Advanced MR techniques for preoperative glioma characterization: Part 1
Author(s)
Hirschler, Lydiane
Sollmann, Nico
Schmitz-Abecassis, Bárbara
Pinto, Joana
Arzanforoosh, Fatemehsadat
Type
Journal Article
Abstract
Preoperative clinical magnetic resonance imaging (MRI) protocols for gliomas, brain tumors with dismal outcomes due to their infiltrative properties, still rely on conventional structural MRI, which does not deliver information on tumor genotype and is limited in the delineation of diffuse gliomas. The GliMR COST action wants to raise awareness about the state of the art of advanced MRI techniques in gliomas and their possible clinical translation or lack thereof. This review describes current methods, limits, and applications of advanced MRI for the preoperative assessment of glioma, summarizing the level of clinical validation of different techniques. In this first part, we discuss dynamic susceptibility contrast and dynamic contrast-enhanced MRI, arterial spin labeling, diffusion-weighted MRI, vessel imaging, and magnetic resonance fingerprinting. The second part of this review addresses magnetic resonance spectroscopy, chemical exchange saturation transfer, susceptibility-weighted imaging, MRI-PET, MR elastography, and MR-based radiomics applications. Evidence Level: 3 Technical Efficacy: Stage 2.
Date Issued
2023-06
Date Acceptance
2023-02-09
Citation
Journal of Magnetic Resonance Imaging, 2023, 57 (6), pp.1655-1675
ISSN
1053-1807
Publisher
Wiley
Start Page
1655
End Page
1675
Journal / Book Title
Journal of Magnetic Resonance Imaging
Volume
57
Issue
6
Copyright Statement
© 2023 The Authors. Journal of Magnetic Resonance Imaging published by Wiley Periodicals LLC on behalf of International Society for Magnetic Resonance in Medicine. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
License URL
Identifier
https://www.ncbi.nlm.nih.gov/pubmed/36866773
Subjects
brain
contrasts
GliMR 2.0
glioma
level of clinical validation
preoperative
Publication Status
Published
Coverage Spatial
United States
Date Publish Online
2023-03-03