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https://www.readbyqxmd.com/read/27914178/longitudinal-assessment-of-examiner-experience-and-the-accuracy-of-sonographic-fetal-weight-estimation-at-term
#1
Florian Faschingbauer, Jutta Heimrich, Eva Raabe, Sven Kehl, Michael Schneider, Matthias Schmid, Matthias W Beckmann, Tobias Hepp, Anika Lübke, Andreas Mayr, Ralf L Schild
OBJECTIVES: To evaluate the influence of examiner experience on the accuracy of sonographic weight estimation and to further analyze examiners' individual learning curves. METHODS: In this multicenter study, 4613 sonographic weight estimations performed by 18 examiners at the beginning of their ultrasound training were included. To assess the effect of experience on the accuracy of weight estimation, a multivariable mixed regression model analysis was performed, with percentage error and absolute percentage error as outcome variables and the examiner, the examiner's experience (number of examinations), birth weight, gestational age, scan-to-delivery interval, and maternal body mass index as fixed effects and the perinatal center as random intercepts...
December 3, 2016: Journal of Ultrasound in Medicine: Official Journal of the American Institute of Ultrasound in Medicine
https://www.readbyqxmd.com/read/27912731/predicting-the-recurrence-of-noncoding-regulatory-mutations-in-cancer
#2
Woojin Yang, Hyoeun Bang, Kiwon Jang, Min Kyung Sung, Jung Kyoon Choi
BACKGROUND: One of the greatest challenges in cancer genomics is to distinguish driver mutations from passenger mutations. Whereas recurrence is a hallmark of driver mutations, it is difficult to observe recurring noncoding mutations owing to a limited amount of whole-genome sequenced samples. Hence, it is required to develop a method to predict potentially recurrent mutations. RESULTS: In this work, we developed a random forest classifier that predicts regulatory mutations that may recur based on the features of the mutations repeatedly appearing in a given cohort...
December 3, 2016: BMC Bioinformatics
https://www.readbyqxmd.com/read/27911353/computer-aided-classification-of-mammographic-masses-using-visually-sensitive-image-features
#3
Yunzhi Wang, Faranak Aghaei, Ali Zarafshani, Yuchen Qiu, Wei Qian, Bin Zheng
PURPOSE: To develop a new computer-aided diagnosis (CAD) scheme that computes visually sensitive image features routinely used by radiologists to develop a machine learning classifier and distinguish between the malignant and benign breast masses detected from digital mammograms. METHODS: An image dataset including 301 breast masses was retrospectively selected. From each segmented mass region, we computed image features that mimic five categories of visually sensitive features routinely used by radiologists in reading mammograms...
November 30, 2016: Journal of X-ray Science and Technology
https://www.readbyqxmd.com/read/27909360/learning-curves-observed-in-establishing-targeted-rate-of-force-application-in-pressure-pain-algometry
#4
Alicia J Emerson Kavchak, Josiah D Sault, Ann Vendrely
Purpose: To determine whether learning curves can be observed with deliberate practice when the goal is to apply a consistent rate of force at 5 N/second during pressure pain threshold (PPT) testing in healthy volunteers. Methods: In this prospective study, 17 clinician participants completed PPT targeted rate-of-application testing with healthy volunteers using three different feedback paradigms. The resultant performances of ramp rate during 36 trials were plotted on a graph and examined to determine whether learning curves were observed...
2016: Physiotherapy Canada. Physiothérapie Canada
https://www.readbyqxmd.com/read/27909119/impact-of-a-learning-curve-on-the-survivorship-of-4802-cementless-total-hip-arthroplasties
#5
P Magill, J Blaney, J C Hill, M P Bonnin, D E Beverland
AIMS: Our aim was to report survivorship data and lessons learned with the Corail/Pinnacle cementless total hip arthroplasty (THA) system. PATIENTS AND METHODS: Between August 2005 and March 2015, a total of 4802 primary cementless Corail/Pinnacle THAs were performed in 4309 patients. In March 2016, we reviewed these hips from a prospectively maintained database. RESULTS: A total of 80 hips (1.67%) have been revised which is equivalent to a cumulative risk of revision of 2...
