurement is performed with a thermographic camera that detects the infrared radiation emitted by every object. In this work thermograph was simulated by COMSOL software for optimize experimental parameters in composite material coatings inspection.

  10. "Patient Zero": the absence of a patient's view of the early North American AIDS epidemic.

    PubMed

    McKay, Richard A

    2014-01-01

    This article contextualizes the production and reception of And the Band Played On, Randy Shilts's popular history of the initial recognition of the American AIDS epidemic. Published over twenty-five years ago, the book and its most notorious character, "Patient Zero," are in particular need of a critical historical treatment. The article presents a more balanced consideration-a "patient's view"-of Gaétan Dugas's experience of the early years of AIDS. I oppose the assertion that Dugas, the so-called Patient Zero, ignored incontrovertible information about the condition and was intent on spreading his infection. Instead I argue that scientific ideas in 1982 and 1983 about AIDS and the transmissibility of a causative agent were later portrayed to be more self-evident than they were at the time. The article also traces how Shilts's highly selective-and highly readable-characterization of Dugas rapidly became embedded in discussions about the need to criminalize the reckless transmission of HIV.

  11. Computer Aided Detection (CAD) Systems for Mammography and the Use of GRID in Medicine

    NASA Astrophysics Data System (ADS)

    Lauria, Adele

    It is well known that the most effective way to defeat breast cancer is early detection, as surgery and medical therapies are more efficient when the disease is diagnosed at an early stage. The principal diagnostic technique for breast cancer detection is X-ray mammography. Screening programs have been introduced in many European countries to invite women to have periodic radiological breast examinations. In such screenings, radiologists are often required to examine large numbers of mammograms with a double reading, that is, two radiologists examine the images independently and then compare their results. In this way an increment in sensitivity (the rate of correctly identified images with a lesion) of up to 15% is obtained.1,2 In most radiological centres, it is a rarity to find two radiologists to examine each report. In recent years different Computer Aided Detection (CAD) systems have been developed as a support to radiologists working in mammography: one may hope that the "second opinion" provided by CAD might represent a lower cost alternative to improve the diagnosis. At present, four CAD systems have obtained the FDA approval in the USA. † Studies3,4 show an increment in sensitivity when CAD systems are used. Freer and Ulissey in 2001 5 demonstrated that the use of a commercial CAD system (ImageChecker M1000, R2 Technology) increases the number of cancers detected up to 19.5% with little increment in recall rate. Ciatto et al.,5 in a study simulating a double reading with a commercial CAD system (SecondLook‡), showed a moderate increment in sensitivity while reducing specificity (the rate of correctly identified images without a lesion). Notwithstanding these optimistic results, there is an ongoing debate to define the advantages of the use of CAD as second reader: the main limits underlined, e.g., by Nishikawa6 are that retrospective studies are considered much too optimistic and that clinical studies must be performed to demonstrate a statistically

  12. Call for a Computer-Aided Cancer Detection and Classification Research Initiative in Oman.

    PubMed

    Mirzal, Andri; Chaudhry, Shafique Ahmad

    2016-01-01

    Cancer is a major health problem in Oman. It is reported that cancer incidence in Oman is the second highest after Saudi Arabia among Gulf Cooperation Council countries. Based on GLOBOCAN estimates, Oman is predicted to face an almost two-fold increase in cancer incidence in the period 2008-2020. However, cancer research in Oman is still in its infancy. This is due to the fact that medical institutions and infrastructure that play central roles in data collection and analysis are relatively new developments in Oman. We believe the country requires an organized plan and efforts to promote local cancer research. In this paper, we discuss current research progress in cancer diagnosis using machine learning techniques to optimize computer aided cancer detection and classification (CAD). We specifically discuss CAD using two major medical data, i.e., medical imaging and microarray gene expression profiling, because medical imaging like mammography, MRI, and PET have been widely used in Oman for assisting radiologists in early cancer diagnosis and microarray data have been proven to be a reliable source for differential diagnosis. We also discuss future cancer research directions and benefits to Oman economy for entering the cancer research and treatment business as it is a multi-billion dollar industry worldwide.

  13. Effects of Response Bias and Judgment Framing on Operator Use of an Automated Aid in a Target Detection Task

    ERIC Educational Resources Information Center

    Rice, Stephen; McCarley, Jason S.

    2011-01-01

    Automated diagnostic aids prone to false alarms often produce poorer human performance in signal detection tasks than equally reliable miss-prone aids. However, it is not yet clear whether this is attributable to differences in the perceptual salience of the automated aids' misses and false alarms or is the result of inherent differences in…

  14. A novel computer-aided detection system for pulmonary nodule identification in CT images

    NASA Astrophysics Data System (ADS)

    Han, Hao; Li, Lihong; Wang, Huafeng; Zhang, Hao; Moore, William; Liang, Zhengrong

    2014-03-01

    Computer-aided detection (CADe) of pulmonary nodules from computer tomography (CT) scans is critical for assisting radiologists to identify lung lesions at an early stage. In this paper, we propose a novel approach for CADe of lung nodules using a two-stage vector quantization (VQ) scheme. The first-stage VQ aims to extract lung from the chest volume, while the second-stage VQ is designed to extract initial nodule candidates (INCs) within the lung volume. Then rule-based expert filtering is employed to prune obvious FPs from INCs, and the commonly-used support vector machine (SVM) classifier is adopted to further reduce the FPs. The proposed system was validated on 100 CT scans randomly selected from the 262 scans that have at least one juxta-pleural nodule annotation in the publicly available database - Lung Image Database Consortium and Image Database Resource Initiative (LIDC-IDRI). The two-stage VQ only missed 2 out of the 207 nodules at agreement level 1, and the INCs detection for each scan took about 30 seconds in average. Expert filtering reduced FPs more than 18 times, while maintaining a sensitivity of 93.24%. As it is trivial to distinguish INCs attached to pleural wall versus not on wall, we investigated the feasibility of training different SVM classifiers to further reduce FPs from these two kinds of INCs. Experiment results indicated that SVM classification over the entire set of INCs was in favor of, where the optimal operating of our CADe system achieved a sensitivity of 89.4% at a specificity of 86.8%.

  15. Early detection of sporadic pancreatic cancer: summative review.

    PubMed

    Chari, Suresh T; Kelly, Kimberly; Hollingsworth, Michael A; Thayer, Sarah P; Ahlquist, David A; Andersen, Dana K; Batra, Surinder K; Brentnall, Teresa A; Canto, Marcia; Cleeter, Deborah F; Firpo, Matthew A; Gambhir, Sanjiv Sam; Go, Vay Liang W; Hines, O Joe; Kenner, Barbara J; Klimstra, David S; Lerch, Markus M; Levy, Michael J; Maitra, Anirban; Mulvihill, Sean J; Petersen, Gloria M; Rhim, Andrew D; Simeone, Diane M; Srivastava, Sudhir; Tanaka, Masao; Vinik, Aaron I; Wong, David

    2015-07-01

    Pancreatic cancer (PC) is estimated to become the second leading cause of cancer death in the United States by 2020. Early detection is the key to improving survival in PC. Addressing this urgent need, the Kenner Family Research Fund conducted the inaugural Early Detection of Sporadic Pancreatic Cancer Summit Conference in 2014 in conjunction with the 45th Anniversary Meeting of the American Pancreatic Association and Japan Pancreas Society. This seminal convening of international representatives from science, practice, and clinical research was designed to facilitate challenging interdisciplinary conversations to generate innovative ideas leading to the creation of a defined collaborative strategic pathway for the future of the field. An in-depth summary of current efforts in the field, analysis of gaps in specific areas of expertise, and challenges that exist in early detection is presented within distinct areas of inquiry: Case for Early Detection: Definitions, Detection, Survival, and Challenges; Biomarkers for Early Detection; Imaging; and Collaborative Studies. In addition, an overview of efforts in familial PC is presented in an addendum to this article. It is clear from the summit deliberations that only strategically designed collaboration among investigators, institutions, and funders will lead to significant progress in early detection of sporadic PC.

  16. Computer-Aided Detection of Prostate Cancer on Tissue Sections

    PubMed Central

    Peng, Yahui; Jiang, Yulei; Chuang, Shang-Tian; Yang, Ximing J.

    2009-01-01

    We report an automated computer technique for detection of prostate cancer in prostate tissue sections processed with immunohistochemistry. Two sets of color optical images were acquired from prostate tissue sections stained with a double-chromogen triple-antibody cocktail combining alpha-methylacyl-CoA racemase (AMACR), p63, and high-molecular-weight cytokeratin (HMWCK). The first set of images consisted of 20 training images (10 malignant) used for developing the computer technique and 15 test images (7 malignant) used for testing and optimizing the technique. The second set of images consisted of 299 images (114 malignant) used for evaluation of the performance of the computer technique. The computer technique identified image segments of AMACR-labeled malignant epithelial cells (red), p63-and HMWCK-labeled benign basal cells (brown), and secretory and stromal cells (blue) for identifying prostate cancer automatically. The sensitivity and specificity of the computer technique were 94% (16/17) and 94% (17/18), respectively, on the first (training and test) set of images, and 88% (79/90) and 97% (136/140), respectively, on the second (validation) set of images. If high-grade prostatic intraepithelial neoplasia (HGPIN), which is a precursor of cancer, and atypical cases were included, the sensitivity and specificity were 85% (97/114) and 89% (165/185), respectively. These results show that the novel automated computer technique can accurately identify prostatic adenocarcinoma in the triple-antibody cocktail-stained prostate sections. PMID:19417626

  17. Innovative design for early detection of invasive species

    EPA Science Inventory

    Non-native aquatic species impose significant ecological impacts and rising financial costs in marine and freshwater ecosystems worldwide. Early detection of invasive species, as they enter a vulnerable ecosystem, is critical to successful containment and eradication. ORD, at t...

  18. The research on and application of detecting technology in car intelligent video-aided driving system

    NASA Astrophysics Data System (ADS)

    Chen, Yuelin; Sun, Liangbo; Lu, Chong

    2011-08-01

    Analyze the advantages and disadvantages and applying condition of the existing object detecting algorithm, aims to body's variation and real-time and dynamic, combing with Histogram of Gradient statistic method, classify organ of level-connect mechanism and leaning algorithm based on Adaboost of face-detecting Boosted Cascad algorithm, to realize the object detect in car aided driving system. References the sift algorithm rationale and algorithm tracing steability to match and trace the object by characteristic in local area, eliminate the unuse information, simple the search area and speed the tracing. By practical video testing, this method does well in passengers and cars real-time detecting and tracing.

  19. Early detection of CLas infections in citrus

    Technology Transfer Automated Retrieval System (TEKTRAN)

    “Early” detection of CLas infection is essential to minimize the risk of Huanglongbing (HLB) epidemics in areas where the pathogen has been recently introduced. Any delay in confirmation of CLas infection results in delays of regulatory and management actions, and increased spread of the pathogen ev...

  20. Multisensor configurations for early sniper detection

    NASA Astrophysics Data System (ADS)

    Lindgren, D.; Bank, D.; Carlsson, L.; Dulski, R.; Duval, Y.; Fournier, G.; Grasser, R.; Habberstad, H.; Jacquelard, C.; Kastek, M.; Otterlei, R.; Piau, G.-P.; Pierre, F.; Renhorn, I.; Sjöqvist, L.; Steinvall, O.; Trzaskawka, P.

    2011-11-01

    This contribution reports some of the fusion results from the EDA SNIPOD project, where different multisensor configurations for sniper detection and localization have been studied. A project aim has been to cover the whole time line from sniper transport and establishment to shot. To do so, different optical sensors with and without laser illumination have been tested, as well as acoustic arrays and solid state projectile radar. A sensor fusion node collects detections and background statistics from all sensors and employs hypothesis testing and multisensor estimation programs to produce unified and reliable sniper alarms and accurate sniper localizations. Operator interfaces that connect to the fusion node should be able to support both sniper countermeasures and the guidance of personnel to safety. Although the integrated platform has not been actually built, sensors have been evaluated at common field trials with military ammunitions in the caliber range 5.56 to 12.7 mm, and at sniper distances up to 900 m. It is concluded that integrating complementary sensors for pre- and postshot sniper detection in a common system with automatic detection and fusion will give superior performance, compared to stand alone sensors. A practical system is most likely designed with a cost effective subset of available complementary sensors.

  1. Preventing neonaticide by early detection and intervention in student pregnancy. .

    PubMed

    Platt, Lois M

    2014-11-01

    Pregnant students are the population group most likely to commit neonaticide, murder of an infant younger than 24 hours old. Denial by the student, lack of early pregnancy detection, and poor social support contribute to this disorder. As the health care professionals with whom the student has the most contact, school nurses are in an excellent position to prevent neonaticide through provision of health education, early detection of pregnancy, and intervention with students and their families to assist them in making healthy choices.

  2. Detection of Early Lung Cancer Among Military Personnel (DECAMP)

    DTIC Science & Technology

    2013-10-01

    AD_________________ Award Number: W81XWH-11-2-0161 TITLE: Detection of Early lung Cancer Among...September 2012-29 September 2013 4. TITLE AND SUBTITLE 5a. CONTRACT NUMBER W81XWH-11-2-0161 Detection of Early lung Cancer Among Military Personnel... lung cancer in Military Treatment Facilities and Veteran’s Administration Hospitals. Over the course of the second year of this award, we have

  3. Early Detection Research Network (EDRN) | Division of Cancer Prevention

    Cancer.gov

    http://edrn.nci.nih.gov/EDRN is a collaborative network that maintains comprehensive infrastructure and resources critical to the discovery, development and validation of biomarkers for cancer risk and early detection. The program comprises a public/private sector consortium to accelerate the development of biomarkers that will change medical practice, ensure data reproducibility, and adapt to the changing landscape of biomarker science. | Comprehensive infrastructure and resources critical to discovery, development and validation of biomarkers for cancer risk and early detection.

  4. Early detection of age related macular degeneration: current status.

    PubMed

    Schwartz, Roy; Loewenstein, Anat

    2015-01-01

    Early diagnosis and treatment of choroidal neovascularization (CNV), a main cause of severe vision loss in age related macular degeneration (AMD), is crucial in order to preserve vision and the quality of life of patients. This review summarizes current literature on the subject of early detection of CNV, both in the clinic setting and mainly in the patient's home. New technologies are evolving to allow for earlier detection and thus vision preservation in AMD patients.

  5. Stationary Digital Tomosynthesis System for Early Detection of Breast Tumors

    DTIC Science & Technology

    2012-05-01

    Breast cancer is the most common type of cancer occurring in women...Early detection is considered as the best hope for decreasing the mortality rate from breast cancer [1-4]. Digital breast tomosynthesis (DBT) has the...potential to improve the effectiveness of early breast cancer screening at a similar dose and comparable cost as the full-field digital

  6. Biomarkers for Early Detection of Alzheimer Pathology

    PubMed Central

    Clark, C.M.; Davatzikos, C.; Borthakur, A.; Newberg, A.; Leight, S.; Lee, V.M.-Y.; Trojanowski, J.Q.

    2010-01-01

    The increasing prevalence of Alzheimer’s disease and the devastating consequences of late-life dementia motivates the drive to develop diagnostic biomarkers to reliably identify the pathology associated with this disorder. Strategies to accomplish this include the detection of altered levels of tau and amyloid in cerebrospinal fluid, the use of structural MRI to identify disease-specific patterns of regional atrophy and MRI T1ρ to detect disease-related macromolecular protein aggregation, and the direct imaging of amyloid deposits using positron emission tomography and single photon emission computerized tomography. Success will facilitate the ability to reliably diagnose Alzheimer’s disease while the symptoms of brain failure are mild and may provide objective measures of disease-modifying treatment efficacy. PMID:18097155

  7. Tsunamis: Monitoring, Detection, and Early Warning Systems

    DTIC Science & Technology

    2005-06-01

    expand from six existing deepwater tsunami detection buoys to a total of 32 for the Pacific and Atlantic Oceans, Gulf of Mexico , and Caribbean Sea by...rapid U.S. response to upgrade existing capacity for warning in the Pacific, and expand this capacity to the Atlantic, Gulf of Mexico , and Caribbean Sea...Senator Inouye’s bill is closely aligned with the Administration’s proposal, released on January 14, 2005, but also addresses social issues such as

  8. Radiation detection and wireless networked early warning

    NASA Astrophysics Data System (ADS)

    Burns, David A.; Litz, Marc S.; Carroll, James J.; Katsis, Dimosthenis

    2012-06-01

    We have designed a compact, wireless, GPS-enabled array of inexpensive radiation sensors based on scintillation counting. Each sensor has a scintillator, photomultiplier tube, and pulse-counting circuit that includes a comparator, digital potentiometer and microcontroller. This design provides a high level of sensitivity and reliability. A 0.2 m2 PV panel powers each sensor providing a maintenance-free 24/7 energy source. The sensor can be mounted within a roadway light-post and monitor radiological activity along transport routes. Each sensor wirelessly transmits real-time data (as counts per second) up to 2 miles with a XBee radio module, and the data is received by a XBee receive-module on a computer. Data collection software logs the information from all sensors and provides real-time identification of radiation events. Measurements performed to-date demonstrate the ability of a sensor to detect a 20 μCi source at 3.5 meters when packaged with a PVT (plastic) scintillator, and 7 meters for a sensor with a CsI crystal (more expensive but ~5 times more sensitive). It is calculated that the sensor-architecture can detect sources moving as fast as 130 km/h based on the current data rate and statistical bounds of 3-sigma threshold detection. The sensor array is suitable for identifying and tracking a radiation threat from a dirty bomb along roadways.

  9. Early detection of allergic diseases in otorhinolaryngology

    PubMed Central

    Klimek, Ludger; Schendzielorz, Philip

    2010-01-01

    Asthmatic diseases have been reported since the ancient world. Hay fever for instance, was described for the first time in the late 18th century, and the term “allergy” was introduced about 100 years ago. Today the incidence of allergies is rising; almost one third of the Western population suffers from its side effects. Allergies are some of the most chronic medical complaints, which results in high health expenditures. Therefore, they have a large health and political relevance. Caused by genetic and environmental factors, the group of IgE mediated allergies is large. It consists of e.g. atopic dermatitis, allergic asthma or allergic rhinitis. This paper aims to emphasize the ways of early diagnosis of allergic rhinitis (AR) as AR represents the most important representative of allergic diseases in ENT. PMID:22073091

  10. Idiopathic pulmonary fibrosis: Early detection and referral

    PubMed Central

    Oldham, Justin M.; Noth, Imre

    2016-01-01

    Summary Idiopathic pulmonary fibrosis (IPF), a devastating progressive interstitial lung disease (ILD) with no known cause or cure, is the most common and deadly of the idiopathic interstitial pneumonias. With a median survival of 3–5 years following diagnosis, IPF is characterized by a progressive decline in lung function and quality of life in most patients. Vigilance among clinicians in recognizing IPF early in the disease course remains critical to properly caring for these patients, as this provides the widest range of management options. When IPF is suspected, a multidisciplinary evaluation (MDE) by a clinician, radiologist and pathologist with ILD expertise should occur, as this improves diagnostic agreement in both community and academic settings. When community MDE is not possible, or diagnostic doubt exists, referral to an ILD center should be considered. ILD center referral may also provide access specialized care, including clinical trials and lung transplantation, and should be considered for any patient with an established diagnosis of IPF. PMID:24746629

  11. Advances in Optical Adjunctive Aids for Visualisation and Detection of Oral Malignant and Potentially Malignant Lesions

    PubMed Central

    Bhatia, Nirav; Lalla, Yastira; Vu, An N.; Farah, Camile S.

    2013-01-01

    Traditional methods of screening for oral potentially malignant disorders and oral malignancies involve a conventional oral examination with digital palpation. Evidence indicates that conventional examination is a poor discriminator of oral mucosal lesions. A number of optical aids have been developed to assist the clinician to detect oral mucosal abnormalities and to differentiate benign lesions from sinister pathology. This paper discusses advances in optical technologies designed for the detection of oral mucosal abnormalities. The literature regarding such devices, VELscope and Identafi, is critically analysed, and the novel use of Narrow Band Imaging within the oral cavity is also discussed. Optical aids are effective in assisting with the detection of oral mucosal abnormalities; however, further research is required to evaluate the usefulness of these devices in differentiating benign lesions from potentially malignant and malignant lesions. PMID:24078812

  12. Early detection of dental caries using photoacoustics

    NASA Astrophysics Data System (ADS)

    Kim, K.; Witte, R.; Koh, I.; Ashkenazi, S.; O'Donnell, M.

    2006-02-01

    For decades, visual, tactile and radiographic examinations have been the standard for diagnosing caries. Nonetheless, the extent of variation in the diagnosis of dental caries is substantial among dental practitioners using these traditional techniques. Therefore, a more reliable standard for detecting incipient caries would be desirable. Using photoacoustics, near-infrared (NIR) optical contrast between sound and carious dental tissues can be relatively easily and accurately detected at ultrasound resolution. In this paper, a pulsed laser (Nd:YAG, Quanta-Ray) was used to probe extracted human molars at different disease stages determined from periapical radiographs. Both fundamental (1064nm) and first harmonic (532nm) pulses (15ns pulse length, 100mJ at fundamental and 9mJ at first harmonic , 10Hz pulse repetition rate) were used to illuminate the occlusal surface of tooth samples placed in a water tank. The photoacoustic signal was recorded with an unfocused wideband single-element piezoelectric transducer (centered at 12 MHz, bandwidth 15 MHz) positioned at small angle (less than 30 degrees) to the laser beam close to the occlusal surface. At the fundamental wavelength, total photoacoustic energy increases from normal to incipient stage disease by as much as a factor of 10. Differences between photoacoustic energy at the fundamental and first harmonic wavelength further indicate spectral absorption changes of the underlying structure with disease progression. Using a focused laser beam, an extracted molar with suspected incipient caries was scanned along the occulusal surface to help localize the caries inside enamel and dentin. The significantly increasing photoacoustic signal at a specific scan line both at fundamental and first harmonic indicates the local development of the incipient caries. The photoacoustic results compare well with visual inspection after layer by layer dissection. Preliminary results demonstrate the feasibility of detecting incipient

  13. Early detection of ovarian cancer: preliminary results of the Yale Early Detection Program.

    PubMed Central

    Schwartz, P. E.; Chambers, J. T.; Taylor, K. J.; Pellerito, J.; Hammers, L.; Cole, L. A.; Yang-Feng, T. L.; Smith, P.; Mayne, S. T.; Makuch, R.

    1991-01-01

    Eighty-four women at high risk for ovarian cancer by having first-degree relatives with epithelial ovarian cancer participated in a newly established, early ovarian cancer detection program at Yale University. Participants were to be evaluated with physical examinations and circulating tumor markers at entry and every six months thereafter. Endovaginal ultrasound and color Doppler flow studies were to be performed at three and nine months following entry into the program. In addition, women were encouraged to follow American Cancer Society guidelines for mammography. Stool was checked for occult blood. Endometrial sampling was offered to post-menopausal women. No participant has developed an ovarian cancer since entering the program. One woman has been diagnosed to have breast cancer. False-positive levels of circulating tumor markers (CA 125, 4/84 [4.8 percent]; lipid-associated sialic acid in plasma, 13/84 [15.5 percent]; NB/70K, 4/84 [4.8 percent]; and urinary gonadotropin fragment, 1/65 [1.5 percent]) were observed on entry into the program. Low resistive indices (less than 0.5) were documented in 8/91 (8.8 percent) ovaries studied by the color Doppler flow technique. One participant underwent a laparotomy based on a false-positive endovaginal ultrasound examination. Tests now being employed in community practice have a high likelihood of being associated with false-positive results. Therapeutic interventions based on isolated abnormal tumor markers or ultrasound studies obtained from women with family histories of ovarian cancer may lead to inappropriate surgery. It is necessary for cancer centers to develop expertise in ovarian cancer detection techniques to advise physicians in their geographic areas appropriately about the significance of the abnormal screening test. PMID:1810101

  14. EARLY DETECTION AND PROGRAMING FOR CHILDREN WITH SCHOOL ADJUSTMENT PROBLEMS.

    ERIC Educational Resources Information Center

    MCGAHAN, F.E.

    THE GALENA PARK SPECIAL PROGRAM IS AN EFFORT ON THE PART OF THE SCHOOL ADMINISTRATION TO DETECT, AT THE EARLIEST TIME, ANY STUDENT PROBLEM WHICH MAY LEAD TO DIFFICULTIES IN SCHOOL ADJUSTMENT. ALL PHASES OF PUPIL PERSONNEL SERVICES ARE PLACED UNDER ONE COORDINATOR TO EXPEDITE SERVICES TO THE CHILD IN DIFFICULTY. EARLY DETECTION OF POTENTIAL PROBLEM…

  15. The importance of early detection of endotoxemia.

    PubMed

    Adamik, Barbara; Smiechowicz, Jakub; Kübler, Andrzej

    2016-10-01

    Endotoxin is considered a key signaling molecule in the pathogenesis of sepsis and septic shock. Anti-endotoxin therapies may result in the improvement of a patient's clinical condition and lower mortality. The pressing clinical challenge is to identify patients for whom endotoxin elimination would be the most beneficial. An endotoxin activity assay (EAA) has been available for detection of endotoxins, allowing selection of patients at high risk of endotoxemia in intensive care units (ICUs). We studied a cohort of 172 consecutive patients who had septic shock on admission to the ICU. Endotoxin activity (EA) was measured with a rapid chemiluminescent EAA, regarded as point-of-care testing. Endotoxemia with a mean EA of 0.59 ± 0.14 EAU was present in 104 patients (60%) and absent in 68 patients (EA = 0.25 ± 0.11 EAU). The risk of endotoxemia increased with the presence of a Gram-negative infection [odds ratio (OR) 3.1, 95% confidence interval (CI) 1.6-5.9; P = 0.001] and bacteremia (OR 3.8, 95% CI 1.6-8.9; P = 0.02) but did not change with a diagnosis of peritonitis (OR 1.03, 95% CI 0.54-1.97; P = 0.90). These findings indicate that anti-endotoxin interventions should be tailored to individual patients based on both clinical conditions and measured endotoxin levels.

  16. Evaluating the forced oscillation technique in the detection of early smoking-induced respiratory changes

    PubMed Central

    Faria, Alvaro CD; Lopes, Agnaldo J; Jansen, José M; Melo, Pedro L

    2009-01-01

    Background Early detection of the effects of smoking is of the utmost importance in the prevention of chronic obstructive pulmonary disease (COPD). The forced oscillation technique (FOT) is easy to perform since it requires only tidal breathing and offers a detailed approach to investigate the mechanical properties of the respiratory system. The FOT was recently suggested as an attractive alternative for diagnosing initial obstruction in COPD, which may be helpful in detecting COPD in its initial phases. Thus, the purpose of this study was twofold: (1) to evaluate the ability of FOT to detect early smoking-induced respiratory alterations; and (2) to compare the sensitivity of FOT with spirometry in a sample of low tobacco-dose subjects. Methods Results from a group of 28 smokers with a tobacco consumption of 11.2 ± 7.3 pack-years were compared with a control group formed by 28 healthy subjects using receiver operating characteristic (ROC) curves and a questionnaire as a gold standard. The early adverse effects of smoking were adequately detected by the absolute value of the respiratory impedance (Z4Hz), the intercept resistance (R0), and the respiratory system dynamic compliance (Crs, dyn). Z4Hz was the most accurate parameter (Se = 75%, Sp = 75%), followed by R0 and Crs, dyn. The performances of the FOT parameters in the detection of the early effects of smoking were higher than that of spirometry (p < 0.05). Conclusion This study shows that FOT can be used to detect early smoking-induced respiratory changes while these pathologic changes are still potentially reversible. These findings support the use of FOT as a versatile clinical diagnostic tool in aiding COPD prevention and treatment. PMID:19781078

  17. A systematic review of decision aids for patients making a decision about treatment for early breast cancer.

    PubMed

    Nicholas Zdenkowski; Butow, Phyllis; Tesson, Stephanie; Boyle, Frances

    2016-04-01

    Several complex treatment decisions may be offered to women with early stage breast cancer, about a range of treatments from different modalities including surgery, radiotherapy, and endocrine and chemotherapy. Decision aids can facilitate shared decision-making and improve decision-related outcomes. We aimed to systematically identify, describe and appraise the literature on treatment decision aids for women with early breast cancer, synthesise the data and identify breast cancer decisions that lack a decision aid. A prospectively developed search strategy was applied to MEDLINE, the Cochrane databases, EMBASE, PsycINFO, Web of Science and abstract databases from major conferences. Data were extracted into a pre-piloted form. Quality and risk of bias were measured using Qualsyst criteria. Results were synthesised into narrative format. Thirty-three eligible articles were identified, evaluating 23 individual treatment decision aids, comprising 13 randomised controlled trial reports, seven non-randomised comparative studies, eight single-arm pre-post studies and five cross-sectional studies. The decisions addressed by these decision aids were: breast conserving surgery versus mastectomy (+/- reconstruction); use of chemotherapy and/or endocrine therapy; radiotherapy; and fertility preservation. Outcome measures were heterogeneous, precluding meta-analysis. Decisional conflict decreased, and knowledge and satisfaction increased, without any change in anxiety or depression, in most studies. No studies were identified that evaluated decision aids for neoadjuvant systemic therapy, or contralateral prophylactic mastectomy. Decision aids are available and improved decision-related outcomes for many breast cancer treatment decisions including surgery, radiotherapy, and endocrine and chemotherapy. Decision aids for neoadjuvant systemic therapy and contralateral prophylactic mastectomy could not be found, and may be warranted.

  18. 75 FR 5603 - Part C Early Intervention Services Grant Under the Ryan White HIV/AIDS Program

    Federal Register 2010, 2011, 2012, 2013, 2014

    2010-02-03

    ... From the Federal Register Online via the Government Publishing Office DEPARTMENT OF HEALTH AND HUMAN SERVICES Health Resources and Services Administration Part C Early Intervention Services Grant Under the Ryan White HIV/AIDS Program AGENCY: Health Resources and Services Administration (HRSA),...

  19. Digital Mammography: Development of an Advanced Computer-Aided Diagnosis System for Breast Cancer Detection

    DTIC Science & Technology

    2006-05-01

    aided diagnosis of masses with full-field digital mammography,” Acad. Radiol. 9, 4–12 2002. 34D. Gur, J. S. Stalder, L. A. Hardesty , B. Zheng, J. H...Pickett RM , D’Orsi CJ. Stereo- scopic digital mammography: improving detection and diagnosis of breast cancer. Berlin, Germany: International Congress...other is the root-mean-square ( RMS ) distance between the computer and manually identified pectoral boundary. For 118 MLO view mammograms, 99.2% (117

  20. Pilot Implementation of Breast Cancer Early Detection Programs in Colombia

    PubMed Central

    Murillo, Raúl; Díaz, Sandra; Sánchez, Oswaldo; Perry, Fernando; Piñeros, Marion; Poveda, César; Salguero, Edgar; Osorio, Dimelza

    2008-01-01

    Summary Breast cancer is increasing in developing countries, and Colombia has a double burden from cervical and breast cancer. Suitable guidelines for breast cancer early detection are needed, and the Breast Health Global Initiative provides a favorable framework for breast cancer control in low resource nations. The Colombian National Cancer Institute developed evidence-based guidelines for breast cancer early detection in which coordinated early detection in symptomatic women and hospital-based screening in women aged 50–69 are recommended. A pilot project to evaluate programmatic approaches (opportunistic screening) was designed, and it is expected that organized hospital-based screening for breast cancer will represent a move towards population-based screening in the near future in accordance with country specific conditions. PMID:20824017

  1. Gallbladder Carcinoma, the Difficulty of Early Detection: A Case Report

    PubMed Central

    Lewis, Stephen L; Bear, Jonathan R; Van Echo, David C; Dainer, Hugh M

    2016-01-01

    Gallbladder carcinoma (GBC) is an uncommon malignancy with a high mortality rate. Detecting gallbladder carcinoma in its early stages can be difficult, despite improvements in ultrasound and computed tomography (CT) imaging. Most diagnoses of GBC are made at advanced stages, with the majority being found incidentally during surgery for cholelithiasis. The presented case demonstrates the difficulty of diagnosing GBC preoperatively in its early stages. PMID:27014527

  2. Development of an assisting detection system for early infarct diagnosis

    SciTech Connect

    Sim, K. S.; Nia, M. E.; Ee, C. S.

    2015-04-24

    In this paper, a detection assisting system for early infarct detection is developed. This new developed method is used to assist the medical practitioners to diagnose infarct from computed tomography images of brain. Using this assisting system, the infarct could be diagnosed at earlier stages. The non-contrast computed tomography (NCCT) brain images are the data set used for this system. Detection module extracts the pixel data from NCCT brain images, and produces the colourized version of images. The proposed method showed great potential in detecting infarct, and helps medical practitioners to make earlier and better diagnoses.

  3. Advances in pancreatic cancer research: moving towards early detection.

    PubMed

    He, Xiang-Yi; Yuan, Yao-Zong

    2014-08-28

    Pancreatic ductal adenocarcinoma (PDAC) is one of the most lethal forms of cancer. Substantial progress has been made in the understanding of the biology of pancreatic cancer, and advances in patient management have been significant. However, most patients (nearly 80%) who present with locally advanced or metastatic disease have an extremely poor prognosis. Survival is better for those with malignant disease localized to the pancreas, because surgical resection at present offers the only chance of cure. Therefore, the early detection of pancreatic cancer may benefit patients with PDAC. However, its low rate of incidence and the limitations of current screening strategies make early detection difficult. Recent advances in the understanding of the pathogenesis of PDAC suggest that it is possible to detect PDAC in early stages and even identify precursor lesions. The presence of new-onset diabetes mellitus in the early phase of pancreatic cancer may provide clues for its early diagnosis. Advances in the identification of novel circulating biomarkers including serological signatures, autoantibodies, epigenetic markers, circulating tumor cells and microRNAs suggest that they can be used as potential tools for the screening of precursors and early stage PDAC in the future. However, proper screening strategies based on effective screening methodologies need to be tested for clinical application.

  4. Screening and Early Detection of Gastric Cancer: East Versus West.

    PubMed

    Suh, Yun-Suhk; Yang, Han-Kwang

    2015-10-01

    Low ratio of mortality over incidence of gastric cancer in Asian countries including Korea and Japan could be explained by early detection after screening, different treatment strategy, or genetic disparity between the East and West. Early detection after screening program for gastric cancer and subsequent surgical treatment including appropriate lymph node dissection has been developed successfully in high risk areas such as East Asian countries. Even in countries with a low prevalence of gastric cancer, a specific screening program is recommended for any high-risk population.

  5. Screening and early detection efforts in lung cancer.

    PubMed

    Kanodra, Neeti M; Silvestri, Gerard A; Tanner, Nichole T

    2015-05-01

    Lung cancer is the leading cause of cancer-related death in the United States. Since publication of results from the National Lung Screening Trial, several professional organizations, including the US Preventive Services Task Force, have published guidelines recommending low-dose computed tomography for screening in asymptomatic, high-risk individuals. The benefits of screening include detection of cancer at an early stage when a definitive cure is possible, but the risks include overdiagnosis, false-positive results, psychological distress, and radiation exposure. The current review covers the scope of low-dose computed tomography screening, potential risks, costs, and future directions in the efforts for early detection of lung cancer.

  6. Electromagnetic detection of HIV DNA in the blood of AIDS patients treated by antiretroviral therapy.

    PubMed

    Montagnier, Luc; Aïssa, Jamal; Lavallée, Claude; Mbamy, Mireille; Varon, Joseph; Chenal, Henri

    2009-12-01

    Electromagnetic signals of low frequency have been shown to be durably produced in aqueous dilutions of the Human Imunodeficiency Virus DNA. In vivo, HIV DNA signals are detected only in patients previously treated by antiretroviral therapy and having no detectable viral RNA copies in their blood. We suggest that the treatment of AIDS patients pushes the virus towards a new mode of replication implying only DNA, thus forming a reservoir insensitive to retroviral inhibitors. Implications for new approaches aimed at eradicating HIV infection are discussed.

  7. Detection of human cytomegalovirus in plasma of AIDS patients during acute visceral disease by DNA amplification.

    PubMed Central

    Spector, S A; Merrill, R; Wolf, D; Dankner, W M

    1992-01-01

    By using the polymerase chain reaction (PCR) amplification procedure, 19 (83%) of 23 plasma specimens obtained from individuals with AIDS and human cytomegalovirus (HCMV) visceral disease were found to be positive for plasma viremia as detected by PCR (PV-PCR), whereas 78% of cultures of peripheral blood leukocytes from the same samples were found to be positive. All 11 specimens prospectively obtained from individuals with acute HCMV disease were positive by PV-PCR. Plasma specimens from patients who received ganciclovir therapy rapidly became both culture and PV-PCR negative, and there was an excellent correlation between the two procedures. DNA detected by PV-PCR was unaffected by filtering plasma through a 0.2-microns-pore-size filter, although a conserved cellular gene, HLA-DQ alpha, was undetectable by PCR following filtration. HCMV DNA in plasma could be quantitated by PV-PCR by using endpoint serial dilutions, with detectable virus being present in 10(1) to 10(-2) microliters of plasma. A low titer of infectious virus could be detected in 2 of 11 plasma samples. The detection of HCMV DNA in plasma by PV-PCR promises to be a useful procedure for monitoring patients with AIDS suspected of having impending, acute, or recurrent HCMV visceral disease and suggests an additional route by which virus may disseminate in the immunocompromised host. Images PMID:1328287

  8. Detection of early caries by laser-induced breakdown spectroscopy

    NASA Astrophysics Data System (ADS)

    Sasazawa, Shuhei; Kakino, Satoko; Matsuura, Yuji

    2015-07-01

    To improve sensitivity of dental caries detection by laser-induced breakdown spectroscopy (LIBS) analysis, it is proposed to utilize emission peaks in the ultraviolet. We newly focused on zinc whose emission peaks exist in ultraviolet because zinc exists at high concentration in the outer layer of enamel. It was shown that by using ratios between heights of an emission peak of Zn and that of Ca, the detection sensitivity and stability are largely improved. It was also shown that early caries are differentiated from healthy part by properly setting a threshold in the detected ratios. The proposed caries detection system can be applied to dental laser systems such as ones based on Er:YAG-lasers. When ablating early caries part by laser light, the system notices the dentist that the ablation of caries part is finished. We also show the intensity of emission peaks of zinc decreased with ablation with Er:YAG laser light.

  9. Innovation in observation: a vision for early outbreak detection

    PubMed Central

    Fefferman, NH; Naumova, EN

    2010-01-01

    The emergence of new infections and resurgence of old ones—health threats stemming from environmental contamination or purposeful acts of bioterrorism—call for a worldwide effort in improving early outbreak detection, with the goal of ameliorating current and future risks. In some cases, the problem of outbreak detection is logistically straightforward and mathematically easy: a single case of a disease of great concern can constitute an outbreak. However, for the vast majority of maladies, a simple analytical solution does not exist. Furthermore, each step in developing reliable, sensitive, effective surveillance systems demonstrates enormous complexities in the transmission, manifestation, detection, and control of emerging health threats. In this communication, we explore potential future innovations in early outbreak detection systems that can overcome the pitfalls of current surveillance. We believe that modern advances in assembling data, techniques for collating and processing information, and technology that enables integrated analysis will facilitate a new paradigm in outbreak definition and detection. We anticipate that moving forward in this direction will provide the highly desired sensitivity and specificity in early detection required to meet the emerging challenges of global disease surveillance. PMID:22460396

  10. Computer-aided tumor detection stemmed from the fuzzification of the Dempster-Shafer theory

    NASA Astrophysics Data System (ADS)

    Udobata, Obioma; Revol-Muller, Chantal; Lartizien, Carole

    2011-03-01

    In decision making processes where we have to deal with epistemic uncertainties, the Dempster-Shafer theory (DST) of evidence and fuzzy logic have gained prominence as the methods of choice over traditional probabilistic methods. The DST is unfortunately known to give wrong results in situations of high conflict. While some methods have been proposed in the literature for improving the DST, such as the weighted DST which assumes that we have some information about the relative reliabilities of the classifiers, we opted to incorporate fuzzy concepts in the DST framework. This work was motivated by the desire to improve detection performance of a Computer-Aided Detection (CAD) system under development for the detection of tumors in Positron Emission Tomography (PET) images by fusing the outputs of multiple classifiers such as the SVM and LDA classifiers. A first implement based on a simple binary fusion scheme gave a result of 69% true detections with an average of 2.5 false positive detections per 3D image (FPI). These results prompted the use of the DST which resulted in 92% detection sensitivity and 25 FPI. As a way of further reducing the false detections, we chose to tackle the limitations inherent to the DST by principally applying fuzzy techniques in defining the hypotheses and experimenting with new combination rules. The best result of this modified DST approach has been a 92% true tumor detection with 12 FPI; indicating a reduction by a factor of 2 of the false detections while maintaining high sensitivity.

  11. Strategies for early detection of resectable pancreatic cancer.

    PubMed

    Okano, Keiichi; Suzuki, Yasuyuki

    2014-08-28

    Pancreatic cancer is difficult to diagnose at an early stage and generally has a poor prognosis. Surgical resection is the only potentially curative treatment for pancreatic carcinoma. To improve the prognosis of this disease, it is essential to detect tumors at early stages, when they are resectable. The optimal approach to screening for early pancreatic neoplasia has not been established. The International Cancer of the Pancreas Screening Consortium has recently finalized several recommendations regarding the management of patients who are at an increased risk of familial pancreatic cancer. In addition, there have been notable advances in research on serum markers, tissue markers, gene signatures, and genomic targets of pancreatic cancer. To date, however, no biomarkers have been established in the clinical setting. Advancements in imaging modalities touch all aspects of the clinical management of pancreatic diseases, including the early detection of pancreatic masses, their characterization, and evaluations of tumor resectability. This article reviews strategies for screening high-risk groups, biomarkers, and current advances in imaging modalities for the early detection of resectable pancreatic cancer.

  12. Early prenatal detection of double outlet right ventricle by echocardiography.

    PubMed Central

    Stewart, P A; Wladimiroff, J W; Becker, A E

    1985-01-01

    A double outlet right ventricle with subpulmonary ventricular septal defect and right sided hypoplastic aorta was diagnosed in a 22 week fetus of a mother with diabetes mellitus. Elective termination of pregnancy was carried out and the echocardiographic findings were confirmed. Early prenatal detection of congenital heart disease may allow elective termination of pregnancy when the fetus has severe defects. Images PMID:4041305

  13. Why Ambiguity Detection Is a Predictor of Early Reading Skill

    ERIC Educational Resources Information Center

    Wankoff, Lorain Szabo; Cairns, Helen Smith

    2009-01-01

    This study was designed to determine the contributions of metalinguistic skill and psycholinguistic processing ability to children's ability to detect the ambiguity of sentences and the relationship among all three factors to early reading ability. A total of 20 first graders and 20 second graders were given tasks testing the following abilities:…

  14. EARLY DETECTION MONITORING OF INVASIVE SPECIES IN GREAT LAKES HARBORS

    EPA Science Inventory

    The Great Ships Initiative (GSI) has asked for a presentation on designing harbor monitoring. Our research/development project on early detection provides some examples and lessons for GSI to consider in evaluating effectiveness of ballast water treatments; the presentation allo...

  15. Sweet-spot training for early esophageal cancer detection

    NASA Astrophysics Data System (ADS)

    van der Sommen, Fons; Zinger, Svitlana; Schoon, Erik J.; de With, Peter H. N.

    2016-03-01

    Over the past decade, the imaging tools for endoscopists have improved drastically. This has enabled physicians to visually inspect the intestinal tissue for early signs of malignant lesions. Besides this, recent studies show the feasibility of supportive image analysis for endoscopists, but the analysis problem is typically approached as a segmentation task where binary ground truth is employed. In this study, we show that the detection of early cancerous tissue in the gastrointestinal tract cannot be approached as a binary segmentation problem and it is crucial and clinically relevant to involve multiple experts for annotating early lesions. By employing the so-called sweet spot for training purposes as a metric, a much better detection performance can be achieved. Furthermore, a multi-expert-based ground truth, i.e. a golden standard, enables an improved validation of the resulting delineations. For this purpose, besides the sweet spot we also propose another novel metric, the Jaccard Golden Standard (JIGS) that can handle multiple ground-truth annotations. Our experiments involving these new metrics and based on the golden standard show that the performance of a detection algorithm of early neoplastic lesions in Barrett's esophagus can be increased significantly, demonstrating a 10 percent point increase in the resulting F1 detection score.

  16. DESPIC: Detecting Early Signatures of Persuasion in Information Cascades

    DTIC Science & Technology

    2015-08-27

    RESPONSIBLE PERSON 19b. TELEPHONE NUMBER Alessandro Flammini Alessandro Flammini, Filippo Menczer, Qiaozhu Mei, Sergey Malinchik c. THIS PAGE The public...on social media in their early stage of diffusion. Such campaigns include rumors, spread of misinformation, persuasion attempts, and advertising...27709-2211 infrastructure for Twitter data collection, archival and retrieval. clustering of streaming social media data. Detection of Social Bots

  17. [Detection of early forms of keratoconus - current screening methods].

    PubMed

    Goebels, S; Eppig, T; Seitz, B; Langenbucher, A

    2013-10-01

    The detection of early forms of keratoconus is still a challenge for clinicians. Beside clinical examination and diagnosis of keratoconus, a series of examination techniques has been established in clinical routine to assist in the diagnosis of early forms of keratoconus: corneal topography for measuring the geometry of the corneal front surface, tomography for measuring the geometry of structures of the anterior segment of the eye, aberrometers for evaluation of optical aberrations of the entire eye, and a system for investigation of the biomechanical properties of the cornea. These instruments provide software tools which are designed for diagnostic support in keratoconus. In this review article, we provide an overview over the spectrum of measurement systems currently on the market focussing on their performance for detecting (early forms of) keratoconus. In detail, we focus on dedicated keratoconus screening software modules of topography, tomography, aberrometry and biomechanics.

  18. Symmetric RBF classifier for nonlinear detection in multiple-antenna-aided systems.

    PubMed

    Chen, Sheng; Wolfgang, Andreas; Harris, Chris J; Hanzo, Lajos

    2008-05-01

    In this paper, we propose a powerful symmetric radial basis function (RBF) classifier for nonlinear detection in the so-called "overloaded" multiple-antenna-aided communication systems. By exploiting the inherent symmetry property of the optimal Bayesian detector, the proposed symmetric RBF classifier is capable of approaching the optimal classification performance using noisy training data. The classifier construction process is robust to the choice of the RBF width and is computationally efficient. The proposed solution is capable of providing a signal-to-noise ratio (SNR) gain in excess of 8 dB against the powerful linear minimum bit error rate (BER) benchmark, when supporting four users with the aid of two receive antennas or seven users with four receive antenna elements.

  19. Development of a Multiantigen Panel for Improved Detection of Borrelia burgdorferi Infection in Early Lyme Disease

    PubMed Central

    Panas, Michael W.; Mao, Rong; Delanoy, Michelle; Flanagan, John J.; Binder, Steven R.; Rebman, Alison W.; Montoya, Jose G.; Soloski, Mark J.; Steere, Allen C.; Dattwyler, Raymond J.; Arnaboldi, Paul M.; Aucott, John N.

    2015-01-01

    The current standard for laboratory diagnosis of Lyme disease in the United States is serologic detection of antibodies against Borrelia burgdorferi. The Centers for Disease Control and Prevention recommends a two-tiered testing algorithm; however, this scheme has limited sensitivity for detecting early Lyme disease. Thus, there is a need to improve diagnostics for Lyme disease at the early stage, when antibiotic treatment is highly efficacious. We examined novel and established antigen markers to develop a multiplex panel that identifies early infection using the combined sensitivity of multiple markers while simultaneously maintaining high specificity by requiring positive results for two markers to designate a positive test. Ten markers were selected from our initial analysis of 62 B. burgdorferi surface proteins and synthetic peptides by assessing binding of IgG and IgM to each in a training set of Lyme disease patient samples and controls. In a validation set, this 10-antigen panel identified a higher proportion of early-Lyme-disease patients as positive at the baseline or posttreatment visit than two-tiered testing (87.5% and 67.5%, respectively; P < 0.05). Equivalent specificities of 100% were observed in 26 healthy controls. Upon further analysis, positivity on the novel 10-antigen panel was associated with longer illness duration and multiple erythema migrans. The improved sensitivity and comparable specificity of our 10-antigen panel compared to two-tiered testing in detecting early B. burgdorferi infection indicates that multiplex analysis, featuring the next generation of markers, could advance diagnostic technology to better aid clinicians in diagnosing and treating early Lyme disease. PMID:26447113

  20. Development of a Multiantigen Panel for Improved Detection of Borrelia burgdorferi Infection in Early Lyme Disease.

    PubMed

    Lahey, Lauren J; Panas, Michael W; Mao, Rong; Delanoy, Michelle; Flanagan, John J; Binder, Steven R; Rebman, Alison W; Montoya, Jose G; Soloski, Mark J; Steere, Allen C; Dattwyler, Raymond J; Arnaboldi, Paul M; Aucott, John N; Robinson, William H

    2015-12-01

    The current standard for laboratory diagnosis of Lyme disease in the United States is serologic detection of antibodies against Borrelia burgdorferi. The Centers for Disease Control and Prevention recommends a two-tiered testing algorithm; however, this scheme has limited sensitivity for detecting early Lyme disease. Thus, there is a need to improve diagnostics for Lyme disease at the early stage, when antibiotic treatment is highly efficacious. We examined novel and established antigen markers to develop a multiplex panel that identifies early infection using the combined sensitivity of multiple markers while simultaneously maintaining high specificity by requiring positive results for two markers to designate a positive test. Ten markers were selected from our initial analysis of 62 B. burgdorferi surface proteins and synthetic peptides by assessing binding of IgG and IgM to each in a training set of Lyme disease patient samples and controls. In a validation set, this 10-antigen panel identified a higher proportion of early-Lyme-disease patients as positive at the baseline or posttreatment visit than two-tiered testing (87.5% and 67.5%, respectively; P < 0.05). Equivalent specificities of 100% were observed in 26 healthy controls. Upon further analysis, positivity on the novel 10-antigen panel was associated with longer illness duration and multiple erythema migrans. The improved sensitivity and comparable specificity of our 10-antigen panel compared to two-tiered testing in detecting early B. burgdorferi infection indicates that multiplex analysis, featuring the next generation of markers, could advance diagnostic technology to better aid clinicians in diagnosing and treating early Lyme disease.

  1. [From early detection to early care: intervention strategies based on prospective screening].

    PubMed

    Canal-Bedia, Ricardo; García-Primo, Patricia; Hernández-Fabián, Aránzazu; Magán-Maganto, María; Sánchez, Ana B; Posada-De la Paz, Manuel

    2015-02-25

    INTRODUCTION. The challenge of early detection can be tackled from an evolutionary perspective. Early intervention treatments have shown themselves to be effective provided that they are applied systematically as part of the strategic planning of the treatment. AIMS. The aim of this study is to provide an updated review in response to the criticism targeted towards early detection and to offer some considerations on the intervention strategy. Our research is based on a review of the early care techniques that are commonly used within the field of autism and it intends to reflect the most significant aspects that can be deduced from the experiments and studies carried out to date. CONCLUSIONS. From the findings of the review it can be concluded that early detection may be more efficient if carried out within the framework of developmental surveillance, which also offers the opportunity to provide guidance on the child's development. Early care is an effective resource for attending to the needs of children with autism. Professionals have the duty to assess the work they do on available treatments with a reflexive, judicious attitude, taking into account the values and preferences of the families. Programmes must focus on the core symptoms and apply the active ingredients of the treatment.

  2. New strategies for the early detection of pancreatic cancer.

    PubMed

    Petrone, Maria Chiara; Arcidiacono, Paolo Giorgio

    2016-01-01

    Pancreatic cancer (PC) remains a deadly disease and early detection through screening is likely to be our best hope to improve survival. Considering the low incidence of PC, population-based screening is not feasible, but is advisable for high-risk patients. Screening individuals at high risk for developing PC leads to the detection of premalignant lesions. High-grade pancreatic intraepithelial neoplasia and intraductal papillary mucinous neoplasm are the targets for early detection of PC. Endoscopic ultrasound (EUS) and magnetic resonance imaging are considered the most accurate techniques for pancreatic imaging; in particular EUS has emerged as a promising imaging test given its potential for tissue sampling to obtain diagnosis and to provide material for molecular profiling of PC. At the moment, screening should be performed within research protocols at experienced centers with a specific clinical and research interest, where a multidisciplinary team of specialists is available.

