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Advanced MR Techniques for Preoperative Glioma Characterization: Part 2
G. Hangel, B. Schmitz-Abecassis, N. Sollmann, J. Pinto, F. Arzanforoosh, F. Barkhof, T. Booth, M. Calvo-Imirizaldu, G. Cassia, M. Chmelik, P. Clement, E. Ercan, MA. Fernández-Seara, J. Furtner, E. Fuster-Garcia, M. Grech-Sollars, NT. Guven, GH....
Language English Country United States
Document type Journal Article, Review, Research Support, Non-U.S. Gov't, Research Support, N.I.H., Extramural
Grant support
R01 CA264992
NCI NIH HHS - United States
U01 CA176110
NCI NIH HHS - United States
203148/A/16/Z
Wellcome Trust - United Kingdom
PubMed
36912262
DOI
10.1002/jmri.28663
Knihovny.cz E-resources
- MeSH
- Glioma * diagnostic imaging surgery pathology MeSH
- Contrast Media MeSH
- Humans MeSH
- Magnetic Resonance Spectroscopy methods MeSH
- Magnetic Resonance Imaging * methods MeSH
- Brain Neoplasms * diagnostic imaging surgery pathology MeSH
- Preoperative Period MeSH
- Check Tag
- Humans MeSH
- Publication type
- Journal Article MeSH
- Research Support, Non-U.S. Gov't MeSH
- Review MeSH
- Research Support, N.I.H., Extramural MeSH
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.
Brain Tumour Centre Erasmus MC Cancer Institute Rotterdam the Netherlands
Cancer Center Amsterdam Amsterdam Netherlands
Christian Doppler Laboratory for MR Imaging Biomarkers Vienna Austria
Department of Bioengineering Imperial College London London UK
Department of Biophysics Medical College of Wisconsin Milwaukee Wisconsin USA
Department of Diagnostic and Interventional Radiology University Hospital Ulm Ulm Germany
Department of Diagnostic Sciences Ghent University Ghent Belgium
Department of Imaging Physics Delft University of Technology Delft the Netherlands
Department of Medical Imaging Ghent University Hospital Ghent Belgium
Department of Neurology Haaglanden Medical Center Netherlands
Department of Neurology Leiden University Medical Center Leiden the Netherlands
Department of Neuroradiology Hospital Garcia de Orta Almada Portugal
Department of Neuroradiology King's College Hospital NHS Foundation Trust London UK
Department of Neurosurgery Medical University of Vienna Vienna Austria
Department of Neurosurgery St Anne's University Hospital Brno Czechia
Department of Physics and Computational Radiology Oslo University Hospital Oslo Norway
Department of Physics University of Oslo Oslo Norway
Department of Radiology and Nuclear Medicine Amsterdam UMC Vrije Universiteit Amsterdam Netherlands
Department of Radiology and Nuclear Medicine Erasmus MC Rotterdam Netherlands
Department of Radiology Clínica Universidad de Navarra Pamplona Spain
Department of Radiology Leiden University Medical Center Leiden the Netherlands
Department of Radiology Stanford University Stanford California USA
Department of Radiotherapy and Imaging Institute of Cancer Research UK
Electrical and Electronics Engineering Department Bogazici University Istanbul Istanbul Turkey
Faculty of Engineering and Design Atlantic Technological University Sligo Sligo Ireland
Faculty of Medicine Masaryk University Brno Czechia
IdiSNA Instituto de Investigación Sanitaria de Navarra Pamplona Spain
Institute of Biomedical Engineering Bogazici University Istanbul Istanbul Turkey
Institute of Biomedical Engineering Department of Engineering Science University of Oxford Oxford UK
Mathematical Modelling and Intelligent Systems for Health and Environment ATU Sligo Sligo Ireland
Medical Delta Foundation Delft the Netherlands
Medical Imaging Cluster Medical University of Vienna Vienna Austria
Rede D'Or São Luiz Hospital Santa Luzia Brazil
School of Biomedical Engineering and Imaging Sciences King's College London London UK
Stanford Cardiovascular Institute Stanford University Stanford California USA
TUM Neuroimaging Center Klinikum rechts der Isar Technical University of Munich Munich Germany
References provided by Crossref.org
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