keyword
https://read.qxmd.com/read/38652410/dose-response-modelling-of-resistance-exercise-across-outcome-domains-in-strength-and-conditioning-a-meta-analysis
#1
Paul Alan Swinton, Brad J Schoenfeld, Andrew Murphy
BACKGROUND: Resistance exercise is the most common training modality included within strength and conditioning (S&C) practice. Understanding dose-response relationships between resistance training and a range of outcomes relevant to physical and sporting performance is of primary importance for quality S&C prescription. OBJECTIVES: The aim of this meta-analysis was to use contemporary modelling techniques to investigate resistance-only and resistance-dominant training interventions, and explore relationships between training variables (frequency, volume, intensity), participant characteristics (training status, sex), and improvements across a range of outcome domains including maximum strength, power, vertical jump, change of direction, and sprinting performance...
April 23, 2024: Sports Medicine
https://read.qxmd.com/read/38651625/comprehensive-analysis-of-synthetic-learning-applied-to-neonatal-brain-mri-segmentation
#2
JOURNAL ARTICLE
R Valabregue, F Girka, A Pron, F Rousseau, G Auzias
Brain segmentation from neonatal MRI images is a very challenging task due to large changes in the shape of cerebral structures and variations in signal intensities reflecting the gestational process. In this context, there is a clear need for segmentation techniques that are robust to variations in image contrast and to the spatial configuration of anatomical structures. In this work, we evaluate the potential of synthetic learning, a contrast-independent model trained using synthetic images generated from the ground truth labels of very few subjects...
April 15, 2024: Human Brain Mapping
https://read.qxmd.com/read/38651432/blood-flow-restriction-during-walking-does-not-impact-body-composition-or-performance-measures-in-highly-trained-runners
#3
JOURNAL ARTICLE
Ashley A Herda, Christopher J Cleary, Dana Young, KathleenMae B Rogers, Santiago E Umana Segura, Christopher Bernard, Lisa M Vopat, Bryan G Vopat
Blood flow restriction (BFR) is a commonly used training modality that has been demonstrated to enhance muscle characteristics such as size and function. The purpose of this study was to determine if a 4-week walking program with or without BFR in healthy, active adults has an effect on body composition, anaerobic, and aerobic running performance. Thirty-three participants, randomized among three groups, completed the walking program, which included five sets of 2 min walking intervals with 1 min rest, with or without BFR, or 10 min walking with BFR...
April 13, 2024: Journal of Functional Morphology and Kinesiology
https://read.qxmd.com/read/38650113/low-volume-speed-endurance-training-with-reduced-volume-improves-short-term-exercise-performance-in-highly-trained-cyclists
#4
JOURNAL ARTICLE
Jan S Jeppesen, Kate A Wickham, Martin Zeuthen, Martin Thomassen, Søren Jessen, Ylva Hellsten, Morten Hostrup, Jens Bangsbo
PURPOSE: We investigated the effects of low and high volume speed endurance training (SET), with a reduced training volume, on sprint ability, short- and long-term exercise capacity, muscle mitochondrial properties, ion transport proteins and maximal enzyme activity in highly trained athletes. METHODS: Highly-trained male cyclists (V̇O2max: 68.3 ± 5.0 mL × min-1 × kg-1, n = 24) completed six weeks of either low (SET-L; 6x30-s intervals, n = 8) or high (SET-H; 12 × 30-s intervals, n = 8) volume SET twice per week with a 30%-reduction in training volume...
April 23, 2024: Medicine and Science in Sports and Exercise
https://read.qxmd.com/read/38649140/df-qsm-data-fidelity-based-hybrid-approach-for-improved-quantitative-susceptibility-mapping-of-the-brain
#5
JOURNAL ARTICLE
Naveen Paluru, Raji Susan Mathew, Phaneendra K Yalavarthy
Quantitative Susceptibility Mapping (QSM) is an advanced magnetic resonance imaging (MRI) technique to quantify the magnetic susceptibility of the tissue under investigation. Deep learning methods have shown promising results in deconvolving the susceptibility distribution from the measured local field obtained from the MR phase. Although existing deep learning based QSM methods can produce high-quality reconstruction, they are highly biased toward training data distribution with less scope for generalizability...
