Radiomic Assessment of Epicardial Adipose Tissue for the Prediction of Non-Calcified Coronary Atherosclerotic Plaques
EAT may represent a novel imaging biomarker associated with the presence of actionable coronary plaques. Radiomic texture analysis of EAT could enhance the non-invasive prediction of coronary stenoses. These preliminary findings support the clinical utility of EAT evaluation via CCTA in patients with low to intermediate cardiovascular risk.
Authors
- Mario Laudazi (ORCID: https://orcid.org/0000-0001-6094-6330)
- Carlo Di Donna (ORCID: https://orcid.org/0000-0001-9241-1859)
- Marcello Chiocchi (ORCID: https://orcid.org/0000-0001-6041-4166)
- Armando Ugo Cavallo (ORCID: https://orcid.org/0000-0001-8390-7721)
- Eliseo Picchi (ORCID: https://orcid.org/0000-0002-2524-9764)
- Massimo Federici
- Francesco Garaci
Institutions
- University of Rome Tor Vergata (IT)
- Istituto Dermopatico dell'Immacolata (IT)
- CTO Andrea Alesini (IT)
- Azienda Ospedaliera Sant'Andrea (IT)
Publication Details
- Journal
- Journal of Cardiovascular Development and Disease
- Published
- 2026-03-02
- DOI
- https://doi.org/10.3390/jcdd13030113
- Primary Topic
- Cardiovascular Disease and Adiposity
- Type
- article
- Field-Weighted Citation Impact
- 0.00