Estimating overall survival of glioblastoma patients using clinical variables, tumor size, and location.

ABSTRACT: Accurate prognosis of glioblastoma is crucial for better-informed treatment decisions, potentially leading to improved disease management. We investigated whether clinical variables, tumor size, and location, can serve as prognostic factors. A retrospective, multicenter study enrolled 1318 adult patients with histopathologically confirmed glioblastoma undergoing first-time surgery, with survival censored for 188 patients. Pre-operative brain MRIs were used to compute tumor size and derive advanced radiological features describing tumor location, later refined by expert-based opinion. Post-operative MRIs were used to measure the enhancing residual tumor volume. The prognostic quality of all variables, measurements, and features was assessed as inputs of three survival regression models (Cox

SUBMITTER: Ferles A 

PROVIDER: S-EPMC12365902 | biostudies-literature | 2025 Jan-Dec

REPOSITORIES: biostudies-literature