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.

Early Lung Cancer Diagnosis by Biosensors

PubMed Central

Zhang, Yuqian; Yang, Dongliang; Weng, Lixing; Wang, Lianhui

2013-01-01

Lung cancer causes an extreme threat to human health, and the mortality rate due to lung cancer has not decreased during the last decade. Prognosis or early diagnosis could help reduce the mortality rate. If microRNA and tumor-associated antigens (TAAs), as well as the corresponding autoantibodies, can be detected prior to clinical diagnosis, such high sensitivity of biosensors makes the early diagnosis and prognosis of cancer realizable. This review provides an overview of tumor-associated biomarker identifying methods and the biosensor technology available today. Laboratorial researches utilizing biosensors for early lung cancer diagnosis will be highlighted. PMID:23892596

Does positron emission tomography/computed tomography aid the diagnosis of prosthetic valve infective endocarditis?

PubMed

Balmforth, Damian; Chacko, Jacob; Uppal, Rakesh

2016-10-01

A best evidence topic was constructed according to a structured protocol. The question addressed was whether (18)F-fluorodeoxyglucose positron emission tomography/computed tomography (PET/CT) aids the diagnosis of prosthetic valve endocarditis (PVE)? A total of 107 publications were found using the reported search, of which 6 represented the best evidence to answer the clinical question. The authors, journal, date and country of publication, patient group studied, study type, relevant outcomes and results of these papers are tabulated. The reported outcome of all studies was a final diagnosis of confirmed endocarditis on follow-up. All the six studies were non-randomized, single-centre, observational studies and thus represented level 3 evidence. The diagnostic capability of PET/CT for PVE was compared with that of the modified Duke Criteria and echocardiography, and reported in terms of sensitivity, specificity and positive and negative predictive values. All studies demonstrated an increased sensitivity for the diagnosis of PVE when PET/CT was combined with the modified Duke Criteria on admission. A higher SUVmax on PET was found to be significantly associated with a confirmed diagnosis of endocarditis and an additional diagnostic benefit of PET/CT angiography over conventional PET/non-enhanced CT is reported due to improved anatomical resolution. However, PET/CT was found to be unreliable in the early postoperative period due to its inability to distinguish between infection and residual postoperative inflammatory changes. PET/CT was also found to be poor at diagnosing cases of native valve endocarditis. We conclude that PET/CT aids in the diagnosis of PVE when combined with the modified Duke Criteria on admission by increasing the diagnostic sensitivity. The diagnostic ability of PET/CT can be potentiated by the use of PET/CTA; however, its use may be unreliable in the early postoperative period or in native valve endocarditis. © The Author 2016. Published by

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.

Deep Learning Role in Early Diagnosis of Prostate Cancer

PubMed Central

Reda, Islam; Khalil, Ashraf; Elmogy, Mohammed; Abou El-Fetouh, Ahmed; Shalaby, Ahmed; Abou El-Ghar, Mohamed; Elmaghraby, Adel; Ghazal, Mohammed; El-Baz, Ayman

2018-01-01

The objective of this work is to develop a computer-aided diagnostic system for early diagnosis of prostate cancer. The presented system integrates both clinical biomarkers (prostate-specific antigen) and extracted features from diffusion-weighted magnetic resonance imaging collected at multiple b values. The presented system performs 3 major processing steps. First, prostate delineation using a hybrid approach that combines a level-set model with nonnegative matrix factorization. Second, estimation and normalization of diffusion parameters, which are the apparent diffusion coefficients of the delineated prostate volumes at different b values followed by refinement of those apparent diffusion coefficients using a generalized Gaussian Markov random field model. Then, construction of the cumulative distribution functions of the processed apparent diffusion coefficients at multiple b values. In parallel, a K-nearest neighbor classifier is employed to transform the prostate-specific antigen results into diagnostic probabilities. Finally, those prostate-specific antigen–based probabilities are integrated with the initial diagnostic probabilities obtained using stacked nonnegativity constraint sparse autoencoders that employ apparent diffusion coefficient–cumulative distribution functions for better diagnostic accuracy. Experiments conducted on 18 diffusion-weighted magnetic resonance imaging data sets achieved 94.4% diagnosis accuracy (sensitivity = 88.9% and specificity = 100%), which indicate the promising results of the presented computer-aided diagnostic system. PMID:29804518

Computer-aided dermoscopy for diagnosis of melanoma

PubMed Central

Barzegari, Masoomeh; Ghaninezhad, Haiedeh; Mansoori, Parisa; Taheri, Arash; Naraghi, Zahra S; Asgari, Masood

2005-01-01

Background Computer-aided dermoscopy using artificial neural networks has been reported to be an accurate tool for the evaluation of pigmented skin lesions. We set out to determine the sensitivity and specificity of a computer-aided dermoscopy system for diagnosis of melanoma in Iranian patients. Methods We studied 122 pigmented skin lesions which were referred for diagnostic evaluation or cosmetic reasons. Each lesion was examined by two clinicians with naked eyes and all of their clinical diagnostic considerations were recorded. The lesions were analyzed using a microDERM® dermoscopy unit. The output value of the software for each lesion was a score between 0 and 10. All of the lesions were excised and examined histologically. Results Histopathological examination revealed melanoma in six lesions. Considering only the most likely clinical diagnosis, sensitivity and specificity of clinical examination for diagnosis of melanoma were 83% and 96%, respectively. Considering all clinical diagnostic considerations, the sensitivity and specificity were 100% and 89%. Choosing a cut-off point of 7.88 for dermoscopy score, the sensitivity and specificity of the score for diagnosis of melanoma were 83% and 96%, respectively. Setting the cut-off point at 7.34, the sensitivity and specificity were 100% and 90%. Conclusion The diagnostic accuracy of the dermoscopy system was at the level of clinical examination by dermatologists with naked eyes. This system may represent a useful tool for screening of melanoma, particularly at centers not experienced in the field of pigmented skin lesions. PMID:16000171

Computer-Aided Medical Diagnosis. Literature Review

DTIC Science & Technology

1978-12-15

Croft found a 13% difference in diagnostic accuracy. He considered this difference insignificant in relation to the diagnostic differences caused ...type of diseases diagnosed probably are the major cause of cross-study variability in diagnostic accuracy. The consistency of diagnostic accuracy...REFERENCES ALPEROVITCH, A. and FRAGU, P., A suggestion for an effective use of a computer-aided diagnosis system in screening for hyperthyroidism , Method

Impact of accelerated progression to AIDS on public health monitoring of late HIV diagnosis.

PubMed

Sabharwal, Charulata J; Sepkowitz, Kent; Mehta, Reshma; Shepard, Colin; Bodach, Sara; Torian, Lucia; Begier, Elizabeth M

2011-03-01

Some patients develop AIDS within a year of HIV infection ("accelerated progression"). Classifying such cases as late HIV diagnosis may lead to inaccurate evaluation of HIV testing efforts. We sought to determine this group's contribution to overall late diagnosis rates. To identify cases of accelerated progression (development of AIDS within 12 months of a negative HIV test), we reviewed published HIV seroconverter cohort studies and used New York City's (NYC) HIV/AIDS surveillance registry. From the literature review, three seroconverter cohort studies revealed that 1.0-3.6% of participants had accelerated progression to AIDS. Applying this frequency estimate to the number of new infections in NYC (4762) for 2006 calculated by the Centers for Diseases Control and Prevention's incidence formula, we estimated that 3.6-13.0% of 1317 NYC HIV cases who are diagnosed with AIDS within 12 months of HIV diagnosis are accelerated progressors, not persons HIV infected for many years who did not test and present with AIDS (i.e., delayed diagnosis). In addition, our analysis of the 2006 NYC surveillance registry confirmed the occurrence of accelerated progression in a population-based setting; 67 accelerated progressors were reported and 9 (13%) could be confirmed through follow-up medical record review. With increased HIV testing initiatives, the irreducible proportion of AIDS cases with accelerated progression must be considered when interpreting late diagnosis data.

Early diagnosis of genital mucosal melanoma: how good are our dermoscopic criteria?

PubMed

Rogers, Tova; Pulitzer, Melissa; Marino, Maria L; Marghoob, Ashfaq A; Zivanovic, Oliver; Marchetti, Michael A

2016-10-01

There are limited studies on the dermoscopic features of mucosal melanoma, particularly early-stage lesions. Described criteria include the presence of blue, gray, or white colors, with a reported sensitivity of 100%. It is unclear if these features will aid in the detection of early mucosal melanoma or improve diagnostic accuracy compared to naked-eye examination alone. An Asian female in her fifties was referred for evaluation of an asymptomatic, irregularly pigmented patch of the clitoral hood and labia minora of unknown duration. Her past medical history was notable for Stage IV non-small cell lung cancer. She denied a personal or family history of skin cancer. Dermoscopic evaluation of the vulvar lesion revealed heterogeneous brown and black pigmentation mostly composed of thick lines. There were no other colors or structures present. As the differential diagnosis included vulvar melanosis and mucosal melanoma, the patient was recommended to undergo biopsy, which was delayed due to complications from her underlying lung cancer. Repeat dermoscopic imaging performed three months later revealed significant changes concerning for melanoma, including increase in size, asymmetric darkening, and the appearance of structureless areas and central blue and pink colors. Histopathological examination of a biopsy and subsequent resection confirmed the diagnosis of melanoma in situ. Previously described dermoscopic features for mucosal melanoma may not have high sensitivity for early melanomas. Additional studies are needed to define the dermoscopic characteristics of mucosal melanomas that aid in early detection. Health care providers should have a low threshold for biopsy of mucosal lesions that show any clinical or dermoscopic features of melanoma, especially in older women.

[A social diagnosis of HIV/AIDS infection and endogenous prevention strategies in Gaoua, Burkina Faso].

PubMed

Somé, Donmozoun Télesphore

2008-04-01

Despite sensitising and prevention messages, women still remain concerned about AIDS in developing countries. How do they perceive the illness and methods of prevention? The objective of this study was to assess the social diagnosis of HIV/AIDS, and endogenous strategies developed by women from Gaoua. A qualitative approach was adopted, involving four focus group discussions with women from the Lobi, Birifor, Dioula and Dagara ethnic groups. An interview guide was developed for the discussions, which were carried out in local languages, tape recorded, transcribed verbatim and analysed in detail. Specific descriptions of HIV/AIDS related to signs/symptoms were given. These were: _Kpéré tchi_ (lose weight and die) _gbè yirè_ (twig feet) _sii dan_ (end of life) _gbè milè_ (thin feet), respectively for Lobi, Birifor, Dioula and Dagara. The major signs of AIDS mentioned were weight loss, appetite for meat, good meals, curly hair, large spots on the body, high fever, diarrhoea, and redness of lips. In relation to these signs, some endogenous strategies were developed by women to protect themselves against the illness, including "observation" and hot spiced meals for a few days for a partner who was absent for a long time, as well as early marriage for young girls. The social diagnosis of HIV/AIDS by a specific group like women demonstrates the gap between perceptions of the illness and prevention messages. This could help to understand that it is important to take account of communities' perceptions of illness in elaboration of prevention messages.

[Late diagnosis and vulnerabilities of the elderly living with HIV/AIDS].

PubMed

Alencar, Rúbia Aguiar; Ciosak, Suely Itsuko

2015-04-01

To identify vulnerabilities of elderly people with HIV/AIDS and the trajectory that they follow until reaching the diagnosis of the disease. Qualitative research conducted in specialized clinics in the state of São Paulo, from January to June 2011. Semi-structured interviews were conducted with 11 elderly people who were found to be infected with the virus at the age of 60 years or older. The interviews were analyzed using content analysis. In this process four categories emerged, then analyzed with reference to the theoretical framework of vulnerability. Late diagnosis of HIV infection or AIDS among the elderly happens in the secondary or tertiary service. Issues related to sexual life of the elderly are only questioned by health professionals after the diagnosis, also the time that condom use becomes absolute. It is believed that the investigation of the vulnerability of the elderly to HIV/AIDS allows for carrying out appropriate interventions for this population.

A Computer-Aided Diagnosis System for Breast Cancer Combining Digital Mammography and Genomics

DTIC Science & Technology

2006-05-01

Huang, "Breast cancer diagnosis using self-organizing map for sonography." Ultrasound Med. Biol. 26, 405 (2000). 20 K. Horsch, M.L. Giger, L.A. Venta ...L.A. Venta , "Performance of computer-aided diagnosis in the interpretation of lesions on breast sonography." Acad Radiol 11, 272 (2004). 22 W. Chen...418. 27. Horsch K, Giger ML, Vyborny CJ, Venta LA. Performance of computer-aided diagnosis in the interpretation of lesions on breast sonography

[Early diagnosis of autism: Phenotype-endophenotype].

PubMed

Kotsopoulos, S

2015-01-01

Autism Spectrum Disorders have for some time been the focus of intense interest for clinicians and researchers because of the high prevalence of the disorders among children in the community (approximately 1%), their severity and pervasiveness. Particular attention has been paid to the early diagnosis of the disorder and to the intensive therapeutic intervention. Currently the best prognosis for autism lays in the early diagnosis and intervention. Postponing the diagnosis and the intervention beyond infancy is considered loss of precious time. The diagnosis of autism, which begins early in life, was until recently considered that could be reliability made at the age of 3 years. Recent follow up studies however on children at risk for autism (children who had an older sibling with autism) have shown that the clinical signs of autism emerge at the end of the first year and become distinct by the end of the second year when the diagnosis can reliably be made. From a clinical perspective it is noted that the early clinical signs of risk for autism are related to social communication (e.g. limited or absent response when calling his/her name and to joint attention), stereotype behaviours and body movements or unusual handling of objects (e.g. intensive observation of objects and stereotype movements of hands and tapping or spinning), incongruent regulation of emotions (reduced positive and increased negative emotion). There is also delay in developmental characteristics such as the language (both receptive and expressive) and motor (particularly in postural control - characteristic is the drop of the head backwards when the infant is held in horizontal position). Studies on various aspects of the endophenotype of certain clinical signs among infants at risk for Autism Spectrum Disorders, such as avoidance of eye contact, delay in verbal communication and increase of the head circumference, may provide useful information and may assist the clinician on follow up in the

Evaluation of computer-aided detection and diagnosis systems.

PubMed

Petrick, Nicholas; Sahiner, Berkman; Armato, Samuel G; Bert, Alberto; Correale, Loredana; Delsanto, Silvia; Freedman, Matthew T; Fryd, David; Gur, David; Hadjiiski, Lubomir; Huo, Zhimin; Jiang, Yulei; Morra, Lia; Paquerault, Sophie; Raykar, Vikas; Samuelson, Frank; Summers, Ronald M; Tourassi, Georgia; Yoshida, Hiroyuki; Zheng, Bin; Zhou, Chuan; Chan, Heang-Ping

2013-08-01

Computer-aided detection and diagnosis (CAD) systems are increasingly being used as an aid by clinicians for detection and interpretation of diseases. Computer-aided detection systems mark regions of an image that may reveal specific abnormalities and are used to alert clinicians to these regions during image interpretation. Computer-aided diagnosis systems provide an assessment of a disease using image-based information alone or in combination with other relevant diagnostic data and are used by clinicians as a decision support in developing their diagnoses. While CAD systems are commercially available, standardized approaches for evaluating and reporting their performance have not yet been fully formalized in the literature or in a standardization effort. This deficiency has led to difficulty in the comparison of CAD devices and in understanding how the reported performance might translate into clinical practice. To address these important issues, the American Association of Physicists in Medicine (AAPM) formed the Computer Aided Detection in Diagnostic Imaging Subcommittee (CADSC), in part, to develop recommendations on approaches for assessing CAD system performance. The purpose of this paper is to convey the opinions of the AAPM CADSC members and to stimulate the development of consensus approaches and "best practices" for evaluating CAD systems. Both the assessment of a standalone CAD system and the evaluation of the impact of CAD on end-users are discussed. It is hoped that awareness of these important evaluation elements and the CADSC recommendations will lead to further development of structured guidelines for CAD performance assessment. Proper assessment of CAD system performance is expected to increase the understanding of a CAD system's effectiveness and limitations, which is expected to stimulate further research and development efforts on CAD technologies, reduce problems due to improper use, and eventually improve the utility and efficacy of CAD in

Evaluation of computer-aided detection and diagnosis systemsa)

PubMed Central

Petrick, Nicholas; Sahiner, Berkman; Armato, Samuel G.; Bert, Alberto; Correale, Loredana; Delsanto, Silvia; Freedman, Matthew T.; Fryd, David; Gur, David; Hadjiiski, Lubomir; Huo, Zhimin; Jiang, Yulei; Morra, Lia; Paquerault, Sophie; Raykar, Vikas; Samuelson, Frank; Summers, Ronald M.; Tourassi, Georgia; Yoshida, Hiroyuki; Zheng, Bin; Zhou, Chuan; Chan, Heang-Ping

2013-01-01

Computer-aided detection and diagnosis (CAD) systems are increasingly being used as an aid by clinicians for detection and interpretation of diseases. Computer-aided detection systems mark regions of an image that may reveal specific abnormalities and are used to alert clinicians to these regions during image interpretation. Computer-aided diagnosis systems provide an assessment of a disease using image-based information alone or in combination with other relevant diagnostic data and are used by clinicians as a decision support in developing their diagnoses. While CAD systems are commercially available, standardized approaches for evaluating and reporting their performance have not yet been fully formalized in the literature or in a standardization effort. This deficiency has led to difficulty in the comparison of CAD devices and in understanding how the reported performance might translate into clinical practice. To address these important issues, the American Association of Physicists in Medicine (AAPM) formed the Computer Aided Detection in Diagnostic Imaging Subcommittee (CADSC), in part, to develop recommendations on approaches for assessing CAD system performance. The purpose of this paper is to convey the opinions of the AAPM CADSC members and to stimulate the development of consensus approaches and “best practices” for evaluating CAD systems. Both the assessment of a standalone CAD system and the evaluation of the impact of CAD on end-users are discussed. It is hoped that awareness of these important evaluation elements and the CADSC recommendations will lead to further development of structured guidelines for CAD performance assessment. Proper assessment of CAD system performance is expected to increase the understanding of a CAD system's effectiveness and limitations, which is expected to stimulate further research and development efforts on CAD technologies, reduce problems due to improper use, and eventually improve the utility and efficacy of CAD

[Construction and analysis of questionnaires on AIDS cough in traditional Chinese medicine diagnosis and treatment procedures].

PubMed

Zhang, Ying; Xue, Liu-Hua; Chen, Yu-Xia; Huang, Shi-Jing; Pan, Ju-Hua; Wang, Jie

2013-08-01

To norm the behavior of AIDS cough in traditional Chinese medicine diagnosis and treatment and improve the clinical level of cough treatment for HIV/AIDS, and build AIDS cough diagnosis and treatment procedures in traditional Chinese medicine. Combined with clinical practice,to formulate questionnaire on AIDS cough in traditional Chinese medicine diagnosis and treatment by both English and Chinese literature research to expertise consultation and verify the results of the questionnaires on the statistics using the Delphi method. Questionnaire contents consist of overview, pathogeny, diagnosis standard, dialectical medication (phlegm heat resistance pulmonary lung and kidney Yin deficiency lung spleen-deficiency), treating spleen-deficiency (lung), moxibustion treatment and aftercare care and diet and mental, average (2.93-3.00), full mark rate (93.10%-100%) ranks average (9.91-10.67) and (287.50-309.50) of which are the most high value, and the variation coefficient is 0.00, the Kendall coefficient (Kendalls W) is 0.049 which is statistical significance, the questionnaire reliability value of alpha was 0.788. Preliminary standarded concept, etiology and pathogenesis, diagnosis and syndrome differentiation treatment of AIDS cough, basically recognised by the experts in this field, and laid the foundation of traditional Chinese medicine diagnosis and treatment on develop the AIDS cough specifications.

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,…

Early, Accurate Diagnosis and Early Intervention in Cerebral Palsy: Advances in Diagnosis and Treatment.

PubMed

Novak, Iona; Morgan, Cathy; Adde, Lars; Blackman, James; Boyd, Roslyn N; Brunstrom-Hernandez, Janice; Cioni, Giovanni; Damiano, Diane; Darrah, Johanna; Eliasson, Ann-Christin; de Vries, Linda S; Einspieler, Christa; Fahey, Michael; Fehlings, Darcy; Ferriero, Donna M; Fetters, Linda; Fiori, Simona; Forssberg, Hans; Gordon, Andrew M; Greaves, Susan; Guzzetta, Andrea; Hadders-Algra, Mijna; Harbourne, Regina; Kakooza-Mwesige, Angelina; Karlsson, Petra; Krumlinde-Sundholm, Lena; Latal, Beatrice; Loughran-Fowlds, Alison; Maitre, Nathalie; McIntyre, Sarah; Noritz, Garey; Pennington, Lindsay; Romeo, Domenico M; Shepherd, Roberta; Spittle, Alicia J; Thornton, Marelle; Valentine, Jane; Walker, Karen; White, Robert; Badawi, Nadia

2017-09-01

Cerebral palsy describes the most common physical disability in childhood and occurs in 1 in 500 live births. Historically, the diagnosis has been made between age 12 and 24 months but now can be made before 6 months' corrected age. To systematically review best available evidence for early, accurate diagnosis of cerebral palsy and to summarize best available evidence about cerebral palsy-specific early intervention that should follow early diagnosis to optimize neuroplasticity and function. This study systematically searched the literature about early diagnosis of cerebral palsy in MEDLINE (1956-2016), EMBASE (1980-2016), CINAHL (1983-2016), and the Cochrane Library (1988-2016) and by hand searching. Search terms included cerebral palsy, diagnosis, detection, prediction, identification, predictive validity, accuracy, sensitivity, and specificity. The study included systematic reviews with or without meta-analyses, criteria of diagnostic accuracy, and evidence-based clinical guidelines. Findings are reported according to the PRISMA statement, and recommendations are reported according to the Appraisal of Guidelines, Research and Evaluation (AGREE) II instrument. Six systematic reviews and 2 evidence-based clinical guidelines met inclusion criteria. All included articles had high methodological Quality Assessment of Diagnostic Accuracy Studies (QUADAS) ratings. In infants, clinical signs and symptoms of cerebral palsy emerge and evolve before age 2 years; therefore, a combination of standardized tools should be used to predict risk in conjunction with clinical history. Before 5 months' corrected age, the most predictive tools for detecting risk are term-age magnetic resonance imaging (86%-89% sensitivity), the Prechtl Qualitative Assessment of General Movements (98% sensitivity), and the Hammersmith Infant Neurological Examination (90% sensitivity). After 5 months' corrected age, the most predictive tools for detecting risk are magnetic resonance imaging (86

Disclosure of Diagnosis in Early Recognition of Psychosis.

PubMed

Blessing, Andreas; Studer, Anna; Gross, Amelie; Gruss, L Forest; Schneider, Roland; Dammann, Gerhard

2017-10-01

There is a debate concerning risks and benefits of early intervention in psychosis, especially concerning diagnosis disclosure. The present study reports preliminary findings on self-reported locus of control and psychological distress after the disclosure of diagnosis in an early recognition center. We compared the ratings of the locus of control and psychological distress before and after communication of diagnosis. The study included individuals with an at-risk mental state (ARMS) (n = 10), schizophrenia (n = 9), and other psychiatric disorders (n = 11). Results indicate greater endorsement of the internal locus of control in individuals with ARMS after communication of diagnosis in contrast to the other groups. Our results suggest that disclosure of diagnosis in an early recognition center leads to a reduction of psychological distress and increased feelings of control over one's health. Persons with ARMS seem to particularly benefit from disclosure of diagnosis as part of early intervention.

[The new concept of osteoporosis. Early diagnosis, prevention and therapy are possible today].

PubMed

Hesch, R D; Harms, H; Rittinghaus, E F; Brabant, G

1990-04-15

A paradigma of osteoporosis pathology is discussed, at the center of which is the hormone-related disturbance of the osteoblast/osteoclast functional unit. A liberal replacement of estrogen-gestagen in post-menopausal women is advocated. Early diagnosis with the aid of quantitative computed tomography makes it possible to establish the indication for timely hormonal treatment in the future, which can result in a measureable increase in bone mass. Late therapy, that is, treatment initiated after the occurrence of fractures, has proven largely ineffective.

Improvement of a Clinical Score for Necrotizing Fasciitis: ‘Pain Out of Proportion’ and High CRP Levels Aid the Diagnosis

PubMed Central

Siegel, Ekkehard; Hanke, Eric; von Stebut, Esther

2015-01-01

Necrotizing fasciitis (NF) is a rare mono-/polymicrobial skin infection that spreads to underlying tissues. NF is quickly progressing and leads to life threatening situations. Immediate surgical debridement together with i.v. antibiotic administration is required to avoid fatal outcome. Early diagnosis is often delayed due to underestimation or confusion with cellulitis. We now compared the initial clinical and laboratory presentation of NF and cellulitis in detail to assess if a typical pattern can be identified that aids timely diagnosis of NF and avoidance of fatal outcome. 138 different clinical and laboratory features of 29 NF patients were compared to those of 59 age- and gender matched patients with severe erysipelas requiring a subsequent hospitalization time of ≥10 days. Differences in clinical presentation were not obvious; however, NF patients suffered significantly more often from strong pain. NF patients exhibited dramatically elevated CRP levels (5-fold, p>0.001). The overall laboratory risk indicator for necrotizing fasciitis (LRINEC) score was significantly higher in NF patients as compared to cellulitis. However, a modification of the score (alteration of laboratory parameters, addition of clinical parameters) led to a clear improvement of the score with a higher positive predictive value without losing specificity. In summary, clinical differentiation of NF from cellulitis appears to be hard. ‘Pain out of proportion’ may be an early sign for NF. An improvement of the LRINEC score emphasizing only relevant laboratory and clinical findings as suggested may aid the early diagnosis of NF in the future leading to improvement of disease outcome by enabling rapid adequate therapy. PMID:26196941

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

Hadjiiski, and N. Petrick, "Computerized nipple identification for multiple image analysis in computer-aided diagnosis," Medical Physics 31, 2871...candidates, 3 identification of suspicious objects, 4 feature extraction and analysis, and 5 FP reduc- tion by classification of normal tissue...detection of microcalcifi- cations on digitized mammograms.41 An illustration of a La- placian decomposition tree is shown on the left-hand side of Fig. 4

Biomarkers for the early diagnosis of hepatocellular carcinoma

PubMed Central

Tsuchiya, Nobuhiro; Sawada, Yu; Endo, Itaru; Saito, Keigo; Uemura, Yasushi; Nakatsura, Tetsuya

2015-01-01

Hepatocellular carcinoma (HCC) is the fifth most common cancer and the second leading cause of cancer-related deaths worldwide. Although the prognosis of patients with HCC is generally poor, the 5-year survival rate is > 70% if patients are diagnosed at an early stage. However, early diagnosis of HCC is complicated by the coexistence of inflammation and cirrhosis. Thus, novel biomarkers for the early diagnosis of HCC are required. Currently, the diagnosis of HCC without pathological correlation is achieved by analyzing serum α-fetoprotein levels combined with imaging techniques. Advances in genomics and proteomics platforms and biomarker assay techniques over the last decade have resulted in the identification of numerous novel biomarkers and have improved the diagnosis of HCC. The most promising biomarkers, such as glypican-3, osteopontin, Golgi protein-73 and nucleic acids including microRNAs, are most likely to become clinically validated in the near future. These biomarkers are not only useful for early diagnosis of HCC, but also provide insight into the mechanisms driving oncogenesis. In addition, such molecular insight creates the basis for the development of potentially more effective treatment strategies. In this article, we provide an overview of the biomarkers that are currently used for the early diagnosis of HCC. PMID:26457017

A survey on computer aided diagnosis for ocular diseases

PubMed Central

2014-01-01

Background Computer Aided Diagnosis (CAD), which can automate the detection process for ocular diseases, has attracted extensive attention from clinicians and researchers alike. It not only alleviates the burden on the clinicians by providing objective opinion with valuable insights, but also offers early detection and easy access for patients. Method We review ocular CAD methodologies for various data types. For each data type, we investigate the databases and the algorithms to detect different ocular diseases. Their advantages and shortcomings are analyzed and discussed. Result We have studied three types of data (i.e., clinical, genetic and imaging) that have been commonly used in existing methods for CAD. The recent developments in methods used in CAD of ocular diseases (such as Diabetic Retinopathy, Glaucoma, Age-related Macular Degeneration and Pathological Myopia) are investigated and summarized comprehensively. Conclusion While CAD for ocular diseases has shown considerable progress over the past years, the clinical importance of fully automatic CAD systems which are able to embed clinical knowledge and integrate heterogeneous data sources still show great potential for future breakthrough. PMID:25175552

Impact of early diagnosis on functional disability in rheumatoid arthritis

PubMed Central

Kim, Dam; Choi, Chan-Bum; Lee, Jiyoung; Cho, Soo-Kyung; Won, Soyoung; Bang, So-Young; Cha, Hoon-Suk; Choe, Jung-Yoon; Chung, Won Tae; Hong, Seung-Jae; Jun, Jae-Bum; Jung, Young Ok; Kim, Jinseok; Kim, Seong-Kyu; Kim, Tae-Hwan; Kim, Tae-Jong; Koh, Eunmi; Lee, Hye-Soon; Lee, Jaejoon; Lee, Jisoo; Lee, Sang-Heon; Lee, Shin-Seok; Lee, Sung Won; Shim, Seung-Cheol; Yoo, Dae-Hyun; Yoon, Bo Young; Sung, Yoon-Kyoung; Bae, Sang-Cheol

2017-01-01

Background/Aims To determine whether early diagnosis is beneficial for functional status of various disease durations in rheumatoid arthritis (RA) patients. Methods A total of 4,540 RA patients were enrolled as part of the Korean Observational Study Network for Arthritis (KORONA). We defined early diagnosis as a lag time between symptom onset and RA diagnosis of ≤ 12 months, whereas patients with a longer lag time comprised the delayed diagnosis group. Demographic characteristics and outcomes were compared between early and delayed diagnosis groups. Logistic regression analyses were performed to identify the impact of early diagnosis on the development of functional disability in RA patients. Results A total of 2,597 patients (57.2%) were included in the early diagnosis group. The average Health Assessment Questionnaire-Disability Index (HAQ-DI) score was higher in the delayed diagnosis group (0.64 ± 0.63 vs. 0.70 ± 0.66, p < 0.01), and the proportion of patients with no functional disability (HAQ = 0) was higher in the early diagnosis group (22.9% vs. 20.0%, p = 0.02). In multivariable analyses, early diagnosis was independently associated with no functional disability (odds ratio [OR], 1.19; 95% confidence interval [CI], 1.01 to 1.40). In a subgroup analysis according to disease duration, early diagnosis was associated with no functional disability in patients with disease duration < 5 years (OR, 1.37; 95% CI, 1.09 to 1.72) but not in patients with longer disease duration (for 5 to 10 years: OR, 1.07; 95% CI, 0.75 to 1.52; for ≥ 10 years: OR, 0.92; 95% CI, 0.65 to 1.28). Conclusions Early diagnosis is associated with no functional disability, especially in patients with shorter disease duration. PMID:27618867

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

131 cases with 131 biopsy proven masses, of which 27 were malignant and 104 benign. The true locations of the masses were identified by an experi- enced ...two acquisitions would cause differ- ences in the subtlety of the masses on the FFDMs and SFMs. However, assuming that the differences are ran- dom... Lado , M. Souto, and J. J. Vidal, “Computer-aided diagnosis: Automatic detection of malignant masses in digitized mammograms,” Med. Phys. 25, 957–964

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

the masses were identified by an experi- enced Mammography Quality Standards Act (MQSA) radiologist. The no-mass data set contained 98 cases. The time...force, and the difference in time between the two acquisitions would cause differ- ences in the subtlety of the masses on the FFDMs and SFMs. However...images," Medical Physics 18, 955-963 (1991). 20A. J. Mendez, P. G. Tahoces, M. J. Lado , M. Souto, and J. J. Vidal, "Computer-aided diagnosis: Automatic

Intelligent Computer-Aided Instruction for Medical Diagnosis

PubMed Central

Clancey, William J.; Shortliffe, Edward H.; Buchanan, Bruce G.

1979-01-01

An intelligent computer-aided instruction (ICAI) program, named GUIDON, has been developed for teaching infectious disease diagnosis.* ICAI programs use artificial intelligence techniques for representing both subject material and teaching strategies. This paper briefly outlines the difference between traditional instructional programs and ICAI. We then illustrate how GUIDON makes contributions in areas important to medical CAI: interacting with the student in a mixed-initiative dialogue (including the problems of feedback and realism), teaching problem-solving strategies, and assembling a computer-based curriculum.

Clinical implications in laboratory parameter values in acute Kawasaki disease for early diagnosis and proper treatment.

PubMed

Seo, Yu-Mi; Kang, Hyun-Mi; Lee, Sung-Churl; Yu, Jae-Won; Kil, Hong-Ryang; Rhim, Jung-Woo; Han, Ji-Whan; Lee, Kyung-Yil

2018-05-01

This study aimed to analyse laboratory values according to fever duration, and evaluate the relationship across these values during the acute phase of Kawasaki disease (KD) to aid in the early diagnosis for early-presenting KD and incomplete KD patients. Clinical and laboratory data of patients with KD (n=615) were evaluated according to duration of fever at presentation, and were compared between patients with and without coronary artery lesions (CALs). For evaluation of the relationships across laboratory indices, patients with a fever duration of 5 days or 6 days were used (n=204). The mean fever duration was 6.6±2.3 days, and the proportions of patients with CALs was 19.3% (n=114). C-reactive proteins (CRPs) and neutrophil differential values were highest and hemoglobin, albumin, and lymphocyte differential values were lowest in the 6-day group. Patients with CALs had longer total fever duration, higher CRP and neutrophil differential values and lower hemoglobin and albumin values compared to patients without CALs. CRP, albumin, neutrophil differential, and hemoglobin values at the peak inflammation stage of KD showed positive or negative correlations each other. The severity of systemic inflammation in KD was reflected in the laboratory values including CRP, neutrophil differential, albumin, and hemoglobin. Observing changes in these laboratory parameters by repeated examinations prior to the peak of inflammation in acute KD may aid in diagnosis of early-presenting KD patients.

[A computer-aided image diagnosis and study system].

PubMed

Li, Zhangyong; Xie, Zhengxiang

2004-08-01

The revolution in information processing, particularly the digitizing of medicine, has changed the medical study, work and management. This paper reports a method to design a system for computer-aided image diagnosis and study. Combined with some good idea of graph-text system and picture archives communicate system (PACS), the system was realized and used for "prescription through computer", "managing images" and "reading images under computer and helping the diagnosis". Also typical examples were constructed in a database and used to teach the beginners. The system was developed by the visual developing tools based on object oriented programming (OOP) and was carried into operation on the Windows 9X platform. The system possesses friendly man-machine interface.

Life Quality Changes after HIV/AIDS Diagnosis: Positive Directions.

ERIC Educational Resources Information Center

Soule, Christine J.; Appleton, Valerie

Diagnosis of HIV/AIDS promotes a fear of the unknown, of death, or annihilation of self, of being, and of identity. Individuals face this threat in unique and holistic ways. This experience of crisis reflects stages of shock, disorganization, reorganization and resolution. Crisis can become a turning point and result in a passage toward successful…

Early Diagnosis and Early Intervention in Cerebral Palsy

PubMed Central

Hadders-Algra, Mijna

2014-01-01

This paper reviews the opportunities and challenges for early diagnosis and early intervention in cerebral palsy (CP). CP describes a group of disorders of the development of movement and posture, causing activity limitation that is attributed to disturbances that occurred in the fetal or infant brain. Therefore, the paper starts with a summary of relevant information from developmental neuroscience. Most lesions underlying CP occur in the second half of gestation, when developmental activity in the brain reaches its summit. Variations in timing of the damage not only result in different lesions but also in different neuroplastic reactions and different associated neuropathologies. This turns CP into a heterogeneous entity. This may mean that the best early diagnostics and the best intervention methods may differ for various subgroups of children with CP. Next, the paper addresses possibilities for early diagnosis. It discusses the predictive value of neuromotor and neurological exams, neuroimaging techniques, and neurophysiological assessments. Prediction is best when complementary techniques are used in longitudinal series. Possibilities for early prediction of CP differ for infants admitted to neonatal intensive care and other infants. In the former group, best prediction is achieved with the combination of neuroimaging and the assessment of general movements, in the latter group, best prediction is based on carefully documented milestones and neurological assessment. The last part reviews early intervention in infants developing CP. Most knowledge on early intervention is based on studies in high-risk infants without CP. In these infants, early intervention programs promote cognitive development until preschool age; motor development profits less. The few studies on early intervention in infants developing CP suggest that programs that stimulate all aspects of infant development by means of family coaching are most promising. More research is urgently needed

Computer-Aided Diagnosis of Breast Cancer: A Multi-Center Demonstrator

DTIC Science & Technology

1998-10-01

Artificial Neural Network (ANN) approach to computer aided diagnosis of breast cancer from mammographic findings. An ANN has been developed to provide support for the clinical decision to perform breast biopsy. The system is designed to aid in the decision to biopsy those patients who have suspicious mammographic findings. The decision to biopsy can be viewed as a two stage process: 1)the mammographer views the mammogram and determines the presence or absence of image features such as calcifications and masses, 2) the presence and description of these features

Stages of syphilis in South China - a multilevel analysis of early diagnosis.

PubMed

Wong, Ngai Sze; Huang, Shujie; Zheng, Heping; Chen, Lei; Zhao, Peizhen; Tucker, Joseph D; Yang, Li Gang; Goh, Beng Tin; Yang, Bin

2017-01-31

Early diagnosis of syphilis and timely treatment can effectively reduce ongoing syphilis transmission and morbidity. We examined the factors associated with the early diagnosis of syphilis to inform syphilis screening strategic planning. In an observational study, we analyzed reported syphilis cases in Guangdong Province, China (from 2014 to mid-2015) accessed from the national case-based surveillance system. We categorized primary and secondary syphilis cases as early diagnosis and categorized latent and tertiary syphilis as delayed diagnosis. Univariate analyses and multivariable logistic regressions were performed to identify the factors associated with early diagnosis. We also examined the factors associated with early diagnosis at the individual and city levels in multilevel logistic regression models with cases nested by city (n = 21), adjusted for age at diagnosis and gender. Among 83,944 diagnosed syphilis cases, 22% were early diagnoses. The city-level early diagnosis rate ranged from 7 to 46%, consistent with substantial geographic variation as shown in the multilevel model. Early diagnosis was associated with cases presenting to specialist clinics for screening, being male and attaining higher education level. Cases received syphilis testing in institutions and hospitals, and diagnosed in hospitals were less likely to be in early diagnosis. At the city-level, cases living in a city equipped with more hospitals per capita were less likely to be early diagnosis. To enhance early diagnosis of syphilis, city-specific syphilis screening strategies with a mix of passive and client/provider-initiated testing might be a useful approach.

Computer aided diagnosis based on medical image processing and artificial intelligence methods

NASA Astrophysics Data System (ADS)

Stoitsis, John; Valavanis, Ioannis; Mougiakakou, Stavroula G.; Golemati, Spyretta; Nikita, Alexandra; Nikita, Konstantina S.

2006-12-01

Advances in imaging technology and computer science have greatly enhanced interpretation of medical images, and contributed to early diagnosis. The typical architecture of a Computer Aided Diagnosis (CAD) system includes image pre-processing, definition of region(s) of interest, features extraction and selection, and classification. In this paper, the principles of CAD systems design and development are demonstrated by means of two examples. The first one focuses on the differentiation between symptomatic and asymptomatic carotid atheromatous plaques. For each plaque, a vector of texture and motion features was estimated, which was then reduced to the most robust ones by means of ANalysis of VAriance (ANOVA). Using fuzzy c-means, the features were then clustered into two classes. Clustering performances of 74%, 79%, and 84% were achieved for texture only, motion only, and combinations of texture and motion features, respectively. The second CAD system presented in this paper supports the diagnosis of focal liver lesions and is able to characterize liver tissue from Computed Tomography (CT) images as normal, hepatic cyst, hemangioma, and hepatocellular carcinoma. Five texture feature sets were extracted for each lesion, while a genetic algorithm based feature selection method was applied to identify the most robust features. The selected feature set was fed into an ensemble of neural network classifiers. The achieved classification performance was 100%, 93.75% and 90.63% in the training, validation and testing set, respectively. It is concluded that computerized analysis of medical images in combination with artificial intelligence can be used in clinical practice and may contribute to more efficient diagnosis.

Computer Aided Instruction and Problem Solving in the Teaching of Oral Diagnosis.

ERIC Educational Resources Information Center

Spencer, Judson; Gobetti, John P.

A computer-assisted instructional (CAI) program is being used at the University of Michigan School of Dentistry to aid in the teaching of oral diagnosis to dental students. The program is designed to simulate a real life situation--i.e., the diagnosis of patient illness-which would not be otherwise available to the student and to demonstrate to…

Computer-Aided Diagnosis in Medical Imaging: Historical Review, Current Status and Future Potential

PubMed Central

Doi, Kunio

2007-01-01

Computer-aided diagnosis (CAD) has become one of the major research subjects in medical imaging and diagnostic radiology. In this article, the motivation and philosophy for early development of CAD schemes are presented together with the current status and future potential of CAD in a PACS environment. With CAD, radiologists use the computer output as a “second opinion” and make the final decisions. CAD is a concept established by taking into account equally the roles of physicians and computers, whereas automated computer diagnosis is a concept based on computer algorithms only. With CAD, the performance by computers does not have to be comparable to or better than that by physicians, but needs to be complementary to that by physicians. In fact, a large number of CAD systems have been employed for assisting physicians in the early detection of breast cancers on mammograms. A CAD scheme that makes use of lateral chest images has the potential to improve the overall performance in the detection of lung nodules when combined with another CAD scheme for PA chest images. Because vertebral fractures can be detected reliably by computer on lateral chest radiographs, radiologists’ accuracy in the detection of vertebral fractures would be improved by the use of CAD, and thus early diagnosis of osteoporosis would become possible. In MRA, a CAD system has been developed for assisting radiologists in the detection of intracranial aneurysms. On successive bone scan images, a CAD scheme for detection of interval changes has been developed by use of temporal subtraction images. In the future, many CAD schemes could be assembled as packages and implemented as a part of PACS. For example, the package for chest CAD may include the computerized detection of lung nodules, interstitial opacities, cardiomegaly, vertebral fractures, and interval changes in chest radiographs as well as the computerized classification of benign and malignant nodules and the differential diagnosis of

A qualitative signature for early diagnosis of hepatocellular carcinoma based on relative expression orderings.

PubMed

Ao, Lu; Zhang, Zimei; Guan, Qingzhou; Guo, Yating; Guo, You; Zhang, Jiahui; Lv, Xingwei; Huang, Haiyan; Zhang, Huarong; Wang, Xianlong; Guo, Zheng

2018-04-23

Currently, using biopsy specimens to confirm suspicious liver lesions of early hepatocellular carcinoma are not entirely reliable because of insufficient sampling amount and inaccurate sampling location. It is necessary to develop a signature to aid early hepatocellular carcinoma diagnosis using biopsy specimens even when the sampling location is inaccurate. Based on the within-sample relative expression orderings of gene pairs, we identified a simple qualitative signature to distinguish both hepatocellular carcinoma and adjacent non-tumour tissues from cirrhosis tissues of non-hepatocellular carcinoma patients. A signature consisting of 19 gene pairs was identified in the training data sets and validated in 2 large collections of samples from biopsy and surgical resection specimens. For biopsy specimens, 95.7% of 141 hepatocellular carcinoma tissues and all (100%) of 108 cirrhosis tissues of non-hepatocellular carcinoma patients were correctly classified. Especially, all (100%) of 60 hepatocellular carcinoma adjacent normal tissues and 77.5% of 80 hepatocellular carcinoma adjacent cirrhosis tissues were classified to hepatocellular carcinoma. For surgical resection specimens, 99.7% of 733 hepatocellular carcinoma specimens were correctly classified to hepatocellular carcinoma, while 96.1% of 254 hepatocellular carcinoma adjacent cirrhosis tissues and 95.9% of 538 hepatocellular carcinoma adjacent normal tissues were classified to hepatocellular carcinoma. In contrast, 17.0% of 47 cirrhosis from non-hepatocellular carcinoma patients waiting for liver transplantation were classified to hepatocellular carcinoma, indicating that some patients with long-lasting cirrhosis could have already gained hepatocellular carcinoma characteristics. The signature can distinguish both hepatocellular carcinoma tissues and tumour-adjacent tissues from cirrhosis tissues of non-hepatocellular carcinoma patients even using inaccurately sampled biopsy specimens, which can aid early

Early infant HIV diagnosis and entry to HIV care cascade in Thailand: an observational study.

PubMed

Sirirungsi, Wasna; Khamduang, Woottichai; Collins, Intira Jeannie; Pusamang, Artit; Leechanachai, Pranee; Chaivooth, Suchada; Ngo-Giang-Huong, Nicole; Samleerat, Tanawan

2016-06-01

Early infant diagnosis of HIV is crucial for timely initiation of antiretroviral therapy (ART) in infected children who are at high risk of mortality. Early infant diagnosis with dried blood spot testing was provided by the National AIDS Programme in Thailand from 2007. We report ART initiation and vital status in children with HIV after 7 years of rollout in Thailand. Dried blood spot samples were collected from HIV-exposed children in hospitals in Thailand and mailed to the Faculty of Associated Medical Sciences, Chiang Mai University, where HIV DNA was assessed with real-time PCR to establish HIV infection. We linked data from children with an HIV infection to the National AIDS Programme database to ascertain ART and vital status. Between April 5, 2007, and Oct 1, 2014, 16 046 dried blood spot samples were sent from 8859 children in 364 hospitals in Thailand. Median age at first dried blood spot test was 2·1 (IQR 1·8-2·5) months. Of 7174 (81%) children with two or more samples, 223 (3%) were HIV positive (including five unconfirmed). Of 1685 (19%) children with one sample, 70 (4%) were unconfirmed positive. Of 293 (3%) children who were HIV positive, 220 (75%) registered for HIV care and 170 (58%) initiated ART. Median age at ART initiation decreased from 14·2 months (IQR 10·2-25·6) in 2007 to 6·1 months (4·2-9·2) in 2013, and the number of children initiating ART aged younger than 1 year increased from five (33%) of 15 children initiating ART in 2007 to ten (83%) of 12 initiating ART in 2013. 15 (9%) of 170 children who initiated ART died and 16 (32%) of 50 who had no ART record died. Early infant diagnosis with dried blood spot testing had high uptake in primary care settings. Further improvement of linkage to HIV care is needed to ensure timely treatment of all children with an HIV infection. None. Copyright © 2016 Elsevier Ltd. All rights reserved.

Computer-aided diagnosis workstation and network system for chest diagnosis based on multislice CT images

NASA Astrophysics Data System (ADS)

Satoh, Hitoshi; Niki, Noboru; Eguchi, Kenji; Moriyama, Noriyuki; Ohmatsu, Hironobu; Masuda, Hideo; Machida, Suguru

2008-03-01

Mass screening based on multi-helical CT images requires a considerable number of images to be read. It is this time-consuming step that makes the use of helical CT for mass screening impractical at present. To overcome this problem, we have provided diagnostic assistance methods to medical screening specialists by developing a lung cancer screening algorithm that automatically detects suspected lung cancers in helical CT images, a coronary artery calcification screening algorithm that automatically detects suspected coronary artery calcification and a vertebra body analysis algorithm for quantitative evaluation of osteoporosis likelihood by using helical CT scanner for the lung cancer mass screening. The function to observe suspicious shadow in detail are provided in computer-aided diagnosis workstation with these screening algorithms. We also have developed the telemedicine network by using Web medical image conference system with the security improvement of images transmission, Biometric fingerprint authentication system and Biometric face authentication system. Biometric face authentication used on site of telemedicine makes "Encryption of file" and Success in login" effective. As a result, patients' private information is protected. Based on these diagnostic assistance methods, we have developed a new computer-aided workstation and a new telemedicine network that can display suspected lesions three-dimensionally in a short time. The results of this study indicate that our radiological information system without film by using computer-aided diagnosis workstation and our telemedicine network system can increase diagnostic speed, diagnostic accuracy and security improvement of medical information.

[Early diagnosis of ectopic pregnancy].

PubMed

Belics, Zoran; Gérecz, Balázs; Csákány, M György

2014-07-20

Ectopic pregnancy is a high-risk condition that occurs in 2% of reported pregnancies. This percentage is fivefold higher than that registered in the 1970s. Since 1970 there has been a two-fold increase in the ratio of ectopic pregnancies to all reported pregnancies in Hungary and in 2012 7.4 ectopic pregnancies per thousand registered pregnancies were reported. Recently, the majority (80%) of cases can be diagnosed in early stage, and the related mortality objectively decreased in the past few decades to 3.8/10,000 ectopic pregnancies. If a woman with positive pregnancy test has abdominal pain and/or vaginal bleeding the physician should perform a work-up to safely exclude the possibility of ectopic pregnancy. The basis of diagnosis is ultrasonography, especially vaginal ultrasound examination and measurement of the β-subunit of human chorionic gonadotropin. The ultrasound diagnosis is based on the visualization of an ectopic mass rather than the inability to visualize an intrauterine pregnancy. In some questionable cases the diagnostic uterine curettage or laparoscopy may be useful. The actuality of this topic is justified by practical difficulties in obtaining correct diagnosis, especially in the early gestational time.

Computer aided diagnosis and treatment planning for developmental dysplasia of the hip

NASA Astrophysics Data System (ADS)

Li, Bin; Lu, Hongbing; Cai, Wenli; Li, Xiang; Meng, Jie; Liang, Zhengrong

2005-04-01

The developmental dysplasia of the hip (DDH) is a congenital malformation affecting the proximal femurs and acetabulum that are subluxatable, dislocatable, and dislocated. Early diagnosis and treatment is important because failure to diagnose and improper treatment can result in significant morbidity. In this paper, we designed and implemented a computer aided system for the diagnosis and treatment planning of this disease. With the design, the patient received CT (computed tomography) or MRI (magnetic resonance imaging) scan first. A mixture-based PV partial-volume algorithm was applied to perform bone segmentation on CT image, followed by three-dimensional (3D) reconstruction and display of the segmented image, demonstrating the special relationship between the acetabulum and femurs for visual judgment. Several standard procedures, such as Salter procedure, Pemberton procedure and Femoral Shortening osteotomy, were simulated on the screen to rehearse a virtual treatment plan. Quantitative measurement of Acetabular Index (AI) and Femoral Neck Anteversion (FNA) were performed on the 3D image for evaluation of DDH and treatment plans. PC graphics-card GPU architecture was exploited to accelerate the 3D rendering and geometric manipulation. The prototype system was implemented on PC/Windows environment and is currently under clinical trial on patient datasets.

Psychiatric considerations in the diagnosis, treatment, and prevention of HIV/AIDS.

PubMed

Ruiz, P; Guynn, R W; Matorin, A A

2000-05-01

HIV/AIDS has the unfortunate distinction of being one of the most devastating epidemics of the twentieth century. By the end of June, 1999, 420,201 deaths in persons with AIDS had been reported in the United States. While HIV/AIDS patients are currently living longer as a result of more effective and complex treatments, no vaccination or cure has yet been discovered. Over the years, the HIV/AIDS epidemic has become multifactorial and currently affects several different special population groups. Individuals who are at high risk for becoming infected with HIV or who already suffer from HIV/AIDS can benefit greatly from the interventions of psychiatrists or other mental health professionals. It is important that psychiatrists collaborate very closely with infectious disease specialists in the management of HIV/AIDS and its psychological sequelae. The authors describe the psychiatric conditions that most often occur in association with HIV/AIDS: mood disorders, anxiety disorders, substance-related disorders, psychotic disorders, insomnia and sleep disorders, delirium, dementia, and pain syndromes. We present guidelines for diagnosis and psychopharmacological and psychotherapeutic treatment of these disorders in patients with HIV/AIDS. The article concludes with a discussion of prevention strategies that can be used in a mental health treatment setting and special issues related to treating HIV/AIDS in certain special population groups.

On the convergence of nanotechnology and Big Data analysis for computer-aided diagnosis.

PubMed

Rodrigues, Jose F; Paulovich, Fernando V; de Oliveira, Maria Cf; de Oliveira, Osvaldo N

2016-04-01

An overview is provided of the challenges involved in building computer-aided diagnosis systems capable of precise medical diagnostics based on integration and interpretation of data from different sources and formats. The availability of massive amounts of data and computational methods associated with the Big Data paradigm has brought hope that such systems may soon be available in routine clinical practices, which is not the case today. We focus on visual and machine learning analysis of medical data acquired with varied nanotech-based techniques and on methods for Big Data infrastructure. Because diagnosis is essentially a classification task, we address the machine learning techniques with supervised and unsupervised classification, making a critical assessment of the progress already made in the medical field and the prospects for the near future. We also advocate that successful computer-aided diagnosis requires a merge of methods and concepts from nanotechnology and Big Data analysis.

Early diagnosis of Parkinson's disease.

PubMed

Becker, Georg; Müller, Antje; Braune, Stefan; Büttner, Thomas; Benecke, Reiner; Greulich, Wolfgang; Klein, Wolfgang; Mark, Günter; Rieke, Jürgen; Thümler, Reiner

2002-10-01

In idiopathic Parkinson's disease (IPD) approximately 60 % of the nigrostriatal neurons of the substantia nigra (SN) are degenerated before neurologists can establish the diagnosis according to the widely accepted clinical diagnostic criteria. It is conceivable that neuroprotective therapy starting at such an 'advanced stage' of the disease will fail to stop the degenerative process. Therefore, the identification of patients at risk and at earlier stages of the disease appears to be essential for any successful neuroprotection. The discovery of several genetic mutations associated with IPD raises the possibility that these, or other biomarkers, of the disease may help to identify persons at risk of IPD. Transcranial ultrasound have shown susceptibility factors for IPD related to an increased iron load of the substantia nigra. In the early clinical phase, a number of motor and particularly non-motor signs emerge, which can be identified by the patients and physicians years before the diagnosis is made, notably olfactory dysfunction, depression, or 'soft' motor signs such as changes in handwriting, speech or reduced ambulatory arm motion. These signs of the early, prediagnostic phase of IPD can be detected by inexpensive and easy-to-administer tests. As one single instrument will not be sensitive enough, a battery of tests has to be composed measuring independent parameters of the incipient disease. Subjects with abnormal findings in this test battery should than be submitted to nuclear medicine examinations to quantify the extent of dopaminergic injury and to reach the goal of a reliable, early diagnosis.

Early diagnosis in glaucoma.

PubMed

Garway-Heath, David F

2008-01-01

This chapter reviews the evidence for the clinical application of vision function tests and imaging devices to identify early glaucoma, and sets out a scheme for the appropriate use and interpretation of test results in screening/case-finding and clinic settings. In early glaucoma, signs may be equivocal and the diagnosis is often uncertain. Either structural damage or vision function loss may be the first sign of glaucoma; neither one is consistently apparent before the other. Quantitative tests of visual function and measurements of optic-nerve head and retinal nerve fiber layer anatomy are useful to either raise or lower the probability that glaucoma is present. The posttest probability for glaucoma may be calculated from the pretest probability and the likelihood ratio of the diagnostic criterion, and the output of several diagnostic devices may be combined to achieve a final probability. However, clinicians need to understand how these diagnostic devices make their measurements, so that the validity of each test result can be adequately assessed. Only then should the result be used, together with the patient history and clinical examination, to derive a diagnosis.

[Thinking about the present primary open angle glaucoma early diagnosis concepts and methods].

PubMed

Ren, Zeqin

2014-05-01

Early diagnosis of primary open-angle glaucoma has not been clear and consistent in concepts and methods. At present, according to the pathophysiology process of optic nerve damage and its detection technology, early diagnosis on the concept still belongs to the early clinical diagnosis instead of preclinical diagnosis, and on the method depends on the fundus as morphological index combined with the visual field as functional index. The direction of early clinical diagnosis mainly lies in exploring more effective diagnosis index, rather than blindly adopt new diagnostic technology.

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

Federal Register 2010, 2011, 2012, 2013, 2014

2010-01-22

... HIV/AIDS Part C Early Intervention Services (EIS) Program AGENCY: Health Resources and Services... Department, Orlando, Florida, that will ensure continuity of Part C, Early Intervention Services (EIS), HIV...: Critical funding for HIV/AIDS care and treatment to the target populations in Orange County, Orlando...

Computer-aided-diagnosis (CAD) for colposcopy

NASA Astrophysics Data System (ADS)

Lange, Holger; Ferris, Daron G.

2005-04-01

Uterine cervical cancer is the second most common cancer among women worldwide. Colposcopy is a diagnostic method, whereby a physician (colposcopist) visually inspects the lower genital tract (cervix, vulva and vagina), with special emphasis on the subjective appearance of metaplastic epithelium comprising the transformation zone on the cervix. Cervical cancer precursor lesions and invasive cancer exhibit certain distinctly abnormal morphologic features. Lesion characteristics such as margin; color or opacity; blood vessel caliber, intercapillary spacing and distribution; and contour are considered by colposcopists to derive a clinical diagnosis. Clinicians and academia have suggested and shown proof of concept that automated image analysis of cervical imagery can be used for cervical cancer screening and diagnosis, having the potential to have a direct impact on improving women"s health care and reducing associated costs. STI Medical Systems is developing a Computer-Aided-Diagnosis (CAD) system for colposcopy -- ColpoCAD. At the heart of ColpoCAD is a complex multi-sensor, multi-data and multi-feature image analysis system. A functional description is presented of the envisioned ColpoCAD system, broken down into: Modality Data Management System, Image Enhancement, Feature Extraction, Reference Database, and Diagnosis and directed Biopsies. The system design and development process of the image analysis system is outlined. The system design provides a modular and open architecture built on feature based processing. The core feature set includes the visual features used by colposcopists. This feature set can be extended to include new features introduced by new instrument technologies, like fluorescence and impedance, and any other plausible feature that can be extracted from the cervical data. Preliminary results of our research on detecting the three most important features: blood vessel structures, acetowhite regions and lesion margins are shown. As this is a new

Early Pregnancy Diagnosis in Bovines: Current Status and Future Directions

PubMed Central

Gupta, Meenakshi; Singh, Surender; Mohanty, Ashok K.; Singh, Inderjeet

2013-01-01

An early and accurate diagnosis of reproductive dysfunctions or aberrations is crucial to better reproductive management in livestock. High reproductive efficiency is a prerequisite for high life-time production in dairy animals. Early pregnancy diagnosis is key to shorten the calving interval through early identification of open animals and their timely treatment and rebreeding so as to maintain a postpartum barren interval close to 60 days. A buffalo, the most important dairy animal in the Indian subcontinent, is known for problems related to high calving interval, late puberty, and high incidence of anestrus. Lack of reliable cow-side early pregnancy diagnosis methods further aggravates the situation. Several methods of pregnancy diagnosis are being practiced in bovine species, yet none qualifies as the ideal pregnancy diagnosis method due to the inherent limitations of sensitivity, accuracy, specificity, speed, and ease of performing the test. The advancement of molecular techniques like proteomics and their applications in animal research has given a new hope to look for pregnancy biomarker molecules in these animals. This review attempts to examine common pregnancy diagnosis methods available for dairy animals, while assessing the usefulness of the modern technologies in detecting novel pregnancy markers and designing future strategies for research in this area. PMID:24382949

Early pregnancy diagnosis in bovines: current status and future directions.

PubMed

Balhara, Ashok K; Gupta, Meenakshi; Singh, Surender; Mohanty, Ashok K; Singh, Inderjeet

2013-01-01

An early and accurate diagnosis of reproductive dysfunctions or aberrations is crucial to better reproductive management in livestock. High reproductive efficiency is a prerequisite for high life-time production in dairy animals. Early pregnancy diagnosis is key to shorten the calving interval through early identification of open animals and their timely treatment and rebreeding so as to maintain a postpartum barren interval close to 60 days. A buffalo, the most important dairy animal in the Indian subcontinent, is known for problems related to high calving interval, late puberty, and high incidence of anestrus. Lack of reliable cow-side early pregnancy diagnosis methods further aggravates the situation. Several methods of pregnancy diagnosis are being practiced in bovine species, yet none qualifies as the ideal pregnancy diagnosis method due to the inherent limitations of sensitivity, accuracy, specificity, speed, and ease of performing the test. The advancement of molecular techniques like proteomics and their applications in animal research has given a new hope to look for pregnancy biomarker molecules in these animals. This review attempts to examine common pregnancy diagnosis methods available for dairy animals, while assessing the usefulness of the modern technologies in detecting novel pregnancy markers and designing future strategies for research in this area.

Sinus barotrauma--late diagnosis and treatment with computer-aided endoscopic surgery.

PubMed

Larsen, Anders Schermacher; Buchwald, Christian; Vesterhauge, Søren

2003-02-01

Sinus barotrauma is usually easy to diagnose, and treatment achieves good results. We present two severe cases where delayed diagnosis caused significant morbidity. The signs and symptoms were atypical and neither the patients themselves, nor the initial examiners recognized that the onset of symptoms coincided with descent in a commercial airliner. CT and MRI scans of the brain were normal, but in both cases showed opafication of the sphenoid sinuses, which lead to the correct diagnosis. Subsequent surgical intervention consisting of endoscopic computer-aided surgery showed blood and petechia in the affected sinuses. This procedure provided immediate relief.

Computer-Aided Diagnosis Systems for Lung Cancer: Challenges and Methodologies

PubMed Central

El-Baz, Ayman; Beache, Garth M.; Gimel'farb, Georgy; Suzuki, Kenji; Okada, Kazunori; Elnakib, Ahmed; Soliman, Ahmed; Abdollahi, Behnoush

2013-01-01

This paper overviews one of the most important, interesting, and challenging problems in oncology, the problem of lung cancer diagnosis. Developing an effective computer-aided diagnosis (CAD) system for lung cancer is of great clinical importance and can increase the patient's chance of survival. For this reason, CAD systems for lung cancer have been investigated in a huge number of research studies. A typical CAD system for lung cancer diagnosis is composed of four main processing steps: segmentation of the lung fields, detection of nodules inside the lung fields, segmentation of the detected nodules, and diagnosis of the nodules as benign or malignant. This paper overviews the current state-of-the-art techniques that have been developed to implement each of these CAD processing steps. For each technique, various aspects of technical issues, implemented methodologies, training and testing databases, and validation methods, as well as achieved performances, are described. In addition, the paper addresses several challenges that researchers face in each implementation step and outlines the strengths and drawbacks of the existing approaches for lung cancer CAD systems. PMID:23431282

Deep learning for cardiac computer-aided diagnosis: benefits, issues & solutions.

PubMed

Loh, Brian C S; Then, Patrick H H

2017-01-01

Cardiovascular diseases are one of the top causes of deaths worldwide. In developing nations and rural areas, difficulties with diagnosis and treatment are made worse due to the deficiency of healthcare facilities. A viable solution to this issue is telemedicine, which involves delivering health care and sharing medical knowledge at a distance. Additionally, mHealth, the utilization of mobile devices for medical care, has also proven to be a feasible choice. The integration of telemedicine, mHealth and computer-aided diagnosis systems with the fields of machine and deep learning has enabled the creation of effective services that are adaptable to a multitude of scenarios. The objective of this review is to provide an overview of heart disease diagnosis and management, especially within the context of rural healthcare, as well as discuss the benefits, issues and solutions of implementing deep learning algorithms to improve the efficacy of relevant medical applications.

Survival after diagnosis of AIDS: a prospective observational study of 2625 patients. Royal Free/Chelsea and Westminster Hospitals Collaborative Group.

PubMed Central

Mocroft, A.; Youle, M.; Morcinek, J.; Sabin, C. A.; Gazzard, B.; Johnson, M. A.; Phillips, A. N.

