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Feasibility of Artificial Intelligence Models for Longitudinal CT Analysis of Epicardial Adipose Tissue After Immunotherapy

<b>Background</b>: Epicardial adipose tissue (EAT) is an imaging-derived biomarker increasingly associated with cardiovascular inflammation and metabolic risk. Computed tomography (CT) allows for accurate volumetric quantification of EAT, but the clinical interpretation of longitudinal changes remai...

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Principais autores: Eliodoro Faiella, Stefania Lamja, Rebecca Casati, Michele Tondo, Raffaele Ragone, Adriano Redi, Elva Vergantino, Bruno Beomonte Zobel, Francesco Grasso, Domiziana Santucci
Format: Artigo
Sprog:Inglês
Udgivet: MDPI AG 2026-03-01
Serier:Diagnostics
Fag:
epicardial adipose tissue
artificial intelligence
cardiovascular imaging
Online adgang:https://www.mdpi.com/2075-4418/16/6/852
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