NIMG-70. THE EFFECT OF PATIENT AGE AT GLIOMA PRESENTATION ON MRI PHENOTYPE: A COMPREHENSIVE ANALYSIS OF VASARI-BASED FEATURE-SET CRITERIA IN 711 PATIENTS

摘要

BACKGROUNDTumor morphological features affect patient survival after glioma diagnosis. VASARI-based feature-set criteria are used to characterize glioma MRI phenotypes. We examined whether a large panel of features, including aggressive glioma MRI biomarkers, were more pronounced at different ages. Establishing the role of age as a possible confounder serves as baseline for future more extensive radiogenomic correlations to account for worsening prognosis of glioblastoma with increasing age (>40yr).