INTRODUCTION: MR imaging can noninvasively visualize @entity5 phenotype characteristics at the macroscopic level. Here, we investigated whether somatic mutations are associated with and can be predicted by MRI-derived @entity5 imaging features of @entity463 ( @entity463 ). METHODS: Seventy-six @entity463 @entity1 were identified from The Cancer Imaging Archive for whom preoperative T1-contrast ( @entity39224 ) and T2-FLAIR MR images were available. For each @entity5 , a set of volumetric imaging features and their ratios were measured, including @entity39 , contrast enhancing, and @entity4 volumes. Imaging genomics analysis assessed the association of these features with mutation status of nine genes frequently altered in adult @entity463 . Finally, area under the curve (AUC) analysis was conducted to evaluate the predictive performance of imaging features for mutational status. RESULTS: Our results demonstrate that MR imaging features are strongly associated with mutation status. For example, @entity876 -mutated @entity5 had significantly smaller contrast enhancing and @entity39 volumes (p   =   0.012 and 0.017, respectively) and @entity996 -mutated @entity5 had significantly smaller @entity4 volumes (p   =   0.015) compared to wild-type @entity5 . MRI volumetric features were also found to significantly predict mutational status. For example, AUC analysis results indicated that @entity876 , @entity996 , @entity1265 , @entity470 , and @entity675 mutations could each be significantly predicted by at least one imaging feature. CONCLUSION: MRI-derived volumetric features are significantly associated with and predictive of several @entity5 -relevant, drug-targetable DNA mutations in @entity463 . These results may shed insight into unique growth characteristics of individual @entity5 at the macroscopic level resulting from molecular events as well as increase the use of noninvasive imaging in personalized medicine.

Somatic mutations associated with MRI-derived volumetric features in XXXX .

@entity1 :: ('9606', 'Species') :: ['patients'] @entity39224 :: ('c|SUB|T|1|C', 'DNAMutation') :: ['T1C'] @entity675 :: ('5156', 'Gene') :: ['PDGFRA'] @entity39 :: ('MESH:D009336', 'Disease') :: ['necrosis'] @entity5 :: ('MESH:D009369', 'Disease') :: ['tumor', 'cancer', 'tumors'] @entity4 :: ('MESH:D004487', 'Disease') :: ['edema'] @entity996 :: ('5925', 'Gene') :: ['RB1'] @entity470 :: ('1956', 'Gene') :: ['EGFR'] @entity1265 :: ('4763', 'Gene') :: ['NF1'] @entity876 :: ('7157', 'Gene') :: ['TP53'] @entity463 :: ('MESH:D005909', 'Disease') :: ['GBM', 'glioblastoma']
@entity463 :: (MESH:D005909,Disease) :: ['glioblastoma']
