The goal of this observational study is to learn whether an artificial intelligence system called GliomaAI-Astro4 can help detect a specific molecular type of brain tumour called IDH mutant Astrocytoma Grade 4 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-Astro4 identify IDH mutant Astrocytoma Grade 4 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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Diagnostic performance of GliomaAI-Astro4 for identification of IDH mutant astrocytoma grade 4 from MRI, measured by accuracy, sensitivity, specificity, positive predictive value, negative predictive value, and area under the ROC.
Timeframe: Perioperative