Radiogenomics of Gliomas

Radiol Clin North Am. 2021 May;59(3):441-455. doi: 10.1016/j.rcl.2021.02.002.

Abstract

The 2016 World Health Organization brain tumor classification is based on genomic and molecular profile of tumor tissue. These characteristics have improved understanding of the brain tumor and played an important role in treatment planning and prognostication. There is an ongoing effort to develop noninvasive imaging techniques that provide insight into tissue characteristics at the cellular and molecular levels. This article focuses on the molecular characteristics of gliomas, transcriptomic subtypes, and radiogenomic studies using semantic and radiomic features. The limitations and future directions of radiogenomics as a standalone diagnostic tool also are discussed.

Keywords: 1p/19q codeletion; Epidermal growth factor receptor (EGFR) and vascular endothelial growth factor (VEGF); Gliomagenesis; Isocitrate dehydrogenase (IDH); Radiogenomics; Radiomics; The cancer genome atlas (TCGA); Visually accessible rembrandt imaging (VASARI) feature set.

Publication types

  • Review

MeSH terms

  • Brain / diagnostic imaging
  • Brain Neoplasms / diagnostic imaging*
  • Brain Neoplasms / genetics*
  • Diagnostic Imaging / methods*
  • Glioma / diagnostic imaging*
  • Glioma / genetics*
  • Humans
  • Imaging Genomics / methods*