Coronary computed tomography angiography plaque and flow patterns in acute coronary syndrome lesions
Acute coronary syndrome (ACS) risk stratification requires assessment across different time frames. This multicenter study investigated whether a single coronary computed tomography angiography (CCTA) scan could provide integrated short-term (≤7 days) and long-term (≥30 days) risk assessment. The study developed and validated dual-timeframe models combining population health data, stenosis severity, quantitative low-density plaque burden (LDP%), and the hemodynamic parameter ΔCT-FFR (CT-derived fractional flow reserve [CT-FFR] proximal to the lesion minus CT-FFR distal to the lesion). Key findings indicate that while stenosis and LDP% predicted ACS risk in both time frames, ΔCT-FFR was specifically associated with short-term risk. The combined models demonstrated superior performance and greater net clinical benefit compared to using stenosis severity alone, as confirmed in multiple external cohorts. These results establish that a single CCTA examination can simultaneously assess immediate and future ACS risk.
Authors
- Jun Hua Guo
- Zhi Xu (ORCID: https://orcid.org/0000-0002-1476-1367)
- Long Jiang Zhang (ORCID: https://orcid.org/0000-0002-6664-7224)
- Ying Han
- Liyun Miao (ORCID: https://orcid.org/0000-0001-9586-3244)
- Xin Wei Tao
- Peng Xu (ORCID: https://orcid.org/0000-0002-7573-4813)
- Hui Xu (ORCID: https://orcid.org/0000-0003-3424-1219)
- Feng Wang (ORCID: https://orcid.org/0000-0002-1426-3544)
- Qian Chen (ORCID: https://orcid.org/0000-0002-3585-305X)
- Fan Zhou (ORCID: https://orcid.org/0000-0003-1497-4415)
- Hong Qiao (ORCID: https://orcid.org/0000-0002-0451-3968)
- Xi Hu (ORCID: https://orcid.org/0000-0002-6878-0213)
- Chang Sheng Zhou (ORCID: https://orcid.org/0000-0001-6684-6736)
- Meng Jie Lu (ORCID: https://orcid.org/0000-0003-4788-7668)
- Ya Liu (ORCID: https://orcid.org/0000-0002-1756-0907)
- Bang Jun Guo
- Jia Ni Zou
Institutions
- Ningbo University (CN)
- Jiangnan University (CN)
- Nanjing General Hospital of Nanjing Military Command (CN)
- Sir Run Run Shaw Hospital (CN)
- Boston Scientific (United States) (US)
- Central Hospital of Wuhan (CN)
- Wuhan General Hospital of Guangzhou (CN)
- Siemens Healthcare (United States) (US)
- Southern Medical University (CN)
- Zhejiang University (CN)
- Nanjing Medical University (CN)
- Nanjing University (CN)
Publication Details
- Journal
- iScience
- Published
- 2025-11-05
- DOI
- https://doi.org/10.1016/j.isci.2025.113821
- Primary Topic
- Cardiac Imaging and Diagnostics
- Type
- article
- Field-Weighted Citation Impact
- 0.00