Abdominal fat quantification using convolutional networks
European Radiology, 2023 Abstract Objectives To present software for automated adipose tissue quantification of abdominal magnetic resonance imaging (MRI) data using fully convolutional networks (FCN) and to evaluate its overall performance—accuracy, reliability, processing effort, and time—in comparison with an interactive reference method.
Daniel Schneider +7 more
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Inactivity induces increases in abdominal fat [PDF]
Journal of Applied Physiology, 2007 Previously, inducing inactivity for 53 h after 21 days of voluntary running resulted in a 25 and 48% increase in epididymal and omental fat pad weights, respectively, while rats continued to eat more than a group that never had access to a running wheel ( J Physiol 565: 911–925, 2005).
Matthew J, Laye +3 more
openaire +2 more sources
Differential regulation of intramuscular fat and abdominal fat deposition in chickens [PDF]
BMC Genomics, 2022 Abstract Background Chicken intramuscular fat (IMF) content is closely related to meat quality and performance, such as tenderness and flavor. Abdominal fat (AF) in chickens is one of the main waste products at slaughter. Excessive AF reduces feed efficiency and carcass quality.
Na Luo +6 more
openaire +3 more sources
Maternal caregivers have confluence of altered cortisol, high reward-driven eating, and worse metabolic health. [PDF]
, 2019 Animal models have shown that chronic stress increases cortisol, which contributes to overeating of highly palatable food, increased abdominal fat and lower cortisol reactivity. Few studies in humans have simultaneously examined these trajectories.
Epel, Elissa S +3 more
core +2 more sources
Assessment of abdominal fat compartments using DXA in premenopausal women from anorexia nervosa to morbid obesity [PDF]
, 2014 Objective: The purpose of this study was to test a newly developed DXA method for abdominal fat depot quantification in subjects with AN, normal weight, and obesity using CT as a gold standard. Design and Methods 135 premenopausal women (overweight/obese:
Anderson, Ellen J. +8 more
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Distribution of adipose tissue: Quantification and relationship with hepatic steatosis and vascular profiles of type 2 diabetic patients with metabolic syndrome [PDF]
, 2008 AimAs the distribution of fat is increasingly related to cardiovascular events, we examined whether or not abdominal-fat quantification using magnetic resonance imaging (MRI) software is reliable, and whether or not it is related to clinical markers of ...
A. Rod +8 more
core +4 more sources
The effect of green tea ingestion and interval sprinting exercise on the body composition of overweight males: A randomized trial [PDF]
, 2016 © 2016 by the authors; licensee MDPI, Basel, Switzerland. The combined effect of green tea ingestion and interval sprinting exercise on body and abdominal fat of overweight males was investigated.
Boutcher, S +4 more
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Genetic Mapping of the QTL Affecting Abdominal Fat Deposition in Chickens
The Journal of Poultry Science, 2001 To identify the quantitative trait loci (QTL) affecting abdominal fat deposition in chickens, we carried out QTL analysis on this trait using a resource population of 222 F2 progeny from a cross between a Satsumadori (a Japanese native breed showing ...
Ken Tatsuda, Kuninori Fujinaka
doaj +1 more source
Consensus module analysis of abdominal fat deposition across multiple broiler lines
BMC Genomics, 2021 Background Despite several RNA-Seq and microarray studies on differentially expressed genes (DEGs) between high- and low-abdominal fat deposition in different broiler lines, to our knowledge, gene coexpression analysis across multiple broiler lines has ...
Hui Yuan, Jun Lu
doaj +1 more source
The Association Between Cardiorespiratory Fitness and Abdominal Adiposity in Postmenopausal, Physically Inactive South Asian Women [PDF]
, 2015 Visceral adipose tissueCardiorespiratory fitnessSouth AsianMaximal oxygen consumptionPostmenopausalwomenIn South Asians, a unique obesity phenotype of high abdominal fat is associated with increased cardiovascular risk. Low cardiorespiratory fitness (CRF)
core +1 more source