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. Keil; Mina 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

doi:https://doi.org/10.1002/jmri.28663

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 journal › Review article › Academic › peer-review

12 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 language	English
Pages (from-to)	1676-1695
Number of pages	20
Journal	Journal of magnetic resonance imaging
Volume	57
Issue number	6
Early online date	2023
DOIs	https://doi.org/10.1002/jmri.28663
Publication status	Published - Jun 2023

Keywords

GliMR 2.0
brain
contrasts
glioma
level of clinical validation
preoperative

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Hangel, G., Schmitz-Abecassis, B. R., Sollmann, N., 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., ... Emblem, K. E. (2023). Advanced MR Techniques for Preoperative Glioma Characterization: Part 2. Journal of magnetic resonance imaging, 57(6), 1676-1695. https://doi.org/10.1002/jmri.28663

@article{543dea3493c0497d9d7c22f1046d5629,

title = "Advanced MR Techniques for Preoperative Glioma Characterization: Part 2",

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.",

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

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

note = "Funding Information: Contract grant sponsor: This review was funded by grants from the following agencies: Dutch Research Council (NWO); Contract grant number: Veni project numbers 91619121 and 16862, VICI project number 016.160.351; Contract grant sponsor: Wellcome Trust; Contract grant number: 2022‐24, 203148/A/16/Z; Contract grant sponsor: Spanish Ministry of Science and Innovation; Contract grant number: PI18/00084; Contract grant sponsor: Spanish State Research Agency, Subprogram for Knowledge Generation (PROGRESS); Contract grant number: No PID2021‐127110OA‐I00;. Contract grant sponsor: Austrian Science Funds (FWF) projects; Contract grant number: KLI 646 and 1089; Contract grant sponsor: a 2021 Comprehensive Cancer Center grant of the Medical University of Vienna; Contract grant sponsor: The Turkish Directorate of Strategy and Budget under the TAM Project number 2007 K12‐873; Contract grant sponsor: INTER‐EXCELLENCE, subprogram INTER‐COST of the Ministry of Education, Youth and Sports CZ; Contract grant number: LTC20027; Contract grant sponsor: TUBITAK 1003; Contract grant number: grant 216S432; Contract grant sponsor: European Research Agency, Marie Sklodowska Curie Fellowship, Horizon 2020; Contract grant number: NIH/NCI U01 CA176110, NIH/NCI R01 CA264992, NIH/NCI CA255123; Contract grant sponsor: HollandPTC‐Varian; Contract grant number: 2018017; Contract grant sponsor: European Union's Horizon 2020 Programme; Contract grant number: ERC Grant Agreement No. 758657‐ImPRESS; Contract grant sponsor: South‐Eastern Norway Regional Health Authority Grant Agreements; Contract grant number: No. 2016102, 2017073, 2013069; Contract grant sponsor: the Norwegian Cancer Society and the Research Council of Norway FRIPRO Grant Agreements; Contract grant number: No. 261984, 303249; Contract grant sponsor: the MS Society of the United Kingdom; Contract grant number: 125; and Contract grant sponsor: the American Heart Association; Contract grant number: 826254. This publication is part of the COST Action CA18206 Glioma MR Imaging 2.0, supported by COST (European Cooperation in Science and Technology), www.cost.eu www.glimr.eu . Funding Information: The authors want to thank Rosa Ayesa Arriola, Martin Barak, Paula Croal, Philip De Witt Hamer, Vasileios K. Katsaros, Mary Pelechrini, Zahra Shams, Danai-Eleni Stefanou, Ioannis John Toliopoulos, and Hana Valekova for their assistance with earlier versions of this manuscript. 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 = "https://doi.org/10.1002/jmri.28663",

language = "English",

volume = "57",

pages = "1676--1695",

journal = "Journal of magnetic resonance imaging",

issn = "1053-1807",

publisher = "John Wiley and Sons Inc.",

number = "6",

}

Hangel, G, Schmitz-Abecassis, BR, Sollmann, N, 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, KM, Svensson, SF, Tseng, C-H, Unnikrishnan, S, Vos, F, Warnert, E, Zhao, MY, Jancalek, R, Nunes, T, Hirschler, L, Smits, M, Petr, J & Emblem, KE 2023, 'Advanced MR Techniques for Preoperative Glioma Characterization: Part 2', Journal of magnetic resonance imaging, vol. 57, no. 6, pp. 1676-1695. https://doi.org/10.1002/jmri.28663

TY - JOUR

T1 - Advanced MR Techniques for Preoperative Glioma Characterization

T2 - Part 2

AU - Hangel, Gilbert

AU - Schmitz-Abecassis, B. rbara

AU - Sollmann, Nico

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, N. 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 M.

