AIMC Topic: Body Composition
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Nomograms for Automated Body Composition Analysis: A Crucial Step for Routine Clinical Implementation.
Radiology
Nov 24, 2020
Population-Scale CT-based Body Composition Analysis of a Large Outpatient Population Using Deep Learning to Derive Age-, Sex-, and Race-specific Reference Curves.
Radiology
Nov 24, 2020
Background Although CT-based body composition (BC) metrics may inform disease risk and outcomes, obtaining these metrics has been too resource intensive for large-scale use. Thus, population-wide distributions of BC remain uncertain. Purpose To demon...
Bone Mineral Density and Content Among Patients With Coronary Artery Disease: A Comparative Study.
The American journal of the medical sciences
Nov 23, 2020
INTRODUCTION: Some studies indicate an association between coronary artery disease (CAD) and osteoporosis. This case-control study examined the association between body composition and bone mineral content (BMC) and density (BMD) among patients with ...
[Leptin sexual dimorphism, insulin resistance, and body composition in normal weight prepubescent].
Revista chilena de pediatria
Oct 21, 2020
INTRODUCTION: The prepubertal stage is a critical period of body fat development, in which leptin and insulin re sistance has been associated, however, there are few studies in normal-weight prepubescents. Ob jective: To assess the relationship betwe...
Aerobic Fitness is a Predictor of Body Composition in Women With Breast Cancer at Diagnosis.
Clinical breast cancer
Oct 9, 2020
BACKGROUND: The objective of this study was to investigate the relationship of aerobic fitness (AF) at diagnosis, before treatment and its relationship with body composition, physical function, lipidic profile, comorbidities, tumor characteristics, a...
Technical Note: Automatic segmentation of CT images for ventral body composition analysis.
Medical physics
Oct 3, 2020
PURPOSE: Body composition is known to be associated with many diseases including diabetes, cancers, and cardiovascular diseases. In this paper, we developed a fully automatic body tissue decomposition procedure to segment three major compartments tha...
Fully automated body composition analysis in routine CT imaging using 3D semantic segmentation convolutional neural networks.
European radiology
Sep 18, 2020
OBJECTIVES: Body tissue composition is a long-known biomarker with high diagnostic and prognostic value not only in cardiovascular, oncological, and orthopedic diseases but also in rehabilitation medicine or drug dosage. In this study, the aim was to...
Importance of anthropometric features to predict physical performance in elite youth soccer: a machine learning approach.
Research in sports medicine (Print)
Aug 23, 2020
The present study aimed to determine the contribution of soccer players' anthropometric features to predict their physical performance. Sixteen players, from a professional youth soccer academy, were recruited. Several anthropometric features such as...
Deep learning method for localization and segmentation of abdominal CT.
Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society
Aug 14, 2020
Computed Tomography (CT) imaging is widely used for studying body composition, i.e., the proportion of muscle and fat tissues with applications in areas such as nutrition or chemotherapy dose design. In particular, axial CT slices from the 3rd lumbar...
Evaluating body composition by combining quantitative spectral detector computed tomography and deep learning-based image segmentation.
European journal of radiology
Jul 12, 2020
PURPOSE: Aim of this study was to develop and evaluate a software toolkit, which allows for a fully automated body composition analysis in contrast enhanced abdominal computed tomography leveraging the strengths of both, quantitative information from...
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