Combined prognostic value of AI-derived CT-FFR and high-risk plaque characteristics in patients with newly diagnosed chronic coronary syndrome: a prospective cohort study
The combined use of AI-derived CT-FFR and HRPC significantly improves risk stratification in patients with newly diagnosed CCS, offering better predictive accuracy for adverse cardiovascular events. This enhanced risk assessment could enable clinicians to identify high-risk patients more effectively and tailor management strategies accordingly. Further multicenter studies are warranted to validate these findings across diverse populations.
Authors
- Xing Guan
- Zelong Cao
- Honghou He (ORCID: https://orcid.org/0000-0003-4486-8808)
- Xiaoning Lu
- Yang You
- Xiaoyu Bai (ORCID: https://orcid.org/0009-0007-9188-8250)
- Renjie Zhang
- Mingqi Zheng (ORCID: https://orcid.org/0000-0002-4300-0209)
- Fei Lyu (ORCID: https://orcid.org/0000-0001-8858-8950)
- Liang Zheng
- Wei Fu (ORCID: https://orcid.org/0000-0003-4813-0421)
- Jianan Xu (ORCID: https://orcid.org/0000-0003-3575-9562)
- Naying Jin
Institutions
- Hebei Medical University (CN)
- Handan College (CN)
- Shanghai East Hospital (CN)
- First Affiliated Hospital of Hebei Medical University (CN)
- Hebei Science and Technology Department (CN)
Publication Details
- Journal
- Frontiers in Cardiovascular Medicine
- Published
- 2025-12-03
- DOI
- https://doi.org/10.3389/fcvm.2025.1674126
- Primary Topic
- Cardiac Imaging and Diagnostics
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Health Commission of Hebei Province
- Hebei Medical University
- National Health Commission of the People's Republic of China