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https://www.readbyqxmd.com/read/28343219/simulation-based-training-in-flexible-bronchoscopy-and-endobronchial-ultrasound-guided-transbronchial-needle-aspiration-ebus-tbna-a-systematic-review
#1
Therese Maria Henriette Naur, Philip Mørkeberg Nilsson, Pia Iben Pietersen, Paul Frost Clementsen, Lars Konge
BACKGROUND: The use of simulators in a training programme for technically challenging procedures has the advantages of lowering the risk of patient complications while helping the trainees with the initial part of their learning curve. OBJECTIVES: The aim of this study was to perform a systematic review of simulation-based training in flexible bronchoscopy and endobronchial ultrasound (EBUS). METHODS: We identified 1,006 publications in the PubMed database and included publications on flexible bronchoscopy below the carina and EBUS involving hands-on simulation-based training...
March 25, 2017: Respiration; International Review of Thoracic Diseases
https://www.readbyqxmd.com/read/28342526/use-of-the-cumulative-sum-method-cusum-to-assess-the-learning-curves-of-ultrasound-guided-continuous-femoral-nerve-block
#2
A Kollmann-Camaiora, N Brogly, E Alsina, F Gilsanz
BACKGROUND: Although ultrasound is a basic competence for anaesthesia residents (AR) there is few data available on the learning process. This prospective observational study aims to assess the learning process of ultrasound-guided continuous femoral nerve block and to determine the number of procedures that a resident would need to perform in order to reach proficiency using the cumulative sum (CUSUM) method. METHODS: We recruited 19 AR without previous experience...
March 22, 2017: Revista Española de Anestesiología y Reanimación
https://www.readbyqxmd.com/read/28342523/early-experience-with-a-modified-preloaded-system-for-fenestrated-endovascular-aortic-repair
#3
Blandine Maurel, Tim Resch, Rafaelle Spear, Blayne Roeder, Umberto M Bracale, Stephan Haulon, Tara M Mastracci
OBJECTIVE: Preloaded endovascular delivery systems expand the anatomic eligibility for complex aortic repair by requiring only one iliac access vessel and providing a stable platform for guiding sheaths into challenging target vessels. This article reports the lessons learned and early clinical outcomes using a modified preloaded delivery system for fenestrated endovascular aneurysm repair (FEVAR) in three aortic centers in Europe. METHODS: From October 2015 to March 2016, consecutive patients presenting with extensive aortic aneurysm treated with a modified preloaded FEVAR were prospectively enrolled from three high volume European aortic centers...
April 2017: Journal of Vascular Surgery
https://www.readbyqxmd.com/read/28340495/residents-learning-curve-of-lumbar-transforaminal-epidural-steroid-injections
#4
Holger Joswig, Sarah Roberta Haile, Gerhard Hildebrandt, Martin Nikolaus Stienen
Background and Study Aims There is a paucity of literature on beginners' training and on its connection with patient safety for transforaminal epidural steroid injections (TFESIs). This study retrospectively assessed the learning curves and associated complications of neurosurgery residents never previously exposed to TFESI and compared them with experienced board-certified faculty neurosurgeons (BCFNs). Material and Methods Procedure time in minutes, dose-area product (DAP) in cGy*cm(2), periprocedural observations, and complications in 354 TFESIs for radicular pain secondary to lumbar disk herniation or lumbar spinal stenosis were extracted from operative notes and the electronic infiltration logbook in the per-injection format...
March 24, 2017: Journal of Neurological Surgery. Part A, Central European Neurosurgery
https://www.readbyqxmd.com/read/28339747/deep-learning-for-pharmacovigilance-recurrent-neural-network-architectures-for-labeling-adverse-drug-reactions-in-twitter-posts
#5
Anne Cocos, Alexander G Fiks, Aaron J Masino
Objective: Social media is an important pharmacovigilance data source for adverse drug reaction (ADR) identification. Human review of social media data is infeasible due to data quantity, thus natural language processing techniques are necessary. Social media includes informal vocabulary and irregular grammar, which challenge natural language processing methods. Our objective is to develop a scalable, deep-learning approach that exceeds state-of-the-art ADR detection performance in social media...