1997-01-01

OBJECTIVE: To estimate median survival and changes in survival in patients diagnosed as having AIDS. DESIGN: Prospective observational study. SETTING: Clinics in two large London hospitals. SUBJECTS: 2625 patients with AIDS seen between 1982 and July 1995. MAIN OUTCOME MEASURES: Survival, estimated using lifetable analyses, and factors associated with survival, identified from Cox proportional hazards models. RESULTS: Median survival (20 months) was longer than previous estimates. The CD4 lymphocyte count at or before initial AIDS defining illness decreased significantly over time from 90 x 10(6)/1 during 1987 or earlier to 40 x 10(6)/1 during 1994 and 1995 (P < 0.0001). In the first three months after diagnosis, patients in whom AIDS was diagnosed after 1987 had a much lower risk of death (relative risk 0.44, 95% confidence interval 0.22 to 0.86; P = 0.017) than patients diagnosed before 1987. When the diagnosis was based on oesophageal candidiasis or Kaposi's sarcoma, patients had a lower risk of death than when the diagnosis was based on Pneumocystis carinii pneumonia (0.21 (0.07 to 0.59). P = 0.0030 and 0.37 (0.16 to 0.83), P = 0.016). Three months after AIDS diagnosis, the risk of death was similar in patients whose diagnosis was made after and before 1987 (1.02 (0.79 to 1.31), P = 0.91). There were no differences in survival between patients diagnosed during 1988-90, 1991-3, or 1994-5. CONCLUSIONS: In later years, patients were much more likely to survive their initial illness, but long term survival has remained poor. The decrease in CD4 lymphocyte count at AIDS diagnosis indicates that patients are being diagnosed as having AIDS at ever more advanced stages of immunodeficiency. PMID:9040386

Enhancements in medicine by integrating content based image retrieval in computer-aided diagnosis

NASA Astrophysics Data System (ADS)

Aggarwal, Preeti; Sardana, H. K.

2010-02-01

Computer-aided diagnosis (CAD) has become one of the major research subjects in medical imaging and diagnostic radiology. With cad, radiologists use the computer output as a "second opinion" and make the final decisions. Retrieving images is a useful tool to help radiologist to check medical image and diagnosis. The impact of contentbased access to medical images is frequently reported but existing systems are designed for only a particular context of diagnosis. The challenge in medical informatics is to develop tools for analyzing the content of medical images and to represent them in a way that can be efficiently searched and compared by the physicians. CAD is a concept established by taking into account equally the roles of physicians and computers. To build a successful computer aided diagnostic system, all the relevant technologies, especially retrieval need to be integrated in such a manner that should provide effective and efficient pre-diagnosed cases with proven pathology for the current case at the right time. In this paper, it is suggested that integration of content-based image retrieval (CBIR) in cad can bring enormous results in medicine especially in diagnosis. This approach is also compared with other approaches by highlighting its advantages over those approaches.

AIDS: acquired immunodeficiency syndrome.

PubMed Central

Gilmore, N. J.; Beaulieu, R.; Steben, M.; Laverdière, M.

1983-01-01

Acquired immunodeficiency syndrome, or AIDS, is a new illness that occurs in previously healthy individuals. It is characterized by immunodeficiency, opportunistic infections and unusual malignant diseases. Life-threatening single or multiple infections with viruses, mycobacteria, fungi or protozoa are common. A rare neoplasm, Kaposi's sarcoma, has developed in approximately one third of patients with AIDS. More than 800 cases of AIDS have been reported in North America, over 24 of them in Canada. The majority of patients are male homosexuals, although AIDS has also developed in abusers of intravenously administered drugs, Haitian immigrants, individuals with hemophilia, recipients of blood transfusions, prostitutes, and infants, spouses and partners of patients with AIDS. The cause of AIDS is unknown, but the features are consistent with an infectious process. Early diagnosis can be difficult owing to the nonspecific symptoms and signs of the infections and malignant diseases. Therefore, vigilance by physicians is of utmost importance. PMID:6342737

AIDS: acquired immunodeficiency syndrome *

PubMed Central

Gilmore, N.J.; Beaulieu, R.; Steben, M.; Laverdière, M.

1992-01-01

Acquired immunodeficiency syndrome, or AIDS, is a new illness that occurs in previously healthy individuals. It is characterized by immunodeficiency, opportunistic infections and unusual malignant diseases. Life-threatening single or multiple infections with viruses, mycobacteria, fungi or protozoa are common. A rare neoplasm, Kaposi's sarcoma, has developed in approximately one third of patients with AIDS. More than 800 cases of AIDS have been reported in North America, over 24 of them in Canada. The majority of patients are male homosexuals, although AIDS has also developed in abusers of intravenously administered drugs, Haitian immigrants, individuals with hemophilia, recipients of blood transfusions, prostitutes, and infants, spouses and partners of patients with AIDS. The cause of AIDS is unknown, but the features are consistent with an infectious process. Early diagnosis can be difficult owing to the nonspecific symptoms and signs of the infections and malignant diseases. Therefore, vigilance by physicians is of the utmost importance. PMID:1544049

Computer aided diagnosis of diabetic foot using infrared thermography: A review.

PubMed

Adam, Muhammad; Ng, Eddie Y K; Tan, Jen Hong; Heng, Marabelle L; Tong, Jasper W K; Acharya, U Rajendra

2017-12-01

Diabetes mellitus (DM) is a chronic metabolic disorder that requires regular medical care to prevent severe complications. The elevated blood glucose level affects the eyes, blood vessels, nerves, heart, and kidneys after the onset. The affected blood vessels (usually due to atherosclerosis) may lead to insufficient blood circulation particularly in the lower extremities and nerve damage (neuropathy), which can result in serious foot complications. Hence, an early detection and treatment can prevent foot complications such as ulcerations and amputations. Clinicians often assess the diabetic foot for sensory deficits with clinical tools, and the resulting foot severity is often manually evaluated. The infrared thermography is a fast, nonintrusive and non-contact method which allows the visualization of foot plantar temperature distribution. Several studies have proposed infrared thermography-based computer aided diagnosis (CAD) methods for diabetic foot. Among them, the asymmetric temperature analysis method is more superior, as it is easy to implement, and yielded satisfactory results in most of the studies. In this paper, the diabetic foot, its pathophysiology, conventional assessments methods, infrared thermography and the different infrared thermography-based CAD analysis methods are reviewed. Copyright © 2017 Elsevier Ltd. All rights reserved.

Computer-aided diagnosis of alcoholism-related EEG signals.

PubMed

Acharya, U Rajendra; S, Vidya; Bhat, Shreya; Adeli, Hojjat; Adeli, Amir

2014-12-01

Alcoholism is a severe disorder that affects the functionality of neurons in the central nervous system (CNS) and alters the behavior of the affected person. Electroencephalogram (EEG) signals can be used as a diagnostic tool in the evaluation of subjects with alcoholism. The neurophysiological interpretation of EEG signals in persons with alcoholism (PWA) is based on observation and interpretation of the frequency and power in their EEGs compared to EEG signals from persons without alcoholism. This paper presents a review of the known features of EEGs obtained from PWA and proposes that the impact of alcoholism on the brain can be determined by computer-aided analysis of EEGs through extracting the minute variations in the EEG signals that can differentiate the EEGs of PWA from those of nonaffected persons. The authors advance the idea of automated computer-aided diagnosis (CAD) of alcoholism by employing the EEG signals. This is achieved through judicious combination of signal processing techniques such as wavelet, nonlinear dynamics, and chaos theory and pattern recognition and classification techniques. A CAD system is cost-effective and efficient and can be used as a decision support system by physicians in the diagnosis and treatment of alcoholism especially those who do not specialize in alcoholism or neurophysiology. It can also be of great value to rehabilitation centers to assess PWA over time and to monitor the impact of treatment aimed at minimizing or reversing the effects of the disease on the brain. A CAD system can be used to determine the extent of alcoholism-related changes in EEG signals (low, medium, high) and the effectiveness of therapeutic plans. Copyright © 2014 Elsevier Inc. All rights reserved.

Deep learning for cardiac computer-aided diagnosis: benefits, issues & solutions

PubMed Central

Then, Patrick H. H.

2017-01-01

Cardiovascular diseases are one of the top causes of deaths worldwide. In developing nations and rural areas, difficulties with diagnosis and treatment are made worse due to the deficiency of healthcare facilities. A viable solution to this issue is telemedicine, which involves delivering health care and sharing medical knowledge at a distance. Additionally, mHealth, the utilization of mobile devices for medical care, has also proven to be a feasible choice. The integration of telemedicine, mHealth and computer-aided diagnosis systems with the fields of machine and deep learning has enabled the creation of effective services that are adaptable to a multitude of scenarios. The objective of this review is to provide an overview of heart disease diagnosis and management, especially within the context of rural healthcare, as well as discuss the benefits, issues and solutions of implementing deep learning algorithms to improve the efficacy of relevant medical applications. PMID:29184897

Incorporating Colour Information for Computer-Aided Diagnosis of Melanoma from Dermoscopy Images: A Retrospective Survey and Critical Analysis

PubMed Central

Drew, Mark S.

2016-01-01

Cutaneous melanoma is the most life-threatening form of skin cancer. Although advanced melanoma is often considered as incurable, if detected and excised early, the prognosis is promising. Today, clinicians use computer vision in an increasing number of applications to aid early detection of melanoma through dermatological image analysis (dermoscopy images, in particular). Colour assessment is essential for the clinical diagnosis of skin cancers. Due to this diagnostic importance, many studies have either focused on or employed colour features as a constituent part of their skin lesion analysis systems. These studies range from using low-level colour features, such as simple statistical measures of colours occurring in the lesion, to availing themselves of high-level semantic features such as the presence of blue-white veil, globules, or colour variegation in the lesion. This paper provides a retrospective survey and critical analysis of contributions in this research direction. PMID:28096807

ICADx: interpretable computer aided diagnosis of breast masses

NASA Astrophysics Data System (ADS)

Kim, Seong Tae; Lee, Hakmin; Kim, Hak Gu; Ro, Yong Man

2018-02-01

In this study, a novel computer aided diagnosis (CADx) framework is devised to investigate interpretability for classifying breast masses. Recently, a deep learning technology has been successfully applied to medical image analysis including CADx. Existing deep learning based CADx approaches, however, have a limitation in explaining the diagnostic decision. In real clinical practice, clinical decisions could be made with reasonable explanation. So current deep learning approaches in CADx are limited in real world deployment. In this paper, we investigate interpretability in CADx with the proposed interpretable CADx (ICADx) framework. The proposed framework is devised with a generative adversarial network, which consists of interpretable diagnosis network and synthetic lesion generative network to learn the relationship between malignancy and a standardized description (BI-RADS). The lesion generative network and the interpretable diagnosis network compete in an adversarial learning so that the two networks are improved. The effectiveness of the proposed method was validated on public mammogram database. Experimental results showed that the proposed ICADx framework could provide the interpretability of mass as well as mass classification. It was mainly attributed to the fact that the proposed method was effectively trained to find the relationship between malignancy and interpretations via the adversarial learning. These results imply that the proposed ICADx framework could be a promising approach to develop the CADx system.

Survival After HIV Infection Stage 3 (AIDS) Diagnosis, by Population Density Areas, United States, 2005-2010.

PubMed

Bosh, Karin A; Shi, Jing; Chen, Mi

We examined the survival rates after diagnosis of HIV infection stage 3 (AIDS) in the United States by population density area of residence at diagnosis. We used data from the National HIV Surveillance System to calculate survival rates among people aged ≥13 with HIV infection stage 3 (AIDS) diagnosed from 2005 through 2010. We determined survival rates for more than 12, 24, and 36 months after diagnosis; overall and by demographic characteristics; and across 3 population density area categories (large metropolitan statistical areas [MSAs, ≥500 000 people], small-to-medium MSAs [50 000 to 499 999 people], and nonmetropolitan areas [<50 000 people]). The survival rates for more than 12, 24, and 36 months after diagnosis were highest among people residing in large MSAs (90.2%, 87.2%, and 84.9%, respectively) and lowest among people residing in nonmetropolitan areas (87.3%, 84.1%, and 81.4%, respectively). With a few exceptions, survival rates were lower in those residing in nonmetropolitan areas than those residing in large MSAs and small-to-medium MSAs across most subgroups by age at diagnosis, race/ethnicity, sex, transmission category, region of residence, and year of diagnosis. Between 2005 and 2010, significant year-to-year increases occurred in the proportion of people surviving more than 36 months after diagnosis across all 3 population density area categories (estimated annual percentage change: large MSAs [0.88; 95% confidence interval (CI), 0.56-1.20]; small-to-medium MSAs [0.94; 95% CI, 0.06-1.83]; and nonmetropolitan areas [1.26; 95% CI, 0.07-2.46]). Although survival rates for those with HIV infection stage 3 (AIDS) improved in all 3 population density area categories, efforts to remove barriers to care and promote treatment adherence in nonmetropolitan areas will be necessary to eliminate survival disparities.

Acute Cutaneous Necrosis: A Guide to Early Diagnosis and Treatment.

PubMed

Karimi, Karen; Odhav, Ashika; Kollipara, Ramya; Fike, Jesse; Stanford, Carol; Hall, John C

Acute cutaneous necrosis is characterised by a wide range of aetiologies and is associated with significant morbidity and mortality, warranting complex considerations in management. Early recognition is imperative in diagnosis and management of sudden gangrenous changes in the skin. This review discusses major causes of cutaneous necrosis, examines the need for early assessment, and integrates techniques related to diagnosis and management. The literature, available via PubMed, on acute cutaneous necrotic syndromes was reviewed to summarise causes and synthesise appropriate treatment strategies to create a clinician's guide in the early diagnosis and management of acute cutaneous necrosis. Highlighted in this article are key features associated with common causes of acute cutaneous necrosis: warfarin-induced skin necrosis, heparin-induced skin necrosis, calciphylaxis, pyoderma gangrenosum, embolic phenomena, purpura fulminans, brown recluse spider bite, necrotising fasciitis, ecthyma gangrenosum, antiphospholipid syndrome, hypergammaglobulinemia, and cryoglobulinemia. This review serves to increase recognition of these serious pathologies and complications, allowing for prompt diagnosis and swift limb- or life-saving management.

Computer-aided diagnosis workstation and telemedicine network system for chest diagnosis based on multislice CT images

NASA Astrophysics Data System (ADS)

Satoh, Hitoshi; Niki, Noboru; Eguchi, Kenji; Ohmatsu, Hironobu; Kakinuma, Ryutaru; Moriyama, Noriyuki

2009-02-01

Mass screening based on multi-helical CT images requires a considerable number of images to be read. It is this time-consuming step that makes the use of helical CT for mass screening impractical at present. Moreover, the doctor who diagnoses a medical image is insufficient in Japan. To overcome these problems, we have provided diagnostic assistance methods to medical screening specialists by developing a lung cancer screening algorithm that automatically detects suspected lung cancers in helical CT images, a coronary artery calcification screening algorithm that automatically detects suspected coronary artery calcification and a vertebra body analysis algorithm for quantitative evaluation of osteoporosis likelihood by using helical CT scanner for the lung cancer mass screening. The functions to observe suspicious shadow in detail are provided in computer-aided diagnosis workstation with these screening algorithms. We also have developed the telemedicine network by using Web medical image conference system with the security improvement of images transmission, Biometric fingerprint authentication system and Biometric face authentication system. Biometric face authentication used on site of telemedicine makes "Encryption of file" and "Success in login" effective. As a result, patients' private information is protected. We can share the screen of Web medical image conference system from two or more web conference terminals at the same time. An opinion can be exchanged mutually by using a camera and a microphone that are connected with workstation. Based on these diagnostic assistance methods, we have developed a new computer-aided workstation and a new telemedicine network that can display suspected lesions three-dimensionally in a short time. The results of this study indicate that our radiological information system without film by using computer-aided diagnosis workstation and our telemedicine network system can increase diagnostic speed, diagnostic accuracy and

[Computer aided diagnosis model for lung tumor based on ensemble convolutional neural network].

PubMed

Wang, Yuanyuan; Zhou, Tao; Lu, Huiling; Wu, Cuiying; Yang, Pengfei

2017-08-01

The convolutional neural network (CNN) could be used on computer-aided diagnosis of lung tumor with positron emission tomography (PET)/computed tomography (CT), which can provide accurate quantitative analysis to compensate for visual inertia and defects in gray-scale sensitivity, and help doctors diagnose accurately. Firstly, parameter migration method is used to build three CNNs (CT-CNN, PET-CNN, and PET/CT-CNN) for lung tumor recognition in CT, PET, and PET/CT image, respectively. Then, we aimed at CT-CNN to obtain the appropriate model parameters for CNN training through analysis the influence of model parameters such as epochs, batchsize and image scale on recognition rate and training time. Finally, three single CNNs are used to construct ensemble CNN, and then lung tumor PET/CT recognition was completed through relative majority vote method and the performance between ensemble CNN and single CNN was compared. The experiment results show that the ensemble CNN is better than single CNN on computer-aided diagnosis of lung tumor.

Early diagnosis of autism and impact on prognosis: a narrative review

PubMed Central

Fernell, Elisabeth; Eriksson, Mats Anders; Gillberg, Christopher

2013-01-01

Autism spectrum disorders involve a set of clinical phenotypes that mirror an early onset of neurodevelopmental deviations, with core symptoms that can probably be related to a deficiency in the social instinct. Underlying the cognitive impairments there are physiological brain problems, caused by a large number of medical factors. This narrative review of systematic reviews and meta-analyses from the last 5 years (2008–2012) presents aspects from many areas in autism spectrum disorder research, with a particular focus on early intervention and the subsequent impact on prognosis. Other major areas discussed are epidemiology, early symptoms and screening, early diagnosis, neuropsychology, medical factors, and the existence of comorbidities. There is limited evidence that any of the broadband “early intervention” programs are effective in changing the natural long-term outcome for many individuals with an early diagnosis of autism. However, there is some evidence that Early Intensive Behavioral Intervention (EIBI) is an effective treatment for some children with ASD. Nevertheless, there is emerging consensus that early diagnosis and information are needed in order that an autism-friendly environment be “created” around affected individuals. PMID:23459124

Computer-aided diagnosis of pulmonary diseases using x-ray darkfield radiography

NASA Astrophysics Data System (ADS)

Einarsdóttir, Hildur; Yaroshenko, Andre; Velroyen, Astrid; Bech, Martin; Hellbach, Katharina; Auweter, Sigrid; Yildirim, Önder; Meinel, Felix G.; Eickelberg, Oliver; Reiser, Maximilian; Larsen, Rasmus; Kjær Ersbøll, Bjarne; Pfeiffer, Franz

2015-12-01

In this work we develop a computer-aided diagnosis (CAD) scheme for classification of pulmonary disease for grating-based x-ray radiography. In addition to conventional transmission radiography, the grating-based technique provides a dark-field imaging modality, which utilizes the scattering properties of the x-rays. This modality has shown great potential for diagnosing early stage emphysema and fibrosis in mouse lungs in vivo. The CAD scheme is developed to assist radiologists and other medical experts to develop new diagnostic methods when evaluating grating-based images. The scheme consists of three stages: (i) automatic lung segmentation; (ii) feature extraction from lung shape and dark-field image intensities; (iii) classification between healthy, emphysema and fibrosis lungs. A study of 102 mice was conducted with 34 healthy, 52 emphysema and 16 fibrosis subjects. Each image was manually annotated to build an experimental dataset. System performance was assessed by: (i) determining the quality of the segmentations; (ii) validating emphysema and fibrosis recognition by a linear support vector machine using leave-one-out cross-validation. In terms of segmentation quality, we obtained an overlap percentage (Ω) 92.63  ±  3.65%, Dice Similarity Coefficient (DSC) 89.74  ±  8.84% and Jaccard Similarity Coefficient 82.39  ±  12.62%. For classification, the accuracy, sensitivity and specificity of diseased lung recognition was 100%. Classification between emphysema and fibrosis resulted in an accuracy of 93%, whilst the sensitivity was 94% and specificity 88%. In addition to the automatic classification of lungs, deviation maps created by the CAD scheme provide a visual aid for medical experts to further assess the severity of pulmonary disease in the lung, and highlights regions affected.

Computer aided lung cancer diagnosis with deep learning algorithms

NASA Astrophysics Data System (ADS)

Sun, Wenqing; Zheng, Bin; Qian, Wei

2016-03-01

Deep learning is considered as a popular and powerful method in pattern recognition and classification. However, there are not many deep structured applications used in medical imaging diagnosis area, because large dataset is not always available for medical images. In this study we tested the feasibility of using deep learning algorithms for lung cancer diagnosis with the cases from Lung Image Database Consortium (LIDC) database. The nodules on each computed tomography (CT) slice were segmented according to marks provided by the radiologists. After down sampling and rotating we acquired 174412 samples with 52 by 52 pixel each and the corresponding truth files. Three deep learning algorithms were designed and implemented, including Convolutional Neural Network (CNN), Deep Belief Networks (DBNs), Stacked Denoising Autoencoder (SDAE). To compare the performance of deep learning algorithms with traditional computer aided diagnosis (CADx) system, we designed a scheme with 28 image features and support vector machine. The accuracies of CNN, DBNs, and SDAE are 0.7976, 0.8119, and 0.7929, respectively; the accuracy of our designed traditional CADx is 0.7940, which is slightly lower than CNN and DBNs. We also noticed that the mislabeled nodules using DBNs are 4% larger than using traditional CADx, this might be resulting from down sampling process lost some size information of the nodules.

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

... HIV/AIDS Program, Part C Early Intervention Services Grant Under the Ryan White HIV/AIDS Program... persons living with HIV/AIDS, HRSA will be providing a one-time noncompetitive Part C funds award to DFHS... provided critical Ryan White HIV/AIDS Program (Part C) Early Intervention Services for over 427 persons...

Computer-aided diagnosis for osteoporosis using chest 3D CT images

NASA Astrophysics Data System (ADS)

Yoneda, K.; Matsuhiro, M.; Suzuki, H.; Kawata, Y.; Niki, N.; Nakano, Y.; Ohmatsu, H.; Kusumoto, M.; Tsuchida, T.; Eguchi, K.; Kaneko, M.

2016-03-01

The patients of osteoporosis comprised of about 13 million people in Japan and it is one of the problems the aging society has. In order to prevent the osteoporosis, it is necessary to do early detection and treatment. Multi-slice CT technology has been improving the three dimensional (3-D) image analysis with higher body axis resolution and shorter scan time. The 3-D image analysis using multi-slice CT images of thoracic vertebra can be used as a support to diagnose osteoporosis and at the same time can be used for lung cancer diagnosis which may lead to early detection. We develop automatic extraction and partitioning algorithm for spinal column by analyzing vertebral body structure, and the analysis algorithm of the vertebral body using shape analysis and a bone density measurement for the diagnosis of osteoporosis. Osteoporosis diagnosis support system obtained high extraction rate of the thoracic vertebral in both normal and low doses.

[30 years since the first AIDS cases were reported: history and the present part III].

PubMed

Brůčková, Marie

2012-12-01

The end of the article features the development of HIV/AIDS diagnosis and its implementation in the Czech Republic. The establishment of the National Reference Laboratory for AIDS (NRL AIDS) at the National Institute of Public Health late in 1985 is mentioned and its responsibilities as the methodology centre in the areas of HIV/AIDS laboratory diagnosis and epidemiology are specified. In cooperation with the respective experts, a pilot HIV/AIDS prevalence study was conducted in the Czech Republic. The general criteria for HIV/AIDS laboratory diagnosis were set for both blood transfusion service and microbiology laboratories. Early in 1987, mass screening of blood donors was introduced in blood transfusion centres and in the second half of the same year, the HIV screening program was extended to selected microbiology laboratories. The NRL AIDS established a unified data reporting system, analyzed the results at the national level, and since 1989, has been reporting the outcomes to the international AIDS, and later HIV/AIDS, reporting system. The NRL AIDS also participated in a number of international projects in the areas of the research and development of laboratory techniques and epidemiological surveillance.

Early Sonographic Diagnosis of Neurocutaneous Melanosis in a Newborn

PubMed Central

Yakut, Zeynep Ilerisoy; Bas, Ahmet Yagmur; Turan, Aynur; Demirel, Nihal; Demirkan, Tulin Hakan

2014-01-01

Neurocutaneous melanosis (NCM) is a rare, congenital non-hereditary syndrome, characterized by multiple pigmented nevi. We report the radiologic findings of a newborn who had extensive cutaneous melanotic nevus with satellite lesions in the brain. Ultrasound showed multiple echogenic foci in the cerebral parenchyma. Subsequent MRI confirmed these lesions as characteristic deposits of melanin. The infant was asymptomatic, but presence of risk factors such as malign transformation or neurological manifestations makes early diagnosis very important. We present this case to emphasize on the radiological findings of this syndrome in order to reach an early diagnosis. PMID:25780540

Early Diagnosis of Autism Spectrum Disorder: Stability and Change in Clinical Diagnosis and Symptom Presentation

ERIC Educational Resources Information Center

Guthrie, Whitney; Swineford, Lauren B.; Nottke, Charly; Wetherby, Amy M.

2013-01-01

Background: Although a diagnosis of autism spectrum disorder (ASD) appears to be stable in children as young as age three, few studies have explored stability of a diagnosis in younger children. Predictive value of diagnostic tools for toddlers and patterns of symptom change are important considerations for clinicians making early diagnoses. Most…

Magnetic resonance imaging for diagnosis of early Alzheimer's disease.

PubMed

Colliot, O; Hamelin, L; Sarazin, M

2013-10-01

A major challenge for neuroimaging is to contribute to the early diagnosis of Alzheimer's disease (AD). In particular, magnetic resonance imaging (MRI) allows detecting different types of structural and functional abnormalities at an early stage of the disease. Anatomical MRI is the most widely used technique and provides local and global measures of atrophy. The recent diagnostic criteria of "mild cognitive impairment due to AD" include hippocampal atrophy, which is considered a marker of neuronal injury. Advanced image analysis techniques generate automatic and reproducible measures both in the hippocampus and throughout the whole brain. Recent modalities such as diffusion-tensor imaging and resting-state functional MRI provide additional measures that could contribute to the early diagnosis but require further validation. Copyright © 2013 Elsevier Masson SAS. All rights reserved.

Development and pilot testing of a Decision Aid (DA) for women with early-stage breast cancer considering contralateral prophylactic mastectomy.

PubMed

Ager, B; Jansen, J; Porter, D; Phillips, K A; Glassey, R; Butow, P

2018-05-22

Describe the development, acceptability and feasibility of a Decision Aid (DA) for women with early-stage breast cancer (BC) at average contralateral breast cancer (CBC) risk considering contralateral prophylactic mastectomy (CPM). The DA was developed using the International Patient Decision Aid Standards (IPDAS) and the Ottawa Decision Support Framework. It provides evidence-based information about CPM in a booklet format combining text, graphs and images of surgical options. Twenty-three women with a history of early-stage breast cancer were interviewed in person or over the phone using a 'think aloud approach'. Framework analysis was used to code and analyse data. Twenty-three women participated in the study. Mean age of participants was 58.6 years and time since diagnosis ranged from 14 months to 21 years. Five women had CPM and eighteen had not. Women strongly endorsed the DA. Many felt validated by a section on appearance and found information on average risk of recurrence and metastases helpful, however, noted the importance of discussing personal risk with their surgeon. Many requested more information on surgery details (time taken, recovery) and costs of the different options. The DA was acceptable to women, including the format, content and proposed implementation strategies. Practical and financial issues are important to women in considering treatment options. Women appreciate information about CPM at diagnosis and emphasised the importance of discussing potential downsides of the procedure in addition to benefits. The DA was considered acceptable to facilitate such discussions. Copyright © 2018 Elsevier Ltd. All rights reserved.

Magnetic resonance imaging biomarkers for the early diagnosis of Alzheimer's disease: a machine learning approach.

PubMed

Salvatore, Christian; Cerasa, Antonio; Battista, Petronilla; Gilardi, Maria C; Quattrone, Aldo; Castiglioni, Isabella

2015-01-01

Determination of sensitive and specific markers of very early AD progression is intended to aid researchers and clinicians to develop new treatments and monitor their effectiveness, as well as to lessen the time and cost of clinical trials. Magnetic Resonance (MR)-related biomarkers have been recently identified by the use of machine learning methods for the in vivo differential diagnosis of AD. However, the vast majority of neuroimaging papers investigating this topic are focused on the difference between AD and patients with mild cognitive impairment (MCI), not considering the impact of MCI patients who will (MCIc) or not convert (MCInc) to AD. Morphological T1-weighted MRIs of 137 AD, 76 MCIc, 134 MCInc, and 162 healthy controls (CN) selected from the Alzheimer's disease neuroimaging initiative (ADNI) cohort, were used by an optimized machine learning algorithm. Voxels influencing the classification between these AD-related pre-clinical phases involved hippocampus, entorhinal cortex, basal ganglia, gyrus rectus, precuneus, and cerebellum, all critical regions known to be strongly involved in the pathophysiological mechanisms of AD. Classification accuracy was 76% AD vs. CN, 72% MCIc vs. CN, 66% MCIc vs. MCInc (nested 20-fold cross validation). Our data encourage the application of computer-based diagnosis in clinical practice of AD opening new prospective in the early management of AD patients.

Automatic CDR Estimation for Early Glaucoma Diagnosis

PubMed Central

Sarmiento, A.; Sanchez-Morillo, D.; Jiménez, S.; Alemany, P.

2017-01-01

Glaucoma is a degenerative disease that constitutes the second cause of blindness in developed countries. Although it cannot be cured, its progression can be prevented through early diagnosis. In this paper, we propose a new algorithm for automatic glaucoma diagnosis based on retinal colour images. We focus on capturing the inherent colour changes of optic disc (OD) and cup borders by computing several colour derivatives in CIE L∗a∗b∗ colour space with CIE94 colour distance. In addition, we consider spatial information retaining these colour derivatives and the original CIE L∗a∗b∗ values of the pixel and adding other characteristics such as its distance to the OD centre. The proposed strategy is robust due to a simple structure that does not need neither initial segmentation nor removal of the vascular tree or detection of vessel bends. The method has been extensively validated with two datasets (one public and one private), each one comprising 60 images of high variability of appearances. Achieved class-wise-averaged accuracy of 95.02% and 81.19% demonstrates that this automated approach could support physicians in the diagnosis of glaucoma in its early stage, and therefore, it could be seen as an opportunity for developing low-cost solutions for mass screening programs. PMID:29279773

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

... 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 Award to Ensure Continued HIV Primary Medical Care. SUMMARY: To prevent a lapse in comprehensive...

Ultrasound elastography in the early diagnosis of plantar fasciitis.

PubMed

Lee, So-Yeon; Park, Hee Jin; Kwag, Hyon Joo; Hong, Hyun-Pyo; Park, Hae-Won; Lee, Yong-Rae; Yoon, Kyung Jae; Lee, Yong-Taek

2014-01-01

The purpose of this study was to investigate whether ultrasound (US) elastography is useful for the early diagnosis of plantar fasciitis. We retrospectively reviewed US elastography findings of 18 feet with a clinical history and physical examination highly suggestive of plantar fasciitis but with normal findings on conventional US imaging as well as 18 asymptomatic feet. Softening of the plantar fascia was significantly greater in the patient than in the control group [Reviewers 1 and 2: 89% (16/18) vs. 50% (9/18), P=.027, respectively]. US elastography is useful for the early diagnosis of plantar fasciitis. Copyright © 2014 Elsevier Inc. All rights reserved.

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

... HIV/AIDS Program Part C Early Intervention Services Grant Under the Ryan White HIV/AIDS Program AGENCY...: Notice of Ryan White HIV/AIDS Program Part C Early Intervention Services One-Time Noncompetitive Award To Ensure Continued HIV Primary Medical Care. SUMMARY: To prevent a lapse in comprehensive primary care...

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

... 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 Award to Ensure Continued HIV Primary Medical Care. SUMMARY: To prevent a lapse in comprehensive primary...

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

... 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 Award to Ensure Continued HIV Primary Medical Care. SUMMARY: To prevent a lapse in comprehensive primary...

Computer-aided diagnosis of liver tumors on computed tomography images.

PubMed

Chang, Chin-Chen; Chen, Hong-Hao; Chang, Yeun-Chung; Yang, Ming-Yang; Lo, Chung-Ming; Ko, Wei-Chun; Lee, Yee-Fan; Liu, Kao-Lang; Chang, Ruey-Feng

2017-07-01

Liver cancer is the tenth most common cancer in the USA, and its incidence has been increasing for several decades. Early detection, diagnosis, and treatment of the disease are very important. Computed tomography (CT) is one of the most common and robust imaging techniques for the detection of liver cancer. CT scanners can provide multiple-phase sequential scans of the whole liver. In this study, we proposed a computer-aided diagnosis (CAD) system to diagnose liver cancer using the features of tumors obtained from multiphase CT images. A total of 71 histologically-proven liver tumors including 49 benign and 22 malignant lesions were evaluated with the proposed CAD system to evaluate its performance. Tumors were identified by the user and then segmented using a region growing algorithm. After tumor segmentation, three kinds of features were obtained for each tumor, including texture, shape, and kinetic curve. The texture was quantified using 3 dimensional (3-D) texture data of the tumor based on the grey level co-occurrence matrix (GLCM). Compactness, margin, and an elliptic model were used to describe the 3-D shape of the tumor. The kinetic curve was established from each phase of tumor and represented as variations in density between each phase. Backward elimination was used to select the best combination of features, and binary logistic regression analysis was used to classify the tumors with leave-one-out cross validation. The accuracy and sensitivity for the texture were 71.82% and 68.18%, respectively, which were better than for the shape and kinetic curve under closed specificity. Combining all of the features achieved the highest accuracy (58/71, 81.69%), sensitivity (18/22, 81.82%), and specificity (40/49, 81.63%). The Az value of combining all features was 0.8713. Combining texture, shape, and kinetic curve features may be able to differentiate benign from malignant tumors in the liver using our proposed CAD system. Copyright © 2017 Elsevier B.V. All

Early Indicators of Autism Spectrum Disorders

ERIC Educational Resources Information Center

Muratori, Filippo

2008-01-01

In the absence of a neurological or genetic marker to aid in the early diagnosis of autism, clinicians can use infant behaviors and parental responses during the child's first year of life to determine the child's risk of an autistic disorder. The author presents 12 questions for clinicians to ask parents about their child's early development. An…

[AIDS-related early mortality in Mexico between 2008 and 2012].

PubMed

Silverman-Retana, Omar; Bautista-Arredondo, Sergio; Serván-Mori, Edson; Lozano, Rafael

2015-01-01

To describe the distribution of AIDS-related mortality according to the time of occurrence since entry to the System for the Administration, Logistics and Surveillance of Antiretrovirals (SALVAR, in Spanish), among users of Ministry of Health facilities in Mexico. Descriptive analysis of AIDS mortality and the related clinical and demographic profile of 41847 patients registered in SALVAR. 3195 patients (8.1%) died within the study period, 59% of these deaths occurred within six months after treatment initiation. Among those patients, 87.3% were diagnosed late, given their CD4 levels (CD4cel<200 cel/ml³). Our results underscore the need to strengthen programs aimed to increase opportune HIV diagnosis and linkage to care, as a key component of universal access policy to antiretroviral treatment in Mexico.

Acute gall bladder perforation--a dilemma in early diagnosis.

PubMed Central

Ong, C L; Wong, T H; Rauff, A

1991-01-01

Gall bladder perforation is a rare complication of cholecystitis. A definitive diagnosis is uncommon before surgery and the morbidity and mortality associated with this condition are high. We report six patients with gall bladder perforation to show the difficulty of making an early diagnosis. The history and the clinical findings of these patients are reviewed to highlight diagnostic pitfalls. PMID:1885081

Early Diagnosis of Fibrodysplasia Ossificans Progressiva

PubMed Central

Kaplan, Frederick S.; Xu, Meiqi; Glaser, David L.; Collins, Felicity; Connor, Michael; Kitterman, Joseph; Sillence, David; Zackai, Elaine; Ravitsky, Vardit; Zasloff, Michael; Ganguly, Arupa; Shore, Eileen M.

2012-01-01

BACKGROUND Fibrodysplasia ossificans progressiva is a rare and disabling genetic condition characterized by congenital malformation of the great toes and by progressive heterotopic ossification in specific anatomic patterns. Most patients with fibrodys-plasia ossificans progressiva are misdiagnosed early in life before the appearance of heterotopic ossification and undergo diagnostic procedures that can cause lifelong disability. Recently, the genetic cause of fibrodysplasia ossificans progressiva was identified, and definitive genetic testing for fibrodysplasia ossificans progressiva is now available before the appearance of heterotopic ossification. METHODS We recently evaluated 7 children for diagnosis of fibrodysplasia ossificans progressiva before the onset of heterotopic ossification. A medical history, physical examination, and skeletal survey were obtained on all of the patients, as well as clinical genetic testing for the canonical fibrodysplasia ossificans progressiva mutation. RESULTS All 7 of the children (4 girls and 3 boys; ages 3 months to 6 years) had congenital malformations of the great toes, but none had radiographic evidence of heterotopic ossification at the time of evaluation. Five of the 7 children had soft tissue lesions of the neck and back, suggestive of early fibrodysplasia ossificans progressiva flare-ups, 3 of whom had undergone invasive diagnostic procedures that exacerbated their condition. Two children had no history or signs of soft tissue swelling or flare-ups. DNA sequence analysis found that all 7 of the children had the recurrent fibrodysplasia ossificans progressiva missense mutation, a single nucleotide substitution (c.617G>A) at codon 206 in the glycine-serine activation domain of activin receptor IA, a bone morphogenetic protein type 1 receptor. CONCLUSION Clinical suspicion of fibrodysplasia ossificans progressiva early in life on the basis of malformed great toes can lead to early clinical diagnosis, confirmatory

Predictable Locations Aid Early Object Name Learning

PubMed Central

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 three experiments show that infants learn names for objects when those objects have predictable rather than varied locations, that infants who anticipate the location of named objects better learn those object names, and that infants integrate experiences that are separated in time but share a common location. Taken together, these results suggest that localized attention, cued attention, and spatial indexing are an inter-related set of processes in young children that aid in the early building of coherent object representations. The relevance of the experimental results and spatial attention for everyday word learning are discussed. PMID:22989872

Techniques for early diagnosis of oral squamous cell carcinoma: Systematic review

PubMed Central

Carreras-Torras, Clàudia

2015-01-01

Background and objectives The diagnosis of early oral potentially malignant disorders (OPMD) and oral squamous cell carcinoma (OSCC) is of paramount clinical importance given the mortality rate of late stage disease. The aim of this study is to review the literature to assess the current situation and progress in this area. Material and Methods A search in Cochrane and PubMed (January 2006 to December 2013) has been used with the key words “squamous cell carcinoma”, “early diagnosis” “oral cavity”, “Potentially Malignant Disorders” y “premalignant lesions”. The inclusion criteria were the use of techniques for early diagnosis of OSCC and OPMD, 7 years aged articles and publications written in English, French or Spanish. The exclusion criteria were case reports and studies in other languages. Results Out of the 89 studies obtained initially from the search 60 articles were selected to be included in the systematic review: 1 metaanalysis, 17 systematic reviews, 35 prospective studies, 5 retrospective studies, 1 consensus and 1 semi-structured interviews. Conclusions The best diagnostic technique is that which we have sufficient experience and training. Definitely tissue biopsy and histopathological examination should remain the gold standard for oral cancer diagnose. In this systematic review it has not been found sufficient scientific evidence on the majority of proposed techniques for early diagnosis of OSCC, therefore more extensive and exhaustive studies are needed. Key words: Squamous cell carcinoma, early diagnosis, oral cavity, potentially malignant disorders, premalignant lesions. PMID:25662554

Pregnancy outcomes in women with an early diagnosis of gestational diabetes mellitus.

PubMed

Feghali, Maisa N; Abebe, Kaleab Z; Comer, Diane M; Caritis, Steve; Catov, Janet M; Scifres, Christina M

2018-04-01

To examine pregnancy outcomes in women with gestational diabetes mellitus (GDM) based on the timing of diagnosis. We compared demographics, blood sugars and outcomes between women diagnosed before (n = 167) or after 24 weeks' gestation (n = 1202) in a single hospital between 2009 and 2012. Because early screening is risk-based we used propensity score modelling and conditional logistic regression to account for systematic differences. Women diagnosed with GDM before 24 weeks were more likely to be obese and they were less likely to have excess gestational weight gain (35 vs. 45%, p = 0.04). Early diagnosis was associated with more frequent therapy including glyburide (65 vs. 56%, p < 0.001) and insulin (19 vs 6%, p < 0.001). After propensity score modelling and accounting for covariates, early diagnosis was associated with an increased risk for macrosomia (OR 2, 95% 1-4.15, p = 0.0498). Early diagnosis was not associated with other adverse outcomes. In a subgroup analysis comparing women treated with glyburide prior to 24 weeks compared to those diagnosed after 24 weeks, early diagnosis in women treated with glyburide was associated with an increased risk for macrosomia (OR 2.3, 95% CI 1.1-5.4, P = 0.04). Women diagnosed with GDM before 24 weeks have unique features, are at risk for adverse outcomes, and require targeted approaches to therapy. Copyright © 2018 Elsevier B.V. All rights reserved.

Efficient mining of association rules for the early diagnosis of Alzheimer's disease

NASA Astrophysics Data System (ADS)

Chaves, R.; Górriz, J. M.; Ramírez, J.; Illán, I. A.; Salas-Gonzalez, D.; Gómez-Río, M.

2011-09-01

In this paper, a novel technique based on association rules (ARs) is presented in order to find relations among activated brain areas in single photon emission computed tomography (SPECT) imaging. In this sense, the aim of this work is to discover associations among attributes which characterize the perfusion patterns of normal subjects and to make use of them for the early diagnosis of Alzheimer's disease (AD). Firstly, voxel-as-feature-based activation estimation methods are used to find the tridimensional activated brain regions of interest (ROIs) for each patient. These ROIs serve as input to secondly mine ARs with a minimum support and confidence among activation blocks by using a set of controls. In this context, support and confidence measures are related to the proportion of functional areas which are singularly and mutually activated across the brain. Finally, we perform image classification by comparing the number of ARs verified by each subject under test to a given threshold that depends on the number of previously mined rules. Several classification experiments were carried out in order to evaluate the proposed methods using a SPECT database that consists of 41 controls (NOR) and 56 AD patients labeled by trained physicians. The proposed methods were validated by means of the leave-one-out cross validation strategy, yielding up to 94.87% classification accuracy, thus outperforming recent developed methods for computer aided diagnosis of AD.

A handheld computer-aided diagnosis system and simulated analysis

NASA Astrophysics Data System (ADS)

Su, Mingjian; Zhang, Xuejun; Liu, Brent; Su, Kening; Louie, Ryan

2016-03-01

This paper describes a Computer Aided Diagnosis (CAD) system based on cellphone and distributed cluster. One of the bottlenecks in building a CAD system for clinical practice is the storage and process of mass pathology samples freely among different devices, and normal pattern matching algorithm on large scale image set is very time consuming. Distributed computation on cluster has demonstrated the ability to relieve this bottleneck. We develop a system enabling the user to compare the mass image to a dataset with feature table by sending datasets to Generic Data Handler Module in Hadoop, where the pattern recognition is undertaken for the detection of skin diseases. A single and combination retrieval algorithm to data pipeline base on Map Reduce framework is used in our system in order to make optimal choice between recognition accuracy and system cost. The profile of lesion area is drawn by doctors manually on the screen, and then uploads this pattern to the server. In our evaluation experiment, an accuracy of 75% diagnosis hit rate is obtained by testing 100 patients with skin illness. Our system has the potential help in building a novel medical image dataset by collecting large amounts of gold standard during medical diagnosis. Once the project is online, the participants are free to join and eventually an abundant sample dataset will soon be gathered enough for learning. These results demonstrate our technology is very promising and expected to be used in clinical practice.

Computer-aided diagnosis software for vulvovaginal candidiasis detection from Pap smear images.

PubMed

Momenzadeh, Mohammadreza; Vard, Alireza; Talebi, Ardeshir; Mehri Dehnavi, Alireza; Rabbani, Hossein

2018-01-01

Vulvovaginal candidiasis (VVC) is a common gynecologic infection and it occurs when there is overgrowth of the yeast called Candida. VVC diagnosis is usually done by observing a Pap smear sample under a microscope and searching for the conidium and mycelium components of Candida. This manual method is time consuming, subjective and tedious. Any diagnosis tools that detect VVC, semi- or full-automatically, can be very helpful to pathologists. This article presents a computer aided diagnosis (CAD) software to improve human diagnosis of VVC from Pap smear samples. The proposed software is designed based on phenotypic and morphology features of the Candida in Pap smear sample images. This software provide a user-friendly interface which consists of a set of image processing tools and analytical results that helps to detect Candida and determine severity of illness. The software was evaluated on 200 Pap smear sample images and obtained specificity of 91.04% and sensitivity of 92.48% to detect VVC. As a result, the use of the proposed software reduces diagnostic time and can be employed as a second objective opinion for pathologists. © 2017 Wiley Periodicals, Inc.

Imperceptible watermarking for security of fundus images in tele-ophthalmology applications and computer-aided diagnosis of retina diseases.

PubMed

Singh, Anushikha; Dutta, Malay Kishore

2017-12-01

The authentication and integrity verification of medical images is a critical and growing issue for patients in e-health services. Accurate identification of medical images and patient verification is an essential requirement to prevent error in medical diagnosis. The proposed work presents an imperceptible watermarking system to address the security issue of medical fundus images for tele-ophthalmology applications and computer aided automated diagnosis of retinal diseases. In the proposed work, patient identity is embedded in fundus image in singular value decomposition domain with adaptive quantization parameter to maintain perceptual transparency for variety of fundus images like healthy fundus or disease affected image. In the proposed method insertion of watermark in fundus image does not affect the automatic image processing diagnosis of retinal objects & pathologies which ensure uncompromised computer-based diagnosis associated with fundus image. Patient ID is correctly recovered from watermarked fundus image for integrity verification of fundus image at the diagnosis centre. The proposed watermarking system is tested in a comprehensive database of fundus images and results are convincing. results indicate that proposed watermarking method is imperceptible and it does not affect computer vision based automated diagnosis of retinal diseases. Correct recovery of patient ID from watermarked fundus image makes the proposed watermarking system applicable for authentication of fundus images for computer aided diagnosis and Tele-ophthalmology applications. Copyright © 2017 Elsevier B.V. All rights reserved.

Nanotechnology-Based Detection of Novel microRNAs for Early Diagnosis of Prostate Cancer

DTIC Science & Technology

2017-08-01

AWARD NUMBER: W81XWH-15-1-0157 TITLE: Nanotechnology -Based Detection of Novel microRNAs for Early Diagnosis of Prostate Cancer PRINCIPAL...TITLE AND SUBTITLE Nanotechnology -Based Detection of Novel microRNAs for Early Diagnosis of Prostate Cancer 5a. CONTRACT NUMBER 5b. GRANT NUMBER...identify novel differentially expressed miRNAs in the body fluids (blood, urine, etc.) for an early detection of PCa. Advances in nanotechnology and

Help-seeking intentions for early dementia diagnosis in a sample of Irish adults.

PubMed

Devoy, Susan; Simpson, Ellen Elizabeth Anne

2017-08-01

To identify factors that may increase intentions to seek help for an early dementia diagnosis. Early dementia diagnosis in Ireland is low, reducing the opportunity for intervention, which can delay progression, reduce psychological distress and increase social supports. Using the theory of planned behaviour (TPB), and a mixed methods approach, three focus groups were conducted (N = 22) to illicit attitudes and beliefs about help seeking for an early dementia diagnosis. The findings informed the development of the Help Seeking Intentions for Early Dementia Diagnosis (HSIEDD) questionnaire which was piloted and then administered to a sample of community dwelling adults from Dublin and Kildare (N = 95). Content analysis revealed participants held knowledge of the symptoms of dementia but not about available interventions. Facilitators of help seeking were family, friends and peers alongside well informed health professionals. Barriers to seeking help were a lack of knowledge, fear, loss, stigma and inaccessible services. The quantitative findings suggest the TPB constructs account for almost 28% of the variance in intentions to seek help for an early diagnosis of dementia, after controlling for sociodemographic variables and knowledge of dementia. In the final step of the regression analysis, the main predictors of help seeking were knowledge of dementia and subjective norm, accounting for 6% and 8% of the variance, respectively. Future interventions should aim to increase awareness of the support available to those experiencing early memory problems, and should highlight the supportive role that family, friends, peers and health professionals could provide.

Combining destination diversion decisions and critical in-flight event diagnosis in computer aided testing of pilots

NASA Technical Reports Server (NTRS)

Rockwell, T. H.; Giffin, W. C.; Romer, D. J.

1984-01-01

Rockwell and Giffin (1982) and Giffin and Rockwell (1983) have discussed the use of computer aided testing (CAT) in the study of pilot response to critical in-flight events. The present investigation represents an extension of these earlier studies. In testing pilot responses to critical in-flight events, use is made of a Plato-touch CRT system operating on a menu based format. In connection with the typical diagnostic problem, the pilot was presented with symptoms within a flight scenario. In one problem, the pilot has four minutes for obtaining the information which is needed to make a diagnosis of the problem. In the reported research, the attempt has been made to combine both diagnosis and diversion scenario into a single computer aided test. Tests with nine subjects were conducted. The obtained results and their significance are discussed.

Controversies in the diagnosis and treatment of early cutaneous melanoma

PubMed Central

Orzan, OA; Șandru, A; Jecan, CR

2015-01-01

Cutaneous melanoma (CM) is a disease with an unpredictable evolution mainly due to its high metastatic ability. The steadily increasing incidence and the poor outcome in advanced stages made this cancer an interesting field for many research groups. Given that CM is a curable disease in early stages, efforts have been made to detect it as soon as possible, which led to the diversification and refining of diagnosis methods and therapies. But, as the data from trials have been published, doubts about the indications and efficacy of established treatments have arisen. In fact, there is probably no single aspect of early CM that has not given birth to controversy. This article intends to present the current disputes regarding the early detection, diagnosis, treatment and postoperative follow-up of patients with localized CM. After analyzing both pros and cons, several conclusions were drawn, that reflect our experience in managing patients with early CM. PMID:25866567

Computer-aided diagnosis of HIE based on segmentation of MRI

NASA Astrophysics Data System (ADS)

Sun, Ziguang; Li, Chungui; Wang, Qin

2009-10-01

Computer-aided diagnosis has become one of the major research subjects in medical imaging and diagnostic radiology. Hypoxic-ischemic encephalopathy (HIE), remains a serious condition that causes significant mortality and long-term morbidity to neonates. We adopt self-organizing feature maps to segment the tissues, such as white matter and grey matter in the magnetic resonance images. The borderline between white matter and grey matter can be found and the doubtful regions along with the borderline can be localized, then the feature in doubtful regions can be quantified. The method can assist doctors to easily diagnose whether a neonate is ill with mild HIE.

Aided diagnosis methods of breast cancer based on machine learning

NASA Astrophysics Data System (ADS)

Zhao, Yue; Wang, Nian; Cui, Xiaoyu

2017-08-01

In the field of medicine, quickly and accurately determining whether the patient is malignant or benign is the key to treatment. In this paper, K-Nearest Neighbor, Linear Discriminant Analysis, Logistic Regression were applied to predict the classification of thyroid,Her-2,PR,ER,Ki67,metastasis and lymph nodes in breast cancer, in order to recognize the benign and malignant breast tumors and achieve the purpose of aided diagnosis of breast cancer. The results showed that the highest classification accuracy of LDA was 88.56%, while the classification effect of KNN and Logistic Regression were better than that of LDA, the best accuracy reached 96.30%.

The persistent problem of late HIV diagnosis in people with AIDS: a population-based study in Italy, 1999-2013.

PubMed

Taborelli, M; Virdone, S; Camoni, L; Regine, V; Zucchetto, A; Frova, L; Grande, E; Boros, S; Dal Maso, L; De Paoli, P; Serraino, D; Suligoi, B

2017-01-01

Despite the wide accessibility to free human immunodeficiency virus (HIV) testing and combined antiretroviral therapy (cART), late HIV diagnosis remains common with severe consequences at individual and population level. This study aimed to describe trends of late HIV testing and to identify their determinants in the late cART era in Italy. We conducted a population-based, nationwide analysis of the Italian National AIDS Registry data (AIDS - acquired immune deficiency syndrome) for the years 1999-2013. Late testers (LTs) were defined as people with AIDS (PWA) whose first HIV-positive test preceded AIDS diagnosis by 3 months or less. Odds ratios (ORs) with the corresponding 95% confidence intervals (CIs) were estimated to examine factors associated with being LTs. Joinpoint analysis was used to estimate annual percent changes (APCs) of LTs' proportion over time. Among 20,753 adult PWA, 50.8% were LTs. Italian PWA showed a lower proportion of LTs than non-Italian PWA (46.5% vs 68.2%). Among Italian PWA, the odds of being LTs was higher in men than in women (OR = 2.62, 95% CI: 2.38-2.90); in the age groups below 35 years and over 49 years at diagnosis (OR = 1.24, 95% CI: 1.12-1.37 and OR = 1.51, 95% CI: 1.38-1.67, respectively) vs PWA aged 35-49 years; and in those infected through sexual contact as compared with injecting drug use (OR = 13.34, 95% CI: 12.06-14.76 for heterosexual contact and OR = 8.13, 95% CI: 7.30-9.06 for male-to-male sexual contact). The proportion of LTs increased over time among Italians, especially in the latest period (APC 2006-2013  = 5.3, 95% CI: 3.8-6.9). The LTs' proportion resulted higher, though stable, among PWA aged ≥50 years. Conversely, an increasing trend was observed among PWA aged 18-34 years (APC = 5.3, 95% CI: 4.5-6.1). The LTs' proportion was persistently higher among PWA who acquired HIV infection through sexual contact, even if a marked increase among injecting drug users was observed after 2005 (APC = 11

Which medical and social decision topics are important after early diagnosis of Alzheimer's Disease from the perspectives of people with Alzheimer's Disease, spouses and professionals?

PubMed

Bronner, Katharina; Perneczky, Robert; McCabe, Rose; Kurz, Alexander; Hamann, Johannes

2016-03-08

The relevance of early decision making will rise with increasing availability of early detection of Alzheimer's disease (AD) using brain imaging or biomarkers. Five people with mild AD, six relatives and 13 healthcare professionals with experience in the management of AD were interviewed in a qualitative study regarding medical and social decision topics that emerge after early diagnosis of Alzheimer's disease. Medical treatment, assistance in everyday life and legal issues emerged as the main decision topics after an early diagnosis of AD. People with AD mostly got in contact with the health and social care system through the initiative of their spouses. They were usually aware of their illness and most received antidementia drugs and/or behavioural interventions. Following diagnosis people with AD received support by their spouses. Healthcare professionals were aware of the risk of excessive demand on relatives due to supporting their family member with AD. In the opinion of healthcare professionals legal issues should be arranged in time before patients lose their decisional capacity. In addition, people with AD and spouses reported various coping strategies, in particular "carry on as normal" after diagnosis but mostly are reluctant to actively plan for future stages of the disease. Due to the common desire to "carry on as usual" after a diagnosis of AD, many people with AD and spouses may miss the opportunity to discuss and decide on important medical and social topics. A structured approach e.g. a decision aid might support people with AD and spouses in their decision making process and thereby preserve persons' with AD autonomy before they lose the capacity in decision-making.

[Crusted scabies in HIV/AIDS infected patients. Report of 15 cases].

PubMed

Tirado-Sánchez, Andrés; Bonifaz, Alexandro; Montes de Oca-Sánchez, Griselda; Araiza-Santibañez, Javier; Ponce-Olivera, Rosa María

2016-01-01

Crusted (Norwegian) scabies is a rare disease that occurs in patients with compromised immune system like patients with HIV/AIDS. We report 15 cases of crusted scabies in patients with HIV/AIDS successfully treated with oral ivermectin. The mean age of the patients was 43.7±8.06 and the diagnosis was made at a median of 5 months. All patients were diagnosed with HIV/AIDS treatment with antiretroviral therapy. Patients were treated with repeated doses of oral ivermectin with different schemes with good tolerance and efficacy with full resolution and without recurrence. Ivermectin is the treatment of choice for crusted scabies; it is tolerable and accessible to the patient. Immunosuppressed patients are those with the highest risk of acquiring that disease; we highlight the importance of lesion scraping to perform a correct and early diagnosis.

Pulmonary Sequestration: Early Diagnosis and Management

PubMed Central

Wani, Sajad A.; Mufti, Gowher N.; Bhat, Nisar A.; Baba, Ajaz A.

2015-01-01

Intralobar sequestration is characterized by aberrant formation of nonfunctional lung tissue that has no communication with the bronchial tree and receives systemic arterial blood supply. Failure of earlier diagnosis can lead to recurrent pneumonia, failure to thrive, multiple hospital admissions, and more morbidity. The aim of this case report is to increase the awareness about the lung sequestration, to diagnose and treat it early, so that it is resected before repeated infection, and prevent the morbidity and mortality. PMID:26273485

New Diagnostic Aides for Melanoma

PubMed Central

Ferris, Laura K.; Harris, Ryan J.

2012-01-01

Synopsis Detection of melanoma at an early stage is crucial to improving survival rates in melanoma. Accurate diagnosis by current techniques including dermatoscopy remains difficult, and new tools are needed to improve our diagnostic abilities. This article discusses recent advances in diagnostic techniques including confocal scanning laser microscopy, MelaFind, Siascopy, noninvasive genomic detection, as well as other future possibilities to aid in diagnosing melanoma. Advantages and barriers to implementation of the various technologies are discussed as well. PMID:22800557

[Early clinical diagnosis of acanthamoeba keratitis. A study of 70 eyes].

PubMed

Bernauer, W; Duguid, G I; Dart, J K

1996-05-01

Acanthamoeba keratitis is an uncommon condition which is usually associated with contact lens wear. The use of home made saline and poor hygiene are important risk factors. Early diagnosis is crucial since these cases respond well to medical therapy. The purpose of this paper is to describe and demonstrate early clinical signs. Between September 1992 and October 1994, 70 cases of acanthamoeba keratitis, one of them bilateral, were prospectively monitored at Moorfields Eye Hospital in London. A database of all patients was set up and the clinical findings, diagnostic methods, therapeutic interventions and the outcome were recorded. 66 patients (96%) were contact lens wearers, 64 of them (97%) wore soft lenses. The mean interval between first symptoms and correct diagnosis was 42%. The most frequent initial diagnoses were "unclear keratoconjunctivitis" and "herpetic keratitis". Early corneal findings included punctate keratopathy (n = 14; 20%), pseudodendrites (n = 4; 6%), epithelial infiltrates (n = 17; 24%), diffuse or focal sub-epithelial infiltrates (n = 36; 51%) and radial keratoneuritis (n = 5; 7%). Ring infiltrates (n = 13; 18%) and corneal ulceration (n = 13) were late signs. When the above corneal findings are observed, particularly in contact lens wearers, the diagnosis of acanthamoeba keratitis should be considered. The diagnosis of "herpetic keratitis" in association with contact lens wear should be encountered with scepticism.

Computer aided diagnosis of diabetic peripheral neuropathy

NASA Astrophysics Data System (ADS)

Chekh, Viktor; Soliz, Peter; McGrew, Elizabeth; Barriga, Simon; Burge, Mark; Luan, Shuang

2014-03-01

Diabetic peripheral neuropathy (DPN) refers to the nerve damage that can occur in diabetes patients. It most often affects the extremities, such as the feet, and can lead to peripheral vascular disease, deformity, infection, ulceration, and even amputation. The key to managing diabetic foot is prevention and early detection. Unfortunately, current existing diagnostic techniques are mostly based on patient sensations and exhibit significant inter- and intra-observer differences. We have developed a computer aided diagnostic (CAD) system for diabetic peripheral neuropathy. The thermal response of the feet of diabetic patients following cold stimulus is captured using an infrared camera. The plantar foot in the images from a thermal video are segmented and registered for tracking points or specific regions. The temperature recovery of each point on the plantar foot is extracted using our bio-thermal model and analyzed. The regions that exhibit abnormal ability to recover are automatically identified to aid the physicians to recognize problematic areas. The key to our CAD system is the segmentation of infrared video. The main challenges for segmenting infrared video compared to normal digital video are (1) as the foot warms up, it also warms up the surrounding, creating an ever changing contrast; and (2) there may be significant motion during imaging. To overcome this, a hybrid segmentation algorithm was developed based on a number of techniques such as continuous max-flow, model based segmentation, shape preservation, convex hull, and temperature normalization. Verifications of the automatic segmentation and registration using manual segmentation and markers show good agreement.

Early diagnosis of acute coronary syndrome.

PubMed

Katus, Hugo; Ziegler, André; Ekinci, Okan; Giannitsis, Evangelos; Stough, Wendy Gattis; Achenbach, Stephan; Blankenberg, Stefan; Brueckmann, Martina; Collinson, Paul; Comaniciu, Dorin; Crea, Filippo; Dinh, Wilfried; Ducrocq, Grégory; Flachskampf, Frank A; Fox, Keith A A; Friedrich, Matthias G; Hebert, Kathy A; Himmelmann, Anders; Hlatky, Mark; Lautsch, Dominik; Lindahl, Bertil; Lindholm, Daniel; Mills, Nicholas L; Minotti, Giorgio; Möckel, Martin; Omland, Torbjørn; Semjonow, Véronique

2017-11-01

The diagnostic evaluation of acute chest pain has been augmented in recent years by advances in the sensitivity and precision of cardiac troponin assays, new biomarkers, improvements in imaging modalities, and release of new clinical decision algorithms. This progress has enabled physicians to diagnose or rule-out acute myocardial infarction earlier after the initial patient presentation, usually in emergency department settings, which may facilitate prompt initiation of evidence-based treatments, investigation of alternative diagnoses for chest pain, or discharge, and permit better utilization of healthcare resources. A non-trivial proportion of patients fall in an indeterminate category according to rule-out algorithms, and minimal evidence-based guidance exists for the optimal evaluation, monitoring, and treatment of these patients. The Cardiovascular Round Table of the ESC proposes approaches for the optimal application of early strategies in clinical practice to improve patient care following the review of recent advances in the early diagnosis of acute coronary syndrome. The following specific 'indeterminate' patient categories were considered: (i) patients with symptoms and high-sensitivity cardiac troponin <99th percentile; (ii) patients with symptoms and high-sensitivity troponin <99th percentile but above the limit of detection; (iii) patients with symptoms and high-sensitivity troponin >99th percentile but without dynamic change; and (iv) patients with symptoms and high-sensitivity troponin >99th percentile and dynamic change but without coronary plaque rupture/erosion/dissection. Definitive evidence is currently lacking to manage these patients whose early diagnosis is 'indeterminate' and these areas of uncertainty should be assigned a high priority for research. Published on behalf of the European Society of Cardiology. All rights reserved. © The Author 2017. For permissions, please email: journals.permissions@oup.com.

Cloud-Based NoSQL Open Database of Pulmonary Nodules for Computer-Aided Lung Cancer Diagnosis and Reproducible Research.

PubMed

Ferreira Junior, José Raniery; Oliveira, Marcelo Costa; de Azevedo-Marques, Paulo Mazzoncini

2016-12-01

Lung cancer is the leading cause of cancer-related deaths in the world, and its main manifestation is pulmonary nodules. Detection and classification of pulmonary nodules are challenging tasks that must be done by qualified specialists, but image interpretation errors make those tasks difficult. In order to aid radiologists on those hard tasks, it is important to integrate the computer-based tools with the lesion detection, pathology diagnosis, and image interpretation processes. However, computer-aided diagnosis research faces the problem of not having enough shared medical reference data for the development, testing, and evaluation of computational methods for diagnosis. In order to minimize this problem, this paper presents a public nonrelational document-oriented cloud-based database of pulmonary nodules characterized by 3D texture attributes, identified by experienced radiologists and classified in nine different subjective characteristics by the same specialists. Our goal with the development of this database is to improve computer-aided lung cancer diagnosis and pulmonary nodule detection and classification research through the deployment of this database in a cloud Database as a Service framework. Pulmonary nodule data was provided by the Lung Image Database Consortium and Image Database Resource Initiative (LIDC-IDRI), image descriptors were acquired by a volumetric texture analysis, and database schema was developed using a document-oriented Not only Structured Query Language (NoSQL) approach. The proposed database is now with 379 exams, 838 nodules, and 8237 images, 4029 of them are CT scans and 4208 manually segmented nodules, and it is allocated in a MongoDB instance on a cloud infrastructure.

