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Title: | Consensus-Based Technical Recommendations for Clinical Translation of Renal Phase Contrast MRI. | Austin Authors: | de Boer, Anneloes;Villa, Giulia;Bane, Octavia;Bock, Michael;Cox, Eleanor F;Dekkers, Ilona A;Eckerbom, Per;Fernández-Seara, Maria A;Francis, Susan T;Haddock, Bryan;Hall, Michael E;Hall Barrientos, Pauline;Hermann, Ingo;Hockings, Paul D;Lamb, Hildo J;Laustsen, Christoffer;Lim, Ruth P ;Morris, David M;Ringgaard, Steffen;Serai, Suraj D;Sharma, Kanishka;Sourbron, Steven;Takehara, Yasuo;Wentland, Andrew L;Wolf, Marcos;Zöllner, Frank G;Nery, Fabio;Caroli, Anna | Affiliation: | Department of Radiology, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands Department of Radiology, Austin Health, Heidelberg, Victoria, Australia Department of Bioengineering, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Bergamo, Italy Departments of Radiology, Surgery and Medicine, The University of Melbourne, Parkville, Victoria, Australia Biomedical Engineering and Imaging Institute/Radiology, Icahn School of Medicine at Mount Sinai, New York, New York, USA Department of Radiology - Medical Physics, Medical Center, University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany Sir Peter Mansfield Imaging Centre, School of Physics and Astronomy, University of Nottingham, Nottingham, UK Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands Department of Surgical Sciences, Uppsala University, Uppsala, Sweden Department of Radiology, Clínica Universidad de Navarra, Pamplona, Spain Sir Peter Mansfield Imaging Centre, School of Physics and Astronomy, University of Nottingham, Nottingham, UK Department of Clinical Physiology, Nuclear Medicine and PET, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark Department of Medicine, University of Mississippi Medical Center, Jackson, Mississippi, USA Department of Clinical Physics and Bioengineering, NHS Greater Glasgow and Clyde, Glasgow, UK Computer Assisted Clinical Medicine, Mannheim Institute for Intelligent Systems in Medicine, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany Antaros Medical, BioVenture Hub, Mölndal, Sweden Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands Department of Clinical Medicine, MR Research Centre, Aarhus University, Aarhus, Denmark Centre for Inflammation Research, University of Edinburgh, Edinburgh Bioquarter, Edinburgh, UK Department of Clinical Medicine, MR Research Centre, Aarhus University, Aarhus, Denmark Department of Radiology, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA Department of Imaging, Infection, Immunity and Cardiovascular Disease, The University of Sheffield, Sheffield, UK Department of Fundamental Development for Advanced Low Invasive Diagnostic Imaging, Nagoya University, Graduate School of Medicine, Nagoya, Japan Department of Radiology, Stanford University, Stanford, California, USA High Field MR Center, Center for Medical Physics and Biomedical Engineering, Medical University of Vienna, Vienna, Austria Computer Assisted Clinical Medicine, Mannheim Institute for Intelligent Systems in Medicine, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany Developmental Imaging and Biophysics Section, UCL Great Ormond Street Institute of Child Health, London, UK Department of Bioengineering, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Bergamo, Italy |
Issue Date: | 2022 | Date: | 2020-11-02 | Publication information: | Journal of magnetic resonance imaging : JMRI 2022; 55(2): 323-335 | Abstract: | Phase-contrast (PC) MRI is a feasible and valid noninvasive technique to measure renal artery blood flow, showing potential to support diagnosis and monitoring of renal diseases. However, the variability in measured renal blood flow values across studies is large, most likely due to differences in PC-MRI acquisition and processing. Standardized acquisition and processing protocols are therefore needed to minimize this variability and maximize the potential of renal PC-MRI as a clinically useful tool. To build technical recommendations for the acquisition, processing, and analysis of renal 2D PC-MRI data in human subjects to promote standardization of renal blood flow measurements and facilitate the comparability of results across scanners and in multicenter clinical studies. Systematic consensus process using a modified Delphi method. Not applicable. Renal fast gradient echo-based 2D PC-MRI. An international panel of 27 experts from Europe, the USA, Australia, and Japan with 6 (interquartile range 4-10) years of experience in 2D PC-MRI formulated consensus statements on renal 2D PC-MRI in two rounds of surveys. Starting from a recently published systematic review article, literature-based and data-driven statements regarding patient preparation, hardware, acquisition protocol, analysis steps, and data reporting were formulated. Consensus was defined as ≥75% unanimity in response, and a clear preference was defined as 60-74% agreement among the experts. Among 60 statements, 57 (95%) achieved consensus after the second-round survey, while the remaining three showed a clear preference. Consensus statements resulted in specific recommendations for subject preparation, 2D renal PC-MRI data acquisition, processing, and reporting. These recommendations might promote a widespread adoption of renal PC-MRI, and may help foster the set-up of multicenter studies aimed at defining reference values and building larger and more definitive evidence, and will facilitate clinical translation of PC-MRI. 1 TECHNICAL EFFICACY STAGE: 1. | URI: | https://ahro.austin.org.au/austinjspui/handle/1/25263 | DOI: | 10.1002/jmri.27419 | ORCID: | 0000-0001-8096-6961 0000-0003-1120-9638 0000-0003-1315-5848 0000-0001-9720-3506 0000-0002-3329-0660 0000-0001-8536-6295 0000-0002-9721-4712 0000-0002-1563-233X 0000-0002-6379-5299 0000-0002-7154-9047 0000-0002-0317-2911 0000-0002-2842-5997 0000-0001-5353-7379 0000-0002-8821-0971 0000-0002-0693-1071 0000-0002-3374-3973 0000-0003-4739-5997 0000-0003-1736-8218 0000-0003-3405-1394 0000-0002-4220-0997 0000-0002-4130-4663 |
Journal: | Journal of Magnetic Resonance Imaging : JMRI | PubMed URL: | 33140551 | Type: | Journal Article | Subjects: | consensus kidney phase-contrast MRI renal blood flow standardization |
Appears in Collections: | Journal articles |
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