A CT-based machine learning model for using clinical-radiomics to predict malignant cerebral edema after stroke: a two-center study
This model can assist in predicting MCE after acute ischemic stroke and can provide guidance for clinical treatment and prognostic assessment.
Authors
- Wuli Tang
- Ling Yang (ORCID: https://orcid.org/0000-0001-5750-6588)
- Lingfeng Zhang (ORCID: https://orcid.org/0000-0003-4491-1554)
- Yue Zhang (ORCID: https://orcid.org/0000-0002-7786-0231)
- Kang Li (ORCID: https://orcid.org/0000-0002-8136-9816)
- Junlin Li (ORCID: https://orcid.org/0000-0003-4051-6805)
- Gang Xie
Institutions
- North Sichuan Medical University (CN)
- Third People's Hospital of Chengdu (CN)
- First People's Hospital of Chongqing (CN)
- Chongqing Medical University (CN)
Publication Details
- Journal
- Frontiers in Neuroscience
- Published
- 2024-10-03
- DOI
- https://doi.org/10.3389/fnins.2024.1443486
- Citations
- 10
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 4.04