Predicting major adverse cardiovascular events in diabetic and non-diabetic patients with coronary artery disease: visual models integrating multi-parametric coronary computed tomography angiography and pericoronary adipose tissue radiomics
PCAT radiomics, CT-derived parameters, and plaque features demonstrate differential predictive value for MACE in patients with/without diabetes. Combining these with clinical risk factors provides most effective model for both.
Authors
- Jialing Pan (ORCID: https://orcid.org/0000-0002-8241-7285)
- M. Chen
- Lizhu Ouyang
- Baoliang Guo
- Lanni Zhou (ORCID: https://orcid.org/0009-0008-2995-9676)
- Xiyi Huang
- Qiugen Hu
- Fusheng Ouyang
- Liwen Wang
- Xinjie Chen
Institutions
- Third Affiliated Hospital of Southern Medical University (CN)
- The First People's Hospital of Shunde (CN)
Publication Details
- Journal
- Frontiers in Cardiovascular Medicine
- Published
- 2026-02-27
- DOI
- https://doi.org/10.3389/fcvm.2026.1669037
- Primary Topic
- Cardiovascular Disease and Adiposity
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China
- Southern Medical University
- Basic and Applied Basic Research Foundation of Guangdong Province