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https://www.readbyqxmd.com/read/27935361/acute-impairment-of-saccadic-eye-movements-is-associated-with-delayed-cerebral-ischemia-after-aneurysmal-subarachnoid-hemorrhage
#1
Matthew J Rowland, Payashi Garry, Jon Westbrook, Rufus Corkill, Chrystalina A Antoniades, Kyle T S Pattinson
OBJECTIVE Delayed cerebral ischemia (DCI) causing cerebral infarction remains a significant cause of morbidity and mortality following aneurysmal subarachnoid hemorrhage (aSAH). Early brain injury in the first 72 hours following rupture is likely to play a key role in the pathophysiology underlying DCI but remains difficult to quantify objectively. Current diagnostic modalities are based on the concept of vasoconstriction causing cerebral ischemia and infarction and are either invasive or have a steep learning curve and user variability...
December 9, 2016: Journal of Neurosurgery
https://www.readbyqxmd.com/read/27933135/impact-of-laparoscopic-surgery-training-laboratory-on-surgeon-s-performance
#2
REVIEW
Fabio C M Torricelli, Joao Arthur B A Barbosa, Giovanni S Marchini
Minimally invasive surgery has been replacing the open standard technique in several procedures. Similar or even better postoperative outcomes have been described in laparoscopic or robot-assisted procedures when compared to open surgery. Moreover, minimally invasive surgery has been providing less postoperative pain, shorter hospitalization, and thus a faster return to daily activities. However, the learning curve required to obtain laparoscopic expertise has been a barrier in laparoscopic spreading. Laparoscopic surgery training laboratory has been developed to aid surgeons to overcome the challenging learning curve...
November 27, 2016: World Journal of Gastrointestinal Surgery
https://www.readbyqxmd.com/read/27932531/development-of-type-2-diabetes-mellitus-phenotyping-framework-using-expert-knowledge-and-machine-learning-approach
#3
Rina Kagawa, Yoshimasa Kawazoe, Yusuke Ida, Emiko Shinohara, Katsuya Tanaka, Takeshi Imai, Kazuhiko Ohe
BACKGROUND: Phenotyping is an automated technique that can be used to distinguish patients based on electronic health records. To improve the quality of medical care and advance type 2 diabetes mellitus (T2DM) research, the demand for T2DM phenotyping has been increasing. Some existing phenotyping algorithms are not sufficiently accurate for screening or identifying clinical research subjects. OBJECTIVE: We propose a practical phenotyping framework using both expert knowledge and a machine learning approach to develop 2 phenotyping algorithms: one is for screening; the other is for identifying research subjects...
December 7, 2016: Journal of Diabetes Science and Technology
https://www.readbyqxmd.com/read/27932307/modular-training-for-robot-assisted-radical-prostatectomy-where-to-begin
#4
Catherine Lovegrove, Kamran Ahmed, Giacomo Novara, Khurshid Guru, Alex Mottrie, Ben Challacombe, Henk Van der Poel, James Peabody, Prokar Dasgupta
OBJECTIVE: Effective training is paramount for patient safety. Modular training entails advancing through surgical steps of increasing difficulty. This study aimed to construct a modular training pathway for use in robot-assisted radical prostatectomy (RARP). It aims to identify the sequence of procedural steps that are learnt before surgeons are able to perform a full procedure without an intervention from mentor. DESIGN: This is a multi-institutional, prospective, observational, longitudinal study...
December 5, 2016: Journal of Surgical Education
https://www.readbyqxmd.com/read/27931014/implicit-and-explicit-motor-sequence-learning-in-children-born-very-preterm
#5
Marjolein Jongbloed-Pereboom, Anjo J W M Janssen, K Steiner, Bert Steenbergen, Maria W G Nijhuis-van der Sanden
BACKGROUND: Motor skills can be learned explicitly (dependent on working memory (WM)) or implicitly (relatively independent of WM). Children born very preterm (VPT) often have working memory deficits. Explicit learning may be compromised in these children. AIMS: This study investigated implicit and explicit motor learning and the role of working memory in VPT children and controls. METHODS: Three groups (6-9 years) participated: 20 VPT children with motor problems, 20 VPT children without motor problems, and 20 controls...
December 5, 2016: Research in Developmental Disabilities
https://www.readbyqxmd.com/read/27930604/an-automated-expanded-polytetrafluoroethylene-suturing-and-coaxial-fastener-system-for-mitral-chordae-replacement-strength-feasibility-and-healing
#6
Candice Y Lee, Joshua K Wong, Jude S Sauer, Heather R Gorea, Angelo J Martellaro, Andrew R Sifain, Peter A Knight
OBJECTIVE: Mitral valve (MV) chordae replacements can be technically challenging. Technology that remotely delivers and accurately secures artificial chordae may reduce the learning curve and improve the reliability of MV repairs. METHODS: The technology involved two devices: a remote suturing device for delivery of expanded polytetrafluoroethylene (ePTFE) suture to the papillary muscle and a Coaxial titanium suture fastener (TF) device with integrated saline infusion for real-time determination of chordae length during fixation...