  3. Development of a neural network for early detection of renal osteodystrophy

    NASA Astrophysics Data System (ADS)

    Cheng, Shirley N.; Chan, Heang-Ping; Adler, Ronald; Niklason, Loren T.; Chang, Chair-Li

    1991-07-01

    Bone erosion presenting as subperiosteal resorption on the phalanges of the hand is an early manifestation of hyperparathyroidism associated with chronic renal failure. At present, the diagnosis is made by trained radiologists through visual inspection of hand radiographs. In this study, a neural network is being developed to assess the feasibility of computer-aided detection of these changes. A two-pass approach is adopted. The digitized image is first compressed by a Laplacian pyramid compact code. The first neural network locates the region of interest using vertical projections along the phalanges and then the horizontal projections across the phalanges. A second neural network is used to classify texture variations of trabecular patterns in the region using a concurrence matrix as the input to a two-dimensional sensor layer to detect the degree of associated osteopenia. Preliminary results demonstrate the feasibility of this approach.

  4. Application of glycoscience to the early detection of pancreatic cancer.

    PubMed

    Miyoshi, Eiji; Kamada, Yoshihiro

    2016-10-01

    The prognosis of pancreatic cancer is extremely poor compared to other cancers. One of the reasons for this is the difficulty of early diagnosis. Surveillance using cancer biomarkers and image diagnosis can enable early detection and has improved the prognosis of hepatocellular carcinoma in Japan. However, it is very difficult to detect pancreatic cancer at an early stage using cancer biomarkers and image diagnosis alone. Fucosylation is one of the most important types of glycosylation involved in cancer and inflammation. We have developed a novel glycocancer biomarker, fucosylated haptoglobin (Fuc-Hpt), and have investigated its usefulness for the diagnosis of pancreatic cancer over approximately 10 years. Recently, we also found that most pancreatic tissues surrounding pancreatic cancer exhibit chronic pancreatitis with fibrosis and/or fatty degeneration. Certain forms of chronic pancreatitis might indicate high risk for the development of pancreatic cancer. In this review, we provide a historical summary of our research on Fuc-Hpt as a cancer biomarker, and discuss a potential early detection system for pancreatic cancer.

  5. A concept for early cancer detection and therapy

    NASA Astrophysics Data System (ADS)

    Waynant, Ronald W.; Ilev, Ilko K.; Mitra, Kunal

    2003-06-01

    Early detection and treatment of breast cancer is least costly in terms of dollars, morbidity and mortality. With new early detection x-ray technology, tumors can be found, diagnosed and treated at a much smaller size than is currently possible. This paper proposes the development of a high resolution, high quality imaging system. It is a laser-driven x-ray system with time-gated detection that removes scattering noise in the image and produces resolution on the order of 10 μm. This higher resolution and higher image quality will enable the detection of one or two millimeter tumors hopefully detecting them before metastasis. We also propose that tumor detection should be followed by an immediate needle-directed, optical fiber biopsy to instantly determine if cancer is present and, if present, the tumor should immediately be given a lethal treatment of laser or x-radiation through the same needle using fiber optics or hollow waveguides. This technology will help prevent multiple interventions resulting in both the lowest overall cost and a more efficacious therapy. The approach can be stopped at the first negative (benign) indication and will help forestall repeated examination as well as reduce patient anxiety.

  6. The Price of Innocence: Teachers, Gender, Childhood Sexuality, HIV and AIDS in Early Schooling

    ERIC Educational Resources Information Center

    Bhana, Deevia

    2007-01-01

    Drawing from data collected during interviews with grade 2 teachers who work in a black working-class township school, this paper explores the meanings that teachers attach to HIV and AIDS education. It is argued that the relationship of many teachers to the subject of HIV and AIDS is inscribed within regulatory forces based on the notion of…

  7. Evaluation of computer-aided procedure for detecting surface water. [using ERTS-1 data

    NASA Technical Reports Server (NTRS)

    1973-01-01

    Results from an evaluation of a computer-aided procedure for processing ERTS-1 data to detect and locate surface water are presented. The procedure was evaluated using data from a study area in the vicinity of the Lake Somerville area in Washington County, Texas. The procedure consisted of (1) selecting water training fields, (2) aggregating the training samples together and clustering them into unimodal clusters, (3) computing the mean vector and covariance matrix for each cluster, (4) classifying all of the study area into classes corresponding to the clusters using the maximum likelihood classifier, and (5) thresholding out the nonwater pixels.

  8. A New Methodology for Early Anomaly Detection of BWR Instabilities

    SciTech Connect

    Ivanov, K. N.

    2005-11-27

    The objective of the performed research is to develop an early anomaly detection methodology so as to enhance safety, availability, and operational flexibility of Boiling Water Reactor (BWR) nuclear power plants. The technical approach relies on suppression of potential power oscillations in BWRs by detecting small anomalies at an early stage and taking appropriate prognostic actions based on an anticipated operation schedule. The research utilizes a model of coupled (two-phase) thermal-hydraulic and neutron flux dynamics, which is used as a generator of time series data for anomaly detection at an early stage. The model captures critical nonlinear features of coupled thermal-hydraulic and nuclear reactor dynamics and (slow time-scale) evolution of the anomalies as non-stationary parameters. The time series data derived from this nonlinear non-stationary model serves as the source of information for generating the symbolic dynamics for characterization of model parameter changes that quantitatively represent small anomalies. The major focus of the presented research activity was on developing and qualifying algorithms of pattern recognition for power instability based on anomaly detection from time series data, which later can be used to formulate real-time decision and control algorithms for suppression of power oscillations for a variety of anticipated operating conditions. The research being performed in the framework of this project is essential to make significant improvement in the capability of thermal instability analyses for enhancing safety, availability, and operational flexibility of currently operating and next generation BWRs.

  9. Reorganization of auditory cortex in early-deaf people: functional connectivity and relationship to hearing aid use.

    PubMed

    Shiell, Martha M; Champoux, François; Zatorre, Robert J

    2015-01-01

    Cross-modal reorganization after sensory deprivation is a model for understanding brain plasticity. Although it is a well-documented phenomenon, we still know little of the mechanisms underlying it or the factors that constrain and promote it. Using fMRI, we identified visual motion-related activity in 17 early-deaf and 17 hearing adults. We found that, in the deaf, the posterior superior temporal gyrus (STG) was responsive to visual motion. We compared functional connectivity of this reorganized cortex between groups to identify differences in functional networks associated with reorganization. In the deaf more than the hearing, the STG displayed increased functional connectivity with a region in the calcarine fissure. We also explored the role of hearing aid use, a factor that may contribute to variability in cross-modal reorganization. We found that both the cross-modal activity in STG and the functional connectivity between STG and calcarine cortex correlated with duration of hearing aid use, supporting the hypothesis that residual hearing affects cross-modal reorganization. We conclude that early auditory deprivation alters not only the organization of auditory regions but also the interactions between auditory and primary visual cortex and that auditory input, as indexed by hearing aid use, may inhibit cross-modal reorganization in early-deaf people.

  10. Detection of longitudinal ulcer using roughness value for computer aided diagnosis of Crohn's disease

    NASA Astrophysics Data System (ADS)

    Oda, Masahiro; Kitasaka, Takayuki; Furukawa, Kazuhiro; Watanabe, Osamu; Ando, Takafumi; Goto, Hidemi; Mori, Kensaku

    2011-03-01

    The purpose of this paper is to present a new method to detect ulcers, which is one of the symptoms of Crohn's disease, from CT images. Crohn's disease is an inflammatory disease of the digestive tract. Crohn's disease commonly affects the small intestine. An optical or a capsule endoscope is used for small intestine examinations. However, these endoscopes cannot pass through intestinal stenosis parts in some cases. A CT image based diagnosis allows a physician to observe whole intestine even if intestinal stenosis exists. However, because of the complicated shape of the small and large intestines, understanding of shapes of the intestines and lesion positions are difficult in the CT image based diagnosis. Computer-aided diagnosis system for Crohn's disease having automated lesion detection is required for efficient diagnosis. We propose an automated method to detect ulcers from CT images. Longitudinal ulcers make rough surface of the small and large intestinal wall. The rough surface consists of combination of convex and concave parts on the intestinal wall. We detect convex and concave parts on the intestinal wall by a blob and an inverse-blob structure enhancement filters. A lot of convex and concave parts concentrate on roughed parts. We introduce a roughness value to differentiate convex and concave parts concentrated on the roughed parts from the other on the intestinal wall. The roughness value effectively reduces false positives of ulcer detection. Experimental results showed that the proposed method can detect convex and concave parts on the ulcers.

  11. An evaluation of computer-aided disproportionality analysis for post-marketing signal detection.

    PubMed

    Lehman, H P; Chen, J; Gould, A L; Kassekert, R; Beninger, P R; Carney, R; Goldberg, M; Goss, M A; Kidos, K; Sharrar, R G; Shields, K; Sweet, A; Wiholm, B E; Honig, P K

    2007-08-01

    To understand the value of computer-aided disproportionality analysis (DA) in relation to current pharmacovigilance signal detection methods, four products were retrospectively evaluated by applying an empirical Bayes method to Merck's post-marketing safety database. Findings were compared with the prior detection of labeled post-marketing adverse events. Disproportionality ratios (empirical Bayes geometric mean lower 95% bounds for the posterior distribution (EBGM05)) were generated for product-event pairs. Overall (1993-2004 data, EBGM05> or =2, individual terms) results of signal detection using DA compared to standard methods were sensitivity, 31.1%; specificity, 95.3%; and positive predictive value, 19.9%. Using groupings of synonymous labeled terms, sensitivity improved (40.9%). More of the adverse events detected by both methods were detected earlier using DA and grouped (versus individual) terms. With 1939-2004 data, diagnostic properties were similar to those from 1993 to 2004. DA methods using Merck's safety database demonstrate sufficient sensitivity and specificity to be considered for use as an adjunct to conventional signal detection methods.

  12. Early detection of drillstring washouts reduces fishing jobs

    SciTech Connect

    Dudleson, B. ); Arnold, M.; McCann, D. )

    1990-10-01

    Rapid detection of unexpected drilling events requires continuous monitoring of drilling parameters. A major R and D program by a drilling contractor has led to the introduction of a computerized monitoring system on its offshore rigs. System includes advanced color graphics displays and new smart alarms to help both contractor and operator personnel detect and observe drilling events before they would normally be apparent with conventional rig instrumentation. This article describes a module of this monitoring system, which uses expert system technology to detect the earliest stages of drillstring washouts. Field results demonstrate the effectiveness of the smart alarm incorporated in the system. Early detection allows the driller to react before a twist-off results in expensive fishing operations.

  13. Computer-aided detection of microcalcifications in digital breast tomosynthesis (DBT): a multichannel signal detection approach on projection views

    NASA Astrophysics Data System (ADS)

    Wei, Jun; Chan, Heang-Ping; Hadjiiski, Lubomir; Helvie, Mark A.; Zhou, Chuan; Lu, Yao

    2012-03-01

    DBT is one of the promising imaging modalities that may improve the sensitivity and specificity for breast cancer detection. We are developing a computer-aided detection (CADe) system for clustered microcalcifications (MC) in DBT. A data set of two-view DBTs from 42 breasts was collected with a GE prototype system. We investigated a 2D approach to MC detection using projection view (PV) images rather than reconstructed 3D DBT volume. Our 2D approach consisted of two major stages: 1) detecting individual MC candidates on each PV, and 2) correlating the MC candidates from the different PVs and detecting clusters in the breast volume. With the MC candidates detected by prescreening on PVs, a trained multi-channel (MCH) filter bank was used to extract signal response from each MC candidate. A ray-tracing process was performed to fuse the MCH responses and localize the MC candidates in 3D using the geometrical information of the DBT system. Potential MC clusters were then identified by dynamic clustering of the MCs in 3D. A two-fold cross-validation method was used to train and test the CADe system. The detection performance of clustered MCs was assessed by free receiver operating characteristic (FROC) analysis. It was found that the CADe system achieved a case-based sensitivity of 90% at an average false positive rate of 2.1 clusters per DBT volume. Our study demonstrated that the CADe system using 2D MCH filter bank is promising for detection of clustered MCs in DBT.

  14. Hearing Aid Tester

    NASA Technical Reports Server (NTRS)

    1978-01-01

    Hearing aids often develop malfunctions that are not detected by the wearer. This is particularly true when the wearers are school-age children. Studies of selected groups showed that from 30 to more than 50 percent of school children were not getting adequate benefit from their hearing aids because of unrecognized malfunctions, usually low or dead batteries. This can be serious because hearing impairment retards a child's educational progress. NASA technology incorporated in the Hearing Aid Malfunction Detection Unit (HAMDU), the device pictured, is expected to provide an effective countermeasure to the childrens' hearing aid problem. A patent license has been awarded to a minority-owned firm, Hopkins International Company, a subsidiary of H. H. Aerospace Design Co., Inc., Elmford, New York. The company plans early commercial availability of its version of the device.

  15. A Virtual Bioinformatics Knowledge Environment for Early Cancer Detection

    NASA Technical Reports Server (NTRS)

    Crichton, Daniel; Srivastava, Sudhir; Johnsey, Donald

    2003-01-01

    Discovery of disease biomarkers for cancer is a leading focus of early detection. The National Cancer Institute created a network of collaborating institutions focused on the discovery and validation of cancer biomarkers called the Early Detection Research Network (EDRN). Informatics plays a key role in enabling a virtual knowledge environment that provides scientists real time access to distributed data sets located at research institutions across the nation. The distributed and heterogeneous nature of the collaboration makes data sharing across institutions very difficult. EDRN has developed a comprehensive informatics effort focused on developing a national infrastructure enabling seamless access, sharing and discovery of science data resources across all EDRN sites. This paper will discuss the EDRN knowledge system architecture, its objectives and its accomplishments.

  16. A Simple System for the Early Detection of Breast Cancer

    DTIC Science & Technology

    2015-07-01

    informatics, immunology , benign cancer , prognostic studies, baseline diagnostics, heatmaps, ROCurves 2 Major Activities 1. Production of IMS arrays...AD______________ AWARD NUMBER: W81XWH-14-1-0231 TITLE: A Simple System for the Early Detection of Breast Cancer PRINCIPAL INVESTIGATOR...0704-0188 Public reporting burden for this collection of information is estimated to average 1 hour per response, including the time for reviewing

  17. Early hearing detection and intervention: 2010 CODEPEH recommendation.

    PubMed

    Trinidad-Ramos, Germán; de Aguilar, Valentín Alzina; Jaudenes-Casaubón, Carmen; Núñez-Batalla, Faustino; Sequí-Canet, José Miguel

    2010-01-01

    Newborn hearing screening is currently performed routinely in many regional health-care systems in Spain. Despite the remarkable expansion in newborn hearing screening since 2000, its feasibility and the benefits of early identification and intervention, many major challenges still remain. In this article, the Committee for the Early Detection of Hearing Loss (Comisión para la Detección Precoz de la Hipoacusia, CODEPEH) updates the recommendations that are considered important for the future development of early hearing detection and intervention (EDHI) systems in the following points: 1. Screening protocols: Separate protocols are recommended for NICU (Neonatal Intensive Care Units) and well-infant nurseries. 2. Diagnostic audiology evaluation. Professionals with skills and expertise in evaluating newborn and young infants should provide diagnosis, selection and fitting of amplification devices. 3. Medical evaluation. Risk factors for congenital and acquired hearing loss have been combined in a single list rather than grouped by time of onset. A stepwise diagnostic paradigm is diagnostically more efficient and cost-effective than a simultaneous testing approach. 4. Early intervention and surveillance. All individuals providing services to infants with hearing loss should have specialized training and expertise in the development of audition, speech and language. Regular surveillance should be performed on developmental milestones, auditory skills, parental concerns, and middle ear status. 5. Quality control. Data management as part of an integrated system is important to monitor and improve the quality of EDHI services.

  18. Monitoring cow activity and rumination time for an early detection of heat stress in dairy cow

    NASA Astrophysics Data System (ADS)

    Abeni, Fabio; Galli, Andrea

    2016-08-01

    The aim of this study was to explore the use of cow activity and rumination time by precision livestock farming tools as early alert for heat stress (HS) detection. A total of 58 Italian Friesian cows were involved in this study during summer 2015. Based on the temperature humidity index (THI), two different conditions were compared on 16 primiparous and 11 multiparous, to be representative of three lactation phases: early (15-84 DIM), around peak (85-154 DIM), and plateau (155-224 DIM). A separate dataset for the assessment of the variance partition included all the cows in the herd from June 7 to July 16. The rumination time (RT2h, min/2 h) and activity index (AI2h, bouts/2 h) were summarized every 2-h interval. The raw data were used to calculate the following variables: total daily RT (RTt), daytime RT (RTd), nighttime RT (RTn), total daily AI (AIt), daytime AI (AId), and nighttime AI (AIn). Either AIt and AId increased, whereas RTt, RTd, and RTn decreased with higher THI in all the three phases. The highest decrease was recorded for RTd and ranged from 49 % (early) to 45 % (plateau). The contribution of the cow within lactation phase was above 60 % of the total variance for AI traits and a share from 33.9 % (for RTt) to 54.8 % (RTn) for RT traits. These observations must be extended to different feeding managements and different animal genetics to assess if different thresholds could be identified to set an early alert system for the farmer.

  19. Monitoring cow activity and rumination time for an early detection of heat stress in dairy cow

    NASA Astrophysics Data System (ADS)

    Abeni, Fabio; Galli, Andrea

    2017-03-01

    The aim of this study was to explore the use of cow activity and rumination time by precision livestock farming tools as early alert for heat stress (HS) detection. A total of 58 Italian Friesian cows were involved in this study during summer 2015. Based on the temperature humidity index (THI), two different conditions were compared on 16 primiparous and 11 multiparous, to be representative of three lactation phases: early (15-84 DIM), around peak (85-154 DIM), and plateau (155-224 DIM). A separate dataset for the assessment of the variance partition included all the cows in the herd from June 7 to July 16. The rumination time (RT2h, min/2 h) and activity index (AI2h, bouts/2 h) were summarized every 2-h interval. The raw data were used to calculate the following variables: total daily RT (RTt), daytime RT (RTd), nighttime RT (RTn), total daily AI (AIt), daytime AI (AId), and nighttime AI (AIn). Either AIt and AId increased, whereas RTt, RTd, and RTn decreased with higher THI in all the three phases. The highest decrease was recorded for RTd and ranged from 49 % (early) to 45 % (plateau). The contribution of the cow within lactation phase was above 60 % of the total variance for AI traits and a share from 33.9 % (for RTt) to 54.8 % (RTn) for RT traits. These observations must be extended to different feeding managements and different animal genetics to assess if different thresholds could be identified to set an early alert system for the farmer.

  20. Monitoring cow activity and rumination time for an early detection of heat stress in dairy cow.

    PubMed

    Abeni, Fabio; Galli, Andrea

    2017-03-01

    The aim of this study was to explore the use of cow activity and rumination time by precision livestock farming tools as early alert for heat stress (HS) detection. A total of 58 Italian Friesian cows were involved in this study during summer 2015. Based on the temperature humidity index (THI), two different conditions were compared on 16 primiparous and 11 multiparous, to be representative of three lactation phases: early (15-84 DIM), around peak (85-154 DIM), and plateau (155-224 DIM). A separate dataset for the assessment of the variance partition included all the cows in the herd from June 7 to July 16. The rumination time (RT2h, min/2 h) and activity index (AI2h, bouts/2 h) were summarized every 2-h interval. The raw data were used to calculate the following variables: total daily RT (RTt), daytime RT (RTd), nighttime RT (RTn), total daily AI (AIt), daytime AI (AId), and nighttime AI (AIn). Either AIt and AId increased, whereas RTt, RTd, and RTn decreased with higher THI in all the three phases. The highest decrease was recorded for RTd and ranged from 49 % (early) to 45 % (plateau). The contribution of the cow within lactation phase was above 60 % of the total variance for AI traits and a share from 33.9 % (for RTt) to 54.8 % (RTn) for RT traits. These observations must be extended to different feeding managements and different animal genetics to assess if different thresholds could be identified to set an early alert system for the farmer.

  1. Detection of early seizures by diffuse optical tomography

    NASA Astrophysics Data System (ADS)

    Zhang, Tao; Hajihashemi, M. Reza; Zhou, Junli; Carney, Paul R.; Jiang, Huabei

    2015-03-01

    In epilepsy it has been challenging to detect early changes in brain activity that occurs prior to seizure onset and to map their origin and evolution for possible intervention. Besides, preclinical seizure experiments need to be conducted in awake animals with images reconstructed and displayed in real-time. We demonstrate using a rat model of generalized epilepsy that diffuse optical tomography (DOT) provides a unique functional neuroimaging modality for noninvasively and continuously tracking brain activities with high spatiotemporal resolution. We developed methods to conduct seizure experiments in fully awake rats using a subject-specific helmet and a restraining mechanism. For the first time, we detected early hemodynamic responses with heterogeneous patterns several minutes preceding the electroencephalographic seizure onset, supporting the presence of a "pre-seizure" state both in anesthetized and awake rats. Using a novel time-series analysis of scattering images, we show that the analysis of scattered diffuse light is a sensitive and reliable modality for detecting changes in neural activity associated with generalized seizure. We found widespread hemodynamic changes evolving from local regions of the bilateral cortex and thalamus to the entire brain, indicating that the onset of generalized seizures may originate locally rather than diffusely. Together, these findings suggest DOT represents a powerful tool for mapping early seizure onset and propagation pathways.

  2. Critical evaluation of diagnostic aids for the detection of oral cancer.

    PubMed

    Lingen, Mark W; Kalmar, John R; Karrison, Theodore; Speight, Paul M

    2008-01-01

    Historically, the screening of patients for signs of oral cancer and precancerous lesions has relied upon the conventional oral examination. A variety of commercial diagnostic aids and adjunctive techniques are available to potentially assist in the screening of healthy patients for evidence of otherwise occult cancerous change or to assess the biologic potential of clinically abnormal mucosal lesions. This manuscript systematically and critically examines the literature associated with current oral cancer screening and case-finding aids or adjuncts such as toluidine blue, brush cytology, tissue reflectance and autofluorescence. The characteristics of an ideal screening test are outlined and the authors pose several questions for clinicians and scientists to consider in the evaluation of current and future studies of oral cancer detection and diagnosis. Although the increased public awareness of oral cancer made possible by the marketing of recently-introduced screening adjuncts is commendable, the tantalizing implication that such technologies may improve detection of oral cancers and precancers beyond conventional oral examination alone has yet to be rigorously confirmed.

  3. A Metric for Reducing False Positives in the Computer-Aided Detection of Breast Cancer from Dynamic Contrast-Enhanced Magnetic Resonance Imaging Based Screening Examinations of High-Risk Women.

    PubMed

    Levman, Jacob E D; Gallego-Ortiz, Cristina; Warner, Ellen; Causer, Petrina; Martel, Anne L

    2016-02-01

    Magnetic resonance imaging (MRI)-enabled cancer screening has been shown to be a highly sensitive method for the early detection of breast cancer. Computer-aided detection systems have the potential to improve the screening process by standardizing radiologists to a high level of diagnostic accuracy. This retrospective study was approved by the institutional review board of Sunnybrook Health Sciences Centre. This study compares the performance of a proposed method for computer-aided detection (based on the second-order spatial derivative of the relative signal intensity) with the signal enhancement ratio (SER) on MRI-based breast screening examinations. Comparison is performed using receiver operating characteristic (ROC) curve analysis as well as free-response receiver operating characteristic (FROC) curve analysis. A modified computer-aided detection system combining the proposed approach with the SER method is also presented. The proposed method provides improvements in the rates of false positive markings over the SER method in the detection of breast cancer (as assessed by FROC analysis). The modified computer-aided detection system that incorporates both the proposed method and the SER method yields ROC results equal to that produced by SER while simultaneously providing improvements over the SER method in terms of false positives per noncancerous exam. The proposed method for identifying malignancies outperforms the SER method in terms of false positives on a challenging dataset containing many small lesions and may play a useful role in breast cancer screening by MRI as part of a computer-aided detection system.

  4. Computer-aided detection of lung cancer: combining pulmonary nodule detection systems with a tumor risk prediction model

    NASA Astrophysics Data System (ADS)

    Setio, Arnaud A. A.; Jacobs, Colin; Ciompi, Francesco; van Riel, Sarah J.; Winkler Wille, Mathilde M.; Dirksen, Asger; van Rikxoort, Eva M.; van Ginneken, Bram

    2015-03-01

    Computer-Aided Detection (CAD) has been shown to be a promising tool for automatic detection of pulmonary nodules from computed tomography (CT) images. However, the vast majority of detected nodules are benign and do not require any treatment. For effective implementation of lung cancer screening programs, accurate identification of malignant nodules is the key. We investigate strategies to improve the performance of a CAD system in detecting nodules with a high probability of being cancers. Two strategies were proposed: (1) combining CAD detections with a recently published lung cancer risk prediction model and (2) the combination of multiple CAD systems. First, CAD systems were used to detect the nodules. Each CAD system produces markers with a certain degree of suspicion. Next, the malignancy probability was automatically computed for each marker, given nodule characteristics measured by the CAD system. Last, CAD degree of suspicion and malignancy probability were combined using the product rule. We evaluated the method using 62 nodules which were proven to be malignant cancers, from 180 scans of the Danish Lung Cancer Screening Trial. The malignant nodules were considered as positive samples, while all other findings were considered negative. Using a product rule, the best proposed system achieved an improvement in sensitivity, compared to the best individual CAD system, from 41.9% to 72.6% at 2 false positives (FPs)/scan and from 56.5% to 88.7% at 8 FPs/scan. Our experiment shows that combining a nodule malignancy probability with multiple CAD systems can increase the performance of computerized detection of lung cancer.

  5. Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning.

    PubMed

    Shin, Hoo-Chang; Roth, Holger R; Gao, Mingchen; Lu, Le; Xu, Ziyue; Nogues, Isabella; Yao, Jianhua; Mollura, Daniel; Summers, Ronald M

    2016-05-01

    Remarkable progress has been made in image recognition, primarily due to the availability of large-scale annotated datasets and deep convolutional neural networks (CNNs). CNNs enable learning data-driven, highly representative, hierarchical image features from sufficient training data. However, obtaining datasets as comprehensively annotated as ImageNet in the medical imaging domain remains a challenge. There are currently three major techniques that successfully employ CNNs to medical image classification: training the CNN from scratch, using off-the-shelf pre-trained CNN features, and conducting unsupervised CNN pre-training with supervised fine-tuning. Another effective method is transfer learning, i.e., fine-tuning CNN models pre-trained from natural image dataset to medical image tasks. In this paper, we exploit three important, but previously understudied factors of employing deep convolutional neural networks to computer-aided detection problems. We first explore and evaluate different CNN architectures. The studied models contain 5 thousand to 160 million parameters, and vary in numbers of layers. We then evaluate the influence of dataset scale and spatial image context on performance. Finally, we examine when and why transfer learning from pre-trained ImageNet (via fine-tuning) can be useful. We study two specific computer-aided detection (CADe) problems, namely thoraco-abdominal lymph node (LN) detection and interstitial lung disease (ILD) classification. We achieve the state-of-the-art performance on the mediastinal LN detection, and report the first five-fold cross-validation classification results on predicting axial CT slices with ILD categories. Our extensive empirical evaluation, CNN model analysis and valuable insights can be extended to the design of high performance CAD systems for other medical imaging tasks.

  6. Computer-aided detection of breast masses on mammograms: bilateral analysis for false positive reduction

    NASA Astrophysics Data System (ADS)

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

    2006-03-01

    In this study, our purpose was to develop a false positive (FP) reduction method for computerized mass detection systems based on the analysis of bilateral mammograms. We first detect the mass candidates on each view by utilizing our unilateral computer-aided detection (CAD) system. For each detected object, the regional registration technique is used to define a region of interest (ROI) that is "symmetrical" to the object location on the contralateral mammogram. Spatial gray level dependence matrices (SGLD) texture features and morphological features are extracted from both the ROI containing the detected object on a mammogram and its corresponding ROI on the contralateral mammogram. Bilateral features are then generated from the extracted unilateral features and a final bilateral score is formed as a new feature to differentiate symmetric from asymmetric ROIs. By incorporating the unilateral features of the mass candidates and their bilateral scores, a bilateral classifier was trained to reduce the FPs. It was found that our bilateral CAD system achieved a case-based sensitivity of 70%, 80%, and 85% at 0.52, 0.83, and 1.05 FPs/image on the test data set. In comparison to the FP rates for the unilateral CAD system of 0.67, 1.11, and 1.69, respectively, at the corresponding sensitivities, the FP rates were reduced by 22%, 25%, and 37% with the bilateral symmetry information.

  7. Combining two mammographic projections in a computer aided mass detection method.

    PubMed

    van Engeland, Saskia; Karssemeijer, Nico

    2007-03-01

    A method is presented to improve computer aided detection (CAD) results for masses in mammograms by fusing information obtained from two views of the same breast. It is based on a previously developed approach to link potentially suspicious regions in mediolateral oblique (MLO) and craniocaudal (CC) views. Using correspondence between regions, we extended our CAD scheme by building a cascaded multiple-classifier system, in which the last stage computes suspiciousness of an initially detected region conditional on the existence and similarity of a linked candidate region in the other view. We compared the two-view detection system with the single-view detection method using free-response receiver operating characteristic (FROC) analysis and cross validation. The dataset used in the evaluation consisted of 948 four-view mammograms, including 412 cancer cases with a mass, architectural distortion, or asymmetry. A statistically significant improvement was found in the lesion based detection performance. At a false positive (FP) rate of 0.1 FP/image, the lesion sensitivity improved from 56% to 61%. Case based sensitivity did not improve.

  8. Combining two mammographic projections in a computer aided mass detection method

    SciTech Connect

    Engeland, Saskia van; Karssemeijer, Nico

    2007-03-15

    A method is presented to improve computer aided detection (CAD) results for masses in mammograms by fusing information obtained from two views of the same breast. It is based on a previously developed approach to link potentially suspicious regions in mediolateral oblique (MLO) and craniocaudal (CC) views. Using correspondence between regions, we extended our CAD scheme by building a cascaded multiple-classifier system, in which the last stage computes suspiciousness of an initially detected region conditional on the existence and similarity of a linked candidate region in the other view. We compared the two-view detection system with the single-view detection method using free-response receiver operating characteristic (FROC) analysis and cross validation. The dataset used in the evaluation consisted of 948 four-view mammograms, including 412 cancer cases with a mass, architectural distortion, or asymmetry. A statistically significant improvement was found in the lesion based detection performance. At a false positive (FP) rate of 0.1 FP/image, the lesion sensitivity improved from 56% to 61%. Case based sensitivity did not improve.

  9. Limiting Cumulative HIV Viremia Copy-Years by Early Treatment Reduces Risk of AIDS and Death

    PubMed Central

    Walker, A. Sarah; Suthar, Amitabh B.; Sabin, Caroline; Bucher, Heiner C.; Jarrin, Inma; Moreno, Santiago; Perez-Hoyos, Santiago; Porter, Kholoud; Ford, Deborah

    2016-01-01

    Background: Viremia copy-years (VCY), a time-updated measure of cumulative HIV exposure, predicts AIDS/death; although its utility in deciding when to start combination antiretroviral therapy (cART) remains unclear. We aimed to assess the impact of initiating versus deferring cART on risk of AIDS/death by levels of VCY both independent of and within CD4 cell count strata ≥500 cells per cubic millimeter. Methods: Using Concerted Action on Seroconversion to AIDS and Death in Europe (CASCADE) data, we created a series of nested “trials” corresponding to consecutive months for individuals ≥16 years at seroconversion after 1995 who were cART-naive and AIDS-free. Pooling across all trials, time to AIDS/death by CD4, and VCY strata was compared in those initiating vs. deferring cART using Cox models adjusted for: country, sex, risk group, seroconversion year, age, time since last HIV-RNA, and current CD4, VCY, HIV-RNA, and mean number of previous CD4/HIV-RNA measurements/year. Results: Of 9353 individuals, 5312 (57%) initiated cART and 486 (5%) acquired AIDS/died. Pooling CD4 strata, risk of AIDS/death associated with initiating vs. deferring cART reduced as VCY increased. In patients with high CD4 cell counts, ≥500 cells per cubic millimeter, there was a trend for a greater reduction for those initiating vs. deferring with increasing VCY (P = 0.09), with the largest benefit in the VCY ≥100,000 copy-years/mL group [hazard ratio (95% CI) = 0.41 (0.19 to 0.87)]. Conclusions: For individuals with CD4 ≥500 cells per cubic millimeter, limiting the cumulative HIV burden to <100,000 copy-years/mL through cART may reduce the risk of AIDS/death. PMID:27116045

  10. Differential neural mechanisms for early and late prediction error detection

    PubMed Central

    Malekshahi, Rahim; Seth, Anil; Papanikolaou, Amalia; Mathews, Zenon; Birbaumer, Niels; Verschure, Paul F. M. J.; Caria, Andrea

    2016-01-01

    Emerging evidence indicates that prediction, instantiated at different perceptual levels, facilitate visual processing and enable prompt and appropriate reactions. Until now, the mechanisms underlying the effect of predictive coding at different stages of visual processing have still remained unclear. Here, we aimed to investigate early and late processing of spatial prediction violation by performing combined recordings of saccadic eye movements and fast event-related fMRI during a continuous visual detection task. Psychophysical reverse correlation analysis revealed that the degree of mismatch between current perceptual input and prior expectations is mainly processed at late rather than early stage, which is instead responsible for fast but general prediction error detection. Furthermore, our results suggest that conscious late detection of deviant stimuli is elicited by the assessment of prediction error’s extent more than by prediction error per se. Functional MRI and functional connectivity data analyses indicated that higher-level brain systems interactions modulate conscious detection of prediction error through top-down processes for the analysis of its representational content, and possibly regulate subsequent adaptation of predictive models. Overall, our experimental paradigm allowed to dissect explicit from implicit behavioral and neural responses to deviant stimuli in terms of their reliance on predictive models. PMID:27079423

  11. [Early detection of cervical cancer in Chile: time for change].

    PubMed

    Léniz Martelli, Javiera; Van De Wyngard, Vanessa; Lagos, Marcela; Barriga, María Isabel; Puschel Illanes, Klaus; Ferreccio Readi, Catterina

    2014-08-01

    Mortality rates for cervical cancer (CC) in Chile are higher than those of developed countries and it has an unequal socioeconomic distribution. The recognition of human papilloma virus (HPV) as the causal agent of cervical cancer in the early 80's changed the prevention paradigms. Current goals are to prevent HPV infection by vaccination before the onset of sexual activity and to detect HPV infection in women older than 30 years. This article reviews CC prevention and early detection methods, discusses relevant evidence to support a change in Chile and presents an innovation proposal. A strategy of primary screening based on HPV detection followed by triage of HPV-positive women by colposcopy in primary care or by cytological or molecular reflex testing is proposed. Due to the existence in Chile of a well-organized nationwide CC prevention program, the replacement of a low-sensitivity screening test such as the Papanicolau test with a highly sensitive one such as HPV detection, could quickly improve the effectiveness of the program. The program also has a network of personnel qualified to conduct naked-eye inspections of the cervix, who could easily be trained to perform triage colposcopy. The incorporation of new prevention strategies could reduce the deaths of Chilean women and correct inequities.

  12. Detecting true and false opinions: The Devil's Advocate approach as a lie detection aid.

    PubMed

    Leal, Sharon; Vrij, Aldert; Mann, Samantha; Fisher, Ronald P

    2010-07-01

    We examined the efficacy of a new approach to detect truths and lies in expressing opinions: the Devil's Advocate approach. Interviewees are first asked an opinion eliciting question that asks participants to argue in favour of their personal view. This is followed by a Devil's Advocate question that asks participants to argue against their personal view. People normally think more about reasons that support rather than oppose their opinion. Therefore we expected truth tellers to provide more information and shorter latency times in their responses to the opinion eliciting question than to the Devil's Advocate question. Liars are expected to reveal the opposite pattern as the Devil's Advocate question is more compatible with their beliefs than is the opinion eliciting question. In Experiment 1, we interviewed seventeen truth tellers and liars via the Devil's Advocate approach and measured the difference in number of words and latency times to the two questions. Our hypotheses were supported. In Experiment 2, 25 observers were shown these interviews, and made qualitative judgements about the statements. Truth tellers' opinion eliciting answers were seen as more immediate and plausible and revealed more emotional involvement than their Devil's Advocate answers. No clear differences emerged in liars' answers to the two types of question. We conclude that the Devil's Advocate approach is a promising lie detection approach that deserves attention in future research.

  13. Development of serum parameters panels for the early detection of pancreatic cancer.

    PubMed

    Zhang, Pengjun; Zou, Meng; Wen, Xinyu; Gu, Feng; Li, Juan; Liu, Gaixia; Dong, Jingxiao; Deng, Xinxin; Gao, Jing; Li, Xiaolong; Jia, Xingwang; Dong, Zhennan; Chen, Luonan; Wang, Yong; Tian, Yaping

    2014-06-01

    Early detection of pancreatic cancer is promising for improving clinical outcome; however, no effective biomarker has yet been identified. Here, we detected 61 clinical serum parameters in 200 healthy controls (Ctrls), 163 pancreatic ductal adenocarcinoma (PDAC) patients and 109 benign pancreatitis patients (Benign) in the training group. A metropolis algorithm with Monte Carlo simulation was used for identifying parameter panels. Sera from 183 Ctrl, 129 PDAC and 95 Benign individuals were used for cross-validation. Samples from 77 breast, 72 cervical, 101 colorectal, 138 gastric, 108 prostate and 132 lung cancer patients were collected for evaluating cancer selectivity. A panel consisting of carbohydrate antigen (CA)19-9, albumin (ALB), C-reactive protein (CRP) and interleukin (IL)-8 had the highest diagnostic value for discriminating between PDAC and Ctrl. The sensitivity (SN) was 99.39% for all-stage, 96.10% for early-stage and 98.80% for advanced-stage PDAC at 90% specificity (SP). In the validation group, the sensitivities were 93.80, 93.10 and 94.40%, respectively, at 90% SP. This panel also identified 80.52% of the breast cancer, 66.67% cervical cancer, 86.14% colorectal cancer, 89.86% gastric cancer, 71.30% prostate cancer and 93.85% lung cancer samples as non-PDAC. The panel consisting of CA19-9, carbon dioxide, CRP and IL-6 panel had the highest diagnostic value for discriminating between PDAC and Benign. The SN was 74.23% for all-stage, 75.30% for early-stage and 74.40% for advanced-stage PDAC at 90% SP. In the validation group, the sensitivities were 72.10, 76.10 and 67.20%, respectively, at 90% SP. Our parameter panels may aid in the early detection of PDAC to improve clinical outcome.

  14. Early detection of radioactive fallout by gamma spectrometry.

    PubMed

    Aage, H K; Korsbech, U; Bargholz, K

    2003-01-01

    Radioactive fallout should be detected as early as possible. A new and efficient method for detection of low-level irradiation from manmade radioactivity is developed. Radiation abnormalities are detectable down to air kerma rates of 0.5 to 1.0 nGy h(-1) for 137Cs and even lower for 131I. For multi-gamma energy radioactivity the detection level is 2.6-3.5 nGy h(-1). A standard NaI detector and a 512-channel analyser are used together with noise adjusted singular value decomposition (NASVD). Statistical noise is removed and the measured spectra are reproduced using spectral components produced by NASVD. Stripping is not used and false alarms due to washout of atmospheric radon progeny are almost eliminated. Detection levels and the criteria for setting warning and alarm levels are discussed. The method may also be useful in other situations, for example where low-level signals from radioactive sources need to be detected.

  15. Multiview-based computer-aided detection scheme for breast masses

    SciTech Connect

    Zheng Bin; Leader, Joseph K.; Abrams, Gordon S.; Lu, Amy H.; Wallace, Luisa P.; Maitz, Glenn S.; Gur, David

    2006-09-15

    In this study, we developed and tested a new multiview-based computer-aided detection (CAD) scheme that aims to maintain the same case-based sensitivity level as a single-image-based scheme while substantially increasing the number of masses being detected on both ipsilateral views. An image database of 450 four-view examinations (1800 images) was assembled. In this database, 250 cases depicted malignant masses, of which 236 masses were visible on both views and 14 masses were visible only on one view. First, we detected suspected mass regions depicted on each image in the database using a single-image-based CAD. For each identified region (with detection score{>=}0.55), we then identified a matching strip of interest on the ipsilateral view based on the projected distance to the nipple along the centerline. By lowering CAD operating threshold inside the matching strip, we searched for a region located inside the strip and paired it with the original region. A multifeature-based artificial neural network scored the likelihood of the paired ''matched'' regions representing true-positive masses. All single (unmatched) regions except for those either with very high detection scores ({>=}0.85) or those located near the chest wall that cannot be matched on the other view were discarded. The original single-image-based CAD scheme detected 186 masses (74.4% case-based sensitivity) and 593 false-positive regions. Of the 186 identified masses, 91 were detected on two views (48.9%) and 95 were detected only on one view (51.1%). Of the false-positive detections, 54 were paired on the ipsilateral view inside the corresponding matching strips and the remaining 485 were not, which represented 539 case-based false-positive detections (0.3 per image). Applying the multiview-based CAD scheme, the same case-based sensitivity was maintained while cueing 169 of 186 masses (90.9%) on both views and at the same time reducing the case-based false-positive detection rate by 23.7% (from

  16. Computer-aided detection of polyps in CT colonography based on geometric features

    NASA Astrophysics Data System (ADS)

    Yoshida, Hiroyuki; Masutani, Yoshitaka; MacEneaney, Peter; Dachman, Abraham H.

    2001-05-01

    CT colonography is a promising technique with a long-term goal to provide mass screening for colorectal carcinoma. Colorectal screening by CT colonography requires that the examination be cost-effective. The correct interpretation time is excessive for a screening test. Therefore, a computerized detection method capable of indicating regions of suspicion is attractive as a diagnostic aid for radiologists. We have developed a new CAD scheme for automated detection of polyps based on CT colonographic data sets. Our method characterizes polyps by geometric features of volumetric data including the volumetric shape index and curvedness. Polyps were detected by fuzzy clustering in a feature space generated by the feature values and spatial coordinates, followed by a rule-based test in the feature space. In an analysis of 41 patients, 9 of whom had at least one biopsy-proved polyp, our CAD scheme detected 100% of polyps with 2.5 false positives per patient. Our preliminary result indicates that the CAD scheme is potentially useful for highlighting areas of suspicion in the colon and, therefore, facilitates widespread screening by reducing the reading time substantially.

  17. Computer-aided diagnosis in CT colonography: detection of polyps based on geometric and texture features

    NASA Astrophysics Data System (ADS)

    Yoshida, Hiroyuki; Naeppi, Janne J.; Frimmel, Hans; Dachman, Abraham H.

    2002-05-01

    A computer-aided diagnosis scheme for the detection of colonic polyps in CT colonography has been developed, and its performance has been assessed based on clinical cases with colonoscopy-confirmed polyps. In the scheme, the colon was automatically segmented by use of knowledge-guided segmentation from 3-dimensional isotropic volumes reconstructed from axial CT slices in CT colonography. Polyp candidates are detected by first computing of 3-dimensional geometric features that characterize polyps, and then segmenting of connected components corresponding to suspicious regions by hysteresis thresholding and fuzzy clustering based on these geometric features. False-positive detections are reduced by computation of 3-dimensional texture features characterizing the internal structures of the polyp candidates, followed by application of discriminant analysis to the feature space generated by the geometric and texture features. We applied our scheme to 43 CT colonographic cases with cleansed colon, including 12 polyps larger than 5 mm. In a by-dataset analysis, the CAD scheme yielded a sensitivity of 95% with 1.2 false positives per data set. The false negative was one of the two polyps in a single patient. Consequently, in by-patient analysis, our method yielded 100% sensitivity with 2.0 false positives per patient. The results indicate that our CAD scheme has the potential to detect clinically important polyp cases with a high sensitivity and a relatively low false-positive rate.

  18. Early detection of COPD is important for lung cancer surveillance.

    PubMed

    Sekine, Yasuo; Katsura, Hideki; Koh, Eitetsu; Hiroshima, Kenzo; Fujisawa, Takehiko

    2012-05-01

    It is well known that chronic obstructive pulmonary disease (COPD) is a significant risk factor for lung cancer. Approximately 1% of COPD patients develop lung cancer every year, which may be associated with genetic susceptibility to cigarette smoke. Chronic inflammation caused by toxic gases can induce COPD and lung cancer. Inflammatory mediators may promote the growth of bronchioalveolar stem cells, and activation of nuclear factor-κB and signal transducer and activator of transcription 3 play crucial roles in the development of lung cancer from COPD. Low-dose computed tomography (LDCT) is an effective procedure for the early detection of lung cancer in high-risk patients. However, determining which patients should be screened for lung cancer in a primary care setting is difficult. In this article, we review the epidemiology and aetiology of lung cancer associated with COPD, verify the efficacy of lung cancer screening by LDCT, and discuss the importance of early detection of COPD for lung cancer surveillance. We propose that, for the prevention of both diseases, COPD screening in smokers should be initiated as early as possible, so they can stop smoking and so that candidates for an efficient lung cancer screening programme can be identified.

  19. Comparison of pp65 antigenemia, quantitative PCR and DNA hybrid capture for detection of cytomegalovirus in transplant recipients and AIDS patients.

    PubMed

    Mhiri, Leila; Kaabi, Belhassen; Houimel, Mehdi; Arrouji, Zakia; Slim, Amine

    2007-07-01

    The cytomegalovirus (CMV) antigenemia assay has been used frequently for rapid diagnosis of CMV infection, and antigenemia threshold values are recommended for triggering preemptive therapy. Hybrid capture of CMV's DNA and quantitative polymerase chain reaction (qPCR) are increasingly being adopted for early detection of CMV. The performance of the antigenemia assay, qPCR in plasma and hybrid capture in leukocytes were compared in 110 immunocompromised patients (38 bone-marrow transplants, 50 renal transplants and 22 AIDS patients). The most sensitive test was hybrid capture for transplants, while antigenemia and the qPCR showed similar performance for patients with AIDS. QPCR and hybrid capture thresholds requiring antiviral therapy were calculated using a receiver-operating-characteristic curve for antigenemia values corresponding to 2 positive cells for bone-marrow transplants and to 10 positive cells for renal transplants and AIDS patients. These threshold values varied with the group of patients considered, with corresponding sensitivities higher than 86% and specificities higher than 76% for hybrid capture, and sensitivities higher than 61% and specificities higher than 75% for qPCR in plasma. Hybrid capture in leukocytes can substitute for antigenemia in the case of transplants, and qPCR in plasma can substitute for it in the case of AIDS patients.

  20. Dynamic linear models using the Kalman filter for early detection and early warning of malaria outbreaks

    NASA Astrophysics Data System (ADS)

    Merkord, C. L.; Liu, Y.; DeVos, M.; Wimberly, M. C.

    2015-12-01

    Malaria early detection and early warning systems are important tools for public health decision makers in regions where malaria transmission is seasonal and varies from year to year with fluctuations in rainfall and temperature. Here we present a new data-driven dynamic linear model based on the Kalman filter with time-varying coefficients that are used to identify malaria outbreaks as they occur (early detection) and predict the location and timing of future outbreaks (early warning). We fit linear models of malaria incidence with trend and Fourier form seasonal components using three years of weekly malaria case data from 30 districts in the Amhara Region of Ethiopia. We identified past outbreaks by comparing the modeled prediction envelopes with observed case data. Preliminary results demonstrated the potential for improved accuracy and timeliness over commonly-used methods in which thresholds are based on simpler summary statistics of historical data. Other benefits of the dynamic linear modeling approach include robustness to missing data and the ability to fit models with relatively few years of training data. To predict future outbreaks, we started with the early detection model for each district and added a regression component based on satellite-derived environmental predictor variables including precipitation data from the Tropical Rainfall Measuring Mission (TRMM) and land surface temperature (LST) and spectral indices from the Moderate Resolution Imaging Spectroradiometer (MODIS). We included lagged environmental predictors in the regression component of the model, with lags chosen based on cross-correlation of the one-step-ahead forecast errors from the first model. Our results suggest that predictions of future malaria outbreaks can be improved by incorporating lagged environmental predictors.

  1. Computer-aided detection of masses in digital tomosynthesis mammography: combination of 3D and 2D detection information

    NASA Astrophysics Data System (ADS)

    Chan, Heang-Ping; Wei, Jun; Zhang, Yiheng; Moore, Richard H.; Kopans, Daniel B.; Hadjiiski, Lubomir; Sahiner, Berkman; Roubidoux, Marilyn A.; Helvie, Mark A.

    2007-03-01

    We are developing a computer-aided detection (CAD) system for masses on digital breast tomosynthesis mammograms (DBTs). The CAD system includes two parallel processes. In the first process, mass detection and feature analysis are performed in the reconstructed 3D DBT volume. A mass likelihood score is estimated for each mass candidate using a linear discriminant (LDA) classifier. In the second process, mass detection and feature analysis are applied to the individual projection view (PV) images. A mass likelihood score is estimated for each mass candidate using another LDA classifier. The mass likelihood images derived from the PVs are back-projected to the breast volume to estimate the 3D spatial distribution of the mass likelihood scores. The mass likelihood scores estimated by the two processes at the corresponding 3D location are then merged and evaluated using FROC analysis. In this preliminary study, a data set of 52 DBT cases acquired with a GE prototype system at the Massachusetts General Hospital was used. The LDA classifiers with stepwise feature selection were designed with leave-one-case-out resampling. In an FROC analysis, the CAD system for detection in the DBT volume alone achieved test sensitivities of 80% and 90% at an average FP rate of 1.6 and 3.0 per breast, respectively. In comparison, the average FP rates of the combined system were 1.2 and 2.3 per breast, respectively, at the same sensitivities. The combined system is a promising approach to improving mass detection on DBTs.

  2. Detection of abnormalities in febrile AIDS patients with In-111-labeled leukocyte and Ga-67 scintigraphy

    SciTech Connect

    Fineman, D.S.; Palestro, C.J.; Kim, C.K.; Needle, L.B.; Vallabhajosula, S.; Solomon, R.W.; Goldsmith, S.J.

    1989-03-01

    Thirty-six patients with acquired immunodeficiency syndrome (AIDS), who were febrile but without localizing signs, underwent indium-111 leukocyte scintigraphy 24 hours after injection of labeled white blood cells (WBCs) and were restudied 48 hours after injection of gallium-67 citrate. Fifty-six abnormalities were identified as possible sources of the fever; 27 were confirmed with biopsy. Of these 27, 15 were identified only on In-111 WBC scans (including colitis, sinusitis, and focal bacterial pneumonia); six, only on Ga-67 scans (predominantly Pneumocystis carinii pneumonia and lymphadenopathy); and six, on both studies (predominantly pulmonary lesions). In-111 WBC scanning revealed 21 of 27 abnormalities (78%) and gallium scanning, 12 of 27 (44%). If only one scintigraphic study has been performed, particularly with Ga-67, a significant number of lesions would not have been detected. The authors believe radionuclide evaluation of the febrile AIDS patient without localizing signs should begin with In-111 WBC scintigraphy. Gallium scanning may be used depending on results of In-111 WBC scans or if there is a high index of suspicion for P carinii pneumonia.

  3. On early detection of strong infections in complex networks

    NASA Astrophysics Data System (ADS)

    Yu, Yi; Xiao, Gaoxi

    2014-02-01

    Various complex systems are exposed to different kinds of infections ranging from computer viruses to rumors. An intuitive solution for limiting the damages caused by such infections is to detect the infection spreading as early as possible and then take necessary actions. In this paper, we study on how much we may expect to achieve in infection control by deploying a number of monitors in complex networks for detecting the outbreak of a strong infection at its early stage. Specifically, we consider the problem of finding the optimal locations for a given number of monitors in order to minimize the worst-case infection size. The NP-hardness of the problem is proved and a heuristic algorithm is proposed. Extensive simulations on both synthetic and real-life networks show that the worst-case infection size may be put under control by deploying a moderate number of monitors in a large complex network. Effects of a few different factors, including transmissibility of the infection, network topology and probability of detection failure, are also evaluated.

  4. Detection of early plant stress responses in hyperspectral images

    NASA Astrophysics Data System (ADS)

    Behmann, Jan; Steinrücken, Jörg; Plümer, Lutz

    2014-07-01

    Early stress detection in crop plants is highly relevant, but hard to achieve. We hypothesize that close range hyperspectral imaging is able to uncover stress related processes non-destructively in the early stages which are invisible to the human eye. We propose an approach which combines unsupervised and supervised methods in order to identify several stages of progressive stress development from series of hyperspectral images. Stress of an entire plant is detected by stress response levels at pixel scale. The focus is on drought stress in barley (Hordeum vulgare). Unsupervised learning is used to separate hyperspectral signatures into clusters related to different stages of stress response and progressive senescence. Whereas all such signatures may be found in both, well watered and drought stressed plants, their respective distributions differ. Ordinal classification with Support Vector Machines (SVM) is used to quantify and visualize the distribution of progressive stages of senescence and to separate well watered from drought stressed plants. For each senescence stage a distinctive set of most relevant Vegetation Indices (VIs) is identified. The method has been applied on two experiments involving potted barley plants under well watered and drought stress conditions in a greenhouse. Drought stress is detected up to ten days earlier than using NDVI. Furthermore, it is shown that some VIs have overall relevance, while others are specific to particular senescence stages. The transferability of the method to the field is illustrated by an experiment on maize (Zea mays).

