MRI Surrogates forMolecular Subgroups ofMedulloblastoma

BACKGROUND AND PURPOSE: Recently identified molecular subgroups of medulloblastoma have shown potential for improved risk stratification. We hypothesized that distinct MR imaging features can predict these subgroups. MATERIALS AND METHODS: All patients with a diagnosis of medulloblastoma at one institution, with both pretherapy MR imaging and surgical tissue, served as the discovery cohort (n 47). MR imaging features were assessed by 3 blinded neuroradiologists. NanoString-based assay of tumor tissues was conducted to classify the tumors into the 4 established molecular subgroups (wingless, sonic hedgehog, group 3, and group 4). A second pediatric medulloblastoma cohort (n 52) from an independent institution was used for validation of the MR imaging features predictive of the molecular subtypes. RESULTS: Logistic regression analysis within the discovery cohort revealed tumor location (P .001) and enhancement pattern (P .001) to be significant predictors of medulloblastoma subgroups. Stereospecific computational analyses confirmed that group 3 and 4 tumors predominated within the midline fourth ventricle (100%, P .007), wingless tumors were localized to the cerebellar peduncle/cerebello-pontine angle cistern with a positive predictive value of 100 % (95 % CI, 30%–100%), and sonic hedgehog tumors arose in the cerebellar hemispheres with a positive predictive value of 100 % (95 % CI, 59%–100%). Midline group 4 tumors presented with minimal/no enhance-ment with a positive predictive value of 91 % (95 % CI, 59%–98%). When we used the MR imaging feature–based regression model, 66 % of medulloblastomas were correctly predicted in the discovery cohort, and 65%, in the validation cohort