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Abstract #2635

Consensus-based technical recommendations for clinical translation of renal MRI

Fabio Nery1, Iosif Mendichovszky2, Pim Pullens3, Ilona Dekkers4, Octavia Bane5, Andreas Pohlmann6, Anneloes de Boer7, Alexandra Ljimani8, Aghogho Odudu9, Charlotte Buchanan10, Kanishka Sharma11, Christoffer Laustsen12, Anita Harteveld7, Xavier Golay13, Ivan Pedrosa14, David Alsop15, Sean Fain16, Anna Caroli17, Pottumarthi Prasad18, Susan Francis10, Eric Sigmund19, Maria Fernández‐Seara20, and Steven Sourbron21
1Developmental Imaging and Biophysics Section, UCL Great Ormond Street Institute of Child Health, London, UK, London, United Kingdom, 2Department of Radiology, Addenbrooke’s Hospital, Cambridge University Hospitals NHS Foundation Trust, Cambridge, United Kingdom, 3Department of Radiology, Ghent University Hospital and Ghent Institute for Functional and Metabolic Imaging, Ghent University, Ghent, Belgium, 4Department of Radiology, Leiden University Medical Center, Leiden, Netherlands, 5Translational and Molecular Imaging Institute and Department of Radiology, Icahn School of Medicine at Mount Sinai, New York, NY, United States, 6Berlin Ultrahigh Field Facility, Max Delbrueck Center for Molecular Medicine in the Helmholtz Association, Berlin, Germany, 7Department of Radiology, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands, 8Department of Diagnostic and Interventional Radiology, Medical Faculty, University Dusseldorf, 40225, Dusseldorf, Germany, 9Division of Cardiovascular Sciences, School of Medical Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, United Kingdom, 10Sir Peter Mansfield Imaging Centre, University of Nottingham, University Park, Nottingham, United Kingdom, 11Imaging Biomarkers Group, Department of Biomedical, Imaging Sciences, University of Leeds, Leeds, United Kingdom, 12Department of Clinical Medicine, MR Research Centre, Aarhus University, Aarhus, Denmark, 13Brain Repair and Rehabilitation, Institute of Neurology, University College London, London, United Kingdom, 14Department of Radiology, Advanced Imaging Research Center, University of Texas Southwestern Medical Center, Dallas, TX, United States, 15Department of Radiology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, United States, 16Departments of Biomedical Engineering, Radiology, and Medical Physics, University of Wisconsin, Madison, WI, United States, 17Department of Biomedical Engineering, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Bergamo, Italy, 18Department of Radiology, Center for Advanced MR Research, NorthShore University Health System, Evanston, IL, United States, 19Department of Radiology, Center for Biomedical Imaging (CBI), Center for Advanced Imaging Innovation and Research (CAI2R), NYU Langone Health, New York, NY, United States, 20Department of Radiology, Clínica Universidad de Navarra, Pamplona, Spain, 21Department of Infection, Immunity and Cardiovascular Disease, University of Sheffield, Sheffield, United Kingdom

The field of renal MRI has undergone significant developments over the last decade. However, the lack of standardisation of acquisition and analysis methods remains an important barrier to clinical translation. We present a consensus project initiated through the Cooperation in Science and Technology (COST) Action PARENCHIMA whereby a group of renal MRI experts employed a Delphi-based approach to develop technical recommendations for renal T1 and T2 mapping, arterial spin labelling, diffusion-weighted imaging and blood oxygenation level-dependent MRI. These will promote standardisation of renal MRI protocols and thus facilitate clinical translation and comparison of data across sites.

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