title: Imaging Genomics in Glioblastoma Multiforme: A Predictive Tool for Patients Prognosis, Survival, and Outcome.
abstract: The integration of imaging characteristics and genomic data has started a new trend in approach toward management of glioblastoma (GBM). Many ongoing studies are investigating imaging phenotypical signatures that could explain more about the behavior of GBM and its outcome. The discovery of biomarkers has played an adjuvant role in treating and predicting the outcome of patients with GBM. Discovering these imaging phenotypical signatures and dysregulated pathways/genes is needed and required to engineer treatment based on specific GBM manifestations. Characterizing these parameters will establish well-defined criteria so researchers can build on the treatment of GBM through personal medicine.
authors.affiliation: Department of Neuroradiology, The University of Texas MD Anderson Cancer Center, 1400 Pressler Street, Houston, TX 77030, USA.
authors.forename: Rahul
authors.initials: R
authors.lastname: Anil
authors.affiliation: Department of Neuroradiology, The University of Texas MD Anderson Cancer Center, 1400 Pressler Street, Houston, TX 77030, USA. Electronic address: RColen@mdanderson.org.
authors.forename: Rivka R
authors.initials: RR
authors.lastname: Colen
mesh_terms: D001921:Brain / Q000000981:diagnostic imaging; D001932:Brain Neoplasms / Q000175:diagnosis* / Q000000981:diagnostic imaging / Q000235:genetics*; D023281:Genomics / Q000379:methods*; D005909:Glioblastoma / Q000175:diagnosis* / Q000000981:diagnostic imaging / Q000235:genetics*; D006801:Humans; D008279:Magnetic Resonance Imaging; D017063:Outcome Assessment, Health Care; D011237:Predictive Value of Tests; D011379:Prognosis; D016019:Survival Analysis
keywords: Genomics; Glioblastoma; Imaging; Outcome; Prognosis; Survival