A Possible Contra-Indication for Early Diagnosis of Autistic Spectrum Conditions: Impact on Parenting Stress

ERIC Educational Resources Information Center

Osborne, Lisa A.; McHugh, Louise; Saunders, Jo; Reed, Phil

2008-01-01

The current study investigated the impact of diagnosis of Autistic Spectrum Conditions (ASCs) in children on parenting stress. While there is increasing pressure to provide early diagnosis of ASC, there is a lack of evidence relating to the impact of early diagnosis on the parents. The parents of 85 children with ASC completed measures of their…

Computer-Aided Diagnosis of Micro-Malignant Melanoma Lesions Applying Support Vector Machines.

PubMed

Jaworek-Korjakowska, Joanna

2016-01-01

Background. One of the fatal disorders causing death is malignant melanoma, the deadliest form of skin cancer. The aim of the modern dermatology is the early detection of skin cancer, which usually results in reducing the mortality rate and less extensive treatment. This paper presents a study on classification of melanoma in the early stage of development using SVMs as a useful technique for data classification. Method. In this paper an automatic algorithm for the classification of melanomas in their early stage, with a diameter under 5 mm, has been presented. The system contains the following steps: image enhancement, lesion segmentation, feature calculation and selection, and classification stage using SVMs. Results. The algorithm has been tested on 200 images including 70 melanomas and 130 benign lesions. The SVM classifier achieved sensitivity of 90% and specificity of 96%. The results indicate that the proposed approach captured most of the malignant cases and could provide reliable information for effective skin mole examination. Conclusions. Micro-melanomas due to the small size and low advancement of development create enormous difficulties during the diagnosis even for experts. The use of advanced equipment and sophisticated computer systems can help in the early diagnosis of skin lesions.

Early complications in bariatric surgery: incidence, diagnosis and treatment.

PubMed

Santo, Marco Aurelio; Pajecki, Denis; Riccioppo, Daniel; Cleva, Roberto; Kawamoto, Flavio; Cecconello, Ivan

2013-01-01

Bariatric surgery has proven to be the most effective method of treating severe obesity. Nevertheless, the acceptance of bariatric surgery is still questioned. The surgical complications observed in the early postoperative period following surgeries performed to treat severe obesity are similar to those associated with other major surgeries of the gastrointestinal tract. However, given the more frequent occurrence of medical comorbidities, these patients require special attention in the early postoperative follow-up. Early diagnosis and appropriate treatment of these complications are directly associated with a greater probability of control. The medical records of 538 morbidly obese patients who underwent surgical treatment (Roux-en-Y gastric bypass surgery) were reviewed. Ninety-three (17.2%) patients were male and 445 (82.8%) were female. The ages of the patients ranged from 18 to 70 years (average = 46), and their body mass indices ranged from 34.6 to 77 kg/m2. Early complications occurred in 9.6% and were distributed as follows: 2.6% presented bleeding, intestinal obstruction occurred in 1.1%, peritoneal infections occurred in 3.2%, and 2.2% developed abdominal wall infections that required hospitalization. Three (0.5%) patients experienced pulmonary thromboembolism. The mortality rate was 0,55%. The incidence of early complications was low. The diagnosis of these complications was mostly clinical, based on the presence of signs and symptoms. The value of the clinical signs and early treatment, specially in cases of sepsis, were essential to the favorable surgical outcome. The mortality was mainly related to thromboembolism and advanced age, over 65 years.

Computer-aided US diagnosis of breast lesions by using cell-based contour grouping.

PubMed

Cheng, Jie-Zhi; Chou, Yi-Hong; Huang, Chiun-Sheng; Chang, Yeun-Chung; Tiu, Chui-Mei; Chen, Kuei-Wu; Chen, Chung-Ming

2010-06-01

To develop a computer-aided diagnostic algorithm with automatic boundary delineation for differential diagnosis of benign and malignant breast lesions at ultrasonography (US) and investigate the effect of boundary quality on the performance of a computer-aided diagnostic algorithm. This was an institutional review board-approved retrospective study with waiver of informed consent. A cell-based contour grouping (CBCG) segmentation algorithm was used to delineate the lesion boundaries automatically. Seven morphologic features were extracted. The classifier was a logistic regression function. Five hundred twenty breast US scans were obtained from 520 subjects (age range, 15-89 years), including 275 benign (mean size, 15 mm; range, 5-35 mm) and 245 malignant (mean size, 18 mm; range, 8-29 mm) lesions. The newly developed computer-aided diagnostic algorithm was evaluated on the basis of boundary quality and differentiation performance. The segmentation algorithms and features in two conventional computer-aided diagnostic algorithms were used for comparative study. The CBCG-generated boundaries were shown to be comparable with the manually delineated boundaries. The area under the receiver operating characteristic curve (AUC) and differentiation accuracy were 0.968 +/- 0.010 and 93.1% +/- 0.7, respectively, for all 520 breast lesions. At the 5% significance level, the newly developed algorithm was shown to be superior to the use of the boundaries and features of the two conventional computer-aided diagnostic algorithms in terms of AUC (0.974 +/- 0.007 versus 0.890 +/- 0.008 and 0.788 +/- 0.024, respectively). The newly developed computer-aided diagnostic algorithm that used a CBCG segmentation method to measure boundaries achieved a high differentiation performance. Copyright RSNA, 2010

Automated diagnosis of autism: in search of a mathematical marker.

PubMed

Bhat, Shreya; Acharya, U Rajendra; Adeli, Hojjat; Bairy, G Muralidhar; Adeli, Amir

2014-01-01

Autism is a type of neurodevelopmental disorder affecting the memory, behavior, emotion, learning ability, and communication of an individual. An early detection of the abnormality, due to irregular processing in the brain, can be achieved using electroencephalograms (EEG). The variations in the EEG signals cannot be deciphered by mere visual inspection. Computer-aided diagnostic tools can be used to recognize the subtle and invisible information present in the irregular EEG pattern and diagnose autism. This paper presents a state-of-the-art review of automated EEG-based diagnosis of autism. Various time domain, frequency domain, time-frequency domain, and nonlinear dynamics for the analysis of autistic EEG signals are described briefly. A focus of the review is the use of nonlinear dynamics and chaos theory to discover the mathematical biomarkers for the diagnosis of the autism analogous to biological markers. A combination of the time-frequency and nonlinear dynamic analysis is the most effective approach to characterize the nonstationary and chaotic physiological signals for the automated EEG-based diagnosis of autism spectrum disorder (ASD). The features extracted using these nonlinear methods can be used as mathematical markers to detect the early stage of autism and aid the clinicians in their diagnosis. This will expedite the administration of appropriate therapies to treat the disorder.

GPs' attitudes, awareness, and practice regarding early diagnosis of dementia

PubMed Central

Ahmad, Shamail; Orrell, Martin; Iliffe, Steve; Gracie, Antonia

2010-01-01

Background In primary care, the diagnosis of dementia is often delayed and the 2007 National Audit Office Report concluded action was needed to improve patient care and value for money. Aim To investigate the attitudes, awareness, and practice of GPs in England regarding early diagnosis and management of patients with dementia, and perceptions of local specialist services, to identify training or support needs. Design of study Secondary analysis of survey data that capture the above attitudes, awareness, and practice. Setting Online survey, targeting GP members of medeConnect. Method Survey data were obtained using an anonymised online self-completion questionnaire, and then analysed using standard data-analysis software. Results A total of 1011 GPs across the eight English regions responded. Older GPs were more confident in diagnosing and giving advice about dementia, but less likely to feel that early diagnosis was beneficial, and more likely to feel that patients with dementia can be a drain on resources with little positive outcome. Younger GPs were more positive and felt that much could be done to improve quality of life. Attitudes had no correlation with sex. GPs in general felt they had not had sufficient basic and post-qualifying training in dementia, and overall knowledge about dementia was low. Conclusion Much could be done to improve GPs' knowledge of dementia, and the confidence of older GPs could be an educational resource. However, greater experience may create scepticism about early diagnosis because of the perceived poor quality of specialist services. PMID:20849686

Computer-aided diagnosis of cavernous malformations in brain MR images.

PubMed

Wang, Huiquan; Ahmed, S Nizam; Mandal, Mrinal

2018-06-01

Cavernous malformation or cavernoma is one of the most common epileptogenic lesions. It is a type of brain vessel abnormality that can cause serious symptoms such as seizures, intracerebral hemorrhage, and various neurological disorders. Manual detection of cavernomas by physicians in a large set of brain MRI slices is a time-consuming and labor-intensive task and often delays diagnosis. In this paper, we propose a computer-aided diagnosis (CAD) system for cavernomas based on T2-weighted axial plane MRI image analysis. The proposed technique first extracts the brain area based on atlas registration and active contour model, and then performs template matching to obtain candidate cavernoma regions. Texture, the histogram of oriented gradients and local binary pattern features of each candidate region are calculated, and principal component analysis is applied to reduce the feature dimensionality. Support vector machines (SVMs) are finally used to classify each region into cavernoma or non-cavernoma so that most of the false positives (obtained by template matching) are eliminated. The performance of the proposed CAD system is evaluated and experimental results show that it provides superior performance in cavernoma detection compared to existing techniques. Copyright © 2018 Elsevier Ltd. All rights reserved.

Computer-aided diagnosis and artificial intelligence in clinical imaging.

PubMed

Shiraishi, Junji; Li, Qiang; Appelbaum, Daniel; Doi, Kunio

2011-11-01

Computer-aided diagnosis (CAD) is rapidly entering the radiology mainstream. It has already become a part of the routine clinical work for the detection of breast cancer with mammograms. The computer output is used as a "second opinion" in assisting radiologists' image interpretations. The computer algorithm generally consists of several steps that may include image processing, image feature analysis, and data classification via the use of tools such as artificial neural networks (ANN). In this article, we will explore these and other current processes that have come to be referred to as "artificial intelligence." One element of CAD, temporal subtraction, has been applied for enhancing interval changes and for suppressing unchanged structures (eg, normal structures) between 2 successive radiologic images. To reduce misregistration artifacts on the temporal subtraction images, a nonlinear image warping technique for matching the previous image to the current one has been developed. Development of the temporal subtraction method originated with chest radiographs, with the method subsequently being applied to chest computed tomography (CT) and nuclear medicine bone scans. The usefulness of the temporal subtraction method for bone scans was demonstrated by an observer study in which reading times and diagnostic accuracy improved significantly. An additional prospective clinical study verified that the temporal subtraction image could be used as a "second opinion" by radiologists with negligible detrimental effects. ANN was first used in 1990 for computerized differential diagnosis of interstitial lung diseases in CAD. Since then, ANN has been widely used in CAD schemes for the detection and diagnosis of various diseases in different imaging modalities, including the differential diagnosis of lung nodules and interstitial lung diseases in chest radiography, CT, and position emission tomography/CT. It is likely that CAD will be integrated into picture archiving and

Early diagnosis and Early Start Denver Model intervention in autism spectrum disorders delivered in an Italian Public Health System service.

PubMed

Devescovi, Raffaella; Monasta, Lorenzo; Mancini, Alice; Bin, Maura; Vellante, Valerio; Carrozzi, Marco; Colombi, Costanza

2016-01-01

Early diagnosis combined with an early intervention program, such as the Early Start Denver Model (ESDM), can positively influence the early natural history of autism spectrum disorders. This study evaluated the effectiveness of an early ESDM-inspired intervention, in a small group of toddlers, delivered at low intensity by the Italian Public Health System. Twenty-one toddlers at risk for autism spectrum disorders, aged 20-36 months, received 3 hours/wk of one-to-one ESDM-inspired intervention by trained therapists, combined with parents' and teachers' active engagement in ecological implementation of treatment. The mean duration of treatment was 15 months. Cognitive and communication skills, as well as severity of autism symptoms, were assessed by using standardized measures at pre-intervention (Time 0 [T0]; mean age =27 months) and post-intervention (Time 1 [T1]; mean age =42 months). Children made statistically significant improvements in the language and cognitive domains, as demonstrated by a series of nonparametric Wilcoxon tests for paired data. Regarding severity of autism symptoms, younger age at diagnosis was positively associated with greater improvement at post-assessment. Our results are consistent with the literature that underlines the importance of early diagnosis and early intervention, since prompt diagnosis can reduce the severity of autism symptoms and improve cognitive and language skills in younger children. Particularly in toddlers, it seems that an intervention model based on the ESDM principles, involving the active engagement of parents and nursery school teachers, may be effective even when the individual treatment is delivered at low intensity. Furthermore, our study supports the adaptation and the positive impact of the ESDM entirely sustained by the Italian Public Health System.

Computer-aided diagnosis workstation and database system for chest diagnosis based on multi-helical CT images

NASA Astrophysics Data System (ADS)

Satoh, Hitoshi; Niki, Noboru; Mori, Kiyoshi; Eguchi, Kenji; Kaneko, Masahiro; Kakinuma, Ryutarou; Moriyama, Noriyuki; Ohmatsu, Hironobu; Masuda, Hideo; Machida, Suguru; Sasagawa, Michizou

2006-03-01

Multi-helical CT scanner advanced remarkably at the speed at which the chest CT images were acquired for mass screening. Mass screening based on multi-helical CT images requires a considerable number of images to be read. It is this time-consuming step that makes the use of helical CT for mass screening impractical at present. To overcome this problem, we have provided diagnostic assistance methods to medical screening specialists by developing a lung cancer screening algorithm that automatically detects suspected lung cancers in helical CT images and a coronary artery calcification screening algorithm that automatically detects suspected coronary artery calcification. We also have developed electronic medical recording system and prototype internet system for the community health in two or more regions by using the Virtual Private Network router and Biometric fingerprint authentication system and Biometric face authentication system for safety of medical information. Based on these diagnostic assistance methods, we have now developed a new computer-aided workstation and database that can display suspected lesions three-dimensionally in a short time. This paper describes basic studies that have been conducted to evaluate this new system. The results of this study indicate that our computer-aided diagnosis workstation and network system can increase diagnostic speed, diagnostic accuracy and safety of medical information.

Nanotechnology-Based Detection of Novel microRNAs for Early Diagnosis of Prostate Cancer

DTIC Science & Technology

2016-08-01

1 AD _________________ AWARD NUMBER: W81XWH-15-1-0157 TITLE: Nanotechnology -Based Detection of Novel microRNAs for Early Diagnosis of Prostate...DATES COVERED 15 Jul 2015 - 14 Jul 2016 4. TITLE AND SUBTITLE Nanotechnology -Based Detection of Novel microRNAs for Early Diagnosis of Prostate Cancer...the expression level of deregulated miRNAs in mouse and human PCa tissues as well as serum samples using an advanced nanotechnology -based sensing

Computer-aided diagnosis: A survey with bibliometric analysis.

PubMed

Takahashi, Ryohei; Kajikawa, Yuya

2017-05-01

Computer-aided diagnosis (CAD) has been a promising area of research over the last two decades. However, CAD is a very complicated subject because it involves a number of medicine and engineering-related fields. To develop a research overview of CAD, we conducted a literature survey with bibliometric analysis, which we report here. Our study determined that CAD research has been classified and categorized according to disease type and imaging modality. This classification began with the CAD of mammograms and eventually progressed to that of brain disease. Furthermore, based on our results, we discuss future directions and opportunities for CAD research. First, in contrast to the typical hypothetical approach, the data-driven approach has shown promise. Second, the normalization of the test datasets and an evaluation method is necessary when adopting an algorithm and a system. Third, we discuss opportunities for the co-evolution of CAD research and imaging instruments-for example, the CAD of bones and pancreatic cancer. Fourth, the potential of synergy with CAD and clinical decision support systems is also discussed. Copyright © 2017 Elsevier B.V. All rights reserved.

Prenatal Diagnosis: Current Procedures and Implications for Early Interventionists Working with Families.

ERIC Educational Resources Information Center

Blasco, Patricia M.; And Others

1994-01-01

This article provides an overview of procedures commonly used in prenatal screening and diagnosis including ultrasound, amniocentesis, chorionic villus biopsy, maternal serum alpha-fetoprotein, and deoxyribonucleic acid (DNA) analysis. Emphasis is on the role of the early interventionist in supporting families during prenatal diagnosis. (Author/DB)

Computer-aided classification of optical images for diagnosis of osteoarthritis in the finger joints.

PubMed

Zhang, Jiang; Wang, James Z; Yuan, Zhen; Sobel, Eric S; Jiang, Huabei

2011-01-01

This study presents a computer-aided classification method to distinguish osteoarthritis finger joints from healthy ones based on the functional images captured by x-ray guided diffuse optical tomography. Three imaging features, joint space width, optical absorption, and scattering coefficients, are employed to train a Least Squares Support Vector Machine (LS-SVM) classifier for osteoarthritis classification. The 10-fold validation results show that all osteoarthritis joints are clearly identified and all healthy joints are ruled out by the LS-SVM classifier. The best sensitivity, specificity, and overall accuracy of the classification by experienced technicians based on manual calculation of optical properties and visual examination of optical images are only 85%, 93%, and 90%, respectively. Therefore, our LS-SVM based computer-aided classification is a considerably improved method for osteoarthritis diagnosis.

A sexually transmitted disease: History of AIDS through philately.

PubMed

Vatanoğlu, Emine Elif; Ataman, Ahmet Doğan

2011-01-01

AIDS has become the new plague; a disease that is not only physically and psychologically debilitating, but culturally and socially devastating as well. Like the plague, AIDS has caused fear, prejudice and even panic in society. Although there are remarkable improvements in the diagnosis and treatment of the disease, AIDS continues its grim passage around the globe. After a slight downturn in the early 1990's, it then returned with a vengeance. By the end of the 20(th) century, AIDS was reliably estimated to have caused over 20 million deaths throughout the world. At the same time, 40 million people were estimated to be HIV positive. This paper provides an overview of the history of AIDS, including the discovery and its progress in the world through philately. Philately is the study of stamps and postal history and other related items. Philately involves more than just stamp collecting, it contains the study of the design and educational impact of a philatelic material. We have presented AIDS stamps produced world-wide to emphasize the history of AIDS.

Novel blood-based microRNA biomarker panel for early diagnosis of chronic pancreatitis

PubMed Central

Xin, Lei; Gao, Jun; Wang, Dan; Lin, Jin-Huan; Liao, Zhuan; Ji, Jun-Tao; Du, Ting-Ting; Jiang, Fei; Hu, Liang-Hao; Li, Zhao-Shen

2017-01-01

Chronic pancreatitis (CP) is an inflammatory disease characterized by progressive fibrosis of pancreas. Early diagnosis will improve the prognosis of patients. This study aimed to obtain serum miRNA biomarkers for early diagnosis of CP. In the current study, we analyzed the differentially expressed miRNAs (DEmiRs) of CP patients from Gene Expression Omnibus (GEO), and the DEmiRs in plasma of early CP patients (n = 10) from clinic by miRNA microarrays. Expression levels of DEmiRs were further tested in clinical samples including early CP patients (n = 20), late CP patients (n = 20) and healthy controls (n = 18). The primary endpoints were area under curve (AUC) and expression levels of DEmiRs. Four DEmiRs (hsa-miR-320a-d) were obtained from GEO CP, meanwhile two (hsa-miR-221 and hsa-miR-130a) were identified as distinct biomarkers of early CP by miRNA microarrays. When applied on clinical serum samples, hsa-miR-320a-d were accurate in predicting late CP, while hsa-miR-221 and hsa-miR-130a were accurate in predicting early CP with AUC of 100.0% and 87.5%. Our study indicates that miRNA expression profile is different in early and late CP. Hsa-miR-221 and hsa-miR-130a are biomarkers of early CP, and the panel of the above 6 serum miRNAs has the potential to be applied clinically for early diagnosis of CP. PMID:28074846

Multi-Domain Transfer Learning for Early Diagnosis of Alzheimer's Disease.

PubMed

Cheng, Bo; Liu, Mingxia; Shen, Dinggang; Li, Zuoyong; Zhang, Daoqiang

2017-04-01

Recently, transfer learning has been successfully applied in early diagnosis of Alzheimer's Disease (AD) based on multi-domain data. However, most of existing methods only use data from a single auxiliary domain, and thus cannot utilize the intrinsic useful correlation information from multiple domains. Accordingly, in this paper, we consider the joint learning of tasks in multi-auxiliary domains and the target domain, and propose a novel Multi-Domain Transfer Learning (MDTL) framework for early diagnosis of AD. Specifically, the proposed MDTL framework consists of two key components: 1) a multi-domain transfer feature selection (MDTFS) model that selects the most informative feature subset from multi-domain data, and 2) a multi-domain transfer classification (MDTC) model that can identify disease status for early AD detection. We evaluate our method on 807 subjects from the Alzheimer's Disease Neuroimaging Initiative (ADNI) database using baseline magnetic resonance imaging (MRI) data. The experimental results show that the proposed MDTL method can effectively utilize multi-auxiliary domain data for improving the learning performance in the target domain, compared with several state-of-the-art methods.

Optic cup segmentation from fundus images for glaucoma diagnosis.

PubMed

Hu, Man; Zhu, Chenghao; Li, Xiaoxing; Xu, Yongli

2017-01-02

Glaucoma is a serious disease that can cause complete, permanent blindness, and its early diagnosis is very difficult. In recent years, computer-aided screening and diagnosis of glaucoma has made considerable progress. The optic cup segmentation from fundus images is an extremely important part for the computer-aided screening and diagnosis of glaucoma. This paper presented an automatic optic cup segmentation method that used both color difference information and vessel bends information from fundus images to determine the optic cup boundary. During the implementation of this algorithm, not only were the locations of the 2 types of information points used, but also the confidences of the information points were evaluated. In this way, the information points with higher confidence levels contributed more to the determination of the final cup boundary. The proposed method was evaluated using a public database for fundus images. The experimental results demonstrated that the cup boundaries obtained by the proposed method were more consistent than existing methods with the results obtained by ophthalmologists.

Diagnosis and prognosis of early-onset intrahepatic cholestasis of pregnancy: a prospective study.

PubMed

Lin, Jing; Gu, Wei; Hou, Yanyan

2017-11-07

To explore the gestational age of early-onset intrahepatic cholestasis (ICP) of pregnancy, and to analyze the relationship between the clinical biochemical indices and pregnancy outcomes in order to arrive at a reasonable diagnosis and administer appropriate treatment. This is a retrospective clinical study. We selected 47,260 pregnant women who received prenatal care and underwent childbirth at the International Peace Maternity and Child Health Hospital affiliated to Shanghai Jiao Tong University from January 2014 to December 2016 for participating in this study. Of these 47,260 women, 407 developed ICP. To calculate the gestational week cutoff between early- and late-onset ICP by the receiver-operating characteristic (ROC) curve and Youden's index. Two independent samples t tests and chi square test were used to compare the differences in biochemical indices and pregnancy outcomes between the two groups. We found that 34 weeks is the most appropriate cutoff gestational age for the diagnosis of early-onset ICP. Early-onset ICP is characterized by early onset, long disease duration and a higher incidence of preterm labor, fetal distress, and fetal low birth weight compared to late-onset ICP. Thirty-four weeks is the most appropriate cutoff gestational age for the diagnosis of early-onset ICP. And to reduce the adverse pregnancy outcomes in cases of early-onset ICP, we suggest prolonging gestation up to 37 weeks as far as possible before selecting iatrogenic birth.

High Mobility Group Box 1 Protein as an Auxiliary Biomarker for Dengue Diagnosis

PubMed Central

Allonso, Diego; Vázquez, Susana; Guzmán, Maria G.; Mohana-Borges, Ronaldo

2013-01-01

Despite the availability of many methods for rapid and early diagnosis of dengue, there is still a need to develop new approaches that not only combine low cost, specificity, and sensitivity, but also are capable of accurately detecting secondary infection in the early stages of the disease. We report the potential of the high mobility group box 1 protein as an auxiliary biomarker for early dengue diagnosis. We tested a 205-sample serum panel that included negative and positive samples from primary and secondary dengue cases, as well as samples from patients with dengue-like symptoms. We observed that high mobility group box 1 protein was generally detected only in dengue-positive samples for persons with primary and secondary infections. These results highlight the possibility of using this endogenous molecule as an auxiliary biomarker to aid in dengue detection and improve current methods for early diagnosis of dengue. PMID:23269659

Application of infrared thermography in computer aided diagnosis

NASA Astrophysics Data System (ADS)

Faust, Oliver; Rajendra Acharya, U.; Ng, E. Y. K.; Hong, Tan Jen; Yu, Wenwei

2014-09-01

The invention of thermography, in the 1950s, posed a formidable problem to the research community: What is the relationship between disease and heat radiation captured with Infrared (IR) cameras? The research community responded with a continuous effort to find this crucial relationship. This effort was aided by advances in processing techniques, improved sensitivity and spatial resolution of thermal sensors. However, despite this progress fundamental issues with this imaging modality still remain. The main problem is that the link between disease and heat radiation is complex and in many cases even non-linear. Furthermore, the change in heat radiation as well as the change in radiation pattern, which indicate disease, is minute. On a technical level, this poses high requirements on image capturing and processing. On a more abstract level, these problems lead to inter-observer variability and on an even more abstract level they lead to a lack of trust in this imaging modality. In this review, we adopt the position that these problems can only be solved through a strict application of scientific principles and objective performance assessment. Computing machinery is inherently objective; this helps us to apply scientific principles in a transparent way and to assess the performance results. As a consequence, we aim to promote thermography based Computer-Aided Diagnosis (CAD) systems. Another benefit of CAD systems comes from the fact that the diagnostic accuracy is linked to the capability of the computing machinery and, in general, computers become ever more potent. We predict that a pervasive application of computers and networking technology in medicine will help us to overcome the shortcomings of any single imaging modality and this will pave the way for integrated health care systems which maximize the quality of patient care.

Deep-reasoning fault diagnosis - An aid and a model

NASA Technical Reports Server (NTRS)

Yoon, Wan Chul; Hammer, John M.

1988-01-01

The design and evaluation are presented for the knowledge-based assistance of a human operator who must diagnose a novel fault in a dynamic, physical system. A computer aid based on a qualitative model of the system was built to help the operators overcome some of their cognitive limitations. This aid differs from most expert systems in that it operates at several levels of interaction that are believed to be more suitable for deep reasoning. Four aiding approaches, each of which provided unique information to the operator, were evaluated. The aiding features were designed to help the human's casual reasoning about the system in predicting normal system behavior (N aiding), integrating observations into actual system behavior (O aiding), finding discrepancies between the two (O-N aiding), or finding discrepancies between observed behavior and hypothetical behavior (O-HN aiding). Human diagnostic performance was found to improve by almost a factor of two with O aiding and O-N aiding.

Importance of Early Diagnosis of Cardiac Sarcoidosis in Patients with Complete Atrioventricular Block.

PubMed

Kaida, Toyoji; Inomata, Takayuki; Minami, Yoshiyasu; Yazaki, Mayu; Fujita, Teppei; Iida, Yuichiro; Ikeda, Yuki; Nabeta, Takeru; Ishii, Shunsuke; Naruke, Takashi; Maekawa, Emi; Koitabashi, Toshimi; Ako, Junya

2018-05-23

Our aim is to clarify the factors for early diagnosis of cardiac sarcoidosis (CS) in patients with complete atrioventricular block (CAVB) and its impact on cardiac function after corticosteroid therapy.A total of 15 CS patients with CAVB who underwent corticosteroid therapy were retrospectively analyzed. Patients were divided into two groups according to the time from the first CAVB onset to the diagnosis of CS. Clinical characteristics and outcomes were compared between the early diagnosis group (within 1 year; group E, n = 10) and the late diagnosis group (over 1 year; group L, n = 5).The history of extracardiac sarcoidosis (60 versus 0%, P = 0.0440) and abnormal findings on echocardiography (70 versus 0%, P = 0.0256) at the CAVB onset were significantly more frequent in group E than in group L. The change of left ventricular ejection fraction (LVEF) and brain natriuretic peptide (BNP) levels was significantly better in group E than in group L (0.8 ± 2.8 versus -32.4 ± 3.9%, P < 0.0001; -11.1 ± 16.0 versus 161.8 ± 35.8 pg/mL, P = 0.0013, respectively). After corticosteroid therapy, the LVEF and BNP levels were also significantly better in group E than in group L (53.3 ± 10.7 versus 37.0 ± 9.3%, P = 0.0128; 63.0 ± 46.4 versus 458.8 ± 352.0 pg/mL, P = 0.0027).The diagnosis may be delayed in CS patients with CAVB without history of extracardiac sarcoidosis. Abnormal findings on echocardiography contributed to the early diagnosis of CS. Therefore, the diagnosis of CS may be missed or delayed in patients without them. Time delay from the CAVB onset to the CS diagnosis may exacerbate the cardiac function.

Diagnosis of liver involvement in early syphilis. A critical review.

PubMed

Veeravahu, M

1985-01-01

The diagnosis of liver involvement in early syphilis has always posed problems because of its rarity and the difficulty of excluding coincidental liver disease caused by a multitude of pathogens. Case reports deal predominantly with jaundiced homosexual men in whom syphilis is discovered later, and the prospective studies of patients with early syphilis disclose only mild biochemical abnormalities in liver function test results. There is no single characteristic feature attributable to early syphilitic hepatitis. Even liver histologic findings are variable. At least in those patients who have jaundice, there is a likelihood of coincidental viral hepatitis. Therefore, the evidence to implicate Treponema pallidum as a liver pathogen in early syphilis is not convincing.

Early Diagnosis and Intervention Strategies for Post-Traumatic Heterotopic Ossification in Severely Injured Extremities

DTIC Science & Technology

2016-12-01

1 Award Number: W81XWH-12-2-0118 TITLE: Early Diagnosis and Intervention Strategies for Post -Traumatic Heterotopic Ossification in Severely...December 2016 TYPE OF REPORT: Final PREPARED FOR: U.S. Army Medical Research and Materiel Command Fort Detrick, Maryland 21702-5012 DISTRIBUTION...COVERED 30Sep2012 - 29Sep2016 4. TITLE AND SUBTITLE 5a. CONTRACT NUMBER Early Diagnosis and Intervention Strategies for Post -Traumatic Heterotopic

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

... HIV/AIDS Program, Part C Early Intervention Services Grant Under the Ryan White HIV/AIDS Program... Continued HIV Primary Medical Care. SUMMARY: To prevent a lapse in comprehensive primary care services for persons living with HIV/AIDS, HRSA will provide one-time noncompetitive Part C funds to the Aaron E. Henry...

In vivo photoacoustic flow cytometry for early malaria diagnosis.

PubMed

Cai, Chengzhong; Carey, Kai A; Nedosekin, Dmitry A; Menyaev, Yulian A; Sarimollaoglu, Mustafa; Galanzha, Ekaterina I; Stumhofer, Jason S; Zharov, Vladimir P

2016-06-01

In vivo photoacoustic (PA) flow cytometry (PAFC) has already demonstrated a great potential for the diagnosis of deadly diseases through ultrasensitive detection of rare disease-associated circulating markers in whole blood volume. Here, we demonstrate the first application of this powerful technique for early diagnosis of malaria through label-free detection of malaria parasite-produced hemozoin in infected red blood cells (iRBCs) as high-contrast PA agent. The existing malaria tests using blood smears can detect the disease at 0.001-0.1% of parasitemia. On the contrary, linear PAFC showed a potential for noninvasive malaria diagnosis at an extremely low level of parasitemia of 0.0000001%, which is ∼10(3) times better than the existing tests. Multicolor time-of-flight PAFC with high-pulse repetition rate lasers at wavelengths of 532, 671, and 820 nm demonstrated rapid spectral and spatial identification and quantitative enumeration of individual iRBCs. Integration of PAFC with fluorescence flow cytometry (FFC) provided real-time simultaneous detection of single iRBCs and parasites expressing green fluorescence proteins, respectively. A combination of linear and nonlinear nanobubble-based multicolor PAFC showed capability to real-time control therapy efficiency by counting of iRBCs before, during, and after treatment. Our results suggest that high-sensitivity, high-resolution ultrafast PAFC-FFC platform represents a powerful research tool to provide the insight on malaria progression through dynamic study of parasite-cell interactions directly in bloodstream, whereas portable hand-worn PAFC device could be broadly used in humans for early malaria diagnosis. © 2016 International Society for Advancement of Cytometry. © 2016 International Society for Advancement of Cytometry.

Comparison between presepsin and procalcitonin in early diagnosis of neonatal sepsis.

PubMed

Iskandar, Agustin; Arthamin, Maimun Z; Indriana, Kristin; Anshory, Muhammad; Hur, Mina; Di Somma, Salvatore

2018-05-09

Neonatal sepsis remains worldwide one of the leading causes of morbidity and mortality in both term and preterm infants. Lower mortality rates are related to timely diagnostic evaluation and prompt initiation of empiric antibiotic therapy. Blood culture, as gold standard examination for sepsis, has several limitations for early diagnosis, so that sepsis biomarkers could play an important role in this regard. This study was aimed to compare the value of the two biomarkers presepsin and procalcitonin in early diagnosis of neonatal sepsis. This was a prospective cross-sectional study performed, in Saiful Anwar General Hospital Malang, Indonesia, in 51 neonates that fulfill the criteria of systemic inflammatory response syndrome (SIRS) with blood culture as diagnostic gold standard for sepsis. At reviewer operating characteristic (ROC) curve analyses, using a presepsin cutoff of 706,5 pg/mL, the obtained area under the curve (AUCs) were: sensitivity = 85.7%, specificity = 68.8%, positive predictive value = 85.7%, negative predictive value = 68.8%, positive likelihood ratio = 2.75, negative likelihood ratio = 0.21, and accuracy = 80.4%. On the other hand, with a procalcitonin cutoff value of 161.33 pg/mL the obtained AUCs showed: sensitivity = 68.6%, specificity = 62.5%, positive predictive value = 80%, negative predictive value = 47.6%, positive likelihood ratio = 1.83, the odds ratio negative = 0.5, and accuracy = 66.7%. In early diagnosis of neonatal sepsis, compared with procalcitonin, presepsin seems to provide better early diagnostic value with consequent possible faster therapeutical decision making and possible positive impact on outcome of neonates.

Endoscopic Management of Early Adenocarcinoma and Squamous Cell Carcinoma of the Esophagus: Screening, Diagnosis, and Therapy.

PubMed

di Pietro, Massimiliano; Canto, Marcia I; Fitzgerald, Rebecca C

2018-01-01

Because the esophagus is easily accessible with endoscopy, early diagnosis and curative treatment of esophageal cancer is possible. However, diagnosis is often delayed because symptoms are not specific during early stages of tumor development. The onset of dysphagia is associated with advanced disease, which has a survival at 5 years lower than 15%. Population screening by endoscopy is not cost-effective, but a number of alternative imaging and cell analysis technologies are under investigation. The ideal screening test should be inexpensive, well tolerated, and applicable to primary care. Over the past 10 years, significant progress has been made in endoscopic diagnosis and treatment of dysplasia (squamous and Barrett's), and early esophageal cancer using resection and ablation technologies supported by evidence from randomized controlled trials. We review the state-of-the-art technologies for early diagnosis and minimally invasive treatment, which together could reduce the burden of disease. Copyright © 2018 AGA Institute. Published by Elsevier Inc. All rights reserved.

B cell-stimulatory cytokines and markers of immune activation are elevated several years prior to the diagnosis of systemic AIDS-associated non-Hodgkin B cell lymphoma

PubMed Central

Breen, Elizabeth Crabb; Hussain, Shehnaz K.; Magpantay, Larry; Jacobson, Lisa P.; Detels, Roger; Rabkin, Charles S.; Kaslow, Richard A.; Variakojis, Daina; Bream, Jay H.; Rinaldo, Charles R.; Ambinder, Richard F.; Martínez-Maza, Otoniel

2011-01-01

Background The risk of developing non-Hodgkin lymphoma (NHL) is greatly increased in HIV infection. The aim of this study was to determine if elevated serum levels of molecules associated with B cell activation precede the diagnosis of AIDS-associated NHL. Methods Serum levels of B cell activation-associated molecules, interleukin-6 (IL6), interleukin-10 (IL10), soluble CD23 (sCD23), soluble CD27 (sCD27), soluble CD30 (sCD30), C-reactive protein (CRP), and IgE were determined in 179 NHL cases and HIV+ controls in the Multicenter AIDS Cohort Study, collected at up to three time points per subject, 0–5 years prior to AIDS-NHL diagnosis. Results Serum IL6, IL10, CRP, sCD23, sCD27, and sCD30 levels were all significantly elevated in the AIDS-NHL group, when compared to HIV+ controls or to AIDS controls, after adjusting for CD4 T cell number. Elevated serum levels of B cell activation-associated molecules were seen to be associated with the development of systemic (non-CNS) NHL, but not with the development of primary CNS lymphoma. Conclusions Levels of certain B cell stimulatory cytokines and molecules associated with immune activation are elevated for several years preceding the diagnosis of systemic AIDS-NHL. This observation is consistent with the hypothesis that chronic B cell activation contributes to the development of these hematologic malignancies. Impact Marked differences in serum levels of several molecules are seen for several years pre-diagnosis in those who eventually develop AIDS-NHL. Some of these molecules may serve as candidate biomarkers and provide valuable information to better define the etiology of NHL. PMID:21527584

Distance to testing sites and its association with timing of HIV diagnosis.

PubMed

Cope, Anna B; Powers, Kimberly A; Serre, Marc L; Escamilla, Veronica; Emch, Michael E; Leone, Peter A; Mobley, Victoria L; Miller, William C

2016-11-01

Early HIV diagnosis enables prompt treatment initiation, thereby contributing to decreased morbidity, mortality, and transmission. We aimed to describe the association between distance from residence to testing sites and HIV disease stage at diagnosis. Using HIV surveillance data, we identified all new HIV diagnoses made at publicly funded testing sites in central North Carolina during 2005-2013. Early-stage HIV was defined as acute HIV (antibody-negative test with a positive HIV RNA) or recent HIV (normalized optical density <0.8 on the BED assay for non-AIDS cases); remaining diagnoses were considered post-early-stage HIV. Street distance between residence at diagnosis and (1) the closest testing site and (2) the diagnosis site was dichotomized at 5 miles. We fit log-binomial models using generalized estimating equations to estimate prevalence ratios (PR) and robust 95% confidence intervals (CI) for post-early-stage diagnoses by distance. Models were adjusted for race/ethnicity and testing period. Most of the 3028 new diagnoses were black (N = 2144; 70.8%), men who have sex with men (N = 1685; 55.7%), and post-early-stage HIV diagnoses (N = 2010; 66.4%). Overall, 1145 (37.8%) cases traveled <5 miles for a diagnosis. Among cases traveling ≥5 miles for a diagnosis, 1273 (67.6%) lived <5 miles from a different site. Residing ≥5 miles from a testing site was not associated with post-early-stage HIV (adjusted PR, 95% CI: 0.98, 0.92-1.04), but traveling ≥5 miles for a diagnosis was associated with higher post-early HIV prevalence (1.07, 1.02-1.13). Most of the elevated prevalence observed in cases traveling ≥5 miles for a diagnosis occurred among those living <5 miles from a different site (1.09, 1.03-1.16). Modest increases in post-early-stage HIV diagnosis were apparent among persons living near a site, but choosing to travel longer distances to test. Understanding reasons for increased travel distances could improve accessibility and

Acrania/encephalocele sequence (exencephaly) associated with 92,XXXX karyotype: early prenatal diagnosis at 9(+5) weeks by 3D transvaginal ultrasound and coelocentesis.

PubMed

Tonni, Gabriele; Ventura, Alessandro; Bonasoni, Maria Paola

2009-09-01

A 27-year-old pregnant woman was diagnosed by 3D transvaginal ultrasound as carrying a fetus of 9(+5) weeks gestation affected by acrania/encephalocele (exencephaly) sequence. A 2D transvaginal ultrasound-guided aspiration of 5 mL of extra-coelomic fluid was performed under cervical block before uterine suction. Conventional cytogenetic analysis demonstrated a 92,XXXX karyotype. Transvaginal 2D ultrasound-guided coelocentesis for rapid karyotyping can be proposed to women who are near to miscarriage or in cases where a prenatal ultrasound diagnosis of congenital anomaly is performed at an early stage of development. Genetic analysis can be performed using traditional cytogenetic analysis or can be aided by fluorescence in situ hybridization (FISH). Coelocentesis may become an integral part of first trimester armamentarium and may be clinically useful in the understanding of the pathogenesis of early prenatally diagnosed congenital anomalies.

Metabolomics as a promising tool for early osteoarthritis diagnosis.

PubMed

de Sousa, E B; Dos Santos, G C; Duarte, M E L; Moura, V; Aguiar, D P

2017-09-21

Osteoarthritis (OA) is the main cause of disability worldwide, due to progressive articular cartilage loss and degeneration. According to recent research, OA is more than just a degenerative disease due to some metabolic components associated to its pathogenesis. However, no biomarker has been identified to detect this disease at early stages or to track its development. Metabolomics is an emerging field and has the potential to detect many metabolites in a single spectrum using high resolution nuclear magnetic resonance (NMR) techniques or mass spectrometry (MS). NMR is a reproducible and reliable non-destructive analytical method. On the other hand, MS has a lower detection limit and is more destructive, but it is more sensitive. NMR and MS are useful for biological fluids, such as urine, blood plasma, serum, or synovial fluid, and have been used for metabolic profiling in dogs, mice, sheep, and humans. Thus, many metabolites have been listed as possibly associated to OA pathogenesis. The goal of this review is to provide an overview of the studies in animal models and humans, regarding the use of metabolomics as a tool for early osteoarthritis diagnosis. The concept of osteoarthritis as a metabolic disease and the importance of detecting a biomarker for its early diagnosis are highlighted. Then, some studies in plasma and synovial tissues are shown, and finally the application of metabolomics in the evaluation of synovial fluid is described.

Hemophagocytic lymphohistiocytosis (HLH) secondary to disseminated histoplasmosis in the setting of Acquired Immunodeficiency Syndrome (AIDS).

PubMed

Asanad, Samuel; Cerk, Brendan; Ramirez, Veronica

2018-06-01

Hemophagocytic lymphohistiocytosis (HLH) is a rare and aggressive disease involving immune system over-activation leading to hemophagocytosis. HLH requires early diagnosis and prompt treatment initiation, especially in patients with Acquired Immunodeficiency Syndrome (AIDS). We present a case of a middle-aged male with AIDS and renal failure, who developed HLH secondary to disseminated histoplasmosis. Etoposide chemotherapy as recommended by the HLH 2004 Guidelines was deferred and treatment focused instead on anti-fungal therapy. Anti-retroviral therapy followed thereafter.

How Persistent is a Diagnosis of Mathematical Disorder at an Early Age? A Longitudinal Study

ERIC Educational Resources Information Center

Desoete, Annemmie; De Weerd, Frauke; Vanderswalmen, Ruth; De Bond, Annemie

2014-01-01

The study was conducted to look at differences between children who outgrew and did not outgrow an early diagnosis of mathematical learning disorder (MD; n=13), and peers without MD (n=13). Children were tested at 5, 6, 7 and 10 years of age. About 54% of the children with an early diagnosis of MD still experienced mathematical difficulties at the…

Computer-Aided Diagnosis of Anterior Segment Eye Abnormalities using Visible Wavelength Image Analysis Based Machine Learning.

PubMed

S V, Mahesh Kumar; R, Gunasundari

2018-06-02

Eye disease is a major health problem among the elderly people. Cataract and corneal arcus are the major abnormalities that exist in the anterior segment eye region of aged people. Hence, computer-aided diagnosis of anterior segment eye abnormalities will be helpful for mass screening and grading in ophthalmology. In this paper, we propose a multiclass computer-aided diagnosis (CAD) system using visible wavelength (VW) eye images to diagnose anterior segment eye abnormalities. In the proposed method, the input VW eye images are pre-processed for specular reflection removal and the iris circle region is segmented using a circular Hough Transform (CHT)-based approach. The first-order statistical features and wavelet-based features are extracted from the segmented iris circle and used for classification. The Support Vector Machine (SVM) by Sequential Minimal Optimization (SMO) algorithm was used for the classification. In experiments, we used 228 VW eye images that belong to three different classes of anterior segment eye abnormalities. The proposed method achieved a predictive accuracy of 96.96% with 97% sensitivity and 99% specificity. The experimental results show that the proposed method has significant potential for use in clinical applications.

Can computer-aided diagnosis (CAD) help radiologists find mammographically missed screening cancers?

NASA Astrophysics Data System (ADS)

Nishikawa, Robert M.; Giger, Maryellen L.; Schmidt, Robert A.; Papaioannou, John

2001-06-01

We present data from a pilot observer study whose goal is design a study to test the hypothesis that computer-aided diagnosis (CAD) can improve radiologists' performance in reading screening mammograms. In a prospective evaluation of our computer detection schemes, we have analyzed over 12,000 clinical exams. Retrospective review of the negative screening mammograms for all cancer cases found an indication of the cancer in 23 of these negative cases. The computer found 54% of these in our prospective testing. We added to these cases normal exams to create a dataset of 75 cases. Four radiologists experienced in mammography read the cases and gave their BI-RADS assessment and their confidence that the patient should be called back for diagnostic mammography. They did so once reading the films only and a second time reading with the computer aid. Three radiologists had no change in area under the ROC curve (mean Az of 0.73) and one improved from 0.73 to 0.78, but this difference failed to reach statistical significance (p equals 0.23). These data are being used to plan a larger more powerful study.

Computer-aided diagnosis in radiological imaging: current status and future challenges

NASA Astrophysics Data System (ADS)

Doi, Kunio

2009-10-01

Computer-aided diagnosis (CAD) has become one of the major research subjects in medical imaging and diagnostic radiology. Many different types of CAD schemes are being developed for detection and/or characterization of various lesions in medical imaging, including conventional projection radiography, CT, MRI, and ultrasound imaging. Commercial systems for detection of breast lesions on mammograms have been developed and have received FDA approval for clinical use. CAD may be defined as a diagnosis made by a physician who takes into account the computer output as a "second opinion". The purpose of CAD is to improve the quality and productivity of physicians in their interpretation of radiologic images. The quality of their work can be improved in terms of the accuracy and consistency of their radiologic diagnoses. In addition, the productivity of radiologists is expected to be improved by a reduction in the time required for their image readings. The computer output is derived from quantitative analysis of radiologic images by use of various methods and techniques in computer vision, artificial intelligence, and artificial neural networks (ANNs). The computer output may indicate a number of important parameters, for example, the locations of potential lesions such as lung cancer and breast cancer, the likelihood of malignancy of detected lesions, and the likelihood of various diseases based on differential diagnosis in a given image and clinical parameters. In this review article, the basic concept of CAD is first defined, and the current status of CAD research is then described. In addition, the potential of CAD in the future is discussed and predicted.

Computer-aided diagnosis of lung cancer: the effect of training data sets on classification accuracy of lung nodules.

PubMed

Gong, Jing; Liu, Ji-Yu; Sun, Xi-Wen; Zheng, Bin; Nie, Sheng-Dong

2018-02-05

This study aims to develop a computer-aided diagnosis (CADx) scheme for classification between malignant and benign lung nodules, and also assess whether CADx performance changes in detecting nodules associated with early and advanced stage lung cancer. The study involves 243 biopsy-confirmed pulmonary nodules. Among them, 76 are benign, 81 are stage I and 86 are stage III malignant nodules. The cases are separated into three data sets involving: (1) all nodules, (2) benign and stage I malignant nodules, and (3) benign and stage III malignant nodules. A CADx scheme is applied to segment lung nodules depicted on computed tomography images and we initially computed 66 3D image features. Then, three machine learning models namely, a support vector machine, naïve Bayes classifier and linear discriminant analysis, are separately trained and tested by using three data sets and a leave-one-case-out cross-validation method embedded with a Relief-F feature selection algorithm. When separately using three data sets to train and test three classifiers, the average areas under receiver operating characteristic curves (AUC) are 0.94, 0.90 and 0.99, respectively. When using the classifiers trained using data sets with all nodules, average AUC values are 0.88 and 0.99 for detecting early and advanced stage nodules, respectively. AUC values computed from three classifiers trained using the same data set are consistent without statistically significant difference (p  >  0.05). This study demonstrates (1) the feasibility of applying a CADx scheme to accurately distinguish between benign and malignant lung nodules, and (2) a positive trend between CADx performance and cancer progression stage. Thus, in order to increase CADx performance in detecting subtle and early cancer, training data sets should include more diverse early stage cancer cases.

Computer-aided diagnosis of lung cancer: the effect of training data sets on classification accuracy of lung nodules

NASA Astrophysics Data System (ADS)

Gong, Jing; Liu, Ji-Yu; Sun, Xi-Wen; Zheng, Bin; Nie, Sheng-Dong

2018-02-01

This study aims to develop a computer-aided diagnosis (CADx) scheme for classification between malignant and benign lung nodules, and also assess whether CADx performance changes in detecting nodules associated with early and advanced stage lung cancer. The study involves 243 biopsy-confirmed pulmonary nodules. Among them, 76 are benign, 81 are stage I and 86 are stage III malignant nodules. The cases are separated into three data sets involving: (1) all nodules, (2) benign and stage I malignant nodules, and (3) benign and stage III malignant nodules. A CADx scheme is applied to segment lung nodules depicted on computed tomography images and we initially computed 66 3D image features. Then, three machine learning models namely, a support vector machine, naïve Bayes classifier and linear discriminant analysis, are separately trained and tested by using three data sets and a leave-one-case-out cross-validation method embedded with a Relief-F feature selection algorithm. When separately using three data sets to train and test three classifiers, the average areas under receiver operating characteristic curves (AUC) are 0.94, 0.90 and 0.99, respectively. When using the classifiers trained using data sets with all nodules, average AUC values are 0.88 and 0.99 for detecting early and advanced stage nodules, respectively. AUC values computed from three classifiers trained using the same data set are consistent without statistically significant difference (p  >  0.05). This study demonstrates (1) the feasibility of applying a CADx scheme to accurately distinguish between benign and malignant lung nodules, and (2) a positive trend between CADx performance and cancer progression stage. Thus, in order to increase CADx performance in detecting subtle and early cancer, training data sets should include more diverse early stage cancer cases.

Evaluating Imaging and Computer-aided Detection and Diagnosis Devices at the FDA

PubMed Central

Gallas, Brandon D.; Chan, Heang-Ping; D’Orsi, Carl J.; Dodd, Lori E.; Giger, Maryellen L.; Gur, David; Krupinski, Elizabeth A.; Metz, Charles E.; Myers, Kyle J.; Obuchowski, Nancy A.; Sahiner, Berkman; Toledano, Alicia Y.; Zuley, Margarita L.

2017-01-01

This report summarizes the Joint FDA-MIPS Workshop on Methods for the Evaluation of Imaging and Computer-Assist Devices. The purpose of the workshop was to gather information on the current state of the science and facilitate consensus development on statistical methods and study designs for the evaluation of imaging devices to support US Food and Drug Administration submissions. Additionally, participants expected to identify gaps in knowledge and unmet needs that should be addressed in future research. This summary is intended to document the topics that were discussed at the meeting and disseminate the lessons that have been learned through past studies of imaging and computer-aided detection and diagnosis device performance. PMID:22306064

Optic cup segmentation from fundus images for glaucoma diagnosis

PubMed Central

Hu, Man; Zhu, Chenghao; Li, Xiaoxing; Xu, Yongli

2017-01-01

ABSTRACT Glaucoma is a serious disease that can cause complete, permanent blindness, and its early diagnosis is very difficult. In recent years, computer-aided screening and diagnosis of glaucoma has made considerable progress. The optic cup segmentation from fundus images is an extremely important part for the computer-aided screening and diagnosis of glaucoma. This paper presented an automatic optic cup segmentation method that used both color difference information and vessel bends information from fundus images to determine the optic cup boundary. During the implementation of this algorithm, not only were the locations of the 2 types of information points used, but also the confidences of the information points were evaluated. In this way, the information points with higher confidence levels contributed more to the determination of the final cup boundary. The proposed method was evaluated using a public database for fundus images. The experimental results demonstrated that the cup boundaries obtained by the proposed method were more consistent than existing methods with the results obtained by ophthalmologists. PMID:27764542

Design a Fuzzy Rule-based Expert System to Aid Earlier Diagnosis of Gastric Cancer.

PubMed

Safdari, Reza; Arpanahi, Hadi Kazemi; Langarizadeh, Mostafa; Ghazisaiedi, Marjan; Dargahi, Hossein; Zendehdel, Kazem

2018-01-01

Screening and health check-up programs are most important sanitary priorities, that should be undertaken to control dangerous diseases such as gastric cancer that affected by different factors. More than 50% of gastric cancer diagnoses are made during the advanced stage. Currently, there is no systematic approach for early diagnosis of gastric cancer. to develop a fuzzy expert system that can identify gastric cancer risk levels in individuals. This system was implemented in MATLAB software, Mamdani inference technique applied to simulate reasoning of experts in the field, a total of 67 fuzzy rules extracted as a rule-base based on medical expert's opinion. 50 case scenarios were used to evaluate the system, the information of case reports is given to the system to find risk level of each case report then obtained results were compared with expert's diagnosis. Results revealed that sensitivity was 92.1% and the specificity was 83.1%. The results show that is possible to develop a system that can identify High risk individuals for gastric cancer. The system can lead to earlier diagnosis, this may facilitate early treatment and reduce gastric cancer mortality rate.

EARLY: a pilot study on early diagnosis of atrial fibrillation in a primary healthcare centre.

PubMed

Benito, Luisa; Coll-Vinent, Blanca; Gómez, Eva; Martí, David; Mitjavila, Joan; Torres, Ferran; Miró, Òscar; Sisó, Antoni; Mont, Lluís

2015-11-01

Atrial fibrillation (AF) is associated with high morbidity and mortality. Early diagnosis is likely to improve therapy and prognosis. The study objective was to evaluate the usefulness of a programme for early diagnosis of AF in patients from an urban primary care centre. Participants were recruited from a randomized sample of patients not diagnosed with AF but having relevant risk factors: age ≥ 65 years, ischaemic and/or valvular heart disease, congestive heart failure, hypertension, and/or diabetes. Patients were randomly assigned to the intervention group (IG) or control group (CG). The intervention included (i) initial visit with clinical history, electrocardiogram, and instruction about pulse palpation and warning signs and (ii) electrocardiogram every 6 months during a 2-year follow-up. The main endpoint of the study was the proportion of new cases diagnosed at 6 months. Secondary endpoints were number of new AF diagnoses and complications associated with the arrhythmia in both groups. A total of 928 patients were included (463 IG and 465 CG). At 6 months, AF was diagnosed in 8 IG patients and 1 CG patient (1.7 vs. 0.2%, respectively, P = 0.018). After 2 years of follow-up, 11 IG patients and 6 CG patients had newly diagnosed AF (2.5 vs. 1.3%, respectively, P = 0.132). Time to first diagnosis of AF was shorter in IG patients [median (inter-quartile range): 7 (192) days vs. 227 (188.5) days in CG, P = 0.029]. The simple screening proposed could be useful for the early detection of AF in primary care. Published on behalf of the European Society of Cardiology. All rights reserved. © The Author 2015. For permissions please email: journals.permissions@oup.com.

Computer-aided diagnosis of leukoencephalopathy in children treated for acute lymphoblastic leukemia

NASA Astrophysics Data System (ADS)

Glass, John O.; Li, Chin-Shang; Helton, Kathleen J.; Reddick, Wilburn E.

2005-04-01

The purpose of this study was to use objective quantitative MR imaging methods to develop a computer-aided diagnosis tool to differentiate white matter (WM) hyperintensities as either leukoencephalopathy (LE) or normal maturational processes in children treated for acute lymphoblastic leukemia with intravenous high dose methotrexate. A combined imaging set consisting of T1, T2, PD, and FLAIR MR images and WM, gray matter, and cerebrospinal fluid a priori maps from a spatially normalized atlas were analyzed with a neural network segmentation based on a Kohonen Self-Organizing Map. Segmented regions were manually classified to identify the most hyperintense WM region and the normal appearing genu region. Signal intensity differences normalized to the genu within each examination were generated for two time points in 203 children. An unsupervised hierarchical clustering algorithm with the agglomeration method of McQuitty was used to divide data from the first examination into normal appearing or LE groups. A C-support vector machine (C-SVM) was then trained on the first examination data and used to classify the data from the second examination. The overall accuracy of the computer-aided detection tool was 83.5% (299/358) with sensitivity to normal WM of 86.9% (199/229) and specificity to LE of 77.5% (100/129) when compared to the readings of two expert observers. These results suggest that subtle therapy-induced leukoencephalopathy can be objectively and reproducibly detected in children treated for cancer using this computer-aided detection approach based on relative differences in quantitative signal intensity measures normalized within each examination.

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

... DEPARTMENT OF HEALTH AND 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...

Chlorophyll as a biomarker for early disease diagnosis

NASA Astrophysics Data System (ADS)

Manzoor Atta, Babar; Saleem, M.; Ali, Hina; Arshad, Hafiz Muhammad Imran; Ahmed, M.

2018-06-01

The current study was designed to identify the stage for the diagnosis of disease before visible symptoms appeared. Fluorescence spectroscopy has been employed to identify disease signatures for its early diagnosis in rice plant leaves. Bacterial leaf blight (BLB) diseased and healthy leaf samples were collected from the rice fields in September, 2017 which were then used to record spectra using an excitation wavelength at 410 nm. The spectral range of emission was set from 420 to 800 nm which covers the blue–green and the chlorophyll bands. It was found that diseased leaves have a narrower ‘chlorophyll a’ band than healthy ones, and furthermore, that the emission band at 730 nm was either declined or depleted in the sample with high infection symptoms. In contrast, the blue–green region was observed to increase due to the emergence of disease. As the band intensity of chlorophyll decreases during infection, this decrease in chlorophyll content and increase in the blue–green spectral region could provide a new approach for predicting BLB at an early stage. The important finding was that the chlorophyll degradation and rise in the blue–green region take place in leaves with BLB or during BLB infection. Principal component analysis has been applied to spectral data which successfully separated diseased samples from healthy ones even with very small spectral variations.

Early diagnosis of Gorlin-Goltz syndrome: case report.

PubMed

Casaroto, Ana R; Loures, Daniela C N Rocha; Moreschi, Eduardo; Veltrini, Vanessa C; Trento, Cleverson L; Gottardo, Vilmar D; Lara, Vanessa S

2011-01-25

The Gorlin-Goltz syndrome, also known as nevoid basal cell carcinoma syndrome (NBCCS), is an infrequent multisystemic disease inherited in a dominant autosomal way, which shows a high level of penetrance and variable expressiveness. It is characterized by keratocystic odontogenic tumors (KCOT) in the jaw, multiple basal cell nevi carcinomas and skeletal abnormities. This syndrome may be diagnosed early by a dentist by routine radiographic exams in the first decade of life, since the KCOTs are usually one of the first manifestations of the syndrome. This article paper reports the case of a patient, a 10-year-old boy with NBCCS, emphasizing its clinical and radiographic manifestations. This study highlights the importance of health professionals in the early diagnosis of NBCCS and in a preventive multidisciplinary approach to provide a better prognosis for the patient.

Predictors of successful early infant diagnosis of HIV in a rural district hospital in Zambézia, Mozambique.

PubMed

Cook, Rebecca E; Ciampa, Philip J; Sidat, Mohsin; Blevins, Meridith; Burlison, Janeen; Davidson, Mario A; Arroz, Jorge A; Vergara, Alfredo E; Vermund, Sten H; Moon, Troy D

2011-04-01

A key challenge inhibiting the timely initiation of pediatric antiretroviral treatment is the loss to follow-up of mothers and their infants between the time of mothers' HIV diagnoses in pregnancy and return after delivery for early infant diagnosis of HIV. We sought to identify barriers to follow-up of HIV-exposed infants in rural Zambézia Province, Mozambique. We determined follow-up rates for early infant diagnosis and age at first test in a retrospective cohort of 443 HIV-infected mothers and their infants. Multivariable logistic regression models were used to identify factors associated with successful follow-up. Of the 443 mother-infant pairs, 217 (49%) mothers enrolled in the adult HIV care clinic, and only 110 (25%) infants were brought for early infant diagnosis. The predictors of follow-up for early infant diagnosis were larger household size (odds ratio [OR], 1.29; 95% confidence interval [CI], 1.09-1.53), independent maternal source of income (OR, 10.8; 95% CI, 3.42-34.0), greater distance from the hospital (OR, 2.14; 95% CI, 1.01-4.51), and maternal receipt of antiretroviral therapy (OR, 3.15; 95% CI, 1.02-9.73). The median age at first test among 105 infants was 5 months (interquartile range, 2-7); 16% of the tested infants were infected. Three of four HIV-infected women in rural Mozambique did not bring their children for early infant HIV diagnosis. Maternal receipt of antiretroviral therapy has favorable implications for maternal health that will increase the likelihood of early infant diagnosis. We are working with local health authorities to improve the linkage of HIV-infected women to HIV care to maximize early infant diagnosis and care.

Early Diagnosis of Clear Cell Kidney Cancer via VHL/HIF Pathway Regulated-Circulating microRNA

DTIC Science & Technology

2016-05-01

Award Number: W81XWH-11-1-0715 TITLE: Early Diagnosis of Clear Cell Kidney Cancer via VHL/HIF Pathway-Regulated Circulating microRNA PRINCIPAL...TITLE AND SUBTITLE Sa. CONTRACT NUMBER Early Diagnosis of Clear Cell Kidney Cancer via VHL/HIF Pathway- Regulated Circulating microRNA Sb. GRANT NUMBER...panel of diagnostic miRNAs that are measurable in serum and will be able to identify kidney cancer in its earliest stages. We hypothesized that serum

Factors predicting early diagnosis of pediatric laryngotracheobronchial foreign bodies.

PubMed

Parida, Pradipta; Nirmal, Nirmal Shanmugasundaram; Gopalakrishnan, Surianarayanan; Saxena, Sunil Kumar

2015-01-01

To study the clinical and radiological findings to make early diagnosis of foreign body (FB) aspiration in children. This prospective study was conducted on 45 children below 12 years of age with a clinical diagnosis of FB aspiration undergone rigid bronchoscopy from September 2008 to may 2010. Bronchoscopy was positive for FB in 37 children. The results of these 37 children (15 female and 22 male) were analyzed. 81% of children were in age group of 1-3 years. Penetration syndrome (sudden onset coughing, choking and gagging when the child is having something in the mouth) (89.2%) and decreased breath sounds (86.5%) were the most common clinical features. Cough, respiratory difficulty and fever were present in 83.8%, 78.4% and 27% respectively. Tachypnoea, tachycardia, chest retractions, decreased chest movements and wheeze were present in 83.3%, 83.3%, 83.3%, 51.4% and 43.2% respectively. Unilateral hyperinflation (64.9%), mediastinal shift (45.9%), and collapse (21.6%) were common radiological sign on chest radiograph and in 13.5% patients the chest X-rays were normal. Sites of FB lodgments were larynx, trachea, right main bronchus, left main bronchus and bilateral bronchi in 10.8%, 10.8%, 35.1%, 37.8 and 5.5% respectively. Food related FBs were present in 30 cases (peanut in 54.1%) and inorganic FBs were present in 7 cases. FBs were removed successfully by rigid bronchoscopy in all cases without any mortality. Penetration syndrome, localized decreased breath sounds, unilateral hyperinflation and/or mediastinal shift on radiology are predictors for early diagnosis of FB aspiration.

2. Newer aids in the diagnosis of blunt abdominal trauma.

PubMed Central

Taylor, B.

