Evidence map›Paper›PMID 33140551›Full record

ArticleJournal of magnetic resonance imaging : JMRI2022

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

Anneloes de Boer, Giulia Villa, Octavia Bane, Michael Bock, Eleanor F Cox, Ilona A Dekkers, Per Eckerbom, Maria A Fernández-Seara, Susan T Francis, Bryan Haddock and 18 more

Open access · hybridAbstract readConsensus Statement
In one paragraph

Article in Journal of magnetic resonance imaging : JMRI, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
2.7field-weighted citation impact, top 8% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

23 citing papers in PubMed, 31 citations in OpenAlex.

  1. Trial
  2. Article
  3. Observational
  4. Article
  5. Article
  6. Review
  7. Article
  8. Review
  9. Magnetic resonance imaging of renal oxygenation.Nature reviews. Nephrology · 2025
    Review
  10. Color-map recommendation for MR relaxometry maps.Magnetic resonance in medicine · 2025
    Article
  11. Assessment of Acute Kidney Injury using MRI.Journal of magnetic resonance imaging : JMRI · 2025
    Review
  12. Article
  13. Review
  14. MRI of kidney size matters.Magma (New York, N.Y.) · 2024
    Review
  15. Review
  16. Article
  17. Renal MRI: From Nephron to NMR Signal.Journal of magnetic resonance imaging : JMRI · 2023
    Review
  18. Review
  19. Review
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

28 authors at 20 institutions in 11 countries.

Anneloes de BoerDepartment of Radiology, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands.ORCID 0000-0001-8096-6961
Giulia VillaDepartment of Bioengineering, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Bergamo, Italy.ORCID 0000-0003-1120-9638
Octavia BaneBiomedical Engineering and Imaging Institute/Radiology, Icahn School of Medicine at Mount Sinai, New York, New York, USA.ORCID 0000-0003-1315-5848
Michael BockDepartment of Radiology - Medical Physics, Medical Center, University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany.ORCID 0000-0001-9720-3506
Eleanor F CoxSir Peter Mansfield Imaging Centre, School of Physics and Astronomy, University of Nottingham, Nottingham, UK.
Ilona A DekkersDepartment of Radiology, Leiden University Medical Center, Leiden, The Netherlands.ORCID 0000-0002-3329-0660
Per EckerbomDepartment of Surgical Sciences, Uppsala University, Uppsala, Sweden.
Maria A Fernández-SearaDepartment of Radiology, Clínica Universidad de Navarra, Pamplona, Spain.ORCID 0000-0001-8536-6295
Susan T FrancisSir Peter Mansfield Imaging Centre, School of Physics and Astronomy, University of Nottingham, Nottingham, UK.
Bryan HaddockDepartment of Clinical Physiology, Nuclear Medicine and PET, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark.ORCID 0000-0002-9721-4712
Michael E HallDepartment of Medicine, University of Mississippi Medical Center, Jackson, Mississippi, USA.
Pauline Hall BarrientosDepartment of Clinical Physics and Bioengineering, NHS Greater Glasgow and Clyde, Glasgow, UK.ORCID 0000-0002-1563-233X
Ingo HermannComputer Assisted Clinical Medicine, Mannheim Institute for Intelligent Systems in Medicine, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany.ORCID 0000-0002-6379-5299
Paul D HockingsAntaros Medical, BioVenture Hub, Mölndal, Sweden.ORCID 0000-0002-7154-9047
Hildo J LambDepartment of Radiology, Leiden University Medical Center, Leiden, The Netherlands.
Christoffer LaustsenDepartment of Clinical Medicine, MR Research Centre, Aarhus University, Aarhus, Denmark.ORCID 0000-0002-0317-2911
Ruth P LimDepartments of Radiology, Surgery and Medicine, The University of Melbourne, Parkville, Victoria, Australia.ORCID 0000-0002-2842-5997
David M MorrisCentre for Inflammation Research, University of Edinburgh, Edinburgh Bioquarter, Edinburgh, UK.
Steffen RinggaardDepartment of Clinical Medicine, MR Research Centre, Aarhus University, Aarhus, Denmark.ORCID 0000-0001-5353-7379
Suraj D SeraiDepartment of Radiology, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA.ORCID 0000-0002-8821-0971
Kanishka SharmaDepartment of Imaging, Infection, Immunity and Cardiovascular Disease, The University of Sheffield, Sheffield, UK.ORCID 0000-0002-0693-1071
Steven SourbronDepartment of Imaging, Infection, Immunity and Cardiovascular Disease, The University of Sheffield, Sheffield, UK.ORCID 0000-0002-3374-3973
Yasuo TakeharaDepartment of Fundamental Development for Advanced Low Invasive Diagnostic Imaging, Nagoya University, Graduate School of Medicine, Nagoya, Japan.ORCID 0000-0003-4739-5997
Andrew L WentlandDepartment of Radiology, Stanford University, Stanford, California, USA.ORCID 0000-0003-1736-8218
Marcos WolfHigh Field MR Center, Center for Medical Physics and Biomedical Engineering, Medical University of Vienna, Vienna, Austria.
Frank G ZöllnerComputer Assisted Clinical Medicine, Mannheim Institute for Intelligent Systems in Medicine, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany.ORCID 0000-0003-3405-1394
Fabio NeryDevelopmental Imaging and Biophysics Section, UCL Great Ormond Street Institute of Child Health, London, UK.ORCID 0000-0002-4220-0997
Anna CaroliDepartment of Bioengineering, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Bergamo, Italy.ORCID 0000-0002-4130-4663
Aarhus University · DKHeidelberg University · DELeiden University Medical Center · NLMario Negri Institute for Pharmacological Research · ITUniversity of Nottingham · GBUniversity of Sheffield · GBAntaros Medical (Sweden) · SECentre for Inflammation Research · GBChildren's Hospital of Philadelphia · USClinica Universidad de Navarra · ESCopenhagen University Hospital · DKGreat Ormond Street Hospital · GBIcahn School of Medicine at Mount Sinai · USMedical University of Vienna · ATNagoya University · JPNHS Greater Glasgow and Clyde · GBStanford University · USThe University of Melbourne · AUUniversity of Freiburg · DEUniversity of Mississippi Medical Center · US

