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https://www.readbyqxmd.com/read/28430540/demystifying-orbital-emergencies-a-pictorial-review
#1
Viet D Nguyen, Achint K Singh, Wilson B Altmeyer, Bundhit Tantiwongkosi
Imaging of the orbit plays an important role in the workup of orbital emergencies. Orbital imaging is particularly useful in the emergency department, where clinical history and physical examination may be limited or delayed until the exclusion or treatment of more life-threatening conditions. Cross-sectional orbital imaging with multidetector computed tomography (CT) and magnetic resonance (MR) imaging is commonly performed in addition to ultrasonography. In an emergent setting, CT is the preferred modality when evaluating for intraorbital foreign bodies, fractures, or calcifications within a mass lesion...
April 21, 2017: Radiographics: a Review Publication of the Radiological Society of North America, Inc
https://www.readbyqxmd.com/read/28429195/computer-assisted-diagnosis-system-for-breast-cancer-in-computed-tomography-laser-mammography-ctlm
#2
Afsaneh Jalalian, Syamsiah Mashohor, Rozi Mahmud, Babak Karasfi, M Iqbal Saripan, Abdul Rahman Ramli
Computed tomography laser mammography (Eid et al. Egyp J Radiol Nucl Med, 37(1): p. 633-643, 1) is a non-invasive imaging modality for breast cancer diagnosis, which is time-consuming and challenging for the radiologist to interpret the images. Some issues have increased the missed diagnosis of radiologists in visual manner assessment in CTLM images, such as technical reasons which are related to imaging quality and human error due to the structural complexity in appearance. The purpose of this study is to develop a computer-aided diagnosis framework to enhance the performance of radiologist in the interpretation of CTLM images...
April 20, 2017: Journal of Digital Imaging: the Official Journal of the Society for Computer Applications in Radiology
https://www.readbyqxmd.com/read/28417133/comorbid-diabetes-and-depression-among-older-adults-prevalence-correlates-disability-and-healthcare-utilisation
#3
Mythily Subramaniam, Edimansyah Abdin, Janhavi A Vaingankar, Louisa Picco, Esmond Seow, Boon Yiang Chua, Li Ling Ng, Rathi Mahendran, Hong Choon Chua, Derrick Mk Heng, Siow Ann Chong
INTRODUCTION: The objectives of this current study were to: 1) examine the prevalence and correlates of diabetes mellitus (DM) among older adults (aged 60 years and above) in a multi-ethnic population; 2) examine the prevalence and correlates of comorbid DM and depression among them; and 3) assess the effect of comorbid depression on disability, cognition and healthcare utilisation. MATERIALS AND METHODS: Data for the current study came from the Well-being of the Singapore Elderly (WiSE) study; a single phase, cross-sectional survey conducted among Singapore residents aged 60 years and above...
March 2017: Annals of the Academy of Medicine, Singapore
https://www.readbyqxmd.com/read/28414666/just-a-puff-of-smoke
#4
A Leonard
CASE: A 44 year old woman with a history of stroke s/p aneurysm clipping, seizure, and substance abuse was brought to the hospital after a family member received a call from her friend saying she was acting unusual and may have had a seizure while hanging out on the street. At her baseline, she needed modest assistance in daily activities after her CVA and conversed without issue. Her mother died of a stroke. On exam the patient was afebrile, normotensive with mild tachycardia to 110...
March 2017: Journal of the Louisiana State Medical Society: Official Organ of the Louisiana State Medical Society
https://www.readbyqxmd.com/read/28413203/nuclear-morphometry-and-texture-analysis-on-cytological-smears-of-thyroid-neoplasms-a-study-of-50-cases
#5
L Deka, S Gupta, R Gupta, K Gupta, C J Kaur, S Singh S
BACKGROUND: Fine needle aspiration cytology (FNAC) is a reliable and reproducible diagnostic technique for thyroid lesions with certain limitations. Computed morphometric methods have been introduced with a view to improve the diagnostic yield of thyroid aspirates. However, a review of the existing literature revealed conflicting reports regarding morphometric parameters in thyroid neoplasms. MATERIALS AND METHODS: This study included 50 cases of thyroid lesions (20 cases of colloid goitre, 15 of follicular adenoma, 5 of follicular carcinoma and 10 papillary carcinomas)...