1977-01-01

The assessment of a case of blunt abdominal trauma can be complicated by many factors, and the resultant inaccurate or delayed diagnoses have contributed to the unacceptable mortality for this type of injury. Recently several useful diagnostic techniques have been developed that, if applied intelligently, may be instrumental in decreasing the high mortality among patients who present with ambiguous abdominal signs after sustaining blunt trauma. Although hematologic investigation and routine radiography have facilitated detection of intraperitoneal injury, peritoneal lavage has become the single most helpful aid. Scanning procedures are sometimes useful in recognizing splenic and hepatic defects especially; these may be confirmed or clarified by angiography. Although ultrasonography may be no more valuable than scintigraphy in outlining splenic and hepatic abnormalities, it is an important technique, especially in the diagnosis of retroperitoneal masses of traumatic origin. Laparoscopy also may be helpful in investigation if surgeons become more familiar with the procedure. Images FIG. 1 FIG. 2 FIG. 3 FIG. 4 PMID:608158

Clinical impact of early diagnosis of autism on the prognosis and parent-child relationships.

PubMed

Elder, Jennifer Harrison; Kreider, Consuelo Maun; Brasher, Susan N; Ansell, Margaret

2017-01-01

Autism spectrum disorder (ASD) refers to a lifelong condition that usually appears in late infancy or early childhood, and is characterized by social and communication deficits that impede optimal functioning. Despite widespread research and greater public awareness, ASD has an unclear etiology and no known cure, making it difficult to acquire accurate and timely diagnoses. In addition, once an ASD diagnosis is made, parents find it challenging to navigate the healthcare system and determine which interventions are most effective and appropriate for their child. A growing body of evidence supports the value of early diagnosis and treatment with evidence-based interventions, which can significantly improve the quality of life of individuals with ASD as well as of their carers and families. Particularly noteworthy are early interventions that occur in natural surroundings and can be modified to address age-related goals throughout the lifespan. Therefore, the purpose of this review is to: 1) provide readers with a brief background related to ASD; 2) describe commonly used screening instruments and tools for early diagnosis; 3) describe early interventions that have empirical support; and 4) discuss how the parent-child and family relationships can be affected through this process. This information can provide professionals with information they can use to assist families who make critical and potentially life-changing decisions for children with ASD.

Multi-Domain Transfer Learning for Early Diagnosis of Alzheimer’s Disease

PubMed Central

Cheng, Bo; Liu, Mingxia; Li, Zuoyong

2017-01-01

Recently, transfer learning has been successfully applied in early diagnosis of Alzheimer’s Disease (AD) based on multi-domain data. However, most of existing methods only use data from a single auxiliary domain, and thus cannot utilize the intrinsic useful correlation information from multiple domains. Accordingly, in this paper, we consider the joint learning of tasks in multi-auxiliary domains and the target domain, and propose a novel Multi-Domain Transfer Learning (MDTL) framework for early diagnosis of AD. Specifically, the proposed MDTL framework consists of two key components: 1) a multi-domain transfer feature selection (MDTFS) model that selects the most informative feature subset from multi-domain data, and 2) a multidomain transfer classification (MDTC) model that can identify disease status for early AD detection. We evaluate our method on 807 subjects from the Alzheimer’s Disease Neuroimaging Initiative (ADNI) database using baseline magnetic resonance imaging (MRI) data. The experimental results show that the proposed MDTL method can effectively utilize multi-auxiliary domain data for improving the learning performance in the target domain, compared with several state-of-the-art methods. PMID:27928657

Salivary fistula: Blue dye testing as part of an algorithm for early diagnosis

PubMed Central

Kiong, Kimberley L.; Tan, Ngian Chye; Skanthakumar, Thakshayeni; Teo, Constance E.H.; Soo, Khee Chee; Tan, Hiang Khoon; Roche, Elizabeth; Yee, Kaisin

2017-01-01

Objective Orocutaneous and pharyngocutaneous fistula (OPCF) is a debilitating complication of head and neck surgery for squamous cell carcinoma (SCC), resulting in delayed adjuvant treatment and prolonged hospitalization. As yet, there is no established test that can help in prompt and accurate diagnosis of OPCF. This study aims to determine the accuracy of bedside blue dye testing and its role as part of an algorithm for early diagnosis. We also analyze the risk factors predisposing to OPCF. Study Design Retrospective cohort study from 2012 to 2014. Methods Patients with head and neck SCC who underwent major resection and reconstruction, at risk of OPCF, were included. Results of blue‐dye and video‐fluoroscopic swallow‐studies (VFSS) testing for OPCF were recorded. For the patients that were noted to develop OPCF, the length of time to diagnosis of fistula and subsequent mode of management were examined. Results Of the 93 patients in this study, 25 (26.9%) developed OPCF. Advanced T‐classification (T3/T4) was the only significant predisposing risk factor (p = 0.013). The sensitivity and specificity of the bedside blue dye testing was found to be 36.4% and 100%, respectively. The test positive patients were diagnosed with OPCF at a median of postoperative day (POD) 9.5 as compared to POD 13 for the test negative patients (p = 0.001). Early diagnosis was associated with faster fistula resolution with treatment. Conclusion Blue dye testing is a simple bedside test that can assist in the early diagnosis of OPCF in patients, allowing treatment to be instituted earlier with improved outcomes. Level of Evidence 3 PMID:29299509

HIV/AIDS epidemic in French Guiana: 1979-1997. Groupe d'Etude Clinique de l'Infection VIH en Guyane Française.

PubMed

Sobesky, M; Dabis, F; Le Beux, P

2000-06-01

The incidence of AIDS in French Guiana remains one of the highest in Latin America and the Caribbean. The annual AIDS incidence rate increased continually from the start of the epidemic until 1995, when it reached 59.3/100,000 population declining thereafter to 26.6 in 1997. The prevalence of HIV in pregnant women was 0.9% in 1993, increasing to 1.3% in 1995, and that in individuals attending sexually transmitted disease (STD) clinics was 2.1% in 1996. We included 224 patients in a study of survival after AIDS diagnosis. The principal AIDS-defining diagnosis was tuberculosis in 20.5% of reported cases. The median duration of survival was 10.2 months. Multivariate analysis showed that, patients > or = 45 years at entry progressed more rapidly to AIDS than younger patients. HIV prevention and access to health care should be developed in the various ethnic communities and adapted to cultural status. The progressive implementation of multiple antiretroviral therapies since 1996 may further reduce progression of the disease but early HIV diagnosis is required to improve the overall prognosis of HIV-infected patients.

Possible effects of an early diagnosis and treatment in patients with growth hormone deficiency: the state of art.

PubMed

Stagi, Stefano; Scalini, Perla; Farello, Giovanni; Verrotti, Alberto

2017-09-16

Growth hormone deficiency (GHD) is a relatively uncommon and heterogeneous endocrine disorder presenting in childhood with short stature. However, during the neonatal period, the metabolic effects of GHD may to require prompt replacement therapy to avoid possible life-threatening complications. An increasing amount of data suggests the importance of an early diagnosis and treatment of GHD because of its auxological, metabolic, and neurodevelopmental features with respect to the patients diagnosed and treated later in life.The available results show favourable auxological outcomes for patients with GHD diagnosed and treated with r-hGH early in life compared with those from patients with GHD who do not receive this early diagnosis and treatment. Because delayed referral for GHD diagnosis and treatment is still frequent, these results highlight the need for more attention in the diagnosis and treatment of GHD.Despite these very encouraging data regarding metabolic and neurodevelopmental features, further studies are needed to better characterize these findings. Overall, the importance of early diagnosis and treatment of GHD needs to be addressed.

Role of MRI in the early diagnosis of tubal ectopic pregnancy.

PubMed

Si, Ming-Jue; Gui, Shuang; Fan, Qin; Han, Hong-Xiu; Zhao, Qian-Qian; Li, Zhi-Xin; Zhao, Jiang-Min

2016-07-01

To determine the role of MRI in the early diagnosis of tubal ectopic pregnancy (EP). Clinical and MRI features of 27 cases of tubal pregnancy were reviewed. A thick-walled gestational sac (GS)-like structure was demonstrated lateral to the uterus in all cases. On T2-weighted images, the thick wall typically exhibited 3 discrete rings in 22 cases (81 %), among which 17 cases (63 %) displayed small vessels and 6 cases (33 %) exhibited small areas of fresh haemorrhage inside the thick wall. The contents demonstrated non-specific liquid in 26 %, papillary solid components in 56 %, and fresh blood or fluid-fluid level in 19 % of the cases. Dilatation of the affected fallopian tube associated with hematosalpinx was demonstrated in 18 cases (67 %) and marked enhancement of the tubal wall was observed in 22 cases (81 %). No correlation was found between the size of the GS and the estimated gestational age (r = 0.056). MRI plays an important role in the early diagnosis and management of tubal pregnancy. The characteristic MRI features include a GS-like structure with a "three rings" appearance on T2-weighted images, presence of solid components in the sac, dilatation of the affected fallopian tube with hematosalpinx, and tubal wall enhancement. • MR imaging has served as a problem-solving procedure in ectopic pregnancy. • MR imaging features can be criteria for early diagnosis of tubal pregnancy. • Detailed assessment of ectopic implantation is necessary for management decision-making.

Current and emerging technologies in melanoma diagnosis: the state of the art

PubMed Central

Psaty, Estee L.; Halpern, Allan C.

2017-01-01

Relative to other specialties, dermatologists have been slow to adopt advanced technologic diagnostic aids. After all, most skin disease can be diagnosed by simple visual inspection, and the skin is readily accessible for a diagnostic biopsy. Diagnostic aids such as total body photography and dermoscopy improve the clinician's ability to diagnose melanoma beyond unaided visual inspection, however, and are now considered mainstream methods for early detection. Emerging technologies such as in vivo reflectance confocal microscopy are currently being investigated to determine their utility for noninvasive diagnosis of melanoma. This review summarizes the currently available cutaneous imaging devices and new frontiers in noninvasive diagnosis of skin disease. We anticipate that multimodal systems that combine different imaging technologies will further improve our ability to detect, at the bedside, melanoma at an earlier stage. PMID:19095152

HIV/AIDS Researchers Interaction with Schoolteachers: A Key to Combat AIDS among Brazilian Adolescents

ERIC Educational Resources Information Center

Kashima, Simone; de Castro, Fabiola Attie; de Castro Amarante, Maria Fernanda; Barbieri, Marisa Ramos; Covas, Dimas Tadeu

2008-01-01

Considering the fact that information on HIV/AIDS is a strategy for disease control, this project was planned to provide comprehensive information about HIV infection and AIDS to schoolteachers and their students. Previous analysis of adolescent students' knowledge of HIV/AIDS showed that they still have doubts about transmission, diagnosis, and…

HIV- and AIDS-associated cancers.

PubMed

Carr, Ellen R

2013-04-01

One of the most significant world epidemics in history, HIV/AIDS, has been a research priority since its discovery in 1981. This review article provides an update on HIV/AIDS, with a specific focus on the diagnosis and care of patients with HIV- and AIDS-associated cancers.

EEG-Based Computer Aided Diagnosis of Autism Spectrum Disorder Using Wavelet, Entropy, and ANN

PubMed Central

AlSharabi, Khalil; Ibrahim, Sutrisno; Alsuwailem, Abdullah

2017-01-01

Autism spectrum disorder (ASD) is a type of neurodevelopmental disorder with core impairments in the social relationships, communication, imagination, or flexibility of thought and restricted repertoire of activity and interest. In this work, a new computer aided diagnosis (CAD) of autism ‎based on electroencephalography (EEG) signal analysis is investigated. The proposed method is based on discrete wavelet transform (DWT), entropy (En), and artificial neural network (ANN). DWT is used to decompose EEG signals into approximation and details coefficients to obtain EEG subbands. The feature vector is constructed by computing Shannon entropy values from each EEG subband. ANN classifies the corresponding EEG signal into normal or autistic based on the extracted features. The experimental results show the effectiveness of the proposed method for assisting autism diagnosis. A receiver operating characteristic (ROC) curve metric is used to quantify the performance of the proposed method. The proposed method obtained promising results tested using real dataset provided by King Abdulaziz Hospital, Jeddah, Saudi Arabia. PMID:28484720

Diagnostic Flow Cytometry and the AIDS Pandemic.

PubMed

Clift, Ian C

2015-01-01

The onset of the AIDS pandemic in the early 1980s coincided with the convergence of technologies now collectively known as flow cytometry (FCM). Major advances in FCM led significantly toward our understanding of the pathogenicity of the disease, which in turn led to wider adoption of the technology, including using it effectively in a variety of diagnostics. CD4+ T lymphocyte population counts, along with human immunodeficiency virus (HIV) viral load, remain the gold standard in diagnosis and continue to play a major role in the monitoring of advanced retroviral therapies. Arguably, the spread of AIDS (acquired immunodeficiency syndrome), the HIV virus, and the toll of the virus on humanity have been considerably altered by the concurrent development of FCM, the details of which are presented herein. Copyright© by the American Society for Clinical Pathology (ASCP).

EARLY DIAGNOSIS IN POST RENAL TRANSPLANT OPPORTUNISTIC INFECTIONS: A FRESH LOOK.

PubMed

Chopra, G S; Narula, A S; Reddy, P S; Bhardwaj, J R

1999-04-01

A total of 86 renal transplant patients who were transplanted with live related donor (LRD) and live unrelated donor (LURD) kidneys were studied for opportunistic infections. Immune diagnosis of Toxoplasma, Cytomegalovirus (CMV), Herpes-simplex virus type II (HSV-2), Aspergillosis and Tuberculosis was carried out in these patients along with sputum examination, CSF studies and biopsy of lymphnode and other tissues in few cases. A high degree of Toxoplasma, CMV & HSV-2 positivity was seen in transplanted patients. However sensitivity of serological diagnosis of tuberculos was found to be low with standard criteria, which increased significantly when modified criteria were used. It is concluded that regular immunological monitoring should be carried out in transplanted patients so as to reach an early diagnosis and management of opportunistic infections.

[Early diagnosis and prognosis evaluation of Bell palsy with blink reflex ].

PubMed

Xie, Dan-dan; Li, Xiao-song; Liu, Yuan-yuan

2014-11-01

To determine the value of blink reflex in early diagnosis and prognosis evaluation of Bell palsy. Blink reflex and facial nerve conduction were examined in 58 patients with Bell palsy within one week after symptom onset. The patients without response of R1 , R2 and R2 ' waves were classified as complete efferent retardarce (Group A, 30 cases), and those with response of R1 , R2 and R2 ' waves were classified as incomplete efferent anomalies (Group B, 28 cases). The clinical outcomes after three months of systemic therapy were evaluated using the House-Blackmann (H-B) scale. Efferent anomalies of blink reflex occurred in ail of the 58 patients. Abnormal results of facial nerve conduction appeared in 23 (39. 7%) patients. The three months therapy was effective in 93% patients in Group B and 70% patients in Group A (P<0. 05). Blink reflex can play a significant role in early diagnosis and prognosis evaluation of Bell palsy.

A tool for computer-aided diagnosis of retinopathy of prematurity

NASA Astrophysics Data System (ADS)

Zhao, Zheen; Wallace, David K.; Freedman, Sharon F.; Aylward, Stephen R.

2008-03-01

In this paper we present improvements to a software application, named ROPtool, that aids in the timely and accurate detection and diagnosis of retinopathy of prematurity (ROP). ROP occurs in 68% of infants less than 1251 grams at birth, and it is a leading cause of blindness for prematurely born infants. The standard of care for its diagnosis is the subjective assessment of retinal vessel dilation and tortuosity. There is significant inter-observer variation in those assessments. ROPtool analyzes retinal images, extracts user-selected blood vessels from those images, and quantifies the tortuosity of those vessels. The presence of ROP is then gauged by comparing the tortuosity of an infant's retinal vessels with measures made from a clinical-standard image of severely tortuous retinal vessels. The presence of such tortuous retinal vessels is referred to as 'plus disease'. In this paper, a novel metric of tortuosity is proposed. From the ophthalmologist's point of view, the new metric is an improvement from our previously published algorithm, since it uses smooth curves instead of straight lines to simulate 'normal vessels'. Another advantage of the new ROPtool is that minimal user interactions are required. ROPtool utilizes a ridge traversal algorithm to extract retinal vessels. The algorithm reconstructs connectivity along a vessel automatically. This paper supports its claims by reporting ROC curves from a pilot study involving 20 retinal images. The areas under two ROC curves, from two experts in ROP, using the new metric to diagnose 'tortuosity sufficient for plus disease', varied from 0.86 to 0.91.

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.

An interactive system for computer-aided diagnosis of breast masses.

PubMed

Wang, Xingwei; Li, Lihua; Liu, Wei; Xu, Weidong; Lederman, Dror; Zheng, Bin

2012-10-01

Although mammography is the only clinically accepted imaging modality for screening the general population to detect breast cancer, interpreting mammograms is difficult with lower sensitivity and specificity. To provide radiologists "a visual aid" in interpreting mammograms, we developed and tested an interactive system for computer-aided detection and diagnosis (CAD) of mass-like cancers. Using this system, an observer can view CAD-cued mass regions depicted on one image and then query any suspicious regions (either cued or not cued by CAD). CAD scheme automatically segments the suspicious region or accepts manually defined region and computes a set of image features. Using content-based image retrieval (CBIR) algorithm, CAD searches for a set of reference images depicting "abnormalities" similar to the queried region. Based on image retrieval results and a decision algorithm, a classification score is assigned to the queried region. In this study, a reference database with 1,800 malignant mass regions and 1,800 benign and CAD-generated false-positive regions was used. A modified CBIR algorithm with a new function of stretching the attributes in the multi-dimensional space and decision scheme was optimized using a genetic algorithm. Using a leave-one-out testing method to classify suspicious mass regions, we compared the classification performance using two CBIR algorithms with either equally weighted or optimally stretched attributes. Using the modified CBIR algorithm, the area under receiver operating characteristic curve was significantly increased from 0.865 ± 0.006 to 0.897 ± 0.005 (p < 0.001). This study demonstrated the feasibility of developing an interactive CAD system with a large reference database and achieving improved performance.

Noninvasive optical diagnosis of low back pain with the aid of Chinese cupping procedure

NASA Astrophysics Data System (ADS)

Li, Nanxi; Li, Ting

2018-02-01

Low back pain (LBP) is a complex disease that can be cause by a variety of reasons. Now LBP has become a very common and severe disease among kinds of occupational groups with showing a younger trend. The traditional diagnosis relies on complicated imaging modalities and other dangerous and invasive methods. Noninvasive near-infrared spectroscopy (NIRS) is noninvasive and convenient, and has been successful used in point-of-care diagnosis. Here, we attempt to explore NIRS's application in in low back pain diagnosis and the effect of aid-use of Chinese cupping procedure. 13 LBP patients and 13 healthy subjects participated in NIRS measurements of concentrations of oxy- and deoxy-hemoglobins (Δ[HbO2] and Δ[Hb]) at the middle of the lumbar spine. It was showed that there was significant differences (p < 0.001) between healthy subjects and LBP patients after cupping procedure, while insignificant before cupping. Moreover, it was found that healthy subjects showed stronger responses to cupping procedure than LBP patients, with prominently higher concentration of Δ[HbO2] and Δ[Hb]. It indicates the potential of NIRS in noninvasive, measurable and straightforward monitoring/therapeutic effect evaluation of LBP with bedside and point-of-care monitoring capability.

Early Oscillation Detection for Hybrid DC/DC Converter Fault Diagnosis

NASA Technical Reports Server (NTRS)

Wang, Bright L.

2011-01-01

This paper describes a novel fault detection technique for hybrid DC/DC converter oscillation diagnosis. The technique is based on principles of feedback control loop oscillation and RF signal modulations, and Is realized by using signal spectral analysis. Real-circuit simulation and analytical study reveal critical factors of the oscillation and indicate significant correlations between the spectral analysis method and the gain/phase margin method. A stability diagnosis index (SDI) is developed as a quantitative measure to accurately assign a degree of stability to the DC/DC converter. This technique Is capable of detecting oscillation at an early stage without interfering with DC/DC converter's normal operation and without limitations of probing to the converter.

Understanding Predictors of Early Antenatal Care Initiation in Relationship to Timing of HIV Diagnosis in South Africa.

PubMed

Nattey, Cornelius; Jinga, Nelly; Mongwenyana, Constance; Mokhele, Idah; Mohomi, Given; Fox, Matthew P; Onoya, Dorina

2018-06-01

Effective prevention of mother-to-child transmission benefits from early presentation to antenatal care (ANC). It is, however, unclear whether a previous HIV diagnosis results in earlier initiation of ANC. We estimated the probability of early ANC initiation among women with a previous HIV-positive diagnosis compared to those who first tested for HIV during ANC and explored determinants of early ANC among HIV-positive women. We conducted an analysis of a cross-sectional survey among 411 HIV-positive adult (>18 years) women who gave birth at midwife obstetrics units in Gauteng between October 2016 and May 2017. Predictors of early ANC (defined as initiating ANC before or at 14 weeks of gestation) were assessed by multivariate log-binomial regression model. Overall, 51% (210) were diagnosed during pregnancy with 89% (188) initiating antiretroviral therapy on the same day of diagnosis. There was no meaningful difference in the timing of ANC initiation between women with previous HIV diagnosis [adjusted risk ratio (aRR) = 1.2; 95% confidence interval (95% CI): 0.9-1.7] compared with those diagnosed during pregnancy. Early ANC was predicted by planned pregnancy [aRR = 1.3; 95% CI: 1.1-1.7], parity (>2 children) [aRR = 0.6; 95% CI: 0.2-0.9] compared to not having a child, and tuberculosis diagnosis [aRR = 2.9; 95% CI: 1.4-6.1]. Our results suggest the need for a targeted intervention among HIV-positive women by improving the quality, content and outreach of ANC services to enhance early ANC uptake, and minimize mother-to-child transmission risk.

Attitudes of the German General Population toward Early Diagnosis of Dementia – Results of a Representative Telephone Survey

PubMed Central

Luck, Tobias; Luppa, Melanie; Sieber, Jennifer; Schomerus, Georg; Werner, Perla; König, Hans-Helmut; Riedel-Heller, Steffi G.

2012-01-01

Background Early detection of dementia has clearly improved. Even though none of the currently available treatments for the most common form of dementia, Alzheimer’s dementia, promises a cure, early diagnosis provides several benefits for patients, caregivers, and health care systems. This study aimed to describe attitudes toward early diagnosis of dementia in the German general population. Methods A representative telephone survey of the German population aged 18+ years (n = 1,002) was conducted in 2011. Results The majority of respondents (69%) would be willing to be examined for early diagnosis of dementia. Almost two thirds reported that they would prefer their general practitioner (GP) as the first source of professional help. More than half of the respondents (55%) stated their belief that dementia could be prevented. Respondents mostly indicated psychosocial prevention options. Conclusions Our findings suggest that the general population in Germany is very open to early diagnosis of dementia; however, this seems connected with large expectations on the effectiveness of prevention options. Dementia awareness campaigns may be employed to carefully inform the public about the prevention options currently available and their efficacy. To exploit GPs’ potential as a gatekeeper for early detection of dementia, their ability to identify patients with antecedent and mild stages of the disease must be improved. PMID:23209827

Computer-Aided Diagnosis System for Alzheimer's Disease Using Different Discrete Transform Techniques.

PubMed

Dessouky, Mohamed M; Elrashidy, Mohamed A; Taha, Taha E; Abdelkader, Hatem M

2016-05-01

The different discrete transform techniques such as discrete cosine transform (DCT), discrete sine transform (DST), discrete wavelet transform (DWT), and mel-scale frequency cepstral coefficients (MFCCs) are powerful feature extraction techniques. This article presents a proposed computer-aided diagnosis (CAD) system for extracting the most effective and significant features of Alzheimer's disease (AD) using these different discrete transform techniques and MFCC techniques. Linear support vector machine has been used as a classifier in this article. Experimental results conclude that the proposed CAD system using MFCC technique for AD recognition has a great improvement for the system performance with small number of significant extracted features, as compared with the CAD system based on DCT, DST, DWT, and the hybrid combination methods of the different transform techniques. © The Author(s) 2015.

Controlling fear: Jordanian women's perceptions of the diagnosis and surgical treatment of early-stage breast cancer.

PubMed

Obeidat, Rana F; Dickerson, Suzanne S; Homish, Gregory G; Alqaissi, Nesreen M; Lally, Robin M

2013-01-01

Despite the fact that breast cancer is the most prevalent cancer among Jordanian women, practically nothing is known about their perceptions of early-stage breast cancer and surgical treatment. The objective of this study was to gain understanding of the diagnosis and surgical treatment experience of Jordanian women with a diagnosis of early-stage breast cancer. An interpretive phenomenological approach was used for this study. A purposive sample of 28 Jordanian women who were surgically treated for early-stage breast cancer within 6 months of the interview was recruited. Data were collected using individual interviews and analyzed using Heideggerian hermeneutical methodology. Fear had a profound effect on Jordanian women's stories of diagnosis and surgical treatment of early-stage breast cancer. Women's experience with breast cancer and its treatment was shaped by their preexisting fear of breast cancer, the disparity in the quality of care at various healthcare institutions, and sociodemographic factors (eg, education, age). Early after the diagnosis, fear was very strong, and women lost perspective of the fact that this disease was treatable and potentially curable. To control their fears, women unconditionally trusted God, the healthcare system, surgeons, family, friends, and/or neighbors and often accepted treatment offered by their surgeons without questioning. Jordanian healthcare providers have a responsibility to listen to their patients, explore meanings they ascribe to their illness, and provide women with proper education and the support necessary to help them cope with their illness.

Positron emission tomography as an aid in the diagnosis and follow-up of Riedel's thyroiditis.

PubMed

Kotilainen, Pirkko; Airas, Laura; Kojo, Tiina; Kurki, Timo; Kataja, Kaisa; Minn, Heikki; Nuutila, Pirjo

2004-06-01

We describe the usage of positron emission tomography (PET) as an aid in the initial diagnosis and follow-up of Riedel's thyroiditis. A 41-year-old patient was admitted for an enlarged and tender thyroid gland in association with severe systemic symptoms of inflammation. Imaging with fluorine-18 fluorodeoxyglucose (FDG) and PET demonstrated an intensive uptake of FDG in both lobes of the thyroid gland as an indication of severe inflammation. The diagnosis of Riedel's thyroiditis was confirmed by the histological findings of biopsy specimens taken during a palliative thyroid resection. The inflammatory symptoms and local pain dramatically disappeared after commencement of high-dose corticosteroid therapy. A follow-up PET scan after 2 weeks of corticosteroid treatment showed a 60% decrease in the uptake of FDG in the thyroid. This indicates that FDG metabolic activity can also be used to assess a patient's response to therapy in Riedel's thyroiditis.

Computer-aided diagnosis of melanoma using border and wavelet-based texture analysis.

PubMed

Garnavi, Rahil; Aldeen, Mohammad; Bailey, James

2012-11-01

This paper presents a novel computer-aided diagnosis system for melanoma. The novelty lies in the optimised selection and integration of features derived from textural, borderbased and geometrical properties of the melanoma lesion. The texture features are derived from using wavelet-decomposition, the border features are derived from constructing a boundaryseries model of the lesion border and analysing it in spatial and frequency domains, and the geometry features are derived from shape indexes. The optimised selection of features is achieved by using the Gain-Ratio method, which is shown to be computationally efficient for melanoma diagnosis application. Classification is done through the use of four classifiers; namely, Support Vector Machine, Random Forest, Logistic Model Tree and Hidden Naive Bayes. The proposed diagnostic system is applied on a set of 289 dermoscopy images (114 malignant, 175 benign) partitioned into train, validation and test image sets. The system achieves and accuracy of 91.26% and AUC value of 0.937, when 23 features are used. Other important findings include (i) the clear advantage gained in complementing texture with border and geometry features, compared to using texture information only, and (ii) higher contribution of texture features than border-based features in the optimised feature set.

AIDS-related Kaposi sarcoma: findings on thallium-201 scintigraphy

DOE Office of Scientific and Technical Information (OSTI.GOV)

Lee, V.W.; Rosen, M.P.; Baum, A.

1988-12-01

No simple, noninvasive method is available for evaluating extracutaneous Kaposi sarcoma in AIDS patients or for following the tumor's response to treatment. We report our preliminary experience with thallium-201 scintigraphy in nine AIDS patients with proved Kaposi sarcoma. Eight of the nine had abnormal uptake of the radionuclide in skin, lymph nodes, oral cavity, vagina, and lungs. Only four of the nine had cutaneous Kaposi sarcoma at the time of scanning. All cutaneous and mucosal lesions were thallium avid. Two of the six patients with thallium-avid nodes underwent nodal biopsy. Both biopsies confirmed the diagnosis of Kaposi sarcoma. Cutaneous Kaposimore » sarcoma developed later in one of these patients, showing the efficacy of thallium scintigraphy for the early detection of extracutaneous lesions. These preliminary results show thallium avidity in Kaposi sarcoma involving the skin and various extracutaneous sites (lymph nodes, lung, mucosa, and vagina). Thallium scintigraphy is a potentially useful procedure for detecting extracutaneous Kaposi sarcoma in AIDS patients.« less

Support of the Laboratory in the Diagnosis of Fungal Ocular Infections

PubMed Central

Vanzzini Zago, Virginia; Alcantara Castro, Marino; Naranjo Tackman, Ramon

2012-01-01

This is a retrospective, and descriptive study about the support that the laboratory of microbiology aids can provide in the diagnosis of ocular infections in patients whom were attended a tertiary-care hospital in México City in a 10-year-time period. We describe the microbiological diagnosis in palpebral mycose; in keratitis caused by Fusarium, Aspergillus, Candida, and melanized fungi; endophthalmitis; one Histoplasma scleritis and one mucormycosis. Nowadays, ocular fungal infections are more often diagnosed, because there is more clinical suspicion and there are easy laboratory confirmations. Correct diagnosis is important because an early medical treatment gives a better prognosis for visual acuity. In some cases, fungal infections are misdiagnosed and the antifungal treatment is delayed. PMID:22518339

Factors influencing early referral, early diagnosis and management in patients with diffuse cutaneous systemic sclerosis.

PubMed

Distler, Oliver; Allanore, Yannick; Denton, Christopher P; Matucci-Cerinic, Marco; Pope, Janet E; Hinzmann, Barbara; Davies, Siobhan; de Oliveira Pena, Janethe; Khanna, Dinesh

2018-05-01

To gain insight into clinical practice regarding referral, early diagnosis and other aspects of the management of patients with dcSSc in Europe and the USA. Semi-structured interviews were conducted with 84 rheumatologists (or internal medicine physicians) and 40 dermatologists in different countries (the UK, France, Germany, Italy, Spain and the USA). Physicians were asked to identify key steps in the patient pathway relating to patient presentation, diagnosis and referral, in addition to other treatment and follow-up processes. The interviewed physicians reported that late presentation with dcSSc was common, with some patients presenting to primary care physicians after symptoms had persisted for up to 1 year. Awareness of dcSSc is reported to vary widely among primary care physicians. Final diagnosis, generally following guideline-based recommendations, was by rheumatologists in most cases (or internal medicine physicians in France) and they remained responsible for global patient management, with lesser involvement in diagnosis and management by dermatologists. Specialist centres were not well defined and did not exist in all countries. Patients and primary healthcare providers can be unaware of the symptoms of dcSSc, therefore presentation and referral to specialist care are often late. Thus, improved awareness among patients and primary care physicians is necessary to facilitate earlier referral and diagnosis. Once referred, more consistent use of the modified Rodnan skin score at diagnosis and follow-up may help to monitor disease progression. Furthermore, establishing specialist centres may help to promote such changes and improve patient care.

Early diagnosis of lymph node metastasis: Importance of intranodal pressures.

PubMed

Miura, Yoshinobu; Mikada, Mamoru; Ouchi, Tomoki; Horie, Sachiko; Takeda, Kazu; Yamaki, Teppei; Sakamoto, Maya; Mori, Shiro; Kodama, Tetsuya

2016-03-01

Regional lymph node status is an important prognostic indicator of tumor aggressiveness. However, early diagnosis of metastasis using intranodal pressure, at a stage when lymph node size has not changed significantly, has not been investigated. Here, we use an MXH10/Mo-lpr/lpr mouse model of lymph node metastasis to show that intranodal pressure increases in both the subiliac lymph node and proper axillary lymph node, which are connected by lymphatic vessels, when tumor cells are injected into the subiliac lymph node to induce metastasis to the proper axillary lymph node. We found that intranodal pressure in the subiliac lymph node increased at the stage when metastasis was detected by in vivo bioluminescence, but when proper axillary lymph node volume (measured by high-frequency ultrasound imaging) had not increased significantly. Intravenously injected liposomes, encapsulating indocyanine green, were detected in solid tumors by in vivo bioluminescence, but not in the proper axillary lymph node. Basic blood vessel and lymphatic channel structures were maintained in the proper axillary lymph node, although sinus histiocytosis was detected. These results show that intranodal pressure in the proper axillary lymph node increases at early stages when metastatic tumor cells have not fully proliferated. Intranodal pressure may be a useful parameter for facilitating early diagnosis of lymph node metastasis. © 2015 The Authors. Cancer Science published by John Wiley & Sons Australia, Ltd on behalf of Japanese Cancer Association.

Clinical Prediction and Diagnosis of Neurosyphilis in HIV-Infected Patients with Early Syphilis

PubMed Central

Langevin, Stéphanie; Gagnon, Simon; Serhir, Bouchra; Deligne, Benoît; Tremblay, Cécile; Tsang, Raymond S. W.; Fortin, Claude; Coutlée, François; Roger, Michel

2013-01-01

The diagnosis of neurosyphilis (NS) is a challenge, especially in HIV-infected patients, and the criteria for deciding when to perform a lumbar puncture (LP) in HIV-infected patients with syphilis are controversial. We retrospectively reviewed demographic, clinical, and laboratory data from 122 cases of HIV-infected patients with documented early syphilis who underwent an LP to rule out NS, and we evaluated 3 laboratory-developed validated real-time PCR assays, the Treponema pallidum particle agglutination (TPPA) assay, the fluorescent treponemal antibody absorption (FTA-ABS) assay, and the line immunoassay INNO-LIA Syphilis, for the diagnosis of NS from cerebrospinal fluid (CSF) samples of these patients. NS was defined by a reactive CSF-VDRL test result and/or a CSF white blood cell (WBC) count of >20 cells/μl. Thirty of the 122 patients (24.6%) had early NS. Headache, visual symptoms, a CD4 cell count of <500 cells/μl, and viremia, as defined by an HIV-1 RNA count of ≥50 copies/ml, were associated with NS in multivariate analysis (P = <0.001 for each factor). Blood serum rapid plasma reagin (RPR) titers were not associated with early NS (P = 0.575). For the diagnosis of NS, the PCR, FTA-ABS, TPPA, and INNO-LIA assays had sensitivities of 58%, 100%, 68%, and 100%, specificities of 67%, 12%, 49%, and 13%, and negative predictive values of 85%, 100%, 84%, and 100%, respectively. Visual disturbances, headache, uncontrolled HIV-1 viremia, and a CD4 cell count of <500 cells/μl were predictors of NS in HIV-infected patients with early syphilis, while blood serum RPR titers were not; therefore, RPR titers should not be used as the sole criterion for deciding whether to perform an LP in early syphilis. When applied to CSF samples, the INNO-LIA Syphilis assay easily helped rule out NS. PMID:24088852

Clinical prediction and diagnosis of neurosyphilis in HIV-infected patients with early Syphilis.

PubMed

Dumaresq, Jeannot; Langevin, Stéphanie; Gagnon, Simon; Serhir, Bouchra; Deligne, Benoît; Tremblay, Cécile; Tsang, Raymond S W; Fortin, Claude; Coutlée, François; Roger, Michel

2013-12-01

The diagnosis of neurosyphilis (NS) is a challenge, especially in HIV-infected patients, and the criteria for deciding when to perform a lumbar puncture (LP) in HIV-infected patients with syphilis are controversial. We retrospectively reviewed demographic, clinical, and laboratory data from 122 cases of HIV-infected patients with documented early syphilis who underwent an LP to rule out NS, and we evaluated 3 laboratory-developed validated real-time PCR assays, the Treponema pallidum particle agglutination (TPPA) assay, the fluorescent treponemal antibody absorption (FTA-ABS) assay, and the line immunoassay INNO-LIA Syphilis, for the diagnosis of NS from cerebrospinal fluid (CSF) samples of these patients. NS was defined by a reactive CSF-VDRL test result and/or a CSF white blood cell (WBC) count of >20 cells/μl. Thirty of the 122 patients (24.6%) had early NS. Headache, visual symptoms, a CD4 cell count of <500 cells/μl, and viremia, as defined by an HIV-1 RNA count of ≥50 copies/ml, were associated with NS in multivariate analysis (P = <0.001 for each factor). Blood serum rapid plasma reagin (RPR) titers were not associated with early NS (P = 0.575). For the diagnosis of NS, the PCR, FTA-ABS, TPPA, and INNO-LIA assays had sensitivities of 58%, 100%, 68%, and 100%, specificities of 67%, 12%, 49%, and 13%, and negative predictive values of 85%, 100%, 84%, and 100%, respectively. Visual disturbances, headache, uncontrolled HIV-1 viremia, and a CD4 cell count of <500 cells/μl were predictors of NS in HIV-infected patients with early syphilis, while blood serum RPR titers were not; therefore, RPR titers should not be used as the sole criterion for deciding whether to perform an LP in early syphilis. When applied to CSF samples, the INNO-LIA Syphilis assay easily helped rule out NS.

The Primary Care Physician in the Early Diagnosis of Systemic Sclerosis: the Cornerstone of Recognition and Hope

PubMed Central

Saketkoo, Lesley Ann; Magnus, Jeanette H.; Doyle, Mittie K.

2013-01-01

Systemic sclerosis (SSc) is a disease of unknown etiology that manifests as a heterogeneous group of multi-organ system manifestations and is characterized by vasculopathy and fibrosis of the skin and internal organs, with mortality related to pulmonary, cardiac, renal or gastrointestinal involvement. The prevalence of SSc may be underestimated in the general population. Cases are often undiagnosed or misdiagnosed, particularly cases with mild or no skin manifestations. Due to late referrals to rheumatologic care, many moderate-to-severe cases progress to irreversible end-organ damage that might have been prevented by early diagnosis. Early diagnosis of SSc with initiation of appropriate treatment is essential, with great impact on morbidity and mortality. This review examines presenting features, ensuing complications and treatment providing a focus on SSc as a treatable disease. Primary care providers play a pivotal role in recognizing initial symptoms associated with SSc and securing early diagnosis through early referral to specialists. PMID:24366221

Predictors of successful early infant diagnosis of HIV in a rural district hospital in Zambézia, Mozambique

PubMed Central

Cook, Rebecca E.; Ciampa, Philip J.; Sidat, Mohsin; Blevins, Meridith; Burlison, Janeen; Davidson, Mario A.; Arroz, Jorge A.; Vergara, Alfredo E.; Vermund, Sten H.; Moon, Troy D.

2011-01-01

Background A key challenge inhibiting the timely initiation of pediatric antiretroviral treatment is the loss to follow-up of mothers and their infants between the time of mothers' HIV diagnoses in pregnancy and return after delivery for early infant diagnosis (EID) of HIV. We sought to identify barriers to follow-up of HIV-exposed infants in rural Zambézia Province, Mozambique. Methods We determined follow-up rates for early infant diagnosis and age at first test in a retrospective cohort of 443 HIV-infected mothers and their infants. Multivariable logistic regression models were used to identify factors associated with successful follow-up. Results Of the 443 mother-infant pairs, 217 (49%) mothers enrolled in the adult HIV care clinic, and only 110 (25%) infants were brought for early infant diagnosis. The predictors of follow-up for EID were larger household size (OR=1.30; 95% CI, 1.09-1.53), independent maternal source of income (OR=10.8; 95% CI, 3.42-34.0), greater distance from the hospital (OR=2.14; 95% CI, 1.01-4.51) and maternal receipt of ART (OR=3.15; 95% CI, 1.02-9.73). The median age at first test among 105 infants was 5 months (interquartile range 2 to 7); 16% of the tested infants were infected. Conclusions Three of four HIV-infected women in rural Mozambique did not bring their children for early infant HIV diagnosis. Maternal receipt of ART has favorable implications for maternal health that will increase the likelihood of early infant diagnosis. We are working with local health authorities to improve the linkage of HIV-infected women to HIV care to maximize early infant diagnosis and care. PMID:21266912

Bilateral symmetry aspects in computer-aided Alzheimer's disease diagnosis by single-photon emission-computed tomography imaging.

PubMed

Illán, Ignacio Alvarez; Górriz, Juan Manuel; Ramírez, Javier; Lang, Elmar W; Salas-Gonzalez, Diego; Puntonet, Carlos G

2012-11-01

This paper explores the importance of the latent symmetry of the brain in computer-aided systems for diagnosing Alzheimer's disease (AD). Symmetry and asymmetry are studied from two points of view: (i) the development of an effective classifier within the scope of machine learning techniques, and (ii) the assessment of its relevance to the AD diagnosis in the early stages of the disease. The proposed methodology is based on eigenimage decomposition of single-photon emission-computed tomography images, using an eigenspace extension to accommodate odd and even eigenvectors separately. This feature extraction technique allows for support-vector-machine classification and image analysis. Identification of AD patterns is improved when the latent symmetry of the brain is considered, with an estimated 92.78% accuracy (92.86% sensitivity, 92.68% specificity) using a linear kernel and a leave-one-out cross validation strategy. Also, asymmetries may be used to define a test for AD that is very specific (90.24% specificity) but not especially sensitive. Two main conclusions are derived from the analysis of the eigenimage spectrum. Firstly, the recognition of AD patterns is improved when considering only the symmetric part of the spectrum. Secondly, asymmetries in the hypo-metabolic patterns, when present, are more pronounced in subjects with AD. Copyright © 2012 Elsevier B.V. All rights reserved.

Substance abuse treatment in persons with HIV/AIDS: challenges in managing triple diagnosis.

PubMed

Durvasula, Ramani; Miller, Theodore R

2014-01-01

Clinical management of HIV must account for the "triple diagnosis" of HIV, psychiatric diagnosis, and substance use disorders and requires integrated treatment services that focus beyond just mitigation of substance use and psychiatric and medical symptoms but also address other health behaviors. Because clinical management of HIV/AIDS has shifted significantly with the advent of highly active antiretroviral therapies (HAART) in the mid 1990s, a literature review focusing on literature published since 2000, and using relevant key words was conducted using a wide range of literature search databases. This literature review was complemented by studies to expand on specific treatment modalities for which there was a dearth of literature addressing HIV infected cohorts and to provide discussion of issues around substance abuse treatment as an HIV prevention tool. Existing models of substance abuse treatment including cognitive behavioral therapy and motivational interviewing have proven to be useful for enhancing adherence and reducing substance use in outpatient populations, while methadone maintenance and directly observed treatment have been useful with specific subgroups of users. Contextualization of services heightens the likelihood of successful outcomes and relapse prevention.

The Potential of Gait Analysis to Contribute to Differential Diagnosis of Early Stage Dementia: Current Research and Future Directions

ERIC Educational Resources Information Center

Morgan, Debra; Funk, Melanie; Crossley, Margaret; Basran, Jenny; Kirk, Andrew; Bello-Haas, Vanina Dal

2007-01-01

Early differential diagnosis of dementia is becoming increasingly important as new pharmacologic therapies are developed, as these treatments are not equally effective for all types of dementia. Early detection and differential diagnosis also facilitates informed family decision making and timely access to appropriate services. Information about…

Successful diagnosis and treatment of early splenic ectopic pregnancy: A case report.

PubMed

Wu, Lan; Jiang, Xiaoqin; Ni, Juan

2018-04-01

Splenic ectopic pregnancy (SEP), a special abdominal pregnancy, is extremely rare but carries a high risk of potentially uncontrollable, life-threatening intraperitoneal bleeding at early gestation, which is equivalent to the spontaneous rupture of the spleen. Therefore, early diagnosis of SEP is crucial and may avoid life-threatening situation. A 29-year-old G3P2 woman presented with 50 days of amenorrhea and positive serum β-human gonadotropin (β-HCG) was enrolled into the hospital due to the absence of gestational sac located in the uterine cavity. A pan-abdominal ultrasound scan revealed a 2.6 cm ×1.6 cm hyperechoic mass inferior to the spleen with color Doppler signal surrounding and 0.9 cm anechoic inside. The gynecologist found the gestational sac was located in the dorsal pole of the spleen through the exploratory laparoscopy. Total splenectomy was performed uneventfully to avoid the hemorrhage shock. The patient discharged with no complications and normal 1-month follow-up. It highlights that fully understanding of the knowledge about abdominal pregnancy, especially splenic pregnancy, and early imaging study with ultrasonography could reduce or avoid the misdiagnosis and miss-diagnosis of SEP.

Computer-aided diagnosis based on enhancement of degraded fundus photographs.

PubMed

Jin, Kai; Zhou, Mei; Wang, Shaoze; Lou, Lixia; Xu, Yufeng; Ye, Juan; Qian, Dahong

2018-05-01

Retinal imaging is an important and effective tool for detecting retinal diseases. However, degraded images caused by the aberrations of the eye can disguise lesions, so that a diseased eye can be mistakenly diagnosed as normal. In this work, we propose a new image enhancement method to improve the quality of degraded images. A new method is used to enhance degraded-quality fundus images. In this method, the image is converted from the input RGB colour space to LAB colour space and then each normalized component is enhanced using contrast-limited adaptive histogram equalization. Human visual system (HVS)-based fundus image quality assessment, combined with diagnosis by experts, is used to evaluate the enhancement. The study included 191 degraded-quality fundus photographs of 143 subjects with optic media opacity. Objective quality assessment of image enhancement (range: 0-1) indicated that our method improved colour retinal image quality from an average of 0.0773 (variance 0.0801) to an average of 0.3973 (variance 0.0756). Following enhancement, area under curves (AUC) were 0.996 for the glaucoma classifier, 0.989 for the diabetic retinopathy (DR) classifier, 0.975 for the age-related macular degeneration (AMD) classifier and 0.979 for the other retinal diseases classifier. The relatively simple method for enhancing degraded-quality fundus images achieves superior image enhancement, as demonstrated in a qualitative HVS-based image quality assessment. This retinal image enhancement may, therefore, be employed to assist ophthalmologists in more efficient screening of retinal diseases and the development of computer-aided diagnosis. © 2017 Acta Ophthalmologica Scandinavica Foundation. Published by John Wiley & Sons Ltd.

Development of a computer aided diagnosis model for prostate cancer classification on multi-parametric MRI

NASA Astrophysics Data System (ADS)

Alfano, R.; Soetemans, D.; Bauman, G. S.; Gibson, E.; Gaed, M.; Moussa, M.; Gomez, J. A.; Chin, J. L.; Pautler, S.; Ward, A. D.

2018-02-01

Multi-parametric MRI (mp-MRI) is becoming a standard in contemporary prostate cancer screening and diagnosis, and has shown to aid physicians in cancer detection. It offers many advantages over traditional systematic biopsy, which has shown to have very high clinical false-negative rates of up to 23% at all stages of the disease. However beneficial, mp-MRI is relatively complex to interpret and suffers from inter-observer variability in lesion localization and grading. Computer-aided diagnosis (CAD) systems have been developed as a solution as they have the power to perform deterministic quantitative image analysis. We measured the accuracy of such a system validated using accurately co-registered whole-mount digitized histology. We trained a logistic linear classifier (LOGLC), support vector machine (SVC), k-nearest neighbour (KNN) and random forest classifier (RFC) in a four part ROI based experiment against: 1) cancer vs. non-cancer, 2) high-grade (Gleason score ≥4+3) vs. low-grade cancer (Gleason score <4+3), 3) high-grade vs. other tissue components and 4) high-grade vs. benign tissue by selecting the classifier with the highest AUC using 1-10 features from forward feature selection. The CAD model was able to classify malignant vs. benign tissue and detect high-grade cancer with high accuracy. Once fully validated, this work will form the basis for a tool that enhances the radiologist's ability to detect malignancies, potentially improving biopsy guidance, treatment selection, and focal therapy for prostate cancer patients, maximizing the potential for cure and increasing quality of life.

Comprehensive Analysis of Cancer-Proteogenome to Identify Biomarkers for the Early Diagnosis and Prognosis of Cancer.

PubMed

Shukla, Hem D

2017-10-25

During the past century, our understanding of cancer diagnosis and treatment has been based on a monogenic approach, and as a consequence our knowledge of the clinical genetic underpinnings of cancer is incomplete. Since the completion of the human genome in 2003, it has steered us into therapeutic target discovery, enabling us to mine the genome using cutting edge proteogenomics tools. A number of novel and promising cancer targets have emerged from the genome project for diagnostics, therapeutics, and prognostic markers, which are being used to monitor response to cancer treatment. The heterogeneous nature of cancer has hindered progress in understanding the underlying mechanisms that lead to abnormal cellular growth. Since, the start of The Cancer Genome Atlas (TCGA), and the International Genome consortium projects, there has been tremendous progress in genome sequencing and immense numbers of cancer genomes have been completed, and this approach has transformed our understanding of the diagnosis and treatment of different types of cancers. By employing Genomics and proteomics technologies, an immense amount of genomic data is being generated on clinical tumors, which has transformed the cancer landscape and has the potential to transform cancer diagnosis and prognosis. A complete molecular view of the cancer landscape is necessary for understanding the underlying mechanisms of cancer initiation to improve diagnosis and prognosis, which ultimately will lead to personalized treatment. Interestingly, cancer proteome analysis has also allowed us to identify biomarkers to monitor drug and radiation resistance in patients undergoing cancer treatment. Further, TCGA-funded studies have allowed for the genomic and transcriptomic characterization of targeted cancers, this analysis aiding the development of targeted therapies for highly lethal malignancy. High-throughput technologies, such as complete proteome, epigenome, protein-protein interaction, and pharmacogenomics

Fault diagnosis

NASA Technical Reports Server (NTRS)

Abbott, Kathy

1990-01-01

The objective of the research in this area of fault management is to develop and implement a decision aiding concept for diagnosing faults, especially faults which are difficult for pilots to identify, and to develop methods for presenting the diagnosis information to the flight crew in a timely and comprehensible manner. The requirements for the diagnosis concept were identified by interviewing pilots, analyzing actual incident and accident cases, and examining psychology literature on how humans perform diagnosis. The diagnosis decision aiding concept developed based on those requirements takes abnormal sensor readings as input, as identified by a fault monitor. Based on these abnormal sensor readings, the diagnosis concept identifies the cause or source of the fault and all components affected by the fault. This concept was implemented for diagnosis of aircraft propulsion and hydraulic subsystems in a computer program called Draphys (Diagnostic Reasoning About Physical Systems). Draphys is unique in two important ways. First, it uses models of both functional and physical relationships in the subsystems. Using both models enables the diagnostic reasoning to identify the fault propagation as the faulted system continues to operate, and to diagnose physical damage. Draphys also reasons about behavior of the faulted system over time, to eliminate possibilities as more information becomes available, and to update the system status as more components are affected by the fault. The crew interface research is examining display issues associated with presenting diagnosis information to the flight crew. One study examined issues for presenting system status information. One lesson learned from that study was that pilots found fault situations to be more complex if they involved multiple subsystems. Another was pilots could identify the faulted systems more quickly if the system status was presented in pictorial or text format. Another study is currently under way to

Substance Abuse Treatment in Persons with HIV/AIDS: Challenges in Managing Triple Diagnosis

PubMed Central

Durvasula, Ramani; Miller, Theodore R.

2014-01-01

This paper provides a review of the current literature addressing substance abuse treatment in persons living with HIV/AIDS. Clinical management of HIV must account for the “triple diagnosis” of HIV, psychiatric diagnosis, and substance use disorders and requires integrated treatment services that focus beyond just mitigation of substance use and psychiatric and medical symptoms but also address other health behaviors. Because clinical management of HIV/AIDS has shifted significantly with the advent of highly active antiretroviral therapies (HAART) in the mid 1990's, a literature review focusing on literature published since 2000, and using relevant key words was conducted using a wide range of literature search databases. This literature review was complemented by studies to expand on specific treatment modalities for which there was a dearth of literature addressing HIV infected cohorts and to provide discussion of issues around substance abuse treatment as an HIV prevention tool. Existing models of substance abuse treatment including cognitive behavioral therapy and motivational interviewing have proven to be useful for enhancing adherence and reducing substance use in outpatient populations, while methadone maintenance and directly observed treatment have been useful with specific subgroups of users. Contextualization of services heightens the likelihood of successful outcomes and relapse prevention. PMID:24274175

[Early diagnosis and treatment of compartment syndrome caused by landslides:a report of 20 cases].

PubMed

Xie, Hong-Bo; Peng, Zi-Lai; Liu, Xu-Bang; Chen, Lian

2012-01-01

To summarize early diagnosis and treatment methods of 20 patients with compartment syndrome caused by landslides during coal mine accidents in order to improve the level of diagnosis and treatment of compartment syndrome and reduce disability. From September 2006 to April 2010,20 patients with compartment syndrome were treated with the methods of early decompression, systemic support. All the patients were male with an average age of 42 years (ranged, 23 to 54). All the patients with high tension limb swelling, pain, referred pain passive positive; 5 extremities feeling diminish or disappear and the distal blood vessel beat were normal or weakened or disappeared; myoglobinuria, hyperkalemia, serum urea nitrogen and creatinine increased in 5 cases and oliguria in occurred 1 case. The function of affected limbs was observed according to disability ratings. Three cases complicated with infection of affected limb and 6 cases occurred with renal function insufficiency. Total recovery was in 16 cases, basically recovery in 3, amputation in 1 case. All patients were followed up for 6-15 months with an average of 12 months. The ability to work according to national standard identification--Employee work-related injuries and occupational disability rating classification (GB/T16180-2006) to assess, grade 5 was in 1 case, grade 8 in 2 cases, grade 10 in 1 case, no grade in 16 cases. Arteriopalmus of dorsalis pedis weaken and vanished can not be regard as an evidence in early diagnosis of compartment syndrome. Early diagnosis and decompression, systemic support and treatment is the key in reducing disability.

[The early diagnosis of juvenile germinoma originating from the basal ganglia and thalamus].

PubMed

Wang, Xian-Ling; Li, Cun-Jiang

2011-04-01

To explore the early diagnosis of germinoma originating from the basal ganglia (BG) and thalamus during juveniles. Retrospective analysis was done with the clinical cases of germinomas in BG and thalamus from 2000 to 2009. The symptoms, signs, neuroimaging, cerebrospinal fluid (CSF) findings were analyzed and related literature were reviewed. Eight patents were collected. The main symptoms were hemiplegia, associated with aphasia and/or impaired cognition. Brain CT showed high density and calcification. Abnormal T1 and T2 signal were found in brain MRI frequently associated with ipsilateral hemisphere atrophy. MRS showed increased choline and decreased N-acetylaspartate level. Elevated CSF human chorionic gonadotrophin level were found in two of them. Germinoma in BG and thalamus predominates in a boy. The neuroimaging features are very informative for early diagnosis.

The AIMAR recommendations for early diagnosis of chronic obstructive respiratory disease based on the WHO/GARD model*

PubMed Central

2014-01-01

the Italian context; the document of the Agency for Regional Healthcare Services (AGE.NA.S) is a more suited compendium for consultation, and the recent joint statement on integrated COPD management of the three major Italian scientific Associations in the respiratory area together with the contribution of a Society of General Medicine deals prevalently with some critical issues (appropriateness of diagnosis, pharmacological treatment, rehabilitation, continuing care); also the document “Care Continuity: Chronic Obstructive Pulmonary Disease (COPD)” of the Global Alliance against chronic Respiratory Diseases (GARD)-Italy does not treat in depth the issue of early diagnosis. The present document – produced by the AIMAR (Interdisciplinary Association for Research in Lung Disease) Task Force for early diagnosis of chronic respiratory disease based on the WHO/GARD model and on available evidence and expertise –after a general examination of the main epidemiologic aspects, proposes to integrate the above-mentioned existing documents. In particular: a) it formally indicates on the basis of the available evidence the modalities and the instruments necessary for carrying out secondary prevention at the primary care level (a pro-active,‘case-finding’approach; assessment of the individual’s level of risk of COPD; use of short questionnaires for an initial screening based on symptoms; use of simple spirometry for the second level of screening); b) it identifies possible ways of including these activities within primary care practice; c) it places early diagnosis within the “systemic”, consequential management of chronic respiratory diseases, which will be briefly described with the aid of schemes taken from the Italian and international reference documents. PMID:25473523

The AIMAR recommendations for early diagnosis of chronic obstructive respiratory disease based on the WHO/GARD model*.

PubMed

Nardini, Stefano; Annesi-Maesano, Isabella; Del Donno, Mario; Delucchi, Maurizio; Bettoncelli, Germano; Lamberti, Vincenzo; Patera, Carlo; Polverino, Mario; Russo, Antonio; Santoriello, Carlo; Soverina, Patrizio

2014-01-01

to the Italian context; the document of the Agency for Regional Healthcare Services (AGE.NA.S) is a more suited compendium for consultation, and the recent joint statement on integrated COPD management of the three major Italian scientific Associations in the respiratory area together with the contribution of a Society of General Medicine deals prevalently with some critical issues (appropriateness of diagnosis, pharmacological treatment, rehabilitation, continuing care); also the document "Care Continuity: Chronic Obstructive Pulmonary Disease (COPD)" of the Global Alliance against chronic Respiratory Diseases (GARD)-Italy does not treat in depth the issue of early diagnosis. The present document - produced by the AIMAR (Interdisciplinary Association for Research in Lung Disease) Task Force for early diagnosis of chronic respiratory disease based on the WHO/GARD model and on available evidence and expertise -after a general examination of the main epidemiologic aspects, proposes to integrate the above-mentioned existing documents. In particular: a) it formally indicates on the basis of the available evidence the modalities and the instruments necessary for carrying out secondary prevention at the primary care level (a pro-active,'case-finding'approach; assessment of the individual's level of risk of COPD; use of short questionnaires for an initial screening based on symptoms; use of simple spirometry for the second level of screening); b) it identifies possible ways of including these activities within primary care practice; c) it places early diagnosis within the "systemic", consequential management of chronic respiratory diseases, which will be briefly described with the aid of schemes taken from the Italian and international reference documents.

On-line early fault detection and diagnosis of municipal solid waste incinerators

DOE Office of Scientific and Technical Information (OSTI.GOV)

Zhao Jinsong; Huang Jianchao; Sun Wei

A fault detection and diagnosis framework is proposed in this paper for early fault detection and diagnosis (FDD) of municipal solid waste incinerators (MSWIs) in order to improve the safety and continuity of production. In this framework, principal component analysis (PCA), one of the multivariate statistical technologies, is used for detecting abnormal events, while rule-based reasoning performs the fault diagnosis and consequence prediction, and also generates recommendations for fault mitigation once an abnormal event is detected. A software package, SWIFT, is developed based on the proposed framework, and has been applied in an actual industrial MSWI. The application shows thatmore » automated real-time abnormal situation management (ASM) of the MSWI can be achieved by using SWIFT, resulting in an industrially acceptable low rate of wrong diagnosis, which has resulted in improved process continuity and environmental performance of the MSWI.« less

Spectrum of complicated migraine in children: A common profile in aid to clinical diagnosis

PubMed Central

Gupta, Surya N; Gupta, Vikash S; Fields, Dawn M

2015-01-01

Complicated migraine encompasses several individual clinical syndromes of migraine. Such a syndrome in children frequently presents with various neurological symptoms in the Emergency Department. An acute presentation in the absence of headache presents a diagnostic challenge. A delay in diagnosis and treatment may have medicolegal implication. To date, there are no reports of a common clinical profile proposed in making a clinical diagnosis for the complicated migraine. In this clinical review, we propose and describe: (1) A common clinical profile in aid to clinical diagnosis for spectrum of complicated migraine; (2) How it can be used in differentiating complicated migraine from migraine without aura, migraine with aura, and seizure; (3) We discuss the status of complicated migraine in the International Headache Society classification 2013; and (4) In addition, a common treatment strategy for the spectrum of migraine has been described. To diagnose complicated migraine clinically, it is imperative to adhere with the proposed profile. This will optimize the use of investigation and will also avoid a legal implication of delay in their management. The proposed common clinical profile is incongruent with the International Headache Society 2013. Future classification should minimize the dissociation from clinically encountered syndromes and coin a single word to address collectively this subtype of migraine with an acute presentation of a common clinical profile. PMID:25664241

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…

Turnaround Time for Early Infant HIV Diagnosis in Rural Zambia: A Chart Review

PubMed Central

Sutcliffe, Catherine G.; van Dijk, Janneke H.; Hamangaba, Francis; Mayani, Felix; Moss, William J.

2014-01-01

Background Early infant HIV diagnosis is challenging in sub-Saharan Africa, particularly in rural areas where laboratory capacity is limited. Specimens must be transported to central laboratories for testing, leading to delays in diagnosis and initiation of antiretroviral therapy. This study was undertaken in rural Zambia to measure the turnaround time for confirmation of HIV infection and identify delays in diagnosis. Methods Chart reviews were conducted from 2010–2012 for children undergoing early infant HIV diagnosis at Macha Hospital in Zambia. Relevant dates, receipt of drugs by mother and child for the prevention of mother-to-child transmission (PMTCT), and test results were abstracted. Results 403 infants provided 476 samples for early infant diagnosis. The median age at the “6-week” and “6-month” assessments was 8.1 weeks and 7.0 months, respectively. The majority of mothers (80%) and infants (67%) received PMTCT. The median time between sample collection and arrival at the central laboratory in Lusaka was 17 days (IQR: 10, 28); arrival at the central laboratory to testing was 6 days (IQR: 5, 11); testing to return of results to the clinic was 29 days (IQR: 17, 36); arrival of results at the clinic to return of results to the caregiver was 45 days (IQR: 24, 79). The total median time from sample collection to return of results to the caregiver was 92 days (IQR: 84, 145). The proportion of HIV PCR positive samples was 12%. The total median turnaround time was shorter for HIV PCR positive as compared to negative or invalid samples (85 vs. 92 days; p = 0.08). Conclusions Delays in processing and communicating test results were identified, particularly in returning results from the central laboratory to the clinic and from the clinic to the caregiver. A more efficient process is needed so that caregivers can be provided test results more rapidly, potentially resulting in earlier treatment initiation and better outcomes for HIV-infected infants

Is AIDS a Biasing Factor in Teacher Judgment?

ERIC Educational Resources Information Center

Walker, David W.; Hulecki, Mary B.

1989-01-01

Regular-education, third-grade teachers (n=91) in Indiana reviewed one of two psychological reports, identical except that one reported a diagnosis of Acquired Immune Deficiency Syndrome (AIDS) and one reported a diagnosis of rheumatic fever. AIDS was not found to be a biasing factor in teachers' judgments regarding special education placement.…

[The value of PHI/PCA3 in the early diagnosis of prostate cancer].

PubMed

Tan, S J; Xu, L W; Xu, Z; Wu, J P; Liang, K; Jia, R P

2016-01-12

To investigate the value of prostate health index (PHI) and prostate cancer gene 3 (PCA3) in the early diagnosis of prostate cancer (PCa). A total of 190 patients with abnormal serum prostate specific antigen (PSA) or abnormal digital rectal examination were enrolled. They were all underwent initial biopsy and 11 of them were also underwent repeated biopsy. In addition, 25 healthy cases (with normal digital rectal examination and PSA<4 ng/ml) were the control group.The PHI and PCA3 were detected by using immunofluorescence and Loop-Mediated Isothermal Amplification (LAMP). The sensitivity and specificity of diagnosis were determined by ROC curve.In addition, the relationship between PHI/PSA and the Gleason score and clinical stage were analyzed. A total of 89 patients were confirmed PCa by Pathological diagnosis. The other 101 patients were diagnosed as benign prostatic hyperplasia (BPH). The sensitivity and specificity of PCA3 test were 85.4% was 92.1%. Area under curve (AUC) of PHI is higher than AUC of PSA (0.727>0.699). The PHI in peripheral blood was positively correlated with Gleason score and clinical stage. The detection of PCA3 and PHI shows excellent detecting effectiveness. Compared with single PSA, the combined detection of PHI and PCA3 improved the diagnostic specificity. It can provide a new method for the early diagnosis in prostate cancer and avoid unnecessary biopsies.

