Development of a nomogram model for predicting acute stroke events based on dual-energy CTA analysis of carotid intraplaque and perivascular adipose tissue
DECTA imaging parameters revealed significant differences in carotid intraplaque and PVAT characteristics between the STA and ATA groups. Integrating these parameters into the nomogram (Nomo_Model) resulted in a highly accurate and clinically relevant tool for predicting acute stroke risk.
Authors
- Kai Xu (ORCID: https://orcid.org/0000-0003-3616-2047)
- Xiaohan Liu (ORCID: https://orcid.org/0000-0003-3858-4825)
- Yankai Meng (ORCID: https://orcid.org/0000-0002-9671-538X)
- Dexing Zhou
- Juan Long (ORCID: https://orcid.org/0000-0001-8218-1260)
- Chenzi Wang
- He Zhang (ORCID: https://orcid.org/0000-0001-8129-8387)
- Wenbei Xu
- Lu He (ORCID: https://orcid.org/0000-0003-0149-0606)
- Lili Zhu (ORCID: https://orcid.org/0000-0003-3962-7946)
- Xiaonan Sun (ORCID: https://orcid.org/0000-0003-2207-4716)
- Peipei Dou
Institutions
- Xuzhou Medical College (CN)
- Xuzhou No.1 People's Hospital (CN)
Publication Details
- Journal
- Frontiers in Neurology
- Published
- 2025-03-11
- DOI
- https://doi.org/10.3389/fneur.2025.1566395
- Citations
- 2
- Primary Topic
- Cerebrovascular and Carotid Artery Diseases
- Type
- article
- Field-Weighted Citation Impact
- 3.04