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...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής

Κύριοι συγγραφείς:	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
Μορφή:	Artigo
Γλώσσα:	Inglês
Έκδοση:	SpringerOpen 2026-01-01
Σειρά:	Insights into Imaging
Θέματα:	Atherosclerosis Computed tomography angiography Radiomics Carotid stenosis Machine learning
Διαθέσιμο Online:	https://doi.org/10.1186/s13244-025-02134-y
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