Early melanoma diagnosis with mobile imaging.

PubMed

Do, Thanh-Toan; Zhou, Yiren; Zheng, Haitian; Cheung, Ngai-Man; Koh, Dawn

2014-01-01

We research a mobile imaging system for early diagnosis of melanoma. Different from previous work, we focus on smartphone-captured images, and propose a detection system that runs entirely on the smartphone. Smartphone-captured images taken under loosely-controlled conditions introduce new challenges for melanoma detection, while processing performed on the smartphone is subject to computation and memory constraints. To address these challenges, we propose to localize the skin lesion by combining fast skin detection and fusion of two fast segmentation results. We propose new features to capture color variation and border irregularity which are useful for smartphone-captured images. We also propose a new feature selection criterion to select a small set of good features used in the final lightweight system. Our evaluation confirms the effectiveness of proposed algorithms and features. In addition, we present our system prototype which computes selected visual features from a user-captured skin lesion image, and analyzes them to estimate the likelihood of malignance, all on an off-the-shelf smartphone.

Videothoracoscopy in the diagnosis of intrathoracic pathology: early experience.

PubMed Central

Waller, D. A.; Hasan, A.; Forty, J.; Morritt, G. N.

1994-01-01

We report our experience using the new technique of videothoracoscopy in the diagnosis of intrathoracic pathology. In the last 12 months, 40 patients (24 male; 16 female) have undergone investigation by this method. Lung biopsy has been performed in 17 patients, pleural biopsy in 20 patients and mediastinal biopsy in three patients. The majority had been referred after other investigations had been inconclusive. All biopsies were diagnostic except one mediastinal biopsy. This early experience suggests that videothoracoscopic biopsy is a well-tolerated technique with high diagnostic yield. PMID:8154806

Early diagnosis of osteoporosis using radiogrammetry and texture analysis from hand and wrist radiographs in Indian population.

PubMed

Areeckal, A S; Jayasheelan, N; Kamath, J; Zawadynski, S; Kocher, M; David S, S

2018-03-01

We propose an automated low cost tool for early diagnosis of onset of osteoporosis using cortical radiogrammetry and cancellous texture analysis from hand and wrist radiographs. The trained classifier model gives a good performance accuracy in classifying between healthy and low bone mass subjects. We propose a low cost automated diagnostic tool for early diagnosis of reduction in bone mass using cortical radiogrammetry and cancellous texture analysis of hand and wrist radiographs. Reduction in bone mass could lead to osteoporosis, a disease observed to be increasingly occurring at a younger age in recent times. Dual X-ray absorptiometry (DXA), currently used in clinical practice, is expensive and available only in urban areas in India. Therefore, there is a need to develop a low cost diagnostic tool in order to facilitate large-scale screening of people for early diagnosis of osteoporosis at primary health centers. Cortical radiogrammetry from third metacarpal bone shaft and cancellous texture analysis from distal radius are used to detect low bone mass. Cortical bone indices and cancellous features using Gray Level Run Length Matrices and Laws' masks are extracted. A neural network classifier is trained using these features to classify healthy subjects and subjects having low bone mass. In our pilot study, the proposed segmentation method shows 89.9 and 93.5% accuracy in detecting third metacarpal bone shaft and distal radius ROI, respectively. The trained classifier shows training accuracy of 94.3% and test accuracy of 88.5%. An automated diagnostic technique for early diagnosis of onset of osteoporosis is developed using cortical radiogrammetric measurements and cancellous texture analysis of hand and wrist radiographs. The work shows that a combination of cortical and cancellous features improves the diagnostic ability and is a promising low cost tool for early diagnosis of increased risk of osteoporosis.

Brazilian Spotted Fever: the importance of dermatological signs for early diagnosis*

PubMed Central

Couto, Daíne Vargas; Medeiros, Marcelo Zanolli; Hans, Gunter; de Lima, Alexandre Moretti; Barbosa, Aline Blanco; Vicari, Carolina Faria Santos

2015-01-01

Brazilian spotted fever is an acute febrile infectious disease caused by Rickettsia rickettsii, transmitted by tick bite. As this disease is rare and has high mortality rates in Brazil, the clinical aspects and epidemiological data may help the diagnosis. We report a case of Brazilian spotted fever in a 19-year-old patient who presented maculopapular exanthema in the palmar region and upper limbs, lymphadenopathy, fever, chills, headache, conjunctival hyperemia, nausea, vomiting, dyspnea, myalgia, developing neurological signs and abdominal pain. He was treated with doxycycline with clinical improvement. We emphasize the importance of the recognition of this disease by dermatologists as cutaneous manifestations are the key findings to establish early diagnosis and prevent complications. PMID:25830998

Early diagnosis and multidisciplinary care reduce the hospitalization time and duration of tube feeding and prevent early obesity in PWS infants.

PubMed

Bacheré, N; Diene, G; Delagnes, V; Molinas, C; Moulin, P; Tauber, M

2008-01-01

To describe and evaluate the impact of very early diagnosis and multidisciplinary care on the evolution and care of infants presenting with Prader-Willi syndrome (PWS). 19 infants diagnosed with PWS before the second month of life were followed by a multidisciplinary team. Median age at the time of analysis was 3.1 years [range 0.4-6.5]. The data were compared with data collected in 1997 from 113 questionnaires filled out by members of the French PWS Association. The patients from this latter data set were 12.0 years [range 4 months to 41 years] at the time of analysis, with a median age of 36 months at diagnosis. The duration of their hospitalization time was significantly reduced from 30.0 [range 0-670] to 21 [range 0-90] days (p = 0.043). The duration of gastric tube feeding was significantly reduced from 30.5 [range 0-427] to 15 [range 0-60] days (p = 0.017). Growth hormone treatment was started at a mean age of 1.9 +/- 0.5 years in 10 infants and L-thyroxine in 6 infants. Only 1 infant became obese at 2.5 years. Early diagnosis combined with multidisciplinary care decreases the hospitalization time, duration of gastric tube feeding and prevents early obesity in PWS infants. (c) 2007 S. Karger AG, Basel.

Ensuring financial access to hearing AIDS for infants and young children.

PubMed

Limb, Stephanie J; McManus, Margaret A; Fox, Harriette B; White, Karl R; Forsman, Irene

2010-08-01

Many young children with permanent hearing loss do not receive hearing aids and related professional services, in part because of public and private financing limitations. In 2006 the Children's Audiology Financing Workgroup was convened by the National Center for Hearing Assessment and Management to evaluate and make recommendations about public and private financing of hearing aids and related professional services for 0- to 3-year-old children. The workgroup recommended 4 possible strategies for ensuring that all infants and young children with hearing loss have access to appropriate hearing aids and professional services: (1) clarify that the definition of assistive technology, which is a required service under Part C of the Individuals With Disabilities Education Act (IDEA), includes not only analog hearing aids but also digital hearing aids with appropriate features as needed by young children with hearing loss; (2) clarify for both state Medicaid and Children's Health Insurance Programs that digital hearing aids are almost always the medically necessary type of hearing aid required for infants and young children and should be covered under the Early and Periodic Screening, Diagnosis, and Treatment (EPSDT) program; (3) encourage the passage of private health insurance legislative mandates to require coverage of appropriate digital hearing aids and related professional services for infants and young children; and (4) establish hearing-aid loaner programs in every state. The costs of providing hearing aids to all 0- to 3-year old children in the United States are estimated here.

Computer-aided diagnosis of breast cancer via Gabor wavelet bank and binary-class SVM in mammographic images

NASA Astrophysics Data System (ADS)

Torrents-Barrena, Jordina; Puig, Domenec; Melendez, Jaime; Valls, Aida

2016-03-01

Breast cancer is one of the most dangerous diseases that attack women in their 40s worldwide. Due to this fact, it is estimated that one in eight women will develop a malignant carcinoma during their life. In addition, the carelessness of performing regular screenings is an important reason for the increase of mortality. However, computer-aided diagnosis systems attempt to enhance the quality of mammograms as well as the detection of early signs related to the disease. In this paper we propose a bank of Gabor filters to calculate the mean, standard deviation, skewness and kurtosis features by four-sized evaluation windows. Therefore, an active strategy is used to select the most relevant pixels. Finally, a supervised classification stage using two-class support vector machines is utilised through an accurate estimation of kernel parameters. In order to show the development of our methodology based on mammographic image analysis, two main experiments are fulfilled: abnormal/normal breast tissue classification and the ability to detect the different breast cancer types. Moreover, the public screen-film mini-MIAS database is compared with a digitised breast cancer database to evaluate the method robustness. The area under the receiver operating characteristic curve is used to measure the performance of the method. Furthermore, both confusion matrix and accuracy are calculated to assess the results of the proposed algorithm.

Biomarkers for Early Diagnosis of Alzheimer's Disease in the Oldest Old: Yes or No?

PubMed

Paolacci, Lucia; Giannandrea, David; Mecocci, Patrizia; Parnetti, Lucilla

2017-01-01

In recent years, many efforts have been spent to identify sensitive biomarkers able to improve the accuracy of Alzheimer's disease (AD) diagnosis. Two different workgroups (NIA-AA and IWG) included cerebrospinal fluid (CSF) and neuroimaging findings in their sets of criteria in order to improve diagnostic accuracy as well as early diagnosis. The number of subjects with cognitive impairment increases with aging but the oldest old (≥85 years of age), the fastest growing age group, is still the most unknown from a biological point of view. For this reason, the aim of our narrative mini-review is to evaluate the pertinence of the new criteria for AD diagnosis in the oldest old. Moreover, since different subgroups of oldest old have been described in scientific literature (escapers, delayers, survivors), we want to outline the clinical profile of the oldest old who could really benefit from the use of biomarkers for early diagnosis. Reviewing the literature on biomarkers included in the diagnostic criteria, we did not find a high degree of evidence for their use in the oldest old, although CSF biomarkers seem to be still the most useful for excluding AD diagnosis in the "fit" subgroup of oldest old subjects, due to the high negative predictive value maintained in this age group.

"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.

Serum Hsp70 Antigen: Early Diagnosis Marker in Perinatal Asphyxia.

PubMed

Boskabadi, Hassan; Omidian, Masoud; Tavallai, Shima; Mohammadi, Shabnam; Parizadeh, Mostafa; Ghayour Mobarhan, Majid; Ferns, Gordon Aa

2015-04-01

Perinatal asphyxia is an important cause of mortality and permanent neurological and developmental deficit. Early and accurate diagnosis would help to establish the likely prognosis and may also help in determining the most appropriate treatment. Studies in experimental animal models suggest that a protein called Hsp70 may be a good and potentially useful marker of cellular stress that may be clinically useful in determining the presence of neonatal asphyxia. Regarding the importance of early and accurate diagnosis of asphyxia, we conducted this study, which is the first investigation of the comparison of the serum Hsp70 antigen level between asphyxiated and healthy infants. In this observational study, the serum concentrations of Hsp70 antigen were compared between neonates suffering from perinatal asphyxia (n = 50) and normal neonates (n = 51). The inclusion criteria for the cases were neonates who had reached term and had at least two clinical criteria of asphyxia. Exclusion criteria were babies with gestational age < 37 weeks, infants with congenital abnormalities or positive blood culture. Exclusion criteria in this group were the requirement to hospital stay during first week of the life or babies whose mothers had difficulties during pregnancy or delivery. Term neonates without major anomalies who had asphyxia during delivery were enrolled in the first six hours after delivery, and control group consisted of healthy term neonates without problems and normal delivery process in the first week of life. The cord blood was taken during labor to measure Hsp70 antigen level by using an in-house ELISA (The enzyme-linked immunosorbent assay). The median values of serum anti Hsp70 titers were significantly higher in asphyxiated neonates compared with non-asphyxiated neonates (0.36 [0.04 - 1.14] vs 0.24 [0.01 - 0.63]). At cutoff point = 0.3125 ng/mL, sensitivity was 58% and specificity 76% based on ROC curve. A significant difference between the serum concentrations

Serum Hsp70 Antigen: Early Diagnosis Marker in Perinatal Asphyxia

PubMed Central

Boskabadi, Hassan; Omidian, Masoud; Tavallai, Shima; Mohammadi, Shabnam; Parizadeh, Mostafa; Ghayour Mobarhan, Majid; Ferns, Gordon AA

2015-01-01

Background: Perinatal asphyxia is an important cause of mortality and permanent neurological and developmental deficit. Early and accurate diagnosis would help to establish the likely prognosis and may also help in determining the most appropriate treatment. Studies in experimental animal models suggest that a protein called Hsp70 may be a good and potentially useful marker of cellular stress that may be clinically useful in determining the presence of neonatal asphyxia. Objectives: Regarding the importance of early and accurate diagnosis of asphyxia, we conducted this study, which is the first investigation of the comparison of the serum Hsp70 antigen level between asphyxiated and healthy infants. Patients and Methods: In this observational study, the serum concentrations of Hsp70 antigen were compared between neonates suffering from perinatal asphyxia (n = 50) and normal neonates (n = 51). The inclusion criteria for the cases were neonates who had reached term and had at least two clinical criteria of asphyxia. Exclusion criteria were babies with gestational age < 37 weeks, infants with congenital abnormalities or positive blood culture. Exclusion criteria in this group were the requirement to hospital stay during first week of the life or babies whose mothers had difficulties during pregnancy or delivery. Term neonates without major anomalies who had asphyxia during delivery were enrolled in the first six hours after delivery, and control group consisted of healthy term neonates without problems and normal delivery process in the first week of life. The cord blood was taken during labor to measure Hsp70 antigen level by using an in-house ELISA (The enzyme-linked immunosorbent assay). Results: The median values of serum anti Hsp70 titers were significantly higher in asphyxiated neonates compared with non-asphyxiated neonates (0.36 [0.04 - 1.14] vs 0.24 [0.01 - 0.63]). At cutoff point = 0.3125 ng/mL, sensitivity was 58% and specificity 76% based on ROC curve

A Computer-Aided Diagnosis System Using Artificial Intelligence for the Diagnosis and Characterization of Thyroid Nodules on Ultrasound: Initial Clinical Assessment.

PubMed

Choi, Young Jun; Baek, Jung Hwan; Park, Hye Sun; Shim, Woo Hyun; Kim, Tae Yong; Shong, Young Kee; Lee, Jeong Hyun

2017-04-01

An initial clinical assessment is described of a new, commercially available, computer-aided diagnosis (CAD) system using artificial intelligence (AI) for thyroid ultrasound, and its performance is evaluated in the diagnosis of malignant thyroid nodules and categorization of nodule characteristics. Patients with thyroid nodules with decisive diagnosis, whether benign or malignant, were consecutively enrolled from November 2015 to February 2016. An experienced radiologist reviewed the ultrasound image characteristics of the thyroid nodules, while another radiologist assessed the same thyroid nodules using the CAD system, providing ultrasound characteristics and a diagnosis of whether nodules were benign or malignant. The diagnostic performance and agreement of US characteristics between the experienced radiologist and the CAD system were compared. In total, 102 thyroid nodules from 89 patients were included; 59 (57.8%) were benign and 43 (42.2%) were malignant. The CAD system showed a similar sensitivity as the experienced radiologist (90.7% vs. 88.4%, p > 0.99), but a lower specificity and a lower area under the receiver operating characteristic (AUROC) curve (specificity: 74.6% vs. 94.9%, p = 0.002; AUROC: 0.83 vs. 0.92, p = 0.021). Classifications of the ultrasound characteristics (composition, orientation, echogenicity, and spongiform) between radiologist and CAD system were in substantial agreement (κ = 0.659, 0.740, 0.733, and 0.658, respectively), while the margin showed a fair agreement (κ = 0.239). The sensitivity of the CAD system using AI for malignant thyroid nodules was as good as that of the experienced radiologist, while specificity and accuracy were lower than those of the experienced radiologist. The CAD system showed an acceptable agreement with the experienced radiologist for characterization of thyroid nodules.

Recent histopathological studies in leprosy, with particular reference to early diagnosis and leprous neuropathy.

PubMed

Job, C K

2007-01-01

In histopathological studies in leprosy, two important areas were identified in recently published work. They are early diagnosis and neuropathy. In histopathological examination, finding of M. leprae in tissues and/or granulomatous destruction of nerves are the two important findings to confirm the diagnosis. Immunopathological staining of M. leprae, PCR amplification of M. leprae antigen and S100 staining of Schwaann cells have considerably enhanced the sensitivity of histopathological diagnosis. If the two clinical findings such as hypopigmented patches with impaired sensation and thickened nerves accompanied by loss of sensation are the only ones that are taken into account for diagnosis, then a significant number of early patients will be missed. It is pointed out that biopsy examination of skin and nerves, when necessary, and skin-smear studies are indispensable diagnostic procedures. In the study of leprous neuropathy, there are several studies trying to decipher the entry of M. leprae into Schwann cells. The sharing of antigens between M. leprae and surface membrane of Schwann cells may be an important factor. However, there is much more to be learned in this area. In the control and prevention of neuritis, although corticosteroids administered along with multi-drug therapy was helpful, the benefit was not sustained.

Electrochemical magneto-actuated biosensor for CD4 count in AIDS diagnosis and monitoring.

PubMed

Carinelli, S; Xufré Ballesteros, C; Martí, M; Alegret, S; Pividori, M I

2015-12-15

The counting of CD4(+) T lymphocytes is a clinical parameter used for AIDS diagnosis and follow-up. As this disease is particularly prevalent in developing countries, simple and affordable CD4 cell counting methods are urgently needed in resource-limited settings. This paper describes an electrochemical magneto-actuated biosensor for CD4 count in whole blood. The CD4(+) T lymphocytes were isolated, preconcentrated and labeled from 100 μL of whole blood by immunomagnetic separation with magnetic particles modified with antiCD3 antibodies. The captured cells were labeled with a biotinylated antiCD4 antibody, followed by the reaction with the electrochemical reporter streptavidin-peroxidase conjugate. The limit of detection for the CD4 counting magneto-actuated biosensor in whole blood was as low as 44 cells μL(-1) while the logistic range was found to be from 89 to 912 cells μL(-1), which spans the whole medical interest range for CD4 counts in AIDS patients. The electrochemical detection together with the immunomagnetic separation confers high sensitivity, resulting in a rapid, inexpensive, robust, user-friendly method for CD4 counting. This approach is a promising alternative for the costly standard flow cytometry and suitable as diagnostic tool at decentralized practitioner sites in low resource settings, especially in less developed countries. Copyright © 2015 Elsevier B.V. All rights reserved.

Bi-model processing for early detection of breast tumor in CAD system

NASA Astrophysics Data System (ADS)

Mughal, Bushra; Sharif, Muhammad; Muhammad, Nazeer

2017-06-01

Early screening of skeptical masses in mammograms may reduce mortality rate among women. This rate can be further reduced upon developing the computer-aided diagnosis system with decrease in false assumptions in medical informatics. This method highlights the early tumor detection in digitized mammograms. For improving the performance of this system, a novel bi-model processing algorithm is introduced. It divides the region of interest into two parts, the first one is called pre-segmented region (breast parenchyma) and other is the post-segmented region (suspicious region). This system follows the scheme of the preprocessing technique of contrast enhancement that can be utilized to segment and extract the desired feature of the given mammogram. In the next phase, a hybrid feature block is presented to show the effective performance of computer-aided diagnosis. In order to assess the effectiveness of the proposed method, a database provided by the society of mammographic images is tested. Our experimental outcomes on this database exhibit the usefulness and robustness of the proposed method.

Breath analysis based on micropreconcentrator for early cancer diagnosis

NASA Astrophysics Data System (ADS)

Lee, Sang-Seok

2018-02-01

We are developing micropreconcentrators based on micro/nanotechnology to detect trace levels of volatile organic compound (VOC) gases contained in human and canine exhaled breath. The possibility of using exhaled VOC gases as biomarkers for various cancer diagnoses has been previously discussed. For early cancer diagnosis, detection of trace levels of VOC gas is indispensable. Using micropreconcentrators based on MEMS technology or nanotechnology is very promising for detection of VOC gas. A micropreconcentrator based breath analysis technique also has advantages from the viewpoints of cost performance and availability for various cancers diagnosis. In this paper, we introduce design, fabrication and evaluation results of our MEMS and nanotechnology based micropreconcentrators. In the MEMS based device, we propose a flower leaf type Si microstructure, and its shape and configuration are optimized quantitatively by finite element method simulation. The nanotechnology based micropreconcentrator consists of carbon nanotube (CNT) structures. As a result, we achieve ppb level VOC gas detection with our micropreconcentrators and usual gas chromatography system that can detect on the order of ppm VOC in gas samples. In performance evaluation, we also confirm that the CNT based micropreconcentrator shows 115 times better concentration ratio than that of the Si based micropreconcentrator. Moreover, we discuss a commercialization idea for new cancer diagnosis using breath analysis. Future work and preliminary clinical testing in dogs is also discussed.

Computer-aided diagnosis of breast microcalcifications based on dual-tree complex wavelet transform.

PubMed

Jian, Wushuai; Sun, Xueyan; Luo, Shuqian

2012-12-19

Digital mammography is the most reliable imaging modality for breast carcinoma diagnosis and breast micro-calcifications is regarded as one of the most important signs on imaging diagnosis. In this paper, a computer-aided diagnosis (CAD) system is presented for breast micro-calcifications based on dual-tree complex wavelet transform (DT-CWT) to facilitate radiologists like double reading. Firstly, 25 abnormal ROIs were extracted according to the center and diameter of the lesions manually and 25 normal ROIs were selected randomly. Then micro-calcifications were segmented by combining space and frequency domain techniques. We extracted three texture features based on wavelet (Haar, DB4, DT-CWT) transform. Totally 14 descriptors were introduced to define the characteristics of the suspicious micro-calcifications. Principal Component Analysis (PCA) was used to transform these descriptors to a compact and efficient vector expression. Support Vector Machine (SVM) classifier was used to classify potential micro-calcifications. Finally, we used the receiver operating characteristic (ROC) curve and free-response operating characteristic (FROC) curve to evaluate the performance of the CAD system. The results of SVM classifications based on different wavelets shows DT-CWT has a better performance. Compared with other results, DT-CWT method achieved an accuracy of 96% and 100% for the classification of normal and abnormal ROIs, and the classification of benign and malignant micro-calcifications respectively. In FROC analysis, our CAD system for clinical dataset detection achieved a sensitivity of 83.5% at a false positive per image of 1.85. Compared with general wavelets, DT-CWT could describe the features more effectively, and our CAD system had a competitive performance.

Computer-aided diagnosis of breast microcalcifications based on dual-tree complex wavelet transform

PubMed Central

2012-01-01

Background Digital mammography is the most reliable imaging modality for breast carcinoma diagnosis and breast micro-calcifications is regarded as one of the most important signs on imaging diagnosis. In this paper, a computer-aided diagnosis (CAD) system is presented for breast micro-calcifications based on dual-tree complex wavelet transform (DT-CWT) to facilitate radiologists like double reading. Methods Firstly, 25 abnormal ROIs were extracted according to the center and diameter of the lesions manually and 25 normal ROIs were selected randomly. Then micro-calcifications were segmented by combining space and frequency domain techniques. We extracted three texture features based on wavelet (Haar, DB4, DT-CWT) transform. Totally 14 descriptors were introduced to define the characteristics of the suspicious micro-calcifications. Principal Component Analysis (PCA) was used to transform these descriptors to a compact and efficient vector expression. Support Vector Machine (SVM) classifier was used to classify potential micro-calcifications. Finally, we used the receiver operating characteristic (ROC) curve and free-response operating characteristic (FROC) curve to evaluate the performance of the CAD system. Results The results of SVM classifications based on different wavelets shows DT-CWT has a better performance. Compared with other results, DT-CWT method achieved an accuracy of 96% and 100% for the classification of normal and abnormal ROIs, and the classification of benign and malignant micro-calcifications respectively. In FROC analysis, our CAD system for clinical dataset detection achieved a sensitivity of 83.5% at a false positive per image of 1.85. Conclusions Compared with general wavelets, DT-CWT could describe the features more effectively, and our CAD system had a competitive performance. PMID:23253202

Cognitive assessments for the early diagnosis of dementia after stroke

PubMed Central

Al-Qazzaz, Noor Kamal; Ali, Sawal Hamid; Ahmad, Siti Anom; Islam, Shabiul

2014-01-01

The early detection of poststroke dementia (PSD) is important for medical practitioners to customize patient treatment programs based on cognitive consequences and disease severity progression. The aim is to diagnose and detect brain degenerative disorders as early as possible to help stroke survivors obtain early treatment benefits before significant mental impairment occurs. Neuropsychological assessments are widely used to assess cognitive decline following a stroke diagnosis. This study reviews the function of the available neuropsychological assessments in the early detection of PSD, particularly vascular dementia (VaD). The review starts from cognitive impairment and dementia prevalence, followed by PSD types and the cognitive spectrum. Finally, the most usable neuropsychological assessments to detect VaD were identified. This study was performed through a PubMed and ScienceDirect database search spanning the last 10 years with the following keywords: “post-stroke”; “dementia”; “neuro-psychological”; and “assessments”. This study focuses on assessing VaD patients on the basis of their stroke risk factors and cognitive function within the first 3 months after stroke onset. The search strategy yielded 535 articles. After application of inclusion and exclusion criteria, only five articles were considered. A manual search was performed and yielded 14 articles. Twelve articles were included in the study design and seven articles were associated with early dementia detection. This review may provide a means to identify the role of neuropsychological assessments as early PSD detection tests. PMID:25246795

Endoscopic diagnosis and treatment of early esophageal squamous neoplasia

PubMed Central

Shimamura, Yuto; Ikeya, Takashi; Marcon, Norman; Mosko, Jeffrey D

2017-01-01

Esophageal cancer is one of the leading causes of cancer-related death and is associated with high morbidity and mortality. It carries a poor prognosis as more than half of patients present with advanced and unresectable disease. One contributing factor is the increased risk of lymph node metastases at early stages of disease. As such, it is essential to detect squamous cell neoplasia (SCN) at an early stage. In order to risk stratify lesions, endoscopists must be able to perform image enhanced endoscopy including magnification and Lugol’s chromoendoscopy. The assessment of both the horizontal extent and depth of any lesion is also of utmost importance prior to treatment. Endoscopic mucosal resection and submucosal dissection remain the standard of care with literature supportive their respective use. Radiofrequency ablation and other endoscopic treatments are currently available although should not be considered first line at this time. Our objective is to review the current options for the endoscopic diagnosis and treatment of esophageal SCN. PMID:28979708

Computer-aided diagnosis with potential application to rapid detection of disease outbreaks.

PubMed

Burr, Tom; Koster, Frederick; Picard, Rick; Forslund, Dave; Wokoun, Doug; Joyce, Ed; Brillman, Judith; Froman, Phil; Lee, Jack

2007-04-15

Our objectives are to quickly interpret symptoms of emergency patients to identify likely syndromes and to improve population-wide disease outbreak detection. We constructed a database of 248 syndromes, each syndrome having an estimated probability of producing any of 85 symptoms, with some two-way, three-way, and five-way probabilities reflecting correlations among symptoms. Using these multi-way probabilities in conjunction with an iterative proportional fitting algorithm allows estimation of full conditional probabilities. Combining these conditional probabilities with misdiagnosis error rates and incidence rates via Bayes theorem, the probability of each syndrome is estimated. We tested a prototype of computer-aided differential diagnosis (CADDY) on simulated data and on more than 100 real cases, including West Nile Virus, Q fever, SARS, anthrax, plague, tularaemia and toxic shock cases. We conclude that: (1) it is important to determine whether the unrecorded positive status of a symptom means that the status is negative or that the status is unknown; (2) inclusion of misdiagnosis error rates produces more realistic results; (3) the naive Bayes classifier, which assumes all symptoms behave independently, is slightly outperformed by CADDY, which includes available multi-symptom information on correlations; as more information regarding symptom correlations becomes available, the advantage of CADDY over the naive Bayes classifier should increase; (4) overlooking low-probability, high-consequence events is less likely if the standard output summary is augmented with a list of rare syndromes that are consistent with observed symptoms, and (5) accumulating patient-level probabilities across a larger population can aid in biosurveillance for disease outbreaks. c 2007 John Wiley & Sons, Ltd.

Role of Gist and PHOG Features in Computer-Aided Diagnosis of Tuberculosis without Segmentation

PubMed Central

Chauhan, Arun; Chauhan, Devesh; Rout, Chittaranjan

2014-01-01

Purpose Effective diagnosis of tuberculosis (TB) relies on accurate interpretation of radiological patterns found in a chest radiograph (CXR). Lack of skilled radiologists and other resources, especially in developing countries, hinders its efficient diagnosis. Computer-aided diagnosis (CAD) methods provide second opinion to the radiologists for their findings and thereby assist in better diagnosis of cancer and other diseases including TB. However, existing CAD methods for TB are based on the extraction of textural features from manually or semi-automatically segmented CXRs. These methods are prone to errors and cannot be implemented in X-ray machines for automated classification. Methods Gabor, Gist, histogram of oriented gradients (HOG), and pyramid histogram of oriented gradients (PHOG) features extracted from the whole image can be implemented into existing X-ray machines to discriminate between TB and non-TB CXRs in an automated manner. Localized features were extracted for the above methods using various parameters, such as frequency range, blocks and region of interest. The performance of these features was evaluated against textural features. Two digital CXR image datasets (8-bit DA and 14-bit DB) were used for evaluating the performance of these features. Results Gist (accuracy 94.2% for DA, 86.0% for DB) and PHOG (accuracy 92.3% for DA, 92.0% for DB) features provided better results for both the datasets. These features were implemented to develop a MATLAB toolbox, TB-Xpredict, which is freely available for academic use at http://sourceforge.net/projects/tbxpredict/. This toolbox provides both automated training and prediction modules and does not require expertise in image processing for operation. Conclusion Since the features used in TB-Xpredict do not require segmentation, the toolbox can easily be implemented in X-ray machines. This toolbox can effectively be used for the mass screening of TB in high-burden areas with improved efficiency. PMID

Does hopelessness of Turkish women affect their behavior regarding cervical cancer prevention and early diagnosis?

PubMed

Taşçi-Duran, Emel; Unsal-Atan, Şenay

2013-01-01

The purpose of this descriptive study was to investigate attitudes women of towards cervical cancer prevention applications and early diagnosis, and whether or not their hopelessness levels had any influence. The present study was carried out in Isparta with a descriptive design. A sample of 251 individuals was recruited from January 2011 through May 2011 in the largest tea garden (restaurant- cafe). The data collection tool consisted of two parts: a "Questionnaire Form" identifying women; and the "Beck Hopelessness Scale". Data were analyzed using the Statistical Package for the Social Sciences (SPSS version 16.0 for Windows for the numerical and percentage distribution, average, standard deviation with the ANOVA and Mann-Whitney tests. Some 70.2 % of the woman indicated that they had not taken the Pap test. There was a significant relationship between the hopelessness level and women believing that they could protect themselves from getting cervical cancer (F=10.11 p=0.00). There was a significant relationship between hopelessness levels and believing whether or not early diagnosis tests are deterministic (F=8.781 p=0.00). Our study concluded that the hopelessness level of women had an effect on their thoughts about cervical cancer prevention and early diagnosis.

Diagnosis and management of solitary pulmonary nodules.

PubMed

Jeong, Yeon Joo; Lee, Kyung Soo; Kwon, O Jung

2008-12-01

The advent of computed tomography (CT) screening with or without the help of computer-aided detection systems has increased the detection rate of solitary pulmonary nodules (SPNs), including that of early peripheral lung cancer. Helical dynamic (HD)CT, providing the information on morphologic and hemodynamic characteristics with high specificity and reasonably high accuracy, can be used for the initial assessment of SPNs. (18)F-fluorodeoxyglucose PET/CT is more sensitive at detecting malignancy than HDCT. Therefore, PET/CT may be selectively performed to characterize SPNs when HDCT gives an inconclusive diagnosis. Serial volume measurements are currently the most reliable methods for the tissue characterization of subcentimeter nodules. When malignant nodule is highly suspected for subcentimeter nodules, video-assisted thoracoscopic surgery nodule removal after nodule localization using the pulmonary nodule-marker system may be performed for diagnosis and treatment.

Advances in Bio-Optical Imaging for the Diagnosis of Early Oral Cancer

PubMed Central

Olivo, Malini; Bhuvaneswari, Ramaswamy; Keogh, Ivan

2011-01-01

Oral cancer is among the most common malignancies worldwide, therefore early detection and treatment is imperative. The 5-year survival rate has remained at a dismal 50% for the past several decades. The main reason for the poor survival rate is the fact that most of the oral cancers, despite the general accessibility of the oral cavity, are not diagnosed until the advanced stage. Early detection of the oral tumors and its precursor lesions may be the most effective means to improve clinical outcome and cure most patients. One of the emerging technologies is the use of non-invasive in vivo tissue imaging to capture the molecular changes at high-resolution to improve the detection capability of early stage disease. This review will discuss the use of optical probes and highlight the role of optical imaging such as autofluorescence, fluorescence diagnosis (FD), laser confocal endomicroscopy (LCE), surface enhanced Raman spectroscopy (SERS), optical coherence tomography (OCT) and confocal reflectance microscopy (CRM) in early oral cancer detection. FD is a promising method to differentiate cancerous lesions from benign, thus helping in the determination of adequate resolution of surgical resection margin. LCE offers in vivo cellular imaging of tissue structures from surface to subsurface layers and has demonstrated the potential to be used as a minimally invasive optical biopsy technique for early diagnosis of oral cancer lesions. SERS was able to differentiate between normal and oral cancer patients based on the spectra acquired from saliva of patients. OCT has been used to visualize the detailed histological features of the oral lesions with an imaging depth down to 2–3 mm. CRM is an optical tool to noninvasively image tissue with near histological resolution. These comprehensive diagnostic modalities can also be used to define surgical margin and to provide a direct assessment of the therapeutic effectiveness. PMID:24310585

Identification of serum protein markers for early diagnosis of pregnancy in buffalo.

PubMed

Buragohain, Lukumoni; Nanda, Trilok; Ghosh, Arnab; Ghosh, Mayukh; Kumar, Rajesh; Kumar, Sunil; Gupta, Sambhu Sharan; Bharali, Arpita; Mohanty, Ashok K; Singh, Inderjeet; Balhara, Ashok Kumar

2017-08-01

Improper or delayed pregnancy diagnosis has significant impact over animal production, particularly in buffaloes which inherently suffer from several reproductive inefficiencies. Thus the present study has undertaken to identify serum protein markers pertaining to early pregnancy diagnosis in buffaloes. Serum samples were collected from 10 pregnant Murrah Buffalo heifers at weekly intervals from days 0-35 post-artificial insemination and from 12 inseminated non-pregnant cyclic buffalo heifers on days 0, 7, 14 and 21. Two-dimensional gel electrophoresis and densitometric analysis revealed the presence of five protein spots showing average density fold change of ≥4 during early pregnancy. Mass spectrometry analysis identified these up-regulated proteins as anti-testosterone antibody light chain, apolipoprotein A-II precursor, serum amyloid A, cytokeratin type II, component IV isoform 1, which are have established roles in embryogenesis, but over-expression of the fifth identified protein immunoglobulin lambda light chain in pregnancy has been elucidated as a novel finding in the current study. Further, with bioinformatics analysis, potential antigenic B-cell epitopes were predicted for all these five proteins. An antibody cocktail-based approach involving antibodies against all these five up-regulated entire proteins or their epitopes could be developed for early detection of pregnancy in buffaloes. © 2016 Japanese Society of Animal Science. © 2016 Japanese Society of Animal Science.

Missed Opportunities for Early HIV diagnosis: Critical Insights from Stories of Kenyan Women Living with HIV

PubMed Central

Kako, Peninnah M.; Stevens, Patricia E.; Mkandawire-Valhmu, Lucy; Kibicho, Jennifer; Karani, Anna K.; Dressel, Anne

2013-01-01

Early HIV testing is critical to prevention and timely treatment. Missed opportunities for HIV diagnosis can result in unnecessary deaths at a time when access to antiretroviral treatment proves life saving. While HIV prevention and treatment research has increased, less research exists on women's experiences with HIV diagnosis, despite the fact that women are most affected. Insights from local women are critical in designing culturally meaningful interventions that thwart missed opportunities for early HIV diagnosis. The purpose of our study was to uncover steps women took to know their HIV diagnosis. Using narrative inquiry methodology informed by post-colonial feminism, we interviewed 40 HIV- positive women in Kenya. Five themes emerged related to uptake of HIV testing for women: (a) spouse's critical illness or death; (b) years of suffering from HIV-related symptoms; (c) sick children; (d) prenatal testing; and (e) personal desire to know one's HIV status. These findings centered on women experiences provide an important basis for health promotion interventions related to HIV prevention, earlier detection, and treatment. PMID:24273455

Early Pregnancy Diabetes Screening and Diagnosis: Prevalence, Rates of Abnormal Test Results, and Associated Factors.

PubMed

Mission, John F; Catov, Janet; Deihl, Tiffany E; Feghali, Maisa; Scifres, Christina

2017-11-01

To evaluate the prevalence of early diabetes screening in pregnancy, rates of abnormal diabetes test results before 24 weeks of gestation, and factors associated with early diabetes screening. This was a retrospective cohort study of all singleton deliveries from 2012 to 2014 among diverse clinical practices at a large academic medical center. We assessed rates of early (less than 24 weeks of gestation) and routine (at or beyond 24 weeks of gestation) diabetes screening, with abnormal test results defined using the Carpenter-Coustan criteria, a 50-g glucose challenge test result greater than 200 mg/dL, or a hemoglobin A1C level greater than 6.5%. Univariate and multivariate analyses were used to evaluate clinical and demographic determinants of screening and diagnosis. Overall, 1,420 of 11,331 (12.5%) women underwent early screening. Increasing body mass index (BMI) category, race, public insurance, history of gestational diabetes mellitus, a family history of diabetes, and chronic hypertension were associated with early screening. Early screening rates rose with increasing BMI category, but only 268 of 551 (48.6%) of women with class III obesity underwent early screening. Among those screened early, 2.0% of normal-weight women, 4.0% of overweight women, 4.2% of class I obese women, 3.8% of class II obese women, and 9.0% of class III obese women had abnormal early test results (P<.001). Early diabetes screening is used inconsistently, and many women with risk factors do not undergo early screening. A significant proportion of women with class III obesity will test positive for gestational diabetes mellitus before 24 weeks of gestation, and studies are urgently needed to assess the effect of early diabetes screening and diagnosis on perinatal outcomes in high-risk women.

Detection, modeling and matching of pleural thickenings from CT data towards an early diagnosis of malignant pleural mesothelioma

NASA Astrophysics Data System (ADS)

Chaisaowong, Kraisorn; Kraus, Thomas

2014-03-01

Pleural thickenings can be caused by asbestos exposure and may evolve into malignant pleural mesothelioma. While an early diagnosis plays the key role to an early treatment, and therefore helping to reduce morbidity, the growth rate of a pleural thickening can be in turn essential evidence to an early diagnosis of the pleural mesothelioma. The detection of pleural thickenings is today done by a visual inspection of CT data, which is time-consuming and underlies the physician's subjective judgment. Computer-assisted diagnosis systems to automatically assess pleural mesothelioma have been reported worldwide. But in this paper, an image analysis pipeline to automatically detect pleural thickenings and measure their volume is described. We first delineate automatically the pleural contour in the CT images. An adaptive surface-base smoothing technique is then applied to the pleural contours to identify all potential thickenings. A following tissue-specific topology-oriented detection based on a probabilistic Hounsfield Unit model of pleural plaques specify then the genuine pleural thickenings among them. The assessment of the detected pleural thickenings is based on the volumetry of the 3D model, created by mesh construction algorithm followed by Laplace-Beltrami eigenfunction expansion surface smoothing technique. Finally, the spatiotemporal matching of pleural thickenings from consecutive CT data is carried out based on the semi-automatic lung registration towards the assessment of its growth rate. With these methods, a new computer-assisted diagnosis system is presented in order to assure a precise and reproducible assessment of pleural thickenings towards the diagnosis of the pleural mesothelioma in its early stage.

Sharing information about diagnosis and outcome of first-episode psychosis in patients presenting to early intervention services.

PubMed

Farooq, Saeed; Green, Debra J; Singh, Swaran P

2018-05-04

First-episode psychosis (FEP) can be a serious and debilitating disease, but there is limited literature on how to inform patients and carers about its diagnosis and outcome. We aimed to examine the attitudes, practices and views of clinicians working in Early Intervention Service about sharing information on diagnosis and outcome of FEP. A 26-item questionnaire was sent electronically to clinical staff who have been involved in the discussion of FEP diagnosis in Early Intervention Services in the West Midlands, UK. A total of 51 clinicians completed the questionnaire. All respondents stated that patients or carers of those presenting with FEP wish to be informed of their diagnosis, and three-quarters (76%) felt there is a need to develop guidelines on how to inform about diagnosis; 57% stated that they usually use broad diagnostic groups such as psychosis when discussing diagnosis, and only 11% use the term schizophrenia. A total of 40% thought that the therapeutic relationship and treatment adherence (58%) would improve if patients know about their diagnosis; 42 (88%) respondents felt that the likely outcome of the illness should also be discussed with patients when the diagnosis is communicated. The clinicians were aware that service users wished to be informed about the diagnosis and outcome of FEP but had no guidance on the subject. Despite the limitations of an online self-administered survey, the study highlights the need for guidance and improving clinical practice in discussing the diagnosis of FEP in a vulnerable population. © 2018 John Wiley & Sons Australia, Ltd.

Project for the National Program of Early Diagnosis of Endometrial Cancer Part I.

PubMed

Bohîlțea, R E; Ancăr, V; Cirstoiu, M M; Rădoi, V; Bohîlțea, L C; Furtunescu, F

2015-01-01

Endometrial cancer recorded a peak incidence in ages 60-64 years in Romania, reaching in 2013 the average value of 8.06/ 100,000 women, and 15.97/ 100,000 women within the highest risk age range, having in recent years an increasing trend, being higher in urban than in rural population. Annually, approximately 800 new cases are registered in our country. The estimated lifetime risk of a woman to develop endometrial cancer is of about 1,03%. Based on an abnormal uterine bleeding, 35% of the endometrial cancers are diagnosed in an advanced stage of the disease, with significantly diminished lifetime expectancy. Drafting a national program for the early diagnosis of endometrial cancer. We proposed a standardization of the diagnostic steps and focused on 4 key elements for the early diagnosis of endometrial cancer: investigation of abnormal uterine bleeding occurring in pre/ post-menopausal women, investigating features/ anomalies of cervical cytology examination, diagnosis, treatment and proper monitoring of precursor endometrial lesions or cancer associated endometrial lesions and screening high risk populations (Lynch syndrome, Cowden syndrome). Improving medical practice based on diagnostic algorithms addresses the four risk groups, by improving information system reporting and record keeping. Improving addressability cases by increasing the health education of the population will increase the rate of diagnosis of endometrial cancer in the early stages of the disease. ACOG = American Society of Obstetricians and Gynecologists, ASCCP = American Society for Colposcopy and Cervical Pathology, PATT = Partial Activated Thromboplastin Time, BRCA = Breast Cancer Gene, CT = Computerized Tomography, IFGO = International Federation of Gynecology and Obstetrics, HLG = Hemoleucogram, HNPCC = Hereditary Nonpolyposis Colorectal Cancer (Lynch syndrome), IHC = Immunohistochemistry, BMI = Body Mass Index, INR = International Normalized Ratio, MSI = Microsatellites instability, MSI

Oral cancer. The importance of early diagnosis and treatment.

PubMed

Sciubba, J J

2001-01-01

Oral cancer is an important health issue. The WHO predicts a continuing worldwide increase in the number of patients with oral cancer, extending this trend well into the next several decades. In the US the projected number of new cases of oral and oropharyngeal cancer will exceed 31,000 per year. Mortality due to cancers in this region exceeds the annual death rate is the US caused by either cutaneous melanoma or cervical cancer. Significant agents involved in the etiology of oral cancer in Western countries include sunlight exposure, smoking and alcohol consumption. Use of the areca or betel nut in many cultures is a major etiological factor outside of the USA. Other etiologic factors associated with oral squamous cell carcinoma, but far less significant statistically, include syphilis and sideropenic dysphagia. Recently, strong evidence for an etiological relationship between human papilloma virus and a subset of head and neck cancers has been noted. It is generally accepted that most sporadic tumors are the result of a multi-step process of accumulated genetic alterations. These alterations affect epithelial cell behavior by way of loss of chromosomal heterozygosity which in turn leads to a series of events progressing to the ultimate stage of invasive squamous cell carcinoma. The corresponding genetic alterations are reflected in clinical and microscopic pathology from hyperplasia through invasiveness. A wide range of mucosal alternations fall within the rubric of leukoplakia. Proliferative verrucous leukoplakia represents a relatively new type of leukoplakia that is separate from the more common or less innocuous form of this condition. Erythroplakia is particularly relevant considering its almost certain relationship with dysplasia or invasive carcinoma. Squamous cell carcinoma will develop from antecedent dysplastic oral mucosal lesions if an early diagnosis has not been made and treatment given. Early diagnosis within stages I and II correspond to a vastly

Does adenosine deaminase activity play a role in the early diagnosis of ectopic pregnancy?

PubMed

Turkmen, G G; Karçaaltıncaba, D; Isık, H; Fidancı, V; Kaayalp, D; Tımur, H; Batıoglu, S

2016-01-01

Early diagnosis of ectopic pregnancy (EP) is important due to life-threatening consequences in the first trimester of pregnancy. In this study we aimed to investigate the role of adenosine deaminase (ADA) activity in the prediction of EP. Forty-one patients with unruptured ectopic pregnancy comprised the case group and forty-two first trimester pregnant women with shown foetal heart beating in ultrasound comprised the control group. The mean ADA level in EP (10.9 ± 3.0 IU/L) was higher than that in control group (9.2 ± 3.6 IU/L) (p = 0.018). Receiver operating characteristics or ROC curve identified ADA value of 10.95 IU/L as optimal threshold for the prediction of EP with 56% sensitivity and 67% specificity. High ADA levels are valuable in the early diagnosis of EP. However more comprehensive studies are required.

Potential Role of Neuroimaging Markers for Early Diagnosis of Dementia in Primary Care.

PubMed

Teipel, Stefan; Kilimann, Ingo; Thyrian, Jochen R; Kloppel, Stefan; Hoffmann, Wolfgang

2018-01-01

The use of imaging markers for the diagnosis of predementia and early dementia stages of Alzheimer's disease (AD) has widely been explored in research settings and specialized care. The use of these markers in primary care has yet to be established. Summarize current evidence for the usefulness of imaging markers for AD in primary compared to specialized care settings. Selective overview of the literature, and pilot data on the use of MRI-based hippocampus and basal forebrain volumetry for the discrimination of AD dementia and mild cognitive impairment (MCI) cases from healthy controls in 58 cases from a primary care cohort and 58 matched cases from a memory clinic's sample. Molecular imaging marker of amyloid pathology, and volumetric markers of regional and whole brain atrophy support the diagnosis of AD dementia and MCI due to AD, and contribute to confidence in the differential diagnosis of AD and non-AD related dementias in specialized care. Limited evidence from the literature and our primary care cohort suggests that the diagnostic accuracy of volumetric imaging markers may be similar in the dementia stage of AD, but may be inferior for cases with MCI in primary compared with specialized care. Evidence is still widely lacking on the use of imaging markers for early and differential diagnosis of AD dementia, and detection of prodromal AD in primary care. Further progress to fill this gap will depend on the availability of international multimodal data from well-defined primary care cohorts. Copyright© Bentham Science Publishers; For any queries, please email at epub@benthamscience.org.

A Guide to Screening for the Early and Periodic Screening, Diagnosis and Treatment Program (EPSDT) Under Medicaid.

ERIC Educational Resources Information Center

Frankenburg, William K.; North, A. Frederick, Jr.

The manual was designed to help public officials, physicians, nurses, and others to plan and implement an Early and Periodic Screening, Diagnosis and Treatment (EPSDT) program under Medicaid. Procedures for carrying out components of an EPSDT program are recommended. Part 1 discusses organization and administration of screening, diagnosis, and…

[Quality of life of people living with HIV/AIDS and its relationship with CD4+ lymphocytes, viral load and time of diagnosis].

PubMed

Ferreira, Brunno Elias; Oliveira, Isabele Mendes; Paniago, Anamaria Mello Miranda

2012-03-01

Quality of life (QOL) has accompanied the treatment of AIDS patients, along with pharmacological innovations that have allowed patients to live longer and maintain their well-being. The present study aimed at evaluating the QOL of these patients and correlate it with clinical and laboratory data. The study included 205 patients with HIV/AIDS, who answered the WHOQOL-120-HIV; and whose socio-demographic data, clinical and laboratory findings were collected. The average age was 40.59 ± 11.81 years; CD4+ lymphocyte count, 397.9 ± 232.84 mm³; and years of diagnosis of HIV, 5.23 ± 3.94. Viral load was <50 copies/ml in 115 patients; 50 to 10.000 in 61; and above 10.000 copies in 29 patients. Domains achieved satisfactory average scores, and the best were the psychological (14.5 ± 2.7), followed by social relationships (13.7 ± 2.2), physical (12.7 ± 3.5), independence (12.6 ± 2.5), personal beliefs (12.4 ± 2.4), and environment (12.4 ± 1.8). The best scores on pain, pleasure, social support, physical environment, and personal belief facets were observed for those with higher CD4 levels (p < 0.05). The best scores for the finance, leisure, concerns about the future, overall QOL, and perceived health facets were observed for patients with viral load <50 (p < 0.05). The highest rates for energy, fatigue, sexual activity, information, transportation, symptoms, care, and concerns about the future facets were seen in patients with less time of diagnosis (p < 0.05). HIV/AIDS patients in the study had an intermediate QOL correlating to CD4 levels, VL, and time of diagnosis.

Use of MRI for the early diagnosis of masticatory muscle myositis.

PubMed

Cauduro, Alberto; Paolo, Favole; Asperio, Roberto M; Rossini, Valeria; Dondi, Maurizio; Simonetto, Lucia A; Cantile, Carlo; Lorenzo, Valentina

2013-01-01

The medical records of two dogs that were diagnosed with masticatory muscle myositis (MMM) were reviewed. The reported clinical signs included intense pain when opening the mouth and restricted jaw movement. MRI detected widespread, symmetrical, and inhomogeneously hyperintense areas in the masticatory muscle. Electromyography (EMG) demonstrated severe and spontaneous pathologic activity in the temporal and masseter muscles. With early therapeutic treatment, remission of symptoms occurred within 2 mo, and no relapses were observed for the subsequent 2 yr. The gold standard for the diagnosis of MMM is the 2M antibody test, but the purpose of this study was to evaluate the use of MRI as an accurate and efficient diagnostic tool for the initiation of early therapy for the treatment of muscle myositis.

Psychological aspects of therapeutic abortion after early prenatal diagnosis.

PubMed

Di Giusto, M; Lazzari, R; Giorgetti, T; Paesano, R; Pachi, A

1991-01-01

The early discovery of a fetal pathology creates a "crisis" situation fraught with psychic problems for the couple who must live through it. The Authors observed a group of patients in the second trimester of pregnancy. They had all requested therapeutic abortion since serious malformation of the fetus had been confirmed. By means of a questionnaire constructed for the purpose, certain characteristics of fetal malformation and of pregnancy were evidenced, as well as the way these were experienced by the patients. The immediate and delayed reactions to the diagnosis of malformation were also studied, as was the experience lived when faced with the choice of abortion.

B-type natriuretic peptide measurement for early diagnosis of acute pulmonary edema during pregnancy.

PubMed

Seror, Jeremy; Lefevre, Guillaume; Berkane, Nathalie; Richard, Frederic; Bornes, Marie; Uzan, Serge; Berkane, Nadia

2014-12-01

Calcium-channel blockers administered to pregnant women as tocolytic agents can cause acute pulmonary edema. The first signs of this severe complication can be atypical and so delay introduction of appropriate therapy. We describe three cases in whom B-type natriuretic peptide measurements proved to be relevant in early diagnosis and monitoring of pregnant women with acute pulmonary edema. B-type natriuretic peptide measurement in this setting could contribute to timely diagnosis and improve follow-up. © 2014 Nordic Federation of Societies of Obstetrics and Gynecology.

Computer-aided diagnosis with radiogenomics: analysis of the relationship between genotype and morphological changes of the brain magnetic resonance images.

PubMed

Kai, Chiharu; Uchiyama, Yoshikazu; Shiraishi, Junji; Fujita, Hiroshi; Doi, Kunio

2018-05-10

In the post-genome era, a novel research field, 'radiomics' has been developed to offer a new viewpoint for the use of genotypes in radiology and medicine research which have traditionally focused on the analysis of imaging phenotypes. The present study analyzed brain morphological changes related to the individual's genotype. Our data consisted of magnetic resonance (MR) images of patients with mild cognitive impairment (MCI) and Alzheimer's disease (AD), as well as their apolipoprotein E (APOE) genotypes. First, statistical parametric mapping (SPM) 12 was used for three-dimensional anatomical standardization of the brain MR images. A total of 30 normal images were used to create a standard normal brain image. Z-score maps were generated to identify the differences between an abnormal image and the standard normal brain. Our experimental results revealed that cerebral atrophies, depending on genotypes, can occur in different locations and that morphological changes may differ between MCI and AD. Using a classifier to characterize cerebral atrophies related to an individual's genotype, we developed a computer-aided diagnosis (CAD) scheme to identify the disease. For the early detection of cerebral diseases, a screening system using MR images, called Brain Check-up, is widely performed in Japan. Therefore, our proposed CAD scheme would be used in Brain Check-up.

Missed opportunities in the diagnosis of human immunodeficiency virus infection in the Region of Aragon. Late diagnosis importance.

PubMed

Gargallo-Bernad, César; Sangrós-González, Francisco Javier; Arazo-Garcés, Piedad; Martínez-Álvarez, Rosa; Malo-Aznar, Carmen; Gargallo-Bernad, Alicia; Ballester-Luna, Alba; Cabrero-Pascual, Luis Eduardo; Gil-Orna, Pablo; Abadía-Gallego, Víctor José; Torres-Peña, Isabel; Ordiz-Suárez, Héctor

2018-04-30

Late Diagnosis (LD) of Human Immunodeficiency Virus (HIV) infection (CD4 lymphocytes <350/μl at diagnosis of the disease), deteriorates the condition of those affected and increases the probability of transmission. The objective of the present study was to analyse the prevalence of LD, to identify missed diagnostic opportunities (MDO) and to find out which level of the health care delivery system they took place. Retrospective, observational and descriptive study of the population diagnosed with infection of HIV/AIDS in the period 2011-2015 in Aragon. MDO were identified during the 3 years prior to diagnosis of the disease in all levels of the health care delivery system as well as frequentation of consultations. The indicator conditions (IC) that generated more MDO were analysed according to the latest recommendations for early diagnosis of HIV in the health care setting. 435 newly diagnosed HIV/AIDS cases were analysed. 45.1% were diagnosed in Primary Healthcare (PH). 49.4% presented criteria of LD and 61.1% were infected through heterosexual contact. The majority of MDO (68.5%) were given in PH. The IC that generated the most MDO were seborrheic dermatitis/exanthema (19.4%) and fever of unknown origin (10.3%). However, the IC that were associated with higher LD were pneumonia acquired in the community and unjustified weight loss. In Aragon, prevalence of LD is high, the main route of infection is heterosexual and most of MDO go unnoticed in PH. The dissemination of current guidelines for requesting IC guided HIV testing and HIV screening across the preoperative period will result in an effective measure to decrease the LD. Copyright © 2018 Elsevier España, S.L.U. and Sociedad Española de Enfermedades Infecciosas y Microbiología Clínica. All rights reserved.

Some Limitations for Early Diagnosis of Congenital Chagas Infection by PCR.

PubMed

Volta, Bibiana Julieta; Perrone, Alina Elizabet; Rivero, Rocío; Scollo, Karenina; Bustos, Patricia Laura; Bua, Jacqueline

2018-04-01

Trypanosoma cruzi , the causing agent of Chagas disease, can be transmitted to the offspring of infected pregnant women, thus being an epidemiologically important way of parasite transmission in humans. In addition, the migration of infected women from endemic areas to nonendemic countries may export this parasite infection. The diagnosis of congenital Chagas disease relies on the detection of the parasite because maternal antibodies are passively transferred to infants during pregnancy. The diagnosis of congenital infection can also be confirmed by detection of infant-specific anti- T cruzi antibodies at 10 months after delivery. Because early detection of T cruzi infection in newborns allows an efficient trypanocidal treatment and cure, more sensitive molecular techniques such as DNA amplification are being used for a prompt parasitological diagnosis of children born to seropositive mothers. In this report, we describe a diagnosis case of a child congenitally infected with T cruzi who tested negative for parasite detection both by microscopic observation and DNA amplification at 20 days and 6 months after delivery. However, at 7 months of age, a hemoculture was made from the infant's blood, and the infective parasite was finally isolated and classified as T cruzi discrete typing unit I. In a retrospective study, real-time polymerase chain reaction also allowed detecting the parasite but failed to detect any parasite load in earlier control samples. This case report stresses that even when molecular techniques are negative, a long-term follow-up is necessary for the diagnosis of infants congenitally infected with T cruzi . Copyright © 2018 by the American Academy of Pediatrics.

The impacts of AIDS movements on the policy responses to HIV/AIDS in Brazil and South Africa: A comparative analysis

PubMed Central

Nunn, Amy; Dickman, Samuel; Nattrass, Nicoli; Cornwall, Alexandra; Gruskin, Sofia

2013-01-01

Brazil and South Africa were among the first countries profoundly impacted by the HIV/AIDS epidemic and had similar rates of HIV infection in the early 1990s. Today, Brazil has less than 1% adult HIV prevalence, implemented treatment and prevention programmes early in the epidemic, and now has exemplary HIV/AIDS programmes. South Africa, by contrast, has HIV prevalence of 18% and was, until recently, infamous for its delayed and inappropriate response to the HIV/ AIDS epidemic. This article explores how differing relationships between AIDS movements and governments have impacted the evolving policy responses to the AIDS epidemic in both countries, including through AIDS programme finance, leadership and industrial policy related to production of generic medicines. PMID:23137055

Joint Pairing and Structured Mapping of Convolutional Brain Morphological Multiplexes for Early Dementia Diagnosis.

PubMed

Lisowska, Anna; Rekik, Islem

2018-06-21

Diagnosis of brain dementia, particularly early mild cognitive impairment (eMCI), is critical for early intervention to prevent the onset of Alzheimer's Disease (AD), where cognitive decline is severe and irreversible. There is a large body of machine-learning based research investigating how dementia alters brain connectivity, mainly using structural (derived from diffusion MRI) and functional (derived from resting-state functional MRI) brain connectomic data. However, how early dementia affects cortical brain connections in morphology remains largely unexplored. To fill this gap, we propose a joint morphological brain multiplexes pairing and mapping strategy for early MCI detection, where a brain multiplex not only encodes the similarity in morphology between pairs of brain regions, but also a pair of brain morphological networks. Experimental results confirm that the proposed framework outperforms in classification accuracy several state-of-the-art methods. More importantly, we unprecedentedly identified most discriminative brain morphological networks between eMCI and NC, which included the paired views derived from maximum principal curvature and the sulcal depth for the left hemisphere and sulcal depth and the average curvature for the right hemisphere. We also identified the most highly correlated morphological brain connections in our cohort, which included the (pericalcarine cortex, insula cortex) on the maximum principal curvature view, (entorhinal cortex, insula cortex) on the mean sulcal depth view, and (entorhinal cortex, pericalcarine cortex) on the mean average curvature view, for both hemispheres. These highly correlated morphological connections might serve as biomarkers for early MCI diagnosis.

Neglected evidence in idiopathic pulmonary fibrosis and the importance of early diagnosis and treatment.

PubMed

Cottin, Vincent; Richeldi, Luca

2014-03-01

In idiopathic pulmonary fibrosis (IPF), some facts or concepts based on substantial evidence, whilst implicit for learned subspecialists, have previously been neglected and/or not explicitly formulated or made accessible to a wider audience. IPF is strongly associated with cigarette smoking and is predominantly a disease of ageing. However, its cause(s) remain elusive and, thus, it is one of the most challenging diseases for the development of novel effective and safe therapies. With the approval of pirfenidone for patients with mild-to-moderate IPF, an earlier diagnosis of IPF is a prerequisite for earlier treatment and, potentially, improvement of the long-term clinical outcome of this progressive and ultimately fatal disease. An earlier diagnosis may be achieved in IPF by promoting thin-slice chest high-resolution computed tomography screening of interstitial lung disease as a "by-product" of large-scale lung cancer screening strategies in smokers, but other techniques, which have been neglected in the past, are now available. Lung auscultation and early identification of "velcro" crackles has been proposed as a key component of early diagnosis of IPF. An ongoing study is exploring correlations between lung sounds on auscultation obtained using electronic stethoscopes and high-resolution computed tomography patterns.

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

Mandibular Symmetrical Bilateral Canine-Lateral Incisors Transposition: Its Early Diagnosis and Treatment Considerations.

PubMed

Shapira, Yehoshua; Finkelstein, Tamar; Kadry, Rana; Schonberger, Shirley; Shpack, Nir

2016-01-01

Bilateral mandibular tooth transposition is a relatively rare dental anomaly caused by distal migration of the mandibular lateral incisors and can be detected in the early mixed dentition by radiographic examination. Early diagnosis and interceptive intervention may reduce the risk of possible transposition between the mandibular canine and lateral incisor. This report illustrates the orthodontic management of bilateral mandibular canine-lateral incisor transposition. Correct positioning of the affected teeth was achieved on the left side while teeth on the right side were aligned in their transposed position. It demonstrates the outcome of good alignment of the teeth in the dental arch.

Detection of urinary biomarkers for early diagnosis of acute renal allograft rejection by proteomic analysis.

PubMed

Jia, Xiongfei; Gan, Chengjun; Xiao, Ke; He, Weifeng; Zhang, Tao; Huang, Cibing; Wu, Xiongfei; Luo, Gaoxing; Wang, Xiaojuan; Hu, Jie; Tan, Jiangling; Zhang, Xiaorong; Larsen, Peter Mose; Wu, Jun

2009-06-01

Acute allograft rejection has been recognized as a major impediment to improved success in renal transplantation. Timely detection and control of rejection are very important for the improvement in long-term renal allograft survival. Thus, biomarkers for early diagnosis of acute rejection are required urgently to clinical medication. This study seeks to search for such biomarker candidates by comparing patients' pre-treatment urinary protein profiling with their post-treatment urinary protein profiling. A total of 15 significantly and consistently down-regulated protein candidates were identified. Among them, alpha-1-antichymotrypsin precursor (AACT), tumor rejection antigen gp96 (GP96) and Zn-Alpha-2-Glycoprotein (ZAG) were selected for further analysis. The results indicated that Western Blot assay of AACT, GP96 and ZAG had advanced the diagnosis time of acute renal rejection by 3 days, compared with current standard clinical observation and laboratory examination. Furthermore, the double-blind detection revealed that the accuracy, sensitivity and specificity of the diagnosis of acute renal rejection of AACT, GP96 and ZAG were 66.67%/100%/60%, 83.33%/100%/80% and 66.67%/100%/60%, respectively, and 100%/100%/100% in combination. In conclusion, urinary protein AACT, GP96 and ZAG could be a set of potential biomarkers for early non-invasive diagnosis of the acute rejection after renal transplantation. Copyright © 2009 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

Label-free nanoplasmonic sensing of tumor-associate autoantibodies for early diagnosis of colorectal cancer.