April 22, 2024: NMR in Biomedicine
https://read.qxmd.com/read/38648455/a-practical-model-for-effective-eye-care-delivery-in-southeast-asian-rural-communities-a-proposal-built-based-on-experts-recommendations
#6
JOURNAL ARTICLE
Renee Liu, Ashita A Sule, Choo Sheriel Shannon, Thulasiraj Ravilla, Hugh Taylor, William Rojas-Carabali, Rohit C Khanna, Chitaranjan Mishra, Alok Sen, Anadi Khatri, Anna C S Tan, Lucia Sobrin, Rupesh Agrawal
PURPOSE: To evaluate rural community-based eye care models from the perspective of community ophthalmology experts and suggest sustainable technological solutions for enhancing rural eye care delivery. METHODS: A semi-structured descriptive survey, using close-ended and open-ended questions, was administered to the experts in community ophthalmology sourced through purposive sampling. The survey was self-administered and was facilitated through online platforms or in-person meetings...
May 1, 2024: Indian Journal of Ophthalmology
https://read.qxmd.com/read/38647041/diagnostic-model-for-proliferative-hcc-using-li-rads-assessing-therapeutic-outcomes-in-hepatectomy-and-tki-ici-combination
#7
JOURNAL ARTICLE
Mengtian Lu, Zuyi Yan, Qi Qu, Guodong Zhu, Lei Xu, Maotong Liu, Jifeng Jiang, Chunyan Gu, Ying Chen, Tao Zhang, Xueqin Zhang
BACKGROUND: Proliferative hepatocellular carcinoma (HCC), aggressive with poor prognosis, and lacks reliable MRI diagnosis. PURPOSE: To develop a diagnostic model for proliferative HCC using liver imaging reporting and data system (LI-RADS) and assess its prognostic value. STUDY TYPE: Retrospective. POPULATION: 241 HCC patients underwent hepatectomy (90 proliferative HCCs: 151 nonproliferative HCCs), divided into the training (N = 167) and validation (N = 74) sets...
April 22, 2024: Journal of Magnetic Resonance Imaging: JMRI
https://read.qxmd.com/read/38643183/ras-dataset-a-3d-cardiac-lge-mri-dataset-for-segmentation-of-right-atrial-cavity
#8
JOURNAL ARTICLE
Jinwen Zhu, Jieyun Bai, Zihao Zhou, Yaqi Liang, Zhiting Chen, Xiaoming Chen, Xiaoshen Zhang
The current challenge in effectively treating atrial fibrillation (AF) stems from a limited understanding of the intricate structure of the human atria. The objective and quantitative interpretation of the right atrium (RA) in late gadolinium-enhanced magnetic resonance imaging (LGE-MRI) scans relies heavily on its precise segmentation. Leveraging the potential of artificial intelligence (AI) for RA segmentation presents a promising solution. However, the successful implementation of AI in this context necessitates access to a substantial volume of annotated LGE-MRI images for model training...
April 20, 2024: Scientific Data
https://read.qxmd.com/read/38642779/rapid-2d-23-na-mri-of-the-calf-using-a-denoising-convolutional-neural-network
#9
JOURNAL ARTICLE
Rebecca R Baker, Vivek Muthurangu, Marilena Rega, Stephen B Walsh, Jennifer A Steeden
PURPOSE: 23 Na MRI can be used to quantify in-vivo tissue sodium concentration (TSC), but the inherently low 23 Na signal leads to long scan times and/or noisy or low-resolution images. Reconstruction algorithms such as compressed sensing (CS) have been proposed to mitigate low signal-to-noise ratio (SNR); although, these can result in unnatural images, suboptimal denoising and long processing times. Recently, machine learning has been increasingly used to denoise 1 H MRI acquisitions; however, this approach typically requires large volumes of high-quality training data, which is not readily available for 23 Na MRI...