April 2017: Malaysian Journal of Pathology
https://www.readbyqxmd.com/read/28410505/multi-atlas-pancreas-segmentation-atlas-selection-based-on-vessel-structure
#6
Ken'ichi Karasawa, Masahiro Oda, Takayuki Kitasaka, Kazunari Misawa, Michitaka Fujiwara, Chengwen Chu, Guoyan Zheng, Daniel Rueckert, Kensaku Mori
Automated organ segmentation from medical images is an indispensable component for clinical applications such as computer-aided diagnosis (CAD) and computer-assisted surgery (CAS). We utilize a multi-atlas segmentation scheme, which has recently been used in different approaches in the literature to achieve more accurate and robust segmentation of anatomical structures in computed tomography (CT) volume data. Among abdominal organs, the pancreas has large inter-patient variability in its position, size and shape...
March 31, 2017: Medical Image Analysis
https://www.readbyqxmd.com/read/28400994/pathological-diagnosis-of-gastric-cancers-with-a-novel-computerized-analysis-system
#7
Kosuke Oikawa, Akira Saito, Tomoharu Kiyuna, Hans Peter Graf, Eric Cosatto, Masahiko Kuroda
BACKGROUND: Recent studies of molecular biology have provided great advances for diagnostic molecular pathology. Automated diagnostic systems with computerized scanning for sampled cells in fluids or smears are now widely utilized. Automated analysis of tissue sections is, however, very difficult because they exhibit a complex mixture of overlapping malignant tumor cells, benign host-derived cells, and extracellular materials. Thus, traditional histological diagnosis is still the most powerful method for diagnosis of diseases...
2017: Journal of Pathology Informatics
https://www.readbyqxmd.com/read/28391815/semi-automatic-segmentation-of-femur-based-on-harmonic-barrier
#8
Zheng Zou, Sheng-Hui Liao, San-Ding Luo, Qing Liu, Shi-Jian Liu
BACKGROUND AND OBJECTIVE: Segmentation of the femur from the hip joint in computed tomography (CT) is an important preliminary step in hip surgery planning and simulation. However, this is a time-consuming and challenging task due to the weak boundary, the varying topology of the hip joint, and the extremely narrow or blurred space between the femoral head and the acetabulum. To address these problems, this study proposed a semi-automatic segmentation framework based on harmonic fields for accurate segmentation...
May 2017: Computer Methods and Programs in Biomedicine
https://www.readbyqxmd.com/read/28386606/progressive-graph-based-transductive-learning-for-multi-modal-classification-of-brain-disorder-disease
#9
Zhengxia Wang, Xiaofeng Zhu, Ehsan Adeli, Yingying Zhu, Chen Zu, Feiping Nie, Dinggang Shen, Guorong Wu
Graph-based Transductive Learning (GTL) is a powerful tool in computer-assisted diagnosis, especially when the training data is not sufficient to build reliable classifiers. Conventional GTL approaches first construct a fixed subject-wise graph based on the similarities of observed features (i.e., extracted from imaging data) in the feature domain, and then follow the established graph to propagate the existing labels from training to testing data in the label domain. However, such a graph is exclusively learned in the feature domain and may not be necessarily optimal in the label domain...
October 2016: Medical Image Computing and Computer-assisted Intervention: MICCAI ..
https://www.readbyqxmd.com/read/28384126/an-automated-method-for-accurate-vessel-segmentation
#10
Xin Yang, Chaoyue Liu, Hung Le Minh, Zhiwei Wang, Aichi Chien, Kwang-Ting Tim Cheng
Vessel segmentation is a critical task for various medical applications, such as diagnosis assistance of diabetic retinopathy, quantification of cerebral aneurysm's growth, and guiding surgery in neurosurgical procedures. Despite technology advances in image segmentation, existing methods still suffer from low accuracy for vessel segmentation in the two challenging while common scenarios in clinical usage: (1) regions with a low signal-to-noise-ratio (SNR), and (2) at vessel boundaries disturbed by adjacent non-vessel pixels...
