AIMC Topic: Epicardial Adipose Tissue

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Epicardial adipose tissue, myocardial remodelling and adverse outcomes in asymptomatic aortic stenosis: a post hoc analysis of a randomised controlled trial.

Heart (British Cardiac Society) Jun 26, 2025
BACKGROUND: Epicardial adipose tissue represents a metabolically active visceral fat depot that is in direct contact with the left ventricular myocardium. While it is associated with coronary artery disease, little is known regarding its role in aort...
Computed Tomography Angiography Pericardium Epicardial Adipose Tissue Ventricular Function, Left Prospective Studies Echocardiography Female Middle Aged Aged Disease Progression Male Humans Severity of Illness Index Aortic Valve Stenosis Adipose Tissue Ventricular Remodeling Asymptomatic Diseases
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Impact of CT reconstruction algorithms on pericoronary and epicardial adipose tissue attenuation.

European journal of radiology Apr 23, 2025
OBJECTIVE: This study aims to investigate the impact of adaptive statistical iterative reconstruction-Veo (ASIR-V) and deep learning image reconstruction (DLIR) algorithms on the quantification of pericoronary adipose tissue (PCAT) and epicardial adi...
Algorithms Retrospective Studies Tomography, X-Ray Computed Female Aged Humans Coronary Angiography Radiographic Image Interpretation, Computer-Assisted Computed Tomography Angiography Pericardium Epicardial Adipose Tissue Male Middle Aged Deep Learning Adipose Tissue
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Prediction of obstructive coronary artery disease using coronary calcification and epicardial adipose tissue assessments from CT calcium scoring scans.

Journal of cardiovascular computed tomography Feb 4, 2025
BACKGROUND: Low-cost/no-cost non-contrast CT calcium scoring (CTCS) exams can provide direct evidence of coronary atherosclerosis. In this study, using features from CTCS images, we developed a novel machine learning model to predict obstructive coro...
Vascular Calcification Computed Tomography Angiography Pericardium Epicardial Adipose Tissue Male Middle Aged Risk Assessment Severity of Illness Index Coronary Angiography Coronary Artery Disease Coronary Vessels Adipose Tissue Predictive Value of Tests Female Reproducibility of Results Risk Factors Aged Humans Machine Learning Decision Support Techniques Prognosis
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Radiomics and deep learning features of pericoronary adipose tissue on non-contrast computerized tomography for predicting non-calcified plaques.

Journal of X-ray science and technology Dec 18, 2024
BACKGROUND: Inflammation of coronary arterial plaque is considered a key factor in the development of coronary heart disease. Early the plaque detection and timely treatment of the atherosclerosis could effectively reduce the risk of cardiovascular e...
Radiomics Male Middle Aged Deep Learning Humans Coronary Vessels Tomography, X-Ray Computed Plaque, Atherosclerotic Adipose Tissue Female Epicardial Adipose Tissue Coronary Artery Disease Aged
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Effect of Deep Learning Image Reconstruction on Image Quality and Pericoronary Fat Attenuation Index.

Journal of imaging informatics in medicine Sep 19, 2024
To compare the image quality and fat attenuation index (FAI) of coronary artery CT angiography (CCTA) under different tube voltages between deep learning image reconstruction (DLIR) and adaptive statistical iterative reconstruction V (ASIR-V). Three ...
Humans Algorithms Prospective Studies Female Deep Learning Image Processing, Computer-Assisted Adipose Tissue Coronary Angiography Radiographic Image Interpretation, Computer-Assisted Aged Adult Male Middle Aged Coronary Vessels Computed Tomography Angiography Epicardial Adipose Tissue
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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).
Deep Learning Diabetes Mellitus, Type 2 Adipose Tissue Predictive Value of Tests Coronary Artery Disease Adiposity Automation Coronary Angiography Radiographic Image Interpretation, Computer-Assisted Aged Male Middle Aged Risk Assessment Humans Prognosis Epicardial Adipose Tissue Diabetic Angiopathies Female Vascular Calcification Reproducibility of Results Computed Tomography Angiography Risk Factors Pericardium
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DEep LearnIng-based QuaNtification of epicardial adipose tissue predicts MACE in patients undergoing stress CMR.

Atherosclerosis Apr 18, 2024
BACKGROUND AND AIMS: This study investigated the additional prognostic value of epicardial adipose tissue (EAT) volume for major adverse cardiovascular events (MACE) in patients undergoing stress cardiac magnetic resonance (CMR) imaging.
Stroke Volume Retrospective Studies Middle Aged Humans Risk Factors Risk Assessment Magnetic Resonance Imaging Myocardial Infarction Magnetic Resonance Imaging, Cine Female Prognosis Deep Learning Aged Adipose Tissue Pericardium Reproducibility of Results Epicardial Adipose Tissue Male Predictive Value of Tests Ventricular Function, Left Coronary Artery Disease
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Deep learning-based workflow for automatic extraction of atria and epicardial adipose tissue on cardiac computed tomography in atrial fibrillation.

Journal of the Chinese Medical Association : JCMA Feb 21, 2024
BACKGROUND: Preoperative estimation of the volume of the left atrium (LA) and epicardial adipose tissue (EAT) on computed tomography (CT) images is associated with an increased risk of atrial fibrillation (AF) recurrence. We aimed to design a deep le...
Atrial Fibrillation Male Heart Atria Humans Middle Aged Pericardium Tomography, X-Ray Computed Deep Learning Epicardial Adipose Tissue Female Workflow Aged
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