April 18, 2024: Magnetic Resonance Imaging
https://read.qxmd.com/read/38640100/deep-aramaic-towards-a-synthetic-data-paradigm-enabling-machine-learning-in-epigraphy
#10
JOURNAL ARTICLE
Andrei C Aioanei, Regine R Hunziker-Rodewald, Konstantin M Klein, Dominik L Michels
Epigraphy is witnessing a growing integration of artificial intelligence, notably through its subfield of machine learning (ML), especially in tasks like extracting insights from ancient inscriptions. However, scarce labeled data for training ML algorithms severely limits current techniques, especially for ancient scripts like Old Aramaic. Our research pioneers an innovative methodology for generating synthetic training data tailored to Old Aramaic letters. Our pipeline synthesizes photo-realistic Aramaic letter datasets, incorporating textural features, lighting, damage, and augmentations to mimic real-world inscription diversity...
2024: PloS One
https://read.qxmd.com/read/38638450/cellsnap-a-fast-accurate-algorithm-for-3d-cell-segmentation-in-quantitative-phase-imaging
#11
JOURNAL ARTICLE
Piyush Raj, Santosh Kumar Paidi, Lauren Conway, Arnab Chatterjee, Ishan Barman
SIGNIFICANCE: Three-dimensional quantitative phase imaging (QPI) has rapidly emerged as a complementary tool to fluorescence imaging, as it provides an objective measure of cell morphology and dynamics, free of variability due to contrast agents. It has opened up new directions of investigation by providing systematic and correlative analysis of various cellular parameters without limitations of photobleaching and phototoxicity. While current QPI systems allow the rapid acquisition of tomographic images, the pipeline to analyze these raw three-dimensional (3D) tomograms is not well-developed...
June 2024: Journal of Biomedical Optics
https://read.qxmd.com/read/38638032/effect-of-5-2-regimens-energy-restricted-diet-or-low-volume-high-intensity-interval-training-combined-with-resistance-exercise-on-glycemic-control-and-cardiometabolic-health-in-adults-with-overweight-obesity-and-type-2-diabetes-a-three-arm-randomized-controlled
#12
JOURNAL ARTICLE
Mian Li, Jie Li, Yu Xu, Jinli Gao, Qiuyu Cao, Yi Ding, Zhuojun Xin, Ming Lu, Xiaoting Li, Haihong Song, Jue Shen, Tianzhichao Hou, Ruixin He, Ling Li, Zhiyun Zhao, Min Xu, Jieli Lu, Tiange Wang, Shuangyuan Wang, Hong Lin, Ruizhi Zheng, Jie Zheng, Callum John Baker, Shenghan Lai, Nathan Anthony Johnson, Guang Ning, Stephen Morris Twigg, Weiqing Wang, Yan Liu, Yufang Bi
OBJECTIVE: We aimed to examine the effects of a 5:2 regimens diet (2 days per week of energy restriction by formula diet) or an exercise (2 days per week of high-intensity interval training and resistance training) intervention compared with routine lifestyle education (control) on glycemic control and cardiometabolic health among adults with overweight/obesity and type 2 diabetes. RESEARCH DESIGN AND METHODS: This two-center, open-label, three-arm, parallel-group, randomized controlled trial recruited 326 participants with overweight/obesity and type 2 diabetes and randomized them into 12 weeks of diet intervention (n = 109), exercise intervention (n = 108), or lifestyle education (control) (n = 109)...