December 7, 2016: Innovations: Technology and Techniques in Cardiothoracic and Vascular Surgery
https://www.readbyqxmd.com/read/27925650/a-pupil-size-response-model-to-assess-fear-learning
#7
Christoph W Korn, Matthias Staib, Athina Tzovara, Giuseppe Castegnetti, Dominik R Bach
During fear conditioning, pupil size responses dissociate between conditioned stimuli that are contingently paired (CS+) with an aversive unconditioned stimulus, and those that are unpaired (CS-). Current approaches to assess fear learning from pupil responses rely on ad hoc specifications. Here, we sought to develop a psychophysiological model (PsPM) in which pupil responses are characterized by response functions within the framework of a linear time-invariant system. This PsPM can be written as a general linear model, which is inverted to yield amplitude estimates of the eliciting process in the central nervous system...
December 7, 2016: Psychophysiology
https://www.readbyqxmd.com/read/27925649/the-predictive-value-of-ultrasound-learning-curves-across-simulated-and-clinical-settings
#8
Mette E Madsen, Lone N Nørgaard, Ann Tabor, Lars Konge, Charlotte Ringsted, Martin G Tolsgaard
OBJECTIVES: The aim of the study was to explore whether learning curves on a virtual-reality (VR) sonographic simulator can be used to predict subsequent learning curves on a physical mannequin and learning curves during clinical training. METHODS: Twenty midwives completed a simulation-based training program in transvaginal sonography. The training was conducted on a VR simulator as well as on a physical mannequin. A subgroup of 6 participants underwent subsequent clinical training...
November 30, 2016: Journal of Ultrasound in Medicine: Official Journal of the American Institute of Ultrasound in Medicine
https://www.readbyqxmd.com/read/27925339/incidence-of-cardiac-perforation-with-conventional-and-with-leadless-pacemaker-systems-a-systematic-review-and-meta-analysis
#9
Mate Vamos, Julia W Erath, Alexander P Benz, Zsolt Bari, Gabor Z Duray, Stefan H Hohnloser
INTRODUCTION: Two leadless pacemaker (PM) systems were recently developed to avoid pocket- and lead-related complications. As leadless PMs are implanted with a large delivery catheter, cardiac perforation remains a major safety concern. We aimed to provide a literature review on incidence of cardiac perforation with conventional and with leadless PM systems. METHODS AND RESULTS: A systematic review over the last 25 years for studies reporting data on PM lead perforation was performed...
December 7, 2016: Journal of Cardiovascular Electrophysiology
https://www.readbyqxmd.com/read/27925235/quantification-of-operational-learning-in-minimal-invasive-extracorporeal-circulation
#10
Kyriakos Anastasiadis, Polychronis Antonitsis, Christos Asteriou, Helena Argiriadou, Apostolos Deliopoulos, Dimitrios Konstantinou, Vassilios Grosomanidis, Paschalis Tossios
Minimal invasive extracorporeal circulation (MiECC) has initiated important new efforts within science and technology towards a more physiologic perfusion. In this study, we aim to investigate the learning curve of our center regarding MiECC. We studied a series of 150 consecutive patients who underwent elective coronary artery bypass grafting by the same surgical team during the initial phase of MiECC application. Patients were randomly assigned into two groups. Group A (n = 75) included patients operated on MiECC, while group B (n = 75) included patients operated with conventional cardiopulmonary bypass (cCPB)...
December 7, 2016: Artificial Organs
https://www.readbyqxmd.com/read/27922974/training-and-validating-a-deep-convolutional-neural-network-for-computer-aided-detection-and-classification-of-abnormalities-on-frontal-chest-radiographs
#11
Mark Cicero, Alexander Bilbily, Errol Colak, Tim Dowdell, Bruce Gray, Kuhan Perampaladas, Joseph Barfett
OBJECTIVES: Convolutional neural networks (CNNs) are a subtype of artificial neural network that have shown strong performance in computer vision tasks including image classification. To date, there has been limited application of CNNs to chest radiographs, the most frequently performed medical imaging study. We hypothesize CNNs can learn to classify frontal chest radiographs according to common findings from a sufficiently large data set. MATERIALS AND METHODS: Our institution's research ethics board approved a single-center retrospective review of 35,038 adult posterior-anterior chest radiographs and final reports performed between 2005 and 2015 (56% men, average age of 56, patient type: 24% inpatient, 39% outpatient, 37% emergency department) with a waiver for informed consent...