April 6, 2017: Physics in Medicine and Biology
https://www.readbyqxmd.com/read/28384077/american-telemedicine-association-telestroke-guidelines
#11
Bart M Demaerschalk, Jill Berg, Brian W Chong, Hartmut Gross, Karin Nystrom, Opeolu Adeoye, Lee Schwamm, Lawrence Wechsler, Sallie Whitchurch
The following telestroke guidelines were developed to assist practitioners in providing assessment, diagnosis, management, and/or remote consultative support to patients exhibiting symptoms and signs consistent with an acute stroke syndrome, using telemedicine communication technologies. Although telestroke practices may include the more broad utilization of telemedicine across the entire continuum of stroke care, with some even consulting on all neurologic emergencies, this document focuses on the acute phase of stroke, including both pre- and in-hospital encounters for cerebrovascular neurological emergencies...
April 6, 2017: Telemedicine Journal and E-health: the Official Journal of the American Telemedicine Association
https://www.readbyqxmd.com/read/28379628/nuclear-spatial-and-spectral-features-based-evolutionary-method-for-meningioma-subtypes-classification-in-histopathology
#12
Kiran Fatima, Hammad Majeed, Humayun Irshad
Meningioma subtypes classification is a real-world multiclass problem from the realm of neuropathology. The major challenge in solving this problem is the inherent complexity due to high intra-class variability and low inter-class variation in tissue samples. The development of computational methods to assist pathologists in characterization of these tissue samples would have great diagnostic and prognostic value. In this article, we proposed an optimized evolutionary framework for the classification of benign meningioma into four subtypes...
April 5, 2017: Microscopy Research and Technique
https://www.readbyqxmd.com/read/28379111/lifetime-doctor-diagnosed-mental-health-conditions-and-current-substance-use-among-gay-and-bisexual-men-living-in-vancouver-canada
#13
Nathan J Lachowsky, Joshun J S Dulai, Zishan Cui, Paul Sereda, Ashleigh Rich, Thomas L Patterson, Trevor T Corneil, Julio S G Montaner, Eric A Roth, Robert S Hogg, David M Moore
BACKGROUND: Studies have found that gay, bisexual, and other men who have sex with men (GBM) have higher rates of mental health conditions and substance use than heterosexual men, but are limited by issues of representativeness. OBJECTIVES: To determine the prevalence and correlates of mental health disorders among GBM in Metro Vancouver, Canada. METHODS: From 2012 to 2014, the Momentum Health Study recruited GBM (≥16 years) via respondent-driven sampling (RDS) to estimate population parameters...
May 12, 2017: Substance Use & Misuse
https://www.readbyqxmd.com/read/28364276/-computer-assisted-diagnosis-of-rare-diseases
#14
T Müller, A Jerrentrup, J R Schäfer
To establish a comprehensive diagnosis is by far the most challenging task in a physician's daily routine. Especially rare diseases place high demands on differential diagnosis, caused by the high number of around 8000 diseases and their clinical variability. No clinician can be aware of all the different entities and memorizing them all is impossible and inefficient. Specific diagnostic decision-supported systems provide better results than standard search engines in this context. The systems FindZebra, Phenomizer, Orphanet, and Isabel are presented here concisely with their advantages and limitations...
March 31, 2017: Der Internist
https://www.readbyqxmd.com/read/28349049/relationship-between-human-immunodeficiency-virus-hiv-knowledge-hiv-related-stigma-and-hiv-testing-among-young-black-adults-in-a-southeastern-city
#15
Eunice Okumu, David H Jolly, Le'Marus Alston, Natalie T Eley, Michelle Laws, Kathleen M MacQueen
The southeast is identified as the epicenter of the nation's human immunodeficiency virus (HIV) epidemic, accounting for nearly 44% of all persons living with a HIV diagnosis in the United States. HIV stigma and knowledge have been cited as some of the complex factors increasing risk of acquiring HIV within African-American communities. We sought to understand how HIV knowledge and HIV-related stigma impact HIV testing experience among young Black adults who completed a community-based participatory research survey in a Southeastern city...
