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https://www.readbyqxmd.com/read/28431420/generative-retrieval-improves-learning-and-retention-of-cardiac-anatomy-using-transesophageal-echocardiography
#1
Amanda M Kleiman, Katherine T Forkin, Allison J Bechtel, Stephen R Collins, Jennie Z Ma, Edward C Nemergut, Julie L Huffmyer
BACKGROUND: Transesophageal echocardiography (TEE) is a valuable monitor for patients undergoing cardiac and noncardiac surgery as it allows for evaluation of cardiovascular compromise in the perioperative period. It is challenging for anesthesiology residents and medical students to learn to use and interpret TEE in the clinical environment. A critical component of learning to use and interpret TEE is a strong grasp of normal cardiovascular ultrasound anatomy. METHODS: Fifteen fourth-year medical students and 15 post-graduate year (PGY) 1 and 2 anesthesiology residents without prior training in cardiac anesthesia or TEE viewed normal cardiovascular anatomy TEE video clips; participants were randomized to learning cardiac anatomy in generative retrieval (GR) and standard practice (SP) groups...
May 2017: Anesthesia and Analgesia
https://www.readbyqxmd.com/read/28431275/learning-non-rigid-deformations-for-robust-constrained-point-based-registration-in-image-guided-mr-trus-prostate-intervention
#2
John A Onofrey, Lawrence H Staib, Saradwata Sarkar, Rajesh Venkataraman, Cayce B Nawaf, Preston C Sprenkle, Xenophon Papademetris
Accurate and robust non-rigid registration of pre-procedure magnetic resonance (MR) imaging to intra-procedure trans-rectal ultrasound (TRUS) is critical for image-guided biopsies of prostate cancer. Prostate cancer is one of the most prevalent forms of cancer and the second leading cause of cancer-related death in men in the United States. TRUS-guided biopsy is the current clinical standard for prostate cancer diagnosis and assessment. State-of-the-art, clinical MR-TRUS image fusion relies upon semi-automated segmentations of the prostate in both the MR and the TRUS images to perform non-rigid surface-based registration of the gland...
April 12, 2017: Medical Image Analysis
https://www.readbyqxmd.com/read/28430682/attempted-development-of-a-tool-to-predict-anesthesia-preparation-time-from-patient-related-and-procedure-related-characteristics
#3
Kamal Maheshwari, Jing You, Kenneth C Cummings, Maged Argalious, Daniel I Sessler, Andrea Kurz, Jacek Cywinski
BACKGROUND: Operating room (OR) utilization generally ranges from 50% to 75%. Inefficiencies can arise from various factors, including prolonged anesthesia preparation time, defined as the period from induction of anesthesia until patients are considered ready for surgery. Our goal was to use patient-related and procedure-related factors to develop a model predicting anesthesia preparation time. METHODS: From the electronic medical records of adults who had noncardiac surgery at the Cleveland Clinic Main Campus, we developed a model that used a dozen preoperative factors to predict anesthesia preparation time...
April 19, 2017: Anesthesia and Analgesia
https://www.readbyqxmd.com/read/28430613/development-of-comprehensive-nomograms-for-evaluating-overall-and-cancer-specific-survival-of-laryngeal-squamous-cell-carcinoma-patients-treated-with-neck-dissection
#4
Xiao Shi, Wei-Ping Hu, Qing-Hai Ji
BACKGROUND: Neck dissection for laryngeal squamous cell carcinoma (LSCC) patients could provide complementary prognostic information for AJCC N staging, like lymph node ratio (LNR). The aim of this study was to develop effective nomograms to better predict survival for LSCC patients treated with neck dissection. RESULTS: 2752 patients were identified and randomly divided into training (n = 2477) and validation (n = 275) cohorts. The 3- and 5-year probabilities of cancer-specific mortality (CSM) were 30...
February 16, 2017: Oncotarget
https://www.readbyqxmd.com/read/28430228/quantum-dot-semiconductor-optical-amplifier-role-of-second-excited-state-on-ultrahigh-bit-rate-signal-processing
#5
Seyed Mohsen Izadyar, Mohammad Razaghi, Abdollah Hassanzadeh
In this paper, a theoretical model for a quantum dot semiconductor optical amplifier (QDSOA) is proposed. The dynamics of carriers in ground, excited, and continuum states and wetting layer are considered in this model. The effects of the second excited state (ES2) inclusion are investigated for the first time, to the best of our knowledge, in the proposed QDSOA model. Moreover, the inhomogeneous broadening effect due to size distribution of dots, and the homogeneous broadening effect of a single dot in the gain spectrum by grouping of dots based on their optical resonant frequency, are included in the model...