PubMed

Soler, Maria; Estevez, M-Carmen; Villar-Vazquez, Roi; Casal, J Ignacio; Lechuga, Laura M

2016-08-03

Colorectal cancer is treatable and curable when detected at early stages. However there is a lack of less invasive and more specific screening and diagnosis methods which would facilitate its prompt identification. Blood circulating autoantibodies which are immediately produced by the immune system at tumor appearance have become valuable biomarkers for preclinical diagnosis of cancer. In this work, we present the rapid and label-free detection of colorectal cancer autoantibodies directly in blood serum or plasma using a recently developed nanoplasmonic biosensor. Our nanoplasmonic device offers sensitive and real-time quantification of autoantibodies with excellent selectivity and reproducibility, achieving limits of detection around 1 nM (150-160 ng mL(-1)). A preliminary evaluation of clinical samples of colorectal cancer patients has shown good correlation with ELISA. These results demonstrate the reliability of the nanobiosensor strategy and pave the way towards the achievement of a sensitive diagnostic tool for early detection of colorectal cancer. Copyright © 2016 Elsevier B.V. All rights reserved.

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.

The role of magnetic resonance imaging in the diagnosis of Parkinson's disease: a review.

PubMed

Al-Radaideh, Ali M; Rababah, Eman M

2016-01-01

Parkinson's disease (PD) is the second most common neurodegenerative disease after Alzheimer's in elderly people. Different structural and functional neuroimaging methods play a great role in the early diagnosis of neurodegenerative diseases. This review discusses the role of magnetic resonance imaging (MRI) in the diagnosis of PD. MRI provides clinicians with structural and functional information of human brain noninvasively. Advanced quantitative MRI techniques have shown promise for detecting pathological changes related to different stages of PD. Collectively, advanced MRI techniques at high and ultrahigh magnetic fields aid in better understanding of the nature and progression of PD. Copyright © 2016 Elsevier Inc. All rights reserved.

Low dopamine function in attention deficit/hyperactivity disorder: should genotyping signify early diagnosis in children?

PubMed

Gold, Mark S; Blum, Kenneth; Oscar-Berman, Marlene; Braverman, Eric R

2014-01-01

Attention deficit/hyperactivity disorder (ADHD) is present in 8% to 12% of children, and 4% of adults worldwide. Children with ADHD can have learning impairments, poor selfesteem, social dysfunction, and an increased risk of substance abuse, including cigarette smoking. Overall, the rate of treatment with medication for patients with ADHD has been increasing since 2008, with ≥ 2 million children now being treated with stimulants. The rise of adolescent prescription ADHD medication abuse has occurred along with a concomitant increase of stimulant medication availability. Of adults presenting with a substance use disorder (SUD), 20% to 30% have concurrent ADHD, and 20% to 40% of adults with ADHD have a history of SUD. Following a brief review of the etiology of ADHD, its diagnosis and treatment, we focus on the benefits of early and appropriate testing for a predisposition to ADHD. We suggest that by genotyping patients for a number of known, associated dopaminergic polymorphisms, especially at an early age, misdiagnoses and/or over-diagnosis can be reduced. Ethical and legal issues of early genotyping are considered. As many as 30% of individuals with ADHD are estimated to either have secondary side-effects or are not responsive to stimulant medication. We also consider the benefits of non-stimulant medication and alternative treatment modalities, which include diet, herbal medications, iron supplementation, and neurofeedback. With the goals of improving treatment of patients with ADHD and SUD prevention, we encourage further work in both genetic diagnosis and novel treatment approaches.

Early diagnosis of hantavirus infection by family doctors can reduce inappropriate antibiotic use and hospitalization.

PubMed

Brorstad, Alette; Oscarsson, Kristina Bergstedt; Ahlm, Clas

2010-09-01

Hantavirus infections are emerging infections that cause either Hantavirus pulmonary syndrome or haemorrhagic fever with renal syndrome (HFRS). A recent Swedish outbreak of nephropathia epidemica, a European HFRS, was analysed to study the patient flow and clinical picture and to investigate the value of an early diagnosis in general practice. Design. In a retrospective design, medical records of verified cases of Hantavirus infection were studied. The study was conducted in the county of Norrbotten, Sweden. Data from Hantavirus patients diagnosed between 2006 and 2008 were analysed. Demographic data, level of care, treatment, clinical symptoms, and laboratory findings were obtained. In total, 456 cases were included (58% males and 42% females). The majority of patients first saw their general practitioner and were exclusively treated in general practice (83% and 56%, respectively). When diagnosed correctly at the first visit, antibiotics and hospitalization were significantly lowered compared with delayed diagnosis (14% vs. 53% and 30% vs. 54%, respectively; p < 0.0001). The clinical picture was diverse. Early thrombocytopenia was found in 65% of the patients, and haemorrhagic manifestations were documented in a few cases. Signs of renal involvement--haematuria, proteinuria, and raised levels of serum creatinine--were found in a majority of patients. Raised awareness in general practice regarding emerging infections and better diagnostic tools are desirable. This study of a Hantavirus outbreak shows that general practitioners are frontline doctors during outbreaks and through early and correct diagnosis they can reduce antibiotic treatment and hospitalization.

Computer aided diagnosis system for the Alzheimer's disease based on partial least squares and random forest SPECT image classification.

PubMed

Ramírez, J; Górriz, J M; Segovia, F; Chaves, R; Salas-Gonzalez, D; López, M; Alvarez, I; Padilla, P

2010-03-19

This letter shows a computer aided diagnosis (CAD) technique for the early detection of the Alzheimer's disease (AD) by means of single photon emission computed tomography (SPECT) image classification. The proposed method is based on partial least squares (PLS) regression model and a random forest (RF) predictor. The challenge of the curse of dimensionality is addressed by reducing the large dimensionality of the input data by downscaling the SPECT images and extracting score features using PLS. A RF predictor then forms an ensemble of classification and regression tree (CART)-like classifiers being its output determined by a majority vote of the trees in the forest. A baseline principal component analysis (PCA) system is also developed for reference. The experimental results show that the combined PLS-RF system yields a generalization error that converges to a limit when increasing the number of trees in the forest. Thus, the generalization error is reduced when using PLS and depends on the strength of the individual trees in the forest and the correlation between them. Moreover, PLS feature extraction is found to be more effective for extracting discriminative information from the data than PCA yielding peak sensitivity, specificity and accuracy values of 100%, 92.7%, and 96.9%, respectively. Moreover, the proposed CAD system outperformed several other recently developed AD CAD systems. Copyright 2010 Elsevier Ireland Ltd. All rights reserved.

Self-care of elderly people after the diagnosis of acquired immunodeficiency syndrome.

PubMed

Araujo, Graciela Machado de; Leite, Marinês Tambara; Hildebrandt, Leila Mariza; Oliveski, Cinthia Cristina; Beuter, Margrid

2018-01-01

to characterize the seropositive elderly for the Human Immunodeficiency Virus and Acquired Immunodeficiency Syndrome (HIV/AIDS) in their socio-demographic aspects; to understand how the elderly take care of themselves from the diagnosis of HIV/AIDS. Qualitative, descriptive, exploratory research conducted at a Voluntary Counseling and Testing Center with 10 elderly people receiving treatment for HIV/AIDS. The data were analyzed according to the content analysis. Data show the elderly people's lack of knowledge about HIV/AIDS transmission, the experience of being elderly and having HIV/AIDS, caring for oneself and life after diagnosis of HIV/AIDS in their daily lives. Final considerations: The diagnosis of HIV/AIDS seropositivity in the elderly generates a blend of feelings and fears that lead to food changes, adherence to treatment and the renunciation of daily and social habits, manifested as ways of self-care.

Early Radiosurgery Improves Hearing Preservation in Vestibular Schwannoma Patients With Normal Hearing at the Time of Diagnosis

DOE Office of Scientific and Technical Information (OSTI.GOV)

Akpinar, Berkcan; Mousavi, Seyed H., E-mail: mousavish@upmc.edu; McDowell, Michael M.

Purpose: Vestibular schwannomas (VS) are increasingly diagnosed in patients with normal hearing because of advances in magnetic resonance imaging. We sought to evaluate whether stereotactic radiosurgery (SRS) performed earlier after diagnosis improved long-term hearing preservation in this population. Methods and Materials: We queried our quality assessment registry and found the records of 1134 acoustic neuroma patients who underwent SRS during a 15-year period (1997-2011). We identified 88 patients who had VS but normal hearing with no subjective hearing loss at the time of diagnosis. All patients were Gardner-Robertson (GR) class I at the time of SRS. Fifty-seven patients underwent earlymore » (≤2 years from diagnosis) SRS and 31 patients underwent late (>2 years after diagnosis) SRS. At a median follow-up time of 75 months, we evaluated patient outcomes. Results: Tumor control rates (decreased or stable in size) were similar in the early (95%) and late (90%) treatment groups (P=.73). Patients in the early treatment group retained serviceable (GR class I/II) hearing and normal (GR class I) hearing longer than did patients in the late treatment group (serviceable hearing, P=.006; normal hearing, P<.0001, respectively). At 5 years after SRS, an estimated 88% of the early treatment group retained serviceable hearing and 77% retained normal hearing, compared with 55% with serviceable hearing and 33% with normal hearing in the late treatment group. Conclusions: SRS within 2 years after diagnosis of VS in normal hearing patients resulted in improved retention of all hearing measures compared with later SRS.« less

Death and AIDS: A Review of the Medico-Legal Literature.

ERIC Educational Resources Information Center

Huber, Jeffrey T.

1993-01-01

Notes that diagnosis of Acquired Immune Deficiency Syndrome (AIDS) continues to denote death sentence. Contends that AIDS is unique terminal illness in that no other single disease in history of American legal system has generated more litigation than AIDS. Examines medico-legal issues associated with AIDS-related death: estate planning,…

Prenatal and Early Postnatal Diagnosis of Congenital Toxoplasmosis in a Setting With No Systematic Screening in Pregnancy.

PubMed

Stajner, Tijana; Bobic, Branko; Klun, Ivana; Nikolic, Aleksandra; Srbljanovic, Jelena; Uzelac, Aleksandra; Rajnpreht, Irena; Djurkovic-Djakovic, Olgica

2016-03-01

To determine the risk of congenital toxoplasmosis (CT) and provide early (pre- or postnatal) identification of cases of CT in the absence of systematic screening in pregnancy.I n the presented cross-sectional study, serological criteria were used to date Toxoplasma gondii infection versus conception in 80 pregnant women with fetal abnormalities or referred to as suspected of acute infection, and in 16 women after delivery of symptomatic neonates. A combination of serological, molecular (qPCR), and biological (bioassay) methods was used for prenatal and/or postnatal diagnosis of CT. Most (77.5%) pregnant women were examined in advanced pregnancy. Of all the examined seropositive women (n = 90), infection could not be ruled out to have occurred during pregnancy in 93.3%, of which the majority (69%) was dated to the periconceptual period. CT was diagnosed in 25 cases, of which 17 prenatally and 8 postnatally. Molecular diagnosis proved superior, but the diagnosis of CT based on bioassay in 7 instances and by Western blot in 2 neonates shows that other methods remain indispensable. In the absence of systematic screening in pregnancy, maternal infection is often diagnosed late, or even only when fetal/neonatal infection is suspected. In such situations, use of a complex algorithm involving a combination of serological, biological, and molecular methods allows for prenatal and/or early postnatal diagnosis of CT, but lacks the preventive capacity provided by early maternal treatment.

Prenatal and Early Postnatal Diagnosis of Congenital Toxoplasmosis in a Setting With No Systematic Screening in Pregnancy

PubMed Central

Stajner, Tijana; Bobic, Branko; Klun, Ivana; Nikolic, Aleksandra; Srbljanovic, Jelena; Uzelac, Aleksandra; Rajnpreht, Irena; Djurkovic-Djakovic, Olgica

2016-01-01

Abstract To determine the risk of congenital toxoplasmosis (CT) and provide early (pre- or postnatal) identification of cases of CT in the absence of systematic screening in pregnancy. In the presented cross-sectional study, serological criteria were used to date Toxoplasma gondii infection versus conception in 80 pregnant women with fetal abnormalities or referred to as suspected of acute infection, and in 16 women after delivery of symptomatic neonates. A combination of serological, molecular (qPCR), and biological (bioassay) methods was used for prenatal and/or postnatal diagnosis of CT. Most (77.5%) pregnant women were examined in advanced pregnancy. Of all the examined seropositive women (n = 90), infection could not be ruled out to have occurred during pregnancy in 93.3%, of which the majority (69%) was dated to the periconceptual period. CT was diagnosed in 25 cases, of which 17 prenatally and 8 postnatally. Molecular diagnosis proved superior, but the diagnosis of CT based on bioassay in 7 instances and by Western blot in 2 neonates shows that other methods remain indispensable. In the absence of systematic screening in pregnancy, maternal infection is often diagnosed late, or even only when fetal/neonatal infection is suspected. In such situations, use of a complex algorithm involving a combination of serological, biological, and molecular methods allows for prenatal and/or early postnatal diagnosis of CT, but lacks the preventive capacity provided by early maternal treatment. PMID:26945416

[The place of neuropathy in the early diagnosis of Cockayne syndrome: Report on two siblings].

PubMed

Blin-Rochemaure, N; Allani-Essid, N; Carlier, R; Laugel, V; Quijano-Roy, S

2017-04-01

Two siblings affected with Cockayne syndrome (CS) are described: this diagnosis was suggested by the finding of a demyelinating neuropathy on electromyography in both children and consistent clinical features. CS is a rare genetic disorder with severe prognosis and a highly varied phenotype, making early diagnosis difficult. Taking into account these two cases and the literature, the current diagnosis criteria are insufficiently specific and appear late: the diagnosis may be delayed because multi-organ involvement and sensorial impairment suggests more frequent neurometabolic disorders. Neuroradiologic abnormalities are suggestive but may occur later. The finding of a demyelinating peripheral neuropathy seems to be a more useful marker to suspect this disorder in the presence of other clinical features. Further studies are required to better define the chronology of the symptoms, not only for adequate genetic counseling and eventual prenatal diagnosis, but also to assess the efficacy of future therapies. Copyright © 2017 Elsevier Masson SAS. All rights reserved.

Should chest examination be reinstated in the early diagnosis of chronic obstructive pulmonary disease?

PubMed Central

Oshaug, Katja; Halvorsen, Peder A; Melbye, Hasse

2013-01-01

Background Although proven to be associated with bronchial obstruction, chest signs are not listed among cues that should prompt spirometry in the early diagnosis of chronic obstructive pulmonary disease (COPD) in established guidelines. Aims We aimed to explore how chest findings add to respiratory symptoms and a history of smoking in the diagnosis of COPD. Methods In a cross-sectional study, patients aged 40 years or older, previously diagnosed with either asthma or COPD in primary care, answered questionnaires and underwent physical chest examination and spirometry. Results Among the 375 patients included, 39.7% had forced expiratory volume in 1 second/forced vital capacity <0.7. Hyperresonance to percussion was the strongest predictor of COPD, with a sensitivity of 20.8, a specificity of 97.8, and likelihood ratio of 9.5. In multivariate logistic regression, where pack-years, shortness of breath, and chest findings were among the explanatory variables, three physical chest findings were independent predictors of COPD. Hyperresonance to percussion yielded the highest odds ratio (OR = 6.7), followed by diminished breath sounds (OR = 5.0), and thirdly wheezes (OR = 2.3). These three chest signs also gave significant diagnostic information when added to shortness of breath and pack-years in receiver operating-characteristic curve analysis. Conclusion We found that chest signs may add to respiratory symptoms and a history of smoking in the diagnosis of COPD, and we conclude that chest signs should be reinstated as cues to early diagnosis of COPD in patients 40 years or older. PMID:23983462

Development of touch down-multiplex PCR for the diagnosis of toxoplasmosis.

PubMed

Hallur, V; Sehgal, R; Khurana, S

2015-01-01

The diagnosis of toxoplasmosis is challenging since conventional methods like culture and immunofluorescence are not universally available. Serology, which is used regularly might be negative during early phase of infection and in immunosuppressed patients or may remain positive for a long time. Several molecular tests have been used for the diagnosis of toxoplasmosis, but none of them have an internal control which would inform us regarding the presence of polymerase chain reaction (PCR) inhibitors thus, undermining the confidence of a laboratory physician. We designed a multiplex PCR containing primers targeting human beta globin gene which would act as internal control and two primers against the B1 gene and 5s gene which aid in sensitive detection of T. gondii. Multiplex PCR had a sensitivity of 83.3% and specificity of 100%. Multiplex PCR may provide a sensitive and specific tool for diagnosis of human toxoplasmosis.

Early diagnosis and treatment in a child with foodborne botulism.

PubMed

Proverbio, Maria Renata; Lamba, Marta; Rossi, Alessandro; Siani, Paolo

2016-06-01

Foodborne botulism is a neuroparalytic disease caused by ingestion of food contaminated with botulinum toxins. Despite rare the mortality rate is high if untreated. Diagnosis of botulism is still a challenge for clinician, due to the variability of clinical manifestations and disease course. We report on a child with type B botulin intoxication who was early diagnosed and treated underlining that clinical suspicion is crucial to start prompt treatment. An 11-year-old boy presented with bilateral ptosis and mydriasis, dry mouth, difficulty in swallowing, dysphonia, urine retention and constipation. Clear sensorium and no fever were observed. Immediately the suspicion of botulism was risen and botulinum antitoxin was administered. 3 days later serum and rectal samples tested positive for Clostridium botulinum. The patient completely recovered when discharged from hospital. Foodborne botulism is still possible in developed countries. The confirmation test of botulism requires some days. To avoid long delays between intoxication and diagnosis prompt clinical suspicion is thus crucial. The outcome depends on rapid implementation of appropriate management with intensive respiratory care and antitoxin administration. Copyright © 2015 Elsevier Ltd. All rights reserved.

HIV/AIDS among women in Havana, Cuba: 1986-2011.

PubMed

Oliva, Dinorah C; Viñas, Arturo L; Saavedra, Clarivel; Oliva, Maritza; González, Ciro; de la Torre, Caridad

2013-10-01

Women are being diagnosed with HIV infection in increasing numbers, and now account for 50% of cases worldwide. In Cuba, HIV is more frequent in men, but in recent years, a growing number of women have been diagnosed. Describe patterns of HIV among women in Havana, Cuba, 1986-2011. Descriptive study of women with HIV aged >14 years, residents of Havana, Cuba, who were diagnosed with HIV from 1 January 1986 through 31 December 2011. Information was obtained from the limited-access HIV/AIDS database of Cuba's Ministry of Public Health. Data were studied from all reported cases, a total of 1274 women. Variables selected were age at diagnosis, education, municipality of residence, screening group, year of HIV diagnosis, late presentation, AIDS-defining condition, year of diagnosis as AIDS case, vital status at the end of 2011, and year of death (if applicable). Incidence of HIV and AIDS, cumulative incidence by municipality of residence, and case fatality rates were calculated. Those aged 20-29 years were most affected by HIV. Almost half (46.7%) the women had completed middle school, and a further 35.4% had completed high school or middle-level technical studies. HIV incidence began to increase more steeply starting in 1998, as did AIDS incidence by year of diagnosis, though to a lesser extent. Central Havana and Old Havana municipalities had the highest cumulative incidence. Late presentation was seen in 7.4% of cases; mean age of those diagnosed late was 38.9 years. Wasting syndrome and Pneumocystis jirovecii pneumonia were the most frequent AIDS-defining conditions. Case fatality rates started to decline in 1998. HIV infection in women is occurring in a predominantly young, relatively well-educated population. Increasing rates of HIV and AIDS in the past decade are a warning sign of the possible expansion of HIV infection in women, even though mortality is declining.

The present and the future of AIDS and tuberculosis in Illinois.

PubMed Central

Coté, T R; Nelson, M R; Anderson, S P; Martin, R J

1990-01-01

The relation between the acquired immune deficiency syndrome (AIDS) and tuberculosis (TB) was examined by matching the Illinois AIDS and TB registries. The match group was examined and compared with patients with only one disease by race, method of human immunodeficiency virus (HIV) transmission, site of tuberculous disease, radiographic findings, and results of Mantoux tests. The time of TB diagnosis was centrally distributed around the time of AIDS diagnosis; from this, it was determined that 4.1 percent of AIDS patients develop active TB. Projections for future AIDS cases were made by fitting a polynomial model to historical data. These projections were then used to predict the future impact of AIDS-related TB upon state TB rates. The rise in TB rates call for special efforts to minimize this impact. PMID:2368856

(99m)Tc-MDP SPECT/CT as the one-stop imaging modality for the diagnosis of early setting of Kienbock's disease.

PubMed

Arora, S; Singh Dhull, V; Karunanithi, S; Kumar Parida, G; Sharma, A; Shamim, S A

2015-01-01

(99m)Tc-Methylene diphosphonate (MDP) triple phase bone scintigraphy (BS) has a role in early diagnosis of Kienbock's disease, especially when the X-ray is negative. Early diagnosis can result in prompt management of the patient since wrist pain in older individuals due to aging may go unnoticed or be due to other diagnoses with the production of greater damage and eventually a worse prognosis. Herein, we present a case report of a 29-year-old female with Kienbock's disease in whom the X-ray was negative and MRI incorrect. The (99m)Tc-MDP SPECT/CT BS helped the diagnosis of the disease in an early stage (stage 1) and had a clinical impact on the patient's management. Copyright © 2014 Elsevier España, S.L.U. and SEMNIM. All rights reserved.

[Early diagnosis and early treatment for liver cancer in Qidong: survival of patients and effectiveness of screening].

PubMed

Chen, J G; Zhang, Y H; Zhu, J; Lu, J H; Wang, J B; Sun, Y; Xue, X F; Lu, L L; Chen, Y S; Wu, Y; Jiang, X P; Ding, L L; Zhang, Q N; Zhu, Y R

2017-12-23

Objective: To evaluate the patients' survival and effectiveness of the live cancer screening for population at high risk for liver cancer in Qidong. Methods: According to the Expert Scheme proposed the Expert Committee of Early Detection and Early Treatment, China Cancer Foundation, diagnostical screening by using combined methods of alpha-fetoprotein and B ultrasound monitoring were carried out biannually in individuals with positive HBsAg who were screened from Qidong area. The evaluation indices of the effectiveness are task completion rate of screening, detection rate of liver cancer, early diagnosis rate, and treatment rate. The deadline of the follow-up for the surviving outcome was March 31, 2016. The life-table method was used to calculate the observed survival, and to make comparison and significant tests between survival rates in Group A (those found via repeated periodic screening) and Group B (those diagnosed without periodic screening). Results: Since 2007, 38 016 target population have been screened, and 3 703(9.74%) individuals with positive HBsAg were found. Except for 29 patients with liver cancer at the initial screening, 3 674 persons in the cohort were followed up; 268 patients with liver cancer were detected from the 33 199 person-times screening, with an annual detection rate of 1.61%. Of them, 186 patients were found in Group A(1.12%), in which 149 patients were the early cases, with an early detection rate of 80.11%; 167 out of 186(89.78%) patients received treatment after diagnosis. The incidence of liver cancer in this HBsAg (+ ) cohort of 25 452 person-years was 1 052.96 per 100 000 annually, 187 cases in males(1 488.45/100 000)and 81 cases in females(628.46/100 000). The 1-, 3-, 5-, and 8-year survival of all patients with liver cancer were 64.55%, 40.50%, 32.54%, and 19.65%, respectively. The 1-, 3-, 5-, and 8-year survival rates were 77.16%, 49.04%, 38.53%, and 24.25% in Group A, and were 36.25%, 21.21%, 21.21%, and 0% in Group B

A tumor specific antibody to aid breast cancer screening in women with dense breast tissue

PubMed Central

Roy, Lopamudra Das; Dillon, Lloye M.; Zhou, Ru; Moore, Laura J.; Livasy, Chad; El-Khoury, Joe M.; Puri, Rahul; Mukherjee, Pinku

2017-01-01

Screening for breast cancer has predominantly been done using mammography. Unfortunately, mammograms miss 50% cancers in women with dense breast tissue. Multi-modal screenings offer the best chance of enhancing breast cancer screening effectiveness. We evaluated the use of TAB004, an antibody that recognizes the tumor form of the glycoprotein MUC1 (tMUC1), to aid early detection of breast cancer. Our experimental approach was to follow tMUC1 from the tissue into circulation. We found that 95% of human breast cancer tissues across all subtypes stained positive for TAB004. In breast cancer cell lines, we showed that the amount of tMUC1 released from tumor cells is proportional to the cell's tMUC1 expression level. Finally, we showed that TAB004 can be used to assess circulating tMUC1 levels, which when monitored in the context of cancer immunoediting, can aid earlier diagnosis of breast cancer regardless of breast tissue density. In a blinded pilot study with banked serial samples, tMUC1 levels increased significantly up to 2 years before diagnosis. Inclusion of tMUC1 monitoring as part of a multi-modal screening strategy may lead to earlier stage diagnosis of women whose cancers are missed by mammography. PMID:28680538

How to use pen and paper tasks to aid tremor diagnosis in the clinic

PubMed Central

Alty, Jane; Cosgrove, Jeremy; Thorpe, Deborah; Kempster, Peter

2017-01-01

When a patient presents with tremor, it can be useful to perform a few simple pen and paper tests. In this article, we explain how to maximise the value of handwriting and of drawing Archimedes spirals and straight lines as clinical assessments. These tasks take a matter of seconds to complete but provide a wealth of information that supplements the standard physical examination. They aid the diagnosis of a tremor disorder and can contribute to its longitudinal monitoring. Watching the patient’s upper limb while they write and draw may reveal abnormalities such as bradykinesia, dystonic posturing and distractibility. The finished script and drawings can then be evaluated for frequency, amplitude, direction and symmetry of oscillatory pen movements and for overall scale of penmanship. Essential, dystonic, functional and parkinsonian tremor each has a characteristic pattern of abnormality on these pen and paper tests. PMID:28844041

Emerging issues with diagnosis and management of fungal infections in solid organ transplant recipients.

PubMed

Farmakiotis, D; Kontoyiannis, D P

2015-05-01

Invasive fungal infections (IFIs) are being increasingly recognized in solid organ transplant (SOT) recipients, and delayed diagnosis can lead to graft loss and death. Therefore, there is a low threshold for prophylaxis and early initiation of empiric antifungal treatment, in this patient population. Meanwhile, the increasing consumption of antifungals is associated with high cost, medication toxicities and the emergence of resistance in Candida species, all of which call for rational use of antifungal agents. The implementation of fungal biomarkers, molecular diagnostic methods and direct detection of volatile fungal metabolites in breath samples could lead to faster diagnosis, early appropriate treatment and improved clinical outcomes, but also aid in the de-escalation of antifungal treatment. Those novel diagnostic modalities need to be validated specifically in SOT recipients. Infectious diseases consultation can contribute to optimization of care through prompt initiation and appropriate modification of antifungal treatment, management of medication toxicities and drug-drug interactions, as well as source control. In this review, we conceptually summarize recent advances in the diagnosis and management of IFI in SOT recipients, and highlight the importance of early diagnostic tools and good stewardship of antifungal drugs. © 2015 The American Society of Transplantation and the American Society of Transplant Surgeons.

[The significance of a 4,183 Da peptide of dermcidin protein in the early diagnosis and differential diagnosis of acute coronary syndrome].

PubMed

Kai, Feng; Lifeng, Liu; Haijing, Song; Xianhua, Liu; Hu, Xia

2015-12-01

To investigate the predictive value of 4,183 Da peptide of dermcidin protein in the early diagnosis and differential diagnosis of ischemic heart disease. A prospective controlled study was conducted. Serum samples were drawn from 161 patients with acute coronary'syndrome [ACS, including 46 patients with unstable angina (UA), 23 with acute non-ST elevation myocardial infarction, and 92 with acute ST segment elevation myocardial infarction], 111 subjects for routine physical examination, including 45 patients with hypertension history, 42 with coronary heart disease, 22 with diabetes, and 54 patients with non-ACS (including pulmonary embolism, aortic dissection, aneurysm, arrhythmia, myocarditis, coronary myocardial bridge, pleurisy, pneumothorax pneumomediastinum, rib fracture, reflux esophagitis, peptic ulcer, and pancreatitis) to serve as controls. 4 183 Da peptide of dermcidin protein was assessed with matrix assisted laser desorption ionization time-of-flight mass spectrometry (MALDI-TOF-MS) technology, and myeloperoxidase [MPO, determined by point-of-care testing (POCT) and enzyme linked immunosorbent assay (ELISA), respectively], high sensitive C-reactive protein (hs-CRP), heart type fatty acid binding protein (H-FABP), myoglobin (MYO), cardiac troponin I (cTnI), and MB isoenzyme of creatine kinase (CK-MB) were quantitated with biochemical analysis. The power of the biomarkers above for early diagnosis and differential diagnosis for ischemic heart disease were judged by comparison of their sensitivity and specificity. (1) It was showed by one-way ANOVA that 4,183 Da peptide was higher in ACS group than that in control group (relative abundance: 22.05 ± 16.97 vs. 15.52 ± 14.09, P = 0.001), but no difference was found between ACS group and non-ACS group (relative abundance: 22.05 ± 16.97 vs. 19.99 ± 17.63, P = 0.416). (2) The specificity and sensitivity of the 4 183 Da polypeptide and MPO for predicting ACS and UA were compared with the receiver operating

Genetic Testing Confirmed the Early Diagnosis of X-Linked Hypophosphatemic Rickets in a 7-Month-Old Infant

PubMed Central

Poon, Kok Siong; Sng, Andrew Anjian; Ho, Cindy Weili; Koay, Evelyn Siew-Chuan

2015-01-01

Loss-of-function mutations in the phosphate regulating gene with homologies to endopeptidases on the X-chromosome (PHEX) have been causally associated with X-linked hypophosphatemic rickets (XLHR). The early diagnosis of XLHR in infants is challenging when it is based solely on clinical features and biochemical findings. We report a 7-month-old boy with a family history of hypophosphatemic rickets., who demonstrated early clinical evidence of rickets, although serial biochemical findings could not definitively confirm rickets. A sequencing assay targeting the PHEX gene was first performed on the mother’s DNA to screen for mutations in the 5′UTR, 22 coding exons, and the exon-intron junctions. Targeted mutation analysis and mRNA studies were subsequently performed on the boys’ DNA to investigate the pathogenicity of the identified mutation. Genetic screening of the PHEX gene revealed a novel mutation, c.1080-2A>C, at the splice acceptor site in intron 9. The detection of an aberrant mRNA transcript with skipped (loss of) exon 10 establishes its pathogenicity and confirms the diagnosis of XLHR in this infant. Genetic testing of the PHEX gene resulted in early diagnosis of XLHR, thus enabling initiation of therapy and prevention of progressive rachitic changes in the infant. PMID:26904698

FNAC Aided Diagnosis and Categorization of Hepatoblastoma:: A Report of Three Cases.

PubMed

Bera, Goutam; Das, Ram Narayan; Islam, Nelofar; Roy, Paromita; Mishra, Prafulla Kumar; Datta, Chhanda; Chaudhuri, Manoj Kumar; Chatterjee, Uttara

2017-01-01

Hepatoblastoma is the most common primary malignant hepatic tumour of infancy and early childhood. Histologically hepatoblastomas are categorized into pure epithelial and mixed epithelial-mesenchymal types and epithelial type is further subcategorized into pure fetal type, fetal and embryonal type, pure embryonal, and small cell types. This categorization has been shown to have prognostic and therapeutic implication. Fine needle aspiration cytology (FNAC) is useful in pre-operative diagnosis and categorization in most cases of hepatoblastomas. Periodic acid-Schiff (PAS) stain can be helpful to differentiate fetal subtype from embryonal subtype of hepatoblastoma. Here we describe three cases of hepatoblastomas diagnosed and categorized on cytology with subsequent confirmation on histological examination. Diagn. Cytopathol. 2017;45:77-82. © 2016 Wiley Periodicals, Inc. © 2016 Wiley Periodicals, Inc.

Cancer survival in people with AIDS: A population-based study from São Paulo, Brazil.

PubMed

Tanaka, Luana F; Latorre, Maria do Rosário D O; Gutierrez, Eliana B; Curado, Maria P; Dal Maso, Luigino; Herbinger, Karl-Heinz; Froeschl, Guenter; Heumann, Christian

2018-02-01

Cancer survival among people with AIDS (PWA) has been described in developed countries, but there is lack of data from developing countries. The aim of this study was to evaluate survival after cancer diagnosis in PWA and compare it with people without AIDS (non-PWA) in São Paulo, Brazil. A probabilistic record linkage was carried out between the databases of the Population-based Cancer Registry of São Paulo (PBCR-SP) and the AIDS registry of SP (SINAN) to identify PWA who developed cancer. For comparison, non-PWA were frequency matched from the PBCR-SP by cancer site/type, sex, age, and period. Hazard ratio (HR) stratified by matching variables was estimated using a Cox proportional hazards model. A total of 1,294 PWA (20 patients with two primary site tumors) were included in the site/type-specific analyses. AIDS-defining cancers (ADC) comprised 51.9% of cases assessed. The all-cancer 5-year overall survival in PWA was 49.4% versus 72.7% in non-PWA (HR = 2.64; 95%CI = 2.39-2.91). Survival was impaired in PWA for both ADC (HR = 2.93; 95%CI = 2.49-3.45) and non-ADC (HR = 2.51; 95%CI = 2.21-2.84), including bladder (HR = 8.11; 95% CI = 2.09-31.52), lung (HR = 2.93; 95%CI = 1.97-4.36) and anal cancer (HR = 2.53; 95%CI = 1.63-3.94). These disparities were seen mainly in the first year after cancer diagnosis. The overall survival was significantly lower in PWA in comparison with non-PWA in São Paulo, as seen in high-income countries. Efforts to enhance early diagnosis and ensure proper cancer treatment in PWA should be emphasized. © 2017 UICC.

Low Dopamine Function in Attention Deficit/Hyperactivity Disorder: Should Genotyping Signify Early Diagnosis in Children?

PubMed Central

Gold, Mark S.; Blum, Kenneth; Oscar-Berman, Marlene; Braverman, Eric R.

2014-01-01

Attention deficit/hyperactivity disorder (ADHD) is present in 8% to 12% of children, and 4% of adults worldwide. Children with ADHD can have learning impairments, poor self-esteem, social dysfunction, and an increased risk of substance abuse, including cigarette smoking. Overall, the rate of treatment with medication for patients with ADHD has been increasing since 2008, with > 2 million children now being treated with stimulants. The rise of adolescent prescription ADHD medication abuse has occurred along with a concomitant increase of stimulant medication availability. Of adults presenting with a substance use disorder (SUD), 20% to 30% have concurrent ADHD, and 20% to 40% of adults with ADHD have a history of SUD. Following a brief review of the etiology of ADHD, its diagnosis and treatment, we focus on the benefits of early and appropriate testing for a predisposition to ADHD. We suggest that by genotyping patients for a number of known, associated dopaminergic polymorphisms, especially at an early age, misdiagnoses and/or over-diagnosis can be reduced. Ethical and legal issues of early genotyping are considered. As many as 30% of individuals with ADHD are estimated to either have secondary side-effects or are not responsive to stimulant medication. We also consider the benefits of non-stimulant medication and alternative treatment modalities, which include diet, herbal medications, iron supplementation, and neurofeedback. With the goals of improving treatment of patients with ADHD and SUD prevention, we encourage further work in both genetic diagnosis and novel treatment approaches. PMID:24393762

Usability evaluation and adaptation of the e-health Personal Patient Profile-Prostate decision aid for Spanish-speaking Latino men.

PubMed

Berry, Donna L; Halpenny, Barbara; Bosco, Jaclyn L F; Bruyere, John; Sanda, Martin G

2015-07-24

The Personal Patient Profile-Prostate (P3P), a web-based decision aid, was demonstrated to reduce decisional conflict in English-speaking men with localized prostate cancer early after initial diagnosis. The purpose of this study was to explore and enhance usability and cultural appropriateness of a Spanish P3P by Latino men with a diagnosis of prostate cancer. P3P was translated to Spanish and back-translated by three native Spanish-speaking translators working independently. Spanish-speaking Latino men with a diagnosis of localized prostate cancer, who had made treatment decisions in the past 24 months, were recruited from two urban clinical care sites. Individual cognitive interviews were conducted by two bilingual research assistants as each participant used the Spanish P3P. Notes of user behavior, feedback, and answers to direct questions about comprehension, usability and perceived usefulness were analyzed and categorized. Seven participants with a range of education levels identified 25 unique usability issues in navigation, content comprehension and completeness, sociocultural appropriateness, and methodology. Revisions were prioritized to refine the usability and cultural and linguistic appropriateness of the decision aid. Usability issues were discovered that are potential barriers to effective decision support. Successful use of decision aids requires adaptation and testing beyond translation. Our findings led to revisions further refining the usability and linguistic and cultural appropriateness of Spanish P3P.

Epidemiological overview of HIV/AIDS in pregnant women from a state of northeastern Brazil.

PubMed

Silva, Claúdia Mendes da; Alves, Regina de Souza; Santos, Tâmyssa Simões Dos; Bragagnollo, Gabriela Rodrigues; Tavares, Clodis Maria; Santos, Amuzza Aylla Pereira Dos

2018-01-01

To learn the epidemiological characteristics of HIV infection in pregnant women. Descriptive study with quantitative approach. The study population was composed of pregnant women with HIV/AIDS residing in the state of Alagoas. Data were organized into variables and analyzed according to the measures of dispersion parameter relevant to the arithmetic mean and standard deviation (X ± S). Between 2007 and 2015, 773 cases of HIV/AIDS were recorded in pregnant women in Alagoas. The studied variables identified that most of these pregnant women were young, had low levels of education and faced socioeconomic vulnerability. It is necessary to include actions aimed at increasing the attention paid to women, once the assurance of full care and early diagnosis of HIV are important strategies to promote adequate treatment adherence and reduce the vertical transmission.

[Establish proposal of diagnosis and treatment of traditional Chinese medicine in AIDS patients with recurrent oral ulcerations].

PubMed

Pan, Ju-Hua; Huang, Shi-Jing; Zheng, Jun; Wu, Wei; Xue, Liu-Hua

2013-08-01

The pathogenesis of acquired immune deficiency syndrome-associated recurrent oral ulcerations (AIDS-ROU) remained obscure and these was no specific treatment for it. Syndrome differentiation in traditional Chinese medicine (TCM) focus on integral regulation and has an advantage of the disease that etiology and pathogenesis remain obscure. A draft of Chinese medicine diagnosis and treatment standard procedure for AIDS-ROU was established by literature retrieval and peer review. Two questionnaires were carried out to investigate the confirmation and advice of in-group specialist to key points of the draft including diagnosis, treatment and nursing. Then the procedures were revised accordingly. The preliminary results showed the recovery rate of complete questionnaires in the 1st survey was 96%. Specialists confirmed more on outline, case history and physical examinations, syndrome differentiation of hyperactivity of fire due to Yin deficiency syndrome (HFYDS), treatment of heat accumulated in heart and spleen syndrome (HAHSS) and HFYDS, treatment of western medicine and nursing. They held different opinions on incidence, treatment of deficiency of spleen-QI and stomach-QI syndrome (DSSS) and criterion of therapeutical evaluation. Cronbach coefficient alpha (CCA) was 0.998 and split-half reliability R was 0.91. Recovery rate of complete questionnaires in 2nd survey was 100%. Specialists confirmed more on outline, etiology and pathogenesis, case history and physical examination, auxiliary examination, diagnostic criteria, syndrome differentiation and treatment of HAHSS and HFYDS. They held different opinions on syndrome differentiation and treatment of intermingled cold and heat syndrome and DSSS, nursing and the other therapies. CCA was 0.428 and split-half reliability R was 0.96. Coefficient of variations of the 2nd survey were less than those of the 1st survey, which mean coordination was improved. Each single item in two surveys contributed less difference in

Optimized smith waterman processor design for breast cancer early diagnosis

NASA Astrophysics Data System (ADS)

Nurdin, D. S.; Isa, M. N.; Ismail, R. C.; Ahmad, M. I.

2017-09-01

This paper presents an optimized design of Processing Element (PE) of Systolic Array (SA) which implements affine gap penalty Smith Waterman (SW) algorithm on the Xilinx Virtex-6 XC6VLX75T Field Programmable Gate Array (FPGA) for Deoxyribonucleic Acid (DNA) sequence alignment. The PE optimization aims to reduce PE logic resources to increase number of PEs in FPGA for higher degree of parallelism during alignment matrix computations. This is useful for aligning long DNA-based disease sequence such as Breast Cancer (BC) for early diagnosis. The optimized PE architecture has the smallest PE area with 15 slices in a PE and 776 PEs implemented in the Virtex - 6 FPGA.

Development of an instrument to measure internalized stigma in those with HIV/AIDS.

PubMed

Phillips, Kenneth D; Moneyham, Linda; Tavakoli, Abbas

2011-01-01

Stigma has grave consequences for persons living with HIV/AIDS. Stigma hampers prevention of HIV transmission to sexual partners and to unborn babies, diagnosis, and early treatment, and negatively affects mental and physical health, quality of life, and life satisfaction. Internalized stigma of HIV/AIDS may have even more severe consequences than perceived or enacted stigma. The purpose of this study was to develop an instrument to measure internalized stigma in those with HIV/AIDS. Data were drawn from the Rural Women's Health Project. Research assistants administered structured interviews at baseline, 3 months, and 6 months. Instruments used in these analyses included a demographic data form, the Centers for Epidemiological Studies Depression Scale (CES-D), the Perceived Stigma Scale (PSS), and the Internalized Stigma of AIDS Tool (ISAT). Exploratory factor analysis confirmed that the ten items of the ISAT measure a single factor that explains 88% of the variance in the construct. Internal consistency was demonstrated by a Cronbach's alpha of .91 (Time 1), .92 (Time 2), and .92 (Time 3). Convergent validity was supported with significant positive correlations with the CES-D (rho = 0.33, p < 0.0001) and the PSS (rho = 0.56, < 0.0001). The Internalized Stigma of AIDS Tool appears to be a reliable and valid instrument to measure internalization of the stigma of HIV/AIDS. It may be of value in research and clinical assessment.

The Correlation between Homosexuality and an AIDS Diagnosis: Is It Perceived or Real?

ERIC Educational Resources Information Center

Triplet, Rodney G.; And Others

Prior research on observer perceptions of Acquired Immune Deficiency Syndrome (AIDS) patients has concluded that there is a strong tendency to assume that homosexuals are patients of AIDS while heterosexuals are patients of anything but AIDS. This study sought to determine if there was a greater tendency to diagnose AIDS among female homosexuals…

Computer-Aided Diagnosis of Different Rotator Cuff Lesions Using Shoulder Musculoskeletal Ultrasound.

PubMed

Chang, Ruey-Feng; Lee, Chung-Chien; Lo, Chung-Ming

2016-09-01

The lifetime prevalence of shoulder pain approaches 70%, which is mostly attributable to rotator cuff lesions such as inflammation, calcific tendinitis and tears. On clinical examination, shoulder ultrasound is recommended for the detection of lesions. However, there exists inter-operator variability in diagnostic accuracy because of differences in the experience and expertise of operators. In this study, a computer-aided diagnosis (CAD) system was developed to assist ultrasound operators in diagnosing rotator cuff lesions and to improve the practicality of ultrasound examination. The collected cases included 43 cases of inflammation, 30 cases of calcific tendinitis and 26 tears. For each case, the lesion area and texture features were extracted from the entire lesions and combined in a multinomial logistic regression classifier for lesion classification. The proposed CAD achieved an accuracy of 87.9%. The individual accuracy of this CAD system was 88.4% for inflammation, 83.3% for calcific tendinitis and 92.3% for tears. Cohen's k was 0.798. On the basis of its diagnostic performance, clinical use of this CAD technique has promise. Copyright © 2016 World Federation for Ultrasound in Medicine & Biology. Published by Elsevier Inc. All rights reserved.

A ROC-based feature selection method for computer-aided detection and diagnosis

NASA Astrophysics Data System (ADS)

Wang, Songyuan; Zhang, Guopeng; Liao, Qimei; Zhang, Junying; Jiao, Chun; Lu, Hongbing

2014-03-01

Image-based computer-aided detection and diagnosis (CAD) has been a very active research topic aiming to assist physicians to detect lesions and distinguish them from benign to malignant. However, the datasets fed into a classifier usually suffer from small number of samples, as well as significantly less samples available in one class (have a disease) than the other, resulting in the classifier's suboptimal performance. How to identifying the most characterizing features of the observed data for lesion detection is critical to improve the sensitivity and minimize false positives of a CAD system. In this study, we propose a novel feature selection method mR-FAST that combines the minimal-redundancymaximal relevance (mRMR) framework with a selection metric FAST (feature assessment by sliding thresholds) based on the area under a ROC curve (AUC) generated on optimal simple linear discriminants. With three feature datasets extracted from CAD systems for colon polyps and bladder cancer, we show that the space of candidate features selected by mR-FAST is more characterizing for lesion detection with higher AUC, enabling to find a compact subset of superior features at low cost.

Computer-aided diagnosis of mammographic masses using geometric verification-based image retrieval

NASA Astrophysics Data System (ADS)

Li, Qingliang; Shi, Weili; Yang, Huamin; Zhang, Huimao; Li, Guoxin; Chen, Tao; Mori, Kensaku; Jiang, Zhengang

2017-03-01

Computer-Aided Diagnosis of masses in mammograms is an important indicator of breast cancer. The use of retrieval systems in breast examination is increasing gradually. In this respect, the method of exploiting the vocabulary tree framework and the inverted file in the mammographic masse retrieval have been proved high accuracy and excellent scalability. However it just considered the features in each image as a visual word and had ignored the spatial configurations of features. It greatly affect the retrieval performance. To overcome this drawback, we introduce the geometric verification method to retrieval in mammographic masses. First of all, we obtain corresponding match features based on the vocabulary tree framework and the inverted file. After that, we grasps the main point of local similarity characteristic of deformations in the local regions by constructing the circle regions of corresponding pairs. Meanwhile we segment the circle to express the geometric relationship of local matches in the area and generate the spatial encoding strictly. Finally we judge whether the matched features are correct or not, based on verifying the all spatial encoding are whether satisfied the geometric consistency. Experiments show the promising results of our approach.

Initial development of a computer-aided diagnosis tool for solitary pulmonary nodules

NASA Astrophysics Data System (ADS)

Catarious, David M., Jr.; Baydush, Alan H.; Floyd, Carey E., Jr.

2001-07-01

This paper describes the development of a computer-aided diagnosis (CAD) tool for solitary pulmonary nodules. This CAD tool is built upon physically meaningful features that were selected because of their relevance to shape and texture. These features included a modified version of the Hotelling statistic (HS), a channelized HS, three measures of fractal properties, two measures of spicularity, and three manually measured shape features. These features were measured from a difficult database consisting of 237 regions of interest (ROIs) extracted from digitized chest radiographs. The center of each 256x256 pixel ROI contained a suspicious lesion which was sent to follow-up by a radiologist and whose nature was later clinically determined. Linear discriminant analysis (LDA) was used to search the feature space via sequential forward search using percentage correct as the performance metric. An optimized feature subset, selected for the highest accuracy, was then fed into a three layer artificial neural network (ANN). The ANN's performance was assessed by receiver operating characteristic (ROC) analysis. A leave-one-out testing/training methodology was employed for the ROC analysis. The performance of this system is competitive with that of three radiologists on the same database.

Early diagnosis of asthma in young children by using non-invasive biomarkers of airway inflammation and early lung function measurements: study protocol of a case-control study

PubMed Central

van de Kant, Kim DG; Klaassen, Ester MM; Jöbsis, Quirijn; Nijhuis, Annedien J; van Schayck, Onno CP; Dompeling, Edward

2009-01-01

Background Asthma is the most common chronic disease in childhood, characterized by chronic airway inflammation. There are problems with the diagnosis of asthma in young children since the majority of the children with recurrent asthma-like symptoms is symptom free at 6 years, and does not have asthma. With the conventional diagnostic tools it is not possible to differentiate between preschool children with transient symptoms and children with asthma. The analysis of biomarkers of airway inflammation in exhaled breath is a non-invasive and promising technique to diagnose asthma and monitor inflammation in young children. Moreover, relatively new lung function tests (airway resistance using the interrupter technique) have become available for young children. The primary objective of the ADEM study (Asthma DEtection and Monitoring study), is to develop a non-invasive instrument for an early asthma diagnosis in young children, using exhaled inflammatory markers and early lung function measurements. In addition, aetiological factors, including gene polymorphisms and gene expression profiles, in relation to the development of asthma are studied. Methods/design A prospective case-control study is started in 200 children with recurrent respiratory symptoms and 50 control subjects without respiratory symptoms. At 6 years, a definite diagnosis of asthma is made (primary outcome measure) on basis of lung function assessments and current respiratory symptoms ('golden standard'). From inclusion until the definite asthma diagnosis, repeated measurements of lung function tests and inflammatory markers in exhaled breath (condensate), blood and faeces are performed. The study is registered and ethically approved. Discussion This article describes the study protocol of the ADEM study. The new diagnostic techniques applied in this study could make an early diagnosis of asthma possible. An early and reliable asthma diagnosis at 2–3 years will have consequences for the management of

Implications of Mobility Impairment on the Diagnosis and Treatment of Breast Cancer

PubMed Central

Park, Elyse R.; Kilbridge, Kerry L.

2011-01-01

Abstract Background Among women with chronic, preexisting mobility impairments, we sought to explore how their mobility difficulties affected the diagnosis and treatment of early-stage breast cancer Methods This is a qualitative analysis of transcripts from in-depth in-person or telephone interviews with 20 English-speaking women who had early-stage breast cancer, were <60 years of age, and had chronic difficulty walking or used wheeled mobility aids at the time of their breast cancer diagnoses Results Nine women were disabled by polio as children or had postpolio syndrome, 3 had cerebral palsy, 3 had spinal cord injury, and 5 had other conditions. Most women reported difficulty obtaining mammograms, primarily because of inaccessible equipment, positioning problems, and difficulties with uncontrollable movements. Many women made decisions about surgical approach and chemotherapy by explicitly considering how various therapies would affect their arms, which are essential to their mobility (they use ambulation aids, self-propel manual wheelchairs, or otherwise rely on their arms for mobility or safety). Managing at home after surgery posed major mobility challenges, especially for women who lived alone. Several women reported feeling they suffered more chemotherapy side effects than do women without mobility problems. Weight gains with endocrine therapy compromised the mobility of several women. Conclusions Increasing numbers of American women are living with mobility disabilities and entering age ranges with increased risks of breast cancer. Mobility impairments can affect women at every point during early-stage breast cancer diagnosis, therapy, and recovery. Clinicians must consider women's mobility functioning in making therapeutic recommendations to women with impaired mobility who develop breast cancer. PMID:21034276

The Perceived Effect of HIV/AIDS on Other Identities

ERIC Educational Resources Information Center

Baumgartner, Lisa M; Niemi, Eric

2013-01-01

The onset of a chronic disease influences other roles or identities. For example, an HIV or AIDS diagnosis can affect a person's work identity (Bedell, 1997). In this article, we explored how living with HIV/AIDS shapes other identities. Thirty-six individuals living with HIV/AIDS (PLWHAs) participated in semi-structured interviews. Participants'…

Application of multiplex nested methylated specific PCR in early diagnosis of epithelial ovarian cancer.

PubMed

Wang, Bi; Yu, Lei; Yang, Guo-Zhen; Luo, Xin; Huang, Lin

2015-01-01

To explore the application of multiplex nested methylated specific polymerase chain reaction (PCR) in the early diagnosis of epithelial ovarian carcinoma (EOC). Serum and fresh tissue samples were collected from 114 EOC patients. RUNX3, TFPI2 and OPCML served as target genes. Methylation levels of tissues were assessed by multiplex nested methylated specific PCR, the results being compared with those for carcinoma antigen 125 (CA125). The serum free deoxyribose nucleic acid (DNA) methylation spectrum of EOC patients was completely contained in the DNA spectrum of cancer tissues, providing an accurate reflection of tumor DNA methylation conditions. Serum levels of CA125 and free DNA methylation in the EOC group were evidently higher than those in benign lesion and control groups (p<0.05). Patients with early EOC had markedly lower serum CA125 than those with advanced EOC (p<0.05), but there was no significant difference in free DNA methylation (p>0.05). The sensitivity, specificity and positive predicative value (PPV) of multiplex nested methylated specific PCR were significantly higher for detection of all patients and those with early EOC than those for CA125 (p<0.05). In the detection of patients with advanced EOC, the PPV of CA125 detection was obviously lower than that of multiplex nested methylated specific PCR (p>0.05), but there was no significant difference in sensitivity (p>0.05). Serum free DNA methylation can be used as a biological marker for EOC and multiplex nested methylated specific PCR should be considered for early diagnosis since it can accurately determine tumor methylation conditions.

Identifying autism early: The Toddlers at Risk of Autism Clinic model.

PubMed

Davis, Tessa; Clifton, Deirdre; Papadopoulos, Con

2015-07-01

This paper describes the Toddlers at Risk of Autism Clinic (TRAC), which utilises the Social Attention and Communication Study (SACS) and/or Autism Detection in Early Childhood (ADEC) play-based assessments to facilitate the early diagnosis of autism. A retrospective audit was conducted of all 42 children assessed over a 3-year period in the TRAC. A semi-structured interview and play-based assessment (SACS and ADEC) were used to aid experienced clinicians in diagnosing autism. Intervention was recommended, and families were routinely followed up. Analysis was conducted on the tools used, the outcomes of assessment, diagnosis and stability of diagnosis on follow-up. During this period, 35 boys and 7 girls were assessed, with a mean age of 25 months. The average waiting time for clinic was 11.6 weeks. Twenty-five patients were diagnosed with autism; 90.5% of toddlers given an initial diagnosis retained that diagnosis at follow-up. Out of the 17 children who were not diagnosed with autism in the TRAC, one child was later diagnosed with autism. Experienced clinicians can use the SACS and/or ADEC to assist with a Diagnostic and Statistical Manual diagnosis of autism in toddlers. © 2015 The Authors. Journal of Paediatrics and Child Health © 2015 Paediatrics and Child Health Division (Royal Australasian College of Physicians).

Missed opportunities for earlier diagnosis of HIV in patients who presented with advanced HIV disease: a retrospective cohort study

PubMed Central

Levy, Itzchak; Maor, Yasmin; Mahroum, Naim; Olmer, Liraz; Wieder, Anat; Litchevski, Vladislav; Mor, Orna; Rahav, Galia

2016-01-01

Objective To quantify and characterise missed opportunities for earlier HIV diagnosis in patients diagnosed with advanced HIV. Design A retrospective observational cohort study. Setting A central tertiary medical centre in Israel. Measures The proportion of patients with advanced HIV, the proportion of missed opportunities to diagnose them earlier, and the rate of clinical indicator diseases (CIDs) in those patients. Results Between 2010 and 2015, 356 patients were diagnosed with HIV, 118 (33.4%) were diagnosed late, 57 (16%) with advanced HIV disease. Old age (OR=1.45 (95% CI 1.16 to 1.74)) and being heterosexual (OR=2.65 (95% CI 1.21 to 5.78)) were significant risk factors for being diagnosed late. All patients with advanced disease had at least one CID that did not lead to an HIV test in the 5 years prior to AIDS diagnosis. The median time between CID and AIDS diagnosis was 24 months (IQR 10–30). 60% of CIDs were missed by a general practitioner and 40% by a specialist. Conclusions Missed opportunities to early diagnosis of HIV occur in primary and secondary care. Lack of national guidelines, lack of knowledge regarding CIDs and communication barriers with patients may contribute to a late diagnosis of HIV. PMID:28186940

A systematic review of barriers to early presentation and diagnosis with breast cancer among black women

PubMed Central

Jones, Claire EL; Maben, Jill; Jack, Ruth H; Davies, Elizabeth A; Forbes, Lindsay JL; Lucas, Grace; Ream, Emma

2014-01-01

Objective To explore barriers to early presentation and diagnosis with breast cancer among black women. Design Systematic review. Methods We searched multiple bibliographic databases (January 1991–February 2013) for primary research, published in English, conducted in developed countries and investigating barriers to early presentation and diagnosis with symptomatic breast cancer among black women (≥18 years). Studies were excluded if they did not report separate findings by ethnic group or gender, only reported differences in time to presentation/diagnosis, or reported on interventions and barriers to cancer screening. We followed Cochrane and PRISMA guidance to identify relevant research. Findings were integrated through thematic synthesis. Designs of quantitative studies made meta-analysis impossible. Results We identified 18 studies (6183 participants). Delay was multifactorial, individual and complex. Factors contributing to delay included: poor symptom and risk factor knowledge; fear of detecting breast abnormality; fear of cancer treatments; fear of partner abandonment; embarrassment disclosing symptoms to healthcare professionals; taboo and stigmatism. Presentation appears quicker following disclosure. Influence of fatalism and religiosity on delay is unclear from evidence in these studies. We compared older studies (≥10 years) with newer ones (<10 years) to determine changes over time. In older studies, delaying factors included: inaccessibility of healthcare services; competing priorities and concerns about partner abandonment. Partner abandonment was studied in older studies but not in newer ones. Comparisons of healthy women and cancer populations revealed differences between how people perceive they would behave, and actually behave, on finding breast abnormality. Conclusions Strategies to improve early presentation and diagnosis with breast cancer among black women need to address symptom recognition and interpretation of risk, as well as

Computer-Aided Diagnosis Based on Convolutional Neural Network System for Colorectal Polyp Classification: Preliminary Experience.

PubMed

Komeda, Yoriaki; Handa, Hisashi; Watanabe, Tomohiro; Nomura, Takanobu; Kitahashi, Misaki; Sakurai, Toshiharu; Okamoto, Ayana; Minami, Tomohiro; Kono, Masashi; Arizumi, Tadaaki; Takenaka, Mamoru; Hagiwara, Satoru; Matsui, Shigenaga; Nishida, Naoshi; Kashida, Hiroshi; Kudo, Masatoshi

2017-01-01

Computer-aided diagnosis (CAD) is becoming a next-generation tool for the diagnosis of human disease. CAD for colon polyps has been suggested as a particularly useful tool for trainee colonoscopists, as the use of a CAD system avoids the complications associated with endoscopic resections. In addition to conventional CAD, a convolutional neural network (CNN) system utilizing artificial intelligence (AI) has been developing rapidly over the past 5 years. We attempted to generate a unique CNN-CAD system with an AI function that studied endoscopic images extracted from movies obtained with colonoscopes used in routine examinations. Here, we report our preliminary results of this novel CNN-CAD system for the diagnosis of colon polyps. A total of 1,200 images from cases of colonoscopy performed between January 2010 and December 2016 at Kindai University Hospital were used. These images were extracted from the video of actual endoscopic examinations. Additional video images from 10 cases of unlearned processes were retrospectively assessed in a pilot study. They were simply diagnosed as either an adenomatous or nonadenomatous polyp. The number of images used by AI to learn to distinguish adenomatous from nonadenomatous was 1,200:600. These images were extracted from the videos of actual endoscopic examinations. The size of each image was adjusted to 256 × 256 pixels. A 10-hold cross-validation was carried out. The accuracy of the 10-hold cross-validation is 0.751, where the accuracy is the ratio of the number of correct answers over the number of all the answers produced by the CNN. The decisions by the CNN were correct in 7 of 10 cases. A CNN-CAD system using routine colonoscopy might be useful for the rapid diagnosis of colorectal polyp classification. Further prospective studies in an in vivo setting are required to confirm the effectiveness of a CNN-CAD system in routine colonoscopy. © 2017 S. Karger AG, Basel.

Marketing EPSDT to Clients: A Self-Instructional Module for Early Periodic Screening Diagnosis Treatment.

ERIC Educational Resources Information Center

Simon, John L.; McArdle, Patricia

Early and Periodic Screening, Diagnosis and Treatment (EPSDT) is a program of preventive health services available to individuals under 21 years of age who are eligible for Medicaid benefits. As of July 1, 1973, all states operating a Medicaid program were required to provide EPSDT services to all those eligible. The purpose of this module is to…

Lupus erythematosus (LE) cells in ascites: initial diagnosis of systemic lupus erythematosus by cytological examination: a case report.

PubMed

Chou, Kun-Ta; Lee, Yu-Chin; Chen, Chun-Wei; Shih, Jen-Fu; Tung, Su-Mei; Yang, Ya-Ting; Perng, Reury-Perng

2007-11-01

Systemic lupus erythematosus (SLE) is an autoimmune disease, involving multiple organs. Diverse manifestations may obscure the diagnosis and confuse our thinking process, especially when few clues are present at the beginning. Serositis is one of the various presentations, and the presence of lupus erythematosus (LE) cell in body fluid may be a hint for the final diagnosis of SLE. Herein, we present a young female patient diagnosed of SLE with initial presentation of lupus peritonitis. Finding of LE cell in ascites prompted us for immunologic survey. Diagnosis of SLE was confirmed with high titer of anti-nuclear antibody and antibody to double-stranded DNA. Cytologic examination of body fluid is mainly useful in detecting malignant cells, but high specificity of this marker aids in early diagnosis of SLE.

Epigenetic regulation of HIV, AIDS, and AIDS-related malignancies.

PubMed

Verma, Mukesh

2015-01-01

Although epigenetics is not a new field, its implications for acquired immunodeficiency syndrome (AIDS) research have not been explored fully. To develop therapeutic and preventive approaches against the human immunodeficiency virus (HIV) and AIDS, it is essential to understand the mechanisms of interaction between the virus and the host, involvement of genetic and epigenetic mechanisms, characterization of viral reservoirs, and factors influencing the latency of the virus. Both methylation of viral genes and histone modifications contribute to initiating and maintaining latency and, depending on the context, triggering viral gene repression or expression. This chapter discusses progress made at the National Institutes of Health (NIH), recommendations from the International AIDS Society Scientific Working Group on HIV Cure, and underlying epigenetic regulation. A number of epigenetic inhibitors have shown potential in treating AIDS-related malignancies. Epigenetic drugs approved by the US Food and Drug Administration and their implications for the eradication of HIV/AIDS and AIDS-related malignancies also are discussed.Past and current progress in developing treatments and understanding the molecular mechanisms of AIDS and HIV infection has greatly improved patient survival. However, increased survival has been coupled with the development of cancer at higher rates than those observed among the HIV/AIDS-negative population. During the early days of the AIDS epidemic, the most frequent AIDS-defining malignancies were Kaposi's sarcoma and non-Hodgkin lymphoma (NHL). Now, with increased survival as the result of widespread use in the developed world of highly active antiretroviral therapy (HAART), non-AIDS defining cancers (i.e., anal, skin, and lung cancers, and Hodgkin disease) are on the increase in HIV-infected populations. The current status of AIDS-related malignancies also is discussed.

Early diagnosis of typhoid fever by nested PCR for flagellin gene of Salmonella enterica serotype Typhi.

PubMed

Khan, S; Harish, B N; Menezes, G A; Acharya, N S; Parija, S C

2012-11-01

Typhoid fever caused by Salmonella Typhi continues to be a major health problem in spite of the use of antibiotics and the development of newer antibacterial drugs. Inability to make an early laboratory diagnosis and resort to empirical therapy, often lead to increased morbidity and mortality in cases of typhoid fever. This study was aimed to optimize a nested PCR for early diagnosis of typhoid fever and using it as a diagnostic tool in culture negative cases of suspected typhoid fever. Eighty patients with clinical diagnosis of typhoid fever and 40 controls were included in the study. The blood samples collected were subjected to culture, Widal and nested PCR targeting the flagellin gene of S. Typhi. The sensitivity of PCR on blood was found to be 100 per cent whereas the specificity was 76.9 per cent. The positive predictive value (PPV) of PCR was calculated to be 76.9 per cent with an accuracy of 86 per cent. None of the 40 control samples gave a positive PCR. Due to its high sensitivity and specificity nested PCR can be used as a useful tool to diagnose clinically suspected, culture negative cases of typhoid fever.