  5. A Pilot Randomized Trial of a Video Patient Decision Aid to Facilitate Early Intervention Referrals From Primary Care.

    PubMed

    Jimenez, Manuel E; DuRivage, Nathalie E; Bezpalko, Orysia; Suh, Andrew; Wade, Roy; Blum, Nathan J; Fiks, Alexander G

    2017-03-01

    Many young children identified with developmental concerns in pediatric settings do not receive early intervention (EI). We assessed the impact of a video decision aid and text message reminder on knowledge and attitudes regarding developmental delay and EI as well as referral completion. We conducted a pilot randomized controlled trial in an urban setting and enrolled 64 parent-child dyads referred to EI. Compared with controls, participants who received the intervention demonstrated increased knowledge regarding developmental delay and EI as well as more favorable attitudes in certain topics. Although we did not find a significant difference between arms in EI intake and evaluation, we found a pattern suggestive of increased intake and evaluation among participants with low health literacy in the intervention arm. Additional study is needed to identify strategies that improve the EI referral process for families and to understand the potential targeted role for decision aids and text messages.

  6. Early bactericidal activity of rifabutin versus that of placebo in treatment of disseminated Mycobacterium avium complex bacteremia in AIDS patients.

    PubMed Central

    Dautzenberg, B; Castellani, P; Pellegrin, J L; Vittecoq, D; Truffot-Pernot, C; Pirotta, N; Sassella, D

    1996-01-01

    Rifabutin, 600 mg/day, was compared with a placebo in the early treatment of culture-proven Mycobacterium avium bacteremia in patients with AIDS. Following 14 days' treatment, bacteriological success, defined as a negative culture or a reduction in the number of CFU of M. avium organisms per milliliter of blood by a factor of > or = 0.5 log from the baseline, was observed in 7 of 10 (70%) evaluable rifabutin patients and in 1 of 13 (8%) evaluable placebo patients (P = 0.002). Rifabutin is active against M. avium as a single agent and can make a significant contribution to combination regimens for the treatment of disseminated M. avium infection in AIDS patients. PMID:8807071

  7. Early Attempts to Detect the Neutrino at the Cavendish Laboratory

    NASA Astrophysics Data System (ADS)

    Navarro, Jaume

    2006-03-01

    In the 1920s and early 1930s the Cavendish Laboratory in Cambridge was preeminent in experimental research on radioactivity and nuclear physics, with theoretical physics playing a subsidiary role in guiding, but not determining the course of experimental research. Soon after Wolfgang Pauli (1900 1958) proposed his neutrino hypothesis in 1930 to preserve conservation of energy and momentum in beta decay, experiments the first of their kind were carried out in the Cavendish Laboratory to detect Pauli’s elusive particle, but they were abandoned in 1936. I trace these early attempts and suggest reasons for their abandonment, which may contribute to an understanding of the complex way in which theoretical entities are accepted by physicists.

  8. Computer-aided Detection Fidelity of Pulmonary Nodules in Chest Radiograph

    PubMed Central

    Dellios, Nikolaos; Teichgraeber, Ulf; Chelaru, Robert; Malich, Ansgar; Papageorgiou, Ismini E

    2017-01-01

    Aim: The most ubiquitous chest diagnostic method is the chest radiograph. A common radiographic finding, quite often incidental, is the nodular pulmonary lesion. The detection of small lesions out of complex parenchymal structure is a daily clinical challenge. In this study, we investigate the efficacy of the computer-aided detection (CAD) software package SoftView™ 2.4A for bone suppression and OnGuard™ 5.2 (Riverain Technologies, Miamisburg, OH, USA) for automated detection of pulmonary nodules in chest radiographs. Subjects and Methods: We retrospectively evaluated a dataset of 100 posteroanterior chest radiographs with pulmonary nodular lesions ranging from 5 to 85 mm. All nodules were confirmed with a consecutive computed tomography scan and histologically classified as 75% malignant. The number of detected lesions by observation in unprocessed images was compared to the number and dignity of CAD-detected lesions in bone-suppressed images (BSIs). Results: SoftView™ BSI does not affect the objective lesion-to-background contrast. OnGuard™ has a stand-alone sensitivity of 62% and specificity of 58% for nodular lesion detection in chest radiographs. The false positive rate is 0.88/image and the false negative (FN) rate is 0.35/image. From the true positive lesions, 20% were proven benign and 80% were malignant. FN lesions were 47% benign and 53% malignant. Conclusion: We conclude that CAD does not qualify for a stand-alone standard of diagnosis. The use of CAD accompanied with a critical radiological assessment of the software suggested pattern appears more realistic. Accordingly, it is essential to focus on studies assessing the quality-time-cost profile of real-time (as opposed to retrospective) CAD implementation in clinical diagnostics. PMID:28299236

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

    NASA Astrophysics Data System (ADS)

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

    2005-04-01

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

  10. Early detection of invasive plants: principles and practices

    USGS Publications Warehouse

    Welch, Bradley A.; Geissler, Paul H.; Latham, Penelope

    2014-01-01

    Invasive plants infest an estimated 2.6 million acres of the 83 million acres managed by the National Park Service (NPS) in the United States. The consequences of these invasions present a significant challenge for the NPS to manage the agency’s natural resources “unimpaired for the enjoyment of future generations.” More NPS lands are infested daily despite diligent efforts to curtail the problem. Impacts from invasive species have been realized in most parks, resulting in an expressed need to control existing infestations and restore affected ecosystems. There is a growing urgency in the NPS and other resource management organizations to be proactive. The NPS I&M Program, in collaboration with the U.S. Geological Survey (USGS) Status and Trends Program, compiled this document to provide guidance and insight to parks and other natural areas engaged in developing early-detection monitoring protocols for invasive plants. While several rapid response frameworks exist, there is no consistent or comprehensive guidance informing the active detection of nonnative plants early in the invasion process. Early-detection was selected as a primary focus for invasive-species monitoring because, along with rapid response, it is a key strategy for successful management of invasive species. Eradication efforts are most successful on small infestations (that is less than 1 hectare) and become less successful as infestation size increases, to the point that eradication is unlikely for large (that is greater than 1,000 hectares) populations of invasive plants. This document provides guidance for natural resource managers wishing to detect invasive plants early through an active, directed monitoring program. It has a Quick-Start Guide to direct readers to specific chapters and text relevant to their needs. Decision trees and flow charts assist the reader in deciding what methods to choose and when to use them. This document is written in a modular format to accommodate use of

  11. Detection of smoke plume for a land-based early forest fire detection system

    NASA Astrophysics Data System (ADS)

    Saghri, John; Jacobs, John; Davenport, Tim; Garges, David

    2015-09-01

    A promising daytime smoke plume detection for a land-based early forest fire detection system is proposed. The visible video imagery from a land-based monitoring camera is processed to detect the smoke which likely rises in an early stage of a forest fire. Unlike the fire core and its surrounding heat which are detected via day/night infrared imaging, the relatively cold smoke plume can only be captured in the visible spectrum of light. The smoke plume is detected via exploitation of its temporal signature. This is accomplished via Principal Component Transformation (PCT) operations on consecutive sequences of visible video frames followed by spatial filtering of one of the resulting low-order Principal Component (PC) images. It is shown that the blue channel of the Red, Green, Blue (RGB) color camera is most effective in detecting the smoke plume. Smoke plume is clearly detected and isolated via simple blurring, thresholding, and median filtering of one of the resulting low-order principle component (PC) images. The robustness of this PCA-based method relative to simple temporal frame differencing and use of color, i.e., visible spectral signature of smoke, are discussed. Various parameters of the system including the required observation time and number of frames to retain for PCT, selection of which low-order PC to use, and types and sizes of the filters applied to the selected PC image to detect and isolate the smoke plume, are discussed.

  12. Analytical Validation of Telomerase Activity for Cancer Early Detection

    PubMed Central

    Jakupciak, John P.; Wang, Wendy; Barker, Peter E.; Srivastava, Sudhir; Atha, Donald H.

    2004-01-01

    Activation of telomerase plays a critical role in unlimited proliferation and immortalization of cells. Telomerase activity has been shown to correlate with tumor progression, indicating that tumors expressing this enzyme possess aggressive clinical behavior and that telomerase activity may be a useful biomarker for early detection of cancer. However, measurements of telomerase activity by current methods such as telomeric repeat amplification protocol (TRAP)/polymerase chain reaction (PCR) or antibody-based radioimmunoassay (RIA) are low-throughput and not robust enough to easily accommodate the required statistical analysis to determine whether telomerase activity is a practical biomarker. As part of the National Cancer Institute Early Detection Research Network of analytical validation, we have developed a robot assisted TRAP assay (RApidTRAP) of telomerase, a potential biomarker for cancer early detection. Measurements of human telomerase reverse transcriptase catalytic subunit (hTERT) mRNA were performed in concert with measurement of telomerase activity. For this purpose we determined hTERT mRNA concentration and telomerase activity in human normal (RPE-28) and cancer (A549) cell lines as well as in human serum (SRM 1951A). Telomerase activity measurements were made using the TRAP/PCR capillary electrophoresis (CE) method on (50 to 1000) cells/reaction isolated from cell extracts. Measurement of hTERT mRNA was made using specific primers and probes on a LightCycler in the range of (10 to 7000) cells/reaction. Comparison of high-throughput telomerase activity measurements using the robot and those performed manually were consistent in sensitivity and reproducibility. Using this combination of telomerase activity and hTERT mRNA measurements, the automated system improved efficiency over traditional TRAP/PCR methods. PMID:15269291

  13. Fast extraction of the backbone of projected bipartite networks to aid community detection

    NASA Astrophysics Data System (ADS)

    Liebig, J.; Rao, A.

    2016-01-01

    This paper introduces a computationally inexpensive method for extracting the backbone of one-mode networks projected from bipartite networks. We show that the edge weights in the one-mode projections are distributed according to a Poisson binomial distribution and that finding the expected weight distribution of a one-mode network projected from a random bipartite network only requires knowledge of the bipartite degree distributions. Being able to extract the backbone of a projection is highly beneficial in filtering out redundant information in large complex networks and narrowing down the information in the one-mode projection to the most relevant. We demonstrate that the backbone of a one-mode projection aids in the detection of communities.

  14. Wavelet-based EEG processing for computer-aided seizure detection and epilepsy diagnosis.

    PubMed

    Faust, Oliver; Acharya, U Rajendra; Adeli, Hojjat; Adeli, Amir

    2015-03-01

    Electroencephalography (EEG) is an important tool for studying the human brain activity and epileptic processes in particular. EEG signals provide important information about epileptogenic networks that must be analyzed and understood before the initiation of therapeutic procedures. Very small variations in EEG signals depict a definite type of brain abnormality. The challenge is to design and develop signal processing algorithms which extract this subtle information and use it for diagnosis, monitoring and treatment of patients with epilepsy. This paper presents a review of wavelet techniques for computer-aided seizure detection and epilepsy diagnosis with an emphasis on research reported during the past decade. A multiparadigm approach based on the integration of wavelets, nonlinear dynamics and chaos theory, and neural networks advanced by Adeli and associates is the most effective method for automated EEG-based diagnosis of epilepsy.

  15. Optical tomographic detection of rheumatoid arthritis with computer-aided classification schemes

    NASA Astrophysics Data System (ADS)

    Klose, Christian D.; Klose, Alexander D.; Netz, Uwe; Beuthan, Jürgen; Hielscher, Andreas H.

    2009-02-01

    A recent research study has shown that combining multiple parameters, drawn from optical tomographic images, leads to better classification results to identifying human finger joints that are affected or not affected by rheumatic arthritis RA. Building up on the research findings of the previous study, this article presents an advanced computer-aided classification approach for interpreting optical image data to detect RA in finger joints. Additional data are used including, for example, maximum and minimum values of the absorption coefficient as well as their ratios and image variances. Classification performances obtained by the proposed method were evaluated in terms of sensitivity, specificity, Youden index and area under the curve AUC. Results were compared to different benchmarks ("gold standard"): magnet resonance, ultrasound and clinical evaluation. Maximum accuracies (AUC=0.88) were reached when combining minimum/maximum-ratios and image variances and using ultrasound as gold standard.

  16. Method for early detection of cooling-loss events

    DOEpatents

    Bermudez, Sergio A.; Hamann, Hendrik F.; Marianno, Fernando J.

    2015-12-22

    A method of detecting cooling-loss event early is provided. The method includes defining a relative humidity limit and change threshold for a given space, measuring relative humidity in the given space, determining, with a processing unit, whether the measured relative humidity is within the defined relative humidity limit, generating a warning in an event the measured relative humidity is outside the defined relative humidity limit and determining whether a change in the measured relative humidity is less than the defined change threshold for the given space and generating an alarm in an event the change is greater than the defined change threshold.

  17. Method for early detection of cooling-loss events

    DOEpatents

    Bermudez, Sergio A.; Hamann, Hendrik; Marianno, Fernando J.

    2015-06-30

    A method of detecting cooling-loss event early is provided. The method includes defining a relative humidity limit and change threshold for a given space, measuring relative humidity in the given space, determining, with a processing unit, whether the measured relative humidity is within the defined relative humidity limit, generating a warning in an event the measured relative humidity is outside the defined relative humidity limit and determining whether a change in the measured relative humidity is less than the defined change threshold for the given space and generating an alarm in an event the change is greater than the defined change threshold.

  18. Early Oscillation Detection Technique for Hybrid DC/DC Converters

    NASA Technical Reports Server (NTRS)

    Wang, Bright L.

    2011-01-01

    Oscillation or instability is a situation that must be avoided for reliable hybrid DC/DC converters. A real-time electronics measurement technique was developed to detect catastrophic oscillations at early stages for hybrid DC/DC converters. It is capable of identifying low-level oscillation and determining the degree of the oscillation at a unique frequency for every individual model of the converters without disturbing their normal operations. This technique is specially developed for space-used hybrid DC/DC converters, but it is also suitable for most of commercial and military switching-mode power supplies. This is a weak-electronic-signal detection technique to detect hybrid DC/DC converter oscillation presented as a specific noise signal at power input pins. It is based on principles of feedback control loop oscillation and RF signal modulations, and is realized by using signal power spectral analysis. On the power spectrum, a channel power amplitude at characteristic frequency (CPcf) and a channel power amplitude at switching frequency (CPsw) are chosen as oscillation level indicators. If the converter is stable, the CPcf is a very small pulse and the CPsw is a larger, clear, single pulse. At early stage of oscillation, the CPcf increases to a certain level and the CPsw shows a small pair of sideband pulses around it. If the converter oscillates, the CPcf reaches to a higher level and the CPsw shows more high-level sideband pulses. A comprehensive stability index (CSI) is adopted as a quantitative measure to accurately assign a degree of stability to a specific DC/DC converter. The CSI is a ratio of normal and abnormal power spectral density, and can be calculated using specified and measured CPcf and CPsw data. The novel and unique feature of this technique is the use of power channel amplitudes at characteristic frequency and switching frequency to evaluate stability and identify oscillations at an early stage without interfering with a DC/DC converter s

  19. Computer aided boar semen motility analysis for cereulide detection in different food matrices.

    PubMed

    Rajkovic, Andreja; Uyttendaele, Mieke; Debevere, Johan

    2007-02-28

    Computer Aided Semen Analysis (CASA) study of the boar semen motility has been demonstrated to be an appropriate assay for detection of cereulide (Bacillus cereus emetic toxin). Application of the boar semen bio-assay to detect cereulide directly in foods requires investigation of potential interference of food components, preservatives and other microbial and chemical food contaminants with the bio-assay. Current study provides evidence that none of included Staphylococcus aureus enterotoxins A, B, C and D nor B. cereus Hemolysin BL (HBL) and non-hemolytic enterotoxin (NHE) and three mycotoxins (Sterigmatocystin, Fumonisin B1 and Patulin) exhibited a toxic impact on semen progressive motility. Aflatoxin M1, M3 and zearalenone impaired semen motility only at concentrations (0.004 mg ml(-1), 0.1 mg ml(-1) and 10 mg ml(-1), respectively) much higher than those found in foods and those permitted by legislation, in comparison to cereulide which induces motility cease at concentrations lower than 20 ng ml(-1). Ten commonly used preservatives, namely potassium sorbate, sodium benzoate, (DL) malic acid, citric acid, (L+) tartaric acid, acetic acid, (DL) lactic acid, (L+) ascorbic acid, sodium chloride and sucrose induced no cease in spermatozoa motility even at preservative concentrations higher than permitted by legislation. Dioxins, 2,3,7,8-tetrachlorodibenzo-p-dioxin (TCDD), and acrylamide had no acute effect on spermatozoa motility at concentrations of 500 and 10,000 mg ml(-1), respectively. Robustness of computer aided boar semen motility analysis, tested with 14 different foods inoculated with cereulide producing B. cereus, showed distinct cereulide production in seven samples (although B. cereus growth to counts higher than 8 log CFU g(-1) was noted in 11 samples), in amounts close to those reported in foodborne outbreaks. Test evaluation in 33 samples suspected to hold cereulide showed actual cereulide presence in ten samples and no interference of food matrix

  20. Strategies for improved interpretation of computer-aided detections for CT colonography utilizing distributed human intelligence.

    PubMed

    McKenna, Matthew T; Wang, Shijun; Nguyen, Tan B; Burns, Joseph E; Petrick, Nicholas; Summers, Ronald M

    2012-08-01

    Computer-aided detection (CAD) systems have been shown to improve the diagnostic performance of CT colonography (CTC) in the detection of premalignant colorectal polyps. Despite the improvement, the overall system is not optimal. CAD annotations on true lesions are incorrectly dismissed, and false positives are misinterpreted as true polyps. Here, we conduct an observer performance study utilizing distributed human intelligence in the form of anonymous knowledge workers (KWs) to investigate human performance in classifying polyp candidates under different presentation strategies. We evaluated 600 polyp candidates from 50 patients, each case having at least one polyp ≥6 mm, from a large database of CTC studies. Each polyp candidate was labeled independently as a true or false polyp by 20 KWs and an expert radiologist. We asked each labeler to determine whether the candidate was a true polyp after looking at a single 3D-rendered image of the candidate and after watching a video fly-around of the candidate. We found that distributed human intelligence improved significantly when presented with the additional information in the video fly-around. We noted that performance degraded with increasing interpretation time and increasing difficulty, but distributed human intelligence performed better than our CAD classifier for "easy" and "moderate" polyp candidates. Further, we observed numerous parallels between the expert radiologist and the KWs. Both showed similar improvement in classification moving from single-image to video interpretation. Additionally, difficulty estimates obtained from the KWs using an expectation maximization algorithm correlated well with the difficulty rating assigned by the expert radiologist. Our results suggest that distributed human intelligence is a powerful tool that will aid in the development of CAD for CTC.

  1. Strategies for Improved Interpretation of Computer-Aided Detections for CT Colonography Utilizing Distributed Human Intelligence

    PubMed Central

    McKenna, Matthew T.; Wang, Shijun; Nguyen, Tan B.; Burns, Joseph E.; Petrick, Nicholas; Summers, Ronald M.

    2012-01-01

    Computer-aided detection (CAD) systems have been shown to improve the diagnostic performance of CT colonography (CTC) in the detection of premalignant colorectal polyps. Despite the improvement, the overall system is not optimal. CAD annotations on true lesions are incorrectly dismissed, and false positives are misinterpreted as true polyps. Here, we conduct an observer performance study utilizing distributed human intelligence in the form of anonymous knowledge workers (KWs) to investigate human performance in classifying polyp candidates under different presentation strategies. We evaluated 600 polyp candidates from 50 patients, each case having at least one polyp • 6 mm, from a large database of CTC studies. Each polyp candidate was labeled independently as a true or false polyp by 20 KWs and an expert radiologist. We asked each labeler to determine whether the candidate was a true polyp after looking at a single 3D-rendered image of the candidate and after watching a video fly-around of the candidate. We found that distributed human intelligence improved significantly when presented with the additional information in the video fly-around. We noted that performance degraded with increasing interpretation time and increasing difficulty, but distributed human intelligence performed better than our CAD classifier for “easy” and “moderate” polyp candidates. Further, we observed numerous parallels between the expert radiologist and the KWs. Both showed similar improvement in classification moving from single-image to video interpretation. Additionally, difficulty estimates obtained from the KWs using an expectation maximization algorithm correlated well with the difficulty rating assigned by the expert radiologist. Our results suggest that distributed human intelligence is a powerful tool that will aid in the development of CAD for CTC. PMID:22705287

  2. 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.

  3. Role of computer aided detection (CAD) integration: case study with meniscal and articular cartilage CAD applications

    NASA Astrophysics Data System (ADS)

    Safdar, Nabile; Ramakrishna, Bharath; Saiprasad, Ganesh; Siddiqui, Khan; Siegel, Eliot

    2008-03-01

    Knee-related injuries involving the meniscal or articular cartilage are common and require accurate diagnosis and surgical intervention when appropriate. With proper techniques and experience, confidence in detection of meniscal tears and articular cartilage abnormalities can be quite high. However, for radiologists without musculoskeletal training, diagnosis of such abnormalities can be challenging. In this paper, the potential of improving diagnosis through integration of computer-aided detection (CAD) algorithms for automatic detection of meniscal tears and articular cartilage injuries of the knees is studied. An integrated approach in which the results of algorithms evaluating either meniscal tears or articular cartilage injuries provide feedback to each other is believed to improve the diagnostic accuracy of the individual CAD algorithms due to the known association between abnormalities in these distinct anatomic structures. The correlation between meniscal tears and articular cartilage injuries is exploited to improve the final diagnostic results of the individual algorithms. Preliminary results from the integrated application are encouraging and more comprehensive tests are being planned.

  4. Computer-aided detection of lung nodules using outer surface features.

    PubMed

    Demir, Önder; Yılmaz Çamurcu, Ali

    2015-01-01

    In this study, a computer-aided detection (CAD) system was developed for the detection of lung nodules in computed tomography images. The CAD system consists of four phases, including two-dimensional and three-dimensional preprocessing phases. In the feature extraction phase, four different groups of features are extracted from volume of interests: morphological features, statistical and histogram features, statistical and histogram features of outer surface, and texture features of outer surface. The support vector machine algorithm is optimized using particle swarm optimization for classification. The CAD system provides 97.37% sensitivity, 86.38% selectivity, 88.97% accuracy and 2.7 false positive per scan using three groups of classification features. After the inclusion of outer surface texture features, classification results of the CAD system reaches 98.03% sensitivity, 87.71% selectivity, 90.12% accuracy and 2.45 false positive per scan. Experimental results demonstrate that outer surface texture features of nodule candidates are useful to increase sensitivity and decrease the number of false positives in the detection of lung nodules in computed tomography images.

  5. Inertial aided cycle slip detection and identification for integrated PPP GPS and INS.

    PubMed

    Du, Shuang; Gao, Yang

    2012-10-25

    The recently developed integrated Precise Point Positioning (PPP) GPS/INS system can be useful to many applications, such as UAV navigation systems, land vehicle/machine automation and mobile mapping systems. Since carrier phase measurements are the primary observables in PPP GPS, cycle slips, which often occur due to high dynamics, signal obstructions and low satellite elevation, must be detected and repaired in order to ensure the navigation performance. In this research, a new algorithm of cycle slip detection and identification has been developed. With the aiding from INS, the proposed method jointly uses WL and EWL phase combinations to uniquely determine cycle slips in the L1 and L2 frequencies. To verify the efficiency of the algorithm, both tactical-grade and consumer-grade IMUs are tested by using a real dataset collected from two field tests. The results indicate that the proposed algorithm can efficiently detect and identify the cycle slips and subsequently improve the navigation performance of the integrated system.

  6. Multiple-instance learning for computer-aided detection of tuberculosis

    NASA Astrophysics Data System (ADS)

    Melendez, J.; Sánchez, C. I.; Philipsen, R. H. H. M.; Maduskar, P.; van Ginneken, B.

    2014-03-01

    Detection of tuberculosis (TB) on chest radiographs (CXRs) is a hard problem. Therefore, to help radiologists or even take their place when they are not available, computer-aided detection (CAD) systems are being developed. In order to reach a performance comparable to that of human experts, the pattern recognition algorithms of these systems are typically trained on large CXR databases that have been manually annotated to indicate the abnormal lung regions. However, manually outlining those regions constitutes a time-consuming process that, besides, is prone to inconsistencies and errors introduced by interobserver variability and the absence of an external reference standard. In this paper, we investigate an alternative pattern classi cation method, namely multiple-instance learning (MIL), that does not require such detailed information for a CAD system to be trained. We have applied this alternative approach to a CAD system aimed at detecting textural lesions associated with TB. Only the case (or image) condition (normal or abnormal) was provided in the training stage. We compared the resulting performance with those achieved by several variations of a conventional system trained with detailed annotations. A database of 917 CXRs was constructed for experimentation. It was divided into two roughly equal parts that were used as training and test sets. The area under the receiver operating characteristic curve was utilized as a performance measure. Our experiments show that, by applying the investigated MIL approach, comparable results as with the aforementioned conventional systems are obtained in most cases, without requiring condition information at the lesion level.

  7. Analog Computer-Aided Detection (CAD) information can be more effective than binary marks.

    PubMed

    Cunningham, Corbin A; Drew, Trafton; Wolfe, Jeremy M

    2017-02-01

    In socially important visual search tasks, such as baggage screening and diagnostic radiology, experts miss more targets than is desirable. Computer-aided detection (CAD) programs have been developed specifically to improve performance in these professional search tasks. For example, in breast cancer screening, many CAD systems are capable of detecting approximately 90% of breast cancer, with approximately 0.5 false-positive detections per image. Nevertheless, benefits of CAD in clinical settings tend to be small (Birdwell, 2009) or even absent (Meziane et al., 2011; Philpotts, 2009). The marks made by a CAD system can be "binary," giving the same signal to any location where the signal is above some threshold. Alternatively, a CAD system presents an analog signal that reflects strength of the signal at a location. In the experiments reported, we compare analog and binary CAD presentations using nonexpert observers and artificial stimuli defined by two noisy signals: a visible color signal and an "invisible" signal that informed our simulated CAD system. We found that analog CAD generally yielded better overall performance than binary CAD. The analog benefit is similar at high and low target prevalence. Our data suggest that the form of the CAD signal can directly influence performance. Analog CAD may allow the computer to be more helpful to the searcher.

  8. Early Detection of Emotional and Behavioral Disorders in Dermatology.

    PubMed

    García-Campayo, J; Pérez-Yus, M C; García-Bustinduy, M; Daudén, E

    2016-05-01

    Many skin diseases are associated with mental disorders. When the psychological symptoms are mild, as is often the case in dermatology, it can be difficult to distinguish between normality and the manifestations of a mental disorder. To facilitate the distinction we review the concept of mental disorder in the present article. It is also important to have instruments that can facilitate early detection of psychological disease, i.e. when the symptoms are still mild. Short, simple, self-administered questionnaires have been developed to help dermatologists and other health professionals identify the presence of a mental disorder with a high degree of certainty. In this article, we focus on the questionnaires most often used to detect the 2 most common mental disorders: anxiety and depression. Finally, we describe the circumstances in which it is advisable to refer a dermatological patient to a psychiatrist, who can diagnose and treat the mental disorder in accordance with standard protocols.

  9. HIV/AIDS in Early Childhood Day-Care Settings. Final Report. Phase I.

    ERIC Educational Resources Information Center

    McKinney, David D., Ed.; And Others

    A feasibility study regarding the training and information needs of preschool and day care administrators, staff, and teachers regarding HIV/AIDS was conducted. This study also examined the issues associated with the presence of HIV-positive children in preschool and day care settings and the need for designing a program to help preschools and day…

  10. Use of the Canterbury Child's Aid in Infancy and Early Childhood: A Case Study.

    ERIC Educational Resources Information Center

    Harris, Leonard; And Others

    1985-01-01

    A blind infant used the Canterbury Child's Aid (a binaural spatial sensor) for such purposes as reaching, feeding, and walking. As a preschooler, she used it to explore novel environments and avoid objects in her path. Training increased her responsiveness to and action upon the environment. (CL)

  11. AIDS/HIV Infection Policies for Early Childhood and School Settings.

    ERIC Educational Resources Information Center

    Massachusetts State Dept. of Public Health, Boston.

    This volume of policies related to children with Acquired Immune Deficiency Syndrome (AIDS) or Human Immunodeficiency Virus (HIV) describes appropriate ways to guarantee students' rights while maintaining public health, and answers questions for parents, educators, and caregivers. Section 1 presents policy guidelines for infants, toddlers, and…

  12. Automated classification of mandibular cortical bone on dental panoramic radiographs for early detection of osteoporosis

    NASA Astrophysics Data System (ADS)

    Horiba, Kazuki; Muramatsu, Chisako; Hayashi, Tatsuro; Fukui, Tatsumasa; Hara, Takeshi; Katsumata, Akitoshi; Fujita, Hiroshi

    2015-03-01

    Findings on dental panoramic radiographs (DPRs) have shown that mandibular cortical index (MCI) based on the morphology of mandibular inferior cortex was significantly correlated with osteoporosis. MCI on DPRs can be categorized into one of three groups and has the high potential for identifying patients with osteoporosis. However, most DPRs are used only for diagnosing dental conditions by dentists in their routine clinical work. Moreover, MCI is not generally quantified but assessed subjectively. In this study, we investigated a computer-aided diagnosis (CAD) system that automatically classifies mandibular cortical bone for detection of osteoporotic patients at early stage. First, an inferior border of mandibular bone was detected by use of an active contour method. Second, regions of interest including the cortical bone are extracted and analyzed for its thickness and roughness. Finally, support vector machine (SVM) differentiate cases into three MCI categories by features including the thickness and roughness. Ninety eight DPRs were used to evaluate our proposed scheme. The number of cases classified to Class I, II, and III by a dental radiologist are 56, 25 and 17 cases, respectively. Experimental result based on the leave-one-out cross-validation evaluation showed that the sensitivities for the classes I, II, and III were 94.6%, 57.7% and 94.1%, respectively. Distribution of the groups in the feature space indicates a possibility of MCI quantification by the proposed method. Therefore, our scheme has a potential in identifying osteoporotic patients at an early stage.

  13. 1970s and 'Patient 0' HIV-1 genomes illuminate early HIV/AIDS history in North America.

    PubMed

    Worobey, Michael; Watts, Thomas D; McKay, Richard A; Suchard, Marc A; Granade, Timothy; Teuwen, Dirk E; Koblin, Beryl A; Heneine, Walid; Lemey, Philippe; Jaffe, Harold W

    2016-11-03

    The emergence of HIV-1 group M subtype B in North American men who have sex with men was a key turning point in the HIV/AIDS pandemic. Phylogenetic studies have suggested cryptic subtype B circulation in the United States (US) throughout the 1970s and an even older presence in the Caribbean. However, these temporal and geographical inferences, based upon partial HIV-1 genomes that postdate the recognition of AIDS in 1981, remain contentious and the earliest movements of the virus within the US are unknown. We serologically screened >2,000 1970s serum samples and developed a highly sensitive approach for recovering viral RNA from degraded archival samples. Here, we report eight coding-complete genomes from US serum samples from 1978-1979-eight of the nine oldest HIV-1 group M genomes to date. This early, full-genome 'snapshot' reveals that the US HIV-1 epidemic exhibited extensive genetic diversity in the 1970s but also provides strong evidence for its emergence from a pre-existing Caribbean epidemic. Bayesian phylogenetic analyses estimate the jump to the US at around 1970 and place the ancestral US virus in New York City with 0.99 posterior probability support, strongly suggesting this was the crucial hub of early US HIV/AIDS diversification. Logistic growth coalescent models reveal epidemic doubling times of 0.86 and 1.12 years for the US and Caribbean, respectively, suggesting rapid early expansion in each location. Comparisons with more recent data reveal many of these insights to be unattainable without archival, full-genome sequences. We also recovered the HIV-1 genome from the individual known as 'Patient 0' (ref. 5) and found neither biological nor historical evidence that he was the primary case in the US or for subtype B as a whole. We discuss the genesis and persistence of this belief in the light of these evolutionary insights.

  14. Early, computer-Aided Design/Computer-Aided Modeling Planned, Le Fort I Advancement With Internal Distractors to Treat Severe Maxillary Hypoplasia in Cleft Lip and Palate.

    PubMed

    Chang, Catherine S; Swanson, Jordan; Yu, Jason; Taylor, Jesse A

    2017-04-11

    Traditionally, maxillary hypoplasia in the setting of cleft lip and palate is treated via orthognathic surgery at skeletal maturity, which condemns these patients to abnormal facial proportions during adolescence. The authors sought to determine the safety profile of computer-aided design/computer-aided modeling (CAD/CAM) planned, Le Fort I distraction osteogenesis with internal distractors in select patients presenting at a young age with severe maxillary retrusion. The authors retrospectively reviewed our "early" Le Fort I distraction osteogenesis experience-patients performed for severe maxillary retrusion (≥12 mm underjet), after canine eruption but prior to skeletal maturity-at a single institution. Patient demographics, cleft characteristics, CAD/CAM operative plans, surgical complications, postoperative imaging, and outcomes were analyzed. Four patients were reviewed, with a median age of 12.8 years at surgery (range 8.6-16.1 years). Overall mean advancement was 17.95 + 2.9 mm (range 13.7-19.9 mm) with mean SNA improved 18.4° to 87.4 ± 5.7°. Similarly, ANB improved 17.7° to a postoperative mean of 2.4 ± 3.1°. Mean follow-up was 100.7 weeks, with 3 of 4 patients in a Class I occlusion with moderate-term follow-up; 1 of 4 will need an additional maxillary advancement due to pseudo-relapse. In conclusion, Le Fort I distraction osteogenesis with internal distractors is a safe procedure to treat severe maxillary hypoplasia after canine eruption but before skeletal maturity. Short-term follow-up demonstrates safety of the procedure and relative stability of the advancement. Pseudo-relapse is a risk of the procedure that must be discussed at length with patients and families.

  15. A perspective on early commercial applications of voice-processing technology for telecommunications and aids for the handicapped.

    PubMed

    Seelbach, C

    1995-10-24

    The Colloquium on Human-Machine Communication by Voice highlighted the global technical community's focus on the problems and promise of voice-processing technology, particularly, speech recognition and speech synthesis. Clearly, there are many areas in both the research and development of these technologies that can be advanced significantly. However, it is also true that there are many applications of these technologies that are capable of commercialization now. Early successful commercialization of new technology is vital to ensure continuing interest in its development. This paper addresses efforts to commercialize speech technologies in two markets: telecommunications and aids for the handicapped.

  16. Enhancement of visual motion detection thresholds in early deaf people.

    PubMed

    Shiell, Martha M; Champoux, François; Zatorre, Robert J

    2014-01-01

    In deaf people, the auditory cortex can reorganize to support visual motion processing. Although this cross-modal reorganization has long been thought to subserve enhanced visual abilities, previous research has been unsuccessful at identifying behavioural enhancements specific to motion processing. Recently, research with congenitally deaf cats has uncovered an enhancement for visual motion detection. Our goal was to test for a similar difference between deaf and hearing people. We tested 16 early and profoundly deaf participants and 20 hearing controls. Participants completed a visual motion detection task, in which they were asked to determine which of two sinusoidal gratings was moving. The speed of the moving grating varied according to an adaptive staircase procedure, allowing us to determine the lowest speed necessary for participants to detect motion. Consistent with previous research in deaf cats, the deaf group had lower motion detection thresholds than the hearing. This finding supports the proposal that cross-modal reorganization after sensory deprivation will occur for supramodal sensory features and preserve the output functions.

  17. Protein microarrays and quantum dot probes for early cancer detection.

    PubMed

    Zajac, Aleksandra; Song, Dansheng; Qian, Wei; Zhukov, Tatyana

    2007-08-01

    We describe here a novel approach for detection of cancer markers using quantum dot protein microarrays. Both relatively new technologies; quantum dots and protein microarrays, offer very unique features that together allow detection of cancer markers in biological specimens (serum, plasma, body fluids) at pg/ml concentration. Quantum dots offer remarkable photostability and brightness. They do not exhibit photobleaching common to organic fluorophores. Moreover, the high emission amplitude for QDs results in a marked improvement in the signal to noise ratio of the final image. Protein microarrays allow highly parallel quantitation of specific proteins in a rapid, low-cost and low sample volume format. Furthermore the multiplexed assay enables detection of many proteins at once in one sample, making it a powerful tool for biomarker analysis and early cancer diagnostics. In a series of multiplexing experiments we investigated ability of the platform to detect six different cytokines in protein solution. We were able to detect TNF-alpha, IL-8, IL-6, MIP-1beta, IL-13 and IL-1beta down to picomolar concentration, demonstrating high sensitivity of the investigated detection system. We have also constructed and investigated two different models of quantum dot probes. One by conjugation of nanocrystals to antibody specific to the selected marker--IL-10, and the second by use of streptavidin coated quantum dots and biotinylated detector antibody. Comparison of those two models showed better performance of streptavidin QD-biotinylated detector antibody model. Data quantitated using custom designed computer program (CDAS) show that proposed methodology allows monitoring of changes in biomarker concentration in physiological range.

  18. Early detection of cancer: past, present, and future.

    PubMed

    Schiffman, Joshua D; Fisher, Paul G; Gibbs, Peter

    2015-01-01

    Screening in both healthy and high-risk populations offers the opportunity to detect cancer early and with an increased opportunity for treatment and curative intent. Currently, a defined role for screening exists in some cancer types, but each screening test has limitations, and improved screening methods are urgently needed. Unfortunately, many cancers still lack effective screening recommendations, or in some cases, the benefits from screening are marginal when weighed against the potential for harm. Here we review the current status of cancer screening: we examine the role of traditional tumor biomarkers, describe recommended imaging for early tumor surveillance, and explore the potential of promising novel cancer markers such as circulating tumor cells (CTC) and circulating tumor DNA. Consistent challenges for all of these screening tests include limited sensitivity and specificity. The risk for overdiagnosis remains a particular concern in screening, whereby lesions of no clinical consequence may be detected and thus create difficult management decisions for the clinician and patient. If treatment is pursued following overdiagnosis, patients may be exposed to morbidity from a treatment that may not provide any true benefit. The cost-effectiveness of screening tests also needs to be an ongoing focus. The improvement of genomic and surveillance technologies, which leads to more precise imaging and the ability to characterize blood-based tumor markers of greater specificity, offers opportunities for major progress in cancer screening.

  19. Future directions for the early detection of colorectal cancer recurrence.

    PubMed

    Walker, Avery S; Johnson, Eric K; Maykel, Justin A; Stojadinovic, Alex; Nissan, Aviram; Brucher, Bjorn; Champagne, Bradley J; Steele, Scott R

    2014-01-01

    Surgical resection remains a mainstay of treatment and is highly effective for localized colorectal cancer. However, ~30-40% of patients develop recurrence following surgery and 40-50% of recurrences are apparent within the first few years after initial surgical resection. Several variables factor into the ultimate outcome of these patients, including the extent of disease, tumor biology, and patient co-morbidities. Additionally, the time from initial treatment to the development of recurrence is strongly associated with overall survival, particularly in patients who recur within one year of their surgical resection. Current post-resection surveillance strategies involve physical examination, laboratory, endoscopic and imaging studies utilizing various high and low-intensity protocols. Ultimately, the goal is to detect recurrence as early as possible, and ideally in the asymptomatic localized phase, to allow initiation of treatment that may still result in cure. While current strategies have been effective, several efforts are evolving to improve our ability to identify recurrent disease at its earliest phase. Our aim with this article is to briefly review the options available and, more importantly, examine emerging and future options to assist in the early detection of colon and rectal cancer recurrence.

  20. Computer-aided detection of masses in digital tomosynthesis mammography: Comparison of three approaches

    SciTech Connect

    Chan Heangping; Wei Jun; Zhang Yiheng; Helvie, Mark A.; Moore, Richard H.; Sahiner, Berkman; Hadjiiski, Lubomir; Kopans, Daniel B.

    2008-09-15

    The authors are developing a computer-aided detection (CAD) system for masses on digital breast tomosynthesis mammograms (DBT). Three approaches were evaluated in this study. In the first approach, mass candidate identification and feature analysis are performed in the reconstructed three-dimensional (3D) DBT volume. A mass likelihood score is estimated for each mass candidate using a linear discriminant analysis (LDA) classifier. Mass detection is determined by a decision threshold applied to the mass likelihood score. A free response receiver operating characteristic (FROC) curve that describes the detection sensitivity as a function of the number of false positives (FPs) per breast is generated by varying the decision threshold over a range. In the second approach, prescreening of mass candidate and feature analysis are first performed on the individual two-dimensional (2D) projection view (PV) images. A mass likelihood score is estimated for each mass candidate using an LDA classifier trained for the 2D features. The mass likelihood images derived from the PVs are backprojected to the breast volume to estimate the 3D spatial distribution of the mass likelihood scores. The FROC curve for mass detection can again be generated by varying the decision threshold on the 3D mass likelihood scores merged by backprojection. In the third approach, the mass likelihood scores estimated by the 3D and 2D approaches, described above, at the corresponding 3D location are combined and evaluated using FROC analysis. A data set of 100 DBT cases acquired with a GE prototype system at the Breast Imaging Laboratory in the Massachusetts General Hospital was used for comparison of the three approaches. The LDA classifiers with stepwise feature selection were designed with leave-one-case-out resampling. In FROC analysis, the CAD system for detection in the DBT volume alone achieved test sensitivities of 80% and 90% at average FP rates of 1.94 and 3.40 per breast, respectively. With the

  1. Targeting Cell Surface Proteins in Molecular Photoacoustic Imaging to Detect Ovarian Cancer Early

    DTIC Science & Technology

    2012-07-01

    10-1-0422 TITLE: Targeting Cell Surface Proteins in Molecular Photoacoustic Imaging to Detect Ovarian Cancer Early PRINCIPAL...molecular imaging 7 cdrescher@fhcrc.org Targeting Cell Surface Proteins in Molecular Photoacoustic Imaging to Detect Ovarian Cancer Early Page 3...Targeting Cell Surface Proteins in Molecular Photoacoustic Imaging to Detect Ovarian Cancer Early Charles W Drescher, MD, Principle Investigator

  2. Missed, Misused, or Mismanaged: Improving Early Detection Systems to Optimize Child Outcomes

    ERIC Educational Resources Information Center

    Macy, Marisa; Marks, Kevin; Towle, Alexander

    2014-01-01

    Early detection efforts have been shown to vary greatly in practice, and there is a general lack of systematic accountability built into monitoring early detection effort impact. This article reviews current early detection practices and the drawbacks of these practices, with particular attention given to prevalent issues of mismeasurement,…

  3. Early detection for lung cancer. New tools for casefinding.

    PubMed Central

    Lam, S.; Lam, B.; Petty, T. L.

    2001-01-01

    OBJECTIVE: To review data from published population trials and clinical practice guidelines on screening for lung cancer to provide a recommendation for early detection of lung cancer. QUALITY OF EVIDENCE: Literature was searched via MEDLINE using the MeSH headings "lung neoplasm," "mass screening," "thoracic radiography," and "sputum." Only prospective randomized controlled trials with large numbers of subjects were selected. MAIN MESSAGE: Risk of lung cancer among long-term heavy smokers continues even years after stopping smoking. Risk is highest in smokers with chronic obstructive pulmonary disease. Canadian clinical practice guidelines currently recommend that sputum cytology examination and chest radiography (CXR) not be used for lung cancer screening. This guideline was deducted from four randomized population trials in the 1970s that have serious limitations and applies to asymptomatic adults only. A CXR and sputum cytology examination are indicated in symptomatic current and former smokers older than 45 years with a smoking history of 30 pack-years or more and airflow obstruction defined as a forced expiratory volume in 1 second/forced vital capacity (FEV1/FVC) of 70% or less and a FEV1 lower than 70%. Curative treatment is available for early lung cancer. Substantial advances in innovative technologies for early detection using low-dose spiral CT and newer sputum tests have been made in the last three decades. Additional studies are under way to evaluate these new technologies. CONCLUSION: Primary care physicians have an important role in identifying people at risk of developing lung cancer and in supporting research to evaluate new screening technology. PMID:11281087

  4. Visual change detection recruits auditory cortices in early deafness.

    PubMed

    Bottari, Davide; Heimler, Benedetta; Caclin, Anne; Dalmolin, Anna; Giard, Marie-Hélène; Pavani, Francesco

    2014-07-01

    Although cross-modal recruitment of early sensory areas in deafness and blindness is well established, the constraints and limits of these plastic changes remain to be understood. In the case of human deafness, for instance, it is known that visual, tactile or visuo-tactile stimuli can elicit a response within the auditory cortices. Nonetheless, both the timing of these evoked responses and the functional contribution of cross-modally recruited areas remain to be ascertained. In the present study, we examined to what extent auditory cortices of deaf humans participate in high-order visual processes, such as visual change detection. By measuring visual ERPs, in particular the visual MisMatch Negativity (vMMN), and performing source localization, we show that individuals with early deafness (N=12) recruit the auditory cortices when a change in motion direction during shape deformation occurs in a continuous visual motion stream. Remarkably this "auditory" response for visual events emerged with the same timing as the visual MMN in hearing controls (N=12), between 150 and 300 ms after the visual change. Furthermore, the recruitment of auditory cortices for visual change detection in early deaf was paired with a reduction of response within the visual system, indicating a shift from visual to auditory cortices of part of the computational process. The present study suggests that the deafened auditory cortices participate at extracting and storing the visual information and at comparing on-line the upcoming visual events, thus indicating that cross-modally recruited auditory cortices can reach this level of computation.

  5. Improving Computer-Aided Detection Using Convolutional Neural Networks and Random View Aggregation.

    PubMed

    Roth, Holger R; Lu, Le; Liu, Jiamin; Yao, Jianhua; Seff, Ari; Cherry, Kevin; Kim, Lauren; Summers, Ronald M

    2016-05-01

    Automated computer-aided detection (CADe) has been an important tool in clinical practice and research. State-of-the-art methods often show high sensitivities at the cost of high false-positives (FP) per patient rates. We design a two-tiered coarse-to-fine cascade framework that first operates a candidate generation system at sensitivities  ∼ 100% of but at high FP levels. By leveraging existing CADe systems, coordinates of regions or volumes of interest (ROI or VOI) are generated and function as input for a second tier, which is our focus in this study. In this second stage, we generate 2D (two-dimensional) or 2.5D views via sampling through scale transformations, random translations and rotations. These random views are used to train deep convolutional neural network (ConvNet) classifiers. In testing, the ConvNets assign class (e.g., lesion, pathology) probabilities for a new set of random views that are then averaged to compute a final per-candidate classification probability. This second tier behaves as a highly selective process to reject difficult false positives while preserving high sensitivities. The methods are evaluated on three data sets: 59 patients for sclerotic metastasis detection, 176 patients for lymph node detection, and 1,186 patients for colonic polyp detection. Experimental results show the ability of ConvNets to generalize well to different medical imaging CADe applications and scale elegantly to various data sets. Our proposed methods improve performance markedly in all cases. Sensitivities improved from 57% to 70%, 43% to 77%, and 58% to 75% at 3 FPs per patient for sclerotic metastases, lymph nodes and colonic polyps, respectively.

  6. Computer aided detection of brain micro-bleeds in traumatic brain injury

    NASA Astrophysics Data System (ADS)

    van den Heuvel, T. L. A.; Ghafoorian, M.; van der Eerden, A. W.; Goraj, B. M.; Andriessen, T. M. J. C.; ter Haar Romeny, B. M.; Platel, B.

    2015-03-01

    Brain micro-bleeds (BMBs) are used as surrogate markers for detecting diffuse axonal injury in traumatic brain injury (TBI) patients. The location and number of BMBs have been shown to influence the long-term outcome of TBI. To further study the importance of BMBs for prognosis, accurate localization and quantification are required. The task of annotating BMBs is laborious, complex and prone to error, resulting in a high inter- and intra-reader variability. In this paper we propose a computer-aided detection (CAD) system to automatically detect BMBs in MRI scans of moderate to severe neuro-trauma patients. Our method consists of four steps. Step one: preprocessing of the data. Both susceptibility (SWI) and T1 weighted MRI scans are used. The images are co-registered, a brain-mask is generated, the bias field is corrected, and the image intensities are normalized. Step two: initial candidates for BMBs are selected as local minima in the processed SWI scans. Step three: feature extraction. BMBs appear as round or ovoid signal hypo-intensities on SWI. Twelve features are computed to capture these properties of a BMB. Step four: Classification. To identify BMBs from the set of local minima using their features, different classifiers are trained on a database of 33 expert annotated scans and 18 healthy subjects with no BMBs. Our system uses a leave-one-out strategy to analyze its performance. With a sensitivity of 90% and 1.3 false positives per BMB, our CAD system shows superior results compared to state-of-the-art BMB detection algorithms (developed for non-trauma patients).

  7. Fluorescence spectroscopic detection of early injury-induced atherosclerosis

    NASA Astrophysics Data System (ADS)

    Lucas, Alexandra; Perk, Masis; Wen, Yue; Smith, Carol

    1992-08-01

    Laser-induced fluorescence spectroscopy has been used for the detection of advanced atherosclerotic lesions. Angioplasty balloon-mediated injury was examined spectroscopically in order to assess the sensitivity of fluorescence spectroscopy for detection of early atherosclerosis. Abdominal aortic balloon angioplasty was performed via femoral artery cutdown in nine White Leghorn roosters (five normal, four atherogenic diet). Roosters were sacrificed at 1, 2, 4, 8, and 12 week intervals. Fluorescence emission spectra (n equals 114) were recorded from each aortic section (XeCl excimer laser, 308 nm, 1.5 - 2.0 mJ/pulse, 5 Hz). Changes in normalized fluorescence emission intensity were correlated with selected sections of histology. All balloon-injured segments showed intimal fibrous proliferation. For intimal thickness measuring > 70 (mu) , fluorescence emission intensity was decreased at 440 - 460 nm (p < 0.0005). Lesions complicated by thrombus also had lower fluorescence emission at 425 - 450 nm when compared to histologically normal aorta (p < 0.009). In injured segments high cholesterol diet resulted in lower recorded fluorescence emission at 440 - 460 nm (p < 0.001) associated with the increase in intimal thickness. Spectra from uninjured elastic aorta (aortic arch and thoracic aorta) had greater fluorescence intensity at 380 - 445 nm than muscular (abdominal) aorta (p < 0.01), therefore, only spectra from injured and uninjured segments of corresponding areas of the aorta were compared. The conclusion is: (1) Early intimal proliferative changes after angioplasty can be detected by fluorescence spectroscopy. (2) Spectra from elastic thoracic aorta differ significantly from the spectra of muscular abdominal aorta.

  8. Computer-aided diagnosis: detection and localization of prostate cancer within the peripheral zone.

    PubMed

    Rampun, Andrik; Chen, Zhili; Malcolm, Paul; Tiddeman, Bernie; Zwiggelaar, Reyer

    2016-05-01

    We propose a methodology for prostate cancer detection and localization within the peripheral zone based on combining multiple segmentation techniques. We extract four image features using Gaussian and median filters. Subsequently, we use each image feature separately to generate binary segmentations. Finally, we take the intersection of all four binary segmentations, incorporating a model of the peripheral zone, and perform erosion to remove small false-positive regions. The initial evaluation of this method is based on 275 MRI images from 37 patients, and 86% of the slices were classified correctly with 87% and 86% sensitivity and specificity achieved, respectively. This paper makes two contributions: firstly, a novel computer-aided diagnosis approach, which is based on combining multiple segmentation techniques using only a small number of simple image features, and secondly, the development of the proposed method and its application in prostate cancer detection and localization using a single MRI modality with the results comparable with the state-of-the-art multimodality and advanced computer vision methods in the literature. Copyright © 2015 John Wiley & Sons, Ltd.

  9. Surface engineered biosensors for the early detection of cancer

    NASA Astrophysics Data System (ADS)

    Islam, Muhymin

    Cancer commences in the building block of human body which is cells and in most of the cases remains silent at early stage. Diseases are only expressed at molecular and cellular level at primary stages. Recognition of diseases at this micro and nano level might reduce the mortality rate of cancer significantly. This research work aimed to introduce novel electronic biosensors for for identification of cancer at cellular level. The dissertation study focuses on 1) Label-Free Isolation of Metastatic Tumor Cells Using Filter Based Microfluidic device; 2) Nanotextured Polymer Substrates for Enhanced Cancer Cell Isolation and Cell Growth; 3) Nanotextured Microfluidic Channel for Electrical Profiling and Detection of Tumor Cells from Blood; and 4) Single Biochip for the Detection of Tumor Cells by Electrical Profile and Surface Immobilized Aptamer. Standard silicon processing techniques were followed to fabricate all of the biosensors. Nantoextruing and surface functionalizon were also incorporated to elevate the efficiency of the devices. The first approach aimed to detect cancer cells from blood based on their mechanophysical properties. Cancer cells are larger than blood cells but highly elastic in nature. These cells can squeeze through small microchannels much smaller than their size. The cross sectional area of the microchannels was optimized to isolate tumor cells from blood. Nanotextured polymer substrates, a platform inspired from the natural basement membrane was used to enhance the isolation and growth of tumor cells. Micro reactive ion etching was performed to have better control on features of nantoxtured surfaces and did not require any template. Next, electrical measurement of ionic current was performed across single microchannel to detect tumor cells from blood. Later, nanotexturing enhanced the efficiency of the device by selectively altering the translocation profile of cancer cells. Eventually aptamer functionalized nanotextured polymer surface was

  10. Diagnosis and early detection of COPD using spirometry

    PubMed Central

    Johns, David P.

