Radiomics model based on coronary CT angiography for predicting major adverse cardiovascular events in patients with coronary artery disease: comparison of lesion-specific pericoronary adipose tissue model and pericoronary adipose tissue model
Lesion-specific PCAT radiomics features demonstrate superior predictive capability for MACE compared to f RCA-based features. Integrating clinical risk factors further enhances model performance, offering a noninvasive imaging tool for risk stratification in patients with CAD.
Authors
- Haoyan Pan
- Zhengxiang Huang (ORCID: https://orcid.org/0000-0002-4608-9405)
- Lijuan Zhao (ORCID: https://orcid.org/0000-0003-4825-3747)
- Zhe Zhang (ORCID: https://orcid.org/0000-0002-3605-4305)
- Jianing Chen (ORCID: https://orcid.org/0000-0002-7525-1424)
- Jing Wen
- Xu Dai (ORCID: https://orcid.org/0000-0002-7487-6713)
- Baoying Zhao
- Z. Z. Xing (ORCID: https://orcid.org/0009-0003-1340-4370)
- Huan Ding
Institutions
- Philips (Finland) (FI)
- Liaoning University of Traditional Chinese Medicine (CN)
- Affiliated Hospital of Liaoning University of Traditional Chinese Medicine (CN)
Publication Details
- Journal
- Frontiers in Cardiovascular Medicine
- Published
- 2025-10-14
- DOI
- https://doi.org/10.3389/fcvm.2025.1600942
- Primary Topic
- Cardiovascular Disease and Adiposity
- Type
- article
- Field-Weighted Citation Impact
- 0.00