Advanced MR Techniques for Preoperative Glioma Characterization: Part 1

Lydiane Hirschler; Nico Sollmann; Bárbara 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. Keil; Mina 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

doi:10.1002/jmri.28662

Advanced MR Techniques for Preoperative Glioma Characterization: Part 1

Lydiane Hirschler
, Nico Sollmann
, Bárbara 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. Keil

Mina 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

Leiden University
Ulm University
Klinikum Rechts der Isar
Medical Delta
University of Oxford
Erasmus University Rotterdam
Vrije Universiteit Amsterdam
University College London
King's College London
King's College Hospital NHS Foundation Trust
University of Navarra
Hospital Santa Luzia
University of Presov in Presov
Ghent University
Ghent University Hospital
Instituto de Investigación Sanitaria de Navarra
Medical University of Vienna
Danube Private University (DPU)
Polytechnic University of Valencia
Bogazici University
Cancer Center Amsterdam
Haaglanden Medisch Centrum (HMC)
Imperial College London
Institute of Cancer Research
Babes-Bolyai University
Istinye University
Medical College of Wisconsin
Oslo University Hospital
University of Oslo
Delft University of Technology
Mathematical Modelling and Intelligent Systems for Health and Environment (MISHE)
Stanford University
Masaryk University
Hospital Garcia de Orta
Helmholtz-Zentrum Dresden-Rossendorf
Christian Doppler Research Association

Research output: Contribution to journal › Review article › peer-review

57 Citations (Scopus)

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.

Original language	English
Pages (from-to)	1655-1675
Number of pages	21
Journal	Journal of Magnetic Resonance Imaging
Volume	57
Issue number	6
DOIs	https://doi.org/10.1002/jmri.28662
Publication status	Published - Jun 2023

Keywords

GliMR 2.0
brain
contrasts
glioma
level of clinical validation
preoperative

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10.1002/jmri.28662

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Hirschler, L., Sollmann, N., Schmitz-Abecassis, B., Pinto, J., Arzanforoosh, F., Barkhof, F., Booth, T., Calvo-Imirizaldu, M., Cassia, G., Chmelik, M., Clement, P., Ercan, E., Fernández-Seara, M. A., Furtner, J., Fuster-Garcia, E., Grech-Sollars, M., Guven, N. T., Hatay, G. H., Karami, G., ... Hangel, G. (2023). Advanced MR Techniques for Preoperative Glioma Characterization: Part 1. Journal of Magnetic Resonance Imaging, 57(6), 1655-1675. https://doi.org/10.1002/jmri.28662

@article{b6e302d31ebd4c5196f374572baea951,

title = "Advanced MR Techniques for Preoperative Glioma Characterization: Part 1",

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.",

keywords = "GliMR 2.0, brain, contrasts, glioma, level of clinical validation, preoperative",

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

note = "Publisher Copyright: {\textcopyright} 2023 The Authors. Journal of Magnetic Resonance Imaging published by Wiley Periodicals LLC on behalf of International Society for Magnetic Resonance in Medicine.",

year = "2023",

month = jun,

doi = "10.1002/jmri.28662",

language = "English",

volume = "57",

pages = "1655--1675",

journal = "Journal of Magnetic Resonance Imaging",

issn = "1053-1807",

number = "6",

}

Hirschler, L, Sollmann, N, Schmitz-Abecassis, B, Pinto, J, Arzanforoosh, F, Barkhof, F, Booth, T, Calvo-Imirizaldu, M, Cassia, G, Chmelik, M, Clement, P, Ercan, E, Fernández-Seara, MA, Furtner, J, Fuster-Garcia, E, Grech-Sollars, M, Guven, NT, Hatay, GH, Karami, G, Keil, VC, Kim, M, Koekkoek, JAF, Kukran, S, Mancini, L, Nechifor, RE, Özcan, A, Ozturk-Isik, E, Piskin, S, Schmainda, K, Svensson, SF, Tseng, CH, Unnikrishnan, S, Vos, F, Warnert, E, Zhao, MY, Jancalek, R, Nunes, T, Emblem, KE, Smits, M, Petr, J & Hangel, G 2023, 'Advanced MR Techniques for Preoperative Glioma Characterization: Part 1', Journal of Magnetic Resonance Imaging, vol. 57, no. 6, pp. 1655-1675. https://doi.org/10.1002/jmri.28662

TY - JOUR

T1 - Advanced MR Techniques for Preoperative Glioma Characterization

T2 - Part 1

AU - Hirschler, Lydiane

AU - Sollmann, Nico

AU - Schmitz-Abecassis, Bárbara

AU - Pinto, Joana

AU - Arzanforoosh, Fatemehsadat

AU - Barkhof, Frederik

AU - Booth, Thomas

AU - Calvo-Imirizaldu, Marta

AU - Cassia, Guilherme

AU - Chmelik, Marek

AU - Clement, Patricia

AU - Ercan, Ece

AU - Fernández-Seara, Maria A.

AU - Furtner, Julia

AU - Fuster-Garcia, Elies

AU - Grech-Sollars, Matthew

AU - Guven, Nazmiye Tugay

AU - Hatay, Gokce Hale

AU - Karami, Golestan

AU - Keil, Vera C.

AU - Kim, Mina

AU - Koekkoek, Johan A.F.

AU - Kukran, Simran

AU - Mancini, Laura

AU - Nechifor, Ruben Emanuel

AU - Özcan, Alpay

AU - Ozturk-Isik, Esin

AU - Piskin, Senol

AU - Schmainda, Kathleen

AU - Svensson, Siri F.

AU - Tseng, Chih Hsien

AU - Unnikrishnan, Saritha

AU - Vos, Frans

AU - Warnert, Esther

AU - Zhao, Moss Y.

AU - Jancalek, Radim

AU - Nunes, Teresa

AU - Emblem, Kyrre E.

AU - Smits, Marion

AU - Petr, Jan

AU - Hangel, Gilbert

PY - 2023/6

Y1 - 2023/6

N2 - 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.

AB - 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.

KW - GliMR 2.0

KW - brain

KW - contrasts

KW - glioma

KW - level of clinical validation

KW - preoperative

UR - https://www.scopus.com/pages/publications/85149469575

U2 - 10.1002/jmri.28662

DO - 10.1002/jmri.28662

M3 - Review article

C2 - 36866773

AN - SCOPUS:85149469575

SN - 1053-1807

VL - 57

SP - 1655

EP - 1675

JO - Journal of Magnetic Resonance Imaging

JF - Journal of Magnetic Resonance Imaging

IS - 6

ER -

Advanced MR Techniques for Preoperative Glioma Characterization: Part 1

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Keywords

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