    2014-01-01

    The standard respiratory function test for case detection of chronic obstructive pulmonary disease (COPD) is spirometry. The criterion for diagnosis defined in guidelines is based on the FEV1/FVC ratio forced expiratory ratio (FER) and its severity is based on forced expiratory volume in one second (FEV1) from measurements obtained during maximal forced expiratory manoeuvres. Spirometry is a safe and practical procedure, and when conducted by a trained operator using a spirometer that provides quality feedback, the majority of patients can be coached to provide acceptable and repeatable results. This allows potentially wide application of testing to improve recognition and diagnosis of COPD, such as for case finding in primary care. However, COPD remains substantially under diagnosed in primary care and a major reason for this is underuse of spirometry. The presence of symptoms is not a reliable indicator of disease and diagnosis is often delayed until more severe airflow obstruction is present. Early diagnosis is worthwhile, as it allows risk factors for COPD such as smoking to be addressed promptly and treatment optimised. Paradoxically, investigation of the patho-physiology in COPD has shown that extensive small airway disease exists before it is detectable with conventional spirometric indices, and methods to detect airway disease earlier using the flow-volume curve are discussed. PMID:25478197

  11. Caries detection methods: can they aid decision making for invasive sealant treatment?

    PubMed

    Pereira, A C; Verdonschot, E H; Huysmans, M C

    2001-01-01

    The decision to place sealants is a difficult one, and it has been suggested that in a low risk population it may be efficient to wait until caries is detected in the fissure. An invasive sealant technique with fissure preparation may then be indicated. The diagnostic method used in the indication of such a procedure should accurately detect both dentine caries and sound fissures: high sensitivity for dentine caries (at D3 threshold) with high specificity for enamel caries (at D1 threshold). The aims of this study were to assess the diagnostic performance of selected diagnostic methods at normal cut-offs for traditional dentine caries detection and at reduced cut-offs in relation to the desired performance mentioned above, and to assess whether fissure opening allows for accurate visual detection of dentinal caries. Data were obtained from 230 occlusal sites of 101 extracted human molar teeth. Diagnostic methods used on the entire sample were: visual inspection, electrical conductance measurements and laser fluorescence measurements. The sample was then divided into two groups. Group 1 was subjected to visual inspection after application of a dye. Group 2 was subjected to visual inspection after fissure opening only, and after subsequent dye application. Validation was performed by histological investigation. The results with cut-offs normally used in dentine caries detection were roughly in accordance with the literature, except for laser fluorescence. The sensitivity of visual inspection for dentinal caries (D3) was 17% before and 70% after fissure opening. Using reduced cut-offs, a 100% sensitivity (D3) was achieved with 2 methods, but this also resulted in 63 or 87% false positive diagnoses of sound surfaces. Visual inspection and electrical methods both showed a moderate to high sensitivity (D3) with a higher than 50% specificity (D1). It was concluded that visual inspection and electrical methods at reduced cut-offs may aid the indication of invasive sealant

  12. Reduction of false positives by machine learning for computer-aided detection of colonic polyps

    NASA Astrophysics Data System (ADS)

    Zhao, Xin; Wang, Su; Zhu, Hongbin; Liang, Zhengrong

    2009-02-01

    With the development of computer-aided detection of polyps (CADpolyp), various features have been extracted to detect the initial polyp candidates (IPCs). In this paper, three approaches were utilized to reduce the number of false positives (FPs): the multiply linear regression (MLR) and two modified machine learning methods, i.e., neural network (NN) and support vector machine (SVM), based on their own characteristics and specific learning purposes. Compared to MLR, the two modified machine learning methods are much more sophisticated and well-adapted to the data provided. To achieve the optimal sensitivity and specificity, raw features were pre-processed by the principle component analysis (PCA) in the hope of removing the second-order statistical correlation prior to any learning actions. The gain by the use of PCA was evidenced by the collected 26 patient studies, which included 32 colonic polyps confirmed by both optical colonoscopy (OC) and virtual colonoscopy (VC). The learning and testing results showed that the two modified machine-learning methods can reduce the number of FPs by 48.9% (or 7.2 FPs per patient) and 45.3% (or 7.7 FPs per patient) respectively, at 100% detection sensitivity in comparison with that of traditional MLR method. Generally, more than necessary number of features were stacked as input vectors to machine learning algorithms, dimensionality reduction for a more compact feature combination, i.e., how to determine the remaining dimensionality via PCA linear transform was considered and discussed in this paper. In addition, we proposed a new PCA-scaled data pre-processing method to help reduce the FPs significantly. Finally, fROC (free-response receiver operating characteristic) curves corresponding to three FP-reduction approaches were acquired, and comparative analysis was conducted.

  13. Computer-aided detection system for lung cancer in computed tomography scans: Review and future prospects

    PubMed Central

    2014-01-01

    Introduction The goal of this paper is to present a critical review of major Computer-Aided Detection systems (CADe) for lung cancer in order to identify challenges for future research. CADe systems must meet the following requirements: improve the performance of radiologists providing high sensitivity in the diagnosis, a low number of false positives (FP), have high processing speed, present high level of automation, low cost (of implementation, training, support and maintenance), the ability to detect different types and shapes of nodules, and software security assurance. Methods The relevant literature related to “CADe for lung cancer” was obtained from PubMed, IEEEXplore and Science Direct database. Articles published from 2009 to 2013, and some articles previously published, were used. A systemic analysis was made on these articles and the results were summarized. Discussion Based on literature search, it was observed that many if not all systems described in this survey have the potential to be important in clinical practice. However, no significant improvement was observed in sensitivity, number of false positives, level of automation and ability to detect different types and shapes of nodules in the studied period. Challenges were presented for future research. Conclusions Further research is needed to improve existing systems and propose new solutions. For this, we believe that collaborative efforts through the creation of open source software communities are necessary to develop a CADe system with all the requirements mentioned and with a short development cycle. In addition, future CADe systems should improve the level of automation, through integration with picture archiving and communication systems (PACS) and the electronic record of the patient, decrease the number of false positives, measure the evolution of tumors, evaluate the evolution of the oncological treatment, and its possible prognosis. PMID:24713067

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

    NASA Astrophysics Data System (ADS)

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

    2015-06-01

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

  15. Creation of training aids for human remains detection canines utilizing a non-contact, dynamic airflow volatile concentration technique.

    PubMed

    DeGreeff, Lauryn E; Weakley-Jones, Barbara; Furton, Kenneth G

    2012-04-10

    Human remains detection (HRD) canines are trained to locate human remains in a variety of locations and situations which include minimal quantities of remains that may be buried, submerged or extremely old. The aptitude of HRD canines is affected by factors such as training, familiarity with the scent source and environmental conditions. Access to appropriate training aids is a common issue among HRD canine handlers due to overly legal restrictions, difficulty in access and storage, and the potential biological hazards stemming from the use of actual human remains as training aids. For this reason, we propose a unique approach of training aid creation, utilizing non-contact, dynamic air-flow odor concentration onto sorbent materials. Following concentration, the sorbent material retains the odor from the scent source composed of volatile organic compounds. The sorbent material containing the odor can then be utilized as a canine training aid. Training materials prepared in this manner were tested under a variety of conditions with many HRD canines to demonstrate the efficacy of the new training aids. A high level of correct canine responses to the new training aids was achieved, approaching 90%, with minimal false positives.

  16. Optimizing early upper gastrointestinal cancer detection at endoscopy.

    PubMed

    Veitch, Andrew M; Uedo, Noriya; Yao, Kenshi; East, James E

    2015-11-01

    Survival rates for upper gastrointestinal cancers are poor and oesophageal cancer incidence is increasing. Upper gastrointestinal cancer is also often missed during examinations; a predicament that has not yet been sufficiently addressed. Improvements in the detection of premalignant lesions, early oesophageal and gastric cancers will enable organ-preserving endoscopic therapy, potentially reducing the number of advanced upper gastrointestinal cancers and resulting in improved prognosis. Japan is a world leader in high-quality diagnostic upper gastrointestinal endoscopy and the clinical routine in this country differs substantially from Western practice. In this Perspectives article, we review lessons learnt from Japanese gastroscopy technique, training and screening for risk stratification. We suggest a key performance indicator for upper gastrointestinal endoscopy with a minimum total procedure time of 8 min, and examine how quality assurance concepts in bowel cancer screening in the UK could be applied to upper gastrointestinal endoscopy and improve clinical practice.

  17. Klinefelter syndrome: are we missing opportunities for early detection?

    PubMed

    Nahata, Leena; Rosoklija, Ilina; Yu, Richard N; Cohen, Laurie E

    2013-10-01

    Klinefelter syndrome is a common condition that remains underdiagnosed, particularly prior to adulthood. Early detection could prevent morbidity and mortality, but the classic phenotype of small testes and tall stature may not be apparent until adolescence, and there is minimal guidance regarding whom to screen. We performed a retrospective study at Boston Children's Hospital in patients with the ICD-9 code for "Klinefelter syndrome" diagnosed prior to age 20 years, and determined age and reason for diagnosis, karyotype, heights, and comorbid conditions. Eighty percent had a 47,XXY karyotype, of whom half were diagnosed at age 11 to 19 years. The most common comorbidities were neurocognitive, including learning disabilities (67%), psychosocial problems (33%), and attention deficit disorder (27%). Subjects were only slightly taller than average in childhood (height standard deviation score = 0.64). These data show that Klinefelter syndrome is associated with long-standing comorbidities that frequently remain under-recognized; a karyotype should be considered in boys with neurocognitive problems.

  18. Rethinking Positron Emission Technology for Early Cancer Detection

    NASA Astrophysics Data System (ADS)

    Crosetto, D. B.

    2006-04-01

    Current PET technology, which detects cancer indirectly by measuring the size of tumors, is contrasted with a new technology that emphasizes measuring directly the abnormal metabolic activity characteristic of the very first cancerous cells by improving the efficiency of the medical imaging device hundreds of times. Rather than maximizing spatial resolution, this approach minimizes the abnormal metabolic threshold needed for early cancer diagnosis. A redesigned detector assembly takes full advantage of innovations in electronics to implement real-time algorithms that allow the use of economical crystal detectors. The tradeoffs inherent in choosing components, such as crystals, sensors, and electronics, for achieving the largest reduction in cancer deaths is discussed and justified. Theoretical calculations and prototype data are provided in references that demonstrate that all this can be achieved at a significantly lower radiation dosage and per exam cost to the patient.

  19. Computer-Aided Detection of Rapid, Overt, Airborne, Reconnaissance Data with the Capability of Removing Oceanic Noises

    DTIC Science & Technology

    2013-12-01

    have been three times more attacks to naval ships using sea mines than all other forms combined. Sea mines have always been viewed upon as underhanded...and unchivalrous, yet they provide a weaker navy the capability to stall and damage a vastly superior navy. Utilizing unmanned sensors to detect sea ...mines is the goal of the navy for the future. Computer-aided detection (CAD) of sea mines is much faster and more consistent than a human operator

  20. Early detection of AD using cortical thickness measurements

    NASA Astrophysics Data System (ADS)

    Spjuth, M.; Gravesen, F.; Eskildsen, S. F.; Østergaard, L. R.

    2007-03-01

    Alzheimer's disease (AD) is a neurodegenerative disorder that causes cortical atrophy and impaired cognitive functions. The diagnosis is difficult to make and is often made over a longer period of time using a combination of neuropsychological tests, and structural and functional imaging. Due to the impact of early intervention the challenge of distinguishing early AD from normal ageing has received increasing attention. This study uses cortical thickness measurements to characterize the atrophy in nine mild AD patients (mean MMSE-score 23.3 (std: 2.6)) compared to five healthy middle-aged subjects. A fully automated method based on deformable models is used for delineation of the inner and outer boundaries of the cerebral cortex from Magnetic Resonance Images. This allows observer independent high-resolution quantification of the cortical thickness. The cortex analysis facilitates detection of alterations throughout the entire cortical mantle. To perform inter-subject thickness comparison in which the spatial information is retained, a feature-based registration algorithm is developed which uses local cortical curvature, normal vector, and a distance measure. A comparison of the two study groups reveals that the lateral side of the hemispheres shows diffuse thinner areas in the mild AD group but especially the medial side shows a pronounced thinner area which can be explained by early limbic changes in AD. For classification principal component analysis is applied to reduce the high number of thickness measurements (>200,000) into fewer features. All mild AD and healthy middle-aged subjects are classified correctly (sensitivity and specificity 100%).

  1. Semiology, proteomics, and the early detection of symptomatic cancer.

    PubMed

    Porta, Miquel; Fernandez, Esteve; Alguacil, Joan

    2003-09-01

    "Diagnostic delay," the duration of symptoms or the symptom to diagnosis interval (SDI), are highly complex variables that reflect the behavior of the patient and the attending physician, tumor biology and host-tumor interactions, the functioning of the health care system, and sociocultural norms. In addition to tumor stage, other variables mediate the relationship between duration of symptoms and survival; clinical and epidemiologic procedures to measure them must be improved. Largely at odds with clinical and common wisdom, decades of research have shown that often SDI is not associated with tumor stage and/or with survival from cancer. It would be relevant to increase evidence in support of the notion that, for each type of tumor, there is a positive relationship between the length of the presymptomatic and the symptomatic phases. SDI could then be used to classify tumors according to their likelihood of being detected early when still asymptomatic. Also, tumors could be classified according to the ratio of the median SDI to the median survival (SDI to survival ratio, SSR), which may estimate the relative likelihood for clinical lead-time bias. If adhering to rigorous methodologic standards, proteomic analyses of early-stage cancers might provide new insights into changes that occur in early phases of tumorigenesis. More real examples are needed of uses of pathologic and genomic data to study mechanisms through which SDI influences-or fails to influence-prognosis. The degree of correlation between proteomic patterns and classic semiology constitutes an area of interest in itself; their respective correlations with cancer prognosis should be assessed in properly designed epidemiologic studies.

  2. Early detection of intentional harm in the human amygdala.

    PubMed

    Hesse, Eugenia; Mikulan, Ezequiel; Decety, Jean; Sigman, Mariano; Garcia, María del Carmen; Silva, Walter; Ciraolo, Carlos; Vaucheret, Esteban; Baglivo, Fabricio; Huepe, David; Lopez, Vladimir; Manes, Facundo; Bekinschtein, Tristan A; Ibanez, Agustin

    2016-01-01

    A decisive element of moral cognition is the detection of harm and its assessment as intentional or unintentional. Moral cognition engages brain networks supporting mentalizing, intentionality, empathic concern and evaluation. These networks rely on the amygdala as a critical hub, likely through frontotemporal connections indexing stimulus salience. We assessed inferences about perceived harm using a paradigm validated through functional magnetic resonance imaging, eye-tracking and electroencephalogram recordings. During the task, we measured local field potentials in three patients with depth electrodes (n = 115) placed in the amygdala and in several frontal, temporal, and parietal locations. Direct electrophysiological recordings demonstrate that intentional harm induces early activity in the amygdala (<200 ms), which--in turn--predicts intention attribution. The amygdala was the only site that systematically discriminated between critical conditions and predicted their classification of events as intentional. Moreover, connectivity analysis showed that intentional harm induced stronger frontotemporal information sharing at early stages. Results support the 'many roads' view of the amygdala and highlight its role in the rapid encoding of intention and salience--critical components of mentalizing and moral evaluation.

  3. [Epigenetics in the pathogenesis and early detection of gastric cancer].

    PubMed

    Corvalán R, Alejandro

    2013-12-01

    Gastric cancer is the first cause of death for cancer in Chile. The recently identified genetic alterations in these tumors have not yielded new biomarkers for the disease. Epigenetics or the study of reversible genomic changes that do not affect protein codifying DNA sequences but cause phenotypic disturbances, is identifying new cancer biomarkers. Specifically, the loss of expression caused by the covalent link of a methyl group to carbon 5 of cytosine (DNA hypermethylation) is extensively evaluated. Performing an epigenetic evaluation of 24 genes, we have identified eight genes associated to the aggressive signet ring cell type gastric cancer, the association between APC hypermethylation and worse prognosis and BRCA1 hypermethylation association with early onset of gastric cancer. The most interesting findings are the hypermethylation of Reprimo gene in plasma as a population biomarker and the tissue over expression of p73 gene (as a consequence of hypomethylation) as a high risk indicator of progression to gastric cancer. All these findings are indicating an important role of epigenetics in the pathogenesis and early detection of gastric cancer.

  4. Concrete bridge deck early problem detection and mitigation using robotics

    NASA Astrophysics Data System (ADS)

    Gucunski, Nenad; Yi, Jingang; Basily, Basily; Duong, Trung; Kim, Jinyoung; Balaguru, Perumalsamy; Parvardeh, Hooman; Maher, Ali; Najm, Husam

    2015-04-01

    More economical management of bridges can be achieved through early problem detection and mitigation. The paper describes development and implementation of two fully automated (robotic) systems for nondestructive evaluation (NDE) and minimally invasive rehabilitation of concrete bridge decks. The NDE system named RABIT was developed with the support from Federal Highway Administration (FHWA). It implements multiple NDE technologies, namely: electrical resistivity (ER), impact echo (IE), ground-penetrating radar (GPR), and ultrasonic surface waves (USW). In addition, the system utilizes advanced vision to substitute traditional visual inspection. The RABIT system collects data at significantly higher speeds than it is done using traditional NDE equipment. The associated platform for the enhanced interpretation of condition assessment in concrete bridge decks utilizes data integration, fusion, and deterioration and defect visualization. The interpretation and visualization platform specifically addresses data integration and fusion from the four NDE technologies. The data visualization platform facilitates an intuitive presentation of the main deterioration due to: corrosion, delamination, and concrete degradation, by integrating NDE survey results and high resolution deck surface imaging. The rehabilitation robotic system was developed with the support from National Institute of Standards and Technology-Technology Innovation Program (NIST-TIP). The system utilizes advanced robotics and novel materials to repair problems in concrete decks, primarily early stage delamination and internal cracking, using a minimally invasive approach. Since both systems use global positioning systems for navigation, some of the current efforts concentrate on their coordination for the most effective joint evaluation and rehabilitation.

  5. Multispectral fundus imaging for early detection of diabetic retinopathy

    NASA Astrophysics Data System (ADS)

    Beach, James M.; Tiedeman, James S.; Hopkins, Mark F.; Sabharwal, Yashvinder S.

    1999-04-01

    Functional imaging of the retina and associated structures may provide information for early assessment of risks of developing retinopathy in diabetic patients. Here we show results of retinal oximetry performed using multi-spectral reflectance imaging techniques to assess hemoglobin (Hb) oxygen saturation (OS) in blood vessels of the inner retina and oxygen utilization at the optic nerve in diabetic patients without retinopathy and early disease during experimental hyperglycemia. Retinal images were obtained through a fundus camera and simultaneously recorded at up to four wavelengths using image-splitting modules coupled to a digital camera. Changes in OS in large retinal vessels, in average OS in disk tissue, and in the reduced state of cytochrome oxidase (CO) at the disk were determined from changes in reflectance associated with the oxidation/reduction states of Hb and CO. Step to high sugar lowered venous oxygen saturation to a degree dependent on disease duration. Moderate increase in sugar produced higher levels of reduced CO in both the disk and surrounding tissue without a detectable change in average tissue OS. Results suggest that regulation of retinal blood supply and oxygen consumption are altered by hyperglycemia and that such functional changes are present before clinical signs of retinopathy.

  6. Chemiluminescence and Toluidine Blue as Diagnostic Tools for Detecting Early Stages of Oral Cancer: An invivo Study

    PubMed Central

    Ravikiran, A.; Samatha, Y.; Rao, Purna Chandra; Naik, Ravindra; Vashisht, Divy

    2014-01-01

    Background: There is a need for development and use of diagnostic aids that help the dental specialist more readily identify and assess Potentially Malignant Epithelial Lesions (PMELs) and Oral Squamous Cell Carcinoma (OSCC). This study was done to assess the value of two such commercially available tools: chemiluminescent light kit or ViziLite and 1% toluidine blue. Aims and Objectives: a) To detect epithelial dysplastic changes using chemiluminescene (commercially available as ViziLite) and toluidine blue staining in PMELs and OSCC patients and compare the results obtained with histopathological examination. b) To determine whether these techniques can be used to detect early epithelial dysplastic changes in clinically normal appearing oral mucosa of high risk (with habits) patients. Materials and Methods: A total of 60 patients- 25 patients with PMELs, specifically oral leukoplakia, 10 patients with clinically diagnosed OSCC and 25 high risk patients with no clinically visible lesion, were screened with ViziLite and toluidine blue staining; followed by incisional biopsy. Results: Sensitivity and specificity of ViziLite were calculated to be 95.45% and 84.6% respectively. ViziLite detected early epithelial dysplastic changes in one high risk patient with clinically normal appearing oral mucosa. Sensitivity and specificity of toluidine blue were calculated to be 86.36% and 76.9% respectively. Conclusion: ViziLite was relatively reliable in screening PMELs compared to toluidine blue, and was a useful chair side diagnostic aid. PMID:24959513

  7. Computer-aided detection of breast masses: Four-view strategy for screening mammography

    SciTech Connect

    Wei Jun; Chan Heangping; Zhou Chuan; Wu Yita; Sahiner, Berkman; Hadjiiski, Lubomir M.; Roubidoux, Marilyn A.; Helvie, Mark A.

    2011-04-15

    Purpose: To improve the performance of a computer-aided detection (CAD) system for mass detection by using four-view information in screening mammography. Methods: The authors developed a four-view CAD system that emulates radiologists' reading by using the craniocaudal and mediolateral oblique views of the ipsilateral breast to reduce false positives (FPs) and the corresponding views of the contralateral breast to detect asymmetry. The CAD system consists of four major components: (1) Initial detection of breast masses on individual views, (2) information fusion of the ipsilateral views of the breast (referred to as two-view analysis), (3) information fusion of the corresponding views of the contralateral breast (referred to as bilateral analysis), and (4) fusion of the four-view information with a decision tree. The authors collected two data sets for training and testing of the CAD system: A mass set containing 389 patients with 389 biopsy-proven masses and a normal set containing 200 normal subjects. All cases had four-view mammograms. The true locations of the masses on the mammograms were identified by an experienced MQSA radiologist. The authors randomly divided the mass set into two independent sets for cross validation training and testing. The overall test performance was assessed by averaging the free response receiver operating characteristic (FROC) curves of the two test subsets. The FP rates during the FROC analysis were estimated by using the normal set only. The jackknife free-response ROC (JAFROC) method was used to estimate the statistical significance of the difference between the test FROC curves obtained with the single-view and the four-view CAD systems. Results: Using the single-view CAD system, the breast-based test sensitivities were 58% and 77% at the FP rates of 0.5 and 1.0 per image, respectively. With the four-view CAD system, the breast-based test sensitivities were improved to 76% and 87% at the corresponding FP rates, respectively

  8. Bilateral analysis based false positive reduction for computer-aided mass detection

    SciTech Connect

    Wu Yita; Wei Jun; Hadjiiski, Lubomir M.; Sahiner, Berkman; Zhou Chuan; Ge Jun; Shi Jiazheng; Zhang Yiheng; Chan Heangping

    2007-08-15

    We have developed a false positive (FP) reduction method based on analysis of bilateral mammograms for computerized mass detection systems. The mass candidates on each view were first detected by our unilateral computer-aided detection (CAD) system. For each detected object, a regional registration technique was used to define a region of interest (ROI) that is ''symmetrical'' to the object location on the contralateral mammogram. Texture features derived from the spatial gray level dependence matrices and morphological features were extracted from the ROI containing the detected object on a mammogram and its corresponding ROI on the contralateral mammogram. Bilateral features were then generated from corresponding pairs of unilateral features for each object. Two linear discriminant analysis (LDA) classifiers were trained from the unilateral and the bilateral feature spaces, respectively. Finally, the scores from the unilateral LDA classifier and the bilateral LDA asymmetry classifier were fused with a third LDA whose output score was used to distinguish true mass from FPs. A data set of 341 cases of bilateral two-view mammograms was used in this study, of which 276 cases with 552 bilateral pairs contained 110 malignant and 166 benign biopsy-proven masses and 65 cases with 130 bilateral pairs were normal. The mass data set was divided into two subsets for twofold cross-validation training and testing. The normal data set was used for estimation of FP rates. It was found that our bilateral CAD system achieved a case-based sensitivity of 70%, 80%, and 85% at average FP rates of 0.35, 0.75, and 0.95 FPs/image, respectively, on the test data sets with malignant masses. In comparison to the average FP rates for the unilateral CAD system of 0.58, 1.33, and 1.63, respectively, at the corresponding sensitivities, the FP rates were reduced by 40%, 44%, and 42% with the bilateral symmetry information. The improvement was statistically significance (p<0.05) as estimated by

  9. Bilateral analysis based false positive reduction for computer-aided mass detection.

    PubMed

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

    2007-08-01

    We have developed a false positive (FP) reduction method based on analysis of bilateral mammograms for computerized mass detection systems. The mass candidates on each view were first detected by our unilateral computer-aided detection (CAD) system. For each detected object, a regional registration technique was used to define a region of interest (ROI) that is "symmetrical" to the object location on the contralateral mammogram. Texture features derived from the spatial gray level dependence matrices and morphological features were extracted from the ROI containing the detected object on a mammogram and its corresponding ROI on the contralateral mammogram. Bilateral features were then generated from corresponding pairs of unilateral features for each object. Two linear discriminant analysis (LDA) classifiers were trained from the unilateral and the bilateral feature spaces, respectively. Finally, the scores from the unilateral LDA classifier and the bilateral LDA asymmetry classifier were fused with a third LDA whose output score was used to distinguish true mass from FPs. A data set of 341 cases of bilateral two-view mammograms was used in this study, of which 276 cases with 552 bilateral pairs contained 110 malignant and 166 benign biopsy-proven masses and 65 cases with 130 bilateral pairs were normal. The mass data set was divided into two subsets for twofold cross-validation training and testing. The normal data set was used for estimation of FP rates. It was found that our bilateral CAD system achieved a case-based sensitivity of 70%, 80%, and 85% at average FP rates of 0.35, 0.75, and 0.95 FPs/image, respectively, on the test data sets with malignant masses. In comparison to the average FP rates for the unilateral CAD system of 0.58, 1.33, and 1.63, respectively, at the corresponding sensitivities, the FP rates were reduced by 40%, 44%, and 42% with the bilateral symmetry information. The improvement was statistically significance (p < 0.05) as estimated by

  10. Computer-aided detection of HER2 amplification status using FISH images: a preliminary study

    NASA Astrophysics Data System (ADS)

    Zheng, Bin; Wang, Xiao-Hui; Surti, Urvashi; Bhargava, Rohit; Gur, David

    2009-02-01

    The amplification status of human epidermal growth factor receptors 2 (HER2) genes is strongly associated with clinical outcome in patients with breast cancer. The American Society of Clinical Oncology Tumor Marker Guidelines Panel has recommended routine testing of HER2 status on all newly diagnosed metastatic breast cancers since 2001. Although fluorescent in situ hybridization (FISH) technology provides superior accuracy as compared with other approaches, current manual FISH analysis methods are somewhat subjective, tedious, and may introduce interreader variability. The goal of this preliminary study is to develop and test a computer-aided detection (CAD) scheme to assess HER2 status using FISH images. Forty FISH images were selected for this study from our genetic laboratory. The CAD scheme first applies an adaptive, iterative threshold method followed by a labeling algorithm to segment cells of possible interest. A set of classification rules is then used to identify analyzable interphase cells and discard nonanalyzable cells due to cell overlapping and/or other image staining debris (or artifacts). The scheme then maps the detected analyzable cells onto two other gray scale images corresponding to the red and green color of the original image followed by application of a raster scan and labeling algorithms to separately detect the HER-2/neu ("red") and CEP17 ("green") FISH signals. A simple distance based criterion is applied to detect and merge split FISH signals within each cell. The CAD scheme computes the ratio between independent "red" and "green" FISH signals of all analyzable cells identified on an image. If the ratio is >= 2.0, the FISH image is assumed to have been acquired from a HER2+ case; otherwise, the FISH image is assumed to have been acquired from HER2- case. When we applied the CAD scheme to the testing dataset, the average computed HER2 amplification ratios were 1.06+/-0.25 and 2.53+/-0.81 for HER2- and HER2+ samples, respectively. The

  11. A novel computer-aided lung nodule detection system for CT images

    SciTech Connect

    Tan, Maxine; Deklerck, Rudi; Jansen, Bart; Bister, Michel; Cornelis, Jan

    2011-10-15

    Purpose: The paper presents a complete computer-aided detection (CAD) system for the detection of lung nodules in computed tomography images. A new mixed feature selection and classification methodology is applied for the first time on a difficult medical image analysis problem. Methods: The CAD system was trained and tested on images from the publicly available Lung Image Database Consortium (LIDC) on the National Cancer Institute website. The detection stage of the system consists of a nodule segmentation method based on nodule and vessel enhancement filters and a computed divergence feature to locate the centers of the nodule clusters. In the subsequent classification stage, invariant features, defined on a gauge coordinates system, are used to differentiate between real nodules and some forms of blood vessels that are easily generating false positive detections. The performance of the novel feature-selective classifier based on genetic algorithms and artificial neural networks (ANNs) is compared with that of two other established classifiers, namely, support vector machines (SVMs) and fixed-topology neural networks. A set of 235 randomly selected cases from the LIDC database was used to train the CAD system. The system has been tested on 125 independent cases from the LIDC database. Results: The overall performance of the fixed-topology ANN classifier slightly exceeds that of the other classifiers, provided the number of internal ANN nodes is chosen well. Making educated guesses about the number of internal ANN nodes is not needed in the new feature-selective classifier, and therefore this classifier remains interesting due to its flexibility and adaptability to the complexity of the classification problem to be solved. Our fixed-topology ANN classifier with 11 hidden nodes reaches a detection sensitivity of 87.5% with an average of four false positives per scan, for nodules with diameter greater than or equal to 3 mm. Analysis of the false positive items

  12. Detecting early recovery of consciousness: a comparison of methods.

    PubMed

    Day, Kristin V; DiNapoli, Michael V; Whyte, John

    2017-04-07

    Early detection of the return of consciousness has important implications for prognosis and rehabilitation access. The aim of this study was to compare the Coma Recovery Scale-Revised (CRS-R) with individualised quantitative behavioural assessments (IQBA) to determine which method is capable of detecting command-following earlier and more consistently in persons with disorders of consciousness (DoC). Data from 27 patients with DoC, who underwent both assessments concurrently during inpatient rehabilitation, were retrospectively analysed. For each person, performance trajectories on the CRS-R auditory subscale item and IQBA dual command protocols were graphed together to identify earlier and more consistent evidence of consciousness; grouped data were analysed statistically. For 22 patients, IQBA more consistently documented consciousness than the CRS-R, whereas no patients showed the reverse pattern. For 14 of 20 analysable patients, IQBA provided earlier evidence of consciousness, for two patients CRS-R provided earlier evidence, and for four patients both methods provided initial evidence on the same day. These findings suggest that IQBA approaches can provide more consistent and earlier evidence of command-following than the comparable item on the CRS-R. Whether this advantage is due to the individualisation of IQBA or the greater volume of data gathered requires further research.

  13. Saliva: an emerging biofluid for early detection of diseases.

    PubMed

    Lee, Yu-Hsiang; Wong, David T

    2009-08-01

    The capability to assess physiological states, detect morbidity initiation and progression, and monitor posttreatment therapeutic outcomes through a noninvasive approach is one of the most desirable goals for healthcare research and delivery. Saliva, a multi-constituent oral fluid, has high potential for the surveillance of general health and disease. To reach the above goal through saliva-based diagnostics, two prerequisites must be fulfilled: (1) discovering biomarker(s) for different diseases among the complicated components of saliva, and (2) advancing sensitivity and specificity of biomarker(s) through persistent development of technologies. Under the support and research blueprint initiated by the National Institute of Dental and Craniofacial Research (NIDCR), salivary diagnostics has not only steadily progressed with respect to accuracy and availability, but has also bridged up-to-date nanotechnology to expand the areas of application. With collective efforts over several years, saliva has been demonstrated to be a promising bodily fluid for early detection of diseases, and salivary diagnostics has exhibited tremendous potential in clinical applications. This review presents an overview of the value of saliva as a credible diagnostic tool, the discovery of salivary biomarkers, and the development of salivary diagnostics now and in the future.

  14. Blood based cell biopsy for early detection of cancer

    NASA Astrophysics Data System (ADS)

    Tang, Cha-Mei; Adams, Daniel; Adams, Diane; Alpaugh, R. Katherine; Cristofanilli, Massimo; Martin, Stuart; Chumsri, Saranya; Marks, Jeffrey

    Early detection (ED) of cancer holds the promise for less aggressive treatments and better outcome. However, there are few accepted methods for ED. We report on a previously unknown blood cell found specifically in the peripheral blood of many solid tumors. They are defined as Cancer Associated Macrophage-Like cells (CAMLs) and are characterized by large size (25-300 μm) and expression of cancer markers. CAMLs were isolated on precision filters during blood filtration. We conducted prospective studies in breast cancer (BC) to ascertain CAML prevalence, specificity and sensitivity in relation to disease status at clinical presentation. We report on two related but separate studies: 1) the isolation of CAMLs from patients with known invasive BC, compared to healthy volunteers and, 2) a double blind study conducted on women undergoing core needle biopsy to evaluate suspicious breast masses. The studies show that CAMLs are found in all stages of BC and suggest that detection of CAMLs can differentiate patients with BC from those with benign breast conditions and healthy individuals. This non-invasive blood test can be potentially used for ED of BC and other malignancies after validation studies with the advantage of a minimally invasive procedure and longitudinal monitoring. This work was supported by Grants from Maryland TEDCO MTTCF, R01-CA154624 from NIH, KG100240 from Susan G. Komen Foundation, Era of Hope Scholar award from DoD (BC100675), and U01-CA084955 from NCI EDRN.

  15. Early and Real-Time Detection of Seasonal Influenza Onset

    PubMed Central

    Marques-Pita, Manuel

    2017-01-01

    Every year, influenza epidemics affect millions of people and place a strong burden on health care services. A timely knowledge of the onset of the epidemic could allow these services to prepare for the peak. We present a method that can reliably identify and signal the influenza outbreak. By combining official Influenza-Like Illness (ILI) incidence rates, searches for ILI-related terms on Google, and an on-call triage phone service, Saúde 24, we were able to identify the beginning of the flu season in 8 European countries, anticipating current official alerts by several weeks. This work shows that it is possible to detect and consistently anticipate the onset of the flu season, in real-time, regardless of the amplitude of the epidemic, with obvious advantages for health care authorities. We also show that the method is not limited to one country, specific region or language, and that it provides a simple and reliable signal that can be used in early detection of other seasonal diseases. PMID:28158192

  16. Early Oscillation Detection for DC/DC Converter Fault Diagnosis

    NASA Technical Reports Server (NTRS)

    Wang, Bright L.

    2011-01-01

    The electrical power system of a spacecraft plays a very critical role for space mission success. Such a modern power system may contain numerous hybrid DC/DC converters both inside the power system electronics (PSE) units and onboard most of the flight electronics modules. One of the faulty conditions for DC/DC converter that poses serious threats to mission safety is the random occurrence of oscillation related to inherent instability characteristics of the DC/DC converters and design deficiency of the power systems. To ensure the highest reliability of the power system, oscillations in any form shall be promptly detected during part level testing, system integration tests, flight health monitoring, and on-board fault diagnosis. The popular gain/phase margin analysis method is capable of predicting stability levels of DC/DC converters, but it is limited only to verification of designs and to part-level testing on some of the models. This method has to inject noise signals into the control loop circuitry as required, thus, interrupts the DC/DC converter's normal operation and increases risks of degrading and damaging the flight unit. A novel technique to detect oscillations at early stage for flight hybrid DC/DC converters was developed.

  17. Early and Real-Time Detection of Seasonal Influenza Onset.

    PubMed

    Won, Miguel; Marques-Pita, Manuel; Louro, Carlota; Gonçalves-Sá, Joana

    2017-02-01

    Every year, influenza epidemics affect millions of people and place a strong burden on health care services. A timely knowledge of the onset of the epidemic could allow these services to prepare for the peak. We present a method that can reliably identify and signal the influenza outbreak. By combining official Influenza-Like Illness (ILI) incidence rates, searches for ILI-related terms on Google, and an on-call triage phone service, Saúde 24, we were able to identify the beginning of the flu season in 8 European countries, anticipating current official alerts by several weeks. This work shows that it is possible to detect and consistently anticipate the onset of the flu season, in real-time, regardless of the amplitude of the epidemic, with obvious advantages for health care authorities. We also show that the method is not limited to one country, specific region or language, and that it provides a simple and reliable signal that can be used in early detection of other seasonal diseases.

  18. Implementation of combined SVM-algorithm and computer-aided perception feedback for pulmonary nodule detection

    NASA Astrophysics Data System (ADS)

    Pietrzyk, Mariusz W.; Rannou, Didier; Brennan, Patrick C.

    2012-02-01

    This pilot study examines the effect of a novel decision support system in medical image interpretation. This system is based on combining image spatial frequency properties and eye-tracking data in order to recognize over and under calling errors. Thus, before it can be implemented as a detection aided schema, training is required during which SVMbased algorithm learns to recognize FP from all reported outcomes, and, FN from all unreported prolonged dwelled regions. Eight radiologists inspected 50 PA chest radiographs with the specific task of identifying lung nodules. Twentyfive cases contained CT proven subtle malignant lesions (5-20mm), but prevalence was not known by the subjects, who took part in two sequential reading sessions, the second, without and with support system feedback. MCMR ROC DBM and JAFROC analyses were conducted and demonstrated significantly higher scores following feedback with p values of 0.04, and 0.03 respectively, highlighting significant improvements in radiology performance once feedback was used. This positive effect on radiologists' performance might have important implications for future CAD-system development.

  19. Learning-based image preprocessing for robust computer-aided detection

    NASA Astrophysics Data System (ADS)

    Raghupathi, Laks; Devarakota, Pandu R.; Wolf, Matthias

    2013-03-01

    Recent studies have shown that low dose computed tomography (LDCT) can be an effective screening tool to reduce lung cancer mortality. Computer-aided detection (CAD) would be a beneficial second reader for radiologists in such cases. Studies demonstrate that while iterative reconstructions (IR) improve LDCT diagnostic quality, it however degrades CAD performance significantly (increased false positives) when applied directly. For improving CAD performance, solutions such as retraining with newer data or applying a standard preprocessing technique may not be suffice due to high prevalence of CT scanners and non-uniform acquisition protocols. Here, we present a learning-based framework that can adaptively transform a wide variety of input data to boost an existing CAD performance. This not only enhances their robustness but also their applicability in clinical workflows. Our solution consists of applying a suitable pre-processing filter automatically on the given image based on its characteristics. This requires the preparation of ground truth (GT) of choosing an appropriate filter resulting in improved CAD performance. Accordingly, we propose an efficient consolidation process with a novel metric. Using key anatomical landmarks, we then derive consistent feature descriptors for the classification scheme that then uses a priority mechanism to automatically choose an optimal preprocessing filter. We demonstrate CAD prototype∗ performance improvement using hospital-scale datasets acquired from North America, Europe and Asia. Though we demonstrated our results for a lung nodule CAD, this scheme is straightforward to extend to other post-processing tools dedicated to other organs and modalities.

  20. A new system for early chloride detection in concrete

    NASA Astrophysics Data System (ADS)

    Laferrière, Francine; Inaudi, Daniele; Kronenberg, Pascal; Smith, Ian F. C.

    2008-08-01

    In a national and worldwide context, countless reinforced concrete structures are in an advanced state of deterioration. A principal cause of such degradation is chloride induced corrosion of reinforcement bars. This phenomenon is accentuated in countries where de-icing salts are used for road safety, as well as in maritime zones. To date, no non-destructive method quantifying chloride content during the corrosion initiation phase has been established. Measurement of such a parameter is important for the development of a better understanding of the complexity of corrosion phenomena and, more practically, for better management of existing structures. This paper proposes a new method for non-destructive measurement, for monitoring continuously and in real time free chloride content in concrete pores. In this context, a chemical sensor that employs optical fibers was developed and tested. The sensor functions using the fluorescence of an indicator dye that is sensitive to chlorides. Through fluorescence spectroscopy, variations in the concentration of free chlorides are related to intensity fluctuations of fluorescence. The use of optical fibers also provides an advantage compared with existing electric non-destructive detection systems due to superior electromagnetic stability. Theoretical and experimental studies calibrated and validated the sensor for implementation within mortar samples. Free chloride concentrations between 30 and 350 mM can be detected. Two experiments reproduced climatic variations in a controlled environment. The first test simulated a hot maritime climate and the second test simulated a cold continental climate. These tests confirmed that it is possible to determine with precision the free chloride content. Also, fluorescence spectroscopy with optical fibers offers an innovative means for early and non-destructive detection of free chloride content in concrete. As a result, this new method has potential for improving the science of corrosion

  1. Computer-aided detection of breast masses on full field digital mammograms

    PubMed Central

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

    2009-01-01

    We are developing a computer-aided detection (CAD) system for breast masses on full field digital mammographic (FFDM) images. To develop a CAD system that is independent of the FFDM manufacturer’s proprietary preprocessing methods, we used the raw FFDM image as input and developed a multiresolution preprocessing scheme for image enhancement. A two-stage prescreening method that combines gradient field analysis with gray level information was developed to identify mass candidates on the processed images. The suspicious structure in each identified region was extracted by clustering-based region growing. Morphological and spatial gray-level dependence texture features were extracted for each suspicious object. Stepwise linear discriminant analysis (LDA) with simplex optimization was used to select the most useful features. Finally, rule-based and LDA classifiers were designed to differentiate masses from normal tissues. Two data sets were collected: a mass data set containing 110 cases of two-view mammograms with a total of 220 images, and a no-mass data set containing 90 cases of two-view mammograms with a total of 180 images. All cases were acquired with a GE Senographe 2000D FFDM system. The true locations of the masses were identified by an experienced radiologist. Free-response receiver operating characteristic analysis was used to evaluate the performance of the CAD system. It was found that our CAD system achieved a case-based sensitivity of 70%, 80%, and 90% at 0.72, 1.08, and 1.82 false positive (FP) marks/image on the mass data set. The FP rates on the no-mass data set were 0.85, 1.31, and 2.14 FP marks/image, respectively, at the corresponding sensitivities. This study demonstrated the usefulness of our CAD techniques for automated detection of masses on FFDM images. PMID:16266097

  2. Computer-aided detection of bladder mass within contrast-enhanced region of CTU

    NASA Astrophysics Data System (ADS)

    Cha, Kenny; Hadjiiski, Lubomir; Chan, Heang-Ping; Caoili, Elaine M.; Cohan, Richard H.; Zhou, Chuan

    2015-03-01

    We are developing a computer-aided detection system for bladder cancer on CTU. The bladder was automatically segmented with our Conjoint Level set Analysis and Segmentation System (CLASS). In this preliminary study, we developed a system for detecting mass within the contrast-enhanced (C) region of the bladder. The C region was delineated from the segmented bladders using a method based on maximum intensity projection. The bladder wall of the C region was extracted using thresholding to remove the contrast material. The wall on each slice was transformed into a wall profile. Morphology and voxel intensity along the profile were analyzed and suspicious locations were labeled as lesion candidates. The candidates were segmented and 20 morphological features were extracted from each candidate. A data set of 35 patients with 45 biopsy-proven bladder lesions within the C region was used for system evaluation. Stepwise feature selection with simplex optimization and leave-one-case-out method was used for training and validation. For each partition in the leave-one-case-out method, features were selected from the training cases and a linear discriminant (LDA) classifier was designed to merge the selected features into a single score for classification of the lesion candidates into bladder lesions and normal findings in the left-out case. A single score was generated for each lesion candidate. The performance of the CAD system was evaluated by FROC analysis. At an FP rate of 2.5 FPs/case, the system achieved a sensitivity of 82%, while at 1.7 FPs/case, a sensitivity of 71%.

  3. The interplay of attention economics and computer-aided detection marks in screening mammography

    NASA Astrophysics Data System (ADS)

    Schwartz, Tayler M.; Sridharan, Radhika; Wei, Wei; Lukyanchenko, Olga; Geiser, William; Whitman, Gary J.; Haygood, Tamara Miner

    2016-03-01

    Introduction: According to attention economists, overabundant information leads to decreased attention for individual pieces of information. Computer-aided detection (CAD) alerts radiologists to findings potentially associated with breast cancer but is notorious for creating an abundance of false-positive marks. We suspected that increased CAD marks do not lengthen mammogram interpretation time, as radiologists will selectively disregard these marks when present in larger numbers. We explore the relevance of attention economics in mammography by examining how the number of CAD marks affects interpretation time. Methods: We performed a retrospective review of bilateral digital screening mammograms obtained between January 1, 2011 and February 28, 2014, using only weekend interpretations to decrease distractions and the likelihood of trainee participation. We stratified data according to reader and used ANOVA to assess the relationship between number of CAD marks and interpretation time. Results: Ten radiologists, with median experience after residency of 12.5 years (range 6 to 24,) interpreted 1849 mammograms. When accounting for number of images, Breast Imaging Reporting and Data System category, and breast density, increasing numbers of CAD marks was correlated with longer interpretation time only for the three radiologists with the fewest years of experience (median 7 years.) Conclusion: For the 7 most experienced readers, increasing CAD marks did not lengthen interpretation time. We surmise that as CAD marks increase, the attention given to individual marks decreases. Experienced radiologists may rapidly dismiss larger numbers of CAD marks as false-positive, having learned that devoting extra attention to such marks does not improve clinical detection.

  4. Comparison of computer-aided detection of clustered microcalcifications in digital mammography and digital breast tomosynthesis

    NASA Astrophysics Data System (ADS)

    Samala, Ravi K.; Chan, Heang-Ping; Lu, Yao; Hadjiiski, Lubomir; Wei, Jun; Helvie, Mark

    2015-03-01

    Digital breast tomosynthesis (DBT) has the potential to replace digital mammography (DM) for breast cancer screening. An effective computer-aided detection (CAD) system for microcalcification clusters (MCs) on DBT will facilitate the transition. In this study, we collected a data set with corresponding DBT and DM for the same breasts. DBT was acquired with IRB approval and informed consent using a GE GEN2 DBT prototype system. The DM acquired with a GE Essential system for the patient's clinical care was collected retrospectively from patient files. DM-based CAD (CADDM) and DBT-based CAD (CADDBT) were previously developed by our group. The major differences between the CAD systems include: (a) CADDBT uses two parallel processes whereas CADDM uses a single process for enhancing MCs and removing the structured background, (b) CADDBT has additional processing steps to reduce the false positives (FPs), including ranking of candidates of cluster seeds and cluster members and the use of adaptive CNR and size thresholds at clustering and FP reduction, (c) CADDM uses convolution neural network (CNN) and linear discriminant analysis (LDA) to differentiate true microcalcifications from FPs based on their morphological and CNN features. The performance difference is assessed by FROC analysis using test set (100 views with MCs and 74 views without MCs) independent of their respective training sets. At sensitivities of 70% and 80%, CADDBT achieved FP rates of 0.78 and 1.57 per view compared to 0.66 and 2.10 per image for the CADDM. JAFROC showed no significant difference between MC detection on DM and DBT by the two CAD systems.

  5. Shape-based computer-aided detection of lung nodules in thoracic CT images.

    PubMed

    Ye, Xujiong; Lin, Xinyu; Dehmeshki, Jamshid; Slabaugh, Greg; Beddoe, Gareth

    2009-07-01

    In this paper, a new computer tomography (CT) lung nodule computer-aided detection (CAD) method is proposed for detecting both solid nodules and ground-glass opacity (GGO) nodules (part solid and nonsolid). This method consists of several steps. First, the lung region is segmented from the CT data using a fuzzy thresholding method. Then, the volumetric shape index map, which is based on local Gaussian and mean curvatures, and the "dot" map, which is based on the eigenvalues of a Hessian matrix, are calculated for each voxel within the lungs to enhance objects of a specific shape with high spherical elements (such as nodule objects). The combination of the shape index (local shape information) and "dot" features (local intensity dispersion information) provides a good structure descriptor for the initial nodule candidates generation. Antigeometric diffusion, which diffuses across the image edges, is used as a preprocessing step. The smoothness of image edges enables the accurate calculation of voxel-based geometric features. Adaptive thresholding and modified expectation-maximization methods are employed to segment potential nodule objects. Rule-based filtering is first used to remove easily dismissible nonnodule objects. This is followed by a weighted support vector machine (SVM) classification to further reduce the number of false positive (FP) objects. The proposed method has been trained and validated on a clinical dataset of 108 thoracic CT scans using a wide range of tube dose levels that contain 220 nodules (185 solid nodules and 35 GGO nodules) determined by a ground truth reading process. The data were randomly split into training and testing datasets. The experimental results using the independent dataset indicate an average detection rate of 90.2%, with approximately 8.2 FP/scan. Some challenging nodules such as nonspherical nodules and low-contrast part-solid and nonsolid nodules were identified, while most tissues such as blood vessels were excluded

  6. 1970s and ‘Patient 0’ HIV-1 genomes illuminate early HIV/AIDS history in North America

    PubMed Central

    Worobey, Michael; Watts, Thomas D.; McKay, Richard A.; Suchard, Marc A.; Granade, Timothy; Teuwen, Dirk E.; Koblin, Beryl A.; Heneine, Walid; Lemey, Philippe; Jaffe, Harold W.

    2017-01-01

    The emergence of HIV-1 group M subtype B in North American men who have sex with men (MSM) was a key turning point in the HIV/AIDS pandemic. Phylogenetic studies have suggested cryptic subtype B circulation in the United States (US) throughout the 1970s2,3 and an even older presence in the Caribbean3. However, these timing and geographical inferences, based upon partial HIV-1 genomes that postdate the recognition of AIDS in 1981, remain contentious1,4 and the earliest movements of the virus within the US are unknown. We serologically screened >2000 1970s serum samples and developed a highly sensitive new approach for recovering viral RNA from degraded archival samples. Here, we report eight coding-complete genomes from US serum samples from 1978-79 – eight of the nine oldest HIV-1 group M genomes to date. This early, full-genome ‘snapshot’ reveals the US HIV-1 epidemic exhibited surprisingly extensive genetic diversity in the 1970s but also provides strong evidence of its emergence from a pre-existing Caribbean epidemic. Bayesian phylogenetic analyses estimate the jump to the US at ~1970 and place the ancestral US virus in New York City with 0.99 posterior probability support, strongly suggesting this was the crucial hub of early US HIV/AIDS diversification. Logistic growth coalescent models reveal epidemic doubling times of 0.86 and 1.12 years for the US and Caribbean, respectively, suggesting rapid early expansion in each location1. Comparisons with more recent data reveal many of these insights to be unattainable without archival, full-genome sequences. We also recovered the HIV-1 genome from the individual known as ‘Patient 0’5 and show there is neither biological nor historical evidence he was the primary case in the US or for subtype B as a whole. We discuss the genesis and persistence of this belief in the light of these evolutionary insights. PMID:27783600

  7. 76 FR 30723 - Breast and Cervical Cancer Early Detection and Control Advisory Committee (BCCEDCAC)

    Federal Register 2010, 2011, 2012, 2013, 2014

    2011-05-26

    ... HUMAN SERVICES Centers for Disease Control and Prevention Breast and Cervical Cancer Early Detection and... for breast and cervical cancer screening; updates on the National Breast and Cervical Cancer Early... Health and Human Services, and the Director, CDC, regarding the early detection and control of breast...

