Machine Learning–Enhanced Prognostic Modeling in Elderly Glioblastoma Isocitrate Dehydrogenase-Wildtype: A Multidimensional Single-Center Cohort Study
This study confirmed prognostic relevance of GTR, O6-methylguanine-DNA methyltransferase methylation, and RT + TMZ combination. Baseline Karnofsky Performance Status and age did not demonstrate independent prognostic value, while BMI and cognitive decline were potential preoperative predictors. Our findings advocate a multidimensional, data-driven approach to preoperative risk stratification in elderly GBM patients, which may facilitate individualized treatment strategies.
Authors
- Giuseppe Corazzelli (ORCID: https://orcid.org/0000-0002-8536-6962)
- Filippo Friso (ORCID: https://orcid.org/0000-0003-1333-9882)
- Matteo Martinoni (ORCID: https://orcid.org/0000-0002-9394-5841)
- Elisa D’Angelo (ORCID: https://orcid.org/0000-0002-5954-0939)
- Filippo Badaloni (ORCID: https://orcid.org/0000-0002-0041-0945)
- Antonino Scibilia
- Damiano Balestrini (ORCID: https://orcid.org/0000-0001-6337-4681)
- Alfredo Conti
- Tamara Ius
- Noa Ben Dor
- Carlo Bortolotti
- Enrico Franceschi
- Sofia Asioli
- Arianna Rustici
- Caterina Tonon
- Raffaele Lodi
- Gal Ziv
Institutions
- University of Padua (IT)
- AIAS Bologna (IT)
- Ospedale Santa Maria (IT)
- Institute of Neurological Sciences (IT)
- Istituto delle Scienze Neurologiche di Bologna (IT)
- University of Bologna (IT)
Publication Details
- Journal
- World Neurosurgery
- Published
- 2025-12-23
- DOI
- https://doi.org/10.1016/j.wneu.2025.124754
- Primary Topic
- Glioma Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 0.00