Automated brain atrophy quantification from clinical MRI predicts early neurological deterioration in anterior choroidal artery territory infarction
Automated brain atrophy quantification based on routine clinical MRI can independently predict END risk in patients with AChA infarction, providing a feasible imaging biomarker for this high-risk stroke population and facilitating early risk stratification and treatment optimization.
Authors
- Renjing Zhu (ORCID: https://orcid.org/0009-0006-0287-2349)
- ZhiMin Xiao (ORCID: https://orcid.org/0000-0001-6464-2019)
- Weiwei Gao (ORCID: https://orcid.org/0000-0002-3120-4466)
- Aihuan Zhang (ORCID: https://orcid.org/0000-0002-4464-7629)
- Xingyu Chen (ORCID: https://orcid.org/0000-0002-9284-4950)
- Jianzhong Lin (ORCID: https://orcid.org/0000-0002-7475-9285)
- Lixue Wang (ORCID: https://orcid.org/0000-0002-0539-557X)
- Shouyue Jin (ORCID: https://orcid.org/0000-0003-2289-890X)
Institutions
- Xiamen University (CN)
- Zhongshan Hospital of Xiamen University (CN)
- Qujiang People's Hospital (CN)
Publication Details
- Journal
- Frontiers in Neuroscience
- Published
- 2025-12-18
- DOI
- https://doi.org/10.3389/fnins.2025.1714159
- Primary Topic
- Acute Ischemic Stroke Management
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Natural Science Foundation of Xinjiang