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