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. 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

Cancer Imaging

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

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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

Original language	English
Pages (from-to)	1655-1675
Number of pages	21
Journal	Journal of Magnetic Resonance Imaging
Volume	57
Issue number	6
Early online date	3 Mar 2023
DOIs	https://doi.org/10.1002/jmri.28662
Publication status	Published - Jun 2023

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Magnetic Resonance Imaging - 2023 - Hirschler - Advanced MR Techniques for Preoperative Glioma Characterization Part 1Final published version, 5.96 MBLicence: CC BY

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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{c34b0070a7b14160aa937aeedc13ca7d,

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: 3Technical Efficacy: Stage 2",

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 Chih‐hsien Tseng 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 = "Funding Information: We 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. This review was funded by grants from the following agencies: Dutch Research Council (NWO), Veni project numbers 91619121 and 16862, VICI project number 016.160.351; Wellcome Trust 2022‐24, 203148/A/16/Z; Spanish Ministry of Science and Innovation (grant: PI18/00084), Spanish State Research Agency, Subprogram for Knowledge Generation (PROGRESS, No PID2021‐127110OA‐I00). Austrian Science Funds (FWF) projects KLI 646 and 1089; a 2021 Comprehensive Cancer Center grant of the Medical University of Vienna; The Turkish Directorate of Strategy and Budget under the TAM Project number 2007K12‐873; INTER‐EXCELLENCE, subprogram INTER‐COST of the Ministry of Education, Youth and Sports CZ, Grant No. LTC20027; TUBITAK 1003 grant 216S432; European Research Agency, Marie Sklodowska Curie Fellowship, Horizon 2020; NIH/NCI U01 CA176110, NIH/NCI R01 CA264992, NIH/NCI CA255123; HollandPTC‐Varian grant ID: 2018017; European Union's Horizon 2020 Programme: ERC Grant Agreement No. 758657‐ImPRESS; South‐Eastern Norway Regional Health Authority Grant Agreements No. 2016102, 2017073, 2013069; the Norwegian Cancer Society and the Research Council of Norway FRIPRO Grant Agreements No. 261984, 303249; the MS Society of the United Kingdom (grant: 125); and the American Heart Association (Grant: 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: We 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. This review was funded by grants from the following agencies: Dutch Research Council (NWO), Veni project numbers 91619121 and 16862, VICI project number 016.160.351; Wellcome Trust 2022-24, 203148/A/16/Z; Spanish Ministry of Science and Innovation (grant: PI18/00084), Spanish State Research Agency, Subprogram for Knowledge Generation (PROGRESS, No PID2021-127110OA-I00). Austrian Science Funds (FWF) projects KLI 646 and 1089; a 2021 Comprehensive Cancer Center grant of the Medical University of Vienna; The Turkish Directorate of Strategy and Budget under the TAM Project number 2007K12-873; INTER-EXCELLENCE, subprogram INTER-COST of the Ministry of Education, Youth and Sports CZ, Grant No. LTC20027; TUBITAK 1003 grant 216S432; European Research Agency, Marie Sklodowska Curie Fellowship, Horizon 2020; NIH/NCI U01 CA176110, NIH/NCI R01 CA264992, NIH/NCI CA255123; HollandPTC-Varian grant ID: 2018017; European Union's Horizon 2020 Programme: ERC Grant Agreement No. 758657-ImPRESS; South-Eastern Norway Regional Health Authority Grant Agreements No. 2016102, 2017073, 2013069; the Norwegian Cancer Society and the Research Council of Norway FRIPRO Grant Agreements No. 261984, 303249; the MS Society of the United Kingdom (grant: 125); and the American Heart Association (Grant: 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. 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 = "1522-2586",

publisher = "John Wiley and Sons Inc.",

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, C, 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: 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

N1 - Funding Information: We 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. This review was funded by grants from the following agencies: Dutch Research Council (NWO), Veni project numbers 91619121 and 16862, VICI project number 016.160.351; Wellcome Trust 2022‐24, 203148/A/16/Z; Spanish Ministry of Science and Innovation (grant: PI18/00084), Spanish State Research Agency, Subprogram for Knowledge Generation (PROGRESS, No PID2021‐127110OA‐I00). Austrian Science Funds (FWF) projects KLI 646 and 1089; a 2021 Comprehensive Cancer Center grant of the Medical University of Vienna; The Turkish Directorate of Strategy and Budget under the TAM Project number 2007K12‐873; INTER‐EXCELLENCE, subprogram INTER‐COST of the Ministry of Education, Youth and Sports CZ, Grant No. LTC20027; TUBITAK 1003 grant 216S432; European Research Agency, Marie Sklodowska Curie Fellowship, Horizon 2020; NIH/NCI U01 CA176110, NIH/NCI R01 CA264992, NIH/NCI CA255123; HollandPTC‐Varian grant ID: 2018017; European Union's Horizon 2020 Programme: ERC Grant Agreement No. 758657‐ImPRESS; South‐Eastern Norway Regional Health Authority Grant Agreements No. 2016102, 2017073, 2013069; the Norwegian Cancer Society and the Research Council of Norway FRIPRO Grant Agreements No. 261984, 303249; the MS Society of the United Kingdom (grant: 125); and the American Heart Association (Grant: 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: We 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. This review was funded by grants from the following agencies: Dutch Research Council (NWO), Veni project numbers 91619121 and 16862, VICI project number 016.160.351; Wellcome Trust 2022-24, 203148/A/16/Z; Spanish Ministry of Science and Innovation (grant: PI18/00084), Spanish State Research Agency, Subprogram for Knowledge Generation (PROGRESS, No PID2021-127110OA-I00). Austrian Science Funds (FWF) projects KLI 646 and 1089; a 2021 Comprehensive Cancer Center grant of the Medical University of Vienna; The Turkish Directorate of Strategy and Budget under the TAM Project number 2007K12-873; INTER-EXCELLENCE, subprogram INTER-COST of the Ministry of Education, Youth and Sports CZ, Grant No. LTC20027; TUBITAK 1003 grant 216S432; European Research Agency, Marie Sklodowska Curie Fellowship, Horizon 2020; NIH/NCI U01 CA176110, NIH/NCI R01 CA264992, NIH/NCI CA255123; HollandPTC-Varian grant ID: 2018017; European Union's Horizon 2020 Programme: ERC Grant Agreement No. 758657-ImPRESS; South-Eastern Norway Regional Health Authority Grant Agreements No. 2016102, 2017073, 2013069; the Norwegian Cancer Society and the Research Council of Norway FRIPRO Grant Agreements No. 261984, 303249; the MS Society of the United Kingdom (grant: 125); and the American Heart Association (Grant: 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. 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 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: 3Technical 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: 3Technical Efficacy: Stage 2

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U2 - 10.1002/jmri.28662

DO - 10.1002/jmri.28662

M3 - Review article

SN - 1522-2586

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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