April 18, 2024: Diabetes Care
https://read.qxmd.com/read/38637651/three-dimensional-biphase-fabric-estimation-from-2d-images-by-deep-learning
#13
JOURNAL ARTICLE
Daniel Chou, Matias Etcheverry, Chloé Arson
A pruned VGG19 model subjected to Axial Coronal Sagittal (ACS) convolutions and a custom VGG16 model are benchmarked to predict 3D fabric descriptors from a set of 2D images. The data used for training and testing are extracted from a set of 600 3D biphase microstructures created numerically. Fabric descriptors calculated from the 3D microstructures constitute the ground truth, while the input data are obtained by slicing the 3D microstructures in each direction of space at regular intervals. The computational cost to train the custom ACS-VGG19 model increases linearly with p (the number of images extracted in each direction of space), and increasing p does not improve the performance of the model - or only does so marginally...
April 18, 2024: Scientific Reports
https://read.qxmd.com/read/38635743/effects-of-various-living-low-and-training-high-modes-with-distinct-training-prescriptions-on-sea-level-performance-a-network-meta-analysis
#14
JOURNAL ARTICLE
Xinmiao Feng, Yonghui Chen, Teishuai Yan, Hongyuan Lu, Chuangang Wang, Linin Zhao
This study aimed to separately compare and rank the effect of various living-low and training-high (LLTH) modes on aerobic and anaerobic performances in athletes, focusing on training intensity, modality, and volume, through network meta-analysis. We systematically searched PubMed, Web of Science, Embase, EBSCO, and Cochrane from their inception date to June 30, 2023. Based on the hypoxic training modality and the intensity and duration of work intervals, LLTH was divided into intermittent hypoxic exposure, continuous hypoxic training, repeated sprint training in hypoxia (RSH; work interval: 5-10 s and rest interval: approximately 30 s), interval sprint training in hypoxia (ISH; work interval: 15-30 s), short-duration high-intensity interval training (s-IHT; short work interval: 1-2 min), long-duration high-intensity interval training (l-IHT; long work interval: > 5 min), and continuous and interval training under hypoxia...
2024: PloS One
https://read.qxmd.com/read/38634859/deep-learning-based-optimization-of-field-geometry-for-total-marrow-irradiation-delivered-with-volumetric-modulated-arc-therapy
#15
JOURNAL ARTICLE
Nicola Lambri, Giorgio Longari, Daniele Loiacono, Ricardo Coimbra Brioso, Leonardo Crespi, Carmela Galdieri, Francesca Lobefalo, Giacomo Reggiori, Roberto Rusconi, Stefano Tomatis, Luisa Bellu, Stefania Bramanti, Elena Clerici, Chiara De Philippis, Damiano Dei, Pierina Navarria, Carmelo Carlo-Stella, Ciro Franzese, Marta Scorsetti, Pietro Mancosu
BACKGROUND: Total marrow (lymphoid) irradiation (TMI/TMLI) is a radiotherapy treatment used to selectively target the bone marrow and lymph nodes in conditioning regimens for allogeneic hematopoietic stem cell transplantation. A complex field geometry is needed to cover the large planning target volume (PTV) of TMI/TMLI with volumetric modulated arc therapy (VMAT). Five isocenters and ten overlapping fields are needed for the upper body, while, for patients with large anatomical conformation, two specific isocenters are placed on the arms...
April 18, 2024: Medical Physics
https://read.qxmd.com/read/38633821/endoscopic-retrograde-cholangiopancreatography-on-pediatric-patients-experience-of-a-portuguese-adult-gastroenterology-department
#16
JOURNAL ARTICLE
Rita Ornelas Saraiva, Verónica Pavão Borges, Mário Jorge Silva, Rafaela Loureiro, Tiago Capela, Gonçalo Ramos, Jorge Canena, António Mateus Dias, Rui Alves, João Coimbra
INTRODUCTION: Experience with endoscopic retrograde cholangiopancreatography (ERCP) in the pediatric population is limited. Few medical centers have experts specifically trained in pediatric therapeutic endoscopy. As a result, patients are generally referred to adult endoscopists with high experience in the procedure. The aim of this study was to characterize the experience of an adult endoscopy unit with ERCP on pediatric patients, with a special focus on very young patients. METHODS: We retrospectively analyzed indications, technical success rate, final clinical diagnosis, and complications of ERCPs in children <18 years at our tertiary referral hospital center between January 1994 and June 2022...
