Epicardial fat volume and its association with cardiac arrhythmias in CT coronary angiography.

CAD-RADS score cardiac arrhythmia coronary artery disease epicardial fat volume

Journal

Polish journal of radiology
ISSN: 1733-134X
Titre abrégé: Pol J Radiol
Pays: Poland
ID NLM: 101175532

Informations de publication

Date de publication:
2024
Historique:
received: 22 11 2023
accepted: 01 02 2024
medline: 21 3 2024
pubmed: 21 3 2024
entrez: 21 3 2024
Statut: epublish

Résumé

This retrospective study aimed to investigate the epicardial fat volume in cardiac computed tomography (CT), its relationship with cardiac arrhythmias, and its correlation with the coronary artery disease reporting and data system (CAD-RADS) score. Ninety-six patients who underwent CT coronary angiography (CTCA) were included in this study. Patient data, including demographic information, clinical history, and imaging data were collected retrospectively. Epicardial fat volume was quantified using a standardised algorithm, the CAD-RADS scoring system was applied to assess the extent of coronary artery disease (CAD). Descriptive statistics, correlation analyses, and receiver operating characteristics methods were used. The study found a significant correlation between epicardial fat volume and CAD-RADS score ( In this study a volume of at least 123 cm

Identifiants

pubmed: 38510546
doi: 10.5114/pjr.2024.135797
pii: 52489
pmc: PMC10953510
doi:

Types de publication

Journal Article

Langues

eng

Pagination

e122-e127

Informations de copyright

© Pol J Radiol 2024.

Déclaration de conflit d'intérêts

The authors report no conflict of interest.

Auteurs

Matthias Weidlich (M)

Department of Radiology, Charité-Universitätsmedizin Berlin, Berlin, Germany.

Bernd Hamm (B)

Department of Radiology, Charité-Universitätsmedizin Berlin, Berlin, Germany.

Lars-Arne Schaafs (LA)

Department of Radiology, Charité-Universitätsmedizin Berlin, Berlin, Germany.

Thomas Elgeti (T)

Department of Radiology, Charité-Universitätsmedizin Berlin, Berlin, Germany.

Classifications MeSH