The goal of this observational study is to learn whether an artificial intelligence system called GliomaAI-MG can help detect a specific molecular type of brain tumour called molecular glioblastoma using routine MRI scans. The study uses previously collected and fully anonymised MRI data from 1,372 patients from 13 institutions in the Cancer Imaging Archive (TCIA). The main questions it aims to answer are: * How accurately can GliomaAI-MG identify molecular glioblastoma from MRI scans? * How well does the system perform across data from different hospitals and patient groups? Researchers will use existing MRI scans and clinical information to train and test the AI system. No new scans, treatments, or hospital visits are required for participants, and all data used is fully anonymised and obtained from an existing research database. Participants will not be asked to do anything, as this study only uses previously collected imaging data.
Age range
18 Years
Sex
ALL
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AI-rewrites the medical criteria so a patient or caregiver can understand them. Always confirm with the trial site.
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The trial coordinator is the person who runs the study day to day. These cover the practical side — logistics, costs, and what taking part would actually mean for your life. The study team confirms whether you meet the criteria; these are questions to ask, not a sign you qualify.
A starting point for the conversation — always confirm anything about your own eligibility, costs, and care with the study team and your doctor.
Diagnostic performance of GliomaAI-MG for identification of molecular glioblastoma from MRI, measured by accuracy, sensitivity, specificity, positive predictive value, negative predictive value, and area under the receiver operating characteristic curve
Timeframe: Perioperative