Machine learning-based radiomic features of perivascular adipose tissue in coronary computed tomography angiography predicting inflammation status around atherosclerotic plaque: a retrospective cohort study

Objectives This study expolored the relationship between perivascular adipose tissue (PVAT) radiomic features derived from coronary computed tomography angiography (CCTA) and the presence of coronary artery plaques. It aimed to determine whether PVAT radiomic could non-invasively assess vascular inf...

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Bibliografiske detaljer

Principais autores:	Kunlin Ye, Lingtao Zhang, Hao Zhou, Xukai Mo, Changzheng Shi
Format:	Artigo
Sprog:	Inglês
Udgivet:	Taylor & Francis Group 2025-12-01
Serier:	Annals of Medicine
Fag:	Coronary computed tomography angiography radiomics fat attenuation index coronary atherosclerotic plaque progression
Online adgang:	https://www.tandfonline.com/doi/10.1080/07853890.2024.2431606
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