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.
Journal:
Cardiovascular diabetology
PMID:
39227844
Abstract
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).
Authors
Keywords
Adipose Tissue
Adiposity
Aged
Automation
Computed Tomography Angiography
Coronary Angiography
Coronary Artery Disease
Deep Learning
Diabetes Mellitus, Type 2
Diabetic Angiopathies
Epicardial Adipose Tissue
Female
Humans
Male
Middle Aged
Pericardium
Predictive Value of Tests
Prognosis
Radiographic Image Interpretation, Computer-Assisted
Reproducibility of Results
Risk Assessment
Risk Factors
Vascular Calcification