Survival risk stratification of 2021 WHO glioblastoma by MRI radiomics and biological exploration
The radiomics model might be a new prognostic biomarker for IDH-wt GBM. The combined model shows an approximately 12.57% improvement of stratification ability over the clinical model. Additionally, the significant activation of GABA receptor-related pathways may be a biological feature of combined high-risk IDH-wt GBM.
Authors
- Jie Zhang (ORCID: https://orcid.org/0000-0002-8899-3996)
- Yan Qin Tan (ORCID: https://orcid.org/0000-0002-7529-9807)
- Jiangfeng Du (ORCID: https://orcid.org/0000-0002-3289-9554)
- Wenji Xu (ORCID: https://orcid.org/0000-0002-3057-8589)
- Guoqiang Yang (ORCID: https://orcid.org/0000-0001-8824-244X)
- Hui Zhang (ORCID: https://orcid.org/0000-0002-0565-0411)
- Xiaochun Wang (ORCID: https://orcid.org/0000-0003-3148-4581)
- Zhiyi Zhang (ORCID: https://orcid.org/0000-0002-9853-9359)
- Chunjuan Zhao
- Yangyang Li (ORCID: https://orcid.org/0009-0006-0058-6015)
- Pengxin Shen
Institutions
- Shanxi Medical University (CN)
- First Hospital of Shanxi Medical University (CN)
Publication Details
- Journal
- BMC Cancer
- Published
- 2025-10-03
- DOI
- https://doi.org/10.1186/s12885-025-14906-2
- Citations
- 1
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 1.36
Funders
- National Natural Science Foundation of China
- Shanxi Scholarship Council of China