<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Ferles A</submitter><funding>National Institute for Health Research (NIHR)</funding><funding>Swedish Government</funding><pagination>vdaf154</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC12365902</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>7(1)</volume><pubmed_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</pubmed_abstract><journal>Neuro-oncology advances</journal><pubmed_title>Estimating overall survival of glioblastoma patients using clinical variables, tumor size, and location.</pubmed_title><pmcid>PMC12365902</pmcid><funding_grant_id>ALFGBG-965622</funding_grant_id><funding_grant_id>ALFGBG-1006089</funding_grant_id><pubmed_authors>Bello L</pubmed_authors><pubmed_authors>Ardon H</pubmed_authors><pubmed_authors>Dunas T</pubmed_authors><pubmed_authors>Holden Helland R</pubmed_authors><pubmed_authors>Rossi M</pubmed_authors><pubmed_authors>Barkhof F</pubmed_authors><pubmed_authors>Robe PA</pubmed_authors><pubmed_authors>Reinertsen I</pubmed_authors><pubmed_authors>Kommers I</pubmed_authors><pubmed_authors>de Witt Hamer PC</pubmed_authors><pubmed_authors>Hervey-Jumper SL</pubmed_authors><pubmed_authors>Tewarie RN</pubmed_authors><pubmed_authors>Mandonnet E</pubmed_authors><pubmed_authors>Sagberg LM</pubmed_authors><pubmed_authors>Tranfa M</pubmed_authors><pubmed_authors>Aalders T</pubmed_authors><pubmed_authors>Widhalm G</pubmed_authors><pubmed_authors>Zwinderman AH</pubmed_authors><pubmed_authors>Eijgelaar RS</pubmed_authors><pubmed_authors>Furtner J</pubmed_authors><pubmed_authors>Berger MS</pubmed_authors><pubmed_authors>Pedersen A</pubmed_authors><pubmed_authors>Solheim O</pubmed_authors><pubmed_authors>Wagemakers M</pubmed_authors><pubmed_authors>Bouget D</pubmed_authors><pubmed_authors>Sciortino T</pubmed_authors><pubmed_authors>Thurin E</pubmed_authors><pubmed_authors>Kiesel B</pubmed_authors><pubmed_authors>Ferles A</pubmed_authors><pubmed_authors>Idema AJS</pubmed_authors><pubmed_authors>Majewska P</pubmed_authors><pubmed_authors>Nibali MC</pubmed_authors><pubmed_authors>Jakola AS</pubmed_authors></additional><is_claimable>false</is_claimable><name>Estimating overall survival of glioblastoma patients using clinical variables, tumor size, and location.</name><description>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</description><dates><release>2025-01-01T00:00:00Z</release><publication>2025 Jan-Dec</publication><modification>2026-05-07T00:24:42.753Z</modification><creation>2026-04-07T22:21:09.82Z</creation></dates><accession>S-EPMC12365902</accession><cross_references><pubmed>40842642</pubmed><doi>10.1093/noajnl/vdaf154</doi></cross_references></HashMap>