April 20, 2017: Applied Optics
https://www.readbyqxmd.com/read/28429827/a-descriptive-and-broadly-applicable-model-of-therapeutic-and-stray-absorbed-dose-from-6-mv-to-25-mv-photon-beams
#6
Christopher W Schneider, Wayne D Newhauser, Lydia J Wilson, Uwe Schneider, Robert Kaderka, Saveta Miljanić, Željka Knežević, Liliana Stolarcyzk, Marco Durante, Roger M Harrison
PURPOSE: To develop a simple model of therapeutic and stray absorbed dose for a variety of treatment machines and techniques without relying on proprietary machine-specific parameters. METHODS: Dosimetry measurements conducted in this study and from the literature were used to develop an analytical model of absorbed dose from a variety of treatment machines and techniques in the 6 MV to 25 MV interval. A modified one-dimensional gamma-index analysis was performed to evaluate dosimetric accuracy of the model on an independent dataset consisting of measured dose profiles from seven treatment units spanning four manufacturers...
April 21, 2017: Medical Physics
https://www.readbyqxmd.com/read/28429194/photobiomodulation-therapy-associated-with-treadmill-training-in-the-oxidative-stress-in-a-collagen-induced-arthritis-model
#7
Solange Almeida Dos Santos, Marcia Ataize Dos Santos Vieira, Maira Cécilia Brandão Simões, Andrey Jorge Serra, Ernesto Cesar Leal-Junior, Paulo de Tarso Camillo de Carvalho
Rheumatoid arthritis (RA) is a chronic inflammatory disease characterized by chronic and systemic inflammation, which leads to the destruction of the cartilage and bone and affects tissues in multiple joints. Oxidative stress has been implicated with regards to involvement in various disease conditions, such as diabetes mellitus and neurodegenerative, respiratory, cardiovascular, and RA diseases. In vivo experimental studies using photobiomodulation therapy (PBMT) have shown positive effects in reducing lipid peroxidation and in increasing antioxidant activity...
April 21, 2017: Lasers in Medical Science
https://www.readbyqxmd.com/read/28428140/automated-annotation-and-classification-of-bi-rads-assessment-from-radiology-reports
#8
Sergio M Castro, Eugene Tseytlin, Olga Medvedeva, Kevin Mitchell, Shyam Visweswaran, Tanja Bekhuis, Rebecca S Jacobson
The Breast Imaging Reporting and Data System (BI-RADS) was developed to reduce variation in the descriptions of findings. Manual analysis of breast radiology report data is challenging but is necessary for clinical and healthcare quality assurance activities. The objective of this study is to develop a natural language processing (NLP) system for automated BI-RADS categories extraction from breast radiology reports. We evaluated an existing rule-based NLP algorithm, and then we developed and evaluated our own method using a supervised machine learning approach...
April 17, 2017: Journal of Biomedical Informatics
https://www.readbyqxmd.com/read/28428048/multi-center-machine-learning-in-imaging-psychiatry-a-meta-model-approach
#9
Petr Dluhoš, Daniel Schwarz, Wiepke Cahn, Neeltje van Haren, René Kahn, Filip Španiel, Jiří Horáček, Tomáš Kašpárek, Hugo Schnack
One of the biggest problems in automated diagnosis of psychiatric disorders from medical images is the lack of sufficiently large samples for training. Sample size is especially important in the case of highly heterogeneous disorders such as schizophrenia, where machine learning models built on relatively low numbers of subjects may suffer from poor generalizability. Via multicenter studies and consortium initiatives researchers have tried to solve this problem by combining data sets from multiple sites. The necessary sharing of (raw) data is, however, often hindered by legal and ethical issues...