February 22, 2017: Journal of the American Medical Informatics Association: JAMIA
https://www.readbyqxmd.com/read/28339585/success-and-complication-rates-of-lead-extraction-with-the-first-vs-the-second-generation-evolution-mechanical-sheath
#6
Olivier A Witte, Ahmet Adiyaman, Jaap Jan J Smit, Anand R Ramdat Misier, Arif Elvan, Abdul Ghani, Peter Paul H M Delnoy
Aims: The Evolution sheath (Cook Medical, USA) is a power sheath frequently used for chronic lead extraction. In 2013, a novel type (bidirectional) of Evolution sheath (the RL type) was introduced. We evaluated differences in success and complication rates of the two types. Methods and results: From 2009 to 2015, all lead extractions requiring the use of an Evolution sheath were prospectively examined. According to the current guidelines, complete procedural success was defined as the removal of all targeted lead materials...
October 6, 2016: Europace: European Pacing, Arrhythmias, and Cardiac Electrophysiology
https://www.readbyqxmd.com/read/28338573/a-machine-learning-based-surface-electromyography-topography-evaluation-for-prognostic-prediction-of-functional-restoration-rehabilitation-in-chronic-low-back-pain
#7
Naifu Jiang, Keith Dip-Kei Luk, Yong Hu
STUDY DESIGN: A retrospective study. OBJECTIVE: To investigate the feasibility and applicability of support vector machine (SVM) algorithm in classifying patients with LBP who would obtain satisfactory or unsatisfactory progress after the functional restoration rehabilitation program. SUMMARY OF BACKGROUND DATA: Dynamic surface electromyography (SEMG) topography has demonstrated the potential use in predicting the prognosis of functional restoration rehabilitation for patients with low back pain (LBP)...
March 23, 2017: Spine
https://www.readbyqxmd.com/read/28336251/distal-extension-of-the-anterior-approach-to-the-hip-using-the-femoral-interbundle-technique-surgical-technique-and-case-series
#8
Stijn G M Ghijselings, Ronald Driesen, Jean-Pierre Simon, Kristoff Corten
BACKGROUND: The direct anterior approach (DAA) is becoming more popular as the standard surgical approach for primary total hip arthroplasty. However, it has been associated with an increased incidence of intraoperative femoral fractures in particular during the learning curve. Distal extension of the approach may be needed in case of intraoperative complications. The aim of the present study is to describe the distal extension of the DAA using the femoral interbundle technique. METHODS: A stepwise approach based on a cadaveric study to extend the DAA distally is presented...
February 24, 2017: Journal of Arthroplasty
https://www.readbyqxmd.com/read/28335739/identification-of-long-non-coding-transcripts-with-feature-selection-a-comparative-study
#9
Giovanna M M Ventola, Teresa M R Noviello, Salvatore D'Aniello, Antonietta Spagnuolo, Michele Ceccarelli, Luigi Cerulo
BACKGROUND: The unveiling of long non-coding RNAs as important gene regulators in many biological contexts has increased the demand for efficient and robust computational methods to identify novel long non-coding RNAs from transcripts assembled with high throughput RNA-seq data. Several classes of sequence-based features have been proposed to distinguish between coding and non-coding transcripts. Among them, open reading frame, conservation scores, nucleotide arrangements, and RNA secondary structure have been used with success in literature to recognize intergenic long non-coding RNAs, a particular subclass of non-coding RNAs...
March 23, 2017: BMC Bioinformatics
https://www.readbyqxmd.com/read/28333183/machine-learning-algorithms-for-objective-remission-and-clinical-outcomes-with-thiopurines
#10
Akbar K Waljee, Kay Sauder, Anand Patel, Sandeep Segar, Boang Liu, Yiwei Zhang, Ji Zhu, Ryan W Stidham, Ulysses Balis, Peter D R Higgins
Background and Aims: Big data analytics leverage patterns in data to harvest valuable information, but are rarely implemented in clinical care. Optimising thiopurine therapy for inflammatory bowel disease [IBD] has proved difficult. Current methods using 6-thioguanine nucleotide [6-TGN] metabolites have failed in randomized controlled trials [RCTs], and have not been used to predict objective remission [OR]. Our aims were to: 1) develop machine learning algorithms [MLA] using laboratory values and age to identify patients in objective remission on thiopurines; and 2) determine whether achieving algorithm-predicted objective remission resulted in fewer clinical events per year...