Computer-aided detection of early cancer in the esophagus using HD endoscopy images

NASA Astrophysics Data System (ADS)

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

2013-02-01

Esophageal cancer is the fastest rising type of cancer in the Western world. The recent development of High-Definition (HD) endoscopy has enabled the specialist physician to identify cancer at an early stage. Nevertheless, it still requires considerable effort and training to be able to recognize these irregularities associated with early cancer. As a first step towards a Computer-Aided Detection (CAD) system that supports the physician in finding these early stages of cancer, we propose an algorithm that is able to identify irregularities in the esophagus automatically, based on HD endoscopic images. The concept employs tile-based processing, so our system is not only able to identify that an endoscopic image contains early cancer, but it can also locate it. The identification is based on the following steps: (1) preprocessing, (2) feature extraction with dimensionality reduction, (3) classification. We evaluate the detection performance in RGB, HSI and YCbCr color space using the Color Histogram (CH) and Gabor features and we compare with other well-known features to describe texture. For classification, we employ a Support Vector Machine (SVM) and evaluate its performance using different parameters and kernel functions. In experiments, our system achieves a classification accuracy of 95.9% on 50×50 pixel tiles of tumorous and normal tissue and reaches an Area Under the Curve (AUC) of 0.990. In 22 clinical examples our algorithm was able to identify all (pre-)cancerous regions and annotate those regions reasonably well. The experimental and clinical validation are considered promising for a CAD system that supports the physician in finding early stage cancer.

Trypanosoma cruzi Necrotizing Meningoencephalitis in a Venezuelan HIV+-AIDS Patient: Pathological Diagnosis Confirmed by PCR Using Formalin-Fixed- and Paraffin-Embedded-Tissues

PubMed Central

Rossi Spadafora, Marcello Salvatore; Céspedes, Ghislaine; Romero, Sandra; Fuentes, Isabel; Boada-Sucre, Alpidio A.; Cañavate, Carmen; Flores-Chávez, María

2014-01-01

Coinfections with human immunodeficiency virus (HIV) and infectious agents have been recognized since the early 90s. In the central nervous system (CNS) of HIV+ patients, parasitic protozoans like Toxoplasma gondii have been described as responsible for the space occupying lesions (SOL) developed. However, the involvement of Trypanosoma cruzi is also described but appears to be less frequent in acquired immunodeficiency syndrome (AIDS) and transplant recipients, associated with necrotizing myocarditis and neurological symptoms related to the occurrence of necrotizing pseudotumoral encephalitis (NPE) and meningoencephalitis (NME). The present work aims to present a Venezuelan case of NME associated with the coinfection of HIV and a T. cruzi-like trypanosomatid as well as its evolution and diagnosis by histopathological techniques, electron microscopy, and PCR methods using formalin-fixed- (FF-) and paraffin-embedded- (PE-) tissues. Postmortem cytological studies of leptomeninges imprints reveal the presence of trypomastigotes of Trypanosoma sp. Histopathological and electron microscopy studies allowed us to identify an amastigote stage and to reject the involvement of other opportunistic microorganisms as the etiological agent of the SOL. The definitive confirmation of T. cruzi as the etiological agent was achieved by PCR suggesting that the NME by T. cruzi was due to a reactivation of Chagas' disease. PMID:25763312

Thrombosis in essential thrombocytemia and early/prefibrotic primary myelofibrosis: the role of the WHO histological diagnosis.

PubMed

Rupoli, Serena; Goteri, Gaia; Picardi, Paola; Micucci, Giorgia; Canafoglia, Lucia; Scortechini, Anna Rita; Federici, Irene; Giantomassi, Federica; Da Lio, Lidia; Zizzi, Antonio; Honorati, Elisa; Leoni, Pietro

2015-04-16

Vascular events represent the most frequent complications of thrombocytemias. We aimed to evaluate their risk in the WHO histologic categories of Essential Thrombocytemia (ET) and early Primary Myelofibrosis (PMF). From our clinical database of 283 thrombocytemic patients, we selected those with available bone marrow histology performed before any treatment, at or within 1 year from diagnosis, and reclassified the 131 cases as true ET or early PMF, with or without fibrosis, according to the WHO histological criteria. Vaso-occlusive events at diagnosis and in the follow-up were compared in the WHO-groups. Histologic review reclassified 61 cases as ET and 72 cases as early PMF (26 prefibrotic and 42 with grade 1 or 2 fibrosis). Compared to ET, early PMF showed a significant higher rate of thrombosis both in the past history (22% vs 8%) and at diagnosis (15.2% vs 1.6%), and an increased leukocyte count (8389 vs 7500/mmc). Venous thromboses (mainly atypical) were relatively more common in PMF than in ET. Patients with prefibrotic PMF, although younger, showed a significant higher 15-year risk of developing thrombosis (48% vs 16% in fibrotic PMF and 17% in ET). At multivariate analysis, age and WHO histology were both independent risk-factors for thrombosis during follow-up; patients >60 yr-old or with prefibrotic PMF showed a significantly higher risk at 20 years than patients <60 yr-old with ET or fibrotic PMF (47% vs 4%, p = 0.005). Our study support the importance of WHO histologic categories in the thrombotic risk stratification of patients with thrombocytemias. The virtual slide(s) for this article can be found here: http://www.diagnosticpathology.diagnomx.eu/vs/2020211863144412 .

Immunological diagnosis as an adjunctive tool for an early diagnosis of tuberculous meningitis of an immune competent child in a low tuberculosis endemic country: a case report.

PubMed

Vita, Serena; Ajassa, Camilla; Caraffa, Emanuela; Lichtner, Miriam; Mascia, Claudia; Mengoni, Fabio; Paglia, Maria Grazia; Mancarella, Cristina; Colistra, Davide; Di Biasi, Claudio; Ciardi, Rosa Maria; Mastroianni, Claudio Maria; Vullo, Vincenzo

2017-03-13

Pediatric tuberculous meningitis is a highly morbid, often fatal disease. Its prompt diagnosis and treatment saves lives, in fact delays in the initiation of therapy have been associated with high mortality rates. This is a case of an Italian child who was diagnosed with tuberculous meningitis after a history of a month of headache, fatigue and weight loss. Cerebrospinal fluid analysis revealed a lymphocytic pleocytosis with predominance and decreased glucose concentration. Microscopy and conventional diagnostic tests to identify Mycobacterium tuberculosis were negative, while a non classical method based on intracellular cytokine flow cytometry response of CD4 cells in cerebral spinal fluid helped us to address the diagnosis, that was subsequently confirmed by a nested polymerase chain reaction amplifying a 123 base pair fragment of the M. tuberculosis DNA. We diagnosed tuberculous meningitis at an early stage through an innovative immunological approach, supported by a nested polymerase chain reaction for detection of M. tuberculosis DNA. An early diagnosis is required in order to promptly initiate a therapy and to increase the patient's survival.

Interpersonal differentiation within depression diagnosis: relating interpersonal subgroups to symptom load and the quality of the early therapeutic alliance.

PubMed

Grosse Holtforth, Martin; Altenstein, David; Krieger, Tobias; Flückiger, Christoph; Wright, Aidan G C; Caspar, Franz

2014-01-01

We examined interpersonal problems in psychotherapy outpatients with a principal diagnosis of a depressive disorder in routine care (n=361). These patients were compared to a normative non-clinical sample and to outpatients with other principal diagnoses (n=959). Furthermore, these patients were statistically assigned to interpersonally defined subgroups that were compared regarding symptoms and the quality of the early alliance. The sample of depressive patients reported higher levels of interpersonal problems than the normative sample and the sample of outpatients without a principal diagnosis of depression. Latent Class Analysis identified eight distinct interpersonal subgroups, which differed regarding self-reported symptom load and the quality of the early alliance. However, therapists' alliance ratings did not differentiate between the groups. This interpersonal differentiation within the group of patients with a principal diagnosis of depression may add to a personalized psychotherapy based on interpersonal profiles.

Screening mammography--early detection or over-diagnosis? Contribution from Australian data.

PubMed

Bell, R J

2014-12-01

The aim of this review was to examine the benefits and harms of organized screening mammography, with particular reference to data from Australia. Published literature was examined relating to the impact of screening mammography on breast cancer-specific mortality, the trends in use of adjuvant treatments for breast cancer, the effectiveness of adjuvant treatment in terms of breast cancer-specific mortality, the impact of breast cancer treatment on non-breast cancer mortality and the magnitude of the issue of over-diagnosis. Most of the recent reduction in breast cancer-specific mortality is explained by use of adjuvant therapy rather than screening mammography. The impact of screening mammography in countries where women present with early disease and have access to adjuvant treatment is modest. There is a wide range of estimates for the magnitude of over-diagnosis. All-cause mortality (rather than breast cancer-specific mortality) should be used when assessing the impact of mammographic screening as otherwise the harm of breast cancer treatment in women who are over-diagnosed will be missed. The benefits and harms of screening mammography are finely balanced. The impact of screening mammography is at best neutral but may result in overall harm. Women should be informed of the issue of over-diagnosis. It is time to review whether organized mammographic screening programs should continue.

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.

Large-scale Metabolomic Analysis Reveals Potential Biomarkers for Early Stage Coronary Atherosclerosis.

PubMed

Gao, Xueqin; Ke, Chaofu; Liu, Haixia; Liu, Wei; Li, Kang; Yu, Bo; Sun, Meng

2017-09-18

Coronary atherosclerosis (CAS) is the pathogenesis of coronary heart disease, which is a prevalent and chronic life-threatening disease. Initially, this disease is not always detected until a patient presents with seriously vascular occlusion. Therefore, new biomarkers for appropriate and timely diagnosis of early CAS is needed for screening to initiate therapy on time. In this study, we used an untargeted metabolomics approach to identify potential biomarkers that could enable highly sensitive and specific CAS detection. Score plots from partial least-squares discriminant analysis clearly separated early-stage CAS patients from controls. Meanwhile, the levels of 24 metabolites increased greatly and those of 18 metabolites decreased markedly in early CAS patients compared with the controls, which suggested significant metabolic dysfunction in phospholipid, sphingolipid, and fatty acid metabolism in the patients. Furthermore, binary logistic regression showed that nine metabolites could be used as a combinatorial biomarker to distinguish early-stage CAS patients from controls. The panel of nine metabolites was then tested with an independent cohort of samples, which also yielded satisfactory diagnostic accuracy (AUC = 0.890). In conclusion, our findings provide insight into the pathological mechanism of early-stage CAS and also supply a combinatorial biomarker to aid clinical diagnosis of early-stage CAS.

Chromatic multifocal pupillometer for objective early diagnosis of mild cognitive impairment

NASA Astrophysics Data System (ADS)

Rotenstreich, Ygal; Ben-Ner, Daniel; Sharvit-Ginon, Inbal; Ravona-Springer, Ramit; Beeri, Michal; Sher, Ifat

2017-02-01

The pupil responses of 15 cognitively normal subjects (ages 60-74) were examined in response to 76 focal red and blue light stimuli using a chromatic multifocal pupillometer (CMP). Subjects with low cognitive scores as determined as by Montreal Cognitive Assessment testing, presented significantly weaker and sluggish pupil responses in peripheral and central locations of the visual field in response to red and blue light. Our findings suggests that the CMP may present a novel objective, non-invasive, low cost technique for early diagnosis of cognitive decline that may serve for Alzheimer Disease prevention and as sensitive outcome measure of therapeutic effects.

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.

Computer Aided Diagnostic Support System for Skin Cancer: A Review of Techniques and Algorithms

PubMed Central

Masood, Ammara; Al-Jumaily, Adel Ali

2013-01-01

Image-based computer aided diagnosis systems have significant potential for screening and early detection of malignant melanoma. We review the state of the art in these systems and examine current practices, problems, and prospects of image acquisition, pre-processing, segmentation, feature extraction and selection, and classification of dermoscopic images. This paper reports statistics and results from the most important implementations reported to date. We compared the performance of several classifiers specifically developed for skin lesion diagnosis and discussed the corresponding findings. Whenever available, indication of various conditions that affect the technique's performance is reported. We suggest a framework for comparative assessment of skin cancer diagnostic models and review the results based on these models. The deficiencies in some of the existing studies are highlighted and suggestions for future research are provided. PMID:24575126

Ultrasound based computer-aided-diagnosis of kidneys for pediatric hydronephrosis

NASA Astrophysics Data System (ADS)

Cerrolaza, Juan J.; Peters, Craig A.; Martin, Aaron D.; Myers, Emmarie; Safdar, Nabile; Linguraru, Marius G.

2014-03-01

Ultrasound is the mainstay of imaging for pediatric hydronephrosis, though its potential as diagnostic tool is limited by its subjective assessment, and lack of correlation with renal function. Therefore, all cases showing signs of hydronephrosis undergo further invasive studies, like diuretic renogram, in order to assess the actual renal function. Under the hypothesis that renal morphology is correlated with renal function, a new ultrasound based computer-aided diagnosis (CAD) tool for pediatric hydronephrosis is presented. From 2D ultrasound, a novel set of morphological features of the renal collecting systems and the parenchyma, is automatically extracted using image analysis techniques. From the original set of features, including size, geometric and curvature descriptors, a subset of ten features are selected as predictive variables, combining a feature selection technique and area under the curve filtering. Using the washout half time (T1/2) as indicative of renal obstruction, two groups are defined. Those cases whose T1/2 is above 30 minutes are considered to be severe, while the rest would be in the safety zone, where diuretic renography could be avoided. Two different classification techniques are evaluated (logistic regression, and support vector machines). Adjusting the probability decision thresholds to operate at the point of maximum sensitivity, i.e., preventing any severe case be misclassified, specificities of 53%, and 75% are achieved, for the logistic regression and the support vector machine classifier, respectively. The proposed CAD system allows to establish a link between non-invasive non-ionizing imaging techniques and renal function, limiting the need for invasive and ionizing diuretic renography.

Computer-aided diagnosis of prostate cancer using a deep convolutional neural network from multiparametric MRI.

PubMed

Song, Yang; Zhang, Yu-Dong; Yan, Xu; Liu, Hui; Zhou, Minxiong; Hu, Bingwen; Yang, Guang

2018-04-16

Deep learning is the most promising methodology for automatic computer-aided diagnosis of prostate cancer (PCa) with multiparametric MRI (mp-MRI). To develop an automatic approach based on deep convolutional neural network (DCNN) to classify PCa and noncancerous tissues (NC) with mp-MRI. Retrospective. In all, 195 patients with localized PCa were collected from a PROSTATEx database. In total, 159/17/19 patients with 444/48/55 observations (215/23/23 PCas and 229/25/32 NCs) were randomly selected for training/validation/testing, respectively. T 2 -weighted, diffusion-weighted, and apparent diffusion coefficient images. A radiologist manually labeled the regions of interest of PCas and NCs and estimated the Prostate Imaging Reporting and Data System (PI-RADS) scores for each region. Inspired by VGG-Net, we designed a patch-based DCNN model to distinguish between PCa and NCs based on a combination of mp-MRI data. Additionally, an enhanced prediction method was used to improve the prediction accuracy. The performance of DCNN prediction was tested using a receiver operating characteristic (ROC) curve, and the area under the ROC curve (AUC), sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) were calculated. Moreover, the predicted result was compared with the PI-RADS score to evaluate its clinical value using decision curve analysis. Two-sided Wilcoxon signed-rank test with statistical significance set at 0.05. The DCNN produced excellent diagnostic performance in distinguishing between PCa and NC for testing datasets with an AUC of 0.944 (95% confidence interval: 0.876-0.994), sensitivity of 87.0%, specificity of 90.6%, PPV of 87.0%, and NPV of 90.6%. The decision curve analysis revealed that the joint model of PI-RADS and DCNN provided additional net benefits compared with the DCNN model and the PI-RADS scheme. The proposed DCNN-based model with enhanced prediction yielded high performance in statistical analysis, suggesting

Reagent Strips as an Aid to Diagnosis of Neonatal Meningitis in a Resource-limited Setting.

PubMed

Burgoine, Kathy; Ikiror, Juliet; Naizuli, Ketty; Achom, Linda; Akol, Sylivia; Olupot-Olupot, Peter

2018-01-29

Without early recognition and treatment, neonatal meningitis (NM) has a high mortality and morbidity. Although some neonates have features of NM, many do not. In many low-resource settings, the laboratory support to diagnose NM is not available, and bedside diagnostics are needed. This retrospective study was conducted in a neonatal unit in Uganda. Clear cerebrospinal fluid samples were routinely screened for glucose, protein and leukocytes on a Combur®-10 urinalysis reagent strip. A definitive diagnosis was made using laboratory analysis. The results of the screening and definitive tests were compared. The reagent strip showed moderate sensitivity and high specificity for leukocytes ≥10×106 cells/l, high sensitivity for protein ≥100 mg/dl and high specificity for glucose <50 mg/dl. The use of reagent strips has the potential to improve and hasten the diagnosis of probable NM in settings where adequate or timely laboratory support is not available. © The Author(s) [2018]. Published by Oxford University Press.

Primary care and cancer: Facing the challenge of early diagnosis and survivorship.

PubMed

Round, Thomas

2017-05-01

With ageing populations and an increasing lifetime risk of cancer, primary care will continue to play an increasingly important role in early diagnosis and cancer survivorship, especially with the lowering of risk thresholds for referral and diagnostic investigations. However, primary care in many countries is in crisis with increasing workloads for primary care physicians. Potential solutions to these challenges will be outlined including development of multidisciplinary teams, diagnostic decision support, increasing access to diagnostics and cost-effective referral pathways. © 2017 John Wiley & Sons Ltd.

Usefulness of the Bayley scales of infant and toddler development,third edition, in the early diagnosis of language disorder.

PubMed

Torras-Mañá, Montserrat; Guillamón-Valenzuela, Montserrat; Ramírez-Mallafré, Ariadna; Brun-Gasca, Carme; Fornieles-Deu, Albert

2014-01-01

Language disorder (LD) is a neurodevelopmental disorder, and early diagnosis has an impact on speech therapy practice. The aim of this work is to test the usefulness of the Cognitive and Language scales of the Bayley-III in the early diagnosis of LD. In a longitudinal study, a clinical sample of 187 children with diagnostic hypothesis of communication disorders at 4.5 years was assessed with the Bayley-III before age 3.5 years and subsequently with other scales of different psychological and psycholinguistic functions. The results indicate that children with LD scored significantly lower than their control groups in all subtests and compounds of the Bayley-III. Additionally, low scores on the Language composite in the Bayley-III predicted lower scores in the Auditory-vocal Channel of the ITPA. A significant correlation was obtained between the Cognitive Scale of the Bayley-III and the General Cognitive Scale of the MSCA and the Mental Processing Composite of the K-ABC. We can draw the conclusion that the Cognitive and Language scales of the Bayley-III are a useful instrument for early diagnosis of LD, and can also discriminate more severe forms of LD.

Potential application of non-small cell lung cancer-associated autoantibodies to early cancer diagnosis

PubMed Central

Yao, Yibing; Fan, Yu; Wu, Jun; Wan, Haisu; Wang, Jing; Lam, Stephen; Lam, Wan L.; Girard, Luc; Gazdar, Adi F.; Wu, Zhihao; Zhou, Qinghua

2015-01-01

To identify a panel of tumor associated autoantibodies which can potentially be used as biomarkers for the early diagnosis of non-small cell lung cancer (NSCLC). Thirty-five unique and in-frame expressed phage proteins were isolated. Based on the gene expression profiling, four proteins were selected for further study. Both receiver operating characteristic curve analysis and leave-one-out method revealed that combined measurements of four antibodies produced have better predictive accuracies than any single marker alone. Leave-one-out validation also showed significant relevance with all stages of NSCLC patients. The panel of autoantibodies has a high potential for detecting early stage NSCLC. PMID:22713465

Early Diagnosis of Gestational Diabetes Mellitus (EDoGDM) study: a protocol for a prospective, longitudinal cohort study

PubMed Central

Liu, Bin; Xu, Yun; Zhang, Ying; Cai, Jian; Deng, Langhui; Yang, Jianbo; Zhou, Yi; Long, Yuhang; Zhang, Jinxin; Wang, Zilian

2016-01-01

Introduction A diagnosis of gestational diabetes mellitus (GDM) in low-risk pregnant women is based on an oral glucose tolerance test (OGTT) between 24 and 28 gestational weeks. However, there is insufficient evidence for why the test is performed in this time period. Moreover, the fetus may be exposed to hyperglycaemia prior to the current testing time frame, making earlier administration potentially advantageous. The main purpose of the present study is to investigate the GDM diagnostic value of an OGTT performed at 18–20 gestational weeks. The results of the study may provide scientific insight into the most beneficial time of OGTT for pregnant women. Methods and analysis As a prospective, longitudinal cohort study, the Early Diagnosis of Gestational Diabetes Mellitus (EDoGDM) study will recruit 570 pregnant women who meet the inclusion and exclusion criteria outlined below. OGTTs will be performed between 18 and 20 gestational weeks (early OGTT) and 24–28 gestational weeks (regular OGTT). Clinical and laboratory information of the mother and their offspring will be collected for analysis. The prevalence of GDM at 18–20 gestational weeks will be described, and the sensitivity, specificity, positive predictive value and negative predictive value of early OGTT on diagnosis of GDM will be studied. Clinical outcomes associated with hyperglycaemia will be compared between groups diagnosed by early or regular OGTT. Ethics and dissemination The study was approved by The Ethical Committees of The First Affiliated Hospital of Sun Yat-sen University (number 2016-042). Signed informed consent will be obtained from all participants. The results of this study will be disseminated in peer-reviewed journals. Trial registration number NCT02740283. PMID:27872115

Combining simple patient-oriented tests with state-of-the-art molecular diagnostics for early diagnosis of cancer.

PubMed

Fitzgerald, Rebecca C

2015-06-01

Early diagnosis is an important strategy to improve outcomes from cancer. Oesophageal adenocarcinoma is an example of a cancer that presents late, with very poor outcomes, and for which the presence of the precursor lesion Barrett's oesophagus provides the opportunity to intervene at an early stage. In this review, I describe the challenges in the field and the work that we have done to devise a conceptually novel approach to early diagnosis, using a cell collection device (Cytosponge), coupled with molecular assays. This is a personal perspective in which I also describe the career pathway that led me into academic gastroenterology, and the rewards and challenges of translational research in molecular diagnostics. There are fantastic opportunities for clinicians wishing to pursue academic medicine, because it is a time when massive strides are being made in a whole number of areas; for example: imaging, sequencing technology and targeted therapies. Clinicians who can straddle the laboratory and the clinic are essential, to maximise the progress that can be made for the benefit of patients.

Altered serum microRNAs as biomarkers for the early diagnosis of pulmonary tuberculosis infection

PubMed Central

2012-01-01

Background Pulmonary tuberculosis (TB) is a highly lethal infectious disease and early diagnosis of TB is critical for the control of disease progression. The objective of this study was to profile a panel of serum microRNAs (miRNAs) as potential biomarkers for the early diagnosis of pulmonary TB infection. Methods Using TaqMan Low-Density Array (TLDA) analysis followed by quantitative reverse transcriptase polymerase chain reaction (qRT-PCR) validation, expression levels of miRNAs in serum samples from 30 patients with active tuberculosis and 60 patients with Bordetella pertussis (BP), varicella-zoster virus (VZV) and enterovirus (EV) were analyzed. Results The Low-Density Array data showed that 97 miRNAs were differentially expressed in pulmonary TB patient sera compared with healthy controls (90 up-regulated and 7 down-regulated). Following qRT-PCR confirmation and receiver operational curve (ROC) analysis, three miRNAs (miR-361-5p, miR-889 and miR-576-3p) were shown to distinguish TB infected patients from healthy controls and other microbial infections with moderate sensitivity and specificity (area under curve (AUC) value range, 0.711-0.848). Multiple logistic regression analysis of a combination of these three miRNAs showed an enhanced ability to discriminate between these two groups with an AUC value of 0.863. Conclusions Our study suggests that altered levels of serum miRNAs have great potential to serve as non-invasive biomarkers for early detection of pulmonary TB infection. PMID:23272999

Twelve years' experience of computer-aided diagnosis in a district general hospital.

PubMed Central

McAdam, W. A.; Brock, B. M.; Armitage, T.; Davenport, P.; Chan, M.; de Dombal, F. T.

1990-01-01

This paper describes experience in a modern district general hospital with a small desktop system for computer-aided diagnosis of acute abdominal pain, over a 12-year period involving 5512 cases. When compared with a baseline year (1973) in which unaided performance was monitored, during an initial study period (1974-76) the diagnostic accuracy of junior staff rose by between 10 and 15%. This higher performance level was then maintained for a decade (1976-86) despite changes in staff. The perforation rate among appendicitis cases fell from 27% to 12.5%, accompanied by a smaller fall in negative laparotomy rates. The saving in surgical bednights devoted to acute abdominal pain was approximately 15%, and the notional cost of resources saved during the first 6 years of operation was 120,000 pounds. Other hospitals have shown--in the short term--benefits similar to those obtained at Airedale District General Hospital. The long-term benefits of the system at Airedale reinforce the conclusions of the earlier short-term trials that a comparable system should probably be offered to all DGHs in the UK, not as an exercise in 'artificial intelligence' but as an effective continuing stimulus to good clinical practice. PMID:2185682

Towards early in vivo photoacoustic malaria diagnosis with 10,000-fold sensitivity improvement (Conference Presentation)

NASA Astrophysics Data System (ADS)

Carey, Kai A.; Menyaev, Yulian A.; Nedosekin, Dmitry A.; Sarimollaoglu, Mustafa; Galanzha, Ekaterina I.; Stumhofer, Jason S.; Zharov, Vladimir P.

2017-03-01

Roughly 0.6 million people die each year from malaria due to lack of early diagnosis and well-timed treatment. Our previous study demonstrated great potential of in vivo photoacoustic (PA) flow cytometry (PAFC) for early diagnosis of deadly diseases with focus on cancer and thromboembolic complications. Here we demonstrate potential of advanced PAFC platforms using new laser, ultrasound transducer array and recording system to detect infected red blood cells (iRBCs) with malaria-associated pigment hemozoin which has a higher PA contrast than blood background. Mature parasites of human infecting species such as P. falciparum characteristically sequester mature iRBCs in the capillary bed and display synchrony in their reproductive cycle. To address this issue prior to clinical application, new PAFC platform was verified in a pre-clinical study using new animal models. Specifically, we used P. chabaudi (a rodent malaria species that mimics the characteristics of the most virulent human counterpart) to estimate the detection sensitivity with immature ring-stage parasites in peripheral blood, compared PA signals from the differing species, and examined the relationship between PA signal amplitudes and level of blood oxygenation. Based on previous successful trials on melanoma patients with melanin as an intrinsic PA marker, which has similar absorption as hemozoin, we believe that after additional malaria-related clinical trials, PAFC with a small 1064 nm laser and wearable a cost-effective, easy-to-use, watch-like, safe PA probe will provide malaria diagnosis in humans at parasitemia levels 10e4 -times lower than the current gold standard of diagnosis, the Giemsa-stained blood smear. It can reduce malaria-related mortality by well-timed treatment, especially in children in malaria-endemic countries.

Early infant diagnosis of HIV in Myanmar: call for innovative interventions to improve uptake and reduce turnaround time.

PubMed

Thiha, Soe; Shewade, Hemant Deepak; Philip, Sairu; Aung, Thet Ko; Kyaw, Nang Thu Thu; Oo, Myo Minn; Kyaw, Khine Wut Yee; War, May Wint; Oo, Htun Nyunt

2017-01-01

In collaboration with the national AIDS program, early infant diagnosis (EID) is implemented by Integrated HIV Care (IHC) program through its anti-retroviral therapy (ART) centers across 10 cities in five states and regions of Myanmar. Blood samples from the ART centers are sent using public transport to a centralized PCR facility. Among HIV-exposed babies <9 months at enrolment into IHC program (2013-15), to describe the EID cascade (enrolment, sample collection for PCR, result receipt by mother, HIV diagnosis and ART initiation) and factors associated with delayed (>8 weeks of age) or no blood sample collection for EID. Retrospective cohort study involving record review. A predictive poisson regression model with robust variance estimates was fitted for risk factors of delayed or no sample collection. Of 1349 babies, 523 (39%) of the babies' mothers were on ART before pregnancy. Timely uptake of EID (<8 weeks of age) was 47% (633/1349); sample collection was delayed in 27% (367/1349) and not done in 26% (349/1349) babies. Among samples collected (n = 1000), 667 results were received by the mother; 52 (5%) were HIV-infected; among them 42 (81%) were initiated on ART. Median (IQR) turnaround time from sample collection to result receipt by mother and time to initiate ART from result receipt by mother was 7 (4,12) and 8.5 (6,16) weeks, respectively. Mothers not on ART before pregnancy and distance of ART center from PCR facility (more than 128 km) were the risk factors of delayed or no sample collection. Improving provision of ART to mothers (through universal 'test and treat') is urgently required, which has the potential to improve the timely uptake of EID as well. Interventions to reduce turnaround times, like point of care EID testing and/or systematic use of mobile technology to communicate results, are needed.

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

Colour vision in AIDS patients without HIV retinopathy.

PubMed

Sommerhalder, J; Baglivo, E; Barbey, C; Hirschel, B; Roth, A; Pelizzone, M

1998-11-01

Patients suffering from AIDS develop ocular complications, the most frequent being HIV retinopathy. It is however not clear, if functional visual impairments can be observed as early indicators of ocular complications, before clinical diagnosis of HIV retinopathy is made at fundus examination. To address this issue, we measured colour vision in a group of 49 AIDS subjects with normal clinical fundi using the 'two equation method'. This method, combining red-green Rayleigh and the blue-green Moreland metameric matches, enables more complete and quantitative assessments of colour vision than those based on pigmentary tests. Data were collected on our computer controlled colorimeter and compared to those of normal subjects. While most AIDS subjects without HIV retinopathy demonstrated normal colour vision, a significant portion of them had wider matches than normal subjects (11% for the Rayleigh equation and 16% for the Moreland equation). Furthermore, matching ranges of the Moreland equation were significantly correlated with CD4 lymphocyte counts. Patients with low CD4 values tended to produce larger matching ranges than the patients with high CD4 values. A within subject study on 17 patients confirmed this trend and showed that the patients who increased/decreased their CD4 blood counts generally improved/impaired their colour discrimination in the Moreland match. No such correlation was found between the matching ranges of the Rayleigh equation and the CD4 counts. These results show that colour discrimination is slightly reduced in some AIDS subjects, although there are no detectable ocular complications. They also suggest two different types of colour vision impairments in AIDS patients without retinopathy: one reversible process affecting colour discrimination in the blue-green range; and another irreversible process affecting colour discrimination in the red-green range.

76 FR 23712 - Impact Aid Programs

Federal Register 2010, 2011, 2012, 2013, 2014

2011-04-28

... certain eligible local educational agencies (LEAs) that receive Impact Aid formula funds. These final regulations amend a requirement for applying for these Impact Aid funds and will improve the administration... provide early notification of our specific plans and actions for this program. Assessment of Educational...

Early Psoriatic Arthritis Versus Early Seronegative Rheumatoid Arthritis: Role of Dermoscopy Combined with Ultrasonography for Differential Diagnosis.

PubMed

Zabotti, Alen; Errichetti, Enzo; Zuliani, Francesca; Quartuccio, Luca; Sacco, Stefania; Stinco, Giuseppe; De Vita, Salvatore

2018-05-01

Exclusion of psoriatic skin/nail lesions is important in differentiating early seronegative rheumatoid arthritis (ERA) from early polyarticular psoriatic arthritis (EPsA) and such manifestations may go unnoticed in atypical or minimally expressed cases. The aim of this study is to assess the usefulness of integrated rheumatological-dermatological evaluation in highlighting dermatological lesions missed on rheumatological examination and to investigate the role of ultrasonography (US) and dermoscopy in improving the recognition of subclinical psoriatic findings. Patients with a new diagnosis of seropositive or seronegative ERA and EPsA with prevalent hands involvement were recruited. All were reassessed for the presence of psoriatic lesions during an integrated rheumatological-dermatological clinical evaluation and underwent hands US and proximal nailfold dermoscopy. Seventy-three consecutive subjects were included in the study: 25 with seropositive ERA, 23 with seronegative ERA, and 25 with EPsA. One-fourth of the subjects initially diagnosed as seronegative ERA presented cutaneous or nail psoriasis on integrated rheumatological-dermatological evaluation, thereby being reclassified as EPsA. The presence of at least 1 extrasynovial feature on hand US and dotted vessels on proximal nailfold dermoscopy was significantly associated with EPsA, with a sensitivity of 68.0% and 96.0% and a specificity of 88.1% and 83.3% for US and dermoscopy, respectively. When used together, specificity for PsA diagnosis raised to 90.5%. Integrated rheumatological-dermatological clinical evaluation may be helpful in identifying patients with EPsA misclassified as seronegative ERA. Additionally, US and dermoscopy may be used as supportive tools in identifying subclinical psoriatic features, which may come in handy in distinguishing EPsA from ERA.

Brain Magnetic Resonance Imaging as First-Line Investigation for Growth Hormone Deficiency Diagnosis in Early Childhood.

PubMed

Pampanini, Valentina; Pedicelli, Stefania; Gubinelli, Jessica; Scirè, Giuseppe; Cappa, Marco; Boscherini, Brunetto; Cianfarani, Stefano

2015-01-01

The diagnosis of growth hormone (GH) deficiency (GHD) in infancy and early childhood is not straightforward. GH stimulation tests are unsafe and unreliable in infants, and normative data are lacking. This study aims to investigate whether brain magnetic resonance imaging (MRI) may replace GH stimulation tests in the diagnosis of GHD in children younger than 4 years. We examined a retrospective cohort, with longitudinal follow-up, of 68 children consecutively diagnosed with GHD before the age of 4 years. The prevalence of hypothalamic-pituitary (HP) alterations at MRI and the associations with age and either isolated GHD (IGHD) or multiple pituitary hormone deficiency (MPHD) were assessed. The prevalences of IGHD and MPHD were 54.4 and 45.6%, respectively. In the first group, brain MRI showed abnormalities in 83.8%: isolated pituitary hypoplasia in 48.7% and complex defects in 35.1%. In patients with MPHD, MRI showed complex alterations in 100%. All children younger than 24 months showed HP MRI abnormalities, regardless of the diagnosis. Complex defects were found in 94% of patients younger than 12 months and in 75% of patients between 13 and 24 months. Our data suggest that brain MRI may represent the first-line investigation for diagnosing GHD in infancy and early childhood. © 2015 S. Karger AG, Basel.

Arab American women's lived experience with early-stage breast cancer diagnosis and surgical treatment.

PubMed

Obeidat, Rana Fakhri; Lally, Robin M; Dickerson, Suzanne S

2012-01-01

Currently, limited literature addresses Arab American women's responses to the impact of breast cancer and its treatments. The objective of the study was to understand the experience of being diagnosed with and undergoing surgical treatment for early-stage breast cancer among Arab American women. A qualitative interpretive phenomenological research design was used for this study. A purposive sample of 10 Arab American women who were surgically treated for early-stage breast cancer in the United States was recruited. Data were collected using individual interviews and analyzed using the Heideggerian hermeneutical methodology. Arab American women accepted breast cancer diagnosis as something in God's hands that they had no control over. Although they were content with God's will, the women believed that the diagnosis was a challenge that they should confront. The women confronted this challenge by accessing the healthcare system for treatment, putting trust in their physicians, participating when able in treatment decisions, using religious practices for coping, maintaining a positive attitude toward the diagnosis and the treatment, and seeking information. Arab American women's fatalistic beliefs did not prevent them from seeking care and desiring treatment information and options when diagnosed with breast cancer. It is important that healthcare providers encourage patients to express meanings they attribute to their illness to provide them with appropriate supportive interventions. They should also individually assess patients' decision-making preferences, invite them to participate in decision making, and provide them with tailored means necessary for such participation without making any assumptions based on patients' ethnic/cultural background.

CMV sinusitis as the initial manifestation of AIDS.

PubMed

Jütte, A; Fätkenheuer, G; Hell, K; Salzberger, B

2000-03-01

Cytomegalovirus (CMV) disease is a typical late-stage complication of AIDS. Only six cases of CMV sinusitis have been reported in the literature. This is the first case of CMV sinusitis leading to the diagnosis of HIV and CMV retinitis. Diseases of the sinonasal tract may represent an initial manifestation of HIV or AIDS.

Early diagnosis of incipient caries based on non-invasive lasers

NASA Astrophysics Data System (ADS)

Velescu, A.; Todea, C.; Vitez, B.

2016-03-01

AIM: The aim of this study is to detect incipient caries and enamel demineralization using laser fluorescence.This serves only as an auxilary aid to identify and to monitor the development of these lesions. MATERIALS AND METHODS: 6 patients were involved in this study, three females and three male. Each patient underwent a professional cleaning, visual examination of the oral cavity, and then direct inspection using DiagnoCam and DIAGNOdent. After data recording each patient was submitted to retro-alveolar X-ray on teeth that were detected with enamel lesions. All data was collected and analyzed statistically. RESULTS: Of 36 areas considered in clinically healthy, 24 carious surfaces were found using laser fluorescence, a totally non-invasive method for detecting incipient carious lesions compared with the radiographic examination. CONCLUSIONS: This method has good applicability for patients because it improves treatment plan by early detection of caries and involves less fear for anxious patients and children.

Computer-aided diagnosis of malignant mammograms using Zernike moments and SVM.

PubMed

Sharma, Shubhi; Khanna, Pritee

2015-02-01

This work is directed toward the development of a computer-aided diagnosis (CAD) system to detect abnormalities or suspicious areas in digital mammograms and classify them as malignant or nonmalignant. Original mammogram is preprocessed to separate the breast region from its background. To work on the suspicious area of the breast, region of interest (ROI) patches of a fixed size of 128×128 are extracted from the original large-sized digital mammograms. For training, patches are extracted manually from a preprocessed mammogram. For testing, patches are extracted from a highly dense area identified by clustering technique. For all extracted patches corresponding to a mammogram, Zernike moments of different orders are computed and stored as a feature vector. A support vector machine (SVM) is used to classify extracted ROI patches. The experimental study shows that the use of Zernike moments with order 20 and SVM classifier gives better results among other studies. The proposed system is tested on Image Retrieval In Medical Application (IRMA) reference dataset and Digital Database for Screening Mammography (DDSM) mammogram database. On IRMA reference dataset, it attains 99% sensitivity and 99% specificity, and on DDSM mammogram database, it obtained 97% sensitivity and 96% specificity. To verify the applicability of Zernike moments as a fitting texture descriptor, the performance of the proposed CAD system is compared with the other well-known texture descriptors namely gray-level co-occurrence matrix (GLCM) and discrete cosine transform (DCT).

Computer-aided diagnosis with textural features for breast lesions in sonograms.

PubMed

Chen, Dar-Ren; Huang, Yu-Len; Lin, Sheng-Hsiung

2011-04-01

Computer-aided diagnosis (CAD) systems provided second beneficial support reference and enhance the diagnostic accuracy. This paper was aimed to develop and evaluate a CAD with texture analysis in the classification of breast tumors for ultrasound images. The ultrasound (US) dataset evaluated in this study composed of 1020 sonograms of region of interest (ROI) subimages from 255 patients. Two-view sonogram (longitudinal and transverse views) and four different rectangular regions were utilized to analyze each tumor. Six practical textural features from the US images were performed to classify breast tumors as benign or malignant. However, the textural features always perform as a high dimensional vector; high dimensional vector is unfavorable to differentiate breast tumors in practice. The principal component analysis (PCA) was used to reduce the dimension of textural feature vector and then the image retrieval technique was performed to differentiate between benign and malignant tumors. In the experiments, all the cases were sampled with k-fold cross-validation (k=10) to evaluate the performance with receiver operating characteristic (ROC) curve. The area (A(Z)) under the ROC curve for the proposed CAD system with the specific textural features was 0.925±0.019. The classification ability for breast tumor with textural information is satisfactory. This system differentiates benign from malignant breast tumors with a good result and is therefore clinically useful to provide a second opinion. Copyright © 2010 Elsevier Ltd. All rights reserved.

[The early diagnosis value of EV 71 IgM class antibodies in the hand, foot and mouth disease].

PubMed

Zhao, Jing; Xu, Jun; Chen, Wei-wei; Li, Yong-li; Tang, Yan; Li, Jia; Wang, Hai-bin; Guo, Tong-sheng; Zhao, Min; Li, Bo-an; Mao, Yuan-li

2011-04-01

Assessment of detection of IgM antibodies for human enterovirus 71 (EV 71) in early diagnosis for the hand, foot and mouth disease (HFMD). The sera and throat swabs from 38 patients which were clinical diagnosis as HFMD, were continuous daily collected in our hospital in 2010. These specimens were detected by EV 71 IgM antibodies assay, real time RT-PCR methods for EV 71 and Enterovirus. Among 38 HFMD patients, the cumulative positive rates of EV 71 IgM antibodies were: 60.5% on day 1, 71.1% on day 2, 81.5% in the first 3-4 days, 92.1% on day 5, 92.1% on day 6, and the positive rate of nucleic acid detected by the real time RT-PCR for EV 71 and Enterovirus were 60.5%, 73.6%. The positive rate of EV 71 IgM antibodies in the hand, foot and mouth disease just can occur on day 1, and reach to peak on day 5, which can be used as one of indicators of early diagnosis of hand, foot and mouth disease.

Electron microscopic diagnosis of human flavivirus encephalitis: use of confocal microscopy as an aid.

PubMed

Chu, C T; Howell, D N; Morgenlander, J C; Hulette, C M; McLendon, R E; Miller, S E

1999-10-01

The distinction between intracranial viral infections and inflammatory conditions requiring immunosuppression is important. Although specific laboratory reagents are readily available for some viruses, diagnosis of arbovirus infection is more difficult. Transmission electron microscopy (TEM) theoretically allows identification of viral particles independent of reagent availability, but it has limited sensitivity. We report two cases of human flavivirus encephalitis diagnosed by TEM. Laser scanning confocal microscopy (LSCM) was used in one case to survey unembedded tissue slices for focal abnormalities, from which fragments smaller than 1 mm2 were excised for epoxy embedding. This facilitated TEM identification of intracytoplasmic, budding, 35-40 nm spherical virus particles, confirmed by serology as St. Louis encephalitis. In contrast to mosquitoes and newborn mice, in which high viral loads are associated with minimal tissue responses, these biopsies showed florid angiodestructive inflammation and microgliosis, with rare virions in necrotic perivascular cells and astrocytes. To our knowledge, this represents the first ultrastructural study of St. Louis encephalitis in humans, indicating the potential value of LSCM-aided TEM.

Cytokine signaling pathway polymorphisms and AIDS-related non-Hodgkin lymphoma risk in the Multicenter AIDS Cohort Study

PubMed Central

Wong, Hui-Lee; Breen, Elizabeth C.; Pfeiffer, Ruth M.; Aissani, Brahim; Martinson, Jeremy J.; Margolick, Joseph B.; Kaslow, Richard A.; Jacobson, Lisa P.; Ambinder, Richard F.; Chanock, Stephen; Martínez-Maza, Otoniel; Rabkin, Charles S.

2014-01-01

Cytokine stimulation of B-cell proliferation may be an important etiologic mechanism for acquired immunodeficiency syndrome (AIDS)-related non-Hodgkin lymphoma (NHL). The Epstein-Barr virus may be a co-factor, particularly for primary central nervous system (CNS) tumors, which are uniformly EBV-positive in the setting of AIDS. Thus, we examined associations of genetic variation in IL10 and related cytokine signaling molecules (IL10RA, CXCL12, IL13, IL4, IL4R, CCL5 and BCL6) with AIDS-related NHL risk and evaluated differences between primary CNS and systemic tumors. We compared 160 Multicenter AIDS Cohort Study (MACS) participants with incident lymphomas, of which 90 followed another AIDS diagnosis, to HIV-1-seropositive controls matched on duration of lymphoma-free survival post-HIV-1 infection (N=160) or post-AIDS diagnosis (N=90). We fit conditional logistic regression models to estimate odds ratios (ORs) and 95 percent confidence intervals (95%CIs). Carriage of at least one copy of the T allele for the IL10 rs1800871 (as compared to no copies) was associated with decreased AIDS-NHL risk specific to lymphomas arising from the CNS (CC vs. CT/TT: OR=0.3; 95%CI: 0.1, 0.7) but not systemically (CC vs. CT/TT: OR=1.0; 95%CI: 0.5, 1.9) (Pheterogeneity=0.03). Carriage of two copies of the “low IL10” haplotype rs1800896_A/rs1800871_T/rs1800872_A was associated with decreased lymphoma risk that varied by number of copies (Ptrend=0.02). None of the ORs for the other studied polymorphisms was significantly different from 1.0. Excessive IL10 response to HIV-1 infection may be associated with increased risk of NHL, particularly in the CNS. IL10 dysregulation may be an important etiologic pathway for EBV-related lymphomagenesis. PMID:20299965

[Heterotopic ossification spinal cord injury. Management through early diagnosis and therapy].

PubMed

Maier, D

2005-02-01

Heterotopic ossification is a frequent and potentially disastrous complication of acute spinal cord injury. Pathogenesis and etiology are not well described, initial clinical symptoms are uncharacteristic, specific laboratory findings do not exist. Between March 1997 and May 2000 all 290 patients admitted to our facility with acute spinal cord injury underwent standardized sonographic examinations of the soft tissue around the hip joint every three weeks, starting as early as two weeks after injury. In 12% of the patient population characteristic sonographic findings for heterotopic ossification were present while the regular x-ray examination was still unremarkable. Laboratory findings (alkaline phosphatase, C-reactive protein, anorganic phosphate) were unspecific. Clinical findings were present only in a few patients. All patients underwent radiotherapy consisting of the administration of 5 times 3 Gy to the area as soon as possible. Follow up demonstrated no progression of the heterotopic bone formation in these cases. In conclusion, regular ultrasound examination proved to be a secure, fast and reproducible method for the very early diagnosis of heterotopic ossification after acute spinal cord injury.

Early Diagnosis and Intervention Strategies for Post-Traumatic Heterotopic Ossification in Severely Injured Extremities

DTIC Science & Technology

2016-12-01

the study for the presence or absence of ectopic bone formation at the indicated time points post injury (Table 1.). 8 Table 1. Incidence of HO...1 Award Number: W81XWH-12-2-0119 TITLE: Early Diagnosis and Intervention Strategies for Post -Traumatic Heterotopic Ossification in Severely...2016 TYPE OF REPORT: Final PREPARED FOR: U.S. Army Medical Research and Materiel Command Fort Detrick, Maryland 21702-5012 DISTRIBUTION STATEMENT

Early Diagnosis and Intervention Strategies for Post-Traumatic Heterotopic Ossification in Severely Injured Extremities

DTIC Science & Technology

2013-10-01

study will recruit wounded warriors with severe extremity trauma, which places them at high risk for heterotopic ossification (HO); bone formation at...involved in HO; 2) to define accurate and practical methods to predict where HO will develop; and 3) to define potential therapies for prevention or...elicit HO. These tools also need to provide effective methods for early diagnosis or risk assessment (prediction) so that therapies for prevention or

Alzheimer's Disease Early Diagnosis Using Manifold-Based Semi-Supervised Learning.

PubMed

Khajehnejad, Moein; Saatlou, Forough Habibollahi; Mohammadzade, Hoda

2017-08-20

Alzheimer's disease (AD) is currently ranked as the sixth leading cause of death in the United States and recent estimates indicate that the disorder may rank third, just behind heart disease and cancer, as a cause of death for older people. Clearly, predicting this disease in the early stages and preventing it from progressing is of great importance. The diagnosis of Alzheimer's disease (AD) requires a variety of medical tests, which leads to huge amounts of multivariate heterogeneous data. It can be difficult and exhausting to manually compare, visualize, and analyze this data due to the heterogeneous nature of medical tests; therefore, an efficient approach for accurate prediction of the condition of the brain through the classification of magnetic resonance imaging (MRI) images is greatly beneficial and yet very challenging. In this paper, a novel approach is proposed for the diagnosis of very early stages of AD through an efficient classification of brain MRI images, which uses label propagation in a manifold-based semi-supervised learning framework. We first apply voxel morphometry analysis to extract some of the most critical AD-related features of brain images from the original MRI volumes and also gray matter (GM) segmentation volumes. The features must capture the most discriminative properties that vary between a healthy and Alzheimer-affected brain. Next, we perform a principal component analysis (PCA)-based dimension reduction on the extracted features for faster yet sufficiently accurate analysis. To make the best use of the captured features, we present a hybrid manifold learning framework which embeds the feature vectors in a subspace. Next, using a small set of labeled training data, we apply a label propagation method in the created manifold space to predict the labels of the remaining images and classify them in the two groups of mild Alzheimer's and normal condition (MCI/NC). The accuracy of the classification using the proposed method is 93

Early diagnosis of rheumatic diseases: an evaluation of the present situation and proposed changes

PubMed Central

Raciborski, Filip; Kłak, Anna; Maślińska, Maria; Gryglewicz, Jerzy

2015-01-01

Musculoskeletal pain is a very common complaint, affecting 30–40% of the European population. It is estimated that approximately 400,000 Poles suffer from inflammatory rheumatic diseases, such as rheumatoid arthritis, ankylosing spondylitis and psoriatic arthritis, and a vast majority of those affected are working-age individuals. Patients with suspected arthritis require prompt diagnosis and treatment, as any delays may result in irreversible joint destruction and disability. Currently in Poland, the lag time between the onset of symptoms and diagnosis is, on average, as much as 35 weeks. In this paper, we review the current state of specialist rheumatology care in Poland and propose a reorganised care model that includes early diagnosis of inflammatory arthritis. The main goal we wish to achieve with our reorganised model is to enhance access to outpatient specialist rheumatology care for patients with suspected arthritis. We believe that our model should make it possible to considerably reduce the lag time between GP referral and the diagnosis and treatment by a rheumatologist to as little as 3 to 4 weeks. This article provides a proposal of changes that would achieve this goal and is a summary of the report published by the Institute of Rheumatology in September 2014. PMID:27407218

Automatic glaucoma diagnosis through medical imaging informatics.

PubMed

Liu, Jiang; Zhang, Zhuo; Wong, Damon Wing Kee; Xu, Yanwu; Yin, Fengshou; Cheng, Jun; Tan, Ngan Meng; Kwoh, Chee Keong; Xu, Dong; Tham, Yih Chung; Aung, Tin; Wong, Tien Yin

2013-01-01

Computer-aided diagnosis for screening utilizes computer-based analytical methodologies to process patient information. Glaucoma is the leading irreversible cause of blindness. Due to the lack of an effective and standard screening practice, more than 50% of the cases are undiagnosed, which prevents the early treatment of the disease. To design an automatic glaucoma diagnosis architecture automatic glaucoma diagnosis through medical imaging informatics (AGLAIA-MII) that combines patient personal data, medical retinal fundus image, and patient's genome information for screening. 2258 cases from a population study were used to evaluate the screening software. These cases were attributed with patient personal data, retinal images and quality controlled genome data. Utilizing the multiple kernel learning-based classifier, AGLAIA-MII, combined patient personal data, major image features, and important genome single nucleotide polymorphism (SNP) features. Receiver operating characteristic curves were plotted to compare AGLAIA-MII's performance with classifiers using patient personal data, images, and genome SNP separately. AGLAIA-MII was able to achieve an area under curve value of 0.866, better than 0.551, 0.722 and 0.810 by the individual personal data, image and genome information components, respectively. AGLAIA-MII also demonstrated a substantial improvement over the current glaucoma screening approach based on intraocular pressure. AGLAIA-MII demonstrates for the first time the capability of integrating patients' personal data, medical retinal image and genome information for automatic glaucoma diagnosis and screening in a large dataset from a population study. It paves the way for a holistic approach for automatic objective glaucoma diagnosis and screening.

Early Diagnosis of Breast Cancer.

PubMed

Wang, Lulu

2017-07-05

Early-stage cancer detection could reduce breast cancer death rates significantly in the long-term. The most critical point for best prognosis is to identify early-stage cancer cells. Investigators have studied many breast diagnostic approaches, including mammography, magnetic resonance imaging, ultrasound, computerized tomography, positron emission tomography and biopsy. However, these techniques have some limitations such as being expensive, time consuming and not suitable for young women. Developing a high-sensitive and rapid early-stage breast cancer diagnostic method is urgent. In recent years, investigators have paid their attention in the development of biosensors to detect breast cancer using different biomarkers. Apart from biosensors and biomarkers, microwave imaging techniques have also been intensely studied as a promising diagnostic tool for rapid and cost-effective early-stage breast cancer detection. This paper aims to provide an overview on recent important achievements in breast screening methods (particularly on microwave imaging) and breast biomarkers along with biosensors for rapidly diagnosing breast cancer.

Random plasma glucose in early pregnancy is a better predictor of gestational diabetes diagnosis than maternal obesity.

PubMed

Meek, Claire L; Murphy, Helen R; Simmons, David

2016-03-01

Asymptomatic pregnant women are screened for gestational diabetes (GDM) at 24-28 weeks' gestation. Recent guidelines also recommend screening early in gestation to identify undiagnosed pre-existing overt diabetes. We assessed the performance of random plasma glucose (RPG) testing at antenatal booking in predicting GDM diagnosis later in pregnancy. Data from 25,543 consecutive singleton pregnancies at the Rosie Hospital in Cambridge (UK) were obtained from hospital electronic records as a service evaluation. All women were invited for an antenatal RPG (12-16 weeks) and a 50 g glucose challenge test (GCT; 24-28 weeks) with a 75 g OGTT if GCT >7.7 mmol/l (139 mg/dl). At booking, 17,736 women had an RPG that was able to predict GDM (receiver operating characteristic AUC 0.8) according to various diagnostic criteria in common use. A cut-off point of ≥7.5 mmol/l (135 mg/dl) gave a sensitivity of 0.70 and a specificity of 0.90 for GDM diagnosis. Theoretically, using this screening policy, 13.2% of women would have been categorised at high risk (26.3% had GDM) and 86.8% of women at low risk (1.7% had GDM). RPG performed better than maternal age (AUC 0.60) or BMI (AUC 0.65) at predicting GDM diagnosis. RPG at booking has reasonable performance as a screening test and is better than maternal age or BMI for identifying women at high risk of GDM. RPG cannot replace OGTT for diagnosis but it may be useful to exclude women who do not need further investigation for GDM and to identify women who could be prioritised for early diagnosis or lifestyle interventions.

Effectiveness of computer-aided diagnosis of colorectal lesions using novel software for magnifying narrow-band imaging: a pilot study.

PubMed

Tamai, Naoto; Saito, Yutaka; Sakamoto, Taku; Nakajima, Takeshi; Matsuda, Takahisa; Sumiyama, Kazuki; Tajiri, Hisao; Koyama, Ryosuke; Kido, Shoji

2017-08-01

 Magnifying narrow-band imaging (M-NBI) enables detailed observation of microvascular architecture and can be used in endoscopic diagnosis of colorectal lesion. However, in clinical practice, differential diagnosis and estimation of invasion depth of colorectal lesions based on M-NBI findings require experience. Therefore, developing computer-aided diagnosis (CAD) for M-NBI would be beneficial for clinical practice. The aim of this study was to evaluate the effectiveness of software for CAD of colorectal lesions. In collaboration with Yamaguchi University, we developed novel software that enables CAD of colorectal lesions using M-NBI images. This software for CAD further specifically divides original Sano's colorectal M-NBI classification into 3 groups (group A, capillary pattern [CP] type I; group B, CP type II + CP type IIIA; group C, CP type IIIB), which describe hyperplastic polyps (HPs), adenoma/adenocarcinoma (intramucosal [IM] to submucosal [SM]-superficial) lesions, and SM-deep lesions, respectively. We retrospectively reviewed 121 lesions evaluated using M-NBI. The 121 reviewed lesions included 21 HP, 80 adenoma/adenocarcinoma (IM to SM-superficial), and 20 SM-deep lesions. The concordance rate between the CAD and the diagnosis of the experienced endoscopists was 90.9 %. The sensitivity, specificity, positive and negative predictive values, and accuracy of the CAD for neoplastic lesions were 83.9 %, 82.6 %, 53.1 %, 95.6 %, and 82.8 %, respectively. The values for SM-deep lesions were 83.9 %, 82.6 %, 53.1 %, 95.6 %, and 82.8 %, respectively.  Relatively high diagnostic values were obtained using CAD. This software for CAD could possibly lead to a wider use of M-NBI in the endoscopic diagnosis of colorectal lesions.

Gene expression profiles reveal key genes for early diagnosis and treatment of adamantinomatous craniopharyngioma.

PubMed

Yang, Jun; Hou, Ziming; Wang, Changjiang; Wang, Hao; Zhang, Hongbing

2018-04-23

Adamantinomatous craniopharyngioma (ACP) is an aggressive brain tumor that occurs predominantly in the pediatric population. Conventional diagnosis method and standard therapy cannot treat ACPs effectively. In this paper, we aimed to identify key genes for ACP early diagnosis and treatment. Datasets GSE94349 and GSE68015 were obtained from Gene Expression Omnibus database. Consensus clustering was applied to discover the gene clusters in the expression data of GSE94349 and functional enrichment analysis was performed on gene set in each cluster. The protein-protein interaction (PPI) network was built by the Search Tool for the Retrieval of Interacting Genes, and hubs were selected. Support vector machine (SVM) model was built based on the signature genes identified from enrichment analysis and PPI network. Dataset GSE94349 was used for training and testing, and GSE68015 was used for validation. Besides, RT-qPCR analysis was performed to analyze the expression of signature genes in ACP samples compared with normal controls. Seven gene clusters were discovered in the differentially expressed genes identified from GSE94349 dataset. Enrichment analysis of each cluster identified 25 pathways that highly associated with ACP. PPI network was built and 46 hubs were determined. Twenty-five pathway-related genes that overlapped with the hubs in PPI network were used as signatures to establish the SVM diagnosis model for ACP. The prediction accuracy of SVM model for training, testing, and validation data were 94, 85, and 74%, respectively. The expression of CDH1, CCL2, ITGA2, COL8A1, COL6A2, and COL6A3 were significantly upregulated in ACP tumor samples, while CAMK2A, RIMS1, NEFL, SYT1, and STX1A were significantly downregulated, which were consistent with the differentially expressed gene analysis. SVM model is a promising classification tool for screening and early diagnosis of ACP. The ACP-related pathways and signature genes will advance our knowledge of ACP pathogenesis

“Sentinel” Circulating Tumor Cells Allow Early Diagnosis of Lung Cancer in Patients with Chronic Obstructive Pulmonary Disease

PubMed Central

Ilie, Marius; Hofman, Véronique; Long-Mira, Elodie; Selva, Eric; Vignaud, Jean-Michel; Padovani, Bernard; Mouroux, Jérôme; Marquette, Charles-Hugo; Hofman, Paul

2014-01-01

Chronic obstructive pulmonary disease (COPD) is a risk factor for lung cancer. Migration of circulating tumor cells (CTCs) into the blood stream is an early event that occurs during carcinogenesis. We aimed to examine the presence of CTCs in complement to CT-scan in COPD patients without clinically detectable lung cancer as a first step to identify a new marker for early lung cancer diagnosis. The presence of CTCs was examined by an ISET filtration-enrichment technique, for 245 subjects without cancer, including 168 (68.6%) COPD patients, and 77 subjects without COPD (31.4%), including 42 control smokers and 35 non-smoking healthy individuals. CTCs were identified by cytomorphological analysis and characterized by studying their expression of epithelial and mesenchymal markers. COPD patients were monitored annually by low-dose spiral CT. CTCs were detected in 3% of COPD patients (5 out of 168 patients). The annual surveillance of the CTC-positive COPD patients by CT-scan screening detected lung nodules 1 to 4 years after CTC detection, leading to prompt surgical resection and histopathological diagnosis of early-stage lung cancer. Follow-up of the 5 patients by CT-scan and ISET 12 month after surgery showed no tumor recurrence. CTCs detected in COPD patients had a heterogeneous expression of epithelial and mesenchymal markers, which was similar to the corresponding lung tumor phenotype. No CTCs were detected in control smoking and non-smoking healthy individuals. CTCs can be detected in patients with COPD without clinically detectable lung cancer. Monitoring “sentinel” CTC-positive COPD patients may allow early diagnosis of lung cancer. PMID:25360587

Nailfold capillaroscopy in primary biliary cirrhosis: a useful tool for the early diagnosis of scleroderma.

PubMed

Tovoli, Francesco; Granito, Alessandro; Giampaolo, Luca; Frisoni, Magda; Volta, Umberto; Fusconi, Marco; Masi, Chiara; Lenzi, Marco

2014-03-01

Primary biliary cirrhosis (PBC) is frequently associated with other autoimmune diseases, including systemic sclerosis (SSc). In the last years many efforts have been dedicated to the research of widely accepted criteria for the early diagnosis of SSc. Since studies on the prevalence of early SSc in PBC patients are lacking, our aim was to investigate its hitherto unknown prevalence in a large cohort of PBC patients. We studied 80 PBC patients and 72 patients with other chronic liver diseases. Diagnostic workup included research into signs of connective tissue disease, determination of autoantibody profile, and examination of capillary abnormalities through nailfold videocapillaroscopy. Ten PBC patients (12.5%) satisfied diagnostic criteria for early SSc and 5 (6.3%) had definite SSc. None of the patients in the control group were diagnosed either with early or definite SSc. No differences were observed in terms of aminotransferases, alkaline phosphatase, and liver function tests between PBC patients with and without associated SSc. Early SSc is significantly frequent in PBC patients. The detection of early SSc in PBC patients may lead to a prompt treatment of its complications, preventing inabilities and preserving the chance of liver transplantation.

[Copeptin and ischemia modified albumin in early diagnosis and prognosis of myocardial damage in acute organic phosphorus pesticide poisoning].

PubMed

Li, Jing; Zhang, Jianjun; Li, Na; Li, Jia; Liu, Juan; Liu, Qian

2015-03-01

To assess the value of combined detection of copeptin and ischemia modified albumin (IMA) in early diagnosis and prognostic evaluation of myocardial damage in patients with acute organic phosphorus pesticide poisoning (AOPP). A total of 126 AOPP patients were examined for blood copepin and IMA levels and myocardial injury markers within 1 h after admission. Copeptin and IMA levels significantly increased in patients with AOPP compared with those in the control subjects. Copeptin and IMA levels were significantly higher in severe AOPP cases than in mild to moderate cases (P<0.05). Logistic regression analysis showed that increased copeptin and IMA levels and severe complications of AOPP were associated with an increased risk of cardiovascular events. Early detection of copeptin and IMA levels has important clinical value in early diagnosis and prognostic evaluation of myocardial damage in patients with AOPP, and their levels are positively correlated with the severity of the condition.

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

Diagnosis of a case of Dandy-Walker malformation aided by measurement of the brainstem-vermis angle at 14 weeks gestation.

PubMed

Ichizuka, Kiyotake; Mishina, Miyuki; Hasegawa, Junichi; Matsuoka, Ryu; Sekizawa, Akihiko; Pooh, Ritsuko K

2015-05-01

Reported is a fetal Dandy-Walker malformation that was strongly suspected in the first trimester through measurement of the brainstem-vermis (B-V) angle, which was found to be 119° on transvaginal ultrasound examination at 14 weeks and 2 days gestation. Definitive diagnosis of the Dandy-Walker malformation was made by magnetic resonance imaging following stillbirth. Ultrasound measurement of the B-V angle may be a useful index for prenatal diagnosis of Dandy-Walker anomalies during early pregnancy. © 2014 The Authors. Journal of Obstetrics and Gynaecology Research © 2014 Japan Society of Obstetrics and Gynecology.

Decision aids for patients.

