A novel CT-based edema grading system combined with machine learning for precise prognostic prediction in traumatic brain injury
The ML model incorporating the novel A5(+ 1) CT edema grading system enables precise prognostic prediction for TBI patients. This integrated approach provides a quantitative and dynamic assessment of edema severity, outperforming traditional scoring systems and offering a valuable tool for risk stratification and clinical decision-making.
Authors
- Yiwei Lv
- Pei Han
- Xiaoqing Jin (ORCID: https://orcid.org/0000-0002-2571-3512)
- Zhongsheng Lu
- Zhiqiang Luo (ORCID: https://orcid.org/0000-0003-3783-6576)
Institutions
- Qinghai University (CN)
- Qinghai Provincial Peoples Hospital (CN)
Publication Details
- Journal
- European journal of medical research
- Published
- 2025-11-10
- DOI
- https://doi.org/10.1186/s40001-025-03441-2
- Citations
- 1
- Primary Topic
- Traumatic Brain Injury and Neurovascular Disturbances
- Type
- article
- Field-Weighted Citation Impact
- 1.39