Evidence map›Paper›PMID 29303965›Full record

ReviewDiagnostics (Basel, Switzerland)2018

Non-Invasive Renal Perfusion Imaging Using Arterial Spin Labeling MRI: Challenges and Opportunities.

Fabio Nery, Isky Gordon, David L Thomas

Open access · goldAbstract readReview
In one paragraph

Review in Diagnostics (Basel, Switzerland), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 1 pooled it
5.9field-weighted citation impact, top 3% 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

28 citing papers in PubMed, 1 synthesis or guideline pooled it, 52 citations in OpenAlex.

  1. Arterial spin labelling MRI to measure renal perfusion: a systematic review and statement paper.Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association · 2018
    Pooled it
  2. Article
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  6. Renal MRI: From Nephron to NMR Signal.Journal of magnetic resonance imaging : JMRI · 2023
    Review
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  17. HyperpolarizedDiagnostics (Basel, Switzerland) · 2020
    Article
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  19. Review
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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

3 authors at 1 institution in 1 country.

Fabio NeryDevelopmental Imaging & Biophysics Section, University College London Great Ormond Street Institute of Child Health, London WC1N 1EH, UK. fabio.nery.13@ucl.ac.uk.
Isky GordonDevelopmental Imaging & Biophysics Section, University College London Great Ormond Street Institute of Child Health, London WC1N 1EH, UK. i.gordon@ucl.ac.uk.
David L ThomasDepartment of Brain Repair and Rehabilitation, University College London Institute of Neurology, London WC1N 3BG, UK. d.thomas@ucl.ac.uk.
University College London · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tissue perfusion allows for delivery of oxygen and nutrients to tissues, and in the kidneys is also a key determinant of glomerular filtration. Quantification of regional renal perfusion provides a potential window into renal (patho) physiology. However, non-invasive, practical, and robust methods to measure renal perfusion remain elusive, particularly in the clinic. Arterial spin labeling (ASL), a magnetic resonance imaging (MRI) technique, is arguably the only available method with potential to meet all these needs. Recent developments suggest its viability for clinical application. This review addresses several of these developments and discusses remaining challenges with the emphasis on renal imaging in human subjects.

Indexed as

arterial spin labelingchronic kidney diseasekidney perfusionmagnetic resonance imagingrenal ASLrenal MRI

Identifiers

PMID29303965
PMCPMC5871985
OpenAlexW2782675079

What OpenQuestion holds

Textmetadata
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.