Imaging Genomics in Glioblastoma Multiforme: A Predictive Tool for Patients Prognosis, Survival, and Outcome

Rahul Anil, Rivka R. Colen

Research output: Contribution to journalReview articlepeer-review

8 Scopus citations

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.

Original languageEnglish (US)
Pages (from-to)731-740
Number of pages10
JournalMagnetic resonance imaging clinics of North America
Volume24
Issue number4
DOIs
StatePublished - Nov 1 2016

Keywords

  • Genomics
  • Glioblastoma
  • Imaging
  • Outcome
  • Prognosis
  • Survival

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging

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