title: Predicting MGMT methylation status of glioblastomas from MRI texture.
abstract: In glioblastoma (GBM), promoter methylation of the DNA repair gene MGMT is associated with benefit from chemotherapy. Because MGMT promoter methylation status can not be determined in all cases, a surrogate for the methylation status would be a useful clinical tool. Correlation between methylation status and magnetic resonance imaging features has been reported suggesting that non-invasive MGMT promoter methylation status detection is possible. In this work, a retrospective analysis of T2, FLAIR and T1-post contrast MR images in patients with newly diagnosed GBM is performed using L1-regularized neural networks. Tumor texture, assessed quantitatively was utilized for predicting the MGMT promoter methylation status of a GBM in 59 patients. The texture features were extracted using a space-frequency texture analysis based on the S-transform and utilized by a neural network to predict the methylation status of a GBM. Blinded classification of MGMT promoter methylation status reached an average accuracy of 87.7%, indicating that the proposed technique is accurate enough for clinical use.
authors.affiliation: Department of Radiology, University of Calgary, Alberta, Canada.
authors.forename: Ilya
authors.initials: I
authors.lastname: Levner
authors.forename: Sylvia
authors.initials: S
authors.lastname: Drabycz
authors.forename: Gloria
authors.initials: G
authors.lastname: Roldan
authors.forename: Paula
authors.initials: P
authors.lastname: De Robles
authors.forename: J Gregory
authors.initials: JG
authors.lastname: Cairncross
authors.forename: Ross
authors.initials: R
authors.lastname: Mitchell
mesh_terms: D000465:Algorithms; D014408:Biomarkers, Tumor / Q000235:genetics*; D001932:Brain Neoplasms / Q000235:genetics* / Q000473:pathology*; D019175:DNA Methylation / Q000235:genetics; D005909:Glioblastoma / Q000235:genetics* / Q000473:pathology*; D006801:Humans; D007089:Image Enhancement / Q000379:methods; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D008279:Magnetic Resonance Imaging / Q000379:methods*; D010363:Pattern Recognition, Automated / Q000379:methods; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity
chemical_list: D014408:Biomarkers, Tumor