The recent categorization of low-grade Glioma (LGG) has been modified based on the molecular aberrations associated with IDH mutations (IDHmut or IDH-WT) and 1p19q co-deletions (codel or non-codel). We explored the utility of radiogenomic analysis to identify radiomics signatures (computer extracted features from MRI) that distinguish IDHmut codel, IDHmut noncodel, and IDH-WT LGG tumors on T2 and FLAIR sequences. Initial results indicate that radiomic features from non-enhancing regions on T2 and infiltrative edges on FLAIR can segregate the 3 subgroups. A non-invasive means of discerning molecular subtypes on MRI may allow clinicians to determine prognosis, and inform treatment strategy.
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