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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