  8. The Value of Ultrasound Monitoring of Adnexal Masses for Early Detection of Ovarian Cancer

    PubMed Central

    Suh-Burgmann, Elizabeth; Kinney, Walter

    2016-01-01

    Although ultrasound has so far been found to be ineffective as a screening tool for ovarian cancer, it is commonly used as a means of evaluating or following ovarian or adnexal masses once they are detected. We review the use of serial ultrasound for the management of adnexal masses and propose an approach to monitoring based on an understanding of the overall risk of cancer among the population in question and an assessment of how the potential benefit of monitoring compares with potential risk. In our approach, masses that are symptomatic, large (>10 cm), associated with an elevated CA 125 level or overt signs of malignancy, or that are determined to have a worrisome appearance by stringent ultrasound criteria should be evaluated surgically. Women with masses that have none of these characteristics should be offered monitoring. Short-term initial ultrasound monitoring carries significant potential benefit in terms of aiding detection of early malignancy and avoidance of unnecessary surgery. However, if a mass remains stable but persistent, the potential benefit of ongoing monitoring wanes with time, whereas the potential harms, in terms of patient anxiety, cost, and the risk of incidental findings and unnecessary surgery increase. Therefore, monitoring of stable lesions should be limited in duration in order to limit potential harms from overtreatment and overdiagnosis. PMID:26904503

  9. A Computer-Aided Diagnosis Scheme For Detection Of Fatty Liver In Vivo Based On Ultrasound Kurtosis Imaging.

    PubMed

    Ma, Hsiang-Yang; Zhou, Zhuhuang; Wu, Shuicai; Wan, Yung-Liang; Tsui, Po-Hsiang

    2016-01-01

    Fatty liver disease is a common disease caused by alcoholism, obesity, and diabetes, resulting in triglyceride accumulation in hepatocytes. Kurtosis coefficient, a measure of the peakedness of the probability distribution, has been applied to the analysis of backscattered statistics for characterizing fatty liver. This study proposed ultrasound kurtosis imaging as a computer-aided diagnosis (CAD) method to visually and quantitatively stage the fatty liver. A total of 107 patients were recruited to participate in the experiments. The livers were scanned using a clinical ultrasound scanner with a 3.5-MHz curved transducer to acquire the raw ultrasound backscattered signals for kurtosis imaging. The kurtosis image was constructed using the sliding window technique. Experimental results showed that kurtosis imaging has the ability to visualize and quantify the variation of backscattered statistics caused by fatty infiltration. The kurtosis coefficient corresponding to liver parenchyma decreased from 5.41 ± 0.89 to 3.68 ± 0.12 with increasing the score of fatty liver from 0 (normal) to 3 (severe), indicating that fatty liver reduces the degree of peakedness of backscattered statistics. The best performance of kurtosis imaging was found when discriminating between normal and fatty livers with scores ≥1: the area under the curve (AUC) is 0.92 at a cutoff value of 4.36 (diagnostic accuracy =86.9 %, sensitivity =86.7 %, specificity =87.0 %). The current findings suggest that kurtosis imaging may be useful in designing CAD tools to assist in physicians in early detection of fatty liver.

  10. Detectability of early brain meningitis with magnetic resonance imaging

    SciTech Connect

    Runge, V.M.; Wells, J.W.; Williams, N.M.

    1995-08-01

    The ability of high-field (1.5 T) magnetic resonance imaging (MRI) to detect early brain meningitis was evaluated in a canine model. Contrast dose, timing postinjection, and imaging technique (specifically the use of magnetization transfer) were assessed. Imaging of five canines was performed at 1.5 T 24 hours after injection of Cowans staphylococcus into the cisterna magna. Two control animals also were imaged using the same protocol. Contrast doses of 0.1, 0.3, and 0.8 mmol/kg gadoteridol were compared. Scans were performed at 2, 13, and 22 minutes after an initial injection of 0.1 mmol/kg. Thirty minutes after the initial injection of contrast, a supplemental dose of 0.2 mmol/kg was given. Scans were then repeated at 2, 12, and 22 minutes after this dose was administered. A second supplemental contrast injection of 0.5 mmol/kg was given at 70 minutes, and immediate postinjection scans with and without MT were acquired. Results. In the animals receiving a cisternal injection of bacteria, the degree of meningeal enhancement was greatest at 0.8 mmol/kg, intermediate at 0.3 mmol/kg, and least at 0.1 mmol/kg. Scans in control studies did not demonstrate abnormal meningeal enhancement. High-contrast dose, MT, and acquisition of immediate postcontrast scans all resulted in statistically significant improvement. On masked film review, abnormal meningeal enhancement was noted in only 2 of 5 experimental dogs at a dose of 0.1 mmol/kg (regardless of the use of MT) compared with all animals at a dose of 0.3 mmol/kg. In 18 of 37 dogs (paired scans with and without MT), when abnormal enhancement was noted, the use of MT improved the visualization of abnormal meningeal enhancement. In early brain meningitis, high-contrast dose (0.3 mmol/kg), MT, and scanning immediately after injection improve detection of abnormal meningeal enhancement, thus facilitating the diagnosis of meningitis. Of these factors, contrast dose is the most important. 14 refs., 9 figs., 2 tabs.

  11. Kick Detection at the Bit: Early Detection via Low Cost Monitoring

    SciTech Connect

    Tost, Brian; Rose, Kelly; Aminzadeh, Fred; Ante, Magdalene A.; Huerta, Nicolas

    2016-06-07

    Formation fluid influxes (i.e. kicks) pose persistent challenges and operational costs during drilling operations. Implications of kicks range in scale but cumulatively result in substantial costs that affect drilling safety, environment, schedule, and infrastructure. Early kick detection presents a low-cost, easily adopted solution for avoiding well control challenges associated with kicks near the bit. Borehole geophysical tools used during the drilling process as part of the logging-while-drilling (LWD) and measurement-while-drilling (MWD) provide the advantage of offering real-time downhole data. LWD/MWD collect data on both the annulus and borehole wall. The annular data are normally treated as background, and are filtered out to isolate the formation measurements. Because kicks will change the local physical properties of annular fluids, bottom-hole measurements are among the first indicators that a formation fluid has invaded the wellbore. This report describes and validates a technique for using the annular portion of LWD/MWD data to facilitate early kick detection using first order principles. The detection technique leverages data from standard and cost-effective technologies that are typically implemented during well drilling, such as MWD/LWD data in combination with mud-pulse telemetry for data transmission.

  12. Effort and Potential Efficiencies for Aquatic Non-native Species Early Detection

    EPA Science Inventory

    This manuscript is based on the early aquatic non-native species detection research in the Duluth-Superior harbor. The problem of early detection is essentially that of a "needle in a haystack" - to detect a newly arrived and presumably rare non-native species with a high probabi...

  13. American Cancer Society guideline for the early detection of prostate cancer: update 2010.

    PubMed

    Wolf, Andrew M D; Wender, Richard C; Etzioni, Ruth B; Thompson, Ian M; D'Amico, Anthony V; Volk, Robert J; Brooks, Durado D; Dash, Chiranjeev; Guessous, Idris; Andrews, Kimberly; DeSantis, Carol; Smith, Robert A

    2010-01-01

    In 2009, the American Cancer Society (ACS) Prostate Cancer Advisory Committee began the process of a complete update of recommendations for early prostate cancer detection. A series of systematic evidence reviews was conducted focusing on evidence related to the early detection of prostate cancer, test performance, harms of therapy for localized prostate cancer, and shared and informed decision making in prostate cancer screening. The results of the systematic reviews were evaluated by the ACS Prostate Cancer Advisory Committee, and deliberations about the evidence occurred at committee meetings and during conference calls. On the basis of the evidence and a consensus process, the Prostate Cancer Advisory Committee developed the guideline, and a writing committee drafted a guideline document that was circulated to the entire committee for review and revision. The document was then circulated to peer reviewers for feedback, and finally to the ACS Mission Outcomes Committee and the ACS Board of Directors for approval. The ACS recommends that asymptomatic men who have at least a 10-year life expectancy have an opportunity to make an informed decision with their health care provider about screening for prostate cancer after they receive information about the uncertainties, risks, and potential benefits associated with prostate cancer screening. Prostate cancer screening should not occur without an informed decision-making process. Men at average risk should receive this information beginning at age 50 years. Men in higher risk groups should receive this information before age 50 years. Men should either receive this information directly from their health care providers or be referred to reliable and culturally appropriate sources. Patient decision aids are helpful in preparing men to make a decision whether to be tested.

  14. Model Development and Trial of Early Detection Manual for the Special Needs Children at Early Age Education Level

    ERIC Educational Resources Information Center

    Anwar, Zainul; Ingarianti, Tri Muji; Suryaningrum, Cahyaning

    2016-01-01

    This research was aimed to produce the manual for early detection for ABK at the level of early age education (PAUD = "Pendidikan Anak Usia Dini"). Research was "action research" with stages as proposed by Buunk and Van Vugt. Metodology of research these stages were called as PATH ("Problem-Analysis-Test…

  15. A case for critical ethnography: rethinking the early years of the AIDS epidemic in South Africa.

    PubMed

    Fassin, Didier

    2013-12-01

    The epidemic of AIDS in South Africa has been characterized not only by its rapid progression but also its impassioned controversies. Retrospectively examining a long-term anthropological project and discussing some reactions it elicited, the paper proposes a defense and illustration of a critical ethnography at three moments of the research. Ethnography is first discussed as fieldworks, proposing an alternative to the horizontal multi-sited approach via a vertical multi-layered method using various scales and locations, and thus connecting the disease endured by patients in townships and former homelands with the heated debates in scientific and political forums: this procedure substitutes a political economy of the disease for its cultural and behavioral interpretations. Ethnography is then discussed as writing, suggesting acknowledgment of the social intelligence of the agents as well as the need for a scientific distance: this principle allows the articulation of the objective historical condition of the individuals and their subjective experience of history, both revealed in the development of the epidemic. Ultimately ethnography is considered from the perspective of its afterlife, that is, the continuous process of its translation by readers and commentators, on the one hand, by the author trying to reach beyond the boundaries of the academic realm, on the other, the work of anthropology appearing as a living object open to public conversation and consequently a resource for knowledge and action.

  16. A National Virtual Specimen Database for Early Cancer Detection

    NASA Technical Reports Server (NTRS)

    Crichton, Daniel; Kincaid, Heather; Kelly, Sean; Thornquist, Mark; Johnsey, Donald; Winget, Marcy

    2003-01-01

    Access to biospecimens is essential for enabling cancer biomarker discovery. The National Cancer Institute's (NCI) Early Detection Research Network (EDRN) comprises and integrates a large number of laboratories into a network in order to establish a collaborative scientific environment to discover and validate disease markers. The diversity of both the institutions and the collaborative focus has created the need for establishing cross-disciplinary teams focused on integrating expertise in biomedical research, computational and biostatistics, and computer science. Given the collaborative design of the network, the EDRN needed an informatics infrastructure. The Fred Hutchinson Cancer Research Center, the National Cancer Institute,and NASA's Jet Propulsion Laboratory (JPL) teamed up to build an informatics infrastructure creating a collaborative, science-driven research environment despite the geographic and morphology differences of the information systems that existed within the diverse network. EDRN investigators identified the need to share biospecimen data captured across the country managed in disparate databases. As a result, the informatics team initiated an effort to create a virtual tissue database whereby scientists could search and locate details about specimens located at collaborating laboratories. Each database, however, was locally implemented and integrated into collection processes and methods unique to each institution. This meant that efforts to integrate databases needed to be done in a manner that did not require redesign or re-implementation of existing system

  17. Lung cancer risk prediction: a tool for early detection.

    PubMed

    Cassidy, Adrian; Duffy, Stephen W; Myles, Jonathan P; Liloglou, Triantafillos; Field, John K

    2007-01-01

    Although 45% of men and 39% of women will be diagnosed with cancer in their lifetime, it is difficult to predict which individuals will be affected. For some cancers, substantial progress in individual risk estimation has already been made. However, relatively few models have been developed to predict lung cancer risk beyond effects of age and smoking. This paper reviews published models for lung cancer risk prediction, discusses their potential contribution to clinical and research settings and suggests improvements to the risk modeling strategy for lung cancer. The sensitivity and specificity of existing cancer risk models is less than optimal. Improvement in individual risk prediction is important for selection of individuals for prevention or early detection interventions. In addition to smoking, factors related to occupational exposure, personal medical history and family history of cancer can add to the predictive power. A good risk prediction model is one that can identify a small fraction of the population in which a large proportion of the disease cases will occur. In the future, genetic and other biological markers are likely to be useful, although they will require rigorous evaluation. Validation is essential to establish the predictive effect and for ongoing monitoring of the model's continued relevance.

  18. Early detection of acute kidney injury after pediatric cardiac surgery

    PubMed Central

    Jefferies, John Lynn; Devarajan, Prasad

    2016-01-01

    Acute kidney injury (AKI) is increasingly recognized as a common problem in children undergoing cardiac surgery, with well documented increases in morbidity and mortality in both the short and the long term. Traditional approaches to the identification of AKI such as changes in serum creatinine have revealed a large incidence in this population with significant negative impact on clinical outcomes. However, the traditional diagnostic approaches to AKI diagnosis have inherent limitations that may lead to under-diagnosis of this pathologic process. There is a dearth of randomized controlled trials for the prevention and treatment of AKI associated with cardiac surgery, at least in part due to the paucity of early predictive biomarkers. Novel non-invasive biomarkers have ushered in a new era that allows for earlier detection of AKI. With these new diagnostic tools, a more consistent approach can be employed across centers that may facilitate a more accurate representation of the actual prevalence of AKI and more importantly, clinical investigation that may minimize the occurrence of AKI following pediatric cardiac surgery. A thoughtful management approach is necessary to mitigate the effects of AKI after cardiac surgery, which is best accomplished in close collaboration with pediatric nephrologists. Long-term surveillance for improvement in kidney function and potential development of chronic kidney disease should also be a part of the comprehensive management strategy. PMID:27429538

  19. [Importance of early detection in autism spectrum disorder].

    PubMed

    Limon, Agenor

    2007-01-01

    Autism, currently known as Autism Spectrum Disorder (ASD), is a lifelong neuropsychiatric disorder that starts before three years of age. The behavioral and cognitive symptoms seem to be caused by an abnormal synaptic connectivity that leads to deficits in the ability to filter sensory information. Poor filtering seems to constitute a barrier for the integration and processing of neuronal information. Because ASD is not a neurodegenerative disorder, under appropriate conditions, symptoms usually improve over time, probably because the autistic person learns to filter sensory information by alternative neuronal routes. This allows him/her to have a better understanding of the surrounding environment and in turn facilitates learning. Early intervention on children identified before age 2 notably improves prognosis. Currently, ASD can be detected in boys and girls when they are about 18 months old. However, parents and autism experts can observe symptoms before that age. The participation of the health system in order to prepare parents, pediatricians, and caregivers is highly important and leads to significant improvements in the quality of life of autistic individuals and of caregivers.

  20. Utilization of computer-aided detection system in diagnosing unilateral maxillary sinusitis on panoramic radiographs

    PubMed Central

    Ohashi, Yasufumi; Katsumata, Akitoshi; Fujita, Hiroshi; Nakayama, Miwa; Fukuda, Motoki; Nozawa, Michihito; Ariji, Eiichiro

    2016-01-01

    Objectives: It is unclear whether computer-aided detection (CAD) systems for panoramic radiography can help inexperienced dentists to diagnose maxillary sinusitis. The aim of this study was to clarify whether a CAD system for panoramic radiography can contribute to improved diagnostic performance for maxillary sinusitis by inexperienced dentists. Methods: The panoramic radiographs of 49 patients with maxillary sinusitis and 49 patients with healthy sinuses were evaluated in this study. The diagnostic performance of the CAD system was determined. 12 inexperienced dentists and 4 expert oral and maxillofacial radiologists observed the total of 98 panoramic radiographs and judged the presence or absence of maxillary sinusitis, under conditions with and without the support of the CAD system. The receiver operating characteristic curves of the two groups were compared. Results: The CAD system provided sensitivity of 77.6%, specificity of 69.4% and accuracy of 73.5%. The diagnostic performance of the inexperienced dentists increased with the support of the CAD system. When the inexperienced dentists diagnosed maxillary sinusitis with CAD support, the area under the curve (AUC) was significantly higher than that without CAD support. When the focus was only on panoramic radiographs in which CAD support led to a correct diagnosis, the AUC of the inexperienced dentists increased to an equivalent level to that of the experienced radiologists. Conclusions: The CAD system supported the inexperienced dentists in diagnosing maxillary sinusitis on the panoramic radiographs. If the accuracy of the CAD system can be increased, the benefits of CAD support will be further enhanced. PMID:26837670

  1. The use of contextual information for computer aided detection of masses in mammograms

    NASA Astrophysics Data System (ADS)

    Hupse, Rianne; Karssemeijer, Nico

    2009-02-01

    In breast cancer screening, radiologists not only look at local properties of suspicious regions in the mammogram but take also into account more general contextual information. In this study we investigated the use of similar information for computer aided detection of malignant masses. We developed a new set of features that combine information from the candidate mass region and the whole image or mammogram. The developed context features were constructed to give information about suspiciousness of a region relative to other areas in the mammogram, the location in the image, the location in relation to dense tissue and the overall amount of dense tissue in the mammogram. We used a step-wise floating feature selection algorithm to select subsets from the set of available features. Feature selection was performed two times, once using the complete feature set (37 context and 40 local features) and once using only the local features. It was found that in the subsets selected from the complete feature set 30-60% were context features. At most one local feature present in the subset containing context features was not present in the subset without context features. We validated the performance of the selected subsets on a separate data set using cross validation and bootstrapping. For each subset size we compared the performance obtained using the features selected from the complete feature set to the performance obtained using the features selected from the local feature set. We found that subsets containing context features performed significantly better than feature sets containing no context features.

  2. Evaluation of a One-Page Report to Aid in Detecting Glaucomatous Damage

    PubMed Central

    Hood, Donald C.; Raza, Ali S.; De Moraes, Carlos G.; Alhadeff, Paula A.; Idiga, Juliet; Blumberg, Dana M.; Liebmann, Jeffrey M.; Ritch, Robert

    2014-01-01

    Purpose We assessed the use of a customized, one-page structure + function report for aiding in detection of glaucomatous damage. Methods Two individuals (report specialists), experienced in analyzing optical coherent tomography (OCT) and visual field (VF) results, examined a customized one-page report for 50 eyes from 50 patients who either had glaucoma or were glaucoma suspects. The report contained key features of OCT scans with VF information. All patients had 24-2 VFs with a mean deviation (MD) better than −6 dB. The report specialists classified each hemifield and eye as either glaucomatous or nonglaucomatous based upon only the customized report, either without (phase 1) or with (phase 2) 24-2 VF information included on the report. Their results were compared to the classifications made by 3 ophthalmologists (glaucoma specialists) based upon traditional measures, namely stereo photographs, 24-2 VFs, and a commercially available, OCT disc scan report. Results The two report specialists agreed on all but one eye and four hemifields in phase 1, and on all eyes and all but one hemifield in phase 2. In phase 2, they judged 31 eyes abnormal. Of these 31 eyes, 30 were judged abnormal by all three glaucoma specialists and the 31st by two of the three. Without the VF information (phase 1), one report specialist classified 1, and the other 2, of these 31 “abnormal” eyes as normal. Conclusions When using the one-page report, the experienced readers showed excellent inter-rater repeatability and diagnostic ability relative to glaucoma specialists. Translational Relevance This condensed report may help the clinician assess glaucomatous damage. PMID:25674357

  3. Modeling uncertainty in classification design of a computer-aided detection system

    NASA Astrophysics Data System (ADS)

    Hosseini, Rahil; Dehmeshki, Jamshid; Barman, Sarah; Mazinani, Mahdi; Qanadli, Salah

    2010-03-01

    A computerized image analysis technology suffers from imperfection, imprecision and vagueness of the input data and its propagation in all individual components of the technology including image enhancement, segmentation and pattern recognition. Furthermore, a Computerized Medical Image Analysis System (CMIAS) such as computer aided detection (CAD) technology deals with another source of uncertainty that is inherent in image-based practice of medicine. While there are several technology-oriented studies reported in developing CAD applications, no attempt has been made to address, model and integrate these types of uncertainty in the design of the system components, even though uncertainty issues directly affect the performance and its accuracy. In this paper, the main uncertainty paradigms associated with CAD technologies are addressed. The influence of the vagueness and imprecision in the classification of the CAD, as a second reader, on the validity of ROC analysis results is defined. In order to tackle the problem of uncertainty in the classification design of the CAD, two fuzzy methods are applied and evaluated for a lung nodule CAD application. Type-1 fuzzy logic system (T1FLS) and an extension of it, interval type-2 fuzzy logic system (IT2FLS) are employed as methods with high potential for managing uncertainty issues. The novelty of the proposed classification methods is to address and handle all sources of uncertainty associated with a CAD system. The results reveal that IT2FLS is superior to T1FLS for tackling all sources of uncertainty and significantly, the problem of inter and intra operator observer variability.

  4. Impact of Computer-Aided Detection Systems on Radiologist Accuracy With Digital Mammography

    PubMed Central

    Cole, Elodia B.; Zhang, Zheng; Marques, Helga S.; Hendrick, R. Edward; Yaffe, Martin J.; Pisano, Etta D.

    2014-01-01

    OBJECTIVE The purpose of this study was to assess the impact of computer-aided detection (CAD) systems on the performance of radiologists with digital mammograms acquired during the Digital Mammographic Imaging Screening Trial (DMIST). MATERIALS AND METHODS Only those DMIST cases with proven cancer status by biopsy or 1-year follow-up that had available digital images were included in this multireader, multicase ROC study. Two commercially available CAD systems for digital mammography were used: iCAD SecondLook, version 1.4; and R2 ImageChecker Cenova, version 1.0. Fourteen radiologists interpreted, without and with CAD, a set of 300 cases (150 cancer, 150 benign or normal) on the iCAD SecondLook system, and 15 radiologists interpreted a different set of 300 cases (150 cancer, 150 benign or normal) on the R2 ImageChecker Cenova system. RESULTS The average AUC was 0.71 (95% CI, 0.66–0.76) without and 0.72 (95% CI, 0.67–0.77) with the iCAD system (p = 0.07). Similarly, the average AUC was 0.71 (95% CI, 0.66–0.76) without and 0.72 (95% CI 0.67–0.77) with the R2 system (p = 0.08). Sensitivity and specificity differences without and with CAD for both systems also were not significant. CONCLUSION Radiologists in our studies rarely changed their diagnostic decisions after the addition of CAD. The application of CAD had no statistically significant effect on radiologist AUC, sensitivity, or specificity performance with digital mammograms from DMIST. PMID:25247960

  5. A computer-aided diagnosis system to detect pathologies in temporal subtraction images of chest radiographs

    NASA Astrophysics Data System (ADS)

    Looper, Jared; Harrison, Melanie; Armato, Samuel G.

    2016-03-01

    Radiologists often compare sequential radiographs to identify areas of pathologic change; however, this process is prone to error, as human anatomy can obscure the regions of change, causing the radiologists to overlook pathology. Temporal subtraction (TS) images can provide enhanced visualization of regions of change in sequential radiographs and allow radiologists to better detect areas of change in radiographs. Not all areas of change shown in TS images, however, are actual pathology. The purpose of this study was to create a computer-aided diagnostic (CAD) system that identifies which regions of change are caused by pathology and which are caused by misregistration of the radiographs used to create the TS image. The dataset used in this study contained 120 images with 74 pathologic regions on 54 images outlined by an experienced radiologist. High and low ("light" and "dark") gray-level candidate regions were extracted from the images using gray-level thresholding. Then, sampling techniques were used to address the class imbalance problem between "true" and "false" candidate regions. Next, the datasets of light candidate regions, dark candidate regions, and the combined set of light and dark candidate regions were used as training and testing data for classifiers by using five-fold cross validation. Of the classifiers tested (support vector machines, discriminant analyses, logistic regression, and k-nearest neighbors), the support vector machine on the combined candidates using synthetic minority oversampling technique (SMOTE) performed best with an area under the receiver operating characteristic curve value of 0.85, a sensitivity of 85%, and a specificity of 84%.

  6. Quality assurance and training procedures for computer-aided detection and diagnosis systems in clinical use.

    PubMed

    Huo, Zhimin; Summers, Ronald M; Paquerault, Sophie; Lo, Joseph; Hoffmeister, Jeffrey; Armato, Samuel G; Freedman, Matthew T; Lin, Jesse; Lo, Shih-Chung Ben; Petrick, Nicholas; Sahiner, Berkman; Fryd, David; Yoshida, Hiroyuki; Chan, Heang-Ping

    2013-07-01

    Computer-aided detection/diagnosis (CAD) is increasingly used for decision support by clinicians for detection and interpretation of diseases. However, there are no quality assurance (QA) requirements for CAD in clinical use at present. QA of CAD is important so that end users can be made aware of changes in CAD performance both due to intentional or unintentional causes. In addition, end-user training is critical to prevent improper use of CAD, which could potentially result in lower overall clinical performance. Research on QA of CAD and user training are limited to date. The purpose of this paper is to bring attention to these issues, inform the readers of the opinions of the members of the American Association of Physicists in Medicine (AAPM) CAD subcommittee, and thus stimulate further discussion in the CAD community on these topics. The recommendations in this paper are intended to be work items for AAPM task groups that will be formed to address QA and user training issues on CAD in the future. The work items may serve as a framework for the discussion and eventual design of detailed QA and training procedures for physicists and users of CAD. Some of the recommendations are considered by the subcommittee to be reasonably easy and practical and can be implemented immediately by the end users; others are considered to be "best practice" approaches, which may require significant effort, additional tools, and proper training to implement. The eventual standardization of the requirements of QA procedures for CAD will have to be determined through consensus from members of the CAD community, and user training may require support of professional societies. It is expected that high-quality CAD and proper use of CAD could allow these systems to achieve their true potential, thus benefiting both the patients and the clinicians, and may bring about more widespread clinical use of CAD for many other diseases and applications. It is hoped that the awareness of the need

  7. Evaluation of a stand-alone computer-aided detection system for acute intra-cranial hemorrhage in emergency environments

    NASA Astrophysics Data System (ADS)

    Fernandez, James; Deshpande, Ruchi; Wang, Ximing; Liu, Brent; Brazaitis, Michael; Munter, Fletcher; Liu, Margaret

    2011-03-01

    Acute intra-cranial hemorrhage (AIH) may result from traumatic brain injury (TBI). Successful management of AIH depends heavily on the speed and accuracy of diagnosis. Timely diagnosis in emergency environments in both civilian and military settings is difficult primarily due to severe time restraints and lack of resources. Often, diagnosis is performed by emergency physicians rather than trained radiologists. As a result, added support in the form of computer-aided detection (CAD) would greatly enhance the decision-making process and help in providing faster and more accurate diagnosis of AIH. This paper discusses the implementation of a CAD system in an emergency environment, and its efficacy in aiding in the detection of AIH.

  8. Detection of polyomavirus simian virus 40 tumor antigen DNA in AIDS-related systemic non-Hodgkin lymphoma

    NASA Technical Reports Server (NTRS)

    Vilchez, Regis A.; Lednicky, John A.; Halvorson, Steven J.; White, Zoe S.; Kozinetz, Claudia A.; Butel, Janet S.

    2002-01-01

    Systemic non-Hodgkin lymphoma (S-NHL) is a common malignancy during HIV infection, and it is hypothesized that infectious agents may be involved in the etiology. Epstein-Barr virus DNA is found in <40% of patients with AIDS-related S-NHL, suggesting that other oncogenic viruses, such as polyomaviruses, may play a role in pathogenesis. We analyzed AIDS-related S-NHL samples, NHL samples from HIV-negative patients, peripheral blood leukocytes from HIV-infected and -uninfected patients without NHL, and lymph nodes without tumors from HIV-infected patients. Specimens were examined by polymerase chain reaction analysis with use of primers specific for an N-terminal region of the oncoprotein large tumor antigen ( T-ag ) gene conserved among all three polyomaviruses (simian virus 40 [SV40], JC virus, and BK virus). Polyomavirus T-ag DNA sequences, proven to be SV40-specific, were detected more frequently in AIDS-related S-NHL samples (6 of 26) than in peripheral blood leukocytes from HIV-infected patients (6 of 26 vs. 0 of 69; p =.0001), NHL samples from HIV-negative patients (6 of 26 vs. 0 of 10; p =.09), or lymph nodes (6 of 26 vs. 0 of 7; p =.16). Sequences of C-terminal T-ag DNA from SV40 were amplified from two AIDS-related S-NHL samples. Epstein-Barr virus DNA sequences were detected in 38% (10 of 26) AIDS-related S-NHL samples, 50% (5 of 10) HIV-negative S-NHL samples, and 57% (4 of 7) lymph nodes. None of the S-NHL samples were positive for both Epstein-Barr virus DNA and SV40 DNA. Further studies of the possible role of SV40 in the pathogenesis of S-NHL are warranted.

  9. Early breast cancer detection with digital mammograms using Haar-like features and AdaBoost algorithm

    NASA Astrophysics Data System (ADS)

    Zheng, Yufeng; Yang, Clifford; Merkulov, Alex; Bandari, Malavika

    2016-05-01

    The current computer-aided detection (CAD) methods are not sufficiently accurate in detecting masses, especially in dense breasts and/or small masses (typically at their early stages). A small mass may not be perceived when it is small and/or homogeneous with surrounding tissues. Possible reasons for the limited performance of existing CAD methods are lack of multiscale analysis and unification of variant masses. The speed of CAD analysis is important for field applications. We propose a new CAD model for mass detection, which extracts simple Haar-like features for fast detection, uses AdaBoost approach for feature selection and classifier training, applies cascading classifiers for reduction of false positives, and utilizes multiscale detection for variant sizes of masses. In addition to Haar features, local binary pattern (LBP) and histograms of oriented gradient (HOG) are extracted and applied to mass detection. The performance of a CAD system can be measured with true positive rate (TPR) and false positives per image (FPI). We are collecting our own digital mammograms for the proposed research. The proposed CAD model will be initially demonstrated with mass detection including architecture distortion.

  10. Computed tomography in the early detection of asbestosis.

    PubMed Central

    Bégin, R; Ostiguy, G; Filion, R; Colman, N; Bertrand, P

    1993-01-01

    Computed tomography (CT; both conventional (CCT) and high resolution (HRCT)) scans of the thorax were evaluated to detect early asbestosis in 61 subjects exposed to asbestos dust in Québec for an average of 22(3) years and in five controls. The study was limited to consecutive cases with chest radiographs of the International Labour Organisation categories 0 or 1 determined independently. All subjects had a standard high kilovoltage posteroanterior and lateral chest radiograph, a set of 10-15 1 cm collimation CCT scans and a set of three to five 2 mm collimation HRCT scans in the upper, middle, and lower lung fields. Five experienced readers independently read each chest radiograph and sets of CT scans. On the basis of three to five readers agreeing for small opacities of the lung parenchyma, 12/46 (26%) negative chest radiographs were positive on CT scans, but 6/18 (33%) positive chest radiographs were negative on CT scan. On the basis of four to five readers agreeing on a chest radiograph, 36/66 (54%) subjects were normal (group A), 17/66 (26%) were indeterminate (group B), and 13/66 (20%) were abnormal (group C). By the combined readings of CCT and HRCT, 4/31 (13%) asbestos exposed subjects of group A were abnormal (p < 0.001), 6/17 (35%) of group B were abnormal, and in group C, 1/13 (8%) was normal, 2/13 were indeterminate, and 10/13 (77%) were abnormal. Separate readings of CCT and HRCT on distinct films in 14 subjects showed that all cases of asbestosis were abnormal on both CCT and HRCT. Inter-reader analyses by kappa statistics showed significantly better agreement for the readings of CT than the chest radiographs (p < 0.001), and for the reading of CCT than HRCT (p < 0.01). Thus CT scans of the thorax identifies significantly more irregular opacities consistent with the diagnosis of asbestosis than the chest radiograph (20 cases on CT scans v 13 on chest radiographs when four to five readers agreed, 13% of asbestos exposed subjects with normal chest

  11. Early detection of ocean acidification effects on marine calcification

    SciTech Connect

    Ilyina, T.; Zeebe, R. E.; E. Maier-Reimer; C. Heinze

    2009-02-19

    Ocean acidification is likely to impact calcification rates in many pelagic organisms, which may in turn cause significant changes in marine ecosystem structure. We examine effects of changes in marine CaCO3 production on total alkalinity (TA) in the ocean using the global biogeochemical ocean model HAMOCC. We test a variety of future calcification scenarios because experimental studies with different organisms have revealed a wide range of calcification sensitivities to CaCO3 saturation state. The model integrations start at a preindustrial steady state in the year 1800 and run until the year 2300 forced with anthropogenic CO2 emissions. Calculated trends in TA are evaluated taking into account the natural variability in ocean carbonate chemistry, as derived from repeat hydrographic transects. We conclude that the data currently available does not allow discerning significant trends in TA due to changes in pelagic calcification caused by ocean acidification. Given different calcification scenarios, our model calculations indicate that the TA increase over time will start being detectable by the year 2040, increasing by 5–30 umol/kg compared to the present-day values. In a scenario of extreme reductions in calcification, large TA changes relative to preindustrial conditions would have occurred at present, which we consider very unlikely. However, the time interval of reliable TA observations is too short to disregard this scenario. The largest increase in surface ocean TA is predicted for the tropical and subtropical regions. In order to monitor and quantify possible early signs of acidification effects, we suggest to specifically target those regions during future ocean chemistry surveys.

  12. Early detection of metabolic and energy disorders by thermal time series stochastic complexity analysis.

    PubMed

    Lutaif, N A; Palazzo, R; Gontijo, J A R

    2014-01-01

    Maintenance of thermal homeostasis in rats fed a high-fat diet (HFD) is associated with changes in their thermal balance. The thermodynamic relationship between heat dissipation and energy storage is altered by the ingestion of high-energy diet content. Observation of thermal registers of core temperature behavior, in humans and rodents, permits identification of some characteristics of time series, such as autoreference and stationarity that fit adequately to a stochastic analysis. To identify this change, we used, for the first time, a stochastic autoregressive model, the concepts of which match those associated with physiological systems involved and applied in male HFD rats compared with their appropriate standard food intake age-matched male controls (n=7 per group). By analyzing a recorded temperature time series, we were able to identify when thermal homeostasis would be affected by a new diet. The autoregressive time series model (AR model) was used to predict the occurrence of thermal homeostasis, and this model proved to be very effective in distinguishing such a physiological disorder. Thus, we infer from the results of our study that maximum entropy distribution as a means for stochastic characterization of temperature time series registers may be established as an important and early tool to aid in the diagnosis and prevention of metabolic diseases due to their ability to detect small variations in thermal profile.

  13. Computer-Aided Detection and diagnosis for prostate cancer based on mono and multi-parametric MRI: a review.

    PubMed

    Lemaître, Guillaume; Martí, Robert; Freixenet, Jordi; Vilanova, Joan C; Walker, Paul M; Meriaudeau, Fabrice

    2015-05-01

    Prostate cancer is the second most diagnosed cancer of men all over the world. In the last few decades, new imaging techniques based on Magnetic Resonance Imaging (MRI) have been developed to improve diagnosis. In practise, diagnosis can be affected by multiple factors such as observer variability and visibility and complexity of the lesions. In this regard, computer-aided detection and computer-aided diagnosis systems have been designed to help radiologists in their clinical practice. Research on computer-aided systems specifically focused for prostate cancer is a young technology and has been part of a dynamic field of research for the last 10 years. This survey aims to provide a comprehensive review of the state-of-the-art in this lapse of time, focusing on the different stages composing the work-flow of a computer-aided system. We also provide a comparison between studies and a discussion about the potential avenues for future research. In addition, this paper presents a new public online dataset which is made available to the research community with the aim of providing a common evaluation framework to overcome some of the current limitations identified in this survey.

  14. Stop PC-aids from spreading through your PC—An early warning system

    NASA Astrophysics Data System (ADS)

    Uniyal, Parashu R.; Manglik, A.

    1993-02-01

    A new software system is presented that runs in an IBM PC/DOS environment immediately after the booting up stage, and provides an effective early warning of an infection by a virus. The system identifies all the users of a PC by their names, passwords, and booking codes. An authentication program performs characteristic diagnostic tests for the presence of boot and file viruses in addition to ensuring that access is provided only to authorized users. A record of login-logout times and results of viral diagnostics is appended to a log file. If there was a viral infection during a user session, access is denied at the time of next login with a display of the report on the last session. Thus corrective measures are prompted not only on the infected fixed disk, but also on that unwary user's floppies. The system includes programs that facilitate recovery from infection by viruses that are unknown to existing commercial scanners and therapy programs at an installation. The system has been effective in keeping the size of the virus epidemic under control at an installation with a minimum sacrifice of the comforts that a PC/DOS combination offers.

  15. First detection of acalculous cholecystitis associated with Sarcocystis infection in a patient with AIDS.

    PubMed

    Agholi, Mahmoud; Heidarian, Hamid Reza; Moghadami, Mohsen; Hatam, Gholam Reza

    2014-06-01

    Acalculous cholecystitis and cholangitis are increasingly being recognized as complications of AIDS. The opportunistic parasites that have been most commonly associated with these disorders are Cryptosporidium species, Isospora belli, Cyclospora cayetanensis and Enterocytozoon bieneusi. The authors performed a parasitological survey on the gallbladder tissue sections of patients underwent cholecystectomy due to chronic acalculous cholecystitis at the Shiraz University of Medical Sciences, Iran. Light microscopic investigation in more than three hundred archived histopathological slides revealed the presence of sexual stages (i.e., mature sporocysts) of a coccidial protozoan in a patient with AIDS who developed acalculous cholecystitis as confirmed by histological, parasitological and molecular tests in which Sarcocystis species was the only identifiable pathogen in gallbladder sections. In the best of our knowledge it's the first documented case of chronic non-calculous cholecystitis due to Sarcocystis parasite in an Iranian AIDS patient from worldwide.

  16. 75 FR 73110 - Part C Early Intervention Services Grant under the Ryan White HIV/AIDS Program

    Federal Register 2010, 2011, 2012, 2013, 2014

    2010-11-29

    ... under the Ryan White HIV/AIDS Program AGENCY: Health Resources and Services Administration (HRSA), HHS. ACTION: Notice of a non-competitive one-time replacement award from Ryan White HIV/AIDS Program, Part C... replacement award to support comprehensive primary care services for persons living with HIV/AIDS,...

  17. 75 FR 54898 - Part C Early Intervention Services Grant Under the Ryan White HIV/AIDS Program

    Federal Register 2010, 2011, 2012, 2013, 2014

    2010-09-09

    ... Under the Ryan White HIV/AIDS Program AGENCY: Health Resources and Services Administration (HRSA... The Ryan White HIV/AIDS Program to support comprehensive primary care services for persons living with HIV/AIDS, including primary medical care, laboratory testing, oral health care, outpatient...

  18. 76 FR 30951 - Part C Early Intervention Services Grant Under the Ryan White HIV/AIDS Program

    Federal Register 2010, 2011, 2012, 2013, 2014

    2011-05-27

    ... Under the Ryan White HIV/AIDS Program AGENCY: Health Resources and Services Administration (HRSA), HHS. ACTION: Notice of Non-Competitive One-Time Program Expansion Supplement Award of Ryan White HIV/AIDS.../AIDS Program, Part C funds to the Tutwiler Clinic, Tutwiler, Mississippi, to support...

  19. 77 FR 57096 - Part C Early Intervention Services Grant Under the Ryan White HIV/AIDS Program

    Federal Register 2010, 2011, 2012, 2013, 2014

    2012-09-17

    ... Under the Ryan White HIV/AIDS Program AGENCY: Health Resources and Services Administration (HRSA... care services for persons living with HIV/AIDS, including primary adult HIV medical care, adult... the Ryan White HIV/AIDS Program through a contractual agreement with the Comprehensive Care...

  20. 75 FR 28263 - Part C Early Intervention Services Grant Under the Ryan White HIV/AIDS Program

    Federal Register 2010, 2011, 2012, 2013, 2014

    2010-05-20

    ... Under the Ryan White HIV/AIDS Program AGENCY: Health Resources and Services Administration (HRSA), HHS... with HIV/AIDS, including primary medical care, laboratory testing, oral health care, outpatient mental... providing services after March 31, 2010. HRSA's HIV/AIDS Bureau identified the Rural Health Group as...

  1. Advancing Early Detection of Autism Spectrum Disorder by Applying an Integrated Two-Stage Screening Approach

    ERIC Educational Resources Information Center

    Oosterling, Iris J.; Wensing, Michel; Swinkels, Sophie H.; van der Gaag, Rutger Jan; Visser, Janne C.; Woudenberg, Tim; Minderaa, Ruud; Steenhuis, Mark-Peter; Buitelaar, Jan K.

    2010-01-01

    Background: Few field trials exist on the impact of implementing guidelines for the early detection of autism spectrum disorders (ASD). The aims of the present study were to develop and evaluate a clinically relevant integrated early detection programme based on the two-stage screening approach of Filipek et al. (1999), and to expand the evidence…

  2. Radiolabeled Exosomes for the Early Detection of Metastases and to Predict Breast Cancer Premetastatic Niche

    DTIC Science & Technology

    2014-08-01

    2. REPORT TYPE Annual 3. DATES COVERED 1 Aug 2013 - 31 Jul 2014 4. TITLE AND SUBTITLE Radiolabeled Exosomes for the Early Detection of...proposed a a new approach for the early detection of metastatic disease in BC patients using cancer cell derived particles known as exosomes as a guide. We

  3. Early Detection of Amyloid Plaque in Alzheimer’s Disease via X-Ray Phase CT

    DTIC Science & Technology

    2014-06-01

    DATES COVERED 15 May 2013 - 14 May 2014 4. TITLE AND SUBTITLE 5a. CONTRACT NUMBER Early Detection of Amyloid Plaque in Alzheimer’s Disease via...SUPPLEMENTARY NOTES 14. ABSTRACT In this project, we proposed to develop the imaging method for early detection of amyloid plaque in Alzheimer’s

  4. Early Detection of Amyloid Plaque in Alzheimer’s Disease Via X-ray Phase CT

    DTIC Science & Technology

    2015-06-01

    SUBTITLE 5a. CONTRACT NUMBER W81XWH-12-1-0138 Early Detection of Amyloid Plaque in Alzheimer’s Disease Via X-ray Phase CT 5b. GRANT NUMBER 5c...ray phase contrast CT imaging method for early detection of amyloid plaque in Alzheimer’s disease. As specified in SA#1 and the project timeline, the

  5. Progress towards an AIS early detection monitoring network for the Great Lakes

    EPA Science Inventory

    As an invasion prone location, the lower St. Louis River system (SLR) has been a case study for ongoing research to develop the framework for a practical Great Lakes monitoring network for early detection of aquatic invasive species (AIS). Early detection, however, necessitates f...

  6. Cancer in global health: how do prevention and early detection strategies relate?

    PubMed

    Ilbawi, André M; Anderson, Benjamin O

    2015-03-11

    National cancer control plans are needed to stem the rapidly rising global cancer burden. Prevention and early detection are complementary but distinct strategies for cancer control. Some cancers are prevented through behavior and/or environmental modifications that reduce cancer risk, whereas other cancers are more amenable to treatment when they are successfully diagnosed at early stages. Prevention and early detection strategies should be prioritized on the basis of country-specific cancer demographics, modifiable risk factor distribution, and existing treatment resource availability. Following an individualized plan integrating prevention and early detection strategies, deficits can be targeted to strengthen national health systems for cancer control.

  7. The importance of early detection of lip cancer risk groups

    NASA Astrophysics Data System (ADS)

    Fratila, M.; Rosu, S.

    2014-03-01

    in frequency as well as in the therapeutic problems raised. In the face and oral cavity cancer catagory, lip represents 2% of all cases and 19-25% of the total facial cancer area. Lip cancer is one of the localizations that, when detected early, can benefit from an effective therapy with high chances of healing. In order to achieve a complex treatment, interdisciplinary collaboration is required, only thus being able to determine both the therapeutic methods as well as their association.

  8. Young Children, HIV/AIDS and Gender: A Summary Review. Working Papers in Early Childhood Development. Young Children and HIV/AIDS Sub-Series, No. 39

    ERIC Educational Resources Information Center

    Bhana, Deevia; Brixen, Farhana Farook

    2006-01-01

    Studies point to the existence of a global HIV/AIDS emergency among young people. An estimated 6,000 youths a day become infected, an average of one new infection every 14 seconds. The most socially and economically disadvantaged young people appear to be especially at risk of infection, and young women in developing contexts are at the greatest…

  9. Simultaneous inference for longitudinal data with detection limits and covariates measured with errors, with application to AIDS studies.

    PubMed

    Wu, Lang

    2004-06-15

    In AIDS studies such as HIV viral dynamics, statistical inference is often complicated because the viral load measurements may be subject to left censoring due to a detection limit and time-varying covariates such as CD4 counts may be measured with substantial errors. Mixed-effects models are often used to model the response and the covariate processes in these studies. We propose a unified approach which addresses the censoring and measurement errors simultaneously. We estimate the model parameters by a Monte-Carlo EM algorithm via the Gibbs sampler. A simulation study is conducted to compare the proposed method with the usual two-step method and a naive method. We find that the proposed method produces approximately unbiased estimates with more reliable standard errors. A real data set from an AIDS study is analysed using the proposed method.

  10. NCCN Guidelines Insights: Prostate Cancer Early Detection, Version 2.2016.

    PubMed

    Carroll, Peter R; Parsons, J Kellogg; Andriole, Gerald; Bahnson, Robert R; Castle, Erik P; Catalona, William J; Dahl, Douglas M; Davis, John W; Epstein, Jonathan I; Etzioni, Ruth B; Farrington, Thomas; Hemstreet, George P; Kawachi, Mark H; Kim, Simon; Lange, Paul H; Loughlin, Kevin R; Lowrance, William; Maroni, Paul; Mohler, James; Morgan, Todd M; Moses, Kelvin A; Nadler, Robert B; Poch, Michael; Scales, Chuck; Shaneyfelt, Terrence M; Smaldone, Marc C; Sonn, Geoffrey; Sprenkle, Preston; Vickers, Andrew J; Wake, Robert; Shead, Dorothy A; Freedman-Cass, Deborah A

    2016-05-01

    The NCCN Clinical Practice Guidelines in Oncology (NCCN Guidelines) for Prostate Cancer Early Detection provide recommendations for prostate cancer screening in healthy men who have elected to participate in an early detection program. The NCCN Guidelines focus on minimizing unnecessary procedures and limiting the detection of indolent disease. These NCCN Guidelines Insights summarize the NCCN Prostate Cancer Early Detection Panel's most significant discussions for the 2016 guideline update, which included issues surrounding screening in high-risk populations (ie, African Americans, BRCA1/2 mutation carriers), approaches to refine patient selection for initial and repeat biopsies, and approaches to improve biopsy specificity.

  11. Early Detection of Dyslexia in Children Act of 2009

    THOMAS, 111th Congress

    Rep. Jackson-Lee, Sheila [D-TX-18

    2009-01-06

    03/16/2009 Referred to the Subcommittee on Early Childhood, Elementary, and Secondary Education. (All Actions) Tracker: This bill has the status IntroducedHere are the steps for Status of Legislation:

  12. Use of Current 2010 Forest Disturbance Monitoring Products for the Conterminous United States in Aiding a National Forest Threat Early Warning System

    NASA Technical Reports Server (NTRS)

    Spruce, Joseph P.; Hargrove, William; Gasser, J.; Smoot, J.; Kuper, P.

    2010-01-01

    This presentation discusses contributions of near real time (NRT) MODIS forest disturbance detection products for the conterminous United States to an emerging national forest threat early warning system (EWS). The latter is being developed by the USDA Forest Service s Eastern and Western Environmental Threat Centers with help from NASA Stennis Space Center and the Oak Ridge National Laboratory. Building off work done in 2009, this national and regional forest disturbance detection and viewing capability of the EWS employs NRT MODIS NDVI data from the USGS eMODIS group and historical NDVI data from standard MOD13 products. Disturbance detection products are being computed for 24 day composites that are refreshed every 8 days. Products for 2010 include 42 dates of the 24 day composites. For each compositing date, we computed % change in forest maximum NDVI products for 2010 with respect to each of three historical baselines of 2009, 2007-2009, and 2003-2009,. The three baselines enable one to view potential current, recent, and longer term forest disturbances. A rainbow color table was applied to each forest change product so that potential disturbances (NDVI drops) were identified in hot color tones and growth (NDVI gains) in cold color tones. Example products were provided to end-users responsible for forest health monitoring at the Federal and State levels. Large patches of potential forest disturbances were validated based on comparisons with available reference data, including Landsat and field survey data. Products were posted on two internet mapping systems for US Forest Service internal and collaborator use. MODIS forest disturbance detection products were computed and posted for use in as little as 1 day after the last input date of the compositing period. Such products were useful for aiding aerial disturbance detection surveys and for assessing disturbance persistence on both inter- and intra-annual scales. Multiple 2010 forest disturbance events were

  13. Use of Current 2010 Forest Disturbance Monitoring Products for the Conterminous United States in Aiding a National Forest Threat Early Warning System

    NASA Astrophysics Data System (ADS)

    Spruce, J.; Hargrove, W. W.; Gasser, J.; Smoot, J.; Kuper, P.

    2010-12-01

    This presentation discusses contributions of near real time (NRT) MODIS forest disturbance detection products for the conterminous United States to an emerging national forest threat early warning system (EWS). The latter is being developed by the USDA Forest Service’s Eastern and Western Environmental Threat Centers with help from NASA Stennis Space Center and the Oak Ridge National Laboratory. Building off work done in 2009, this national and regional forest disturbance detection and viewing capability of the EWS employs NRT MODIS NDVI data from the USGS eMODIS group and historical NDVI data from standard MOD13 products. Disturbance detection products are being computed for 24 day composites that are refreshed every 8 days. Products for 2010 include 42 dates of the 24 day composites. For each compositing date, we computed % change in forest maximum NDVI products for 2010 with respect to each of three historical baselines of 2009, 2007-2009, and 2003-2009. The three baselines enable one to view potential current, recent, and longer term forest disturbances. A rainbow color table was applied to each forest change product so that potential disturbances (NDVI drops) were identified in hot color tones and growth (NDVI gains) in cold color tones. Example products were provided to end-users responsible for forest health monitoring at the Federal and State levels. Large patches of potential forest disturbances were validated based on comparisons with available reference data, including Landsat and field survey data. Products were posted on two internet mapping systems for US Forest Service internal and collaborator use. MODIS forest disturbance detection products were computed and posted for use in as little as 1 day after the last input date of the compositing period. Such products were useful for aiding aerial disturbance detection surveys and for assessing disturbance persistence on both inter- and intra-annual scales. Multiple 2010 forest disturbance events were

  14. Root Cause Analysis of Sexual Assault: Shifting from Early Detection to a Vaccine

    DTIC Science & Technology

    2015-02-17

    AIR WAR COLLEGE AIR UNIVERSITY ROOT CAUSE ANALYSIS OF SEXUAL ASSAULT: SHIFTING FROM EARLY DETECTION TO A VACCINE by Christine F.L. Holliday, Lt...2015 4. TITLE AND SUBTITLE Root Cause Analysis Of Sexual Assault: Shifting From Early Detection To A Vaccine 5a. CONTRACT NUMBER 5b. GRANT NUMBER... vaccine . Unarguably, the Air Force needs to remedy the cancer with detection, reporting, and treatment when sexual assault does occur. But current AF

  15. Early Detection of Breast Cancer via Multiplane Correlation Breast Imaging

    DTIC Science & Technology

    2007-04-01

    superior diagnostic information. Towards this end, a LG CHO mathematical observer model was constructed to assess the detectability of a simulated mass...on mathematical observer model was developed to assess the detectability of the mass. Detectability was measured in terms of Receiver Operating...This task has been accomplished. The goal of this task was to develop an observer model which could be used to quantify the performance of MCI in

  16. Early detection of schizophrenia: current evidence and future perspectives

    PubMed Central

    HÄFNER, HEINZ; MAURER, KURT

    2006-01-01

    Research into the early course of schizophrenia has identified a prepsychotic prodromal stage (mean duration: 4.8 years) and a psychotic prephase (mean duration: 1.3 years). Comparisons of individually matched samples have demonstrated prodromal symptoms common to schizophrenia and moderate to severe depression. It is not until positive symptoms emerge that psychosis and mood disorders become distinguishable from each other. In both disorders the prodromal stage early produces functional impairment and related social consequences. Hence, early intervention is of great public health relevance. This intervention is targeted at manifest symptoms and not at the underlying, still unknown disease process. Cognitive-behavioural therapy at the prepsychotic prodromal stage seems to favourably influence the short-term illness course. In the psychotic prephase, a combination with low-dose antipsychotics seems to have some efficacy. The aim of early recognition by the instruments discussed in this paper is to permit the identification of the largest possible proportion of at-risk persons as early as possible and their referral to appropriate treatment. PMID:17139339

  17. Patient-Specific Early Seizure Detection from Scalp EEG

    PubMed Central

    Minasyan, Georgiy R.; Chatten, John B.; Chatten, Martha Jane; Harner, Richard N.

