PURPOSE: There is an annual incidence of 50,000 glioma cases in Europe. The optimal treatment strategy is highly personalised, depending on tumour type, grade, spatial localization, and the degree of tissue infiltration. In research settings, advanced magnetic resonance imaging (MRI) has shown great promise as a tool to inform personalised treatment decisions. However, the use of advanced MRI in clinical practice remains scarce due to the downstream effects of siloed glioma imaging research with limited representation of MRI specialists in established consortia; and the associated lack of available tools and expertise in clinical settings. These shortcomings delay the translation of scientific breakthroughs into novel treatment strategy. As a response we have developed the network "Glioma MR Imaging 2.0" (GliMR) which we present in this article. METHODS: GliMR aims to build a pan-European and multidisciplinary network of experts and accelerate the use of advanced MRI in glioma beyond the current "state-of-the-art" in glioma imaging. The Action Glioma MR Imaging 2.0 (GliMR) was granted funding by the European Cooperation in Science and Technology (COST) in June 2019. RESULTS: GliMR's first grant period ran from September 2019 to April 2020, during which several meetings were held and projects were initiated, such as reviewing the current knowledge on advanced MRI; developing a General Data Protection Regulation (GDPR) compliant consent form; and setting up the website. CONCLUSION: The Action overcomes the pre-existing limitations of glioma research and is funded until September 2023. New members will be accepted during its entire duration.

Centre for Clinical Brain Sciences and Edinburgh Imaging University of Edinburgh Edinburgh UK

Department of Engineering Science Institute of Biomedical Engineering University of Oxford Oxford UK

Department of Neurology University Hospital Centre Zagreb Zagreb Croatia

Department of Neuroradiology King's College Hospital NHS Foundation Trust London SE5 9RS UK

Department of Neurosurgery St Anne's University Hospital and Medical Faculty Masaryk University Brno Czech Republic

Department of Radiology Amsterdam University Medical Center VUmc Vrije Universiteit Amsterdam Amsterdam The Netherlands

Department of Radiology and Nuclear Medicine Erasmus MC Rotterdam The Netherlands

Department of Radiology C J Gorter Center for High Field MRI Leiden University Medical Center Leiden The Netherlands

Department of Radiology Faculty of Medicine Adnan Menderes University Aydın Turkey

Division of Radiology and Nuclear Medicine Department of Diagnostic Physics Oslo University Hospital Oslo Norway

Ghent Institute for Metabolic and Functional Imaging Ghent University Ghent Belgium

Inria Univ Rennes CNRS Inserm Rennes France

Institute for Systems and Robotics Lisboa and Department of Bioengineering Instituto Superior Técnico Universidade de Lisboa Lisbon Portugal

Institute of Radiopharmaceutical Cancer Research Helmholtz Zentrum Dresden Rossendorf Dresden Germany

School of Biomedical Engineering and Imaging Sciences King's College London St Thomas' Hospital London SE1 7EH UK

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Advanced MR Techniques for Preoperative Glioma Characterization: Part 2

Advanced MR Techniques for Preoperative Glioma Characterization: Part 1

A systematic review on the use of quantitative imaging to detect cancer therapy adverse effects in normal-appearing brain tissue