2017: Frontiers in Public Health
https://www.readbyqxmd.com/read/28345683/-workplace-health-promotion-in-poland-in-2015-diagnosis-based-on-a-representative-survey-of-companies-employing-more-than-50-employees
#16
Krzysztof Puchalski, Elżbieta Korzeniowska
BACKGROUND: The workplace health promotion (WHP) activity of enterprises in Poland was examined. The findings referred to how many companies implemented non-obligatory actions for health and what actions were taken, what were the reasons and obstacles in the implementation, whether companies evaluated their activity, how they motivated staff to WHP, and whether the size and economic standing differentiated their activity. MATERIAL AND METHODS: Representative survey, consisted of computer assisted telephone interviews with delegates of the boards of 1000 companies employing > 50 employees, held in November-December 2015...
March 24, 2017: Medycyna Pracy
https://www.readbyqxmd.com/read/28333950/drug-resistant-hiv-behaviors-and-characteristics-among-los-angeles-men-who-have-sex-with-men-with-new-hiv-diagnosis
#17
Pamina M Gorbach, Marjan Javanbakht, Lorelei Bornfleth, Robert K Bolan, Martha Lewis Blum
Epidemiology of drug resistant HIV has focused on trends and less attention has been given to identification of factors, especially behaviors including substance use, in acquisition of drug-resistant HIV. From 2009 to 2012 The Metromates Study enrolled and followed for one year men who have sex with men (MSM) seeking testing for HIV in a community clinic in Los Angeles assessing those testing positive for acute and recent HIV infection. Behavioral data were collected via Computer-Assisted Self-Interview from 125 classified as newly HIV infected and 91 as chronically infected (newly HIV-diagnosed); specimens were available and viable for resistance testing for 154 of the 216 HIV positives with new diagnoses...
2017: PloS One
https://www.readbyqxmd.com/read/28325441/a-review-of-fuzzy-cognitive-maps-in-medicine-taxonomy-methods-and-applications
#18
REVIEW
Abdollah Amirkhani, Elpiniki I Papageorgiou, Akram Mohseni, Mohammad R Mosavi
BACKGROUND AND OBJECTIVE: A high percentage of medical errors, committed because of physician's lack of experience, huge volume of data to be analyzed, and inaccessibility to medical records of previous patients, can be reduced using computer-aided techniques. Therefore, designing more efficient medical decision-support systems (MDSSs) to assist physicians in decision-making is crucially important. Through combining the properties of fuzzy logic and neural networks, fuzzy cognitive maps (FCMs) are among the latest, most efficient, and strongest artificial intelligence techniques for modeling complex systems...
April 2017: Computer Methods and Programs in Biomedicine
https://www.readbyqxmd.com/read/28323731/thymic-carcinoma-with-endobronchial-metastasis-a-case-report
#19
Makoto Nagamata, Yusuke Okuma, Yukio Hosomi, Tsunekazu Hishima
Thymic carcinoma is a rare cancer, accounting for only 1% to 4% of thymic epithelial tumors. Endobronchial metastasis is a rare presentation of these tumors. A 64-year-old man presented with a cough. Lung cancer was suspected because a chest radiograph showed a 7-cm mass in the left pulmonary hilum. Computed tomography showed a mass in the anterior mediastinum and an infiltrate in the upper lobe of the left lung. Bronchoscopy demonstrated bilateral polypoid tumors in the left B bronchus and the right B bronchus...
April 2017: Journal of Bronchology & Interventional Pulmonology
https://www.readbyqxmd.com/read/28321787/a-mathematical-theory-of-shape-and-neuro-fuzzy-methodology-based-diagnostic-analysis-a-comparative-study-on-early-detection-and-treatment-planning-of-brain-cancer
#20
Subrata Kar, D Dutta Majumder
BACKGROUND: Investigation of brain cancer can detect the abnormal growth of tissue in the brain using computed tomography (CT) scans and magnetic resonance (MR) images of patients. The proposed method classifies brain cancer on shape-based feature extraction as either benign or malignant. The authors used input variables such as shape distance (SD) and shape similarity measure (SSM) in fuzzy tools, and used fuzzy rules to evaluate the risk status as an output variable. We presented a classifier neural network system (NNS), namely Levenberg-Marquardt (LM), which is a feed-forward back-propagation learning algorithm used to train the NN for the status of brain cancer, if any, and which achieved satisfactory performance with 100% accuracy...
March 20, 2017: International Journal of Clinical Oncology
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