Development and validation of a web-based dynamic nomogram to predict individualized risk of severe carotid artery stenosis based on digital subtract angiography
This study identified six key risk factors for severe CAS in IS patients. In addition, we developed a web-based dynamic nomogram to predict the individual risk of severe CAS. This tool can potentially support tailored, risk-based, and time-sensitive treatment strategies.
Authors
- Shengxian Peng
- Jian Huang (ORCID: https://orcid.org/0000-0002-4300-7128)
- Lirong Kuang
- Zhuoran Li (ORCID: https://orcid.org/0000-0003-0645-5682)
- Xiaozhu Liu (ORCID: https://orcid.org/0000-0002-7800-3100)
Institutions
- Guangxi University (CN)
- Capital Medical University (CN)
- Sir Run Run Shaw Hospital (CN)
- Wuchang University of Technology (CN)
- Zigong First People's Hospital (CN)
- Beijing Shijitan Hospital (CN)
- Wuhan University of Science and Technology (CN)
- Zhejiang University (CN)
Publication Details
- Journal
- Frontiers in Neurology
- Published
- 2025-03-24
- DOI
- https://doi.org/10.3389/fneur.2025.1565395
- Primary Topic
- Cerebrovascular and Carotid Artery Diseases
- Type
- article
- Field-Weighted Citation Impact
- 0.00