December 2016: Bone & Joint Journal
https://www.readbyqxmd.com/read/27908512/single-balloon-enteroscopy
#6
REVIEW
Philipp Lenz, Dirk Domagk
Single-balloon enteroscopy is among 3 device-assisted enteroscopy systems on the market. Compared with double-balloon enteroscopy, no significant difference in diagnostic yield was found. Additionally, no significant difference was found in oral and anal insertion depth, adverse events, or procedure times. Some studies observed lower complete enteroscopy rates, which have evidently no diagnostic impact. With a learning curve of around 30 procedures, the single-balloon endoscope is a safe endoscopic tool, which seems equally suitable for diagnostic and therapeutic interventions...
January 2017: Gastrointestinal Endoscopy Clinics of North America
https://www.readbyqxmd.com/read/27908450/the-learning-curve-effect-on-embolization-of-cerebral-dural-arteriovenous-fistula-single-center-experience-in-48%C3%A2-consecutive-patients
#7
D Le Foll, H Raoult, J C Ferré, F Naudet, D Trystram, J Y Gauvrit
BACKGROUND: Cerebral dural arteriovenous fistulas (DAVFs) are rare intracranial vascular lesions but can cause significant morbidity and mortality. OBJECTIVES: To analyze the effect of the center's experience on DAVF embolization efficacy and safety. METHODS: From May 2008 to October 2014, 57 embolization procedures were attempted on 48 patients (37 men and 11 women; median age: 63.9 years) for DAVF in a single center. DAVF presented with cortical venous reflux in 44/48 cases (91...
November 28, 2016: Journal of Neuroradiology. Journal de Neuroradiologie
https://www.readbyqxmd.com/read/27908167/computer-aided-prognosis-for-cell-death-categorization-and-prediction-in-vivo-using-quantitative-ultrasound-and-machine-learning-techniques
#8
M J Gangeh, A Hashim, A Giles, L Sannachi, G J Czarnota
PURPOSE: At present, a one-size-fits-all approach is typically used for cancer therapy in patients. This is mainly because there is no current imaging-based clinical standard for the early assessment and monitoring of cancer treatment response. Here, the authors have developed, for the first time, a complete computer-aided-prognosis (CAP) system based on multiparametric quantitative ultrasound (QUS) spectroscopy methods in association with texture descriptors and advanced machine learning techniques...
December 2016: Medical Physics
https://www.readbyqxmd.com/read/27908158/similarity-measurement-of-lung-masses-for-medical-image-retrieval-using-kernel-based-semisupervised-distance-metric
#9
Guohui Wei, He Ma, Wei Qian, Min Qiu
PURPOSE: To develop a new algorithm to measure the similarity between the query lung mass and reference lung mass data set for content-based medical image retrieval (CBMIR). METHODS: A lung mass data set including 746 mass regions of interest (ROIs) was assembled. Among them, 375 ROIs depicted malignant lesions and 371 depicted benign lesions. Each mass ROI is represented by a vector of 26 texture features. A kernel function was employed to map the original data in input space to a feature space...
December 2016: Medical Physics
https://www.readbyqxmd.com/read/27908154/mass-detection-in-digital-breast-tomosynthesis-deep-convolutional-neural-network-with-transfer-learning-from-mammography
#10
Ravi K Samala, Heang-Ping Chan, Lubomir Hadjiiski, Mark A Helvie, Jun Wei, Kenny Cha
PURPOSE: Develop a computer-aided detection (CAD) system for masses in digital breast tomosynthesis (DBT) volume using a deep convolutional neural network (DCNN) with transfer learning from mammograms. METHODS: A data set containing 2282 digitized film and digital mammograms and 324 DBT volumes were collected with IRB approval. The mass of interest on the images was marked by an experienced breast radiologist as reference standard. The data set was partitioned into a training set (2282 mammograms with 2461 masses and 230 DBT views with 228 masses) and an independent test set (94 DBT views with 89 masses)...
