Advanced MR Techniques for Preoperative Glioma Characterization: Part 1

Lydiane Hirschler, Nico Sollmann, B. rbara Schmitz-Abecassis, 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, Nazmiye 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 Schmainda, Siri F. Svensson, Chih-Hsien Tseng, Saritha Unnikrishnan, Frans Vos, Esther Warnert, Moss Y. Zhao, Radim Jancalek, Teresa Nunes, Kyrre E. Emblem, Marion Smits, Jan Petr, Gilbert Hangel

Research output: Contribution to journalReview articleAcademicpeer-review

5 Citations (Scopus)


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.
Original languageEnglish
Pages (from-to)1655-1675
Number of pages21
JournalJournal of magnetic resonance imaging
Issue number6
Early online date2023
Publication statusPublished - Jun 2023


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

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