Advanced MR techniques in glioblastoma imaging-upcoming challenges and how to face them

Eur Radiol. 2021 Sep;31(9):6652-6654. doi: 10.1007/s00330-021-07978-8. Epub 2021 Apr 22.

Abstract

• The management of gliomas has changed dramatically since the presentation of the revised WHO Classification of Tumors of the Central Nervous System in 2016 emphasizing the tumor heterogeneity based on their molecular profile.• The need for a more noninvasive characterization of glioblastomas (GBM) by establishing reliable imaging biomarkers to predict patient outcome and improve therapy monitoring is bigger than ever.• Multiparametric MRI, including promising newer techniques like electrical property tomography and mapping, may have the potential to provide enough information for intelligent imaging postprocessing algorithms to face the challenge by decoding GBM heterogeneity noninvasively.

Publication types

  • Editorial

MeSH terms

  • Algorithms
  • Brain Neoplasms* / diagnostic imaging
  • Diffusion Magnetic Resonance Imaging
  • Glioblastoma* / diagnostic imaging
  • Glioma*
  • Humans
  • Magnetic Resonance Imaging