Explainable, modality-adaptive radiomics for MGMT methylation prediction in high-grade glioma: a decision-curve analysis study
This explainable, modality-adaptive radiomics model identified biologically consistent MGMT-related imaging patterns and demonstrated decision-analytic value for clinical risk stratification. The framework supports real-world applicability in heterogeneous imaging environments. Future work should focus on external validation and integration with clinical and molecular biomarkers to further enhance predictive performance.
Authors
- Georgios Vamvouras (ORCID: https://orcid.org/0009-0000-0002-5513)
- Rafael Pitsillos
- Michalis F. Georgiou
- Elena E. Solomou
- Rafail C. Christodoulou
Institutions
- University of Miami (US)
- National Technical University of Athens (GR)
- University of Patras (GR)
- Stanford Medicine (US)
- Cyprus Institute of Neurology and Genetics (CY)
- Stanford University (US)
Publication Details
- Journal
- Frontiers in Oncology
- Published
- 2026-01-09
- DOI
- https://doi.org/10.3389/fonc.2025.1731258
- Citations
- 1
- Primary Topic
- Glioma Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 36.93
Funders
- University of Pennsylvania
- University of California, San Francisco