Clinical Research Directory

GliomaAI-Oligo: MRI-Based Detection of IDH Mutant Oligodendroglioma

The goal of this observational study is to learn whether an artificial intelligence system called GliomaAI-Oligo can help detect a specific molecular type of brain tumour called Oligodendroglioma 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-Oligo identify Oligodendroglioma 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.

A Randomized Trial of Delayed Radiotherapy in Patients Low-grade Oligodendrogliomas Requiring a Treatment Other Than Surgery

Because of their prolonged survival, patients with 1p/19q-codeleted low-grade oligodendrogliomas treated with RT + PCV are at risk of neurocognitive deterioration. We make the hypothesis that withholding radiotherapy until tumor progression could reduce the risk of neurocognitive deterioration without impairing overall survival.