Hirschler, Lydiane;
Sollmann, Nico;
Schmitz‐Abecassis, Bárbara;
Pinto, Joana;
Arzanforoosh, Fatemehsadat;
Barkhof, Frederik;
Booth, Thomas;
... Hangel, Gilbert; + view all
(2023)
Advanced MR Techniques for Preoperative
Glioma Characterization: Part 1.
Journal of Magnetic Resonance Imaging
10.1002/jmri.28662.
(In press).
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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
| Type: | Article |
|---|---|
| Title: | Advanced MR Techniques for Preoperative Glioma Characterization: Part 1 |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1002/jmri.28662 |
| Publisher version: | https://doi.org/10.1002/jmri.28662 |
| Language: | English |
| Additional information: | © 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. |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Med Phys and Biomedical Eng |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10166032 |
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