December 5, 2016: Investigative Radiology
https://www.readbyqxmd.com/read/27921241/introducing-transcatheter-aortic-valve-implantation-with-a%C3%A2-new-generation-prosthesis-institutional-learning-curve-and-effects-on-acute-outcomes
#12
G D'Ancona, H U Agma, S Kische, G El-Achkar, M Dißmann, J Ortak, H Ince, U Ketterer, A Bärisch, A Öner
OBJECTIVES: We present our single-centre experience with the direct flow medical (DFM) trans-catheter aortic valve implantation (TAVI) prosthesis addressing the impact of learning curve upon outcomes. BACKGROUND: The DFM has been recently introduced for TAVI. The prosthesis presents original design and implantation features. METHODS: Patients were divided into three groups according to the chronological implantation sequence that reflected technical skills acquisition of the entire team...
December 5, 2016: Netherlands Heart Journal
https://www.readbyqxmd.com/read/27919471/microvascular-coupling-devices-neglected-resource-with-a-short-learning-curve
#13
W R Thompson, A Burns, S Endersby, M Nugent
Microvascular couplers have a record of efficiency and efficacy. They have been used in anastomoses in the head and neck in Sunderland since November 2013, where we have investigated the time taken for anastomosis, patency, and cost. We also completed a national survey of the use of couplers in the United Kingdom, in which we recorded the time of anastomosis. The mean (range) time was 4minutes (2minutes 40seconds - 4minutes 10seconds). One flap partially failed. This shows that couplers can save time, they have successful outcomes, and the technique is quick and easy to learn...
December 2, 2016: British Journal of Oral & Maxillofacial Surgery
https://www.readbyqxmd.com/read/27919259/functional-and-radiographic-outcomes-of-hallux-valgus-correction-by-mini-invasive-surgery-with-reverdin-isham-and-akin-percutaneous-osteotomies-a-longitudinal-prospective-study-with-a-48-month-follow-up
#14
Carlo Biz, Michele Fosser, Miki Dalmau-Pastor, Marco Corradin, Maria Grazia Rodà, Roberto Aldegheri, Pietro Ruggieri
BACKGROUND: Minimally invasive surgery (MIS) represents one of the most innovative surgical treatments of hallux valgus (HV). However, long-term outcomes still remain a matter of discussion within the orthopaedic community. The purpose of this longitudinal prospective study was to evaluate radiographic and functional outcomes in patients with mild-to-severe HV who underwent Reverdin-Isham and Akin percutaneous osteotomy, following exostosectomy and lateral release. METHODS: Eighty patients with mild-to-severe symptomatic HV were treated by MIS...
December 5, 2016: Journal of Orthopaedic Surgery and Research
https://www.readbyqxmd.com/read/27918355/experienced-dsaek-surgeon-s-transition-to-dmek-outcomes-comparing-the-last-100-dsaek-surgeries-with-the-first-100-dmek-surgeries-exclusively-using-previously-published-techniques
#15
Paul M Phillips, Louis J Phillips, Valliamai Muthappan, Charlene M Maloney, Christopher N Carver
PURPOSE: To compare outcomes of Descemet stripping automated endothelial keratoplasty (DSAEK) and Descemet membrane endothelial keratoplasty (DMEK) when an experienced DSAEK surgeon transitions to DMEK while following 2 published endothelial keratoplasty surgical techniques. METHODS: This is a retrospective review of 200 eyes of 132 patients with Fuchs corneal dystrophy that underwent endothelial keratoplasty performed by one surgeon. Published, standardized techniques were followed for both DSAEK and DMEK...
December 1, 2016: Cornea
https://www.readbyqxmd.com/read/27917508/estimating-personalized-diagnostic-rules-depending-on-individualized-characteristics
#16
Ying Liu, Yuanjia Wang, Chaorui Huang, Donglin Zeng
There is an increasing demand for personalization of disease screening based on assessment of patient risk and other characteristics. For example, in breast cancer screening, advanced imaging technologies have made it possible to move away from 'one-size-fits-all' screening guidelines to targeted risk-based screening for those who are in need. Because diagnostic performance of various imaging modalities may vary across subjects, applying the most accurate modality to the patients who would benefit the most requires personalized strategy...
December 4, 2016: Statistics in Medicine
https://www.readbyqxmd.com/read/27916028/-structured-training-strategy-for-robot-surgery
#17
H Q Xi, K C Zhang, B Wei, L Chen
With surgical strategy progresses towarding to precision and minimally invasive surgery, the Da Vinci robotic surgical system comes into being. Compared with conventional surgery, the Da Vinci robotic surgical system enjoys several advantages including clear operation field, flexibility and tremor filtration.Normative operation plays an important role in translating such advantages into clinical benefits.Training physicians systematically and comprehensively is very important. Compared with conventional training strategy, multi-modal simulation training is more preferred for the Da Vinci robotic surgical system training...
December 1, 2016: Zhonghua Wai Ke za Zhi [Chinese Journal of Surgery]
https://www.readbyqxmd.com/read/27914178/longitudinal-assessment-of-examiner-experience-and-the-accuracy-of-sonographic-fetal-weight-estimation-at-term
#18
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
#19
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
#20
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
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