December 2016: Medical Physics
https://www.readbyqxmd.com/read/27906942/lower-learning-difficulty-and-fluoroscopy-reduction-of-transforaminal-percutaneous-endoscopic-lumbar-discectomy-with-an-accurate-preoperative-location-method
#11
Guoxin Fan, Xin Gu, Yifan Liu, Xinbo Wu, Hailong Zhang, Guangfei Gu, Xiaofei Guan, Shisheng He
BACKGROUND: Transforaminal percutaneous endoscopic lumbar discectomy (tPELD) poses great challenges for junior surgeons. Beginners often require repeated attempts using fluoroscopy causing more punctures, which may significantly undermine their confidence and increase the radiation exposure to medical staff and patients. Moreover, the impact of an accurate location on the learning curve of tPELD has not been defined. OBJECTIVE: The study aimed to investigate the impact of an accurate preoperative location method on learning difficulty and fluoroscopy time of tPELD...
November 2016: Pain Physician
https://www.readbyqxmd.com/read/27905893/computational-prediction-of-multidisciplinary-team-decision-making-for-adjuvant-breast-cancer-drug-therapies-a-machine-learning-approach
#12
Frank P Y Lin, Adrian Pokorny, Christina Teng, Rachel Dear, Richard J Epstein
BACKGROUND: Multidisciplinary team (MDT) meetings are used to optimise expert decision-making about treatment options, but such expertise is not digitally transferable between centres. To help standardise medical decision-making, we developed a machine learning model designed to predict MDT decisions about adjuvant breast cancer treatments. METHODS: We analysed MDT decisions regarding adjuvant systemic therapy for 1065 breast cancer cases over eight years. Machine learning classifiers with and without bootstrap aggregation were correlated with MDT decisions (recommended, not recommended, or discussable) regarding adjuvant cytotoxic, endocrine and biologic/targeted therapies, then tested for predictability using stratified ten-fold cross-validations...
December 1, 2016: BMC Cancer
https://www.readbyqxmd.com/read/27905690/learning-curve-in-fenestrated-and-branched-grafting
#13
Teresa Martin-Gonzalez, Tara M Mastracci
In surgical practice new technologies and techniques require a period of adjustment before the main operator becomes familiar with the new procedure, improving the results and the performances. This period, called learning curve, could be applied into the endovascular aortic treatment. The CUSUM technique had been used to define the learning curve in new procedures and through the literature some studies applied it to demonstrate the improving outcomes in complex endovascular aneurysm repair during increasing experience time...
December 1, 2016: Journal of Cardiovascular Surgery
https://www.readbyqxmd.com/read/27903489/finding-important-terms-for-patients-in-their-electronic-health-records-a-learning-to-rank-approach-using-expert-annotations
#14
Jinying Chen, Jiaping Zheng, Hong Yu
BACKGROUND: Many health organizations allow patients to access their own electronic health record (EHR) notes through online patient portals as a way to enhance patient-centered care. However, EHR notes are typically long and contain abundant medical jargon that can be difficult for patients to understand. In addition, many medical terms in patients' notes are not directly related to their health care needs. One way to help patients better comprehend their own notes is to reduce information overload and help them focus on medical terms that matter most to them...
November 30, 2016: JMIR Medical Informatics
https://www.readbyqxmd.com/read/27903119/the-learning-curve-in-endoscopic-endonasal-resection-of-craniopharyngiomas
#15
Varun R Kshettry, Hyunwoo Do, Khaled Elshazly, Christopher J Farrell, Gurston Nyquist, Marc Rosen, James J Evans
OBJECTIVE There is a paucity of literature regarding the learning curve associated with performing endoscopic endonasal cranial base surgery. The purpose of this study was to determine to what extent a learning curve might exist for endoscopic endonasal resection in cases of craniopharyngiomas. METHODS A retrospective review was performed for all endoscopic endonasal craniopharyngioma resections performed at Thomas Jefferson University from 2005 to 2015. To assess for a learning curve effect, patients were divided into an early cohort (2005-2009, n = 20) and a late cohort (2010-2015, n = 23)...