March 14, 2017: Journal of Crohn's & Colitis
https://www.readbyqxmd.com/read/28332099/integrated-multisystem-analysis-in-a-mental-health-and-criminal-justice-ecosystem
#11
Erin Falconer, Tal El-Hay, Dimitris Alevras, John P Docherty, Chen Yanover, Alan Kalton, Yaara Goldschmidt, Michal Rosen-Zvi
BACKGROUND: Patients with a serious mental illness often receive care that is fragmented due to reduced availability of or access to resources, and inadequate, discontinuous, and uncoordinated care across health, social services, and criminal justice organizations. This article describes the creation of a multisystem analysis that derives insights from an integrated dataset including patient access to case management services, medical services, and interactions with the criminal justice system...
December 2017: Health & Justice
https://www.readbyqxmd.com/read/28331891/differentiation-of-arterioles-from-venules-in-mouse-histology-images-using-machine-learning
#12
J Sachi Elkerton, Yiwen Xu, J Geoffrey Pickering, Aaron D Ward
Analysis and morphological comparison of the arteriolar and venular components of a microvascular network are essential to our understanding of multiple diseases affecting every organ system. We have developed and evaluated the first fully automatic software system for differentiation of arterioles from venules on high-resolution digital histology images of the mouse hind limb immunostained with smooth muscle [Formula: see text]-actin. Classifiers trained on statistical and morphological features by supervised machine learning provided useful classification accuracy for differentiation of arterioles from venules, achieving an area under the receiver operating characteristic curve of 0...
April 2017: Journal of Medical Imaging
https://www.readbyqxmd.com/read/28331847/learning-parsimonious-classification-rules-from-gene-expression-data-using-bayesian-networks-with-local-structure
#13
Jonathan Lyle Lustgarten, Jeya Balaji Balasubramanian, Shyam Visweswaran, Vanathi Gopalakrishnan
The comprehensibility of good predictive models learned from high-dimensional gene expression data is attractive because it can lead to biomarker discovery. Several good classifiers provide comparable predictive performance but differ in their abilities to summarize the observed data. We extend a Bayesian Rule Learning (BRL-GSS) algorithm, previously shown to be a significantly better predictor than other classical approaches in this domain. It searches a space of Bayesian networks using a decision tree representation of its parameters with global constraints, and infers a set of IF-THEN rules...
March 2017: Data (Basel)
https://www.readbyqxmd.com/read/28331493/feasibility-and-safety-of-pressurized-intraperitoneal-aerosol-chemotherapy-for-peritoneal-carcinomatosis-a-retrospective-cohort-study
#14
Martin Hübner, Hugo Teixeira Farinha, Fabian Grass, Anita Wolfer, Patrice Mathevet, Dieter Hahnloser, Nicolas Demartines
Background. Pressurized intraperitoneal aerosol chemotherapy (PIPAC) has been introduced as a novel repeatable treatment for peritoneal carcinomatosis. The available evidence from the pioneer center suggests good tolerance and high response rates, but independent confirmation is needed. A single-center cohort was analyzed one year after implementation for feasibility and safety. Methods. PIPAC was started in January 2015, and every patient was entered into a prospective database. This retrospective analysis included all consecutive patients operated until April 2016 with emphasis on surgical feasibility and early postoperative outcomes...
2017: Gastroenterology Research and Practice
https://www.readbyqxmd.com/read/28330791/value-of-routine-upper-gastrointestinal-swallow-study-after-laparoscopic-sleeve-gastrectomy
#15
Cyril Chivot, Lionel Rebibo, Brice Robert, Abdennaceur Dhahri, Jean-Marc Regimbeau, Thierry Yzet
BACKGROUND: Gastric leak (GL) is one of the main early-onset postoperative complications of sleeve gastrectomy (SG). Many institutions perform routine upper gastrointestinal (UGI) contrast studies within 24 hours of surgery, looking for GL or gastric stenosis and to determine the need for urgent re-exploration, but this examination delays oral feeding, can cause side effects and is responsible for systematic and probably unnecessary irradiation of the patient. OBJECTIVE: Determine the efficacy of routine UGI contrast studies to predict postoperative complications after SG in a large population...