PubMed

Lenz, Matthias; Buhse, Susanne; Kasper, Jürgen; Kupfer, Ramona; Richter, Tanja; Mühlhauser, Ingrid

2012-06-01

Patients want to be more involved in medical decision-making. To this end, some decision aids are now available. We present an overview of this subject, in which we explain the terms "shared decision-making", "decision aid", and "evidence-based patient information" and survey information on the available decision aids in German and other languages on the basis of a literature search in MEDLINE, EMBASE and PsycInfo and a current Cochrane Review. We also searched the Internet for providers of decision aids in Germany. Decision aids exist in the form of brochures, decision tables, videos, and computer programs; they address various topics in the prevention, diagnosis, and treatment of disease. They typically contain information on the advantages and disadvantages of the available options, as well as guidance for personal decision-making. They can be used alone or as a part of structured counseling or patient education. Minimal quality standards include an adequate evidence base, completeness, absence of bias, and intelligibility. Our search revealed 12 randomized controlled trials (RCTs) of decision aids in German and 106 RCTs of decision aids in other languages. These trials studied the outcome of the use of decision aids not just with respect to clinical developments, but also with respect to patient knowledge, adherence to treatment regimens, satisfaction, involvement in decision-making, autonomy preference, and decisional conflicts. Only a small fraction of the available decision aids were systematically developed and have been subjected to systematic evaluation. Patients are still not receiving the help in decision-making to which medical ethics entitles them. Structures need to be put in place for the sustainable development, evaluation and implementation of high-quality decision aids.

[Application evaluation of multi-parametric MRI in the diagnosis and differential diagnosis of early prostate cancer and prostatitis].

PubMed

Li, P; Huang, Y; Li, Y; Cai, L; Ji, G H; Zheng, Y; Chen, Z Q

2016-10-11

Objective: To evaluate the value of multi-parametric MRI (Mp-MRI) in the diagnosis and differential diagnosis of early prostate cancer(PCa) in the peripheral zone(PZ) and low T 2 WI signal intensity of prostatitis. Methods: A total of 40 patients with PZ early PCa and 37 with prostatitis of hypointense T 2 WI signal in PZ were retrospectively analyzed, which were collected from the General Hospital of Ningxia Medical University from Janurary 2009 to June 2015, who underwent T 2 WI, DWI, and DCE-MRI examination and all patients were confirmed by pathology. All the data was transferred to GE Advanced Workstation AW4.3, the indexes divided into cancerous and prostatitis regions were calculated by Functool2 of signal intensity-time(SI-T) curve and ADC value, to calcuate the time to minimum(T max ), the whole enhancment degree (SI max ). ROC cure was used to determine the cutoff value for PCa detection with the ADC value. Result: On T 2 WI, 57.5% of PCa (23/40) showed focal nodular homogeneous low signal intensity, 70.3% of prostatitis(26/37) showed diffuse inhomogeneous low signal intensity. DCE-MRI, the distribution of curve types for malignant tumors was type Ⅰ 2.5%(1/40), typeⅡ32.5%(13/40) and type Ⅲ 65.0% (26/40). While the numbers for prostatitis was type Ⅰ 16.2%(6/37) , type Ⅱ 56.8% (21/37) and type Ⅲ 27.0% (10/37)respectively.The patterns of curve types in malignant lesions were different from benign lesions significantly(χ 2 =12.32, P <0.01). The mean values of T max , SI max in cancerous and prostatitis regions were (17.96±2.91)s, 1.76%±0.23% and (21.19±3.59)s, 1.53%±0.18%, respectively ( t =5.37, 6.10; P <0.01). On DWI, The mean ADC values in cancerous and prostatitis regions were (0.95±0.13)×10 -3 mm 2 /s and (1.12±0.13)×10 -3 mm 2 /s, respectively ( t =7.10, P <0.01). According to the ROC analysis, when the cutoff value was 1.01×10 -3 mm 2 /s, the early PCa of diagnostic sensitivity, specificity and accuracy was 79.1%, 72.7% and 76

Academic consortium for the evaluation of computer-aided diagnosis (CADx) in mammography

NASA Astrophysics Data System (ADS)

Mun, Seong K.; Freedman, Matthew T.; Wu, Chris Y.; Lo, Shih-Chung B.; Floyd, Carey E., Jr.; Lo, Joseph Y.; Chan, Heang-Ping; Helvie, Mark A.; Petrick, Nicholas; Sahiner, Berkman; Wei, Datong; Chakraborty, Dev P.; Clarke, Laurence P.; Kallergi, Maria; Clark, Bob; Kim, Yongmin

1995-04-01

Computer aided diagnosis (CADx) is a promising technology for the detection of breast cancer in screening mammography. A number of different approaches have been developed for CADx research that have achieved significant levels of performance. Research teams now recognize the need for a careful and detailed evaluation study of approaches to accelerate the development of CADx, to make CADx more clinically relevant and to optimize the CADx algorithms based on unbiased evaluations. The results of such a comparative study may provide each of the participating teams with new insights into the optimization of their individual CADx algorithms. This consortium of experienced CADx researchers is working as a group to compare results of the algorithms and to optimize the performance of CADx algorithms by learning from each other. Each institution will be contributing an equal number of cases that will be collected under a standard protocol for case selection, truth determination, and data acquisition to establish a common and unbiased database for the evaluation study. An evaluation procedure for the comparison studies are being developed to analyze the results of individual algorithms for each of the test cases in the common database. Optimization of individual CADx algorithms can be made based on the comparison studies. The consortium effort is expected to accelerate the eventual clinical implementation of CADx algorithms at participating institutions.

AIDS wars.

PubMed

Several evidences were presented during the meeting in London entitled "Origins of AIDS and the HIV epidemic," debating the idea that AIDS was an accidental result of a polio vaccination campaign conducted by a virologist, Hilary Koprowski, and colleagues in the late 1950s among thousands of people in the Belgian Congo. The meeting carefully examined the CHAT theory presented by a writer, Edward Hooper, in his book "The River" and has raised questions on the correlation between vaccination sites and early records of HIV-1, and on the estimated amount of HIV particles that would get through each stage of the process of creating CHAT. Overall, the meeting agreed to reject the CHAT theory of AIDS for it has no basis, since Koprowski and colleagues denied the use of chimpanzee kidneys, which Hooper openly suggests in his book. The meeting noted that the disease's origins remain a mystery.

[Clinical skills and outcomes of chair-side computer aided design and computer aided manufacture system].

PubMed

Yu, Q

2018-04-09

Computer aided design and computer aided manufacture (CAD/CAM) technology is a kind of oral digital system which is applied to clinical diagnosis and treatment. It overturns the traditional pattern, and provides a solution to restore defect tooth quickly and efficiently. In this paper we mainly discuss the clinical skills of chair-side CAD/CAM system, including tooth preparation, digital impression, the three-dimensional design of prosthesis, numerical control machining, clinical bonding and so on, and review the outcomes of several common kinds of materials at the same time.

The significance of fluorescein angiography in the early diagnosis of lesions on ocular fundus at pseudoxanthoma elasticum patients.

PubMed

Bogdanowski, T; Gluza, J; Rasiewicz, D

1977-05-27

The role of fluorescein angiography in early diagnosis of lesions on fundus of the eye at pseudoxanthoma elasticum patients has been shown. The authors show angiographic changes on the basis of three cases of pseudoxanthoma elasticum patients.

Expression of AID, P53, and Mlh1 proteins in endoscopically resected differentiated-type early gastric cancer

PubMed Central

Takeda, Yohei; Yashima, Kazuo; Hayashi, Akihiro; Sasaki, Shuji; Kawaguchi, Koichiro; Harada, Kenichi; Murawaki, Yoshikazu; Ito, Hisao

2012-01-01

AIM: To analyze the expression of the tumor-related proteins in differentiated-type early gastric carcinoma (DEGC) samples. METHODS: Tumor specimens were obtained from 102 patients (75 males and 27 females) who had received an endoscopic tumor resection at Tottori University Hospital between 2007 and 2009. Ninety-one cancer samples corresponded to noninvasive or intramucosal carcinoma according to the Vienna classification system, and 11 samples were submucosal invasive carcinomas. All of the EGCs were histologically differentiated carcinomas. All patients were classified as having Helicobacter pylori (H. pylori) infections by endoscopic atrophic changes or by testing seropositive for H. pylori IgG. All of the samples were histopathologically classified as either tubular or papillary adenocarcinoma according to their structure. The immunohistochemical staining was performed in a blinded manner with respect to the clinical information. Two independent observers evaluated protein expression. All data were statistically analyzed then. RESULTS: The rates of aberrant activation-induced cytidine deaminase (AID) expression and P53 overexpression were both 34.3% in DEGCs. The expression of Mlh1 was lost in 18.6% of DEGCs. Aberrant AID expression was not significantly associated with P53 overexpression in DEGCs. However, AID expression was associated with the severity of mononuclear cell activity in the non-cancerous mucosa adjacent to the tumor (P = 0.064). The rate of P53 expression was significantly greater in flat or depressed tumors than in elevated tumors. The frequency of Mlh1 loss was significantly increased in distal tumors, elevated gross-type tumors, papillary histological-type tumors, and tumors with a severe degree of endoscopic atrophic gastritis (P < 0.05). CONCLUSION: Aberrant AID expression, P53 overexpression, and the loss of Mlh1 were all associated with clinicopathological features and gastric mucosal alterations in DEGCs. The aberrant expression of AID

Is AIDS a floating point between HIV seroconversion and death? Insights from the Tricontinental Seroconverter Study.

PubMed

van Benthem, B H; Veugelers, P J; Cornelisse, P G; Strathdee, S A; Kaldor, J M; Shafer, K A; Coutinho, R A; van Griensven, G J

1998-06-18

To investigate the significance of the time from seroconversion to AIDS (incubation time) and other covariates for survival from AIDS to death. In survival analysis, survival from AIDS to death was compared for different categories of length of incubation time adjusted and unadjusted for other covariates, and significant predictors for survival from AIDS to death were investigated. Survival after AIDS was not affected by the incubation time in univariate as well as in multivariate analyses. Predictive factors for progression from AIDS to death were age at seroconversion, type of AIDS diagnosis, and CD4 cell count at AIDS. The relative hazard for age at seroconversion increased 1.38-fold over 10 years. Men with a CD4 cell count at AIDS of <130 x 10(6)/l had a twofold higher risk in progression to death than men with higher CD4 cell counts. Persons diagnosed with lymphoma had a sixfold higher risk of progression to death than persons with Kaposi's sarcoma or opportunistic infections. The incubation time as well as other factors before AIDS did not affect survival after AIDS. Survival from AIDS to death can be predicted by data obtained at the time of AIDS diagnosis, such as type of diagnosis, age and CD4 cell count. AIDS seems to be a significant point in progression to death, and not just a floating point between infection and death affected by prior factors for persons who did not receive effective therapy and did not have long incubation times.

Nurses' Attitudes toward Gay and Hemophiliac Patients with AIDS.

ERIC Educational Resources Information Center

Strasser, Judith A.; Damrosch, Shirley

A sample of nurses (N=183) enrolled in a School of Nursing's master degree program was randomly assigned to read one of six vignettes about a patient who differed only in terms of diagnosis and lifestyle. Possible diagnoses were Acquired Immune Deficiency Syndrome (AIDS), AIDS acquired by a hemophiliac through blood therapy, and leukemia; possible…

[Esophageal pathology in patients with the AIDS virus. Etiology and diagnosis].

PubMed

Varsky, C G; Yahni, V D; Freire, M C; Patrizio, E; Balbo, V; Benetucci, J; Boffi, A; Mattoni, R A; Luis; Alicia, M

1991-01-01

From 180 patients infected with human immunodeficiency virus (HIV) and followed-up for one year, 17 cases (9.44%) were referred to detect oesophageal pathology. They were prospectively analyzed through fibroscopy, radiology, biopsies for histopathology, virology and mycology and brush cytology. Most frequent symptoms were dysphagia. Odynophagia and retrosternal pain, usually associated, and not providing an accurate diagnostic clue. The most common causes of symptoms were oesophageal candidiasis (47.70%), and herpetic ulcers (23.52%) caused by herpes simplex virus (HSV) type 2. Reflux pathology was also found (11.76%). Cytomegalovirus, other opportunistic infections and tumors were not detected. Seven (64%) of the eleven patients with oesophageal candidiasis also had oral involvement. Four (66%) of six oesophageal ulcers were herpetic; two of them (50%) showed oral ulcers too, and one (25%) had perioral herpetic blisters. Almost in every case endoscopic features allowed diagnosis. Endoscopy in candidiasis showed isolated or confluent white plaques of variable grade. Herpetic ulcers, alone or multiple, were deep with slightly elevated borders. Radiology yielded a poor diagnostic profit (50%), specially in case of multiple lesions. Cytology was highly specific and sensitive (both 90.9%) and suggested viral etiology in 100% of HSV patients. Histopathology was less sensitive than endoscopy and cytology (73% in candida and one HSV non-ulcer case). Both, cytology and histopathology showed koilocytosis in herpetic virus infected patients. The studies performed allowed to change the HIV disease stage in ten patients (62.5%) and to diagnose AIDS in seven (43.75%). In every case medical behavior was oriented or changed by these studies.

Screening and validation of serum protein biomarkers for early postmenopausal osteoporosis diagnosis.

PubMed

Wang, Long; Hu, Ya-Qian; Zhao, Zhuo-Jie; Zhang, Hong-Yang; Gao, Bo; Lu, Wei-Guang; Xu, Xiao-Long; Lin, Xi-Sheng; Wang, Jin-Peng; Jie, Qiang; Luo, Zhuo-Jing; Yang, Liu

2017-12-01

Postmenopausal osteoporosis is one of the most prominent worldwide public health problems and the morbidity is increasing with the aging population. It has been demonstrated that early diagnosis and intervention delay the disease progression and improve the outcome. Therefore, searching for biomarkers that are able to identify postmenopausal women at high risk for developing osteoporosis is an effective way to improve the quality of life of patients, and alleviate social and economic burdens. In the present study, a protein array was used to identify potential biomarkers. The bone mineral densities of 10 rats were dynamically measured in an ovariectomized model by micro‑computed tomography assessment, and the early stage of osteoporosis was defined. Through the protein array‑based screening, the expression levels of six serum protein biomarkers in ovariectomized rats were observed to alter at the initiation stage of the postmenopausal osteoporosis. Fractalkine, tissue inhibitor of metalloproteinases‑1 and monocyte chemotactic protein‑1 were finally demonstrated to be increased in the serum of eight enrolled postmenopausal osteoporosis patients using ELISA assay and were correlated with the severity of progressive bone loss. These biomarkers may be explored as potential early biomarkers to readily evaluate and diagnose postmenopausal osteoporosis in the clinic.

A new 3D texture feature based computer-aided diagnosis approach to differentiate pulmonary nodules

NASA Astrophysics Data System (ADS)

Han, Fangfang; Wang, Huafeng; Song, Bowen; Zhang, Guopeng; Lu, Hongbing; Moore, William; Zhao, Hong; Liang, Zhengrong

2013-02-01

To distinguish malignant pulmonary nodules from benign ones is of much importance in computer-aided diagnosis of lung diseases. Compared to many previous methods which are based on shape or growth assessing of nodules, this proposed three-dimensional (3D) texture feature based approach extracted fifty kinds of 3D textural features from gray level, gradient and curvature co-occurrence matrix, and more derivatives of the volume data of the nodules. To evaluate the presented approach, the Lung Image Database Consortium public database was downloaded. Each case of the database contains an annotation file, which indicates the diagnosis results from up to four radiologists. In order to relieve partial-volume effect, interpolation process was carried out to those volume data with image slice thickness more than 1mm, and thus we had categorized the downloaded datasets to five groups to validate the proposed approach, one group of thickness less than 1mm, two types of thickness range from 1mm to 1.25mm and greater than 1.25mm (each type contains two groups, one with interpolation and the other without). Since support vector machine is based on statistical learning theory and aims to learn for predicting future data, so it was chosen as the classifier to perform the differentiation task. The measure on the performance was based on the area under the curve (AUC) of Receiver Operating Characteristics. From 284 nodules (122 malignant and 162 benign ones), the validation experiments reported a mean of 0.9051 and standard deviation of 0.0397 for the AUC value on average over 100 randomizations.

[Usefulness of serological studies for the early diagnosis of Lyme disease in Primary Health Care Centres].

PubMed

Vázquez-López, María Esther; Fernández, Gonzalo; Díaz, Pablo; Díez-Morrondo, Carolina; Pego-Reigosa, Robustiano; Coira-Nieto, Amparo

2018-01-01

The main aim of this study was to determine the usefulness of an early diagnosis of Lyme disease (LD) in Primary Health Care Centres (PHCC) using the ELISA test as serological screening technique. A retrospective study (2006-2013) was performed in order to determine the anti-Borrelia seropositivity in 2,842 people at risk of having LD. The possible relationship between the environment and the area of residence with anti-Borrelia seropositivity was also studied according to the origin of the specimens (PHCC/Hospital). Overall, 15.2% of samples were positive to Borrelia spp. Seropositivity was significantly higher in samples sent by PHCC doctors than those sent by Hospital doctors. Seropositivity was significantly higher in rural than in urban populations and in those who live in mountainous or flat areas. The percentage of seropositivity has increased over the years. The role of the PHCC doctor is essential for achieving an early diagnosis of Lyme disease, as a higher percentage of seropositives was detected in samples submitted from PHCC. Furthermore, most early localised LD patients were diagnosed in PHCC, avoiding the appearance of sequelae. Therefore, detection of Borrelia specific antibodies using an ELISA assay is a useful screening test for patients at risk of LD. Copyright © 2017 Elsevier España, S.L.U. All rights reserved.

The 2013 Frank Stinchfield Award: Diagnosis of infection in the early postoperative period after total hip arthroplasty.

PubMed

Yi, Paul H; Cross, Michael B; Moric, Mario; Sporer, Scott M; Berger, Richard A; Della Valle, Craig J

2014-02-01

Diagnosis of periprosthetic joint infection (PJI) can be difficult in the early postoperative period after total hip arthroplasty (THA) because normal cues from the physical examination often are unreliable, and serological markers commonly used for diagnosis are elevated from the recent surgery. The purposes of this study were to determine the optimal cutoff values for erythrocyte sedimentation rate (ESR), C-reactive protein (CRP), synovial fluid white blood cell (WBC) count, and differential for diagnosing PJI in the early postoperative period after primary THA. We reviewed 6033 consecutive primary THAs and identified 73 patients (1.2%) who underwent reoperation for any reason within the first 6 weeks postoperatively. Thirty-six of these patients were infected according to modified Musculoskeletal Infection Society criteria. Mean values for the diagnostic tests were compared between groups and receiver operating characteristic curves generated along with an area under the curve (AUC) to determine test performance and optimal cutoff values to diagnose infection. The best test for the diagnosis of PJI was the synovial fluid WBC count (AUC = 98%; optimal cutoff value 12,800 cells/μL) followed by the CRP (AUC = 93%; optimal cutoff value 93 mg/L), and synovial fluid differential (AUC = 91%; optimal cutoff value 89% PMN). The mean ESR (infected = 69 mm/hr, not infected = 46 mm/hr), CRP (infected = 192 mg/L, not infected = 30 mg/L), synovial fluid WBC count (infected = 84,954 cells/μL, not infected = 2391 cells/μL), and differential (infected = 91% polymorphonuclear cells [PMN], not infected = 63% PMN) all were significantly higher in the infected group. Optimal cutoff values for the diagnosis of PJI in the acute postoperative period were higher than those traditionally used for the diagnosis of chronic PJI. The serum CRP is an excellent screening test, whereas the synovial fluid WBC count is more specific.

Laboratory Diagnosis of Infective Endocarditis

PubMed Central

Liesman, Rachael M.; Pritt, Bobbi S.; Maleszewski, Joseph J.

2017-01-01

ABSTRACT Infective endocarditis is life-threatening; identification of the underlying etiology informs optimized individual patient management. Changing epidemiology, advances in blood culture techniques, and new diagnostics guide the application of laboratory testing for diagnosis of endocarditis. Blood cultures remain the standard test for microbial diagnosis, with directed serological testing (i.e., Q fever serology, Bartonella serology) in culture-negative cases. Histopathology and molecular diagnostics (e.g., 16S rRNA gene PCR/sequencing, Tropheryma whipplei PCR) may be applied to resected valves to aid in diagnosis. Herein, we summarize recent knowledge in this area and propose a microbiologic and pathological algorithm for endocarditis diagnosis. PMID:28659319

Cost-Effectiveness of Magnetic Resonance Imaging with a New Contrast Agent for the Early Diagnosis of Alzheimer's Disease

PubMed Central

Biasutti, Maria; Dufour, Natacha; Ferroud, Clotilde; Dab, William; Temime, Laura

2012-01-01

Background Used as contrast agents for brain magnetic resonance imaging (MRI), markers for beta-amyloid deposits might allow early diagnosis of Alzheimer's disease (AD). We evaluated the cost-effectiveness of such a diagnostic test, MRI+CLP (contrastophore-linker-pharmacophore), should it become clinically available. Methodology/Principal Findings We compared the cost-effectiveness of MRI+CLP to that of standard diagnosis using currently available cognition tests and of standard MRI, and investigated the impact of a hypothetical treatment efficient in early AD. The primary analysis was based on the current French context for 70-year-old patients with Mild Cognitive Impairment (MCI). In alternative “screen and treat” scenarios, we analyzed the consequences of systematic screenings of over-60 individuals (either population-wide or restricted to the ApoE4 genotype population). We used a Markov model of AD progression; model parameters, as well as incurred costs and quality-of-life weights in France were taken from the literature. We performed univariate and probabilistic multivariate sensitivity analyses. The base-case preferred strategy was the standard MRI diagnosis strategy. In the primary analysis however, MRI+CLP could become the preferred strategy under a wide array of scenarios involving lower cost and/or higher sensitivity or specificity. By contrast, in the “screen and treat” analyses, the probability of MRI+CLP becoming the preferred strategy remained lower than 5%. Conclusions/Significance It is thought that anti-beta-amyloid compounds might halt the development of dementia in early stage patients. This study suggests that, even should such treatments become available, systematically screening the over-60 population for AD would only become cost-effective with highly specific tests able to diagnose early stages of the disease. However, offering a new diagnostic test based on beta-amyloid markers to elderly patients with MCI might prove cost

Cost-effectiveness of magnetic resonance imaging with a new contrast agent for the early diagnosis of Alzheimer's disease.

PubMed

Biasutti, Maria; Dufour, Natacha; Ferroud, Clotilde; Dab, William; Temime, Laura

2012-01-01

Used as contrast agents for brain magnetic resonance imaging (MRI), markers for beta-amyloid deposits might allow early diagnosis of Alzheimer's disease (AD). We evaluated the cost-effectiveness of such a diagnostic test, MRI+CLP (contrastophore-linker-pharmacophore), should it become clinically available. We compared the cost-effectiveness of MRI+CLP to that of standard diagnosis using currently available cognition tests and of standard MRI, and investigated the impact of a hypothetical treatment efficient in early AD. The primary analysis was based on the current French context for 70-year-old patients with Mild Cognitive Impairment (MCI). In alternative "screen and treat" scenarios, we analyzed the consequences of systematic screenings of over-60 individuals (either population-wide or restricted to the ApoE4 genotype population). We used a Markov model of AD progression; model parameters, as well as incurred costs and quality-of-life weights in France were taken from the literature. We performed univariate and probabilistic multivariate sensitivity analyses. The base-case preferred strategy was the standard MRI diagnosis strategy. In the primary analysis however, MRI+CLP could become the preferred strategy under a wide array of scenarios involving lower cost and/or higher sensitivity or specificity. By contrast, in the "screen and treat" analyses, the probability of MRI+CLP becoming the preferred strategy remained lower than 5%. It is thought that anti-beta-amyloid compounds might halt the development of dementia in early stage patients. This study suggests that, even should such treatments become available, systematically screening the over-60 population for AD would only become cost-effective with highly specific tests able to diagnose early stages of the disease. However, offering a new diagnostic test based on beta-amyloid markers to elderly patients with MCI might prove cost-effective.

Study of Aided Diagnosis of Hepatic Carcinoma Based on Artificial Neural Network Combined with Tumor Marker Group

NASA Astrophysics Data System (ADS)

Tan, Shanjuan; Feng, Feifei; Wu, Yongjun; Wu, Yiming

To develop a computer-aided diagnostic scheme by using an artificial neural network (ANN) combined with tumor markers for diagnosis of hepatic carcinoma (HCC) as a clinical assistant method. 140 serum samples (50 malignant, 40 benign and 50 normal) were analyzed for α-fetoprotein (AFP), carbohydrate antigen 125 (CA125), carcinoembryonic antigen (CEA), sialic acid (SA) and calcium (Ca). The five tumor marker values were then used as ANN inputs data. The result of ANN was compared with that of discriminant analysis by receiver operating characteristic (ROC) curve (AUC) analysis. The diagnostic accuracy of ANN and discriminant analysis among all samples of the test group was 95.5% and 79.3%, respectively. Analysis of multiple tumor markers based on ANN may be a better choice than the traditional statistical methods for differentiating HCC from benign or normal.

Counselors and Mentors Handbook on Federal Student Aid: A Guide for Those Advising Students about Financial Aid for Postsecondary Education. 2009-10

ERIC Educational Resources Information Center

US Department of Education, 2008

2008-01-01

Many students are unaware that they might be eligible for financial aid to attend college or trade school. High school, TRIO, and GEAR UP (Gaining Early Awareness and Readiness for Undergraduate Programs) counselors are an important source of information about financial aid from private, school, state, and federal student aid programs. This…

Early diagnosis of tongue malignancy using laser induced fluorescence spectroscopy technique

NASA Astrophysics Data System (ADS)

Patil, Ajeetkumar; Unnikrishnan V., K.; Ongole, Ravikiran; Pai, Keerthilatha M.; Kartha, V. B.; Chidangil, Santhosh

2015-07-01

Oral cancer together with pharyngeal cancer is the sixth most common malignancy reported worldwide and one with high mortality ratio among all malignancies [1]. Worldwide 450,000 new cases are estimated in 2014[2]. About 90% are a type of cancer called squamous cell carcinoma (SCC). SCC of the tongue is the most common oral malignancy accounting for approximately 40% of all oral carcinomas. One of the important factors for successful therapy of any malignancy is early diagnosis. Although considerable progress has been made in understanding the cellular and molecular mechanisms of tumorigenesis, lack of reliable diagnostic methods for early detection leading to delay in therapy is an important factor responsible for the increase in the mortality rate in various types of cancers. Spectroscopy techniques are extremely sensitive for the analysis of biochemical changes in cellular systems. These techniques can provide a valuable information on alterations that occur during the development of cancer. This is especially important in oral cancer, where "tumor detection is complicated by a tendency towards field cancerization, leading to multi-centric lesions" and "current techniques detect malignant change too late" [3], and "biopsies are not representative of the whole premalignant lesion". [4

Procalcitonin for the early diagnosis of sepsis in burn patients: A retrospective study.

PubMed

Cabral, Luís; Afreixo, Vera; Santos, Filipe; Almeida, Luís; Paiva, José Artur

2017-11-01

The gold standard for sepsis diagnosis in burn patient still relies on microbiological cultures, which take 48-72h to provide results, delaying the start of antimicrobial therapy. Thus, biomarkers allowing an earlier sepsis diagnosis in burn patients are needed. This retrospective observational study included 150 burn patients with total burned surface area ≥15%. Clinical diagnosis of sepsis among these patients was done according to the American Burn Association criteria. Biomarker (procalcitonin, white blood cells and platelet countings, prothrombinemia, D-dimers, C-reactive protein, blood lactate and temperature) values were available for 48 patients without sepsis (2767 timepoints) and 102 patients with sepsis (652 timepoints). Quantitative variables were compared with Mann-Whitney tests and qualitative variables were compared with Pearson chi-square test. Effect size was measured by the probability of superiority. Receiver operating characteristic (ROC) curves evaluate capacity for sepsis diagnosis. Sensitivity, specificity, positive and negative predictive values were calculated for some cut-off values, including the best cut-off defined by the maximum of Youden index. Statistically significant differences between the groups of septic and non-septic patients, with medium to large effect size, were detected for all the biomarkers considered, except temperature. PCT was the biomarker with the largest AUC and effect size (AUC=0.71). Analysis of the PCT ROC curve showed that 0.5ng/mL cut-off presented highest sensitivity and lowest specificity, whereas 1.5ng/mL cut-off was associated with lowest sensitivity and highest specificity. Procalcitonin showed to be the best of the biomarkers studied for an early diagnosis of sepsis. Its use should be considered in antimicrobial stewardship programs in Burn Units. Copyright © 2017 Elsevier Ltd and ISBI. All rights reserved.

Conventional early infant diagnosis in Lesotho from specimen collection to results usage to manage patients: Where are the bottlenecks?

PubMed Central

Hoffman, Heather J.; Isavwa, Anthony; Mokone, Mafusi; Foso, Matokelo; Safrit, Jeffrey T.; Mofenson, Lynne M.; Tylleskär, Thorkild

2017-01-01

Introduction Early infant diagnosis is an important step in identifying children infected with HIV during the perinatal period or in utero. Multiple factors contribute to delayed antiretroviral treatment initiation for HIV-infected children, including delays in the early infant HIV diagnosis cascade. Methods We conducted a retrospective study to evaluate early infant diagnosis turnaround times in Lesotho. Trained staff reviewed records of HIV-exposed infants (aged-6-8 weeks) who received an HIV test during 2011. Study sites were drawn from Highlands, Foothills and Lowlands regions of Lesotho. Central laboratory database data were linked to facility and laboratory register information. Turnaround time geometric means (with 95% CI) were calculated and compared by region using linear mixed models. Results 1,187 individual infant records from 25 facilities were reviewed. Overall, early infant diagnosis turnaround time was 61.7 days (95%CI: 55.3–68.7). Mean time from specimen collection to district laboratory was 14 days (95%CI: 12.1–16.1); from district to central laboratory, 2 days (95%CI 0.8–5.2); results from central laboratory to district hospital, 23.3 days (95%CI: 18.7–29.0); from district hospital to health facility, 3.2 days (95%CI 1.9–5.5); and from health facility to caregiver, 10.4 days (95%CI, 7.9–13.5). Mean times from specimen transfer to the central laboratory and for result transfer from central laboratory to district hospital were significantly shorter in the Lowlands Region (0.9 and 16.2 days, respectively), compared to Highlands Region (6.0 [P = 0.030] and 34.3 days [P = 0.0099]. Turnaround time from blood draw to receipt of results was significantly shorter for HIV infected infants compared to HIV uninfected infants [p = 0.0036] at an average of 47.1 days (95%CI: 38.9–56.9) and 62 days (95%CI: 55.9–68.7) respectively. Of 47 HIV-infected infants, 36 were initiated on antiretroviral therapy at an average of 1.3 days (95%CI: 0.3, 5

Fiber optic probe enabled by surface-enhanced Raman scattering for early diagnosis of potential acute rejection of kidney transplant

NASA Astrophysics Data System (ADS)

Chi, Jingmao; Chen, Hui; Tolias, Peter; Du, Henry

2014-06-01

We have explored the use of a fiber-optic probe with surface-enhanced Raman scattering (SERS) sensing modality for early, noninvasive and, rapid diagnosis of potential renal acute rejection (AR) and other renal graft dysfunction of kidney transplant patients. Multimode silica optical fiber immobilized with colloidal Ag nanoparticles at the distal end was used for SERS measurements of as-collected urine samples at 632.8 nm excitation wavelength. All patients with abnormal renal graft function (3 AR episodes and 2 graft failure episodes) who were clinically diagnosed independently show common unique SERS spectral features in the urines collected just one day after transplant. SERS-based fiber-optic probe has excellent potential to be a bedside tool for early diagnosis of kidney transplant patients for timely medical intervention of patients at high risk of transplant dysfunction.

Cost-Effectiveness of Early Infant HIV Diagnosis of HIV-Exposed Infants and Immediate Antiretroviral Therapy in HIV-Infected Children under 24 Months in Thailand

PubMed Central

Collins, Intira Jeannie; Cairns, John; Ngo-Giang-Huong, Nicole; Sirirungsi, Wasna; Leechanachai, Pranee; Le Coeur, Sophie; Samleerat, Tanawan; Kamonpakorn, Nareerat; Mekmullica, Jutarat; Jourdain, Gonzague; Lallemant, Marc

2014-01-01

Background HIV-infected infants have high risk of death in the first two years of life if untreated. WHO guidelines recommend early infant HIV diagnosis (EID) of all HIV-exposed infants and immediate antiretroviral therapy (ART) in HIV-infected children under 24-months. We assessed the cost-effectiveness of this strategy in HIV-exposed non-breastfed children in Thailand. Methods A decision analytic model of HIV diagnosis and disease progression compared: EID using DNA PCR with immediate ART (Early-Early); or EID with deferred ART based on immune/clinical criteria (Early-Late); vs. clinical/serology based diagnosis and deferred ART (Reference). The model was populated with survival and cost data from a Thai observational cohort and the literature. Incremental cost-effectiveness ratio per life-year gained (LYG) was compared against the Reference strategy. Costs and outcomes were discounted at 3%. Results Mean discounted life expectancy of HIV-infected children increased from 13.3 years in the Reference strategy to 14.3 in the Early-Late and 17.8 years in Early-Early strategies. The mean discounted lifetime cost was $17,335, $22,583 and $29,108, respectively. The cost-effectiveness ratio of Early-Late and Early-Early strategies was $5,149 and $2,615 per LYG, respectively as compared to the Reference strategy. The Early-Early strategy was most cost-effective at approximately half the domestic product per capita per LYG ($4,420 in Thailand 2011). The results were robust in deterministic and probabilistic sensitivity analyses including varying perinatal transmission rates. Conclusion In Thailand, EID and immediate ART would lead to major survival benefits and is cost- effective. These findings strongly support the adoption of WHO recommendations as routine care. PMID:24632750

[Early diagnosis of Hansen disease: study of the health services in Recife (Pernambuco), Brazil].

PubMed

Feliciano, K V; Kovacs, M H; Alzate, A

1998-07-01

This paper presents the results of a descriptive study carried out in the city of Recife, state of Pernambuco, Brazil, between March and September 1994. The study aimed at health services available for performing early diagnosis of Hansen's disease with emphasis on accessibility and quality of the services provided. The sample consisted of 32 health clinics visited for diagnostic purposes by 183 patients with Hansen's disease. Information on organizational infrastructures was collected by means of interviews with health clinic managers. Information regarding routine procedures in the 32 clinics was collected by observation, with special attention given to archival and inspection activities. A total of 1,998 patients were interviewed to determine accessibility of services. Time spent in consultation with the physician was determined for 1,000 patients who were seen by 123 physicians at the clinics during the interviews. To explore physicians' attitude and knowledge regarding Hansen's disease, 133 were randomly selected from a list of names. The following factors were identified as hindering early diagnosis of Hansen's disease: the large number of people seeking service who could not be seen by a physician on the same day; the long time elapsed between appointment scheduling and the actual visit (for those not seen on the same day); the long wait for the consultation; the brevity of the consultation; the low availability of trained personnel; the low proportion of physicians who examined all body surfaces; difficulties in the clinical recognition of the disease; and physicians not prepared to make a differential diagnosis. These obstacles can precipitate the physical deterioration of Hansen's disease patients and stimulate the persistence of transmissibility; therefore, they need to be overcome if Hansen's disease is to be eliminated.

Computer-aided diagnostic detection system of venous beading in retinal images

NASA Astrophysics Data System (ADS)

Yang, Ching-Wen; Ma, DyeJyun; Chao, ShuennChing; Wang, ChuinMu; Wen, Chia-Hsien; Lo, ChienShun; Chung, Pau-Choo; Chang, Chein-I.

2000-05-01

The detection of venous beading in retinal images provides an early sign of diabetic retinopathy and plays an important role as a preprocessing step in diagnosing ocular diseases. We present a computer-aided diagnostic system to automatically detect venous beading of blood vessels. It comprises of two modules, referred to as the blood vessel extraction module and the venus beading detection module. The former uses a bell-shaped Gaussian kernel with 12 azimuths to extract blood vessels while the latter applies a neural network-based shape cognitron to detect venous beading among the extracted blood vessels for diagnosis. Both modules are fully computer-automated. To evaluate the proposed system, 61 retinal images (32 beaded and 29 normal images) are used for performance evaluation.

Cell Cycle Regulates Nuclear Stability of AID and Determines the Cellular Response to AID

PubMed Central

Le, Quy; Maizels, Nancy

2015-01-01

AID (Activation Induced Deaminase) deaminates cytosines in DNA to initiate immunoglobulin gene diversification and to reprogram CpG methylation in early development. AID is potentially highly mutagenic, and it causes genomic instability evident as translocations in B cell malignancies. Here we show that AID is cell cycle regulated. By high content screening microscopy, we demonstrate that AID undergoes nuclear degradation more slowly in G1 phase than in S or G2-M phase, and that mutations that affect regulatory phosphorylation or catalytic activity can alter AID stability and abundance. We directly test the role of cell cycle regulation by fusing AID to tags that destabilize nuclear protein outside of G1 or S-G2/M phases. We show that enforced nuclear localization of AID in G1 phase accelerates somatic hypermutation and class switch recombination, and is well-tolerated; while nuclear AID compromises viability in S-G2/M phase cells. We identify AID derivatives that accelerate somatic hypermutation with minimal impact on viability, which will be useful tools for engineering genes and proteins by iterative mutagenesis and selection. Our results further suggest that use of cell cycle tags to regulate nuclear stability may be generally applicable to studying DNA repair and to engineering the genome. PMID:26355458

Analysis of the impact of digital watermarking on computer-aided diagnosis in medical imaging.

PubMed

Garcia-Hernandez, Jose Juan; Gomez-Flores, Wilfrido; Rubio-Loyola, Javier

2016-01-01

Medical images (MI) are relevant sources of information for detecting and diagnosing a large number of illnesses and abnormalities. Due to their importance, this study is focused on breast ultrasound (BUS), which is the main adjunct for mammography to detect common breast lesions among women worldwide. On the other hand, aiming to enhance data security, image fidelity, authenticity, and content verification in e-health environments, MI watermarking has been widely used, whose main goal is to embed patient meta-data into MI so that the resulting image keeps its original quality. In this sense, this paper deals with the comparison of two watermarking approaches, namely spread spectrum based on the discrete cosine transform (SS-DCT) and the high-capacity data-hiding (HCDH) algorithm, so that the watermarked BUS images are guaranteed to be adequate for a computer-aided diagnosis (CADx) system, whose two principal outcomes are lesion segmentation and classification. Experimental results show that HCDH algorithm is highly recommended for watermarking medical images, maintaining the image quality and without introducing distortion into the output of CADx. Copyright © 2015 Elsevier Ltd. All rights reserved.

Improving human activity recognition and its application in early stroke diagnosis.

PubMed

Villar, José R; González, Silvia; Sedano, Javier; Chira, Camelia; Trejo-Gabriel-Galan, Jose M

2015-06-01

The development of efficient stroke-detection methods is of significant importance in today's society due to the effects and impact of stroke on health and economy worldwide. This study focuses on Human Activity Recognition (HAR), which is a key component in developing an early stroke-diagnosis tool. An overview of the proposed global approach able to discriminate normal resting from stroke-related paralysis is detailed. The main contributions include an extension of the Genetic Fuzzy Finite State Machine (GFFSM) method and a new hybrid feature selection (FS) algorithm involving Principal Component Analysis (PCA) and a voting scheme putting the cross-validation results together. Experimental results show that the proposed approach is a well-performing HAR tool that can be successfully embedded in devices.

A History of Financial Aid to Students

ERIC Educational Resources Information Center

Fuller, Matthew B.

2014-01-01

Colleges, universities, and the communities they serve have always been concerned about students' abilities to pay and the systems of aid to support students' learning. This article reviews the history of aiding student in higher education. Early student- and institutionally-led programs are discussed along with initial philanthropic and…

The value of confirmatory testing in early infant HIV diagnosis programmes in South Africa: A cost-effectiveness analysis.

PubMed

Dunning, Lorna; Francke, Jordan A; Mallampati, Divya; MacLean, Rachel L; Penazzato, Martina; Hou, Taige; Myer, Landon; Abrams, Elaine J; Walensky, Rochelle P; Leroy, Valériane; Freedberg, Kenneth A; Ciaranello, Andrea

2017-11-01

The specificity of nucleic acid amplification tests (NAATs) used for early infant diagnosis (EID) of HIV infection is <100%, leading some HIV-uninfected infants to be incorrectly identified as HIV-infected. The World Health Organization recommends that infants undergo a second NAAT to confirm any positive test result, but implementation is limited. Our objective was to determine the impact and cost-effectiveness of confirmatory HIV testing for EID programmes in South Africa. Using the Cost-effectiveness of Preventing AIDS Complications (CEPAC)-Pediatric model, we simulated EID testing at age 6 weeks for HIV-exposed infants without and with confirmatory testing. We assumed a NAAT cost of US$25, NAAT specificity of 99.6%, NAAT sensitivity of 100% for infants infected in pregnancy or at least 4 weeks prior to testing, and a mother-to-child transmission (MTCT) rate at 12 months of 4.9%; we simulated guideline-concordant rates of testing uptake, result return, and antiretroviral therapy (ART) initiation (100%). After diagnosis, infants were linked to and retained in care for 10 years (false-positive) or lifelong (true-positive). All parameters were varied widely in sensitivity analyses. Outcomes included number of infants with false-positive diagnoses linked to ART per 1,000 ART initiations, life expectancy (LE, in years) and per-person lifetime HIV-related healthcare costs. Both without and with confirmatory testing, LE was 26.2 years for HIV-infected infants and 61.4 years for all HIV-exposed infants; clinical outcomes for truly infected infants did not differ by strategy. Without confirmatory testing, 128/1,000 ART initiations were false-positive diagnoses; with confirmatory testing, 1/1,000 ART initiations were false-positive diagnoses. Because confirmatory testing averted costly HIV care and ART in truly HIV-uninfected infants, it was cost-saving: total cost US$1,790/infant tested, compared to US$1,830/infant tested without confirmatory testing. Confirmatory

Clinical utility of cerebrospinal fluid biomarkers in the diagnosis of early Alzheimer’s disease

PubMed Central

Blennow, Kaj; Dubois, Bruno; Fagan, Anne M.; Lewczuk, Piotr; de Leon, Mony J.; Hampel, Harald

2015-01-01

Several potential disease-modifying drugs for Alzheimer’s disease (AD) have failed to show any effect on disease progression in clinical trials, conceivably because the AD subjects are already too advanced to derive clinical benefit from treatment and because diagnosis based on clinical criteria alone introduces a high misdiagnosis rate. Thus, well-validated biomarkers for early detection and accurate diagnosis are crucial. Low cerebrospinal fluid (CSF) concentrations of the amyloid-β (Aβ1-42) peptide, in combination with high total tau and phosphorylated tau, are sensitive and specific biomarkers highly predictive of progression to AD dementia in patients with mild cognitive impairment. However, interlaboratory variations in the results seen with currently available immunoassays are of concern. Recent worldwide standardization efforts and quality control programs include standard operating procedures for both preanalytical (e.g., lumbar puncture and sample handling) and analytical (e.g., preparation of calibration curve) procedures. Efforts are also ongoing to develop highly reproducible assays on fully automated instruments. These global standardization and harmonization measures will provide the basis for the generalized international application of CSF bio-markers for both clinical trials and routine clinical diagnosis of AD. PMID:24795085

The LISS--a public database of common imaging signs of lung diseases for computer-aided detection and diagnosis research and medical education.

PubMed

Han, Guanghui; Liu, Xiabi; Han, Feifei; Santika, I Nyoman Tenaya; Zhao, Yanfeng; Zhao, Xinming; Zhou, Chunwu

2015-02-01

Lung computed tomography (CT) imaging signs play important roles in the diagnosis of lung diseases. In this paper, we review the significance of CT imaging signs in disease diagnosis and determine the inclusion criterion of CT scans and CT imaging signs of our database. We develop the software of abnormal regions annotation and design the storage scheme of CT images and annotation data. Then, we present a publicly available database of lung CT imaging signs, called LISS for short, which contains 271 CT scans and 677 abnormal regions in them. The 677 abnormal regions are divided into nine categories of common CT imaging signs of lung disease (CISLs). The ground truth of these CISLs regions and the corresponding categories are provided. Furthermore, to make the database publicly available, all private data in CT scans are eliminated or replaced with provisioned values. The main characteristic of our LISS database is that it is developed from a new perspective of CT imaging signs of lung diseases instead of commonly considered lung nodules. Thus, it is promising to apply to computer-aided detection and diagnosis research and medical education.

Accuracy of blood culture for early diagnosis of mediastinitis in febrile patients after cardiac surgery.

PubMed

San Juan, R; Aguado, J M; López, M J; Lumbreras, C; Enriquez, F; Sanz, F; Chaves, F; López-Medrano, F; Lizasoain, M; Rufilanchas, J J

2005-03-01

Postsurgical mediastinitis (PSM) remains a major cause of morbidity and mortality in patients undergoing cardiac surgery procedures. Although prompt diagnosis is crucial in these patients, neither clinical data nor imaging techniques have shown enough sensitivity or specificity for early diagnosis of PSM. The aim of the present study was to assess the validity of blood cultures as a diagnostic test for the early detection of PSM in patients who become febrile after cardiac surgery procedures. During a 4-year period (1999-2002), patients who developed fever (>37.8 degrees C) in the first 60 days after a cardiac surgery procedure were evaluated. Blood cultures were drawn from these patients. PSM was defined as deep infection involving retrosternal tissue and/or the sternal bone directly observed by the surgeon and confirmed microbiologically. Three criteria for positivity of blood cultures were applied: bacteremia, staphylococcal bacteremia, or Staphylococcus aureus bacteremia. For purposes of the analysis, a positive blood culture in patients with PSM was considered a true-positive test and a negative blood culture a false-negative test. Otherwise, in febrile patients without PSM in the postsurgery period, a positive blood culture was considered a false-positive test and a negative blood culture a true-negative test. Blood cultures were drawn from 266 febrile patients in the postsurgery period. PSM occurred in 38 patients (26 cases due to S. aureus, 8 to Staphylococcus epidermidis, 3 to gram-negative enteric bacteria, and one to Pseudomonas aeruginosa). Within the 60-day postsurgical period, blood culture as a diagnostic test was most accurate in patients with S. aureus bacteremia, providing 68% sensitivity, 98% specificity, a positive predictive value of 87%, and a negative predictive value of 95%. If the analysis was limited to the period during which patients are at maximum risk for PSM (day 7-20), the values in patients with S. aureus bacteremia were as follows

Computer-Aided Diagnosis for Breast Ultrasound Using Computerized BI-RADS Features and Machine Learning Methods.

PubMed

Shan, Juan; Alam, S Kaisar; Garra, Brian; Zhang, Yingtao; Ahmed, Tahira

2016-04-01

This work identifies effective computable features from the Breast Imaging Reporting and Data System (BI-RADS), to develop a computer-aided diagnosis (CAD) system for breast ultrasound. Computerized features corresponding to ultrasound BI-RADs categories were designed and tested using a database of 283 pathology-proven benign and malignant lesions. Features were selected based on classification performance using a "bottom-up" approach for different machine learning methods, including decision tree, artificial neural network, random forest and support vector machine. Using 10-fold cross-validation on the database of 283 cases, the highest area under the receiver operating characteristic (ROC) curve (AUC) was 0.84 from a support vector machine with 77.7% overall accuracy; the highest overall accuracy, 78.5%, was from a random forest with the AUC 0.83. Lesion margin and orientation were optimum features common to all of the different machine learning methods. These features can be used in CAD systems to help distinguish benign from worrisome lesions. Copyright © 2016 World Federation for Ultrasound in Medicine & Biology. All rights reserved.

Disclosure, stigma of HIV positive child and access to early infant diagnosis in the rural communities of OR Tambo District, South Africa: a qualitative exploration of maternal perspective.

PubMed

Adeniyi, Vincent Oladele; Thomson, Elza; Ter Goon, Daniel; Ajayi, Idowu Anthony

2015-08-26

Despite the overwhelming evidence confirming the morbidity and mortality benefits of early initiation of highly active anti-retroviral therapy (HAART) in HIV-infected infants, some children are still disadvantaged from gaining access to care. The understanding of the maternal perspective on early infant HIV diagnosis and prompt initiation of HAART has not been adequately explored, especially in the rural communities of South Africa. This study explores the perspectives of mothers of HIV-exposed infants with regard to early infant diagnosis (EID) through a lens of social and structural barriers to accessing primary healthcare in OR Tambo district, Eastern Cape Province, South Africa. In this qualitative study, we conducted semi-structured interviews at two primary healthcare centres in the King Sabata Dalindyebo Municipality of the OR Tambo district, South Africa. Twenty-four purposive sample of mothers of HIV-exposed infants took part in the study. Interviews were tape-recorded, transcribed and field notes were obtained. The findings were triangulated with two focus group discussions in order to enrich and validate the qualitative data. Thematic content analysis was employed to analyse the data. The participants have fairly good knowledge of mother-to-child transmission of HIV and the risks during pregnancy, delivery and breastfeeding. The majority of participants were confident of the protection offered by anti-retroviral drugs provided during pregnancy, however, lack knowledge of optimal time for early infant diagnosis of HIV. Reasons for not accessing EID included fear of finding out that their child is HIV positive, feelings of guilt and/or shame and embarrassment with respect to raising an HIV infected infant. Personal experiences of HIV diagnosis and HAART were associated with participants' attitudes and beliefs toward care-seeking behaviours. Stigma resulting from their own disclosure to others reduced their likelihood of recommending EID to other members of

Early diagnosis of mild cognitive impairment and Alzheimer's disease based on salivary lactoferrin.

PubMed

Carro, Eva; Bartolomé, Fernando; Bermejo-Pareja, Félix; Villarejo-Galende, Alberto; Molina, José Antonio; Ortiz, Pablo; Calero, Miguel; Rabano, Alberto; Cantero, José Luis; Orive, Gorka

2017-01-01

The Alzheimer's disease (AD) process is likely initiated many years before clinical onset. Biomarkers of preclinical disease are critical for the development of disease-modifying or even preventative therapies. Current biomarkers for early disease, including cerebrospinal fluid tau and amyloid β (Aβ) levels, structural and functional magnetic resonance imaging, and the use of brain amyloid imaging, are limited because they are very invasive or expensive. Noninvasive biomarkers may be a more accessible alternative, but none can currently detect preclinical AD with the required sensitivity and specificity. Here, we show a novel, straight-forward, and noninvasive approach for assessment of early stages of cognitive decline. Salivary samples from cases of amnestic mild cognitive impairment (aMCI) and AD, and neurology controls were analyzed. We have discovered and validated a new single saliva biomarker, lactoferrin, which in our cross-sectional investigation perfectly discriminates clinically diagnosed aMCI and AD patients from a cognitively healthy control group. The accuracy for AD diagnosis shown by salivary lactoferrin was greater than that obtained from core cerebrospinal fluid (CSF) biomarkers, including total tau and CSF Aβ 42 . Furthermore, salivary lactoferrin can be used for population screening and for identifying those underdiagnosed subjects with very early stages of mild cognitive impairment and AD. This biomarker may offer new insights in the early diagnostics for AD.

Computational Intelligence in Early Diabetes Diagnosis: A Review

PubMed Central

Shankaracharya; Odedra, Devang; Samanta, Subir; Vidyarthi, Ambarish S.

2010-01-01

The development of an effective diabetes diagnosis system by taking advantage of computational intelligence is regarded as a primary goal nowadays. Many approaches based on artificial network and machine learning algorithms have been developed and tested against diabetes datasets, which were mostly related to individuals of Pima Indian origin. Yet, despite high accuracies of up to 99% in predicting the correct diabetes diagnosis, none of these approaches have reached clinical application so far. One reason for this failure may be that diabetologists or clinical investigators are sparsely informed about, or trained in the use of, computational diagnosis tools. Therefore, this article aims at sketching out an outline of the wide range of options, recent developments, and potentials in machine learning algorithms as diabetes diagnosis tools. One focus is on supervised and unsupervised methods, which have made significant impacts in the detection and diagnosis of diabetes at primary and advanced stages. Particular attention is paid to algorithms that show promise in improving diabetes diagnosis. A key advance has been the development of a more in-depth understanding and theoretical analysis of critical issues related to algorithmic construction and learning theory. These include trade-offs for maximizing generalization performance, use of physically realistic constraints, and incorporation of prior knowledge and uncertainty. The review presents and explains the most accurate algorithms, and discusses advantages and pitfalls of methodologies. This should provide a good resource for researchers from all backgrounds interested in computational intelligence-based diabetes diagnosis methods, and allows them to extend their knowledge into this kind of research. PMID:21713313

Computational intelligence in early diabetes diagnosis: a review.

PubMed

Shankaracharya; Odedra, Devang; Samanta, Subir; Vidyarthi, Ambarish S

2010-01-01

The development of an effective diabetes diagnosis system by taking advantage of computational intelligence is regarded as a primary goal nowadays. Many approaches based on artificial network and machine learning algorithms have been developed and tested against diabetes datasets, which were mostly related to individuals of Pima Indian origin. Yet, despite high accuracies of up to 99% in predicting the correct diabetes diagnosis, none of these approaches have reached clinical application so far. One reason for this failure may be that diabetologists or clinical investigators are sparsely informed about, or trained in the use of, computational diagnosis tools. Therefore, this article aims at sketching out an outline of the wide range of options, recent developments, and potentials in machine learning algorithms as diabetes diagnosis tools. One focus is on supervised and unsupervised methods, which have made significant impacts in the detection and diagnosis of diabetes at primary and advanced stages. Particular attention is paid to algorithms that show promise in improving diabetes diagnosis. A key advance has been the development of a more in-depth understanding and theoretical analysis of critical issues related to algorithmic construction and learning theory. These include trade-offs for maximizing generalization performance, use of physically realistic constraints, and incorporation of prior knowledge and uncertainty. The review presents and explains the most accurate algorithms, and discusses advantages and pitfalls of methodologies. This should provide a good resource for researchers from all backgrounds interested in computational intelligence-based diabetes diagnosis methods, and allows them to extend their knowledge into this kind of research.

Direct visualization of pancreatic juice flow using unenhanced MRI with spin labeling can be aid in diagnosing chronic pancreatitis.

PubMed

Sugita, Reiji; Furuta, Akemi; Yamazaki, Tetsuro; Itoh, Kei; Fujita, Naotaka; Takahashi, Shoki

2014-05-01

The purpose of this study is to prospectively assess whether direct visualization of pancreatic juice flow using an unenhanced MRI technique with spin labeling can aid in the diagnosis of chronic pancreatitis. Ten healthy volunteers and 50 patients who were categorized as having no chronic pancreatitis (n = 11), early chronic pancreatitis (n = 7), or established chronic pancreatitis (n = 32) underwent MRI, including direct pancreatic juice visualization using a flow-out technique with a time-spatial labeling inversion pulse, comprising a nonselective inversion recovery pulse immediately followed by a spatially selective inversion labeling pulse. The mean velocities and volumes of pancreatic juice excretion were also obtained. Variance tests were used to evaluate the clinical groups with respect to the appearance rate and mean velocity; the Kruskal-Wallis test was used for volume. There were no significant differences between healthy volunteers and patients with no chronic pancreatitis. The appearance rate, mean velocity, and volume of pancreatic juice excretion tended to decrease with the degree of chronic pancreatitis. Although the difference in these values was statistically significant between the healthy group and the established chronic pancreatitis group, the values of the early group and other groups were not statistically significant. There was a significant correlation between the appearance rate of pancreatic juice and the clinical groups (τ = -0.4376, p = 0.0015). The measurement of directly visualized pancreatic juice flow may aid in establishing the diagnosis of chronic pancreatitis.

[30 years since the first AIDS cases were reported: history and the present. Part II].

PubMed

Brůcková, Marie

2012-09-01

HIV taxonomy, morphology, biophysical properties, and replication cycle as well as modes of HIV transmission in humans are described. State of the art laboratory diagnosis of HIV/AIDS, core clinical diagnostic criteria for AIDS, and AIDS treatment guidelines are summarized. Global HIV/AIDS epidemic and relevant prevention activities are discussed.

Financial Aid's Role in Meeting State College Completion Goals

ERIC Educational Resources Information Center

Hillman, Nicholas W.; Orians, Erica Lee

2013-01-01

This brief utilizes the most recent and rigorous financial aid research to inform state higher education leaders about innovative and effective financial aid practices. By simplifying aid eligibility requirements, improving the aid application process, and engaging in early awareness efforts, states could improve the effectiveness of existing aid…

Diagnosis of acute myocardial infarction.

PubMed

Pandey, Rudradev; Gupta, Naveen K; Wander, Gurpreet S

2011-12-01

Diagnosis of acute myocardial infarction (AMI) has to be made early in the emergency triage since maximal mortality occurs within first hour and the benefits of all interventions are greater once these are instituted early. Diagnosis is easy and based on simple principals of good history, physical examination, early and complete 12 lead electrocardiogram and use of echocardiography which should be available in the emergency triage area. Subsequently biomarkers are also available for documentation and risk stratification. The other causes of acute severe chest pain should be kept in mind and ruled out. The role of myocardial perfusion imaging for diagnosis of AMI is limited. The diagnosis also involves an estimation of the size of infarct, duration since onset of the process, any acute complications of AMI and the likely vessel involved since these have significant therapeutic implications.

Use of multimodality imaging and artificial intelligence for diagnosis and prognosis of early stages of Alzheimer's disease.

PubMed

Liu, Xiaonan; Chen, Kewei; Wu, Teresa; Weidman, David; Lure, Fleming; Li, Jing

2018-04-01

Alzheimer's disease (AD) is a major neurodegenerative disease and the most common cause of dementia. Currently, no treatment exists to slow down or stop the progression of AD. There is converging belief that disease-modifying treatments should focus on early stages of the disease, that is, the mild cognitive impairment (MCI) and preclinical stages. Making a diagnosis of AD and offering a prognosis (likelihood of converting to AD) at these early stages are challenging tasks but possible with the help of multimodality imaging, such as magnetic resonance imaging (MRI), fluorodeoxyglucose (FDG)-positron emission topography (PET), amyloid-PET, and recently introduced tau-PET, which provides different but complementary information. This article is a focused review of existing research in the recent decade that used statistical machine learning and artificial intelligence methods to perform quantitative analysis of multimodality image data for diagnosis and prognosis of AD at the MCI or preclinical stages. We review the existing work in 3 subareas: diagnosis, prognosis, and methods for handling modality-wise missing data-a commonly encountered problem when using multimodality imaging for prediction or classification. Factors contributing to missing data include lack of imaging equipment, cost, difficulty of obtaining patient consent, and patient drop-off (in longitudinal studies). Finally, we summarize our major findings and provide some recommendations for potential future research directions. Copyright © 2018 Elsevier Inc. All rights reserved.

Late HIV diagnosis is a major risk factor for intensive care unit admission in HIV-positive patients: a single centre observational cohort study

PubMed Central

2013-01-01

Background HIV positive patients are at risk of infectious and non-infectious complications that may necessitate intensive care unit (ICU) admission. While the characteristics of patients requiring ICU admission have been described previously, these studies did not include information on the denominator population from which these cases arose. Methods We conducted an observational cohort study of ICU admissions among 2751 HIV positive patients attending King’s College Hospital, South London, UK. Poisson regression models were used to identify factors associated with ICU admission. Results The overall incidence rate of ICU admission was 1.0 [95% CI 0.8, 1.2] per 100 person-years of follow up, and particularly high early (during the first 3 months) following HIV diagnosis (12.4 [8.7, 17.3] per 100 person-years compared to 0.37 [0.27, 0.50] per 100 person-years thereafter; incidence rate ratio 33.5 [23.4, 48.1], p < 0.001). In time-updated analyses, AIDS and current CD4 cell counts of less than 200 cells/mm3 were associated with an increased incidence of ICU admission while receipt of combination antiretroviral therapy (cART) was associated with a reduced incidence of ICU admission. Late HIV diagnosis (initial CD4 cell count <350 or AIDS within 3 months of HIV diagnosis) applied to 81% of patients who were first diagnosed HIV positive during the study period and who required ICU admission. Late HIV diagnosis was significantly associated with ICU admission in the first 3 months following HIV diagnosis (adjusted incidence rate ratio 8.72, 95% CI 2.76, 27.5). Conclusions Late HIV diagnosis was a major risk factor for early ICU admission in our cohort. Earlier HIV diagnosis allowing cART initiation at CD4 cell counts of 350 cells/mm3 is likely to have a significant impact on the need for ICU care. PMID:23331544

Computer-aided diagnosis of colorectal polyp histology by using a real-time image recognition system and narrow-band imaging magnifying colonoscopy.

PubMed

Kominami, Yoko; Yoshida, Shigeto; Tanaka, Shinji; Sanomura, Yoji; Hirakawa, Tsubasa; Raytchev, Bisser; Tamaki, Toru; Koide, Tetsusi; Kaneda, Kazufumi; Chayama, Kazuaki

2016-03-01

It is necessary to establish cost-effective examinations and treatments for diminutive colorectal tumors that consider the treatment risk and surveillance interval after treatment. The Preservation and Incorporation of Valuable Endoscopic Innovations (PIVI) committee of the American Society for Gastrointestinal Endoscopy published a statement recommending the establishment of endoscopic techniques that practice the resect and discard strategy. The aims of this study were to evaluate whether our newly developed real-time image recognition system can predict histologic diagnoses of colorectal lesions depicted on narrow-band imaging and to satisfy some problems with the PIVI recommendations. We enrolled 41 patients who had undergone endoscopic resection of 118 colorectal lesions (45 nonneoplastic lesions and 73 neoplastic lesions). We compared the results of real-time image recognition system analysis with that of narrow-band imaging diagnosis and evaluated the correlation between image analysis and the pathological results. Concordance between the endoscopic diagnosis and diagnosis by a real-time image recognition system with a support vector machine output value was 97.5% (115/118). Accuracy between the histologic findings of diminutive colorectal lesions (polyps) and diagnosis by a real-time image recognition system with a support vector machine output value was 93.2% (sensitivity, 93.0%; specificity, 93.3%; positive predictive value (PPV), 93.0%; and negative predictive value, 93.3%). Although further investigation is necessary to establish our computer-aided diagnosis system, this real-time image recognition system may satisfy the PIVI recommendations and be useful for predicting the histology of colorectal tumors. Copyright © 2016 American Society for Gastrointestinal Endoscopy. Published by Elsevier Inc. All rights reserved.

Foundation and methodologies in computer-aided diagnosis systems for breast cancer detection.

PubMed

Jalalian, Afsaneh; Mashohor, Syamsiah; Mahmud, Rozi; Karasfi, Babak; Saripan, M Iqbal B; Ramli, Abdul Rahman B

2017-01-01

Breast cancer is the most prevalent cancer that affects women all over the world. Early detection and treatment of breast cancer could decline the mortality rate. Some issues such as technical reasons, which related to imaging quality and human error, increase misdiagnosis of breast cancer by radiologists. Computer-aided detection systems (CADs) are developed to overcome these restrictions and have been studied in many imaging modalities for breast cancer detection in recent years. The CAD systems improve radiologists' performance in finding and discriminating between the normal and abnormal tissues. These procedures are performed only as a double reader but the absolute decisions are still made by the radiologist. In this study, the recent CAD systems for breast cancer detection on different modalities such as mammography, ultrasound, MRI, and biopsy histopathological images are introduced. The foundation of CAD systems generally consist of four stages: Pre-processing, Segmentation, Feature extraction, and Classification. The approaches which applied to design different stages of CAD system are summarised. Advantages and disadvantages of different segmentation, feature extraction and classification techniques are listed. In addition, the impact of imbalanced datasets in classification outcomes and appropriate methods to solve these issues are discussed. As well as, performance evaluation metrics for various stages of breast cancer detection CAD systems are reviewed.

Foundation and methodologies in computer-aided diagnosis systems for breast cancer detection

PubMed Central