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Preoperative T1 anatomic MR images of 384 patients with glioblastomas were evaluated by an automated computational image-analysis pipeline to determine the anatomic locations of tumor in each patient. Voxel-based differences in tumor location between good and poor survival groups identified in the training cohort were used to classify patients in The Cancer Genome Atlas cohort into 2 brain-location groups, for which clinical features, messenger RNA expression, and copy number changes were compared. Tumors in the right occipitotemporal periventricular white matter were significantly associated with poor survival in both training and test cohorts. Tumors in the right periatrial location were associated with hypoxia pathway enrichment and PDGFRA amplification. The authors conclude that voxel-based location in glioblastoma is associated with patient outcome and may have a potential role for guiding personalized treatment.