April 17, 2017: NeuroImage
https://www.readbyqxmd.com/read/28427849/sarcopenia-cachexia-and-muscle-performance-in-heart-failure-review-update-2016
#10
REVIEW
Masakazu Saitoh, Junichi Ishida, Wolfram Doehner, Stephan von Haehling, Markus S Anker, Andrew J S Coats, Stefan D Anker, Jochen Springer
Cachexia in the context of heart failure (HF) has been termed cardiac cachexia, and represents a progressive involuntary weight loss. Cachexia is mainly the result of an imbalance in the homeostasis of muscle protein synthesis and degradation due to a lower activity of protein synthesis pathways and an over-activation of protein degradation. In addition, muscle wasting leads to of impaired functional capacity, even after adjusting for clinical relevant variables in patients with HF. However, there is no sufficient therapeutic strategy in muscle wasting in HF patients and very few studies in animal models...
April 1, 2017: International Journal of Cardiology
https://www.readbyqxmd.com/read/28425181/effects-of-different-aerobic-exercise-frequencies-on%C3%A2-streptozotocin-nicotinamide-induced-type-2-diabetic-rats-continuous-versus-short-bouts-and-weekend-warrior-exercises
#11
Nuray Alaca, Serap Uslu, Guldal Gulec Suyen, Umit Ince, Mustafa Serteser, Hızır Kurtel
BACKGROUND: Exercise training is known to exert multiple beneficial effects on type 2 diabetes mellitus (T2DM). In this study, we aimed at exploring the effects of aerobic exercise frequencies on diabetic parameters, the histopathological structure of skeletal muscle, diabetic myopathy and mitochondrial enzyme activities in an experimental model of T2DM. METHODS: T2DM was induced by using nicotinamide (110 mg/kg) and streptozotocin (65 mg/kg) in Sprague Dawley rats (n: 35)...
April 20, 2017: Journal of Diabetes
https://www.readbyqxmd.com/read/28423049/inmap-a-model-for-air-pollution-interventions
#12
Christopher W Tessum, Jason D Hill, Julian D Marshall
Mechanistic air pollution modeling is essential in air quality management, yet the extensive expertise and computational resources required to run most models prevent their use in many situations where their results would be useful. Here, we present InMAP (Intervention Model for Air Pollution), which offers an alternative to comprehensive air quality models for estimating the air pollution health impacts of emission reductions and other potential interventions. InMAP estimates annual-average changes in primary and secondary fine particle (PM2...
2017: PloS One
https://www.readbyqxmd.com/read/28423041/modeling-the-shape-and-composition-of-the-human-body-using-dual-energy-x-ray-absorptiometry-images
#13
John A Shepherd, Bennett K Ng, Bo Fan, Ann V Schwartz, Peggy Cawthon, Steven R Cummings, Stephen Kritchevsky, Michael Nevitt, Adam Santanasto, Timothy F Cootes
There is growing evidence that body shape and regional body composition are strong indicators of metabolic health. The purpose of this study was to develop statistical models that accurately describe holistic body shape, thickness, and leanness. We hypothesized that there are unique body shape features that are predictive of mortality beyond standard clinical measures. We developed algorithms to process whole-body dual-energy X-ray absorptiometry (DXA) scans into body thickness and leanness images. We performed statistical appearance modeling (SAM) and principal component analysis (PCA) to efficiently encode the variance of body shape, leanness, and thickness across sample of 400 older Americans from the Health ABC study...
2017: PloS One
https://www.readbyqxmd.com/read/28422697/manifold-regularized-correlation-object-tracking
#14
Hongwei Hu, Bo Ma, Jianbing Shen, Ling Shao
In this paper, we propose a manifold regularized correlation tracking method with augmented samples. To make better use of the unlabeled data and the manifold structure of the sample space, a manifold regularization-based correlation filter is introduced, which aims to assign similar labels to neighbor samples. Meanwhile, the regression model is learned by exploiting the block-circulant structure of matrices resulting from the augmented translated samples over multiple base samples cropped from both target and nontarget regions...
April 12, 2017: IEEE Transactions on Neural Networks and Learning Systems
https://www.readbyqxmd.com/read/28422692/safe-screening-rules-for-accelerating-twin-support-vector-machine-classification
#15
Xianli Pan, Zhiji Yang, Yitian Xu, Laisheng Wang
The twin support vector machine (TSVM) is widely used in classification problems, but it is not efficient enough for large-scale data sets. Furthermore, to get the optimal parameter, the exhaustive grid search method is applied to TSVM. It is very time-consuming, especially for multiparameter models. Although many techniques have been presented to solve these problems, all of them always affect the performance of TSVM to some extent. In this paper, we propose a safe screening rule (SSR) for linear-TSVM, and give a modified SSR (MSSR) for nonlinear TSVM, which contains multiple parameters...
