Association of deep learning–derived epicardial fat volume with target organ damage in subjects with nonobstructive coronary artery disease
EFVi was related to left ventricular diastolic function more than other target organ damage parameters, including renal function and arterial stiffness, which suggests that the epicardial fat may have a role in the pathogenesis of left ventricular diastolic dysfunction.
Authors
- Ye Ra Choi (ORCID: https://orcid.org/0000-0002-2455-1718)
- Kwang Nam Jin (ORCID: https://orcid.org/0000-0001-5494-9113)
- HACK-LYOUNG KIM
- Moon Young Kim
- Eun Ju Chun
Institutions
- Seoul National University (KR)
- Seoul Metropolitan Government (KR)
- Seoul National University Bundang Hospital (KR)
- SNUH SMG-SNU Boramae Medical Center (KR)
Publication Details
- Journal
- Journal of Cardiovascular Imaging
- Published
- 2025-12-01
- DOI
- https://doi.org/10.1186/s44348-025-00062-5
- Primary Topic
- Cardiovascular Disease and Adiposity
- Type
- article
- Field-Weighted Citation Impact
- 0.00