Cerebrospinal fluid-based clinical-radiomics model for predicting treatment prognosis of acute ischemic stroke
This study demonstrates the value of CSF radiomics signatures in predicting functional outcomes in AIS patients after IVT. The CSF-based combined model exhibited strong prognostic performance and clinical utility, highlighting its potential for supporting treatment decision-making.
Authors
- Yakang Dai (ORCID: https://orcid.org/0000-0003-3357-1638)
- Xusheng Qian (ORCID: https://orcid.org/0000-0003-3012-2466)
- Jiahui Yan (ORCID: https://orcid.org/0000-0003-1593-460X)
- Xia Zhang (ORCID: https://orcid.org/0000-0003-0161-471X)
- Yongjun Cao (ORCID: https://orcid.org/0000-0002-8135-8914)
- Chen Geng (ORCID: https://orcid.org/0000-0003-4008-6833)
- Manli Lu
- Fengmei Li (ORCID: https://orcid.org/0000-0001-7077-1204)
Institutions
- University of Science and Technology of China (CN)
- Soochow University (CN)
- Suzhou Institute of Biomedical Engineering and Technology (CN)
- Second Affiliated Hospital of Soochow University (CN)
Publication Details
- Journal
- Quantitative Imaging in Medicine and Surgery
- Published
- 2025-11-25
- DOI
- https://doi.org/10.21037/qims-2024-2684
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00