Advanced MR Techniques for Preoperative Glioma Characterization: Part 1

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....

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Vydané v:Journal of magnetic resonance imaging Ročník 57; číslo 6; s. 1655 - 1675
Hlavní autori: Hirschler, Lydiane, Sollmann, Nico, Schmitz‐Abecassis, Bárbara, Pinto, Joana, Arzanforoosh, Fatemehsadat, Barkhof, Frederik, Booth, Thomas, Calvo‐Imirizaldu, Marta, Cassia, Guilherme, Chmelik, Marek, Clement, Patricia, Ercan, Ece, Fernández‐Seara, Maria A., Furtner, Julia, Fuster‐Garcia, Elies, Grech‐Sollars, Matthew, Guven, Nazmiye Tugay, Hatay, Gokce Hale, Karami, Golestan, Keil, Vera C., Kim, Mina, Koekkoek, Johan A. F., Kukran, Simran, Mancini, Laura, Nechifor, Ruben Emanuel, Özcan, Alpay, Ozturk‐Isik, Esin, Piskin, Senol, Schmainda, Kathleen, Svensson, Siri F., Tseng, Chih‐Hsien, Unnikrishnan, Saritha, Vos, Frans, Warnert, Esther, Zhao, Moss Y., Jancalek, Radim, Nunes, Teresa, Emblem, Kyrre E., Smits, Marion, Petr, Jan, Hangel, Gilbert
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Hoboken, USA John Wiley & Sons, Inc 01.06.2023
Wiley Subscription Services, Inc
Predmet:
brain
Brain cancer
Brain Neoplasms - diagnostic imaging
Brain Neoplasms - pathology
Brain Neoplasms - surgery
Brain tumors
contrasts
Diffusion Magnetic Resonance Imaging
Fingerprinting
Genotypes
GliMR 2.0
Glioma
Glioma - diagnostic imaging
Glioma - pathology
Glioma - surgery
Humans
level of clinical validation
Magnetic resonance imaging
Magnetic Resonance Imaging - methods
Magnetic resonance spectroscopy
Magnetic Resonance Spectroscopy - methods
Medical imaging
Neuroimaging
Positron emission
Positron emission tomography
preoperative
Radiomics
Review
Reviews
Spin dynamics
Spin labeling
Tumors
preoperative
glioma
level of clinical validation
brain
contrasts
GliMR 2.0
ISSN:1053-1807, 1522-2586, 1522-2586
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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
AbstractList 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
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
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.
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
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.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.
Author Tseng, Chih‐Hsien
Petr, Jan
Svensson, Siri F.
Hirschler, Lydiane
Hatay, Gokce Hale
Koekkoek, Johan A. F.
Mancini, Laura
Ozturk‐Isik, Esin
Sollmann, Nico
Cassia, Guilherme
Pinto, Joana
Schmainda, Kathleen
Zhao, Moss Y.
Chmelik, Marek
Clement, Patricia
Grech‐Sollars, Matthew
Nechifor, Ruben Emanuel
Fernández‐Seara, Maria A.
Özcan, Alpay
Warnert, Esther
Schmitz‐Abecassis, Bárbara
Barkhof, Frederik
Kukran, Simran
Fuster‐Garcia, Elies
Booth, Thomas
Hangel, Gilbert
Calvo‐Imirizaldu, Marta
Guven, Nazmiye Tugay
Vos, Frans
Arzanforoosh, Fatemehsadat
Piskin, Senol
Smits, Marion
Keil, Vera C.
Furtner, Julia
Nunes, Teresa
Ercan, Ece
Emblem, Kyrre E.
