Abstract #2747
Technical recommendations for renal DCE-MRI: Preliminary results from the consensus project of the ISMRM Renal MR study group
Ebony R. Gunwhy1, Sila Kurugol2,3, Ruth P. Lim4,5, Jeff L. Zhang6, Richard A. Jones7, Frank G. Zöllner8,9, Hayley M. Reynolds10, Mohamed Abou El-Ghar11, Kai T. Block12, Michael L. Pedersen13,14, Paul D. Hockings15,16, Andrew Wentland17, David L. Buckley18, Luis C. Sanmiguel Serpa19,20,21, Iosif A. Mendichovszky22,23, Suraj Serai24,25, Steven Sourbron1, and Ilona A Dekkers26
1Division of Clinical Medicine, School of Medicine and Population Health, University of Sheffield, Sheffield, United Kingdom, 2Computational Radiology Laboratory, Department of Radiology, Boston Children's Hospital, Boston, MA, United States, 3Department of Radiology, Harvard Medical School, Boston, MA, United States, 4Department of Radiology and Surgery (Austin), Faculty of Medicine, Dentistry and Health Science, The University of Melbourne, Carlton, Australia, 5Department of Radiology, Austin Health, Heidelberg, Australia, 6School of Biomedical Engineering, ShanghaiTech University, Shanghai, China, 7Department of Radiology, Children's Healthcare of Atlanta, Atlanta, GA, United States, 8Mannheim Institute for Intelligent System, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany, 9Computer Assisted Clinical Medicine, Mannheim, Germany, 10Auckland Bioengineering Institute, The University of Auckland, Auckland, New Zealand, 11Radiology Department, Urology and Nephrology Center, Mansoura University, Mansoura, Egypt, 12Bernard and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, New York University Grossman School of Medicine, New York, NY, United States, 13Comparative Medicine Lab, Department of Clinical Medicine, Aarhus University, Aarhus, Denmark, 14Radiology Research Unit, Department of Clinical Medicine, Odense University Hospital, Odense, Denmark, 15MedTech West, Chalmers University of Technology, Gothenburg, Sweden, 16Antaros Medical, BioVenture Hub, Mölndal, Sweden, 17Department of Radiology, University of Wisconsin, Madison, WI, United States, 18Biomedical Imaging, University of Leeds, Leeds, United Kingdom, 19Department of Radiology, Ghent University Hospital, Ghent, Belgium, 20Department of Diagnostic Sciences, Faculty of Medicine and Health Sciences, Ghent University, Ghent, Belgium, 21Ghent Institute of Functional and Metabolic Imaging (GIFMI), Ghent University, Ghent, Belgium, 22Department of Nuclear Medicine, Cambridge University Hospitals NHS Foundation Trust, Cambridge, United Kingdom, 23Department of Radiology, University of Cambridge, Cambridge, United Kingdom, 24Core Radiology Research Group, Department of Radiology, Children's Hospital of Philadelphia, Philadelphia, PA, United States, 25Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States, 26Department of Radiology, Leiden University Medical Center, Leiden, Netherlands
Synopsis
Keywords: Kidney, DSC & DCE Perfusion, kidney, renal blood flow, standardisation, consensus
Motivation: Clinical translation of renal functional and quantitative MRI is hindered by a lack in standardisation of scan protocols.
Goal(s): To develop expert consensus-based technical recommendations on the acquisition and post-processing of renal DCE-MRI.
Approach: Experts were recruited and surveyed following the Delphi method to create consensus-based technical recommendations in renal DCE-MRI. Preliminary results will be used to construct the second survey round.
Results: 16 experts responded to the preliminary survey. Consensus statements informed by the responses were drafted and will be circulated and refined in the next phase of the project.
Impact: The insights obtained from this work will be invaluable in delivering recommendations that are comprehensive and widely accepted. Consensus-based technical recommendations for renal DCE-MRI aim to contribute to harmonisation of MRI scan protocols across sites, facilitating clinical translation.
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