Evidence map›Paper›PMID 31422518›Full record

SynthesisMagma (New York, N.Y.)2020

Phase-contrast magnetic resonance imaging to assess renal perfusion: a systematic review and statement paper.

Giulia Villa, Steffen Ringgaard, Ingo Hermann, Rebecca Noble, Paolo Brambilla, Dinah S Khatir, Frank G Zöllner, Susan T Francis, Nicholas M Selby, Andrea Remuzzi and 1 more

Erratum issuedOpen access · hybridAbstract readSystematic Review
In one paragraph

Synthesis in Magma (New York, N.Y.), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
3.1field-weighted citation impact, top 9% 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

29 citing papers in PubMed, 43 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Magnetic resonance imaging of renal oxygenation.Nature reviews. Nephrology · 2025
    Review
  9. MRI of kidney size matters.Magma (New York, N.Y.) · 2024
    Review
  10. Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Renal MRI: From Nephron to NMR Signal.Journal of magnetic resonance imaging : JMRI · 2023
    Review
  16. Article
  17. Review
  18. Review
  19. Review
  20. Comparison of axial and sagittal spinal cord motion measurements in degenerative cervical myelopathy.Journal of neuroimaging : official journal of the American Society of Neuroimaging · 2022
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors at 7 institutions in 4 countries.

Giulia VillaDepartment of Biomedical Engineering, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Bergamo, Italy.
Steffen RinggaardMR Center, Institute of Clinical Medicine, Aarhus University, Aarhus, Denmark.
Ingo HermannComputer Assisted Clinical Medicine, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany.
Rebecca NobleCentre for Kidney Research and Innovation, University of Nottingham, Royal Derby Hospital Campus, Nottingham, UK.
Paolo BrambillaDepartment of Diagnostic Radiology, Azienda Socio-Sanitaria Territoriale Papa Giovanni XXIII, Bergamo, Italy.
Dinah S KhatirDepartment of Renal Medicine, Aarhus University Hospital, Aarhus, Denmark.
Frank G ZöllnerComputer Assisted Clinical Medicine, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany.
Susan T FrancisSir Peter Mansfield Imaging Centre, School of Physics and Astronomy, University of Nottingham, Nottingham, UK.
Nicholas M SelbyCentre for Kidney Research and Innovation, University of Nottingham, Royal Derby Hospital Campus, Nottingham, UK.
Andrea RemuzziDepartment of Biomedical Engineering, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Bergamo, Italy.
Anna CaroliDepartment of Biomedical Engineering, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Bergamo, Italy. acaroli@marionegri.it.ORCID http://orcid.org/0000-0002-4130-4663
University of Nottingham · GBHeidelberg University · DEMario Negri Institute for Pharmacological Research · ITAarhus University · DKAarhus University Hospital · DKOspedale Papa Giovanni XXIII · ITUniversity of Bergamo · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivePhase-contrast magnetic resonance imaging (PC-MRI) is a non-invasive method used to compute blood flow velocity and volume. This systematic review aims to discuss the current status of renal PC-MRI and provide practical recommendations which could inform future clinical studies and its adoption in clinical practice. METHODOLOGY: A comprehensive search of all the PC-MRI studies in human healthy subjects or patients related to the kidneys was performed.

resultsA total of 39 studies were included in which PC-MRI was used to measure renal blood flow (RBF) alongside other derivative hemodynamic parameters. PC-MRI generally showed good correlation with gold standard methods of RBF measurement, both in vitro and in vivo, and good reproducibility. Despite PC-MRI not being routinely used in clinical practice, there are several clinical studies showing its potential to support diagnosis and monitoring of renal diseases, in particular renovascular disease, chronic kidney disease and autosomal dominant polycystic kidney disease. DISCUSSION: Renal PC-MRI shows promise as a non-invasive technique to reliably measure RBF, both in healthy volunteers and in patients with renal disease. Future multicentric studies are needed to provide definitive normative ranges and to demonstrate the clinical potential of PC-MRI, likely as part of a multi-parametric renal MRI protocol.

Indexed as

Magnetic Resonance ImagingAdultAgedBlood Flow VelocityContrast MediaFemaleHealthy VolunteersHumansKidneyMaleMiddle AgedPerfusionPolycystic Kidney DiseasesRenal Artery ObstructionRenal CirculationReproducibility of ResultsContrast MediaBiomarkerPhase-contrast MRIRenal blood flowRenal disease

Identifiers

PMID31422518
PMCPMC7210220
OpenAlexW2967303036

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.