    2010-01-01

    Objective Develop a method for automatic detection of seizures prior to or immediately after clinical onset using features derived from scalp EEG. Methods This detection method is patient-specific. It uses recurrent neural networks and a variety of input features. For each patient we trained and optimized the detection algorithm for two cases: 1) during the period immediately preceding seizure onset, and 2) during the period immediately following seizure onset. Continuous scalp EEG recordings (duration 15 – 62 h, median 25 h) from 25 patients, including a total of 86 seizures, were used in this study. Results Pre-onset detection was successful in 14 of the 25 patients. For these 14 patients, all of the testing seizures were detected prior to seizure onset with a median pre-onset time of 51 sec and false positive rate was 0.06/h. Post-onset detection had 100% sensitivity, 0.023/hr false positive rate and median delay of 4 sec after onset. Conclusions The unique results of this study relate to pre-onset detection. Significance Our results suggest that reliable pre-onset seizure detection may be achievable for a significant subset of epilepsy patients without use of invasive electrodes. PMID:20461014

  18. A novel magneto-DNA duplex probe for bacterial DNA detection based on exonuclease III-aided cycling amplification.

    PubMed

    Zeng, Yan; Wan, Yi; Zhang, Dun; Qi, Peng

    2015-01-01

    A novel magneto-DNA duplex probe for bacterial DNA detection based on exonuclease III (Exo-III) aided cycling amplification has been developed. This magneto-DNA duplex probe contains a partly hybrid fluorophore-modified capture probe and a fluorophore-modified signal probe with magnetic microparticle as carrier. In the presence of a perfectly matched target bacterial DNA, blunt 3'-terminus of the capture probe is formed, activating the Exo-III aided cycling amplification. Thus, Exo-III catalyzes the stepwise removal of mononucleotides from this terminus, releasing both fluorophore-modified signal probe, fluorescent dyes of the capture probe and target DNA. The released target DNA then starts a new cycle, while released fluorescent fragments are recovered with magnetic separation for fluorescence signal collection. This system exhibited sensitive detection of bacterial DNA, with a detection limit of 14 pM because of the unique cleavage function of Exo-III, high fluorescence intensity, and separating function of magneto-DNA duplex probes. Besides this sensitivity, this strategy exhibited excellent selectivity with mismatched bacterial DNA targets and other bacterial species targets and good applicability in real seawater samples, hence, this strategy could be potentially used for qualitative and quantitative analysis of bacteria.

  19. Detection of HTLV-III RNA in lungs of patients with AIDS and pulmonary involvement

    SciTech Connect

    Chayt, K.J.; Harper, M.E.; Marselle, L.M.; Lewin, E.B.; Rose, R.M.; Oleske, J.M.; Epstein, L.G.; Wong-Staal, F.; Gallo, R.C.

    1986-11-07

    A majority of pediatric patients and rare adult patients with the acquired immunodeficiency syndrome (AIDS) develop a chronic respiratory disorder referred to as lymphocytic interstitial pneumonitis (LIP). Efforts to identify an infectious agent responsible for this process so far have failed. In this study, frozen sections of lungs from patients with AIDS and pulmonary disease were tested by in situ molecular hybridization for the presence of cells infected with human T-cell lymphotropic virus type III (HTLV-III) and expressing viral RNA. In the case of an infant with LIP, a relatively high frequency (0.1%) of cells in the lung were found to be positive for HTLV-III RNA. This number is the lower limit of total cells infected since the in situ hybridization technique as applied in this study depends on expression of HTLV-III genes, and previous evidence indicates that a proportion of cells infected with HTLV-III may not express viral RNA. Moreover, this degree of infection of the lung is likely limited to LIP, since in ten patients with AIDS and pulmonary diseases other than LIP, only 0% to 0.002% of cells in lung were positive for viral RNA expression. Thus, HTLV-III may play a direct causal role in the development of LIP in infected patients, implicating its involvement in yet another of the diverse clinical diseases associated with this virus.

  20. Photonic crystal enhanced fluorescence for early breast cancer biomarker detection.

    PubMed

    Cunningham, Brian T; Zangar, Richard C

    2012-08-01

    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.

  1. Structural brain alterations can be detected early in HIV infection

    PubMed Central

    Ochs, Renee; Wu, Ying; Sammet, Christina L.; Shoukry, Alfred; Epstein, Leon G.

    2012-01-01

    Objective: Brain changes occurring early in HIV infection are not well characterized. The Chicago Early HIV Infection Study aimed to evaluate the presence and extent of structural brain alterations using quantitative MRI. Methods: Forty-three HIV and 21 control subjects were enrolled. Mean length of infection was estimated as less than 1 year based on assay results. High-resolution neuroanatomical images were acquired. Automated image analysis was used to derive measurements for total brain, ventricular volume, and for tissue classes (total and cortical gray matter, white matter, and CSF). A separate image analysis algorithm was used to calculate measurements for individual brain regions. Cognitive function was assessed by neuropsychological evaluation. Results: Reductions were quantified in total (p = 0.0547) and cortical (p = 0.0109) gray matter in the HIV group. Analysis of individual brain regions with a separate image analysis algorithm revealed consistent findings of reductions in cerebral cortex (p = 0.042) and expansion of third ventricle (p = 0.046). The early HIV group also demonstrated weaker performance on several neuropsychological tests, with the most pronounced difference in psychomotor speed (p = 0.001). Conclusions: This cross-sectional brain volumetric study indicates structural alterations early in HIV infection. The findings challenge the prevailing assumption that the brain is spared in this period. Revisiting the question of the brain's vulnerability to processes unfolding in the initial virus-host interaction and the early natural history may yield new insights into neurologic injury in HIV infection and inform neuroprotection strategies. PMID:23197750

  2. Screening, early detection, education, and trends for melanoma: current status (2007-2013) and future directions: Part I. Epidemiology, high-risk groups, clinical strategies, and diagnostic technology.

    PubMed

    Mayer, Jonathan E; Swetter, Susan M; Fu, Teresa; Geller, Alan C

    2014-10-01

    While most cancers have shown both decreased incidence and mortality over the past several decades, the incidence of melanoma has continued to grow, and mortality has only recently stabilized in the United States and in many other countries. Certain populations, such as men >60 years of age and lower socioeconomic status groups, face a greater burden from disease. For any given stage and across all ages, men have shown worse melanoma survival than women, and low socioeconomic status groups have increased levels of mortality. Novel risk factors can help identify populations at greatest risk for melanoma and can aid in targeted early detection. Risk assessment tools have been created to identify high-risk patients based on various factors, and these tools can reduce the number of patients needed to screen for melanoma detection. Diagnostic techniques, such as dermatoscopy and total body photography, and new technologies, such as multispectral imaging, may increase the accuracy and reliability of early melanoma detection.

  3. Early detection of open fires and spontaneous combustion in mines.

    PubMed

    Hornsby, C D; Makower, A D

    1983-01-01

    Until fairly recently the detection of heatings was based on men seeing or smelling smoke and the laboratory analysis of mine air samples. Continuous monitoring of carbon monoxide by means of tube bundle systems has been a big step forward in detecting spontaneous combustion of coal and has found widespread acceptance in U.K. mines; general fire detection relies on shaft monitors. Both are based on infra-red analysers like the Unor CO-analysers that can be installed underground. In recent years British laboratories have developed and adapted several devices based on other principles: ionisation, semi-conductors, electro-chemical cells, thermistors, detection "thermal noise", infra-red imagers. All these instruments are briefly described by the authors in this paper presented by Mr. Makower.

  4. Early Commitment on Financial Aid and College Decision Making of Poor Students: Evidence from a Randomized Evaluation in Rural China

    ERIC Educational Resources Information Center

    Liu, Chengfang; Zhang, Linxiu; Luo, Renfu; Wang, Xiaobing; Rozelle, Scott; Sharbono, Brian; Adams, Jennifer; Shi, Yaojiang; Yue, Ai; Li, Hongbin; Glauben, Thomas

    2011-01-01

    Many educational systems have struggled with the question about how best to give out financial aid. In particular, if students do not know the amount of financial aid that they can receive before they make a decision about where to go to college and what major to study, it may distort their decision. This study utilizes an experiment (implemented…

  5. Detection of the microsporidian parasite Enterocytozoon bieneusi in specimens from patients with AIDS by PCR.

    PubMed Central

    Velásquez, J N; Carnevale, S; Guarnera, E A; Labbé, J H; Chertcoff, A; Cabrera, M G; Rodríguez, M I

    1996-01-01

    Microsporidia are protozoa parasites responsible for significant gastrointestinal disease in patients infected with human immunodeficiency virus. We evaluated a PCR assay of stool samples, duodenal aspirates, and biopsy specimens from patients with Enterocytozoon bieneusi infection. A 210-bp DNA fragment of the unique rRNA intergenic spacer could be amplified from all samples infected with E. bieneusi, but no amplification was seen by using DNA purified from samples with Septata intestinalis or other parasites and from negative control human cells. These results suggest that the PCR in stool samples may be a useful tool for the diagnosis of intestinal microsporidiosis in patients with AIDS. PMID:8940480

  6. Early Detection of Breast Cancer via Multiplane Correlation Breast Imaging

    DTIC Science & Technology

    2007-04-01

    survival rates of patients through early diagnosis. Additionally, disorders such as hemochromatosis (liver iron overload associated with...34 Curr Opin Hematol, vol. 4, pp. 436-41, 1997. [15] L. W. Powell and K. J. Isselbacher, " Hemochromatosis ," in Harrison’s Principles of Internal...Medicine: McGraw-Hill. [16] L. W. Powell, "Diagnosis of hemochromatosis ," Semin Gastrointest Dis, vol. 13, pp. 80-8, 2002. [17] L. W. Powell, D. K

  7. Computer-aided detection of malpositioned endotracheal tubes in portable chest radiographs

    NASA Astrophysics Data System (ADS)

    Huo, Zhimin; Mao, Hongda; Zhang, Jane; Sykes, Anne-Marie; Munn, Samson; Wandtke, John

    2014-03-01

    Portable chest radiographic images play a critical role in examining and monitoring the condition and progress of critically ill patients in intensive care units (ICUs). For example, portable chest images are acquired to ensure that tubes inserted into the patients are properly positioned for effective treatment. In this paper, we present a system that automatically detects the position of an endotracheal tube (ETT), which is inserted into the trachea to assist patients who have difficulty breathing. The computer detection includes the detections of the lung field, spine line, and aortic arch. These detections lead to the identification of regions of interest (ROIs) used for the subsequent detection of the ETT and carina. The detection of the ETT and carina is performed within the ROIs. Our ETT and carina detection methods were trained and tested on a large number of images. The locations of the ETT and carina were confirmed by an experienced radiologist for the purpose of performance evaluation. Our ETT detection achieved an average sensitivity of 85% at less than 0.1 false-positive detections per image. The carina approach correctly identified the carina location within a 10 mm distance from the truth location for 81% of the 217 testing images. We expect our system will assist ICU clinicians to detect malpositioned ETTs and reposition malpositioned ETTs more effectively and efficiently.

  8. Large-scale validation of a computer-aided polyp detection algorithm for CT colonography using cluster computing

    NASA Astrophysics Data System (ADS)

    Bitter, Ingmar; Brown, John E.; Brickman, Daniel; Summers, Ronald M.

    2004-04-01

    The presented method significantly reduces the time necessary to validate a computed tomographic colonography (CTC) computer aided detection (CAD) algorithm of colonic polyps applied to a large patient database. As the algorithm is being developed on Windows PCs and our target, a Beowulf cluster, is running on Linux PCs, we made the application dual platform compatible using a single source code tree. To maintain, share, and deploy source code, we used CVS (concurrent versions system) software. We built the libraries from their sources for each operating system. Next, we made the CTC CAD algorithm dual-platform compatible and validate that both Windows and Linux produced the same results. Eliminating system dependencies was mostly achieved using the Qt programming library, which encapsulates most of the system dependent functionality in order to present the same interface on either platform. Finally, we wrote scripts to execute the CTC CAD algorithm in parallel. Running hundreds of simultaneous copies of the CTC CAD algorithm on a Beowulf cluster computing network enables execution in less than four hours on our entire collection of over 2400 CT scans, as compared to a month a single PC. As a consequence, our complete patient database can be processed daily, boosting research productivity. Large scale validation of a computer aided polyp detection algorithm for CT colonography using cluster computing significantly improves the round trip time of algorithm improvement and revalidation.

  9. Computer-aided detection of lung nodules: false positive reduction using a 3D gradient field method

    NASA Astrophysics Data System (ADS)

    Ge, Zhanyu; Sahiner, Berkman; Chan, Heang-Ping; Hadjiiski, Lubomir M.; Wei, Jun; Bogot, Naama; Cascade, Philip N.; Kazerooni, Ella A.; Zhou, Chuan

    2004-05-01

    We are developing a computer-aided detection system to aid radiologists in diagnosing lung cancer in thoracic computed tomographic (CT) images. The purpose of this study was to improve the false-positive (FP) reduction stage of our algorithm by developing and incorporating a gradient field technique. This technique extracts 3D shape information from the gray-scale values within a volume of interest. The gradient field feature values are higher for spherical objects, and lower for elongated and irregularly-shaped objects. A data set of 55 thin CT scans from 40 patients was used to evaluate the usefulness of the gradient field technique. After initial nodule candidate detection and rule-based first stage FP reduction, there were 3487 FP and 65 true positive (TP) objects in our data set. Linear discriminant classifiers with and without the gradient field feature were designed for the second stage FP reduction. The accuracy of these classifiers was evaluated using the area Az under the receiver operating characteristic (ROC) curve. The Az values were 0.93 and 0.91 with and without the gradient field feature, respectively. The improvement with the gradient field feature was statistically significant (p=0.01).

  10. Ischemic Stroke Detection System with a Computer-Aided Diagnostic Ability Using an Unsupervised Feature Perception Enhancement Method

    PubMed Central

    Tyan, Yeu-Sheng; Wu, Ming-Chi; Chin, Chiun-Li; Kuo, Yu-Liang; Lee, Ming-Sian; Chang, Hao-Yan

    2014-01-01

    We propose an ischemic stroke detection system with a computer-aided diagnostic ability using a four-step unsupervised feature perception enhancement method. In the first step, known as preprocessing, we use a cubic curve contrast enhancement method to enhance image contrast. In the second step, we use a series of methods to extract the brain tissue image area identified during preprocessing. To detect abnormal regions in the brain images, we propose using an unsupervised region growing algorithm to segment the brain tissue area. The brain is centered on a horizontal line and the white matter of the brain's inner ring is split into eight regions. In the third step, we use a coinciding regional location method to find the hybrid area of locations where a stroke may have occurred in each cerebral hemisphere. Finally, we make corrections and mark the stroke area with red color. In the experiment, we tested the system on 90 computed tomography (CT) images from 26 patients, and, with the assistance of two radiologists, we proved that our proposed system has computer-aided diagnostic capabilities. Our results show an increased stroke diagnosis sensitivity of 83% in comparison to 31% when radiologists use conventional diagnostic images. PMID:25610453

  11. Ischemic stroke detection system with a computer-aided diagnostic ability using an unsupervised feature perception enhancement method.

    PubMed

    Tyan, Yeu-Sheng; Wu, Ming-Chi; Chin, Chiun-Li; Kuo, Yu-Liang; Lee, Ming-Sian; Chang, Hao-Yan

    2014-01-01

    We propose an ischemic stroke detection system with a computer-aided diagnostic ability using a four-step unsupervised feature perception enhancement method. In the first step, known as preprocessing, we use a cubic curve contrast enhancement method to enhance image contrast. In the second step, we use a series of methods to extract the brain tissue image area identified during preprocessing. To detect abnormal regions in the brain images, we propose using an unsupervised region growing algorithm to segment the brain tissue area. The brain is centered on a horizontal line and the white matter of the brain's inner ring is split into eight regions. In the third step, we use a coinciding regional location method to find the hybrid area of locations where a stroke may have occurred in each cerebral hemisphere. Finally, we make corrections and mark the stroke area with red color. In the experiment, we tested the system on 90 computed tomography (CT) images from 26 patients, and, with the assistance of two radiologists, we proved that our proposed system has computer-aided diagnostic capabilities. Our results show an increased stroke diagnosis sensitivity of 83% in comparison to 31% when radiologists use conventional diagnostic images.

  12. A computer-aided approach to detect the fetal behavioral states using multi-sensor Magnetocardiographic recordings.

    PubMed

    Vairavan, S; Ulusar, U D; Eswaran, H; Preissl, H; Wilson, J D; Mckelvey, S S; Lowery, C L; Govindan, R B

    2016-02-01

    We propose a novel computational approach to automatically identify the fetal heart rate patterns (fHRPs), which are reflective of sleep/awake states. By combining these patterns with presence or absence of movements, a fetal behavioral state (fBS) was determined. The expert scores were used as the gold standard and objective thresholds for the detection procedure were obtained using Receiver Operating Characteristics (ROC) analysis. To assess the performance, intraclass correlation was computed between the proposed approach and the mutually agreed expert scores. The detected fHRPs were then associated to their corresponding fBS based on the fetal movement obtained from fetal magnetocardiogaphic (fMCG) signals. This approach may aid clinicians in objectively assessing the fBS and monitoring fetal wellbeing.

  13. The Master Hearing Aid

    PubMed Central

    Curran, James R.

    2013-01-01

    As early as the 1930s the term Master Hearing Aid (MHA) described a device used in the fitting of hearing aids. In their original form, the MHA was a desktop system that allowed for simulated or actual adjustment of hearing aid components that resulted in a changed hearing aid response. Over the years the MHA saw many embodiments and contributed to a number of rationales for the fitting of hearing aids. During these same years, the MHA was viewed by many as an inappropriate means of demonstrating hearing aids; the audio quality of the desktop systems was often superior to the hearing aids themselves. These opinions and the evolution of the MHA have molded the modern perception of hearing aids and the techniques used in the fitting of hearing aids. This article reports on a history of the MHA and its influence on the fitting of hearing aids. PMID:23686682

  14. Early detection of foot ulcers through asymmetry analysis

    NASA Astrophysics Data System (ADS)

    Kaabouch, Naima; Chen, Yi; Hu, Wen-Chen; Anderson, Julie; Ames, Forrest; Paulson, Rolf

    2009-02-01

    Foot ulcers affect millions of Americans annually. Areas that are likely to ulcerate have been associated with increased local skin temperatures due to inflammation and enzymatic autolysis of tissue. Conventional methods to assess skin, including inspection and palpation, may be valuable approaches, but usually they do not detect changes in skin integrity until an ulcer has already developed. Conversely, infrared imaging is a technology able to assess the integrity of the skin and its many layers, thus having the potential to index the cascade of physiological events in the prevention, assessment, and management of foot ulcers. In this paper, we propose a technique, asymmetry analysis, to automatically analyze the infrared images in order to detect inflammation. Preliminary results show that the proposed technique can be reliable and efficient to detect inflammation and, hence, predict potential ulceration.

  15. Ruminal temperature may aid in the detection of subacute ruminal acidosis.

    PubMed

    AlZahal, O; Kebreab, E; France, J; Froetschel, M; McBride, B W

    2008-01-01

    The objective of this study was to investigate the relationship between ruminal pH and ruminal temperature and to develop a predictive equation that can aid in the diagnosis of subacute ruminal acidosis (SARA). Six rumen-fistulated lactating Holstein dairy cows (639 +/- 51 kg body weight) were used in the study. Cows were randomly allocated to 1 of 2 dietary treatments: control (% of dry matter, 40% corn silage, 27% mixed haylage, 7% alfalfa hay, 18% protein supplement, 4% ground corn, and 4% wheat bran) or SARA total mixed ration (% of dry matter, 31% corn silage, 20% mixed haylage, 5% alfalfa hay, 15% protein supplement, 19% ground wheat, and 10% ground barley) and were fed daily at 0700 and 1300 h. The experiment consisted of 1 wk of adaptation followed by 1 wk of treatment. Ruminal pH and ruminal temperature were simultaneously and continuously recorded every minute for 4 d per week using the same indwelling electrode. Subacute-acidotic cows spent more time (min/d) below ruminal pH 5.6 and a greater time above 39.2 degrees C than control cows. Ruminal pH nadir had a negative relationship with its corresponding ruminal temperature (R2 = 0.77). Therefore, ruminal temperature may have potential to predict ruminal pH and thus aid in the diagnosis of SARA.

  16. The development of chlorophyll-based markers in poultry diets to aid detection of fluorescent fecal contamination.

    PubMed

    Lee, M R F; Leemans, D; Theobald, V J; Fleming, H R; Gay, A P

    2013-12-01

    Incidents of foodborne illness associated with consuming undercooked or raw chicken are often linked to 2 causative pathogens: Campylobacter spp. or Salmonella spp. Numerous studies have shown that contamination of carcasses results when pathogens are transferred from the intestinal tract or fecal material on feet and feathers to the dressed carcass. Ultraviolet spectral imaging to detect surface fecal and ingesta contamination on poultry carcasses may provide a solution to aid detection. However, poultry diets do not provide sufficiently high levels of natural fluorophores for this system to be reliable. This study investigated the potential of chlorophyll-based feed additives to improve fluorescence of the feces and narrow the excitation and emission wavelengths to aid in the development of a simple visualization system. Twenty-four hens (Gallus gallus domesticus) were allocated at random to 1 of 4 treatments: control (C, no marker), Zn chlorophyllin, Mg chlorophyllin, or Fe chlorophyllin. All markers were incorporated into mash before pelleting at a rate of 1 g/kg of DM. The experiment consisted of two 4 × 4 Latin squares with each period consisting of 2 wk. Feces were collected and extracted in acetone:water (50:50; vol/vol) with fecal fluorescence emission spectra determined using a Jasco FP-6200 Spectrofluorometer with excitation at 382 nm. A main peak evolved at wavelength 670 nm with the total area under the peak used as fluorescence intensity. Following 7 d of marker supplementation, the 3 markers improved the fluorescence intensity by ×14.8, 12.8, and 6.9 for Fe, Mg, and Zn chlorophyllin, respectively, compared with the control. The addition of feces containing Mg chlorophyllin to chicken carcass increased detection of the feces compared with feces with no marker. Also, due to the plain background of chicken skin, a simple image at 675 nm with appropriate thresholds would allow detection of contaminated carcasses at the current slaughter line speed

  17. 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...

  18. A method to test the reproducibility and to improve performance of computer-aided detection schemes for digitized mammograms

    SciTech Connect

    Zheng Bin; Gur, David; Good, Walter F.; Hardesty, Lara A.

    2004-11-01

    The purpose of this study is to develop a new method for assessment of the reproducibility of computer-aided detection (CAD) schemes for digitized mammograms and to evaluate the possibility of using the implemented approach for improving CAD performance. Two thousand digitized mammograms (representing 500 cases) with 300 depicted verified masses were selected in the study. Series of images were generated for each digitized image by resampling after a series of slight image rotations. A CAD scheme developed in our laboratory was applied to all images to detect suspicious mass regions. We evaluated the reproducibility of the scheme using the detection sensitivity and false-positive rates for the original and resampled images. We also explored the possibility of improving CAD performance using three methods of combining results from the original and resampled images, including simple grouping, averaging output scores, and averaging output scores after grouping. The CAD scheme generated a detection score (from 0 to 1) for each identified suspicious region. A region with a detection score >0.5 was considered as positive. The CAD scheme detected 238 masses (79.3% case-based sensitivity) and identified 1093 false-positive regions (average 0.55 per image) in the original image dataset. In eleven repeated tests using original and ten sets of rotated and resampled images, the scheme detected a maximum of 271 masses and identified as many as 2359 false-positive regions. Two hundred and eighteen masses (80.4%) and 618 false-positive regions (26.2%) were detected in all 11 sets of images. Combining detection results improved reproducibility and the overall CAD performance. In the range of an average false-positive detection rate between 0.5 and 1 per image, the sensitivity of the scheme could be increased approximately 5% after averaging the scores of the regions detected in at least four images. At low false-positive rate (e.g., {<=}average 0.3 per image), the grouping method

  19. Lung Cancer: Early Detection is the Key | NIH MedlinePlus the Magazine

    MedlinePlus

    ... of this page please turn Javascript on. Feature: Lung Cancer Early Detection is the Key Past Issues / Winter 2013 Table of Contents Lung cancer survivor Dusty Donaldson helps to spread the word ...

  20. Use of digital PCR to improve early detection of CLas infection

    Technology Transfer Automated Retrieval System (TEKTRAN)

    Huanglongbing is a devastating disease of citrus caused by the bacterium Candidatus Liberibacter asiaticus. Huanglongbing has devastated the Florida citrus industry and is threatening citrus in Texas and California. Detection of Candidatus Liberibacter asiaticus infections as early as possible is ...

  1. DCP's Early Detection Research Guides Future Science | Division of Cancer Prevention

    Cancer.gov

    Early detection research funded by the NCI's Division of Cancer Prevention has positively steered both public health and clinical outcomes, and set the stage for findings in the next generation of research. |

  2. Early Detection Monitoring for Invasive Fish: St. Louis River (SLR) Pilot Study

    EPA Science Inventory

    Early detection of aquatic invasive species is necessary to develop and implement timely management responses. Predicting species introductions, however, is difficult and resources are typically limited. Therefore, monitoring strategies should be designed to effectively and eff...

  3. EPA, NASA, NOAA and USGS Creating Early Warning System to Detect Harmful Algal Blooms

    EPA Pesticide Factsheets

    WASHINGTON- The U.S. Environmental Protection Agency (EPA) announced today that it is developing an early warning indicator system using historical and current satellite data to detect algal blooms. EPA researchers will develop a mobile app to inform water

  4. SIV encephalitis lesions are composed of CD163(+) macrophages present in the central nervous system during early SIV infection and SIV-positive macrophages recruited terminally with AIDS.

    PubMed

    Nowlin, Brian T; Burdo, Tricia H; Midkiff, Cecily C; Salemi, Marco; Alvarez, Xavier; Williams, Kenneth C

    2015-06-01

    Macrophage recruitment to the central nervous system (CNS) during AIDS pathogenesis is poorly understood. We measured the accumulation of brain perivascular (CD163(+)) and inflammatory (MAC387(+)) macrophages in SIV-infected monkeys. Monocyte progenitors were 5-bromo-2'-deoxyuridine (BrdU) labeled in bone marrow, and CNS macrophages were labeled serially with fluorescent dextrans injected into the cisterna magna. MAC387(+) macrophages accumulated in the meninges and choroid plexus in early inflammation and in the perivascular space and SIV encephalitis (SIVE) lesions late. CD163(+) macrophages accumulated in the perivascular space and SIVE lesions with late inflammation. Most of the BrdU(+) cells were MAC387(+); however, CD163(+)BrdU(+) macrophages were present in the meninges and choroid plexus with AIDS. Most (81.6% ± 1.8%) of macrophages in SIVE lesions were present in the CNS before SIVE lesion formation. There was a 2.9-fold increase in SIVp28(+) macrophages entering the CNS late compared with those entering early (P < 0.05). The rate of CD163(+) macrophage recruitment to the CNS inversely correlated with time to death (P < 0.03) and increased with SIVE. In SIVE animals, soluble CD163 correlated with CD163(+) macrophage recruitment (P = 0.02). Most perivascular macrophages that comprise SIVE lesions and multinucleated giant cells are present in the CNS early, before SIVE lesions are formed. Most SIV-infected macrophages traffic to the CNS terminally with AIDS.

  5. Computer-aided detection of pulmonary nodules using dynamic self-adaptive template matching and a FLDA classifier.

    PubMed

    Gong, Jing; Liu, Ji-Yu; Wang, Li-Jia; Zheng, Bin; Nie, Sheng-Dong

    2016-12-01

    Improving the performance of computer-aided detection (CAD) system for pulmonary nodules is still an important issue for its future clinical applications. This study aims to develop a new CAD scheme for pulmonary nodule detection based on dynamic self-adaptive template matching and Fisher linear discriminant analysis (FLDA) classifier. We first segment and repair lung volume by using OTSU algorithm and three-dimensional (3D) region growing. Next, the suspicious regions of interest (ROIs) are extracted and filtered by applying 3D dot filtering and thresholding method. Then, pulmonary nodule candidates are roughly detected with 3D dynamic self-adaptive template matching. Finally, we optimally select 11 image features and apply FLDA classifier to reduce false positive detections. The performance of the new method is validated by comparing with other methods through experiments using two groups of public datasets from Lung Image Database Consortium (LIDC) and ANODE09. By a 10-fold cross-validation experiment, the new CAD scheme finally has achieved a sensitivity of 90.24% and a false-positive (FP) of 4.54 FP/scan on average for the former dataset, and a sensitivity of 84.1% with 5.59 FP/scan for the latter. By comparing with other previously reported CAD schemes tested on the same datasets, the study proves that this new scheme can yield higher and more robust results in detecting pulmonary nodules.

  6. Computer-aided detection of renal calculi from noncontrast CT images using TV-flow and MSER features

    SciTech Connect

    Liu, Jianfei; Wang, Shijun; Turkbey, Evrim B.; Yao, Jianhua; Summers, Ronald M.; Linguraru, Marius George

    2015-01-15

    Purpose: Renal calculi are common extracolonic incidental findings on computed tomographic colonography (CTC). This work aims to develop a fully automated computer-aided diagnosis system to accurately detect renal calculi on CTC images. Methods: The authors developed a total variation (TV) flow method to reduce image noise within the kidneys while maintaining the characteristic appearance of renal calculi. Maximally stable extremal region (MSER) features were then calculated to robustly identify calculi candidates. Finally, the authors computed texture and shape features that were imported to support vector machines for calculus classification. The method was validated on a dataset of 192 patients and compared to a baseline approach that detects calculi by thresholding. The authors also compared their method with the detection approaches using anisotropic diffusion and nonsmoothing. Results: At a false positive rate of 8 per patient, the sensitivities of the new method and the baseline thresholding approach were 69% and 35% (p < 1e − 3) on all calculi from 1 to 433 mm{sup 3} in the testing dataset. The sensitivities of the detection methods using anisotropic diffusion and nonsmoothing were 36% and 0%, respectively. The sensitivity of the new method increased to 90% if only larger and more clinically relevant calculi were considered. Conclusions: Experimental results demonstrated that TV-flow and MSER features are efficient means to robustly and accurately detect renal calculi on low-dose, high noise CTC images. Thus, the proposed method can potentially improve diagnosis.

  7. Early detection network design and search strategy issues

    EPA Science Inventory

    We conducted a series of field and related modeling studies (2005-2012) to evaluate search strategies for Great Lakes coastal ecosystems that are at risk of invasion by non-native aquatic species. In developing a network, we should design to achieve an acceptable limit of detect...

  8. Early detection of autism. Diagnostic instruments for clinicians.

    PubMed

    Gillberg, C; Nordin, V; Ehlers, S

    1996-06-01

    Autism and Asperger syndrome are disorders with early childhood onset. They are believed to exist on the same spectrum of impairments of reciprocal communication and social interaction restriction of imagination and behaviour. A number of screening and diagnostic tools have been developed in the field, and several of these are briefly reviewed here. It is concluded that autism may be screened around age 18 months and a diagnosis reliably be made around age 30 months, whereas a diagnosis of Asperger syndrome is not usually suspected, screened or made until into the child's school age.

  9. Neonatal and early infancy management of prenatally detected hydronephrosis.

    PubMed

    Swords, Kelly A; Peters, Craig A

    2015-09-01

    Hydronephrosis discovered during prenatal ultrasound will often resolve spontaneously; however, it should be evaluated in the postnatal period in a manner commensurate with its risk of renal injury. Early intervention is appropriate in cases of bladder outlet obstruction or the severely obstructed solitary kidney. In most other cases, it is both safe and reasonable to allow the possibility of spontaneous improvement with the intensity of follow-up based on the severity of the hydronephrosis. Clinical decision making should be a shared process between families and caregivers.

  10. Improving the performance of computer-aided detection of subtle breast masses using an adaptive cueing method

    NASA Astrophysics Data System (ADS)

    Wang, Xingwei; Li, Lihua; Xu, Weidong; Liu, Wei; Lederman, Dror; Zheng, Bin

    2012-01-01

    Current computer-aided detection (CAD) schemes for detecting mammographic masses have several limitations including high correlation with radiologists’ detection and cueing most subtle masses only on one view. To increase CAD sensitivity in cueing more subtle masses that are likely missed and/or overlooked by radiologists without increasing false-positive rates, we investigated a new case-dependent cueing method by combining the original CAD-generated detection scores with a computed bilateral mammographic density asymmetry index. Using the new method, we adaptively raise the CAD-generated scores of the regions detected on ‘high-risk’ cases to cue more subtle mass regions and reduce the CAD scores of the regions detected on ‘low-risk’ cases to discard more false-positive regions. A testing dataset involving 78 positive and 338 negative cases was used to test this adaptive cueing method. Each positive case involves two sequential examinations in which the mass was detected in ‘current’ examination and missed in ‘prior’ examination but detected in a retrospective review by radiologists. Applying to this dataset, a pre-optimized CAD scheme yielded 75% case-based and 55% region-based sensitivity on ‘current’ examinations at a false-positive rate of 0.25 per image. CAD sensitivity was reduced to 42% (case based) and 27% (region based) on ‘prior’ examinations. Using the new cueing method, case-based and region-based sensitivity could maximally increase 9% and 33% on the ‘prior’ examinations, respectively. The percentages of the masses cued on two views also increased from 27% to 65%. The study demonstrated that using this adaptive cueing method enabled us to help CAD cue more subtle cancers without increasing the false-positive cueing rate.

  11. Biomarkers for Early Detection of Clinically Relevant Prostate Cancer: A Multi-Institutional Validation Trial

    DTIC Science & Technology

    2015-10-01

    1 1 AWARD NUMBER: W81XWH-14-1-0596 TITLE: Biomarkers for Early Detection of Clinically Relevant Prostate Cancer. A Multi-Institutional...Validation Trial PRINCIPAL INVESTIGATOR: Jesse McKenney, MD CONTRACTING ORGANIZATION: Cleveland Clinic Foundation Cleveland, OH 44195 REPORT DATE...COVERED 30 Sep 2014 - 29 Sep 2015 4. TITLE AND SUBTITLE 5a. CONTRACT NUMBER Biomarkers for Early Detection of Clinically Relevant Prostate Cancer. A

  12. Radiolabeled Exosomes for the Early Detection of Metastases and to Predict Breast Cancer Premetastatic Niche

    DTIC Science & Technology

    2014-08-01

    1 Award Number: W81XWH-13-1-0249 TITLE: Radiolabeled Exosomes for the Early Detection of...COVERED August 2013- July 2014 4. TITLE AND SUBTITLE Radiolabeled Exosomes for the Early Detection of Metastases 5a. CONTRACT NUMBER and to...disease in BC patients using cancer cell derived particles known as exosomes as a guide. We hypothesized that exosomes tagged with appropriate

  13. Probing Alzheimers Disease Pathology and Early Detection at the NSLS with Infrared, XRF, and DEI

    SciTech Connect

    Zhong,Z.; Bennett, D.; Chapman, D.; Chen, J.; Connor, D.; Dilmanian, A.; Faulconer, L.; Kao, T.; Leskovjan, A.; et al

    2008-01-01

    We explored diffraction enhanced imaging (DEI) in both planar and computed tomography (CT) modes for early detection of beta amyloid deposition, a hallmark feature in Alzheimer's disease (AD). Since amyloid plaques precede clinical symptoms by years, their early detection is of great interest. These findings were correlated with results from synchrotron infrared microspectroscopic imaging and X-ray fluorescence microscopy, to determine the secondary structure of the amyloid beta protein and metal concentration in the amyloid plaques, respectively.

  14. Dual-mode microwave system to enhance early detection of cancer

    NASA Technical Reports Server (NTRS)

    Carr, K. L.; El-Mahdi, A. M.; Shaeffer, J.

    1981-01-01

    A dual-mode microwave system has been developed that will permit early detection of cancer. The system combines the use of the passive microwave radiometer with an active transmitter. The active transmitter will provide localized heating to enhance early detection by taking advantage of the differential heating (i.e., tumor temperature with respect to surrounding tissue) associated with the thermal characteristics of tumors.

  15. Effective Partnering of State Agencies to Achieve Early Hearing Detection and Intervention Benchmarks

    ERIC Educational Resources Information Center

    Corwin, Joanne

    2011-01-01

    Relative to Early Hearing Detection and Intervention (EHDI), New Mexico struggles with multiple points of referral into early intervention in the same way most states do. Referrals are not systematized through a single point of entry. The Step*Hi (statewide Parent-Infant) Program of the New Mexico School for the Deaf (NMSD) receives referrals from…

  16. 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... Force guidelines for breast and cervical cancer screening; Impact of the revised clinical screening recommendations for both breast and cervical cancer on the National Breast and Cervical Cancer Early...

  17. The Importance of Distinguishing "Propensity" versus "Ability" to Imitate in ASD Research and Early Detection

    ERIC Educational Resources Information Center

    Vivanti, Giacomo

    2015-01-01

    Imitation abnormalities are often documented in young children with Autism Spectrum Disorder (ASD), however the relevance of imitation to early development and early detection of ASD remains unclear. Recent studies that investigated whether imitation at 12 months distinguishes children who will subsequently receive an ASD diagnosis from other…

  18. Naked eye detection of nitric oxide release from nitrosothiols aided by gold nanoparticles.

    PubMed

    Priya, S; Kaviyarasan, T; Berchmans, Sheela

    2012-04-07

    In this work we have demonstrated that nitric oxide can be monitored spectrophotometrically using cyclodextrin encapsulated ferrocene. The detection course showed the colour change from yellow to blue which can be detected with the naked eye. Also we describe the catalytic effect of gold nanoparticles in enhancing nitric oxide release from S-nitrosothiols.

  19. Early Detection of Pancreatic Cancer—a Defined Future Using Lessons From Other Cancers

    PubMed Central

    Kenner, Barbara J.; Chari, Suresh T.; Maitra, Anirban; Srivastava, Sudhir; Cleeter, Deborah F.; Go, Vay Liang W.; Rothschild, Laura J.; Goldberg, Ann E.

    2016-01-01

    Abstract The implementation of effective early detection programs has significantly improved treatment, prognosis, and life expectancy in breast, prostate, and colorectal cancers. Early-detection methods need to be developed for pancreatic ductal adenocarcinoma (PDAC), where progress during the past decades has remained slow. Addressing this need, the forum “Early Detection: Lessons Learned from Other Cancers” was held in November 2015 and presented by the Kenner Family Research Fund in partnership with the American Pancreatic Association. Leading experts from breast, prostate, and colorectal cancers described the development of early detection methods in their respective fields. Emerging opportunities for scientific advancement were subsequently identified that hold the greatest promise for the future of early detection in PDAC, including a 4-part strategic map of necessary actionable items. Knowledge from other fields must be applied to achieve large-scale change within the arena of PDAC. A major breakthrough in early detection of PDAC will occur only through a definitive interdisciplinary collaborative effort involving a critical mass of committed academic research institutions, government agencies, industry leaders, and philanthropies. PMID:27518362

  20. Towards the Early Detection of Breast Cancer in Young Women

    DTIC Science & Technology

    2006-10-01

    tissue types. For example, it is difficult to distinguish a ductal carcinoma in-situ from a phyllodes tumor based on E alone (since the ratio is about...cancer, it is less effective in younger women (≤ 40 years), usually because the higher density of their breasts can obscure tumors . While the...to breast cancer detection (see [2] for example) utilizes the fact that breast tumors tend to be significantly stiffer than the surrounding tissue [3

  1. Early Detection of Breast Cancer Using Posttranslationally Modified Biomarkers

    DTIC Science & Technology

    2011-03-01

    Globo H (16-18), sialosyl-TF (19-22) and advanced glycation end products (AGE) (23, 24). However, we are lacking of specific antibodies for this...we found out that the sialosyl-TF and advanced glycation end products (AGE) are too low to detect or the sensitivity of these antibodies are not...and Zima, T. (2007) Receptor for advanced glycation end products (RAGE)--soluble form (sRAGE) and gene polymorphisms in patients with breast cancer

  2. Early Lung Cancer Detection via Global Protein Modification Profiles

    DTIC Science & Technology

    2013-12-01

    remission at 3 years (low risk) following diagnosis (Figure 2). The top graph shows the mean difference in the observed expression of the first 100...in patients with remission at 3 years. These preliminary results suggest that the PTM profiles of Lung cancer tumors with poor prognosis may be...highly divergent from that of tumors from patients that were in remission at 3 years following diagnosis and these differences can be detected using

  3. Using ductoscopy to detect breast mass at an early stage.

    PubMed

    Sparks, Carol A

    2002-11-01

    Using a new procedure termed fiberoptic ductoscopy, a surgeon can visualize a patient's breast mammary ducts directly with a 0.9-mm scope. Eighty-five percent of breast cancers are thought to originate in the epithelial lining of the mammary ducts. The hope is that this new technique will allow surgeons to detect breast cancer in high-risk patients before a mass is felt or seen via mammography.

  4. Remote Sensing Plant Stress Using Combined Fluorescence and Reflectance Measurements for Early Detection of Defoliants within the Battlefield Environment

    DTIC Science & Technology

    2012-10-02

    REPORT Remote sensing plant stress using combined fluorescence and reflectance measurements for early detection of defoliants within the battlefied...stress using combined fluorescence and reflectance measurements for early detection of defoliants within the battlefied environment Report Title...combined fluorescence and reflectance measurements for early detection of defoliants within the battlefield environment ARO Proposal # (49364-EV

  5. An Attempt of Early Detection of Poor Outcome after Whiplash

    PubMed Central

    Laporte, Sebastien; Wang, Danping; Lecompte, Jennyfer; Blancho, Sophie; Sandoz, Baptiste; Feydy, Antoine; Lindberg, Pavel; Adrian, Julien; Chiarovano, Elodie; de Waele, Catherine; Vidal, Pierre-Paul

    2016-01-01

    The main concern with whiplash is that a large proportion of whiplash patients experience disabling symptoms or whiplash-associated disorders (WAD) for months if not years following the accident. Therefore, identifying early prognostic factors of WAD development is important as WAD have widespread clinical and economic consequences. In order to tackle that question, our study was specifically aimed at combining several methods of investigation in the same WAD patients at the acute stage and 6 months later. Our longitudinal, open, prospective, multi-center study included 38 whiplash patients, and 13 healthy volunteers matched for age, gender, and socio-economic status with the whiplash group. Whiplash patients were evaluated 15–21 days after road accident, and 6 months later. At each appointment, patients underwent a neuropsychological evaluation, a full clinical neurological examination, neurophysiological and postural tests, oto-neurological tests, cervical spine cord magnetic resonance imaging (MRI) with tractography (DTI). At 6 months, whiplash patients were categorized into two subgroups based on the results of the Diagnostic and Statistical Manual of Mental Disorders as having either favorable or unfavorable progression [an unfavorable classification corresponding to the presence of post-concussion symptom (PCS)] and we searched retrospectively for early prognostic factors of WAD predicting the passage to chronicity. We found that patients displaying high level of catastrophizing at the acute stage and/or post-traumatic stress disorder associated with either abnormalities in head or trunk kinematics, abnormal test of the otolithic function and at the Equitest or a combination of these syndromes, turned to chronicity. This study suggests that low-grade whiplash patients should be submitted as early as possible after the trauma to neuropsychological and motor control tests in a specialized consultation. In addition, they should be evaluated by a neuro

  6. An Attempt of Early Detection of Poor Outcome after Whiplash.

    PubMed

    Laporte, Sebastien; Wang, Danping; Lecompte, Jennyfer; Blancho, Sophie; Sandoz, Baptiste; Feydy, Antoine; Lindberg, Pavel; Adrian, Julien; Chiarovano, Elodie; de Waele, Catherine; Vidal, Pierre-Paul

    2016-01-01

    The main concern with whiplash is that a large proportion of whiplash patients experience disabling symptoms or whiplash-associated disorders (WAD) for months if not years following the accident. Therefore, identifying early prognostic factors of WAD development is important as WAD have widespread clinical and economic consequences. In order to tackle that question, our study was specifically aimed at combining several methods of investigation in the same WAD patients at the acute stage and 6 months later. Our longitudinal, open, prospective, multi-center study included 38 whiplash patients, and 13 healthy volunteers matched for age, gender, and socio-economic status with the whiplash group. Whiplash patients were evaluated 15-21 days after road accident, and 6 months later. At each appointment, patients underwent a neuropsychological evaluation, a full clinical neurological examination, neurophysiological and postural tests, oto-neurological tests, cervical spine cord magnetic resonance imaging (MRI) with tractography (DTI). At 6 months, whiplash patients were categorized into two subgroups based on the results of the Diagnostic and Statistical Manual of Mental Disorders as having either favorable or unfavorable progression [an unfavorable classification corresponding to the presence of post-concussion symptom (PCS)] and we searched retrospectively for early prognostic factors of WAD predicting the passage to chronicity. We found that patients displaying high level of catastrophizing at the acute stage and/or post-traumatic stress disorder associated with either abnormalities in head or trunk kinematics, abnormal test of the otolithic function and at the Equitest or a combination of these syndromes, turned to chronicity. This study suggests that low-grade whiplash patients should be submitted as early as possible after the trauma to neuropsychological and motor control tests in a specialized consultation. In addition, they should be evaluated by a neuro

  7. Early pest detection in soy plantations from hyperspectral measurements: a case study for caterpillar detection

    NASA Astrophysics Data System (ADS)

    Tailanián, Matías; Castiglioni, Enrique; Musé, Pablo; Fernández Flores, Germán.; Lema, Gabriel; Mastrángelo, Pedro; Almansa, Mónica; Fernández Liñares, Ignacio; Fernández Liñares, Germán.

    2015-10-01

    Soybean producers suffer from caterpillar damage in many areas of the world. Estimated average economic losses are annually 500 million USD in Brazil, Argentina, Paraguay and Uruguay. Designing efficient pest control management using selective and targeted pesticide applications is extremely important both from economic and environmental perspectives. With that in mind, we conducted a research program during the 2013-2014 and 2014-2015 planting seasons in a 4,000 ha soybean farm, seeking to achieve early pest detection. Nowadays pest presence is evaluated using manual, labor-intensive counting methods based on sampling strategies which are time consuming and imprecise. The experiment was conducted as follows. Using manual counting methods as ground-truth, a spectrometer capturing reflectance from 400 to 1100 nm was used to measure the reflectance of soy plants. A first conclusion, resulting from measuring the spectral response at leaves level, showed that stress was a property of plants since different leaves with different levels of damage yielded the same spectral response. Then, to assess the applicability of unsupervised classification of plants as healthy, biotic-stressed or abiotic-stressed, feature extraction and selection from leaves spectral signatures, combined with a Supported Vector Machine classifier was designed. Optimization of SVM parameters using grid search with cross-validation, along with classification evaluation by ten-folds cross-validation showed a correct classification rate of 95%, consistently on both seasons. Controlled experiments using cages with different numbers of caterpillars--including caterpillar-free plants--were also conducted to evaluate consistency in trends of the spectral response as well as the extracted features.

  8. Proteomics Based Biomarker Discovery to Aid in the Unambiguous Detection of Bovine Tuberculosis Infection in Cattle

    Technology Transfer Automated Retrieval System (TEKTRAN)

    Bovine Tuberculosis (TB) is a zoonotic infection caused by Mycobacterium bovis (MBO), a member of the Mycobacterium tuberculosis complex. The disease is generally asymptomatic with a long incubation period and good early diagnostics are lacking. Current surveillance for bovine TB is a laborious mul...

  9. Application of multispectral reflectance for early detection of tomato disease

    NASA Astrophysics Data System (ADS)

    Xu, Huirong; Zhu, Shengpan; Ying, Yibin; Jiang, Huanyu

    2006-10-01

    Automatic diagnosis of plant disease is important for plant management and environmental preservation in the future. The objective of this study is to use multispectral reflectance measurements to make an early discrimination between the healthy and infected plants by the strain of tobacco mosaic virus (TMV-U1) infection. There were reflectance changes in the visible (VIS) and near infrared spectroscopy (NIR) between the healthy and infected plants. Discriminant models were developed using discriminant partial least squares (DPLS) and Mahalanobis distance (MD). The DPLS models had a root mean square error of calibration (RMSEC) of 0.397 and correlation coefficient (r) of 0.59 and the MD model correctly classified 86.7% healthy plants and up to 91.7% infected plants.

  10. Detecting early stage osteoarthritis by optical coherence tomography?

    PubMed Central

    Jahr, Holger; Brill, Nicolai; Nebelung, Sven

    2015-01-01

    Abstract Osteoarthritis (OA) is the most common chronic disease of our joints, manifested by a dynamically increasing degeneration of hyaline articular cartilage (AC). While currently no therapy can reverse this process, the few available treatment options are hampered by the inability of early diagnosis. Loss of cartilage surface, or extracellular matrix (ECM), integrity is considered the earliest sign of OA. Despite the increasing number of imaging modalities surprisingly few imaging biomarkers exist. In this narrative review, recent developments in optical coherence tomography are critically evaluated for their potential to assess different aspects of AC quality as biomarkers of OA. Special attention is paid to imaging surface irregularities, ECM organization and the evaluation of posttraumatic injuries by light-based modalities. PMID:26862954

  11. Early Detection System of Vascular Disease and Its Application Prospect

    PubMed Central

    2016-01-01

    Markers of imaging, structure, and function reflecting vascular damage, integrating a long time accumulation effect of traditional and unrecognized cardiovascular risk factors, can be regarded as surrogate endpoints of target organ damage before the occurrence of clinical events. Prevention of cardiovascular disease requires risk stratification and treatment of traditional risk factors, such as smoking, hypertension, hyperlipidemia, and diabetes. However, traditional risk stratification is not sufficient to provide accurate assessment of future cardiovascular events. Therefore, vascular injury related parameters obtained by ultrasound or other noninvasive devices, as a surrogate parameter of subclinical cardiovascular disease, can improve cardiovascular risk assessment and optimize the preventive treatment strategy. Thus, we will summarize the research progress and clinical application of early assessment technology of vascular diseases in the present review. PMID:28042567

  12. A computer-aided automated methodology for the detection and classification of occlusal caries from photographic color images.

    PubMed

    Berdouses, Elias D; Koutsouri, Georgia D; Tripoliti, Evanthia E; Matsopoulos, George K; Oulis, Constantine J; Fotiadis, Dimitrios I

    2015-07-01

    The aim of this work is to present a computer-aided automated methodology for the assessment of carious lesions, according to the International Caries Detection and Assessment System (ICDAS II), which are located on the occlusal surfaces of posterior permanent teeth from photographic color tooth images. The proposed methodology consists of two stages: (a) the detection of regions of interest and (b) the classification of the detected regions according to ICDAS ΙΙ. In the first stage, pre-processing, segmentation and post-processing mechanisms were employed. For each pixel of the detected regions, a 15×15 neighborhood is used and a set of intensity-based and texture-based features were extracted. A correlation based technique was applied to select a subset of 36 features which were given as input into the classification stage, where five classifiers (J48, Random Tree, Random Forests, Support Vector Machines and Naïve Bayes) were compared to conclude to the best one, in our case, to Random Forests. The methodology was evaluated on a set of 103 digital color images where 425 regions of interest from occlusal surfaces of extracted permanent teeth were manually segmented and classified, based on visual assessments by two experts. The methodology correctly detected 337 out of 340 regions in the detection stage with accuracy of detection 80%. For the classification stage an overall accuracy 83% is achieved. The proposed methodology provides an objective and fully automated caries diagnostic system for occlusal carious lesions with similar or better performance of a trained dentist taking into consideration the available medical knowledge.

  13. Improving performance of computer-aided detection of pulmonary embolisms by incorporating a new pulmonary vascular-tree segmentation algorithm

    NASA Astrophysics Data System (ADS)

    Wang, Xingwei; Song, XiaoFei; Chapman, Brian E.; Zheng, Bin

    2012-03-01

    We developed a new pulmonary vascular tree segmentation/extraction algorithm. The purpose of this study was to assess whether adding this new algorithm to our previously developed computer-aided detection (CAD) scheme of pulmonary embolism (PE) could improve the CAD performance (in particular reducing false positive detection rates). A dataset containing 12 CT examinations with 384 verified pulmonary embolism regions associated with 24 threedimensional (3-D) PE lesions was selected in this study. Our new CAD scheme includes the following image processing and feature classification steps. (1) A 3-D based region growing process followed by a rolling-ball algorithm was utilized to segment lung areas. (2) The complete pulmonary vascular trees were extracted by combining two approaches of using an intensity-based region growing to extract the larger vessels and a vessel enhancement filtering to extract the smaller vessel structures. (3) A toboggan algorithm was implemented to identify suspicious PE candidates in segmented lung or vessel area. (4) A three layer artificial neural network (ANN) with the topology 27-10-1 was developed to reduce false positive detections. (5) A k-nearest neighbor (KNN) classifier optimized by a genetic algorithm was used to compute detection scores for the PE candidates. (6) A grouping scoring method was designed to detect the final PE lesions in three dimensions. The study showed that integrating the pulmonary vascular tree extraction algorithm into the CAD scheme reduced false positive rates by 16.2%. For the case based 3D PE lesion detecting results, the integrated CAD scheme achieved 62.5% detection sensitivity with 17.1 false-positive lesions per examination.

  14. Application of exonuclease III-aided target recycling in flow cytometry: DNA detection sensitivity enhanced by orders of magnitude.