April 12, 2017: IEEE Transactions on Neural Networks and Learning Systems
https://www.readbyqxmd.com/read/28422666/efficient-knn-classification-with-different-numbers-of-nearest-neighbors
#16
Shichao Zhang, Xuelong Li, Ming Zong, Xiaofeng Zhu, Ruili Wang
k nearest neighbor (kNN) method is a popular classification method in data mining and statistics because of its simple implementation and significant classification performance. However, it is impractical for traditional kNN methods to assign a fixed k value (even though set by experts) to all test samples. Previous solutions assign different k values to different test samples by the cross validation method but are usually time-consuming. This paper proposes a kTree method to learn different optimal k values for different test/new samples, by involving a training stage in the kNN classification...
April 12, 2017: IEEE Transactions on Neural Networks and Learning Systems
https://www.readbyqxmd.com/read/28422655/validation-of-a-regression-technique-for-segmentation-of-white-matter-hyperintensities-in-alzheimer-s-disease
#17
Mahsa Dadar, Tharick Pascoal, Sarinporn Manitsirikul, Karen Misquitta, Carmela Tartaglia, John Brietner, Pedro Rosa-Neto, Owen Carmichael, Charles DeCarli, D Louis Collins
Segmentation and volumetric quantification of white matter hyperintensities (WMHs) is essential in assessment and monitoring of the vascular burden in aging and Alzheimer's disease (AD), especially when considering their effect on cognition. Manually segmenting WMHs in large cohorts is technically unfeasible due to time and accuracy concerns. Automated tools that can detect WMHs robustly and with high accuracy are needed. Here we present and validate a fully automatic technique for segmentation and volumetric quantification of WMHs in aging and AD...
April 12, 2017: IEEE Transactions on Medical Imaging
https://www.readbyqxmd.com/read/28422525/soccer-match-play-represents-an-important-component-of-the-power-training-stimulus-in-premier-league-players
#18
Ryland Morgans, Rocco Di Michele, Barry Drust
PURPOSE: Competitive match-play is a dominant component of the physical load completed by soccer players within a training micro-cycle. Characterising the temporal disruption in homeostasis that follows exercise may provide some insight into the potential for match-play to elicit an adaptive response. METHODS: Countermovement jump (CMJ) performance was characterised 3 days post-match for 15 outfield players from an English Premier League soccer team (age: 25.8 ± 4...
April 19, 2017: International Journal of Sports Physiology and Performance
https://www.readbyqxmd.com/read/28422153/clinical-pharmacogenetic-models-for-personalized-cancer-treatment-application-to-malignant-mesothelioma
#19
Katja Goričar, Viljem Kovač, Vita Dolžan
Large interindividual differences in treatment outcome are observed in cancer patients undergoing chemotherapy. Our aim was to develop and validate clinical-pharmacogenetic prediction models of gemcitabine/cisplatin or pemetrexed/cisplatin treatment outcome and develop an algorithm for genotype-based treatment recommendations in malignant mesothelioma (MM). We genotyped 189 MM patients for polymorphisms in gemcitabine, pemetrexed and cisplatin metabolism, transport and drug target genes and DNA repair pathways...
April 19, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28421089/using-a-structural-root-system-model-to-evaluate-and-improve-the-accuracy-of-root-image-analysis-pipelines
#20
Guillaume Lobet, Iko T Koevoets, Manuel Noll, Patrick E Meyer, Pierre Tocquin, Loïc Pagès, Claire Périlleux
Root system analysis is a complex task, often performed with fully automated image analysis pipelines. However, the outcome is rarely verified by ground-truth data, which might lead to underestimated biases. We have used a root model, ArchiSimple, to create a large and diverse library of ground-truth root system images (10,000). For each image, three levels of noise were created. This library was used to evaluate the accuracy and usefulness of several image descriptors classically used in root image analysis softwares...
2017: Frontiers in Plant Science
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