Year: 2023
Type: review
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.
DOI: 10.1002/jmri.28663
Authors: Gilbert Hangel, Bárbara 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
Institutions: Medical University of Vienna, Leiden University Medical Center, Medical Delta, TUM Klinikum, University Hospital Ulm, Technical University of Munich, University of Oxford, Erasmus MC, Amsterdam University Medical Centers, UCL Queen Square Institute of Neurology, University College London, Vrije Universiteit Amsterdam, King's College London, King's College Hospital NHS Foundation Trust, King's College Hospital, Clinica Universidad de Navarra, Hospital Santa Luzia, University of Prešov, Ghent University Hospital, Ghent University, Navarre Institute of Health Research, Danube Private University, Universitat Politècnica de València, University College London Hospitals NHS Foundation Trust, National Hospital for Neurology and Neurosurgery, Boğaziçi University, Cancer Center Amsterdam, Medisch Centrum Haaglanden, Stichting Haaglanden Medisch Centrum, Institute of Cancer Research, Cancer Research UK, Imperial College London, Babeș-Bolyai University, Istinye University, Medical College of Wisconsin, Oslo University Hospital, University of Oslo, Delft University of Technology, Atlantic Technological University, Stanford Medicine, Stanford Cardiovascular Institute, Stanford University, Masaryk University, St. Anne's University Hospital Brno, Hospital Garcia de Orta, Erasmus MC Cancer Institute, Helmholtz-Zentrum Dresden-Rossendorf
Language: English
Subfield: Genetics
Field: Medicine
Domain: Health Sciences
Open Access status: hybrid
Estimated APC paid: $3,500
Funders: American Heart Association, Wellcome Trust, Multiple Sclerosis Society, European Commission, European Cooperation in Science and Technology, Brain Tumour Charity, Austrian Science Fund, Universität Wien, Nederlandse Organisatie voor Wetenschappelijk Onderzoek, Türkiye Bilimsel ve Teknolojik Araştırma Kurumu, Ministerio de Ciencia e Innovación, Norges Forskningsråd, Medizinische Universität Wien, National Institutes of Health, Medical Research Council, Helse Sør-Øst RHF, Agencia Estatal de Investigación, National Cancer Institute, Center for Scientific Review, H2020 European Research Council
Awards: G1099328184, G1145426982, G1461313386, G2057291866, G2202127467, G2321864179, G2373700035, Quantitative (Perfusion and Diffusion) MRI Biomarkers to Measure Glioma Response, G2996023772, G3015188539, G3492638052, Imaging Perfusion Restrictions from Extracellular Solid Stress, G431950211, G434337789, G4921048066, G5078342886, G5248343401, G5731162139, King's College London Medical Engineering Centre of Research Excellence, G6347004608, QTIME - Quantitative metabolic 7T imaging of tumours, G6520654349, 3D 2HG mapping as biomarker for IDH-mutation in glioma, G7387888018, G7434936867, G7868402493, G801341825, G830965718, Clinical Translation of a Non-invasive Brain Stress Test to Predict Stroke, G8406153277, Establishing the clinical utility of a consensus DSC-MRI Protocol, Wellcome EPSRC Centre for Medical Engineering – Extension
OpenAlex ID: W4324019023