Deep learning-based coronary calcium score derived from non-gated chest CT and major adverse cardiovascular events in patients with type 2 diabetes mellitus
DL-CACS derived from non-gated chest CT is an independent predictor of MACEs and provides incremental value in risk stratification for patients with T2DM compared with the FRS.
Authors
- Xiaoying Ding (ORCID: https://orcid.org/0000-0001-6290-8485)
- Jiajun Yuan
- Yarong Yu (ORCID: https://orcid.org/0000-0001-8070-0055)
- Runjianya Ling (ORCID: https://orcid.org/0000-0002-1185-6918)
- Lihua Yu (ORCID: https://orcid.org/0000-0003-0586-3780)
- Yufan Wang (ORCID: https://orcid.org/0000-0001-9614-3986)
- Xu Dai (ORCID: https://orcid.org/0000-0002-7487-6713)
- Yidan Xu (ORCID: https://orcid.org/0000-0001-7957-2527)
- Jiayin Zhang
Institutions
- Shanghai Jiao Tong University (CN)
- Ruijin Hospital (CN)
- Shanghai First People's Hospital (CN)
- Shanghai University of Medicine and Health Sciences (CN)
- Shanghai Sixth People's Hospital (CN)
Publication Details
- Journal
- Cardiovascular Diabetology
- Published
- 2025-10-08
- DOI
- https://doi.org/10.1186/s12933-025-02934-y
- Primary Topic
- Cardiac Imaging and Diagnostics
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China
- Shanghai Municipal Education Commission
- Science and Technology Commission of Shanghai Municipality