April 2024: GE Portuguese Journal of Gastroenterology
https://read.qxmd.com/read/38633724/development-and-internal-validation-of-a-risk-prediction-model-for-carotid-atherosclerosis-in-the-hyperuricemia-population
#17
JOURNAL ARTICLE
Ximisinuer Tusongtuoheti, Guoqing Huang, Yushan Mao
PURPOSE: The aim of this study was to identify independent risk factors for carotid atherosclerosis (CAS) in a population with hyperuricemia (HUA) and develop a CAS risk prediction model. PATIENTS AND METHODS: This retrospective study included 3579 HUA individuals who underwent health examinations, including carotid ultrasonography, at the Zhenhai Lianhua Hospital in Ningbo, China, in 2020. All participants were randomly assigned to the training and internal validation sets in a 7:3 ratio...
2024: Vascular Health and Risk Management
https://read.qxmd.com/read/38633517/an-international-survey-of-extracorporeal-membrane-oxygenation-education-and-credentialing-practices
#18
JOURNAL ARTICLE
Bhoumesh Patel, Ahmed S Said, Angelo Justus, Darryl Abrams, Tái Pham, Marta Velia Antonini, Elizabeth Moore, Kiran Shekar, Bishoy Zakhary
BACKGROUND: The use of extracorporeal membrane oxygenation (ECMO) has grown rapidly over the past decades because of evolving indications, advances in circuit technology, and encouraging results from modern trials. Because ECMO is a complex and highly invasive therapy that requires a multidisciplinary team, optimal education, training, and credentialing remain a challenge. OBJECTIVE: The primary objectives of this study were to investigate the prevalence and application of ECMO education and ECMO practitioner credentialing at ECMO centers globally...
March 2024: ATS scholar
https://read.qxmd.com/read/38633136/is-boarding-compromising-our-residents-education-a-national-survey-of-emergency-medicine-program-directors
#19
JOURNAL ARTICLE
Katja Goldflam, Cassandra Bradby, Ryan F Coughlin, Alexis Cordone, Jessica Bod, Leah Bright, Rebecca Merrill, Alina Tsyrulnik
BACKGROUND: Boarding patients in the emergency department (ED) potentially affects resident education. Program director (PD) perceptions of the impact of boarding on their trainees have not been previously described. METHODS: We surveyed a cross-sectional convenience sample of emergency medicine PDs using a mixed-methods approach to explore their perceptions of how boarding has affected their residents' training. Descriptive data were reported as percentages and differences were calculated using Pearson's chi-square test, with p  < 0...
April 2024: AEM Education and Training
https://read.qxmd.com/read/38631828/evaluation-of-a-manualised-neurofeedback-training-in-psychosomatic-psychotherapeutic-outpatient-treatment-neuro-pp-out-study-protocol-for-a-clinical-mixed-methods-pilot-study
#20
JOURNAL ARTICLE
Kira Leandra Schmidt, Axel Kowalski, Adam Schweda, Nora Dörrie, Eva Maria Skoda, Alexander Bäuerle, Martin Teufel
INTRODUCTION: Electroencephalographic neurofeedback (NFB), as a non-invasive form of brainwave training, has been shown to be effective in the treatment of various mental health disorders. However, only few results regarding manualised and standardised NFB trainings exist. This makes comparison as well as replication of studies difficult. Therefore, we developed a standard manual for NFB training in patients with mental health disorders attending a psychosomatic outpatient clinic. The current study aims at investigating the conduction of a standardised manual for NFB training in patients with mental health disorders...
April 17, 2024: BMJ Open
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