Consensus-Based Technical Recommendations for Clinical Translation of Renal Phase Contrast MRI

Research output: Contribution to journal/Conference contribution in journal/Contribution to newspaperJournal articleResearchpeer-review

DOI

  • Anneloes de Boer, Univ Utrecht, Utrecht University, Utrecht University Medical Center, UMC Utrecht, Dept Hematol
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  • Giulia Villa, Italy.
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  • Octavia Bane, BioMedical Engineering and Imaging Institute and Department of Radiology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
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  • Michael Bock, University of Freiburg/Universtiy Children's Hospital Freiburg, Freiburg, Germany.
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  • Eleanor F Cox, Nottingham Digestive Diseases Centre, School of Medicine, University of Nottingham, Nottingham, UK; NIHR Nottingham Biomedical Research Centre at the Nottingham University Hospitals NHS Trust and University of Nottingham, Nottingham, UK.
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  • Ilona A Dekkers, Department of Surgery, Leiden University Medical Center, Leiden, The Netherlands; Department of Gerontology and Geriatrics, Leiden University Medical Center, Leiden, The Netherlands.
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  • Per Eckerbom, Uppsala University and Uppsala Clinical Research Center, Uppsala University, Sweden.
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  • Maria A Fernández-Seara, Liver Unit, Hospital Clínic de Barcelona, University de Barcelona, Barcelona, Spain; University of Barcelona, Barcelona, Spain; Institut d'Investigacions Biomediques August Pi I Sunyer (IDIBAPS), Barcelona, Spain; Centro d'Investigación Biomédica en Red Enfermedades Hepáticas y Digestivas (CIBEReHD), Barcelona, Spain.
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  • Susan T Francis, Nottingham Digestive Diseases Centre, School of Medicine, University of Nottingham, Nottingham, UK; NIHR Nottingham Biomedical Research Centre at the Nottingham University Hospitals NHS Trust and University of Nottingham, Nottingham, UK.
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  • Bryan Haddock, Department of Clinical Physiology and Nuclear Medicine and PET
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  • Michael E Hall, Univ Mississippi, University of Mississippi Medical Center, University of Mississippi, Med Ctr, Dept Data Sci
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  • Pauline Hall Barrientos, UK acrodysostosis patients' group, London, UK.
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  • Ingo Hermann, Heidelberg Ion Beam Therapy Center (HIT), Heidelberg University Hospital, Heidelberg
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  • Paul D Hockings, Novartis Sweden AB, Stockholm, Sweden.
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  • Hildo J Lamb, Department of Surgery, Leiden University Medical Center, Leiden, The Netherlands; Department of Gerontology and Geriatrics, Leiden University Medical Center, Leiden, The Netherlands.
  • ,
  • Christoffer Laustsen
  • Ruth P Lim, The Peter Doherty Institute for Infection and Immunity, The University of Melbourne and Royal Melbourne Hospital, Melbourne, Victoria, 3000, Australia.
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  • David M Morris, Edinburgh University, Edinburgh
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  • Steffen Ringgaard
  • Suraj D Serai, Avellino Labs USA, Menlo Park, USA.
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  • Kanishka Sharma, The University of Sheffield
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  • Steven Sourbron, The University of Sheffield
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  • Yasuo Takehara, Dept. of Applied Physics, Nagoya University, Nagoya
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  • Andrew L Wentland, Department of Pediatrics, Stanford University, Stanford, CA 94305, USA; Department of Developmental Biology, Stanford University, Stanford, CA 94305, USA; Department of Computer Science, Stanford University, Stanford, CA 94305, USA.
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  • Marcos Wolf, Medical University Vienna, Vienna
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  • Frank G Zöllner, Heidelberg Ion Beam Therapy Center (HIT), Heidelberg University Hospital, Heidelberg
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  • Fabio Nery, UCL Great Ormond Street Institute of Child Health
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  • Anna Caroli, Italy.

BACKGROUND: 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.

PURPOSE: 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.

STUDY TYPE: Systematic consensus process using a modified Delphi method.

POPULATION: Not applicable.

SEQUENCE FIELD/STRENGTH: Renal fast gradient echo-based 2D PC-MRI.

ASSESSMENT: 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.

STATISTICAL TESTS: Consensus was defined as ≥75% unanimity in response, and a clear preference was defined as 60-74% agreement among the experts.

RESULTS: 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.

DATA CONCLUSION: 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.

LEVEL OF EVIDENCE: 1 TECHNICAL EFFICACY STAGE: 1.

Original languageEnglish
JournalJournal of Magnetic Resonance Imaging
ISSN1053-1807
DOIs
Publication statusE-pub ahead of print - 2 Nov 2020

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