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 - Hirschler, Lydiane

AU - Smits, Marion

AU - Petr, Jan

AU - Emblem, Kyrre E.

N1 - Funding Information: Contract grant sponsor: This review was funded by grants from the following agencies: Dutch Research Council (NWO); Contract grant number: Veni project numbers 91619121 and 16862, VICI project number 016.160.351; Contract grant sponsor: Wellcome Trust; Contract grant number: 2022‐24, 203148/A/16/Z; Contract grant sponsor: Spanish Ministry of Science and Innovation; Contract grant number: PI18/00084; Contract grant sponsor: Spanish State Research Agency, Subprogram for Knowledge Generation (PROGRESS); Contract grant number: No PID2021‐127110OA‐I00;. Contract grant sponsor: Austrian Science Funds (FWF) projects; Contract grant number: KLI 646 and 1089; Contract grant sponsor: a 2021 Comprehensive Cancer Center grant of the Medical University of Vienna; Contract grant sponsor: The Turkish Directorate of Strategy and Budget under the TAM Project number 2007 K12‐873; Contract grant sponsor: INTER‐EXCELLENCE, subprogram INTER‐COST of the Ministry of Education, Youth and Sports CZ; Contract grant number: LTC20027; Contract grant sponsor: TUBITAK 1003; Contract grant number: grant 216S432; Contract grant sponsor: European Research Agency, Marie Sklodowska Curie Fellowship, Horizon 2020; Contract grant number: NIH/NCI U01 CA176110, NIH/NCI R01 CA264992, NIH/NCI CA255123; Contract grant sponsor: HollandPTC‐Varian; Contract grant number: 2018017; Contract grant sponsor: European Union's Horizon 2020 Programme; Contract grant number: ERC Grant Agreement No. 758657‐ImPRESS; Contract grant sponsor: South‐Eastern Norway Regional Health Authority Grant Agreements; Contract grant number: No. 2016102, 2017073, 2013069; Contract grant sponsor: the Norwegian Cancer Society and the Research Council of Norway FRIPRO Grant Agreements; Contract grant number: No. 261984, 303249; Contract grant sponsor: the MS Society of the United Kingdom; Contract grant number: 125; and Contract grant sponsor: the American Heart Association; Contract grant number: 826254. This publication is part of the COST Action CA18206 Glioma MR Imaging 2.0, supported by COST (European Cooperation in Science and Technology), www.cost.eu www.glimr.eu . Funding Information: The authors want to thank Rosa Ayesa Arriola, Martin Barak, Paula Croal, Philip De Witt Hamer, Vasileios K. Katsaros, Mary Pelechrini, Zahra Shams, Danai-Eleni Stefanou, Ioannis John Toliopoulos, and Hana Valekova for their assistance with earlier versions of this manuscript. Publisher Copyright: © 2023 The Authors. Journal of Magnetic Resonance Imaging published by Wiley Periodicals LLC on behalf of International Society for Magnetic Resonance in Medicine.

PY - 2023/6

Y1 - 2023/6

N2 - 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.

AB - 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.

KW - GliMR 2.0

KW - brain

KW - contrasts

KW - glioma

KW - level of clinical validation

KW - preoperative

UR - https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85150601586&origin=inward

UR - https://www.ncbi.nlm.nih.gov/pubmed/36912262

U2 - https://doi.org/10.1002/jmri.28663

DO - https://doi.org/10.1002/jmri.28663

M3 - Review article

C2 - 36912262

SN - 1053-1807

VL - 57

SP - 1676

EP - 1695

JO - Journal of magnetic resonance imaging

JF - Journal of magnetic resonance imaging

IS - 6

ER -

Advanced MR Techniques for Preoperative Glioma Characterization: Part 2

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