Advanced MR Techniques for Preoperative Glioma Characterization: Part 2

Gilbert Hangel, B. rbara Schmitz-Abecassis, Nico Sollmann, Joana Pinto, Fatemehsadat Arzanforoosh, Frederik Barkhof, Thomas Booth, Marta Calvo-Imirizaldu, Guilherme Cassia, Marek Chmelik, Patricia Clement, Ece Ercan, Maria A. Fernández-Seara, Julia Furtner, Elies Fuster-Garcia, Matthew Grech-Sollars, N. Tugay Guven, Gokce Hale Hatay, Golestan Karami, Vera C. KeilMina Kim, Johan A. F. Koekkoek, Simran Kukran, Laura Mancini, Ruben Emanuel Nechifor, Alpay Özcan, Esin Ozturk-Isik, Senol Piskin, Kathleen M. Schmainda, Siri F. Svensson, Chih-Hsien Tseng, Saritha Unnikrishnan, Frans Vos, Esther Warnert, Moss Y. Zhao, Radim Jancalek, Teresa Nunes, Lydiane Hirschler, Marion Smits, Jan Petr, Kyrre E. Emblem

Research output: Contribution to journalReview articleAcademicpeer-review

15 Citations (Scopus)

Abstract

Preoperative clinical 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. 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 second part, we review magnetic resonance spectroscopy (MRS), chemical exchange saturation transfer (CEST), susceptibility-weighted imaging (SWI), MRI-PET, MR elastography (MRE), and MR-based radiomics applications. The first part of this review addresses dynamic susceptibility contrast (DSC) and dynamic contrast-enhanced (DCE) MRI, arterial spin labeling (ASL), diffusion-weighted MRI, vessel imaging, and magnetic resonance fingerprinting (MRF). Evidence Level: 3. Technical Efficacy: Stage 2.
Original languageEnglish
Pages (from-to)1676-1695
Number of pages20
JournalJournal of magnetic resonance imaging
Volume57
Issue number6
Early online date2023
DOIs
Publication statusPublished - Jun 2023

Keywords

  • GliMR 2.0
  • brain
  • contrasts
  • glioma
  • level of clinical validation
  • preoperative

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