Funding

Tracking and Evaluation CoreU54GM115428 · NIGMS · UNIVERSITY OF MISSISSIPPI MED CTR · PI GRANGER, JOEY P. · 2016 to 2025
$38.2M
Prediction of portal pressure with liver and spleen MR Elastography and 4D flow phase-contrast MRIR01DK113272 · NIDDK · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI TAOULI, BACHIR · 2018 to 2021
$2.0M
Renal Sinus Fat, Hypertension, and Altered Kidney FunctionK08DK099415 · NIDDK · UNIVERSITY OF MISSISSIPPI MED CTR · PI HALL, MICHAEL EDWARD · 2015 to 2019
$791k
Quantification of Renal Perfusion, Diffusion and Hypoxia Using Advanced MRI Methods for Assessment of Renal Transplant DysfunctionF32DK109591 · NIDDK · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI BANE, OCTAVIA · 2016 to 2018
$126k
Austrian Science Fund FWF KLI 736Medical Research Council MR/R02264X/1NIDDK NIH HHS F32 DK109591NIDDK NIH HHS K08 DK099415NIDDK NIH HHS R01 DK113272NIGMS NIH HHS U54 GM115428
6 · The paper itself

Abstract

backgroundPhase-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.

resultsAmong 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

conclusionThese 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.

Indexed as

KidneyMagnetic Resonance ImagingConsensusDelphi TechniqueHumansMulticenter Studies as TopicRenal CirculationSystematic Reviews as Topicconsensuskidneyphase-contrast MRIrenal blood flowstandardization

Identifiers

PMID33140551
PMCPMC9291014
OpenAlexW3094712466

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.