The predictive value of pre-treatment MRI-based radiomics and clinical characteristics for medulloblastoma recurrence in pediatric patients
The hybrid model, integrating pre-treatment MRI-based radiomics features and clinical characteristics, could effectively predict MB recurrence in pediatric patients.
Authors
- Zisan Zeng (ORCID: https://orcid.org/0000-0002-6977-1175)
- Deping Li
- Lixuan Huang (ORCID: https://orcid.org/0009-0005-5835-1668)
- Han Lu (ORCID: https://orcid.org/0000-0002-4008-8591)
Institutions
- Guangxi Medical University (CN)
- First Affiliated Hospital of GuangXi Medical University (CN)
Publication Details
- Journal
- Frontiers in Neurology
- Published
- 2025-09-24
- DOI
- https://doi.org/10.3389/fneur.2025.1624819
- 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
- Natural Science Foundation of Guangxi Province
- Guangxi Key Research and Development Program