Machine learning-based integration of dosiomics and pre-radiotherapy multimodal MRI radiomics for survival stratification in patients with glioblastoma multiforme
Dosiomic and pre-radiotherapy MRI-derived radiomic features are capable of stratifying GBM patients into two long-term and short-term groups. Notably, the integration of dosiomics and radiomics significantly enhances survival prediction in GBM patients.
Authors
- Elmira Yazdani (ORCID: https://orcid.org/0000-0001-8371-8832)
- Pegah Saadatmand (ORCID: https://orcid.org/0000-0001-7447-7897)
- Seied Rabi Mahdavi (ORCID: https://orcid.org/0000-0003-1973-2140)
- Maedeh Barahman (ORCID: https://orcid.org/0000-0003-0660-0069)
- Atefeh Mahmoudi
- Arash Zare‐Sadeghi (ORCID: https://orcid.org/0000-0002-6558-2158)
- Hamed Iraji
Institutions
- Iran University of Medical Sciences (IR)
- Rasool Akram Hospital (IR)
- Firoozgar General Hospital (IR)
Publication Details
- Journal
- Radiation Oncology
- Published
- 2025-12-02
- DOI
- https://doi.org/10.1186/s13014-025-02764-y
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00