    PubMed

    Lu, Jie; Paulsen, Ian T; Jin, Dayong

    2013-09-03

    DNA-functionalized microspheres in conjugation with flow cytometry detection are widely used for high-throughput nucleic acid assays. Although such assays are rapid and capable of simultaneous analysis of multiple nucleic acid analytes in a single test, the intrinsic limitation in sensitivity remains challenging. Here we report a simple, highly sensitive, and reproducible method based on Exonuclease III-aided target recycling technique applied for DNA quantification in flow cytometry. By loading a high density of Cy5-labeled probe DNA on microspheres (15 μm), we achieved hitherto unreported DNA detection limit of 3.2 pM in flow cytometry bead assay, enhancing the sensitivity by a factor of over 56.8 compared to the conventional direct hybridization bead assay. Furthermore, we evaluated multiplexing capability by simultaneous detections of two target DNAs with FAM and Cy5 reporter conjugated probes. Therefore, the novel Exonuclease III-amplified flow cytometry bead assay has great potential for the rapid, sensitive, and accurate detection and quantification of nucleic acids in clinical diagnosis and biomedical research.

  15. Automated discovery of meniscal tears on MR imaging: a novel high-performance computer-aided detection application for radiologists

    NASA Astrophysics Data System (ADS)

    Ramakrishna, Bharath; Safdar, Nabile; Siddiqui, Khan; Kim, Woojin; Liu, Weimin; Saiprasad, Ganesh; Chang, Chein-I.; Siegel, Eliot

    2008-03-01

    Knee-related injuries including meniscal tears are common in both young athletes and the aging population and require accurate diagnosis and surgical intervention when appropriate. With proper techniques and radiologists' experienced skills, confidence in detection of meniscal tears can be quite high. However, for radiologists without musculoskeletal training, diagnosis of meniscal tears can be challenging. This paper develops a novel computer-aided detection (CAD) diagnostic system for automatic detection of meniscal tears in the knee. Evaluation of this CAD system using an archived database of images from 40 individuals with suspected knee injuries indicates that the sensitivity and specificity of the proposed CAD system are 83.87% and 75.19%, respectively, compared to the mean sensitivity and specificity of 77.41% and 81.39%, respectively obtained by experienced radiologists in routine diagnosis without using the CAD. The experimental results suggest that the developed CAD system has great potential and promise in automatic detection of both simple and complex meniscal tears of knees.

  16. Validation of Biomarkers for the Early Detection of Colorectal Adenocarcinoma (GLNE 010) — EDRN Public Portal

    Cancer.gov

    We propose a Phase 2 (large cross-sectional) PRoBE-compliant validation trial of stool-based and serum-based tests for the detection of colorectal neoplasia (1). The trial is powered to detect early stage colorectal adenocarcinoma or high grade dysplasia. This is the most stringent, conservative approach to the early diagnosis of colonic neoplasia and addresses the most important endpoint of identifying individuals with curable, early stage cancer and those with very high risk non-invasive neoplasia (high grade dysplasia).

  17. Fluorescence video endoscopic system for early cancer detection

    NASA Astrophysics Data System (ADS)

    Lytle, A. Charles; Dunn, J. B.; Paspa, Paul M.; Doiron, Daniel R.; Balchum, Oscar J.

    1990-06-01

    A video system is being developed to allow the detection of cancerous lesions that are too small to be accurately identified visually or with x-ray. The system makes use of standard endoscopes and provides a video display of both the color image and a false color fluorescence image, with automated switching between the two views. Excitation of the fluorescence marker, Heinatoporphyrin Derivative (HpD) , or it ' 5 purified form , diheinatoporphyrin ether! ester (DHE) , is provided by a krypton ion laser operating in the violet. A brief discussion of fluorescence diagnostic theory and a description of the prototype system, its clinical use , and performance is reviewed.

  18. Application of nanotechnology in cancers prevention, early detection and treatment.

    PubMed

    Patel, Shraddha P; Patel, Parshottambhai B; Parekh, Bhavesh B

    2014-01-01

    Use of nanotechnology in medical science is a rapidly developing area. New opportunities of diagnosis, imaging and therapy have developed due to recent rapid advancement by nanotechnology. The most common areas to be affected are diagnostic, imaging and targeted drug delivery in gastroenterology, oncology, cardiovascular medicine, obstetrics and gynecology. Mass screening with inexpensive imaging might be possible in the near future with the help of nanotechnology. This review paper provides an overview of causes of cancer and the application of nanotechnology in cancer prevention, detection and treatment.

  19. Towards the Early Detection of Breast Cancer in Young Women

    DTIC Science & Technology

    2005-10-01

    distinguish a ductal carcinoma in-situ from a phyllodes tumor based on E alone (since the ratio is about 1.1), while it should be relatively easy to do so...are unaffected by the denseness of the breast. The application of EI to breast cancer detection utilizes the fact that tumors are stiffer than the...years), usually because the higher density of their breasts can obscure tumors . While the incidence of cancer in younger women is relatively low, it is

  20. Early detection of thrombin activity in neuroinflammatory disease

    PubMed Central

    Davalos, Dimitrios; Baeten, Kim M; Whitney, Michael A; Mullins, Eric S; Friedman, Beth; Olson, Emilia S; Ryu, Jae Kyu; Smirnoff, Dimitri S; Petersen, Mark A; Bedard, Catherine; Degen, Jay L; Tsien, Roger Y; Akassoglou, Katerina

    2014-01-01

    Although multiple sclerosis (MS) has been associated with the coagulation system, the temporal and spatial regulation of coagulation activity in neuroinflammatory lesions is unknown. Using a novel molecular probe, we characterized the activity pattern of thrombin, the central protease of the coagulation cascade, in experimental autoimmune encephalomyelitis. Thrombin activity preceded onset of neurological signs, increased at disease peak, and correlated with fibrin deposition, microglial activation, demyelination, axonal damage, and clinical severity. Mice with a genetic deficit in prothrombin confirmed the specificity of the thrombin probe. Thrombin activity might be exploited for developing sensitive probes for preclinical detection and monitoring of neuroinflammation and MS progression. PMID:24740641

  1. Early Detection Rapid Response Program Targets New Noxious Weed Species in Washington State

    ERIC Educational Resources Information Center

    Andreas, Jennifer E.; Halpern, Alison D.; DesCamp, Wendy C.; Miller, Timothy W.

    2015-01-01

    Early detection, rapid response is a critical component of invasive plant management. It can be challenging, however, to detect new invaders before they become established if landowners cannot identify species of concern. In order to increase awareness, eye-catching postcards were developed in Washington State as part of a noxious weed educational…

  2. Early Detection Monitoring Approaches for Exotic Aquatic Species in Great Lakes Harbors and Embayments

    EPA Science Inventory

    Aquatic invasive species pose a significant ecological and economic threat in the Great Lakes basin. Early detection of invaders is desirable so as to allow for a timely management response, raising the question of how to accomplish this detection in a consistent, cost-effective...

  3. The Effect of Early Visual Deprivation on the Development of Face Detection

    ERIC Educational Resources Information Center

    Mondloch, Catherine J.; Segalowitz, Sidney J.; Lewis, Terri L.; Dywan, Jane; Le Grand, Richard; Maurer, Daphne

    2013-01-01

    The expertise of adults in face perception is facilitated by their ability to rapidly detect that a stimulus is a face. In two experiments, we examined the role of early visual input in the development of face detection by testing patients who had been treated as infants for bilateral congenital cataract. Experiment 1 indicated that, at age 9 to…

  4. Early detection of crop injury from herbicide glyphosate by leaf biochemical parameter inversion

    Technology Transfer Automated Retrieval System (TEKTRAN)

    Early detection of crop injury from glyphosate is of significant importance in crop management. In this paper, we attempt to detect glyphosate-induced crop injury by PROSPECT (leaf optical PROperty SPECTra model) inversion through leaf hyperspectral reflectance measurements for non-Glyphosate-Resist...

  5. Biomarkers for early detection of colorectal cancer and polyps: systematic review.

    PubMed

    Shah, Reena; Jones, Emma; Vidart, Victoire; Kuppen, Peter J K; Conti, John A; Francis, Nader K

    2014-09-01

    There is growing interest in early detection of colorectal cancer as current screening modalities lack compliance and specificity. This study systematically reviewed the literature to identify biomarkers for early detection of colorectal cancer and polyps. Literature searches were conducted for relevant papers since 2007. Human studies reporting on early detection of colorectal cancer and polyps using biomarkers were included. Methodologic quality was evaluated, and sensitivity, specificity, and the positive predictive value (PPV) were reported. The search strategy identified 3,348 abstracts. A total of 44 papers, examining 67 different tumor markers, were included. Overall sensitivities for colorectal cancer detection by fecal DNA markers ranged from 53% to 87%. Combining fecal DNA markers increased the sensitivity of colorectal cancer and adenoma detection. Canine scent detection had a sensitivity of detecting colorectal cancer of 99% and specificity of 97%. The PPV of immunochemical fecal occult blood test (iFOBT) is 1.26%, compared with 0.31% for the current screening method of guaiac fecal occult blood test (gFOBT). A panel of serum protein biomarkers provides a sensitivity and specificity above 85% for all stages of colorectal cancer, and a PPV of 0.72%. Combinations of fecal and serum biomarkers produce higher sensitivities, specificities, and PPVs for early detection of colorectal cancer and adenomas. Further research is required to validate these biomarkers in a well-structured population-based study.

  6. Sampling design for early detection of aquatic invasive species in Great Lakes ports

    EPA Science Inventory

    We evaluated a pilot adaptive monitoring program for aquatic invasive species (AIS) early detection in Lake Superior. The monitoring program is designed to detect newly-introduced fishes, and encompasses the lake’s three major ports (Duluth-Superior, Sault Ste. Marie, Thund...

  7. Early detection monitoring of aquatic invasive species: Measuring performance success in a Lake Superior pilot network

    EPA Science Inventory

    The Great Lakes Water Quality Agreement, Annex 6 calls for a U.S.-Canada, basin-wide aquatic invasive species early detection network by 2015. The objective of our research is to explore survey design strategies that can improve detection efficiency, and to develop performance me...

  8. Sampling design for aquatic invasive species early detection in Great Lakes ports

    EPA Science Inventory

    From 2006-2012, we evaluated a pilot aquatic invasive species (AIS) early detection monitoring program in Lake Superior that was designed to detect newly introduced fishes. We established survey protocols for three major ports (Duluth-Superior, Sault Ste. Marie, Thunder Bay) and ...

  9. [CODEPEH 2014 recommendations for the early detection of delayed hearing loss].

    PubMed

    Núñez-Batalla, Faustino; Jáudenes-Casaubón, Carmen; Sequí-Canet, José Miguel; Vivanco-Allende, Ana; Zubicaray-Ugarteche, José

    2016-10-01

    The latest scientific literature considers early diagnosis of deafness as key element to define the educational prognosis and inclusion of the deaf child, as advantage can be taken in the critical period of development (0-4 years). Highly significant differences exist between those deaf persons who have been stimulated early and those who have received late or inappropriate intervention. Early identification of late-onset disorders requires special attention and knowledge of all childcare professionals. Programs and additional actions beyond neonatal screening should be designed and planned in order to ensure that every child with a significant hearing loss is detected early. For this purpose, the Committee for the Early Detection of Deafness (CODEPEH) would like to highlight the need for continuous monitoring on the hearing health of children. And, for this reason, CODEPEH drafts the recommendations included in the present document.

  10. Early detection of ecosystem regime shifts: a multiple method evaluation for management application.

    PubMed

    Lindegren, Martin; Dakos, Vasilis; Gröger, Joachim P; Gårdmark, Anna; Kornilovs, Georgs; Otto, Saskia A; Möllmann, Christian

    2012-01-01

    Critical transitions between alternative stable states have been shown to occur across an array of complex systems. While our ability to identify abrupt regime shifts in natural ecosystems has improved, detection of potential early-warning signals previous to such shifts is still very limited. Using real monitoring data of a key ecosystem component, we here apply multiple early-warning indicators in order to assess their ability to forewarn a major ecosystem regime shift in the Central Baltic Sea. We show that some indicators and methods can result in clear early-warning signals, while other methods may have limited utility in ecosystem-based management as they show no or weak potential for early-warning. We therefore propose a multiple method approach for early detection of ecosystem regime shifts in monitoring data that may be useful in informing timely management actions in the face of ecosystem change.

  11. Quantum dots hold promise for early cancer imaging and detection.

    PubMed

    Pericleous, Pericles; Gazouli, Maria; Lyberopoulou, Anna; Rizos, Spyros; Nikiteas, Nikolaos; Efstathopoulos, Efstathios P

    2012-08-01

    Despite all major breakthroughs in recent years of research concerning the complex events that lead to cancer expression and metastasis, we are not yet able to effectively treat cancer that has spread to vital organs. The various clinical phases originating from cancer diagnosis through treatment and prognosis require a comprehensive understanding of these events, to utilise pre-symptomatic, minimally invasive and targeted cancer management techniques. Current imaging modalities such as ultrasound, computed tomography, magnetic resonance imaging and gamma scintigraphy facilitate the pre-operative study of tumours, but they have been rendered unable to visualise cancer in early stages, due to their intrinsic limitations. The semiconductor nanocrystal quantum dots (QDs) have excellent photo-physical properties, and the QDs-based probes have achieved encouraging developments in cellular (in vitro) and in vivo molecular imaging. However, the same unique physical and chemical properties which renowned QDs attractive may be associated with their potentially catastrophic effects on living cells and tissues. There are critical issues that need to be further examined to properly assess the risks associated with the manufacturing and use of QDs in cancer management. In this review, we aim to describe the current utilisation of QDs as well as their future prospective to decipher and confront cancer.

  12. Improving Detection of Axillary Lymph Nodes by Computer-Aided Kinetic Feature Identification in Positron Emission Tomography

    DTIC Science & Technology

    2004-08-01

    Detection of Early Metastasized Molecular Feature (IDEMMF) system; and test and evaluate the prototype with phantom , animal study and clinical patient...reported below. 5 2.1.1 TAC feature extraction Using dynamic phantom data with known ground truth, we tested, to a certain degree, how the time activity...averaged time activity curve. We have performed an experimental study with a realistic liver phantom . In the liver phantom three artificial spherical

  13. Development of a computer-aided detection system for lung cancer diagnosis

    NASA Astrophysics Data System (ADS)

    Suzuki, Hideo; Inaoka, Noriko; Takabatake, Hirotsugu; Mori, Masaki; Sasaoka, Soichi; Natori, Hiroshi; Suzuki, Akira

    1992-06-01

    This paper describes a modified system for automatic detection of lung nodules by means of chest x ray image processing techniques. The objective of the system is to help radiologists to improve their accuracy in cancer detection. It is known from retrospective studies of chest x- ray images that radiologists fail to detect about 30 percent of lung cancer cases. A computerized method for detecting lung nodules would be very useful for decreasing the proportion of such oversights. Our proposed system consists of five sub-systems, for image input, lung region determination, nodule detection, rule-based false-positive elimination, and statistical false-positive elimination. In an experiment with the modified system, using 30 lung cancer cases and 78 normal control cases, we obtained figures of 73.3 percent and 89.7 percent for the sensitivity and specificity of the system, respectively. The system has been developed to run on the IBM* PS/55* and IBM RISC System/6000* (RS/6000), and we give the processing time for each platform.

  14. Detection of Alzheimer's disease signature in MR images seven years before conversion to dementia: Toward an early individual prognosis.

    PubMed

    Coupé, Pierrick; Fonov, Vladimir S; Bernard, Charlotte; Zandifar, Azar; Eskildsen, Simon F; Helmer, Catherine; Manjón, José V; Amieva, Hélène; Dartigues, Jean-François; Allard, Michèle; Catheline, Gwenaelle; Collins, D Louis

    2015-12-01

    Finding very early biomarkers of Alzheimer's Disease (AD) to aid in individual prognosis is of major interest to accelerate the development of new therapies. Among the potential biomarkers, neurodegeneration measurements from MRI are considered as good candidates but have so far not been effective at the early stages of the pathology. Our objective is to investigate the efficiency of a new MR-based hippocampal grading score to detect incident dementia in cognitively intact patients. This new score is based on a pattern recognition strategy, providing a grading measure that reflects the similarity of the anatomical patterns of the subject under study with dataset composed of healthy subjects and patients with AD. Hippocampal grading was evaluated on subjects from the Three-City cohort, with a followup period of 12 years. Experiments demonstrate that hippocampal grading yields prediction accuracy up to 72.5% (P < 0.0001) 7 years before conversion to AD, better than both hippocampal volume (58.1%, P = 0.04) and MMSE score (56.9%, P = 0.08). The area under the ROC curve (AUC) supports the efficiency of imaging biomarkers with a gain of 8.4 percentage points for hippocampal grade (73.0%) over hippocampal volume (64.6%). Adaptation of the proposed framework to clinical score estimation is also presented. Compared with previous studies investigating new biomarkers for AD prediction over much shorter periods, the very long followup of the Three-City cohort demonstrates the important clinical potential of the proposed imaging biomarker. The high accuracy obtained with this new imaging biomarker paves the way for computer-based prognostic aides to help the clinician identify cognitively intact subjects that are at high risk to develop AD.

  15. The use of electro-acoustic impedance measurements in detecting early clinical otosclerosis.

    PubMed

    Van Wagoner, R S; Campbell, J D

    1976-02-01

    The first evidence that sodium fluoride (NaFl) can stop the otosclerotic process was recently presented. This development has placed new emphasis on the early detection of clinical otosclerosis. Electro-acoustic impedance measurements often detect minute changes in absolute impedance and compliance of the ossicular chain. The most valuable diagnostic information, however, is a negative on-off (biphasic) type of acoustic reflex. These results are often evident prior to the detection of positive clinical signs of otosclerosis. The negative on-off acoustic reflex is reviewed in this paper along with case discussions involving medical/surgical management of early otosclerosis.

  16. After Detection: The Improved Accuracy of Lung Cancer Assessment Using Radiologic Computer-aided Diagnosis

    PubMed Central

    Amir, Guy J.; Lehmann, Harold P.

    2015-01-01

    Rationale and Objectives The aim of this study was to evaluate the improved accuracy of radiologic assessment of lung cancer afforded by computer-aided diagnosis (CADx). Materials and Methods Inclusion/exclusion criteria were formulated, and a systematic inquiry of research databases was conducted. Following title and abstract review, an in-depth review of 149 surviving articles was performed with accepted articles undergoing a Quality Assessment of Diagnostic Accuracy Studies (QUADAS)-based quality review and data abstraction. Results A total of 14 articles, representing 1868 scans, passed the review. Increases in the receiver operating characteristic (ROC) area under the curve of .8 or higher were seen in all nine studies that reported it, except for one that employed subspecialized radiologists. Conclusions This systematic review demonstrated improved accuracy of lung cancer assessment using CADx over manual review, in eight high-quality observer-performance studies. The improved accuracy afforded by radiologic lung-CADx suggests the need to explore its use in screening and regular clinical workflow. PMID:26616209

  17. Oxygen saturation detection aided with the theory of lock-in amplifier

    NASA Astrophysics Data System (ADS)

    Liu, Manjin; Hui, Mei; Liu, Ming; Zhao, Yuejin; Dong, Liquan; Wu, Hong; Liu, Xiaohua; Zhao, Zhu; Feng, Yun; Chen, Di; Yang, Lei; Zhao, Jingsheng

    2014-09-01

    This paper proposes a method to recover the pulse signal with the theory of lock-in amplifier and calculates the oxygen saturation. The pulse signal is obtained based on the method of Photoplethysmography (PPG). We use a LED as the light source and a photoelectric diode as the receiver to get a measured pulse wave. Because the pulse wave obtained by this method is easily disturbed by motion artifact, we use an electrocardiogram (ECG) signal to aid PPG measurement. Firstly, the ECG signal is processed by the Fast Fourier Transform (FFT) and get the heart rate. Secondly, with the value of heart rate, a typical noise free pulse waveform can be constructed. Finally, we use it as a reference input to get a recovered pulse wave by the theory of lock-in amplifier. Thus, the value of oxygen saturation can be calculated accurately through two recovered pulse waveforms of red (660nm) and infrared (940nm) light. Some volunteers were tested. The correlation coefficient between the experimental data and the data provided by a reference instrument is 0.98, proving that this method has high reliability and utility in motion.

  18. Computer-aided detection of prostate cancer in T2-weighted MRI within the peripheral zone

    NASA Astrophysics Data System (ADS)

    Rampun, Andrik; Zheng, Ling; Malcolm, Paul; Tiddeman, Bernie; Zwiggelaar, Reyer

    2016-07-01

    In this paper we propose a prostate cancer computer-aided diagnosis (CAD) system and suggest a set of discriminant texture descriptors extracted from T2-weighted MRI data which can be used as a good basis for a multimodality system. For this purpose, 215 texture descriptors were extracted and eleven different classifiers were employed to achieve the best possible results. The proposed method was tested based on 418 T2-weighted MR images taken from 45 patients and evaluated using 9-fold cross validation with five patients in each fold. The results demonstrated comparable results to existing CAD systems using multimodality MRI. We achieved an area under the receiver operating curve (A z ) values equal to 90.0%+/- 7.6% , 89.5%+/- 8.9% , 87.9%+/- 9.3% and 87.4%+/- 9.2% for Bayesian networks, ADTree, random forest and multilayer perceptron classifiers, respectively, while a meta-voting classifier using average probability as a combination rule achieved 92.7%+/- 7.4% .

  19. Detection and localization of change points in temporal networks with the aid of stochastic block models

    NASA Astrophysics Data System (ADS)

    De Ridder, Simon; Vandermarliere, Benjamin; Ryckebusch, Jan

    2016-11-01

    A framework based on generalized hierarchical random graphs (GHRGs) for the detection of change points in the structure of temporal networks has recently been developed by Peel and Clauset (2015 Proc. 29th AAAI Conf. on Artificial Intelligence). We build on this methodology and extend it to also include the versatile stochastic block models (SBMs) as a parametric family for reconstructing the empirical networks. We use five different techniques for change point detection on prototypical temporal networks, including empirical and synthetic ones. We find that none of the considered methods can consistently outperform the others when it comes to detecting and locating the expected change points in empirical temporal networks. With respect to the precision and the recall of the results of the change points, we find that the method based on a degree-corrected SBM has better recall properties than other dedicated methods, especially for sparse networks and smaller sliding time window widths.

  20. AICPA standard aids in detecting risk factors for fraud. American Institute of Certified Public Accountants.

    PubMed

    Reinstein, A; Dery, R J

    1999-10-01

    The American Institute of Certified Public Accountants' Statement on Auditing Standards (SAS) No. 82, Consideration of Fraud in a Financial Statement Audit, requires independent auditors to obtain reasonable assurance that financial statements are free of material mis-statements caused by error or fraud. SAS No. 82 provides guidance for independent auditors to use to help detect and document risk factors related to potential fraud. But while SAS No. 82 suggests how auditors should assess the potential for fraud, it does not expand their detection responsibility. Accordingly, financial managers should discuss thoroughly with auditors the scope and focus of an audit as a means to further their compliance efforts.

  1. Energy Monitoring and Targeting as diagnosis; Applying work analysis to adapt a statistical change detection strategy using representation aiding

    NASA Astrophysics Data System (ADS)

    Hilliard, Antony

    Energy Monitoring and Targeting is a well-established business process that develops information about utility energy consumption in a business or institution. While M&T has persisted as a worthwhile energy conservation support activity, it has not been widely adopted. This dissertation explains M&T challenges in terms of diagnosing and controlling energy consumption, informed by a naturalistic field study of M&T work. A Cognitive Work Analysis of M&T identifies structures that diagnosis can search, information flows un-supported in canonical support tools, and opportunities to extend the most popular tool for MM&T: Cumulative Sum of Residuals (CUSUM) charts. A design application outlines how CUSUM charts were augmented with a more contemporary statistical change detection strategy, Recursive Parameter Estimates, modified to better suit the M&T task using Representation Aiding principles. The design was experimentally evaluated in a controlled M&T synthetic task, and was shown to significantly improve diagnosis performance.

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

    PubMed

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

    2015-04-01

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

  3. Computer-aided detection of architectural distortion in prior mammograms of interval cancer.

    PubMed

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

    2010-10-01

    Architectural distortion is an important sign of breast cancer, but because of its subtlety, it is a common cause of false-negative findings on screening mammograms. This paper presents methods for the detection of architectural distortion in mammograms of interval cancer cases taken prior to the detection of breast cancer using Gabor filters, phase portrait analysis, fractal analysis, and texture analysis. The methods were used to detect initial candidates for sites of architectural distortion in prior mammograms of interval cancer and also normal control cases. A total of 4,224 regions of interest (ROIs) were automatically obtained from 106 prior mammograms of 56 interval cancer cases, including 301 ROIs related to architectural distortion, and from 52 prior mammograms of 13 normal cases. For each ROI, the fractal dimension and Haralick's texture features were computed. Feature selection was performed separately using stepwise logistic regression and stepwise regression. The best results achieved, in terms of the area under the receiver operating characteristics curve, with the features selected by stepwise logistic regression are 0.76 with the Bayesian classifier, 0.73 with Fisher linear discriminant analysis, 0.77 with an artificial neural network based on radial basis functions, and 0.77 with a support vector machine. Analysis of the performance of the methods with free-response receiver operating characteristics indicated a sensitivity of 0.80 at 7.6 false positives per image. The methods have good potential in detecting architectural distortion in mammograms of interval cancer cases.

  4. Computer-aided detection of human cone photoreceptor inner segments using multi-scale circular voting

    NASA Astrophysics Data System (ADS)

    Liu, Jianfei; Dubra, Alfredo; Tam, Johnny

    2016-03-01

    Cone photoreceptors are highly specialized cells responsible for the origin of vision in the human eye. Their inner segments can be noninvasively visualized using adaptive optics scanning light ophthalmoscopes (AOSLOs) with nonconfocal split detection capabilities. Monitoring the number of cones can lead to more precise metrics for real-time diagnosis and assessment of disease progression. Cell identification in split detection AOSLO images is hindered by cell regions with heterogeneous intensity arising from shadowing effects and low contrast boundaries due to overlying blood vessels. Here, we present a multi-scale circular voting approach to overcome these challenges through the novel combination of: 1) iterative circular voting to identify candidate cells based on their circular structures, 2) a multi-scale strategy to identify the optimal circular voting response, and 3) clustering to improve robustness while removing false positives. We acquired images from three healthy subjects at various locations on the retina and manually labeled cell locations to create ground-truth for evaluating the detection accuracy. The images span a large range of cell densities. The overall recall, precision, and F1 score were 91±4%, 84±10%, and 87±7% (Mean±SD). Results showed that our method for the identification of cone photoreceptor inner segments performs well even with low contrast cell boundaries and vessel obscuration. These encouraging results demonstrate that the proposed approach can robustly and accurately identify cells in split detection AOSLO images.

  5. Early detection monitoring for larval dreissenid mussels: How much plankton sampling is enough?

    USGS Publications Warehouse

    Counihan, Timothy D.; Bollens, Stephen M.

    2017-01-01

    The development of quagga and zebra mussel (dreissenids) monitoring programs in the Pacific Northwest provides a unique opportunity to evaluate a regional invasive species detection effort early in its development. Recent studies suggest that the ecological and economic costs of a dreissenid infestation in the Pacific Northwest of the USA would be significant. Consequently, efforts are underway to monitor for the presence of dreissenids. However, assessments of whether these efforts provide for early detection are lacking. We use information collected from 2012 to 2014 to characterize the development of larval dreissenid monitoring programs in the states of Idaho, Montana, Oregon, and Washington in the context of introduction and establishment risk. We also estimate the effort needed for high-probability detection of rare planktonic taxa in four Columbia and Snake River reservoirs and assess whether the current level of effort provides for early detection. We found that the effort expended to monitor for dreissenid mussels increased substantially from 2012 to 2014, that efforts were distributed across risk categories ranging from high to very low, and that substantial gaps in our knowledge of both introduction and establishment risk exist. The estimated volume of filtered water required to fully census planktonic taxa or to provide high-probability detection of rare taxa was high for the four reservoirs examined. We conclude that the current level of effort expended does not provide for high-probability detection of larval dreissenids or other planktonic taxa when they are rare in these reservoirs. We discuss options to improve early detection capabilities.

  6. Systematic Review of Metabolic Syndrome Biomarkers: A Panel for Early Detection, Management, and Risk Stratification in the West Virginian Population

    PubMed Central

    Srikanthan, Krithika; Feyh, Andrew; Visweshwar, Haresh; Shapiro, Joseph I.; Sodhi, Komal

    2016-01-01

    Introduction: Metabolic syndrome represents a cluster of related metabolic abnormalities, including central obesity, hypertension, dyslipidemia, hyperglycemia, and insulin resistance, with central obesity and insulin resistance in particular recognized as causative factors. These metabolic derangements present significant risk factors for cardiovascular disease, which is commonly recognized as the primary clinical outcome, although other outcomes are possible. Metabolic syndrome is a progressive condition that encompasses a wide array of disorders with specific metabolic abnormalities presenting at different times. These abnormalities can be detected and monitored via serum biomarkers. This review will compile a list of promising biomarkers that are associated with metabolic syndrome and this panel can aid in early detection and management of metabolic syndrome in high risk populations, such as in West Virginia. Methods: A literature review was conducted using PubMed, Science Direct, and Google Scholar to search for markers related to metabolic syndrome. Biomarkers searched included adipokines (leptin, adiponectin), neuropeptides (ghrelin), pro-inflammatory cytokines (IL-6, TNF-α), anti-inflammatory cytokines (IL-10), markers of antioxidant status (OxLDL, PON-1, uric acid), and prothrombic factors (PAI-1). Results: According to the literature, the concentrations of pro-inflammatory cytokines (IL-6, TNF-α), markers of pro-oxidant status (OxLDL, uric acid), and prothrombic factors (PAI-1) were elevated in metabolic syndrome. Additionally, leptin concentrations were found to be elevated in metabolic syndrome as well, likely due to leptin resistance. In contrast, concentrations of anti-inflammatory cytokines (IL-10), ghrelin, adiponectin, and antioxidant factors (PON-1) were decreased in metabolic syndrome, and these decreases also correlated with specific disorders within the cluster. Conclusion: Based on the evidence presented within the literature, the

  7. Benefits of texture analysis of dual energy CT for Computer-Aided pulmonary embolism detection.

    PubMed

    Foncubierta-Rodríguez, Antonio; Jiménez del Toro, Óscar Alfonso; Platon, Alexandra; Poletti, Pierre-Alexandre; Müller, Henning; Depeursinge, Adrien

    2013-01-01

    Pulmonary embolism is an avoidable cause of death if treated immediately but delays in diagnosis and treatment lead to an increased risk. Computer-assisted image analysis of both unenhanced and contrast-enhanced computed tomography (CT) have proven useful for diagnosis of pulmonary embolism. Dual energy CT provides additional information over the standard single energy scan by generating four-dimensional (4D) data, in our case with 11 energy levels in 3D. In this paper a 4D texture analysis method capable of detecting pulmonary embolism in dual energy CT is presented. The method uses wavelet-based visual words together with an automatic geodesic-based region of interest detection algorithm to characterize the texture properties of each lung lobe. Results show an increase in performance with respect to the single energy CT analysis, as well as an accuracy gain compared to preliminary work on a small dataset.

  8. Computer-aided diagnosis for detection of cardiomegaly in digital chest radiographs

    NASA Astrophysics Data System (ADS)

    Ishida, Takayuki; Katsuragawa, Shigehiko; Chida, Koichi; MacMahon, Heber; Doi, Kunio

    2005-04-01

    The cardio-thoracic ratio (CTR) is commonly measured manually for the evaluation of cardiomegaly. To determine the CTR automatically, we have developed a computerized scheme based on gray-level histogram analysis and an edge detection technique with feature analysis. The database used in this study consisted of 392 chest radiographs, which included 304 normals and 88 abnormals with cardiomegaly. The pixel size and the quantization level of the image were 0.175 mm and 1024, respectively. We performed a nonlinear density correction to maintain consistency in the density and contrast of the image. Initial heart edge detection was performed by selection of a certain range of pixel values in the histogram of a rectangular area at the center of a low-resolution image. Feature analysis with use of an edge gradient and with the orientation obtained by a Sobel operator was applied for accurate identification of the heart edges, which tend to have large edge gradients in a certain range of orientations. In addition, to determine the CTR, we detected the ribcage edges automatically by using image profile analysis. In 94.9% of all of the cases, the heart edges were detected accurately by use of this scheme. The area under the ROC curve (Az value) in distinguishing between normals and abnormals with cardiomegaly based on the CTR was 0.912. Because the CTR is measured automatically and quickly (in less than 1 sec.), radiologists could save reading time. The computerized scheme will be useful for the assessment of cardiomegaly on chest radiographs.

  9. Can Automated Imaging for Optic Disc and Retinal Nerve Fiber Layer Analysis Aid Glaucoma Detection?

    PubMed Central

    Banister, Katie; Boachie, Charles; Bourne, Rupert; Cook, Jonathan; Burr, Jennifer M.; Ramsay, Craig; Garway-Heath, David; Gray, Joanne; McMeekin, Peter; Hernández, Rodolfo; Azuara-Blanco, Augusto

    2016-01-01

    specificity was 67.7% (95% CI, 64.2%–71.2%); OCT sensitivity was 76.9% (95% CI, 69.2%–83.4%), and specificity was 78.5% (95% CI, 75.4%–81.4%). Including only eyes with severe glaucoma, sensitivity increased: HRT MRA, HRT GPS, and OCT would miss 5% of eyes, and GDx would miss 21% of eyes. A combination of 2 different tests did not improve the accuracy substantially. Conclusions Automated imaging technologies can aid clinicians in diagnosing glaucoma, but may not replace current strategies because they can miss some cases of severe glaucoma. PMID:27016459

  10. A Mass Spectrometric Analysis Method Based on PPCA and SVM for Early Detection of Ovarian Cancer.

    PubMed

    Wu, Jiang; Ji, Yanju; Zhao, Ling; Ji, Mengying; Ye, Zhuang; Li, Suyi

    2016-01-01

    Background. Surfaced-enhanced laser desorption-ionization-time of flight mass spectrometry (SELDI-TOF-MS) technology plays an important role in the early diagnosis of ovarian cancer. However, the raw MS data is highly dimensional and redundant. Therefore, it is necessary to study rapid and accurate detection methods from the massive MS data. Methods. The clinical data set used in the experiments for early cancer detection consisted of 216 SELDI-TOF-MS samples. An MS analysis method based on probabilistic principal components analysis (PPCA) and support vector machine (SVM) was proposed and applied to the ovarian cancer early classification in the data set. Additionally, by the same data set, we also established a traditional PCA-SVM model. Finally we compared the two models in detection accuracy, specificity, and sensitivity. Results. Using independent training and testing experiments 10 times to evaluate the ovarian cancer detection models, the average prediction accuracy, sensitivity, and specificity of the PCA-SVM model were 83.34%, 82.70%, and 83.88%, respectively. In contrast, those of the PPCA-SVM model were 90.80%, 92.98%, and 88.97%, respectively. Conclusions. The PPCA-SVM model had better detection performance. And the model combined with the SELDI-TOF-MS technology had a prospect in early clinical detection and diagnosis of ovarian cancer.

  11. A Mass Spectrometric Analysis Method Based on PPCA and SVM for Early Detection of Ovarian Cancer

    PubMed Central

    Wu, Jiang; Ji, Mengying; Ye, Zhuang

    2016-01-01

    Background. Surfaced-enhanced laser desorption-ionization-time of flight mass spectrometry (SELDI-TOF-MS) technology plays an important role in the early diagnosis of ovarian cancer. However, the raw MS data is highly dimensional and redundant. Therefore, it is necessary to study rapid and accurate detection methods from the massive MS data. Methods. The clinical data set used in the experiments for early cancer detection consisted of 216 SELDI-TOF-MS samples. An MS analysis method based on probabilistic principal components analysis (PPCA) and support vector machine (SVM) was proposed and applied to the ovarian cancer early classification in the data set. Additionally, by the same data set, we also established a traditional PCA-SVM model. Finally we compared the two models in detection accuracy, specificity, and sensitivity. Results. Using independent training and testing experiments 10 times to evaluate the ovarian cancer detection models, the average prediction accuracy, sensitivity, and specificity of the PCA-SVM model were 83.34%, 82.70%, and 83.88%, respectively. In contrast, those of the PPCA-SVM model were 90.80%, 92.98%, and 88.97%, respectively. Conclusions. The PPCA-SVM model had better detection performance. And the model combined with the SELDI-TOF-MS technology had a prospect in early clinical detection and diagnosis of ovarian cancer. PMID:27642365

  12. Hyperspectral remote sensing techniques for early detection of plant diseases

    NASA Astrophysics Data System (ADS)

    Krezhova, Dora; Maneva, Svetla; Zdravev, Tomas

    Hyperspectral remote sensing is an emerging, multidisciplinary field with diverse applications in Earth observation. Nowadays spectral remote sensing techniques allow presymptomatic monitoring of changes in the physiological state of plants with high spectral resolution. Hyperspectral leaf reflectance and chlorophyll fluorescence proved to be highly suitable for identification of growth anomalies of cultural plants that result from the environmental changes and different stress factors. Hyperspectral technologies can find place in many scientific areas, as well as for monitoring of plants status and functioning to help in making timely management decisions. This research aimed to detect a presence of viral infection in young pepper plants (Capsicum annuum L.) caused by Cucumber Mosaic Virus (CMV) by using hyperspectral reflectance and fluorescence data and to assess the effect of some growth regulators on the development of the disease. In Bulgaria CMV is one of the widest spread pathogens, causing the biggest economical losses in crop vegetable production. Leaf spectral reflectance and fluorescence data were collected by a portable fibre-optics spectrometer in the spectral ranges 450÷850 nm and 600-900 nm. Greenhouse experiment with pepper plants of two cultivars, Sivria (sensitive to CMV) and Ostrion (resistant to CMV) were used. The plants were divided into six groups. The first group consisted of healthy (control) plants. At growth stage 4-6 expanded leaf, the second group was inoculated with CMV. The other four groups were treated with growth regulators: Spermine, MEIA (beta-monomethyl ester of itaconic acid), ВТН (benzo(1,2,3)thiadiazole-7-carbothioic acid-S-methyl ester) and Phytoxin. On the next day, the pepper plants of these four groups were inoculated with CMV. The viral concentrations in the plants were determined by the serological method DAS-ELISA. Statistical, first derivative and cluster analysis were applied and several vegetation indices were

  13. Computational Analysis of Specific MicroRNA Biomarkers for Noninvasive Early Cancer Detection

    PubMed Central

    Song, Tianci; Liang, Yanchun; Cao, Zhongbo

    2017-01-01

    Cancer is a complex disease residing in various tissues of human body, accompanied with many abnormalities and mutations in genomes, transcriptome, and epigenome. Early detection plays a crucial role in extending survival time of all major cancer types. Recent advances in microarray and sequencing techniques have given more support to identifying effective biomarkers for early detection of cancer. MicroRNAs (miRNAs) are more and more frequently used as candidates for biomarkers in cancer related studies due to their regulation of target gene expression. In this paper, the comparative analysis is used to discover miRNA expression patterns in cancer versus normal samples on early stage of eight prevalent cancer types. Our work focuses on the specific miRNAs biomarkers identification and function analysis. Several identified miRNA biomarkers in this paper are matched well with those reported in existing researches, and most of them could serve as potential candidate indicators for clinical early diagnosis applications. PMID:28357401

  14. Computer-aided teniae coli detection using height maps from computed tomographic colonography images

    NASA Astrophysics Data System (ADS)

    Wei, Zhuoshi; Yao, Jianhua; Wang, Shijun; Summers, Ronald M.

    2011-03-01

    Computed tomographic colonography (CTC) is a minimally invasive technique for colonic polyps and cancer screening. Teniae coli are three bands of longitudinal smooth muscle on the colon surface. They are parallel, equally distributed on the colon wall, and form a triple helix structure from the appendix to the sigmoid colon. Because of their characteristics, teniae coli are important anatomical meaningful landmarks on human colon. This paper proposes a novel method for teniae coli detection on CT colonography. We first unfold the three-dimensional (3D) colon using a reversible projection technique and compute the two-dimensional (2D) height map of the unfolded colon. The height map records the elevation of colon surface relative to the unfolding plane, where haustral folds corresponding to high elevation points and teniae to low elevation points. The teniae coli are detected on the height map and then projected back to the 3D colon. Since teniae are located where the haustral folds meet, we break down the problem by first detecting haustral folds. We apply 2D Gabor filter banks to extract fold features. The maximum response of the filter banks is then selected as the feature image. The fold centers are then identified based on piecewise thresholding on the feature image. Connecting the fold centers yields a path of the folds. Teniae coli are finally extracted as lines running between the fold paths. Experiments were carried out on 7 cases. The proposed method yielded a promising result with an average normalized RMSE of 5.66% and standard deviation of 4.79% of the circumference of the colon.

  15. Family Routines and Parental Monitoring as Protective Factors among Early and Middle Adolescents Affected by Maternal HIV/AIDS

    ERIC Educational Resources Information Center

    Murphy, Debra A.; Marelich, William D.; Herbeck, Diane M.; Payne, Diana L.

    2009-01-01

    The influence of parenting skills on adolescent outcomes among children affected by maternal HIV/AIDS (N = 118, M age = 13) was investigated. Among families with more frequent family routines, over time adolescents showed lower rates of aggression, anxiety, worry, depression, conduct disorder, binge drinking, and increased self-concept. Among…

  16. 78 FR 25458 - Ryan White HIV/AIDS Program, Part C Early Intervention Services Grant Under the Ryan White HIV...

    Federal Register 2010, 2011, 2012, 2013, 2014

    2013-05-01

    ..., explained below in further detail. Justification for the Exception to Competition: The Catalyst Foundation... 330 of the PHS Act (H80CS22686), and the sub-grantee to Catalyst that is already providing the clinical care for the Ryan White HIV/AIDS Program Part C clients. The Catalyst Foundation has...

  17. A novel scheme to aid coherent detection of GMSK signals in fast Rayleigh fading channels

    NASA Technical Reports Server (NTRS)

    Leung, Patrick S. K.; Feher, Kamilo

    1990-01-01

    A novel scheme to insert carrier pilot to Gaussian Minimum Shift Keying (GMSK) signal using Binary Block Code (BBC) and a highpass filter in baseband is proposed. This allows the signal to be coherently demodulated even in a fast Rayleigh fading environment. As an illustrative example, the scheme is applied to a 16 kb/s GMSK signal, and its performance over a fast Rayleigh fading channel is investigated using computer simulation. This modem's 'irreducible error rate' is found to be Pe = 5.5 x 10(exp -5) which is more than that of differential detection. The modem's performance in Rician fading channel is currently under investigation.

  18. Critique of early models of the demographic impact of HIV/AIDS in sub-Saharan Africa based on contemporary empirical data from Zimbabwe.

    PubMed

    Gregson, Simon; Nyamukapa, Constance; Lopman, Ben; Mushati, Phyllis; Garnett, Geoffrey P; Chandiwana, Stephen K; Anderson, Roy M

    2007-09-11

    Early mathematical models varied in their predictions of the impact of HIV/AIDS on population growth from minimal impact to reductions in growth, in pessimistic scenarios, from positive to negative values over a period of 25 years. Models predicting negative rates of natural increase forecast little effect on the dependency ratio. Twenty years later, HIV prevalence in small towns, estates, and rural villages in eastern Zimbabwe, has peaked within the intermediate range predicted by the early models, but the demographic impact has been more acute than was predicted. Despite concurrent declines in fertility, fueled in part by HIV infections (total fertility is now 8% lower than expected without an epidemic), and a doubling of the crude death rate because of HIV/AIDS, the rate of natural population increase between 1998 and 2005 remained positive in each socioeconomic stratum. In the worst-affected areas (towns with HIV prevalence of 33%), HIV/AIDS reduced growth by two-thirds from 2.9% to 1.0%. The dependency ratio fell from 1.21 at the onset of the HIV epidemic to 0.78, the impact of HIV-associated adult mortality being outweighed by fertility decline. With the benefit of hindsight, the more pessimistic early models overestimated the demographic impact of HIV epidemics by overextrapolating initial HIV growth rates or not allowing for heterogeneity in key parameters such as transmissibility and sexual risk behavior. Data collected since the late 1980s show that there was a mismatch between the observed growth in the HIV epidemic and assumptions made about viral transmission.

  19. Critique of early models of the demographic impact of HIV/AIDS in sub-Saharan Africa based on contemporary empirical data from Zimbabwe

    PubMed Central

    Gregson, Simon; Nyamukapa, Constance; Lopman, Ben; Mushati, Phyllis; Garnett, Geoffrey P.; Chandiwana, Stephen K.; Anderson, Roy M.

    2007-01-01

    Early mathematical models varied in their predictions of the impact of HIV/AIDS on population growth from minimal impact to reductions in growth, in pessimistic scenarios, from positive to negative values over a period of 25 years. Models predicting negative rates of natural increase forecast little effect on the dependency ratio. Twenty years later, HIV prevalence in small towns, estates, and rural villages in eastern Zimbabwe, has peaked within the intermediate range predicted by the early models, but the demographic impact has been more acute than was predicted. Despite concurrent declines in fertility, fueled in part by HIV infections (total fertility is now 8% lower than expected without an epidemic), and a doubling of the crude death rate because of HIV/AIDS, the rate of natural population increase between 1998 and 2005 remained positive in each socioeconomic stratum. In the worst-affected areas (towns with HIV prevalence of 33%), HIV/AIDS reduced growth by two-thirds from 2.9% to 1.0%. The dependency ratio fell from 1.21 at the onset of the HIV epidemic to 0.78, the impact of HIV-associated adult mortality being outweighed by fertility decline. With the benefit of hindsight, the more pessimistic early models overestimated the demographic impact of HIV epidemics by overextrapolating initial HIV growth rates or not allowing for heterogeneity in key parameters such as transmissibility and sexual risk behavior. Data collected since the late 1980s show that there was a mismatch between the observed growth in the HIV epidemic and assumptions made about viral transmission. PMID:17761795

  20. Portable microfluidic raman system for rapid, label-free early disease signature detection

    SciTech Connect

    Wu, Meiye; Davis, Ryan Wesley; Hatch, Anson

    2015-09-01

    In the early stages of infection, patients develop non-specific or no symptoms at all. While waiting for identification of the infectious agent, precious window of opportunity for early intervention is lost. The standard diagnostics require affinity reagents and sufficient pathogen titers to reach the limit of detection. In the event of a disease outbreak, triaging the at-risk population rapidly and reliably for quarantine and countermeasure is more important than the identification of the pathogen by name. To expand Sandia's portfolio of Biological threat management capabilities, we will utilize Raman spectrometry to analyze immune subsets in whole blood to rapidly distinguish infected from non-infected, and bacterial from viral infection, for the purpose of triage during an emergency outbreak. The goal of this one year LDRD is to determine whether Raman spectroscopy can provide label-free detection of early disease signatures, and define a miniaturized Raman detection system meeting requirements for low- resource settings.

  1. Cytology Preparations of Formalin Fixative Aid Detection of Giardia in Duodenal Biopsy Samples.

    PubMed

    Panarelli, Nicole C; Gobara, Nariman; Hoda, Rana S; Chaump, Michael; Jessurun, Jose; Yantiss, Rhonda K

    2017-04-01

    Giardiasis is the most common intestinal parasitic infection in the United States. The organism elicits no, or minimal, inflammatory changes in duodenal biopsy samples, so it can be easily overlooked. We performed this study to determine whether Giardia could be isolated from the formalin fixative of biopsy samples, and to evaluate the value of fluid analysis in the assessment for potential infection. We prospectively evaluated duodenal biopsy samples from 92 patients with a clinical suspicion of giardiasis or symptoms compatible with that diagnosis (ie, diarrhea, bloating, or abdominal pain) Biopsy samples were routinely processed and stained with hematoxylin and eosin. Histologic diagnoses included giardiasis (5 cases, 4%), normal findings (64 cases, 70%), peptic injury/active duodenitis (12 cases, 13%), and intraepithelial lymphocytosis with villous blunting (10 cases, 12%). Fifteen cases (13%) showed detached degenerated epithelial cells or mucus droplets in the intervillous space that resembled Giardia. Cytology slides were prepared from formalin in the biopsy container using the standard Cytospin protocol and reviewed by a cytopathologist blinded to the biopsy findings. Cytologic evaluation revealed Giardia spp. in all 5 biopsy-proven cases, and identified an additional case that was not detected by biopsy analysis. Organisms were significantly more numerous (mean: 400 trophozoites; range, 120 to 810) and showed better morphologic features in cytology preparations compared with tissue sections (mean: 129 trophozoites; range, 37 to 253 organisms; P=0.05). Our findings suggest that cytology preparations from formalin fixative can resolve diagnostically challenging cases and even enhance Giardia detection in some cases.

  2. Computer aided detection of tumor and edema in brain FLAIR magnetic resonance image using ANN

    NASA Astrophysics Data System (ADS)

    Pradhan, Nandita; Sinha, A. K.

    2008-03-01

    This paper presents an efficient region based segmentation technique for detecting pathological tissues (Tumor & Edema) of brain using fluid attenuated inversion recovery (FLAIR) magnetic resonance (MR) images. This work segments FLAIR brain images for normal and pathological tissues based on statistical features and wavelet transform coefficients using k-means algorithm. The image is divided into small blocks of 4×4 pixels. The k-means algorithm is used to cluster the image based on the feature vectors of blocks forming different classes representing different regions in the whole image. With the knowledge of the feature vectors of different segmented regions, supervised technique is used to train Artificial Neural Network using fuzzy back propagation algorithm (FBPA). Segmentation for detecting healthy tissues and tumors has been reported by several researchers by using conventional MRI sequences like T1, T2 and PD weighted sequences. This work successfully presents segmentation of healthy and pathological tissues (both Tumors and Edema) using FLAIR images. At the end pseudo coloring of segmented and classified regions are done for better human visualization.

  3. A reverse order interview does not aid deception detection regarding intentions

    PubMed Central

    Fenn, Elise; McGuire, Mollie; Langben, Sara; Blandón-Gitlin, Iris

    2015-01-01

    Promising recent research suggests that more cognitively demanding interviews improve deception detection accuracy. Would these cognitively demanding techniques work in the same way when discriminating between true and false future intentions? In Experiment 1 participants planned to complete a task, but instead were intercepted and interviewed about their intentions. Participants lied or told the truth, and were subjected to high (reverse order) or low (sequential order) cognitive load interviews. Third-party observers watched these interviews and indicated whether they thought the person was lying or telling the truth. Subjecting participants to a reverse compared to sequential interview increased the misidentification rate and the appearance of cognitive load in truth tellers. People lying about false intentions were not better identified. In Experiment 2, a second set of third-party observers rated behavioral cues. Consistent with Experiment 1, truth tellers, but not liars, exhibited more behaviors associated with lying and fewer behaviors associated with truth telling in the reverse than sequential interview. Together these results suggest that certain cognitively demanding interviews may be less useful when interviewing to detect false intentions. Explaining a true intention while under higher cognitive demand places truth tellers at risk of being misclassified. There may be such a thing as too much cognitive load induced by certain techniques PMID:26379610

  4. A new partial volume segmentation approach to extract bladder wall for computer-aided detection in virtual cystoscopy

    NASA Astrophysics Data System (ADS)

    Li, Lihong; Wang, Zigang; Li, Xiang; Wei, Xinzhou; Adler, Howard L.; Huang, Wei; Rizvi, Syed A.; Meng, Hong; Harrington, Donald P.; Liang, Zhengrong

    2004-04-01

    We propose a new partial volume (PV) segmentation scheme to extract bladder wall for computer aided detection (CAD) of bladder lesions using multispectral MR images. Compared with CT images, MR images provide not only a better tissue contrast between bladder wall and bladder lumen, but also the multispectral information. As multispectral images are spatially registered over three-dimensional space, information extracted from them is more valuable than that extracted from each image individually. Furthermore, the intrinsic T1 and T2 contrast of the urine against the bladder wall eliminates the invasive air insufflation procedure. Because the earliest stages of bladder lesion growth tend to develop gradually and migrate slowly from the mucosa into the bladder wall, our proposed PV algorithm quantifies images as percentages of tissues inside each voxel. It preserves both morphology and texture information and provides tissue growth tendency in addition to the anatomical structure. Our CAD system utilizes a multi-scan protocol on dual (full and empty of urine) states of the bladder to extract both geometrical and texture information. Moreover, multi-scan of transverse and coronal MR images eliminates motion artifacts. Experimental results indicate that the presented scheme is feasible towards mass screening and lesion detection for virtual cystoscopy (VC).

  5. Analysis of computer-aided detection techniques and signal characteristics for clustered microcalcifications on digital mammography and digital breast tomosynthesis

    NASA Astrophysics Data System (ADS)

    Samala, Ravi K.; Chan, Heang-Ping; Hadjiiski, Lubomir M.; Helvie, Mark A.

