Identification of histological carotid plaque vulnerability by CT angiography using perivascular adipose tissue radiomics signature

ABSTRACT Objectives This study aims to develop a radiomics model based on carotid perivascular adipose tissue (PVAT) from CT angiography to identify histologically confirmed vulnerable plaques in patients with carotid artery stenosis (CAS). Materials and methods In this prospective cohort study, we...

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Detalhes bibliográficos

Principais autores:	Keqiang Shu, Junye Chen, Kang Li, Xiaoyuan Fan, Liangrui Zhou, Chaonan Wang, Leyin Xu, Yanan Liu, Yuyao Feng, Deqiang Kong, Xiaojie Fan, Bo Jiang, Jiang Shao, Zhichao Lai, Bao Liu
Formato:	Artigo
Idioma:	Inglês
Publicado em:	SpringerOpen 2026-01-01
coleção:	Insights into Imaging
Assuntos:	Atherosclerosis Computed tomography angiography Radiomics Carotid stenosis Machine learning
Acesso em linha:	https://doi.org/10.1186/s13244-025-02134-y
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