Kim, Mina
Karami, Golestan
Unnikrishnan, Saritha
Jancalek, Radim
AuthorAffiliation 45 Department of Neuroradiology Hospital Garcia de Orta Almada Portugal
1 C.J. Gorter MRI Center, Department of Radiology Leiden University Medical Center Leiden The Netherlands
14 Hospital Santa Luzia Rede D'Or São Luiz Brasília Brazil
51 Medical Imaging Cluster Medical University of Vienna Vienna Austria
42 Stanford Cardiovascular Institute Stanford University Stanford California USA
44 Faculty of Medicine, Masaryk University Brno Czech Republic
18 IdiSNA, Instituto de Investigación Sanitaria de Navarra Pamplona Spain
28 Department of Neurology Haaglanden Medical Center The Hague The Netherlands
49 High Field MR Centre, Department of Biomedical Imaging and Image‐guided Therapy Medical University of Vienna Vienna Austria
23 Lysholm Department of Neuroradiology, National Hospital for Neurology and Neurosurgery University College London Hospitals NHS Foundation Trust London UK
38 Department of Imaging Physics Delft University of Technology Delft The Netherlands
22 Centre for Medical Image Computin
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– name: 47 Helmholtz‐Zentrum Dresden‐Rossendorf Institute of Radiopharmaceutical Cancer Research Dresden Germany
– name: 48 Department of Neurosurgery Medical University of Vienna Vienna Austria
– name: 14 Hospital Santa Luzia Rede D'Or São Luiz Brasília Brazil
– name: 25 Cancer Center Amsterdam Amsterdam The Netherlands
– name: 50 Christian Doppler Laboratory for MR Imaging Biomarkers Vienna Austria
– name: 35 Department of Biophysics Medical College of Wisconsin Milwaukee Wisconsin USA
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– name: 12 Department of Neuroradiology King's College Hospital NHS Foundation Trust London UK
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– name: 10 Queen Square Institute of Neurology and Centre for Medical Image Computing University College London London UK
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– name: 15 Department of Technical Disciplines in Medicine, Faculty of Health Care University of Prešov Prešov Slovakia
– name: 30 Department of Radiotherapy and Imaging Institute of Cancer Research London UK
– name: 11 School of Biomedical Engineering and Imaging Sciences King's College London London UK
– name: 23 Lysholm Department of Neuroradiology, National Hospital for Neurology and Neurosurgery University College London Hospitals NHS Foundation Trust London UK
– name: 29 Department of Bioengineering Imperial College London London UK
– name: 20 Research Center of Medical Image Analysis and Artificial Intelligence Danube Private University Krems an der Donau Austria
– name: 42 Stanford Cardiovascular Institute Stanford University Stanford California USA
– name: 7 Institute of Biomedical Engineering, Department of Engineering Science University of Oxford Oxford UK
– name: 8 Department of Radiology & Nuclear Medicine Erasmus MC Rotterdam The Netherlands
– name: 21 Biomedical Data Science Laboratory, Instituto Universitario de Tecnologías de la Información y Comunicaciones Universitat Politècnica de València Valencia Spain
– name: 22 Centre for Medical Image Computing, Department of Computer Science University College London London UK
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  surname: Hangel
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  email: gilbert.hangel@meduniwien.ac.at
  organization: Medical University of Vienna
BackLink https://www.ncbi.nlm.nih.gov/pubmed/36866773$$D View this record in MEDLINE/PubMed
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Issue 6
Keywords preoperative
glioma
level of clinical validation
brain
contrasts
GliMR 2.0
Language English
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2023 The Authors. Journal of Magnetic Resonance Imaging published by Wiley Periodicals LLC on behalf of International Society for Magnetic Resonance in Medicine.
This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
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– reference: 37565507 - J Magn Reson Imaging. 2023 Aug 11;:
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Snippet Preoperative clinical magnetic resonance imaging (MRI) protocols for gliomas, brain tumors with dismal outcomes due to their infiltrative properties, still...
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StartPage 1655
SubjectTerms brain
Brain cancer
Brain Neoplasms - diagnostic imaging
Brain Neoplasms - pathology
Brain Neoplasms - surgery
Brain tumors
contrasts
Diffusion Magnetic Resonance Imaging
Fingerprinting
Genotypes
GliMR 2.0
Glioma
Glioma - diagnostic imaging
Glioma - pathology
Glioma - surgery
Humans
level of clinical validation
Magnetic resonance imaging
Magnetic Resonance Imaging - methods
Magnetic resonance spectroscopy
Magnetic Resonance Spectroscopy - methods
Medical imaging
Neuroimaging
Positron emission
Positron emission tomography
preoperative
Radiomics
Review
Reviews
Spin dynamics
Spin labeling
Tumors
Title Advanced MR Techniques for Preoperative Glioma Characterization: Part 1
URI https://onlinelibrary.wiley.com/doi/abs/10.1002%2Fjmri.28662
https://www.ncbi.nlm.nih.gov/pubmed/36866773
https://www.proquest.com/docview/2813962891
https://www.proquest.com/docview/2783497822
https://pubmed.ncbi.nlm.nih.gov/PMC10946498
Volume 57
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