AIMC Topic: Adiposity

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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 Bone Marrow Female Middle Aged Biological Specimen Banks Aged Adult White People Deep Learning Male Adiposity Genome-Wide Association Study United Kingdom Polymorphism, Single Nucleotide UK Biobank Magnetic Resonance Imaging Adipose Tissue
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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
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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).
Epicardial Adipose Tissue Automation Diabetic Angiopathies Vascular Calcification Computed Tomography Angiography Pericardium Male Middle Aged Risk Assessment Deep Learning Diabetes Mellitus, Type 2 Adipose Tissue Predictive Value of Tests Humans Coronary Angiography Prognosis Radiographic Image Interpretation, Computer-Assisted Female Coronary Artery Disease Reproducibility of Results Adiposity Risk Factors Aged
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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
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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 Intra-Abdominal Fat Humans Tomography, X-Ray Computed Female Male Deep Learning Liver
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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 Adiposity Humans Artificial Intelligence Retrospective Studies Tomography, X-Ray Computed Female Adult
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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...
Animals Male Mice Antioxidants Mice, Obese Anti-Obesity Agents Plant Extracts Adiposity Rats 3T3-L1 Cells Tea Rats, Sprague-Dawley Phytotherapy Flavonoids Mice, Inbred C57BL Lipogenesis Mice, Inbred ICR Obesity Fatty Liver, Alcoholic Lipid Metabolism Diet, High-Fat Non-alcoholic Fatty Liver Disease
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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 Young Adult Magnetic Resonance Imaging Adult Adipose Tissue Male Organ Size Deep Learning Cervical Vertebrae Image Processing, Computer-Assisted Anthropometry
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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 Humans Prospective Studies Prevalence Prognosis Aged Deep Learning Tomography, X-Ray Computed Aged, 80 and over Time Factors Female Male Metabolic Syndrome Middle Aged Adipose Tissue Risk Assessment Predictive Value of Tests
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[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 Insulin Humans Sex Characteristics Child Ideal Body Weight Sex Factors Insulin Resistance Female Body Height Body Mass Index Cross-Sectional Studies Adiposity Body Composition Male Body Weight Blood Glucose
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