February 10, 2017: Surgery for Obesity and related Diseases: Official Journal of the American Society for Bariatric Surgery
https://www.readbyqxmd.com/read/28328569/mid-term-follow-up-of-minimally-invasive-multivessel-coronary-artery-bypass-grafting-is-the-early-learning-phase-detrimental
#16
Maria Lorena Rodriguez, Harry R Lapierre, Benjamin Sohmer, David Glineur, Marc Ruel
OBJECTIVE: Minimally invasive coronary artery bypass grafting (MICS CABG) through a small left thoracotomy is a novel technique for surgical coronary revascularization, which is increasingly being adopted around the world. This study aimed to describe the characteristics and mid-term outcomes of a series of MICS CABG to identify areas for improvement. METHODS: A prospective longitudinal study was performed on the 306 MICS CABG patients operated on by a single surgeon from 2005 to 2015...
March 22, 2017: Innovations: Technology and Techniques in Cardiothoracic and Vascular Surgery
https://www.readbyqxmd.com/read/28327195/does-rating-the-operation-videos-with-a-checklist-score-improve-the-effect-of-e-learning-for-bariatric-surgical-training-study-protocol-for-a-randomized-controlled-trial
#17
Javier Rodrigo De La Garza, Karl-Friedrich Kowalewski, Mirco Friedrich, Mona Wanda Schmidt, Thomas Bruckner, Hannes Götz Kenngott, Lars Fischer, Beat-Peter Müller-Stich, Felix Nickel
BACKGROUND: Laparoscopic training has become an important part of surgical education. Laparoscopic Roux-en-Y gastric bypass (RYGB) is the most common bariatric procedure performed. Surgeons must be well trained prior to operating on a patient. Multimodality training is vital for bariatric surgery. E-learning with videos is a standard approach for training. The present study investigates whether scoring the operation videos with performance checklists improves learning effects and transfer to a simulated operation...
March 21, 2017: Trials
https://www.readbyqxmd.com/read/28326009/improving-eeg-based-driver-fatigue-classification-using-sparse-deep-belief-networks
#18
Rifai Chai, Sai Ho Ling, Phyo Phyo San, Ganesh R Naik, Tuan N Nguyen, Yvonne Tran, Ashley Craig, Hung T Nguyen
This paper presents an improvement of classification performance for electroencephalography (EEG)-based driver fatigue classification between fatigue and alert states with the data collected from 43 participants. The system employs autoregressive (AR) modeling as the features extraction algorithm, and sparse-deep belief networks (sparse-DBN) as the classification algorithm. Compared to other classifiers, sparse-DBN is a semi supervised learning method which combines unsupervised learning for modeling features in the pre-training layer and supervised learning for classification in the following layer...
2017: Frontiers in Neuroscience
https://www.readbyqxmd.com/read/28324938/application-of-semi-supervised-deep-learning-to-lung-sound-analysis
#19
Daniel Chamberlain, Rahul Kodgule, Daniela Ganelin, Vivek Miglani, Richard Ribon Fletcher
The analysis of lung sounds, collected through auscultation, is a fundamental component of pulmonary disease diagnostics for primary care and general patient monitoring for telemedicine. Despite advances in computation and algorithms, the goal of automated lung sound identification and classification has remained elusive. Over the past 40 years, published work in this field has demonstrated only limited success in identifying lung sounds, with most published studies using only a small numbers of patients (typically N<;20) and usually limited to a single type of lung sound...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28323285/utilization-of-machine-learning-for-prediction-of-post-traumatic-stress-a-re-examination-of-cortisol-in-the-prediction-and-pathways-to-non-remitting-ptsd
#20
I R Galatzer-Levy, S Ma, A Statnikov, R Yehuda, A Y Shalev
To date, studies of biological risk factors have revealed inconsistent relationships with subsequent post-traumatic stress disorder (PTSD). The inconsistent signal may reflect the use of data analytic tools that are ill equipped for modeling the complex interactions between biological and environmental factors that underlay post-traumatic psychopathology. Further, using symptom-based diagnostic status as the group outcome overlooks the inherent heterogeneity of PTSD, potentially contributing to failures to replicate...
March 21, 2017: Translational Psychiatry
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