AdvancedMRTechniques for Preoperative Glioma Characterization: Part 2

Author:

Hangel Gilbert1234ORCID,Schmitz‐Abecassis Bárbara56,Sollmann Nico789ORCID,Pinto Joana10,Arzanforoosh Fatemehsadat11,Barkhof Frederik1213,Booth Thomas1415,Calvo‐Imirizaldu Marta16ORCID,Cassia Guilherme17,Chmelik Marek18,Clement Patricia1920,Ercan Ece5,Fernández‐Seara Maria A.1621ORCID,Furtner Julia2223,Fuster‐Garcia Elies24ORCID,Grech‐Sollars Matthew2526ORCID,Guven N. Tugay27,Hatay Gokce Hale27,Karami Golestan14,Keil Vera C.1228,Kim Mina29,Koekkoek Johan A. F.3031,Kukran Simran3233,Mancini Laura2634ORCID,Nechifor Ruben Emanuel35ORCID,Özcan Alpay36ORCID,Ozturk‐Isik Esin27ORCID,Piskin Senol37,Schmainda Kathleen M.38,Svensson Siri F.3940ORCID,Tseng Chih‐Hsien641,Unnikrishnan Saritha4243,Vos Frans61141,Warnert Esther11ORCID,Zhao Moss Y.4445ORCID,Jancalek Radim4647ORCID,Nunes Teresa48,Hirschler Lydiane49,Smits Marion61150ORCID,Petr Jan51ORCID,Emblem Kyrre E.39

Affiliation:

1. Department of Neurosurgery Medical University of Vienna Vienna Austria

2. High Field MR Centre, Department of Biomedical Imaging and Image‐guided Therapy Medical University of Vienna Vienna Austria

3. Christian Doppler Laboratory for MR Imaging Biomarkers Vienna Austria

4. Medical Imaging Cluster Medical University of Vienna Vienna Austria

5. Department of Radiology Leiden University Medical Center Leiden the Netherlands

6. Medical Delta Foundation Delft the Netherlands

7. Department of Diagnostic and Interventional Radiology University Hospital Ulm Ulm Germany

8. Department of Diagnostic and Interventional Neuroradiology, School of Medicine, Klinikum rechts der Isar Technical University of Munich Munich Germany

9. TUM‐Neuroimaging Center, Klinikum rechts der Isar Technical University of Munich Munich Germany

10. Institute of Biomedical Engineering, Department of Engineering Science University of Oxford Oxford UK

11. Department of Radiology & Nuclear Medicine Erasmus MC Rotterdam Netherlands

12. Department of Radiology & Nuclear Medicine Amsterdam UMC, Vrije Universiteit Amsterdam Netherlands

13. Queen Square Institute of Neurology and Centre for Medical Image Computing University College London London UK

14. School of Biomedical Engineering and Imaging Sciences King's College London London UK

15. Department of Neuroradiology King's College Hospital NHS Foundation Trust London UK

16. Department of Radiology Clínica Universidad de Navarra Pamplona Spain

17. Rede D'Or São Luiz Hospital Santa Luzia Brazil

18. Department of Technical Disciplines in Medicine, Faculty of Health Care University of Prešov Prešov Slovakia

19. Department of Diagnostic Sciences Ghent University Ghent Belgium

20. Department of Medical Imaging Ghent University Hospital Ghent Belgium

21. IdiSNA, Instituto de Investigación Sanitaria de Navarra Pamplona Spain

22. Department of Biomedical Imaging and Image‐guided Therapy Medical University of Vienna Vienna Austria

23. Research Center of Medical Image Analysis and Artificial Intelligence Danube Private University Austria

24. Biomedical Data Science Laboratory, Instituto Universitario de Tecnologías de la Información y Comunicaciones Universitat Politècnica de València Valencia Spain

25. Centre for Medical Image Computing, Department of Computer Science University College London London UK

26. Lysholm Department of Neuroradiology, National Hospital for Neurology and Neurosurgery University College London Hospitals NHS Foundation Trust London UK

27. Institute of Biomedical Engineering Bogazici University Istanbul Istanbul Turkey

28. Cancer Center Amsterdam Amsterdam Netherlands

29. Centre for Medical Image Computing, Department of Medical Physics & Biomedical Engineering and Department of Neuroinflammation University College London London UK

30. Department of Neurology Leiden University Medical Center Leiden the Netherlands

31. Department of Neurology Haaglanden Medical Center Netherlands

32. Department of Bioengineering Imperial College London London UK

33. Department of Radiotherapy and Imaging Institute of Cancer Research UK

34. Department of Brain Repair and Rehabilitation, Institute of Neurology University College London London UK

35. Department of Clinical Psychology and Psychotherapy, International Institute for the Advanced Studies of Psychotherapy and Applied Mental Health Babes‐Bolyai University Romania

36. Electrical and Electronics Engineering Department Bogazici University Istanbul Istanbul Turkey

37. Department of Mechanical Engineering, Faculty of Natural Sciences and Engineering Istinye University Istanbul Istanbul Turkey

38. Department of Biophysics Medical College of Wisconsin Milwaukee Wisconsin USA

39. Department of Physics and Computational Radiology Oslo University Hospital Oslo Norway

40. Department of Physics University of Oslo Oslo Norway

41. Department of Imaging Physics Delft University of Technology Delft the Netherlands

42. Faculty of Engineering and Design Atlantic Technological University (ATU) Sligo Sligo Ireland

43. Mathematical Modelling and Intelligent Systems for Health and Environment (MISHE), ATU Sligo Sligo Ireland

44. Department of Radiology Stanford University Stanford California USA

45. Stanford Cardiovascular Institute Stanford University Stanford California USA

46. Department of Neurosurgery St. Anne's University Hospital Brno Czechia

47. Faculty of Medicine Masaryk University Brno Czechia

48. Department of Neuroradiology Hospital Garcia de Orta Almada Portugal

49. C.J. Gorter MRI Center, Department of Radiology Leiden University Medical Center Leiden the Netherlands

50. Brain Tumour Centre Erasmus MC Cancer Institute Rotterdam the Netherlands

51. Helmholtz‐Zentrum Dresden‐Rossendorf Institute of Radiopharmaceutical Cancer Research Dresden Germany

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 Level3.Technical EfficacyStage 2.

Funder

Spanish State Research Agency

American Heart Association

Austrian Science Fund

Center for Scientific Review

European Cooperation in Science and Technology

H2020 European Research Council

Ministry of Science and Innovation

Nederlandse Organisatie voor Wetenschappelijk Onderzoek

Türkiye Bilimsel ve Teknolojik Araştirma Kurumu

Wellcome Trust

Publisher

Wiley

Subject

Radiology, Nuclear Medicine and imaging

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