AIMC Topic: Pericardium

Clear Filters Showing 1 to 10 of 23 articles

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...
Asymptomatic Diseases Computed Tomography Angiography Pericardium Epicardial Adipose Tissue Male Ventricular Function, Left Echocardiography Middle Aged Disease Progression Severity of Illness Index Aortic Valve Stenosis Adipose Tissue Ventricular Remodeling Humans Prospective Studies Female Aged
View on PubMed DOI

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...
Humans Algorithms Retrospective Studies Tomography, X-Ray Computed Female Coronary Angiography Aged Radiographic Image Interpretation, Computer-Assisted Male Computed Tomography Angiography Middle Aged Pericardium Deep Learning Epicardial Adipose Tissue Adipose Tissue
View on PubMed DOI

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...
Machine Learning Decision Support Techniques Prognosis Female Reproducibility of Results Humans Severity of Illness Index Adipose Tissue Predictive Value of Tests Coronary Angiography Coronary Artery Disease Risk Factors Aged Male Middle Aged Risk Assessment Coronary Vessels Epicardial Adipose Tissue Vascular Calcification Computed Tomography Angiography Pericardium
View on PubMed DOI

Automatic segmentation of pericardial adipose tissue from cardiac MR images via semi-supervised method with difference-guided consistency.

Medical physics Dec 5, 2024
BACKGROUND: Accurate and automatic segmentation of pericardial adipose tissue (PEAT) in cardiac magnetic resonance (MR) images is essential for the diagnosis and treatment of cardiovascular diseases. Precise segmentation is challenging due to high co...
Supervised Machine Learning Automation Pericardium Humans Image Processing, Computer-Assisted Magnetic Resonance Imaging Adipose Tissue Heart
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).
Vascular Calcification Computed Tomography Angiography Pericardium Epicardial Adipose Tissue Radiographic Image Interpretation, Computer-Assisted Humans Coronary Artery Disease Prognosis Adiposity Diabetes Mellitus, Type 2 Female Automation Adipose Tissue Reproducibility of Results Diabetic Angiopathies Predictive Value of Tests Risk Factors Aged Coronary Angiography Male Middle Aged Risk Assessment Deep Learning
View on PubMed DOI

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.
Female Reproducibility of Results Risk Factors Aged Male Ventricular Function, Left Stroke Volume Middle Aged Risk Assessment Humans Prognosis Retrospective Studies Coronary Artery Disease Deep Learning Myocardial Infarction Magnetic Resonance Imaging Pericardium Adipose Tissue Magnetic Resonance Imaging, Cine Predictive Value of Tests Epicardial Adipose Tissue
View on PubMed DOI

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...
Humans Tomography, X-Ray Computed Female Aged Atrial Fibrillation Heart Atria Pericardium Epicardial Adipose Tissue Male Middle Aged Deep Learning Workflow
View on PubMed DOI

Automated assessment of cardiac pathologies on cardiac MRI using T1-mapping and late gadolinium phase sensitive inversion recovery sequences with deep learning.

BMC medical imaging Feb 13, 2024
BACKGROUND: A deep learning (DL) model that automatically detects cardiac pathologies on cardiac MRI may help streamline the diagnostic workflow. To develop a DL model to detect cardiac pathologies on cardiac MRI T1-mapping and late gadolinium phase ...
Gadolinium Pericardium Deep Learning Contrast Media Magnetic Resonance Imaging Humans Myocardium
View on PubMed DOI

Deep-Learning for Epicardial Adipose Tissue Assessment With Computed Tomography: Implications for Cardiovascular Risk Prediction.

JACC. Cardiovascular imaging Feb 8, 2023
BACKGROUND: Epicardial adipose tissue (EAT) volume is a marker of visceral obesity that can be measured in coronary computed tomography angiograms (CCTA). The clinical value of integrating this measurement in routine CCTA interpretation has not been ...
Pericardium Humans Coronary Artery Disease Tomography, X-Ray Computed Cardiovascular Diseases Obesity, Abdominal Risk Factors Risk Assessment Atrial Fibrillation Deep Learning Heart Disease Risk Factors Adipose Tissue Predictive Value of Tests
View on PubMed DOI

Deep learning segmentation and quantification method for assessing epicardial adipose tissue in CT calcium score scans.

Scientific reports Feb 10, 2022
Epicardial adipose tissue volume (EAT) has been linked to coronary artery disease and the risk of major adverse cardiac events. As manual quantification of EAT is time-consuming, requires specialized training, and is prone to human error, we develope...
Pericardium Organ Size Humans Coronary Artery Disease Tomography, X-Ray Computed Calcium Deep Learning Heart Disease Risk Factors Adipose Tissue Risk
View on PubMed DOI
Popular Topics
Recent Journals