AIMC Topic: Intra-Abdominal Fat
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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...
Novel artificial neural network and linear regression based equation for estimating visceral adipose tissue volume.
Clinical nutrition (Edinburgh, Scotland)
Feb 14, 2020
BACKGROUND: There is a growing interest in fast and reliable assessment of abdominal visceral adipose tissue (VAT) volume for risk stratification of metabolic disorders. However, imaging based measurement of VAT is costly and limited by scanner avail...
Prognostic value of anthropometric measures extracted from whole-body CT using deep learning in patients with non-small-cell lung cancer.
European radiology
Feb 13, 2020
INTRODUCTION: The aim of the study was to extract anthropometric measures from CT by deep learning and to evaluate their prognostic value in patients with non-small-cell lung cancer (NSCLC).
Humans
Prognosis
Female
Reproducibility of Results
Aged
Deep Learning
Lung Neoplasms
Carcinoma, Non-Small-Cell Lung
Muscle, Skeletal
Positron Emission Tomography Computed Tomography
Adult
Survival Rate
Male
Middle Aged
Disease Progression
Intra-Abdominal Fat
Neoplasm Staging
Subcutaneous Fat
Body Composition
Whole Body Imaging
Progression-Free Survival
Proportional Hazards Models
Body Surface Area
Automated and accurate quantification of subcutaneous and visceral adipose tissue from magnetic resonance imaging based on machine learning.
Magnetic resonance imaging
Apr 18, 2019
Accurate measuring of subcutaneous adipose tissue (SAT) and visceral adipose tissue (VAT) is vital for the research of many diseases. The localization and quantification of SAT and VAT by computed tomography (CT) expose patients to harmful ionizing r...
Deep learning-based quantification of abdominal fat on magnetic resonance images.
PloS one
Sep 20, 2018
Obesity is increasingly prevalent and associated with increased risk of developing type 2 diabetes, cardiovascular diseases, and cancer. Magnetic resonance imaging (MRI) is an accurate method for determination of body fat volume and distribution. How...
The effect of vitamin D supplementation on insulin resistance, visceral fat and adiponectin in vitamin D deficient women with polycystic ovary syndrome: a randomized placebo-controlled trial.
Gynecological endocrinology : the official journal of the International Society of Gynecological Endocrinology
Dec 22, 2017
INTRODUCTION: Low plasma 25-hydroxy-vitamin D (25OHD) is associated with polycystic ovary syndrome (PCOS). Vitamin D deficiency may contribute to the development of insulin resistance, visceral fat and low level of adiponectin which are common featur...
Relationship Between Serum Macrophage Migration Inhibitory Factor Level and Insulin Resistance, High-Sensitivity C-Reactive Protein and Visceral Fat Mass in Prediabetes.
The American journal of the medical sciences
Oct 26, 2017
BACKGROUND: Growing evidence suggest that macrophage migration inhibitory factor (MIF) plays a vital role in glucose metabolism. We aimed to ascertain whether MIF levels are altered in subjects with prediabetes and also to determine the relationship ...
A two-step convolutional neural network based computer-aided detection scheme for automatically segmenting adipose tissue volume depicting on CT images.
Computer methods and programs in biomedicine
Mar 21, 2017
Accurately assessment of adipose tissue volume inside a human body plays an important role in predicting disease or cancer risk, diagnosis and prognosis. In order to overcome limitation of using only one subjectively selected CT image slice to estima...
Overweight postmenopausal women with different plasma estradiol concentrations present with a similar pattern of energy expenditure and substrate oxidation rate before and after a fatty meal challenge.
Clinical nutrition ESPEN
Jun 2, 2016
Menopause-related withdrawal of ovarian estrogens is associated with reduced energy metabolism and overall impairment of substrate oxidation. Estradiol's withdrawal after menopause is associated with a reduction in energy metabolism and impaired subs...
Visceral Fat Quantified by a Fully Automated Deep-Learning Algorithm and Risk of Incident and Recurrent Diverticulitis.
Diseases of the colon and rectum
Jun 1, 2025
BACKGROUND: Obesity is a risk factor for diverticulitis. However, it remains unclear whether visceral fat area, a more precise measurement of abdominal fat, is associated with the risk of diverticulitis.
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