    2016-10-01

    With IRB approval, digital breast tomosynthesis (DBT) images of human subjects were collected using a GE GEN2 DBT prototype system. Corresponding digital mammograms (DMs) of the same subjects were collected retrospectively from patient files. The data set contained a total of 237 views of DBT and equal number of DM views from 120 human subjects, each included 163 views with microcalcification clusters (MCs) and 74 views without MCs. The data set was separated into training and independent test sets. The pre-processing, object prescreening and segmentation, false positive reduction and clustering strategies for MC detection by three computer-aided detection (CADe) systems designed for DM, DBT, and a planar projection image generated from DBT were analyzed. Receiver operating characteristic (ROC) curves based on features extracted from microcalcifications and free-response ROC (FROC) curves based on scores from MCs were used to quantify the performance of the systems. Jackknife FROC (JAFROC) and non-parametric analysis methods were used to determine the statistical difference between the FROC curves. The difference between the CADDM and CADDBT systems when the false positive rate was estimated from cases without MCs did not reach statistical significance. The study indicates that the large search space in DBT may not be a limiting factor for CADe to achieve similar performance as that observed in DM.

  6. False-positive reduction using Hessian features in computer-aided detection of pulmonary nodules on thoracic CT images

    NASA Astrophysics Data System (ADS)

    Sahiner, Berkman; Ge, Zhanyu; Chan, Heang-Ping; Hadjiiski, Lubomir M.; Bogot, Naama; Cascade, Philip N.; Kazerooni, Ella A.

    2005-04-01

    We are developing a computer-aided detection (CAD) system for lung nodules in thoracic CT volumes. During false positive (FP) reduction, the image structures around the identified nodule candidates play an important role in differentiating nodules from vessels. In our previous work, we exploited shape and first-order derivative information of the images by extracting ellipsoid and gradient field features. The purpose of this study was to explore the object shape information using second-order derivatives and the Hessian matrix to further improve the performance of our detection system. Eight features related to the eigenvalues of the Hessian matrix were extracted from a volume of interest containing the object, and were combined with ellipsoid and gradient field features to discriminate nodules from FPs. A data set of 82 CT scans from 56 patients was used to evaluate the usefulness of the FP reduction technique. The classification accuracy was assessed using the area Az under the receiving operating characteristic curve and the number of FPs per section at 80% sensitivity. In the combined feature space, we obtained a test Az of 0.97 +/- 0.01, and 0.27 FPs/section at 80% sensitivity. Our results indicate that combining the Hessian, ellipsoid and gradient field features can significantly improve the performance of our FP reduction stage.

  7. Computer-aided detection of masses in full-field digital mammography using screen-film mammograms for training.

    PubMed

    Kallenberg, Michiel; Karssemeijer, Nico

    2008-12-07

    It would be of great value when available databases of screen-film mammography (SFM) images can be used to train full-field digital mammography (FFDM) computer-aided detection (CAD) systems, as compilation of new databases is costly. In this paper, we investigate this possibility. Firstly, we develop a method that converts an FFDM image into an SFM-like representation. In this conversion method, we establish a relation between exposure and optical density by simulation of an automatic exposure control unit. Secondly, we investigate the effects of using the SFM images as training samples compared to training with FFDM images. Our FFDM database consisted of 266 cases, of which 102 were biopsy-proven malignant masses and 164 normals. The images were acquired with systems of two different manufacturers. We found that, when we trained our FFDM CAD system with a small number of images, training with FFDM images, using a five-fold crossvalidation procedure, outperformed training with SFM images. However, when the full SFM database, consisting of 348 abnormal cases (including 204 priors) and 810 normal cases, was used for training, SFM training outperformed FFDMA training. These results show that an existing CAD system for detection of masses in SFM can be used for FFDM images without retraining.

  8. Deep-learning convolution neural network for computer-aided detection of microcalcifications in digital breast tomosynthesis

    NASA Astrophysics Data System (ADS)

    Samala, Ravi K.; Chan, Heang-Ping; Hadjiiski, Lubomir M.; Cha, Kenny; Helvie, Mark A.

    2016-03-01

    A deep learning convolution neural network (DLCNN) was designed to differentiate microcalcification candidates detected during the prescreening stage as true calcifications or false positives in a computer-aided detection (CAD) system for clustered microcalcifications. The microcalcification candidates were extracted from the planar projection image generated from the digital breast tomosynthesis volume reconstructed by a multiscale bilateral filtering regularized simultaneous algebraic reconstruction technique. For training and testing of the DLCNN, true microcalcifications are manually labeled for the data sets and false positives were obtained from the candidate objects identified by the CAD system at prescreening after exclusion of the true microcalcifications. The DLCNN architecture was selected by varying the number of filters, filter kernel sizes and gradient computation parameter in the convolution layers, resulting in a parameter space of 216 combinations. The exhaustive grid search method was used to select an optimal architecture within the parameter space studied, guided by the area under the receiver operating characteristic curve (AUC) as a figure-of-merit. The effects of varying different categories of the parameter space were analyzed. The selected DLCNN was compared with our previously designed CNN architecture for the test set. The AUCs of the CNN and DLCNN was 0.89 and 0.93, respectively. The improvement was statistically significant (p < 0.05).

  9. 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.

  10. Detection of compatibility between baclofen and excipients with aid of infrared spectroscopy and chemometry

    NASA Astrophysics Data System (ADS)

    Rojek, Barbara; Wesolowski, Marek; Suchacz, Bogdan

    2013-12-01

    In the paper infrared (IR) spectroscopy and multivariate exploration techniques: principal component analysis (PCA) and cluster analysis (CA) were applied as supportive methods for the detection of physicochemical incompatibilities between baclofen and excipients. In the course of research, the most useful rotational strategy in PCA proved to be varimax normalized, while in CA Ward's hierarchical agglomeration with Euclidean distance measure enabled to yield the most interpretable results. Chemometrical calculations confirmed the suitability of PCA and CA as the auxiliary methods for interpretation of infrared spectra in order to recognize whether compatibilities or incompatibilities between active substance and excipients occur. On the basis of IR spectra and the results of PCA and CA it was possible to demonstrate that the presence of lactose, β-cyclodextrin and meglumine in binary mixtures produce interactions with baclofen. The results were verified using differential scanning calorimetry, differential thermal analysis, thermogravimetry/differential thermogravimetry and X-ray powder diffraction analyses.

  11. RED Alert – Early warning or detection of global re-emerging infectious disease (RED)

    SciTech Connect

    Deshpande, Alina

    2016-07-13

    This is the PDF of a presentation for a webinar given by Los Alamos National Laboratory (LANL) on the early warning or detection of global re-emerging infectious disease (RED). First, there is an overview of LANL biosurveillance tools. Then, information is given about RED Alert. Next, a demonstration is given of a component prototype. RED Alert is an analysis tool that can provide early warning or detection of the re-emergence of an infectious disease at the global level, but through a local lens.

  12. Application of SVM classifier in thermographic image classification for early detection of breast cancer

    NASA Astrophysics Data System (ADS)

    Oleszkiewicz, Witold; Cichosz, Paweł; Jagodziński, Dariusz; Matysiewicz, Mateusz; Neumann, Łukasz; Nowak, Robert M.; Okuniewski, Rafał

    2016-09-01

    This article presents the application of machine learning algorithms for early detection of breast cancer on the basis of thermographic images. Supervised learning model: Support vector machine (SVM) and Sequential Minimal Optimization algorithm (SMO) for the training of SVM classifier were implemented. The SVM classifier was included in a client-server application which enables to create a training set of examinations and to apply classifiers (including SVM) for the diagnosis and early detection of the breast cancer. The sensitivity and specificity of SVM classifier were calculated based on the thermographic images from studies. Furthermore, the heuristic method for SVM's parameters tuning was proposed.

  13. Use of reflectance spectroscopy for early detection of calcium deficiency in plants

    NASA Astrophysics Data System (ADS)

    Li, Bingqing; Wah, Liew Oi; Asundi, Anand K.

    2005-04-01

    This article investigates calcium deficiency symptoms of the plants grown under hydroponics conditions. Leaf reflectance data were collected from plants, and then transformed to L*, a*, b* values, which provide color information of the leaves. After comparing the color information of deficient plants to control plants, a set of deficiency criterion was established for early detection of calcium deficiency in the plants. Calcium deficiency could be detected as early as two days from the onset of stress in mature plants when optical data were collected from terminal young leaves. Young plants subjected to calcium stress for 9 days could not be distinguished from nutrient sufficient plants.

  14. Proteomics approaches for early detection and targeted therapy of hepatocellular carcinoma

    PubMed Central

    Khare, Tripti; Khare, Sharad; Ibdah, Jamal A

    2017-01-01

    Hepatocellular carcinoma (HCC) is one of the leading causes of cancer related mortality worldwide. HCC incidences have increased worldwide though more prevalent in Asia and Africa. Hepatitis B virus and hepatitis C virus infections are mostly responsible of increased number of HCC cases. Biomarkers can help early detection and improve treatment regimen in patients as advanced stage is chemo-refractive with limited treatment options. Potential of proteomics in finding new biomarkers for early detection has been explored more recently. Future developments in this area rely on how efficiently we manage vast amount of data generated by these techniques and speed up the clinical trials to improve patient care. PMID:28144394

  15. Fully automated detection of the counting area in blood smears for computer aided hematology.

    PubMed

    Rupp, Stephan; Schlarb, Timo; Hasslmeyer, Erik; Zerfass, Thorsten

    2011-01-01

    For medical diagnosis, blood is an indispensable indicator for a wide variety of diseases, i.e. hemic, parasitic and sexually transmitted diseases. A robust detection and exact segmentation of white blood cells (leukocytes) in stained blood smears of the peripheral blood provides the base for a fully automated, image based preparation of the so called differential blood cell count in the context of medical laboratory diagnostics. Especially for the localization of the blood cells and in particular for the segmentation of the cells it is necessary to detect the working area of the blood smear. In this contribution we present an approach for locating the so called counting area on stained blood smears that is the region where cells are predominantly separated and do not interfere with each other. For this multiple images of a blood smear are taken and analyzed in order to select the image corresponding to this area. The analysis involves the computation of an unimodal function from image content that serves as indicator for the corresponding image. This requires a prior segmentation of the cells that is carried out by a binarization in the HSV color space. Finally, the indicator function is derived from the number of cells and the cells' surface area. Its unimodality guarantees to find a maximum value that corresponds to the counting areas image index. By this, a fast lookup of the counting area is performed enabling a fully automated analysis of blood smears for medical diagnosis. For an evaluation the algorithm's performance on a number of blood smears was compared with the ground truth information that has been defined by an adept hematologist.

  16. Efficacy of light based detection systems for early detection of oral cancer and oral potentially malignant disorders: Systematic review

    PubMed Central

    Reddy-Kantharaj, Yashoda-Bhoomi; Rakesh, Nagaraju; Janardhan-Reddy, Sujatha; Sahu, Shashikant

    2016-01-01

    Background Earlier detection of oral squamous cell carcinoma (OSCC) and oral potentially malignant disorders (OPMD) is essential for dental professionals to improve patient survival rates. The aim of this systematic review is to to evaluate the effectiveness of devices that utilise the principles of chemiluminescence and tissue autofluorescence as adjuncts in the detection of OSCC and OPMD. Material and Methods The electronic retrieval systems and databases searched for relevant articles were PubMed [MEDLINE] and Science direct. The search was for limited articles published in English or with an English abstract and articles published during the period from January 2005 to April 2014. Clinical trials utilized ViziLite, Microlux TM/DL and Visual Enhanced Light scope (VELscope) for early detection of OPMD and OSCC. Results Twenty primary studies published satisfied our criteria for selection - 10 utilised chemiluminescence and 10 tissue autofluorescence. Senstivity of Vizilite for detecting OSCC nad OPMD ranged from 77.1 % to 100% and specificity was low that ranged from 0% to 27.8%.Most have shown that chemiluminescence increases the brightness and margins of oral mucosal white lesions and thus assist in identification of mucosal lesions not considered under Conventional visual examination. However, it preferentially detects leukoplakia and may fail to spot red patches. Clinical trials demonstrated that sensitivity of VELscope in detecting malignancy and OPMD ranged from 22 % to 100 % and specificity ranged from 16 % to 100%. Most studies concluded that VELscope can help the experienced clinician to find oral precursor malignant lesions. But it couldnot differentiate between dysplasia and benign inflammatory conditions. Conclusions Both devices are simple, non-invasive test of the oral mucosa but are suited for clinicians with sufficient experience and training. More clinical trials in future should be conducted to establish optical imaging as an efficacious adjunct

  17. Early detection of sporadic pancreatic cancer: strategic map for innovation--a white paper.

    PubMed

    Kenner, Barbara J; Chari, Suresh T; Cleeter, Deborah F; Go, Vay Liang W

    2015-07-01

    Innovation leading to significant advances in research and subsequent translation to clinical practice is urgently necessary in early detection of sporadic pancreatic cancer. Addressing this need, the Early Detection of Sporadic Pancreatic Cancer Summit Conference was conducted by Kenner Family Research Fund in conjunction with the 2014 American Pancreatic Association and Japan Pancreas Society Meeting. International interdisciplinary scientific representatives engaged in strategic facilitated conversations based on distinct areas of inquiry: Case for Early Detection: Definitions, Detection, Survival, and Challenges; Biomarkers for Early Detection; Imaging; and Collaborative Studies. Ideas generated from the summit have led to the development of a Strategic Map for Innovation built upon 3 components: formation of an international collaborative effort, design of an actionable strategic plan, and implementation of operational standards, research priorities, and first-phase initiatives. Through invested and committed efforts of leading researchers and institutions, philanthropic partners, government agencies, and supportive business entities, this endeavor will change the future of the field and consequently the survival rate of those diagnosed with pancreatic cancer.

  18. A Novel Arc Fault Detector for Early Detection of Electrical Fires.

    PubMed

    Yang, Kai; Zhang, Rencheng; Yang, Jianhong; Liu, Canhua; Chen, Shouhong; Zhang, Fujiang

    2016-04-09

    Arc faults can produce very high temperatures and can easily ignite combustible materials; thus, they represent one of the most important causes of electrical fires. The application of arc fault detection, as an emerging early fire detection technology, is required by the National Electrical Code to reduce the occurrence of electrical fires. However, the concealment, randomness and diversity of arc faults make them difficult to detect. To improve the accuracy of arc fault detection, a novel arc fault detector (AFD) is developed in this study. First, an experimental arc fault platform is built to study electrical fires. A high-frequency transducer and a current transducer are used to measure typical load signals of arc faults and normal states. After the common features of these signals are studied, high-frequency energy and current variations are extracted as an input eigenvector for use by an arc fault detection algorithm. Then, the detection algorithm based on a weighted least squares support vector machine is designed and successfully applied in a microprocessor. Finally, an AFD is developed. The test results show that the AFD can detect arc faults in a timely manner and interrupt the circuit power supply before electrical fires can occur. The AFD is not influenced by cross talk or transient processes, and the detection accuracy is very high. Hence, the AFD can be installed in low-voltage circuits to monitor circuit states in real-time to facilitate the early detection of electrical fires.

  19. A Novel Arc Fault Detector for Early Detection of Electrical Fires

    PubMed Central

    Yang, Kai; Zhang, Rencheng; Yang, Jianhong; Liu, Canhua; Chen, Shouhong; Zhang, Fujiang

    2016-01-01

    Arc faults can produce very high temperatures and can easily ignite combustible materials; thus, they represent one of the most important causes of electrical fires. The application of arc fault detection, as an emerging early fire detection technology, is required by the National Electrical Code to reduce the occurrence of electrical fires. However, the concealment, randomness and diversity of arc faults make them difficult to detect. To improve the accuracy of arc fault detection, a novel arc fault detector (AFD) is developed in this study. First, an experimental arc fault platform is built to study electrical fires. A high-frequency transducer and a current transducer are used to measure typical load signals of arc faults and normal states. After the common features of these signals are studied, high-frequency energy and current variations are extracted as an input eigenvector for use by an arc fault detection algorithm. Then, the detection algorithm based on a weighted least squares support vector machine is designed and successfully applied in a microprocessor. Finally, an AFD is developed. The test results show that the AFD can detect arc faults in a timely manner and interrupt the circuit power supply before electrical fires can occur. The AFD is not influenced by cross talk or transient processes, and the detection accuracy is very high. Hence, the AFD can be installed in low-voltage circuits to monitor circuit states in real-time to facilitate the early detection of electrical fires. PMID:27070618

  20. Development of a computer-aided diagnostic scheme for detection of interval changes in successive whole-body bone scans

    SciTech Connect

    Shiraishi, Junji; Li Qiang; Appelbaum, Daniel; Pu Yonglin; Doi, Kunio

    2007-01-15

    Bone scintigraphy is the most frequent examination among various diagnostic nuclear medicine procedures. It is a well-established imaging modality for the diagnosis of osseous metastasis and for monitoring osseous tumor response to chemotherapy and radiation therapy. Although the sensitivity of bone scan examinations for detection of bone abnormalities has been considered to be relatively high, it is time consuming to identify multiple lesions such as bone metastases of prostate and breast cancers. In addition, it is very difficult to detect subtle interval changes between two successive abnormal bone scans, because of variations in patient conditions, the accumulation of radioisotopes during each examination, and the image quality of gamma cameras. Therefore, we developed a new computer-aided diagnostic (CAD) scheme for the detection of interval changes in successive whole-body bone scans by use of a temporal subtraction image which was obtained with a nonlinear image-warping technique. We carried out 58 pairs of successive bone scans in which each scan included both posterior and anterior views. We determined 107 'gold-standard' interval changes among the 58 pairs based on the consensus of three radiologists. Our computerized scheme consisted of seven steps, i.e., initial image density normalization on each image, image matching for the paired images, temporal subtraction by use of the nonlinear image-warping technique, initial detection of interval changes by use of temporal-subtraction images, image feature extraction of candidates of interval changes, rule-based tests by use of 16 image features for removing some false positives, and display of the computer output for identified interval changes. One hundred seven gold standard interval changes included 71 hot lesions (uptake was increased compared with the previous scan, or there was new uptake in the current scan) and 36 cold lesions (uptake was decreased or disappeared) for anterior and posterior views. The

  1. Large scale deep learning for computer aided detection of mammographic lesions.

    PubMed

    Kooi, Thijs; Litjens, Geert; van Ginneken, Bram; Gubern-Mérida, Albert; Sánchez, Clara I; Mann, Ritse; den Heeten, Ard; Karssemeijer, Nico

    2017-01-01

    Recent advances in machine learning yielded new techniques to train deep neural networks, which resulted in highly successful applications in many pattern recognition tasks such as object detection and speech recognition. In this paper we provide a head-to-head comparison between a state-of-the art in mammography CAD system, relying on a manually designed feature set and a Convolutional Neural Network (CNN), aiming for a system that can ultimately read mammograms independently. Both systems are trained on a large data set of around 45,000 images and results show the CNN outperforms the traditional CAD system at low sensitivity and performs comparable at high sensitivity. We subsequently investigate to what extent features such as location and patient information and commonly used manual features can still complement the network and see improvements at high specificity over the CNN especially with location and context features, which contain information not available to the CNN. Additionally, a reader study was performed, where the network was compared to certified screening radiologists on a patch level and we found no significant difference between the network and the readers.

  2. Computer-aided detection of bladder mass within non-contrast-enhanced region of CT Urography (CTU)

    NASA Astrophysics Data System (ADS)

    Cha, Kenny H.; Hadjiiski, Lubomir M.; Chan, Heang-Ping; Caoili, Elaine M.; Cohan, Richard H.; Weizer, Alon; Zhou, Chuan

    2016-03-01

    We are developing a computer-aided detection system for bladder cancer in CT urography (CTU). We have previously developed methods for detection of bladder masses within the contrast-enhanced region of the bladder. In this study, we investigated methods for detection of bladder masses within the non-contrast enhanced region. The bladder was first segmented using a newly developed deep-learning convolutional neural network in combination with level sets. The non-contrast-enhanced region was separated from the contrast-enhanced region with a maximum-intensityprojection- based method. The non-contrast region was smoothed and a gray level threshold was employed to segment the bladder wall and potential masses. The bladder wall was transformed into a straightened thickness profile, which was analyzed to identify lesion candidates as a prescreening step. The lesion candidates were segmented using our autoinitialized cascaded level set (AI-CALS) segmentation method, and 27 morphological features were extracted for each candidate. Stepwise feature selection with simplex optimization and leave-one-case-out resampling were used for training and validation of a false positive (FP) classifier. In each leave-one-case-out cycle, features were selected from the training cases and a linear discriminant analysis (LDA) classifier was designed to merge the selected features into a single score for classification of the left-out test case. A data set of 33 cases with 42 biopsy-proven lesions in the noncontrast enhanced region was collected. During prescreening, the system obtained 83.3% sensitivity at an average of 2.4 FPs/case. After feature extraction and FP reduction by LDA, the system achieved 81.0% sensitivity at 2.0 FPs/case, and 73.8% sensitivity at 1.5 FPs/case.

  3. Factors Influencing Early Detection of Oral Cancer by Primary Health-Care Professionals.

    PubMed

    Hassona, Y; Scully, C; Shahin, A; Maayta, W; Sawair, F

    2016-06-01

    The purposes of this study are to determine early detection practices performed by primary healthcare professionals, to compare medical and dental sub-groups, and to identify factors that influence the ability of medical and dental practitioners to recognize precancerous changes and clinical signs of oral cancer. A 28-item survey instrument was used to interview a total of 330 Jordanian primary health-care professionals (165 dental and 165 medical). An oral cancer knowledge scale (0 to 31) was generated from correct responses on oral cancer general knowledge. An early detection practice scale (0 to 24) was generated from the reported usage and frequency of procedures in oral cancer examination. Also, a diagnostic ability scale (0 to 100) was generated from correct selections of suspicious oral lesions. Only 17.8 % of the participants reported that they routinely performed oral cancer screening in practices. Their oral cancer knowledge scores ranged from 3 to 31 with a mean of 15.6. The early detection practice scores ranged from 2 to 21 with a mean of 11.6. A significant positive correlation was found between knowledge scores and early detection practice scores (r = 0.22; p < 0.001). The diagnostic ability scores ranged from 11.5 to 96 with a mean of 43.6. The diagnostic ability score was significantly correlated with knowledge scores (r = 0.39; p < 0.001), but not with early detection practice scores (r = 0.01; p = 0.92). Few significant differences were found between medical and dental primary care professionals. Continuous education courses on early diagnosis of oral cancer and oral mucosal lesions are needed for primary health-care professionals.

  4. Current and Future Trends in Early Detection of Pancreatic Cancer: Molecular Targets and PET Probes.

    PubMed

    Alauddin, Mian M; De Palatis, Louis

    2015-01-01

    Early detection of pancreatic cancer has been a long-standing challenge in determining prognosis and management of the deadly disease. Although the incidence of pancreatic cancer is low (2% of all malignancies), it is the fourth leading cause of deaths attributable to cancer in the U.S. A major cause for the high mortality rate, which exceeds 85%, is the difficulty in diagnosing the disease early in its development. The relative lack of reliable diagnostic tools to screen patients who are asymptomatic prior to the aggressive progression of disease has been the primary contributing factor in the high mortality rate in this patient population. Indeed, 80-90% of patients with pancreatic cancer have relatively small unresectable tumors at the time of diagnosis. Therefore, there is an unmet need for a highly sensitive diagnostic imaging modality to detect early-stage pancreatic cancer, as this may save the lives of many thousands of patients. Many literature reviews have been published on various aspects of pancreatic cancer, including biology, screening, and therapy; however, limited information is available on early detection, especially the use of highly sensitive modalities such as positron emission tomography (PET). Current [(18)F]FDG/PET imaging combined with CT (PET/CT) lacks the necessary sensitivity and specificity for detection of small lesions (~2-3 mm) of pancreatic cancer that may be resectable and curable. Furthermore, accumulation of [(18)F]FDG in inflammatory tissue is a major problem; therefore, an appropriate PET tracer that is both highly sensitive and specific for carcinoma is necessary for PET imaging of early stage pancreatic cancer. This review focuses on early detection of pancreatic cancer by PET, including new targets and the development and application of new PET tracers.

  5. All-optical photoacoustic imaging and detection of early-stage dental caries

    NASA Astrophysics Data System (ADS)

    Sampathkumar, Ashwin; Hughes, David A.; Longbottom, Chris; Kirk, Katherine J.

    2015-02-01

    Dental caries remain one of the most common oral diseases in the world. Current detection methods, such as dental explorer and X-ray radiography, suffer from poor sensitivity and specificity at the earliest (and reversible) stages of the disease because of the small size (< 100 microns) of early-stage lesions. We have developed a fine-resolution (480 nm), ultra-broadband (1 GHz), all-optical photoacoustic imaging (AOPAI) system to image and detect early stages of tooth decay. This AOPAI system provides a non-contact, non-invasive and non-ionizing means of detecting early-stage dental caries. Ex-vivo teeth exhibiting early-stage, white-spot lesions were imaged using AOPAI. Experimental scans targeted each early-stage lesion and a reference healthy enamel region. Photoacoustic (PA) signals were generated in the tooth using a 532-nm pulsed laser and the light-induced broadband ultrasound signal was detected at the surface of the tooth with an optical path-stabilized Michelson interferometer operating at 532 nm. The measured time-domain signal was spatially resolved and back-projected to form 2D and 3D maps of the lesion using k-wave reconstruction methods. Experimental data collected from areas of healthy and diseased enamel indicate that the lesion generated a larger PA response compared to healthy enamel. The PA-signal amplitude alone was able to detect a lesion on the surface of the tooth. However, time- reversal reconstructions of the PA scans also quantitatively depicted the depth of the lesion. 3D PA reconstruction of the diseased tooth indicated a sub-surface lesion at a depth of 0.6 mm, in addition to the surface lesion. These results suggest that our AOPAI system is well suited for rapid clinical assessment of early-stage dental caries. An overview of the AOPAI system, fine-resolution PA and histology results of diseased and healthy teeth will be presented.

  6. Early Detection of Dengue Infections using Cluster Sampling Around Index Cases

    DTIC Science & Technology

    2005-01-01

    EARLY DETECTION OF DENGUE INFECTIONS USING CLUSTER SAMPLING AROUND INDEX CASES CHARMAGNE G. BECKETT, HERMAN KOSASIH, INDRA FAISAL, NURHAYATI, RATNA...Abstract. A two-year study using a cluster investigation method was conducted in West Jakarta, Indonesia to demonstrate the detection of dengue cases prior...to onset of clinical illness. The clusters consisted of family members and neighbors of 53 hospitalized dengue index cases. Among 785 adult and child

  7. Analytical notes - Electrochemical method for early detection and monitoring of coliforms

    NASA Technical Reports Server (NTRS)

    Wilkins, J. R.; Boykin, E. H.

    1976-01-01

    An electrochemical method for detecting bacteria, based on a linear relationship between inoculum size and the time of hydrogen evolution, was tested for the early detection and monitoring of coliforms in naturally contaminated estuarine and fresh water samples. Standard methods for coliform analysis were performed on each sample, and membrane filtration counts were used to construct dose-response curves; relationships and results are discussed herein.

  8. Targeting Cell Surface Proteins in Molecular Photoacoustic Imaging to Detect Ovarian Cancer Early

    DTIC Science & Technology

    2013-07-01

    ABSTRACTS, AND PRESENTATIONS: Lay Press: CDMRP Ovarian Cancer Research Program 2013, Early Detection and Diagnosis , highlighted project. Peer-Reviewed...et al., Detection of elevated plasma levels of epidermal growth factor receptor before breast cancer diagnosis among hormone therapy users. Cancer Res...peritoneal serous carcinoma from breast carcinoma in effusions. Journal of cellular and molecular medicine 15, 535 (Mar, 2011). 17. L. E. Kelemen, The

  9. TOWARD EARLY-WARNING DETECTION OF GRAVITATIONAL WAVES FROM COMPACT BINARY COALESCENCE

    SciTech Connect

    Cannon, Kipp; Cariou, Romain; Chapman, Adrian; Fotopoulos, Nickolas; Privitera, Stephen; Searle, Antony; Singer, Leo; Weinstein, Alan; Crispin-Ortuzar, Mireia; Frei, Melissa; Hanna, Chad; Kara, Erin; Keppel, Drew; Liao, Laura

    2012-04-01

    Rapid detection of compact binary coalescence (CBC) with a network of advanced gravitational-wave detectors will offer a unique opportunity for multi-messenger astronomy. Prompt detection alerts for the astronomical community might make it possible to observe the onset of electromagnetic emission from CBC. We demonstrate a computationally practical filtering strategy that could produce early-warning triggers before gravitational radiation from the final merger has arrived at the detectors.

  10. Early Detection

    ERIC Educational Resources Information Center

    Stuart, Reginald

    2010-01-01

    According to the College Board's review of data from the Organization of Economic Co-Operation and Development, the U.S. ranks 12th out of 36 nations in terms of postsecondary attainment among citizens 25 to 34 years old. Completion is the mantra since President Barack Obama challenged higher education by setting an ambitious goal for 60 percent…

  11. Digital breast tomosynthesis: computer-aided detection of clustered microcalcifications on planar projection images

    NASA Astrophysics Data System (ADS)

    Samala, Ravi K.; Chan, Heang-Ping; Lu, Yao; Hadjiiski, Lubomir M.; Wei, Jun; Helvie, Mark A.

    2014-12-01

    This paper describes a new approach to detect microcalcification clusters (MCs) in digital breast tomosynthesis (DBT) via its planar projection (PPJ) image. With IRB approval, two-view (cranio-caudal and mediolateral oblique views) DBTs of human subject breasts were obtained with a GE GEN2 prototype DBT system that acquires 21 projection angles spanning 60° in 3° increments. A data set of 307 volumes (154 human subjects) was divided by case into independent training (127 with MCs) and test sets (104 with MCs and 76 free of MCs). A simultaneous algebraic reconstruction technique with multiscale bilateral filtering (MSBF) regularization was used to enhance microcalcifications and suppress noise. During the MSBF regularized reconstruction, the DBT volume was separated into high frequency (HF) and low frequency components representing microcalcifications and larger structures. At the final iteration, maximum intensity projection was applied to the regularized HF volume to generate a PPJ image that contained MCs with increased contrast-to-noise ratio (CNR) and reduced search space. High CNR objects in the PPJ image were extracted and labeled as microcalcification candidates. Convolution neural network trained to recognize the image pattern of microcalcifications was used to classify the candidates into true calcifications and tissue structures and artifacts. The remaining microcalcification candidates were grouped into MCs by dynamic conditional clustering based on adaptive CNR threshold and radial distance criteria. False positive (FP) clusters were further reduced using the number of candidates in a cluster, CNR and size of microcalcification candidates. At 85% sensitivity an FP rate of 0.71 and 0.54 was achieved for view- and case-based sensitivity, respectively, compared to 2.16 and 0.85 achieved in DBT. The improvement was significant (p-value = 0.003) by JAFROC analysis.

  12. Early detection of population declines: high power of genetic monitoring using effective population size estimators

    PubMed Central

    Antao, Tiago; Pérez-Figueroa, Andrés; Luikart, Gordon

    2011-01-01

    Early detection of population declines is essential to prevent extinctions and to ensure sustainable harvest. We evaluated the performance of two Ne estimators to detect population declines: the two-sample temporal method and a one-sample method based on linkage disequilibrium (LD). We used simulated data representing a wide range of population sizes, sample sizes and number of loci. Both methods usually detect a population decline only one generation after it occurs if Ne drops to less than approximately 100, and 40 microsatellite loci and 50 individuals are sampled. However, the LD method often out performed the temporal method by allowing earlier detection of less severe population declines (Ne approximately 200). Power for early detection increased more rapidly with the number of individuals sampled than with the number of loci genotyped, primarily for the LD method. The number of samples available is therefore an important criterion when choosing between the LD and temporal methods. We provide guidelines regarding design of studies targeted at monitoring for population declines. We also report that 40 single nucleotide polymorphism (SNP) markers give slightly lower precision than 10 microsatellite markers. Our results suggest that conservation management and monitoring strategies can reliably use genetic based methods for early detection of population declines. PMID:25567959

  13. Early non-destructive biofouling detection and spatial distribution: Application of oxygen sensing optodes.

    PubMed

    Farhat, N M; Staal, M; Siddiqui, A; Borisov, S M; Bucs, Sz S; Vrouwenvelder, J S

    2015-10-15

    Biofouling is a serious problem in reverse osmosis/nanofiltration (RO/NF) applications, reducing membrane performance. Early detection of biofouling plays an essential role in an adequate anti-biofouling strategy. Presently, fouling of membrane filtration systems is mainly determined by measuring changes in pressure drop, which is not exclusively linked to biofouling. Non-destructive imaging of oxygen concentrations (i) is specific for biological activity of biofilms and (ii) may enable earlier detection of biofilm accumulation than pressure drop. The objective of this study was to test whether transparent luminescent planar O2 optodes, in combination with a simple imaging system, can be used for early non-destructive biofouling detection. This biofouling detection is done by mapping the two-dimensional distribution of O2 concentrations and O2 decrease rates inside a membrane fouling simulator (MFS). Results show that at an early stage, biofouling development was detected by the oxygen sensing optodes while no significant increase in pressure drop was yet observed. Additionally, optodes could detect spatial heterogeneities in biofouling distribution at a micro scale. Biofilm development started mainly at the feed spacer crossings. The spatial and quantitative information on biological activity will lead to better understanding of the biofouling processes, contributing to the development of more effective biofouling control strategies.

  14. Environmental DNA as a new method for early detection of New Zealand mudsnails (Potamopyrgus antipodarum)

    USGS Publications Warehouse

    Goldberg, Caren S.; Sepulveda, Adam; Ray, Andrew; Baumgardt, Jeremy; Waits, Lisette P.

    2013-01-01

    Early detection of aquatic invasive species is a critical task for management of aquatic ecosystems. This task is hindered by the difficulty and cost of surveying aquatic systems thoroughly. The New Zealand mudsnail (Potamopyrgus antipodarum) is a small, invasive parthenogenic mollusk that can reach very high population densities and severely affects ecosystem functioning. To assist in the early detection of this invasive species, we developed and validated a highly sensitive environmental deoxyribonucleic acid (eDNA) assay. We used a dose–response laboratory experiment to investigate the relationship between New Zealand mudsnail density and eDNA detected through time. We documented that as few as 1 individual in 1.5 L of water for 2 d could be detected with this method, and that eDNA from this species may remain detectable for 21 to 44 d after mudsnail removal. We used the eDNA method to confirm the presence of New Zealand mudsnail eDNA at densities as low as 11 to 144 snails/m2 in a eutrophic 5th-order river. Combined, these results demonstrate the high potential for eDNA surveys to assist with early detection of a widely distributed invasive aquatic invertebrate.

  15. Early fault detection in automotive ball bearings using the minimum variance cepstrum

    NASA Astrophysics Data System (ADS)

    Park, Choon-Su; Choi, Young-Chul; Kim, Yang-Hann

    2013-07-01

    Ball bearings in automotive wheels play an important role in a vehicle. They enable an automobile to run and simultaneously support the vehicle. Once faults are generated, even if they are small, they often grow fast even under normal driving condition and cause vibration and noise. Therefore, it is critical to detect faults as early as possible to prevent bearings from generating harsh noise and vibration. How early faults can be detected is associated with how well a detecting method finds the information of early faults from measured signal. Incipient faults are so small that the fault signal is inherently buried by noise. Minimum variance cepstrum (MVC) has been introduced for the observation of periodic impulse signal under noisy environments. We are particularly focusing on the definition of MVC that goes back to the original definition by Bogert et al. in comparison with the recently prevalent definition of cepstral analysis. In this work, the MVC is, therefore, obtained by liftering a logarithmic power spectrum, and the lifter bank is designed by the minimum variance algorithm. Furthermore, it is also shown how efficient the method is for detecting periodic fault signal made by early faults by using automotive ball bearings, with which an automobile is equipped under running conditions. We were able to detect incipient faults in 4 out of 12 normal bearings which passed acceptance test as well as in bearings that were recalled due to noise and vibration. In addition, we compared the results of the proposed method with results obtained using other older well-established early fault detection methods that were chosen from 4 groups of methods which were classified by the domain of observation. The results demonstrated that MVC determined bearing fault periods more clearly than other methods under the given condition.

  16. Hearing Aids

    MedlinePlus

    ... Health Info » Hearing, Ear Infections, and Deafness Hearing Aids On this page: What is a hearing aid? ... the ear through a speaker. How can hearing aids help? Hearing aids are primarily useful in improving ...

  17. Early Detection of Infection in Pigs through an Online Monitoring System.

    PubMed

    Martínez-Avilés, M; Fernández-Carrión, E; López García-Baones, J M; Sánchez-Vizcaíno, J M

    2017-04-01

    Late detection of emergency diseases causes significant economic losses for pig producers and governments. As the first signs of animal infection are usually fever and reduced motion that lead to reduced consumption of water and feed, we developed a novel smart system to monitor body temperature and motion in real time, facilitating the early detection of infectious diseases. In this study, carried out within the framework of the European Union research project Rapidia Field, we tested the smart system on 10 pigs experimentally infected with two doses of an attenuated strain of African swine fever. Biosensors and an accelerometer embedded in an eartag captured data before and after infection, and video cameras were used to monitor the animals 24 h per day. The results showed that in 8 of 9 cases, the monitoring system detected infection onset as an increase in body temperature and decrease in movement before or simultaneously with fever detection based on rectal temperature measurement, observation of clinical signs, the decrease in water consumption or positive qPCR detection of virus. In addition, this decrease in movement was reliably detected using automatic analysis of video images therefore providing an inexpensive alternative to direct motion measurement. The system can be set up to alert staff when high fever, reduced motion or both are detected in one or more animals. This system may be useful for monitoring sentinel herds in real time, considerably reducing the financial and logistical costs of periodic sampling and increasing the chances of early detection of infection.

  18. Loss of dystrophin staining in cardiomyocytes: a novel method for detection early myocardial infarction

    PubMed Central

    Hashmi, Satwat; Al-Salam, Suhail

    2013-01-01

    Myocardial infarction (MI) is the most frequent diagnosis made in majority of sudden death cases subjected to clinical and medicolegal autopsies. When sudden death occurs at a very early stage of MI, traditional macroscopic examination, or histological stains cannot easily detect the myocardial changes. For this reason we propose a new method for detecting MI at an early stage. Murine model of MI was used to induce MI through permanent ligation of left anterior descending branch of left coronary artery. Five groups of C57B6/J mice were used for inducing MI, which includes 20 minutes, 30 minutes, one hour, four hours and 24 hours post MI groups. One naïve group and sham-operated groups were used as controls. There is loss of dystrophin membranous staining in cardiac myocytes occurs as early as 20 minutes post myocardial infarction. This can be used as a novel method to diagnose early myocardial infarction in post mortem cases where diagnosis is unclear. In conclusion, evaluation of immunohistochemical expression of dystrophin represents a highly sensitive method for detecting early myocardial infarction due to the loss of staining in the infarcted areas. Dystrophin immunostaining can also be used to assess myocardial architecture. PMID:23330010

  19. Role of EEG as Biomarker in the Early Detection and Classification of Dementia

    PubMed Central

    Al-Qazzaz, Noor Kamal; Ali, Sawal Hamid Bin MD.; Ahmad, Siti Anom; Chellappan, Kalaivani; Islam, Md. Shabiul; Escudero, Javier

    2014-01-01

    The early detection and classification of dementia are important clinical support tasks for medical practitioners in customizing patient treatment programs to better manage the development and progression of these diseases. Efforts are being made to diagnose these neurodegenerative disorders in the early stages. Indeed, early diagnosis helps patients to obtain the maximum treatment benefit before significant mental decline occurs. The use of electroencephalogram as a tool for the detection of changes in brain activities and clinical diagnosis is becoming increasingly popular for its capabilities in quantifying changes in brain degeneration in dementia. This paper reviews the role of electroencephalogram as a biomarker based on signal processing to detect dementia in early stages and classify its severity. The review starts with a discussion of dementia types and cognitive spectrum followed by the presentation of the effective preprocessing denoising to eliminate possible artifacts. It continues with a description of feature extraction by using linear and nonlinear techniques, and it ends with a brief explanation of vast variety of separation techniques to classify EEG signals. This paper also provides an idea from the most popular studies that may help in diagnosing dementia in early stages and classifying through electroencephalogram signal processing and analysis. PMID:25093211

  20. Deformation-aided segregation of Fe-S liquid from olivine under deep Earth conditions: Implications for core formation in the early solar system

    NASA Astrophysics Data System (ADS)

    Berg, Madeleine T. L.; Bromiley, Geoffrey D.; Butler, Ian B.; Frost, Mungo; Bradley, Robert; Carr, James; Le Godec, Yann; Montési, Laurent G. J.; Zhu, Wenlu; Miller, Kevin; Perrillat, Jean-Philippe; Mariani, Elisabetta; Tatham, Daniel; Redfern, Simon A. T.

    2017-02-01

    The planets and larger rocky bodies of the inner solar system are differentiated, and consist of metallic, iron-rich cores surrounded by thick shells of silicate. Core formation in these bodies, i.e. the segregation of metal from silicate, was a key process in the early solar system, and one which left a lasting geochemical signature. It is commonly assumed that extensive silicate melting and formation of deep magma oceans was required to initiate core formation, due to the inability of iron-rich melts to segregate from a solid silicate matrix. Here we assess the role of deformation in aiding segregation of core-forming melts from solid silicate under conditions of planetary deep interiors. Low-strain rate, high-pressure/temperature deformation experiments and high-resolution 2-D and 3-D textural analysis demonstrate that deformation fundamentally alters iron-rich melt geometry, promoting wetting of silicate grain boundaries and formation of extensive micron to sub-micron width Fe-rich melt bands. Deformation-aided Fe-S melt networks noted here contrast those observed in higher finite strain experiments conducted at lower pressure, and may reveal either an alternative mechanism for melt segregation at higher pressures, or an early stage process of melt segregation. Results suggest, however, that core-mantle chemical equilibration cannot be assumed in models of planetary formation, and that instead, the chemistry of rocky planets may record a complex, multi-stage process of core formation.

  1. The making of a risk object: AIDS, gay citizenship and the meaning of blood donation in Sweden in the early 1980s.

    PubMed

    Berner, Boel

    2011-03-01

    In the early 1980s acquired immune deficiency syndrome (AIDS) presented a danger to the blood supply, the extent of which was difficult to ascertain before a reliable test became available in 1985. In a situation of uncertainty, the major Swedish gay organisation in early 1983 recommended voluntary exclusion from blood donation by their members, while internationally gay organisations protested and Swedish medical authorities hesitated about the appropriate action to take. At stake were definitions of gay citizenship, risk and the gift of blood. The article uses three sociological approaches to understand the controversies around blood from men-who-have-sex-with-men as a risk to public health. An institutional approach is used to situate the symbolic meaning of blood donation within the specific Swedish blood collection regime, and thus the possible stigma of exclusion from donation practices. The article then details the evolution of different risk objects, based on different actors' situated knowledge of the danger, and discusses the different framing conditions influencing decision-making by the various actors involved. The analysis uses extensive archival and secondary material to trace decisions taken in the gay movement, medical authorities and blood centres, and to assess their outcome on the spread of AIDS via the blood supply.

  2. Magnetic viscosity of tropical soils: classification and prediction as an aid for landmine detection

    NASA Astrophysics Data System (ADS)

    Igel, J.; Preetz, H.; Altfelder, S.

    2012-08-01

    assessing the impact of the subsurface on EMI sensors for landmine detection. In general, intermediate, felsic and sedimentary rocks have no influence on the detectors and only a weak influence in the most extreme cases. Soils derived from these rocks typically have no influence; however, they can have a very severe influence in a few cases. In contrast, ultramafic and mafic rocks typically have a moderate influence and a very severe influence in extreme cases, with the associated soils resulting in a severe influence in general. The deduced prognosis system can be used by demining organizations to help them predict metal detector performance in tropical regions on the basis of geologic and/or soil maps, which do not supply information on electromagnetic properties. In this way, such a system may eventually help with the planning of demining campaigns and selection of appropriate sensors.

  3. Development of Highly Sensitive Bulk Acoustic Wave Device Biosensor Arrays for Screening and Early Detection of Prostate Cancer

    DTIC Science & Technology

    2009-01-01

    Acoustic Wave Device Biosensor Arrays for Screening and Early Detection of Prostate Cancer PRINCIPAL INVESTIGATOR: Anthony J. Dickherber, Ph.D...Arrays for Screening and Early Detection of Prostate Cancer 5b. GRANT NUMBER W81XWH-07-1-0099 5c. PROGRAM ELEMENT NUMBER 6. AUTHOR(S) 5d...of developing a cost-effective, highly sensitive and highly selective sensor array for the detection of early cancer proliferation. First I report

  4. Determination of Catechol Estrogen Adducts by High-Performance Liquid Chromatography: Establishing Biomarkers for the Early Detection of Breast Cancer

    DTIC Science & Technology

    1999-07-01

    Catechol Estrogen Adducts by High- Performance Liquid Chromatography: Establishing Biomarkers for the Early Detection of Breast Cancer PRINCIPAL...DAMD17-98-1-8216 Chromatography: Establishing Biomarkers for the Early Detection of Breast Cancer 6. AUTHOR(S) Douglas E. Stack, Ph.D. 7. PERFORMING...ultimate goal of this research is the development of a biomarker for the early detection of breast cancer. 14. SUBJECT TERMS 15. NUMBER OF PAGES Breast

  5. Cross-Cultural Evaluation of the Autism Detection in Early Childhood (ADEC) in Mexico

    ERIC Educational Resources Information Center

    Hedley, Darren; Young, Robyn; Angelica, Maria; Gallegos, Juarez; Salazar, Carlos, Marcin

    2010-01-01

    A Spanish translation of the Autism Detection in Early Childhood (ADEC-SP) was administered to 115 children aged 15-73 months in Mexico. In Phase 1, children with Autistic Disorder (AD), a non-Pervasive Developmental Disorder (PDD) diagnosis or typical development were assessed with the ADEC-SP by a clinician blind to the child's diagnostic…

  6. 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...

  7. Challenges of Early Detection of Oral Cancer: Raising Awareness as a First Step to Successful Campaigning

    ERIC Educational Resources Information Center

    Baumann, Eva; Koller, Michael; Wiltfang, Jörg; Wenz, Hans-Jürgen; Möller, Björn; Hertrampf, Katrin

    2016-01-01

    In Germany, ~13 000 people are found to have oral and pharyngeal cancer every year. Awareness and knowledge about this cancer remain insufficient, particularly amongst elderly people. A campaign for early detection was launched in Northern Germany in April 2012. The first step of the campaign was to increase awareness about oral cancer. Prior to a…

  8. Early Detection Monitoring Approaches for Non-indigenous Species in Vulnerable Great Lakes Coastal Ecosystems

    EPA Science Inventory

    Great Lakes harbors/embayments are vulnerable to introductions of non-indigenous species (NIS). Early detection of new NIS is desirable to allow for a timely management response, raising the question of how to accomplish this in a consistent, cost-effective manner. To that end, ...

  9. In-situ plant hyperspectral sensing for early detection of soybean injury from dicamba

    Technology Transfer Automated Retrieval System (TEKTRAN)

    Dicamba (3, 6-dichloro-2-methoxybenzoic acid) drift onto non-target crops is a major concern because dicamba is highly active on susceptible crops even at low doses. Early detection of crop injury is critical in crop management. A field study was conducted to determine spectral characteristics of s...

  10. Early detection of prostate cancer. Role of prostate-specific antigen.

    PubMed Central

    Prabhakaran, V. M.

    1996-01-01

    Pressure to request prostate-specific antigen (PSA) tests for early detection of prostate cancer in middle-aged and older men is increasing. However, current scientific data suggest that such testing does more harm than good. Most professional groups do not advise routine screening for prostate cancer. This paper reviews the current status of PSA testing. PMID:8653039

  11. Changing Concepts of Primary Open-Angle Glaucoma and Early Detection

    PubMed Central

    Battista, Renaldo N.; Huston, Patricia; Davis, M. William L.

    1986-01-01

    The understanding of primary open-angle glaucoma has changed over the past 20 years and recommendations on early detection are being revised. In this paper the use of Shiotz tonometry is critically examined, and the problems encountered in instituting alternative screening techniques are reviewed. ImagesFigure 3c PMID:21267099

  12. [The level of evidence for the use of biomarkers in the early detection of prostate cancer].

    PubMed

    Lamy, Pierre-Jean; Gauchez, Anne-Sophie; Salomon, Laurent; Haugh, Margaret; Ceraline, Jocelyn; Fulla, Yvonne; Georges, Agnès; Larré, Stéphane; Loric, Sylvain; Luporsi, Elisabeth; Martin, Pierre-Marie; Mazerolles, Catherine; Molinié, Vincent; Mongiat-Artus, Pierre; Piffret, Jacques; Thuillier, François; Perrin, Paul; Rebillard, Xavier

    2016-01-01

    To systematically review the evidence for the use of PSA and other biomarkers in the early detection of prostate cancer, we searched PubMed for clinical trials and studies assessing PSA and other biomarkers in the early detection of prostate cancer, published between 2000 and May 2013 that included >200 subjects. The level of evidence (LOE) for clinical utility was evaluated using the tumor marker utility grading system. A total of 84 publications, corresponding to 70 trials and studies were selected for inclusion in this review. We attributed a level of evidence (LoE) of IA to PSA for early PCa detection, but we do not recommend its use in mass screening. Emerging biomarkers were assessed in prospective case-control and cohort studies: PCA3 (n=3); kallikreins (n=3); [-2]proPSA (n=5); fusion oncogenes (n=2). These studies used biopsy results for prostate cancer to determine specificity and sensitivity, but they did not assess the effect on PCa mortality. The LoE attributed was III-C. PSA can be used for early prostate cancer detection but mass screening is not recommended. Studies on other biomarkers suggest that they could be used, individually or in combination, to improve the selection of patients with elevated PSA levels for biopsy, but RCTs assessing their impact on prostate cancer management and mortality are needed. A better use of available tests is possible for men at risk in order to maximize the risk-benefit ratio.

  13. Development of a Cancer Prevention and Early Detection Program for Nurses Working with African Americans.

    ERIC Educational Resources Information Center

    Underwood, Sandra Millon

    1999-01-01

    Evaluation of a program for 250 nurses working with African Americans showed it enhanced their ability to provide cancer education, screening, and follow-up. It also heightened sensitivity to, and understanding of, issues and trends influencing prevention and early detection for this population. (SK)

  14. A Model for Early Detection and Primary Prevention of Emotional or Behavioral Disorders.

    ERIC Educational Resources Information Center

    Forness, Steven R.; Serna, Loretta A.; Nielsen, Elizabeth; Lambros, Katina; Hale, Mary Johnell; Kavale, Kenneth A.

    2000-01-01

    This paper describes an example of the use of early detection of emotional/behavioral disorders and a self-determination curriculum in the Head Start Program of Youth Development Incorporated in Albuquerque, New Mexico. The rationale for this approach is discussed and preliminary data on the program's effectiveness are presented. (Contains…

  15. Early detection of crop injury from glyphosate on soybean and cotton using plant leaf hyperspectral data

    Technology Transfer Automated Retrieval System (TEKTRAN)

    In this paper, we describe early detection of crop injury from glyphosate using traditionally used spectral indices and newly extracted features from leaf hyperspectral reflectance data in non-glyphosate-resistant (non-GR) soybean and non-GR cotton. Spectral bands used in the new features are select...

  16. Aquatic invasive species early detection in the Great Lakes: Lessons concerning strategy

    EPA Science Inventory

    Great Lakes coastal systems are vulnerable to introduction of a wide variety of non-indigenous species (NIS), and the desire to effectively respond to future invaders is prompting efforts towards establishing a broad early-detection network. Such a network requires statistically...

  17. Early detection of non-native fishes using next-generation DNA sequencing of fish larvae

    EPA Science Inventory

    Our objective was to evaluate the use of fish larvae for early detection of non-native fishes, comparing traditional and molecular taxonomy based on next-generation DNA sequencing to investigate potential efficiencies. Our approach was to intensively sample a Great Lakes non-nati...

  18. 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...

  19. PCR real time assays for the early detection of BKV-DNA in immunocompromised patients.

    PubMed

    Marinelli, Katia; Bagnarelli, Patrizia; Gaffi, Gianni; Trappolini, Silvia; Leoni, Pietro; Paggi, Alessandra Mataloni; Della Vittoria, Agnese; Scalise, Giorgio; Varaldo, Pietro Emanuele; Menzo, Stefano

    2007-07-01

    Testing for viral BKV-DNA in urine is a non-invasive early detection and monitoring tool in the diagnostic of BKV-related pathologies: quantitative analysis by Real-Time PCR can provide useful information in addition to cytologic analysis, although our study suggests that high BKV viruria is not necessarily associated with kidney or bladder damage.

  20. Rapid and early detection of salmonella serotypes with hyperspectral microscope and multivariate data analysis

    Technology Transfer Automated Retrieval System (TEKTRAN)

    This study was designed to evaluate hyperspectral microscope images for early and rapid detection of Salmonella serotypes: S. Enteritidis, S. Heidelberg, S. Infantis, S. Kentucky, and S. Typhimurium at incubation times of 6, 8, 10, 12, and 24 hours. Images were collected by an acousto-optical tunab...