Purpose Although glioblastoma (GBM) is the most common primary brain malignancy, few
tools exist to pre-operatively risk-stratify patients by overall survival (OS) or common genetic
alterations. We developed an MRI-based radiomics model to identify patients with EGFR
amplification, MGMT methylation, GBM subtype, and OS greater than 12 months. Methods
We retrospectively identified 235 patients with pathologically confirmed GBMs from the
Cancer Genome Atlas (88; TCGA) and MD Anderson Cancer Center (147; MDACC). After …

METHODS: We retrospectively identified 236 patients with pathologically confirmed GBMs
from the Cancer Genome Atlas (89; TCGA) and MD Anderson Cancer Center (147;
MDACC). After two neuro-radiologists segmented MRI tumor volumes, we extracted first
order and second order radiomic features (gray-level co-occurrence matrixes). We used the
Maximum Relevance Minimum Redundancy technique to identify the 100 most relevant
features and validated models using leave one out cross validation (LOOCV) and validation …