AIMC Topic: Adiposity

Clear Filters Showing 1 to 10 of 21 articles

Deep learning and genome-wide association meta-analyses of bone marrow adiposity in the UK Biobank.

Nature communications Jan 2, 2025
Bone marrow adipose tissue is a distinct adipose subtype comprising more than 10% of fat mass in healthy humans. However, the functions and pathophysiological correlates of this tissue are unclear, and its genetic determinants remain unknown. Here, w...
Humans Female Aged Adult Male Bone Marrow Middle Aged Deep Learning Biological Specimen Banks Genome-Wide Association Study White People Polymorphism, Single Nucleotide Adiposity Magnetic Resonance Imaging United Kingdom Adipose Tissue UK Biobank
View on PubMed DOI

Accelerated chemical shift encoded cardiovascular magnetic resonance imaging with use of a resolution enhancement network.

Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance Sep 5, 2024
BACKGROUND: Cardiovascular magnetic resonance (CMR) chemical shift encoding (CSE) enables myocardial fat imaging. We sought to develop a deep learning network (fast chemical shift encoding [FastCSE]) to accelerate CSE.
Adipose Tissue Predictive Value of Tests Myocardium Heart Diseases Image Interpretation, Computer-Assisted Adiposity Adult Male Middle Aged Case-Control Studies Deep Learning Magnetic Resonance Imaging, Cine Humans Prospective Studies Retrospective Studies Female Reproducibility of Results Aged Young Adult
View on PubMed DOI

Fully automated epicardial adipose tissue volume quantification with deep learning and relationship with CAC score and micro/macrovascular complications in people living with type 2 diabetes: the multicenter EPIDIAB study.

Cardiovascular diabetology Sep 3, 2024
BACKGROUND: The aim of this study (EPIDIAB) was to assess the relationship between epicardial adipose tissue (EAT) and the micro and macrovascular complications (MVC) of type 2 diabetes (T2D).
Male Epicardial Adipose Tissue Middle Aged Risk Assessment Automation Humans Adipose Tissue Deep Learning Diabetic Angiopathies Prognosis Diabetes Mellitus, Type 2 Predictive Value of Tests Vascular Calcification Coronary Angiography Computed Tomography Angiography Female Radiographic Image Interpretation, Computer-Assisted Pericardium Reproducibility of Results Coronary Artery Disease Risk Factors Adiposity Aged
View on PubMed DOI

Prediction of the 10-year incidence of type 2 diabetes mellitus based on advanced anthropometric indices using machine learning methods in the Iranian population.

Diabetes research and clinical practice Jun 25, 2024
BACKGROUND: Type 2 diabetes mellitus (T2DM) is a growing chronic disease that can lead to disability and early death. This study aimed to establish a predictive model for the 10-year incidence of T2DM based on novel anthropometric indices.
Risk Factors Aged Adult Male Middle Aged Incidence Humans Machine Learning Prospective Studies Female Diabetes Mellitus, Type 2 Body Mass Index Iran Anthropometry Adiposity
View on PubMed DOI

Gender-specific data-driven adiposity subtypes using deep-learning-based abdominal CT segmentation.

Obesity (Silver Spring, Md.) May 8, 2023
OBJECTIVE: The aim of this study was to quantify abdominal adiposity and generate data-driven adiposity subtypes with different diabetes risks.
Obesity Obesity, Abdominal Adiposity Humans Intra-Abdominal Fat Tomography, X-Ray Computed Female Male Deep Learning Liver
View on PubMed DOI

Fully automated CT-based adiposity assessment: comparison of the L1 and L3 vertebral levels for opportunistic prediction.

Abdominal radiology (New York) Nov 11, 2022
PURPOSE: The purpose of this study is to compare fully automated CT-based measures of adipose tissue at the L1 level versus the standard L3 level for predicting mortality, which would allow for use at both chest (L1) and abdominal (L3) CT.
Cross-Sectional Studies Male Middle Aged Obesity Humans Adiposity Artificial Intelligence Retrospective Studies Tomography, X-Ray Computed Female Adult
View on PubMed DOI

The Anti-Adiposity Mechanisms of Ampelopsin and Vine Tea Extract in High Fat Diet and Alcohol-Induced Fatty Liver Mouse Models.

Molecules (Basel, Switzerland) Jan 18, 2022
(AG) is an ancient medicinal plant that is mainly distributed and used in southwest China. It exerts therapeutic effects, such as antioxidant, anti-diabetic, and anti-inflammatory activities, reductions in blood pressure and cholesterol and hepatopr...
Anti-Obesity Agents Tea Animals Mice, Obese Rats Adiposity Flavonoids Male Rats, Sprague-Dawley 3T3-L1 Cells Mice Mice, Inbred ICR Mice, Inbred C57BL Phytotherapy Antioxidants Lipid Metabolism Obesity Lipogenesis Plant Extracts Non-alcoholic Fatty Liver Disease Diet, High-Fat Fatty Liver, Alcoholic
View on PubMed DOI

Multi-muscle deep learning segmentation to automate the quantification of muscle fat infiltration in cervical spine conditions.

Scientific reports Aug 16, 2021
Muscle fat infiltration (MFI) has been widely reported across cervical spine disorders. The quantification of MFI requires time-consuming and rater-dependent manual segmentation techniques. A convolutional neural network (CNN) model was trained to se...
Humans Female Reproducibility of Results Adiposity Datasets as Topic Observer Variation Automation Neck Muscles Body Mass Index Magnetic Resonance Imaging Adipose Tissue Organ Size Young Adult Cervical Vertebrae Adult Anthropometry Male Deep Learning Image Processing, Computer-Assisted
View on PubMed DOI

Metabolic syndrome, fatty liver, and artificial intelligence-based epicardial adipose tissue measures predict long-term risk of cardiac events: a prospective study.

Cardiovascular diabetology Jan 29, 2021
BACKGROUND: We sought to evaluate the association of metabolic syndrome (MetS) and computed tomography (CT)-derived cardiometabolic biomarkers (non-alcoholic fatty liver disease [NAFLD] and epicardial adipose tissue [EAT] measures) with long-term ris...
Radiographic Image Interpretation, Computer-Assisted Registries Non-alcoholic Fatty Liver Disease Los Angeles Heart Diseases Adiposity Pericardium Cardiometabolic Risk Factors Prevalence Humans Deep Learning Aged Time Factors Prospective Studies Aged, 80 and over Metabolic Syndrome Prognosis Male Adipose Tissue Tomography, X-Ray Computed Middle Aged Predictive Value of Tests Female Risk Assessment
View on PubMed DOI

[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...
Leptin Ideal Body Weight Sex Characteristics Insulin Humans Child Sex Factors Body Height Female Insulin Resistance Adiposity Cross-Sectional Studies Body Mass Index Male Body Composition Blood Glucose Body Weight
View on PubMed DOI
Popular Topics
Recent Journals