Diffusion-Weighted Imaging–Based Radiomics Features and Machine Learning Method to Predict the 90-Day Prognosis in Patients With Acute Ischemic Stroke
DWI image-based radiomics features and machine learning methods can accurately predict the 90-day prognosis of patients with AIS, and the radiomics model is superior to the clinical model in predicting prognosis.
Authors
- Jian Tang (ORCID: https://orcid.org/0000-0002-7611-7390)
- Guirui Li (ORCID: https://orcid.org/0009-0007-8721-1888)
- Yueling Zhang (ORCID: https://orcid.org/0000-0002-0510-8307)
- Qianqian Liu (ORCID: https://orcid.org/0000-0003-3457-0346)
- Jian Zhang (ORCID: https://orcid.org/0000-0002-5093-4325)
- Shi-Jian Chen
- Shengliang Shi
Institutions
- Guangxi Medical University (CN)
- Fourth Affiliated Hospital of Guangxi Medical University (CN)
Publication Details
- Journal
- The Neurologist
- Published
- 2024-11-20
- DOI
- https://doi.org/10.1097/nrl.0000000000000599
- Citations
- 1
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.40