Advanced MR Techniques for Preoperative Glioma Characterization: Part 1

Author:

Hirschler Lydiane1,Sollmann Nico234ORCID,Schmitz‐Abecassis Bárbara56,Pinto Joana7,Arzanforoosh Fatemehsadat8,Barkhof Frederik910,Booth Thomas1112,Calvo‐Imirizaldu Marta13ORCID,Cassia Guilherme14,Chmelik Marek15,Clement Patricia1617,Ercan Ece5,Fernández‐Seara Maria A.1318ORCID,Furtner Julia1920,Fuster‐Garcia Elies21ORCID,Grech‐Sollars Matthew2223ORCID,Guven Nazmiye Tugay24,Hatay Gokce Hale24,Karami Golestan11,Keil Vera C.925,Kim Mina26,Koekkoek Johan A. F.2728,Kukran Simran2930,Mancini Laura2331ORCID,Nechifor Ruben Emanuel32ORCID,Özcan Alpay33ORCID,Ozturk‐Isik Esin24ORCID,Piskin Senol34,Schmainda Kathleen35,Svensson Siri F.3637ORCID,Tseng Chih‐Hsien638,Unnikrishnan Saritha3940,Vos Frans6838,Warnert Esther8ORCID,Zhao Moss Y.4142ORCID,Jancalek Radim4344ORCID,Nunes Teresa45,Emblem Kyrre E.36,Smits Marion7846ORCID,Petr Jan47ORCID,Hangel Gilbert48495051ORCID

Affiliation:

1. C.J. Gorter MRI Center, Department of Radiology Leiden University Medical Center Leiden The Netherlands

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

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

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

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

6. Medical Delta Foundation Delft The Netherlands

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

8. Department of Radiology & Nuclear Medicine Erasmus MC Rotterdam The Netherlands

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

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

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

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

13. Department of Radiology Clínica Universidad de Navarra Pamplona Spain

14. Hospital Santa Luzia Rede D'Or São Luiz Brasília Brazil

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

16. Department of Diagnostic Sciences Ghent University Ghent Belgium

17. Department of Medical Imaging Ghent University Hospital Ghent Belgium

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

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

20. Research Center of Medical Image Analysis and Artificial Intelligence Danube Private University Krems an der Donau Austria

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

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

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

24. Institute of Biomedical Engineering Bogazici University Istanbul Istanbul Turkey

25. Cancer Center Amsterdam Amsterdam The Netherlands

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

27. Department of Neurology Leiden University Medical Center Leiden The Netherlands

28. Department of Neurology Haaglanden Medical Center The Hague The Netherlands

29. Department of Bioengineering Imperial College London London UK

30. Department of Radiotherapy and Imaging Institute of Cancer Research London UK

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

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

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

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

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

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

37. Department of Physics University of Oslo Oslo Norway

38. Department of Imaging Physics Delft University of Technology Delft The Netherlands

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

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

41. Department of Radiology Stanford University Stanford California USA

42. Stanford Cardiovascular Institute Stanford University Stanford California USA

43. Department of Neurosurgery St. Anne's University Hospital, Brno Brno Czech Republic

44. Faculty of Medicine, Masaryk University Brno Czech Republic

45. Department of Neuroradiology Hospital Garcia de Orta Almada Portugal

46. Brain Tumour Centre Erasmus MC Cancer Institute Rotterdam The Netherlands

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

48. Department of Neurosurgery Medical University of Vienna Vienna Austria

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

50. Christian Doppler Laboratory for MR Imaging Biomarkers Vienna Austria

51. Medical Imaging Cluster Medical University of Vienna Vienna Austria

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

Funder

Spanish State Research Agency

American Heart Association

Austrian Science Fund

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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