December 2016: Neurosurgical Focus
https://www.readbyqxmd.com/read/27903005/vanishing-point-attracts-gaze-in-free-viewing-and-visual-search-tasks
#16
Ali Borji, Mengyang Feng, Huchuan Lu
Several structural scene cues such as gist, layout, horizontal line, openness, and depth have been shown to guide scene perception (e.g., Oliva & Torralba, 2001); Ross & Oliva, 2009). Here, to investigate whether vanishing point (VP) plays a significant role in gaze guidance, we ran two experiments. In the first one, we recorded fixations of 10 observers (six male, four female; mean age 22; SD = 0.84) freely viewing 532 images, out of which 319 had a VP (shuffled presentation; each image for 4 s). We found that the average number of fixations at a local region (80 × 80 pixels) centered at the VP is significantly higher than the average fixations at random locations (t test; n = 319; p < 0...
November 1, 2016: Journal of Vision
https://www.readbyqxmd.com/read/27900078/video-assisted-thoracoscopic-surgery-for-the-central-bronchogenic-carcinoma-with-invasion-of-the-main-bronchus-and-pulmonary-artery-a-case-report
#17
Jun Wan, Renquan Zhang
Surgical treatment for central bronchogenic carcinoma with invasion of the main bronchus and pulmonary artery often include bronchial anastomosis and pulmonary angioplasty. As a technique, video-assisted thoracoscopic surgery (VATS) lobectomy has proven to reduce the rate of occurrence of complications, and thereby obtain improved survival rates. In the present case study, its use in treating central bronchogenic carcinoma with invasion of the main bronchus and pulmonary artery is reported. A case study of a 68-year-old man with a history of smoking 15-20 cigarettes per day for 40 years is described, who presented with a cough and hemoptysis...
November 2016: Molecular and Clinical Oncology
https://www.readbyqxmd.com/read/27899081/endoscopic-endonasal-pituitary-adenomas-surgery-the-surgical-experience-of-178-consecutive-patients-and-learning-curve-of-two-neurosurgeons
#18
Xuefei Shou, Ming Shen, Qilin Zhang, Yichao Zhang, Wenqiang He, Zengyi Ma, Yao Zhao, Shiqi Li, Yongfei Wang
BACKGROUND: We aim to study surgical technique and analyze the related factors affecting tumor total removal and postoperative endocrinological remission for endoscopic endonasal pituitary adenomas surgery. METHODS: We retrospectively analyzed 178 endoscopic endonasal pituitary adenomas surgery from March 2011 to May 2014. Endonasal approach included the routine transnasal-sphenoidal approach, transnasal- maxillary sinus approach in four cases and transnasal-clivus approach in one case...
November 30, 2016: BMC Neurology
https://www.readbyqxmd.com/read/27898976/development-and-validation-of-a-deep-learning-algorithm-for-detection-of-diabetic-retinopathy-in-retinal-fundus-photographs
#19
Varun Gulshan, Lily Peng, Marc Coram, Martin C Stumpe, Derek Wu, Arunachalam Narayanaswamy, Subhashini Venugopalan, Kasumi Widner, Tom Madams, Jorge Cuadros, Ramasamy Kim, Rajiv Raman, Philip C Nelson, Jessica L Mega, Dale R Webster
Importance: Deep learning is a family of computational methods that allow an algorithm to program itself by learning from a large set of examples that demonstrate the desired behavior, removing the need to specify rules explicitly. Application of these methods to medical imaging requires further assessment and validation. Objective: To apply deep learning to create an algorithm for automated detection of diabetic retinopathy and diabetic macular edema in retinal fundus photographs...
November 29, 2016: JAMA: the Journal of the American Medical Association
https://www.readbyqxmd.com/read/27895550/closed-loop-task-difficulty-adaptation-during-virtual-reality-reach-to-grasp-training-assisted-with-an-exoskeleton-for-stroke-rehabilitation
#20
Florian Grimm, Georgios Naros, Alireza Gharabaghi
Stroke patients with severe motor deficits of the upper extremity may practice rehabilitation exercises with the assistance of a multi-joint exoskeleton. Although this technology enables intensive task-oriented training, it may also lead to slacking when the assistance is too supportive. Preserving the engagement of the patients while providing "assistance-as-needed" during the exercises, therefore remains an ongoing challenge. We applied a commercially available seven degree-of-freedom arm exoskeleton to provide passive gravity compensation during task-oriented training in a virtual environment...
2016: Frontiers in Neuroscience
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