Evidence map›Paper›PMID 35488286›Full record

ArticleBMC research notes2022

Validation of aortic valve pressure gradient quantification using semi-automated 4D flow CMR pipeline.

Ciaran Grafton-Clarke, Paul Njoku, Jean-Paul Aben, Leon Ledoux, Liang Zhong, Jos Westenberg, Andrew Swift, Gareth Archer, James Wild, Rod Hose and 3 more

Open access · goldAbstract read
In one paragraph

Article in BMC research notes, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.8field-weighted citation impact, top 27% 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

2 citing papers in PubMed, 6 citations in OpenAlex.

  1. Review
  2. Observational
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

13 authors at 4 institutions in 3 countries.

Ciaran Grafton-ClarkeNorwich Medical School, University of East Anglia, Norwich, S10 2RX, UK.ORCID http://orcid.org/0000-0002-8537-0806
Paul NjokuNorwich Medical School, University of East Anglia, Norwich, S10 2RX, UK.
Jean-Paul AbenPie Medical Imaging, Maastricht, The Netherlands.
Leon LedouxPie Medical Imaging, Maastricht, The Netherlands.
Liang ZhongNational Heart Centre, Singapore, Singapore.
Jos WestenbergLeids Universitair Medisch Centrum, Leiden, The Netherlands.
Andrew SwiftUniversity of Sheffield, Sheffield, UK.
Gareth ArcherUniversity of Sheffield, Sheffield, UK.
James WildUniversity of Sheffield, Sheffield, UK.
Rod HoseUniversity of Sheffield, Sheffield, UK.
Marcus FlatherNorwich Medical School, University of East Anglia, Norwich, S10 2RX, UK.
Vassilios S VassiliouNorwich Medical School, University of East Anglia, Norwich, S10 2RX, UK.
Pankaj GargNorwich Medical School, University of East Anglia, Norwich, S10 2RX, UK. p.garg@uea.ac.uk.
University of East Anglia · GBUniversity of Sheffield · GBLeiden University Medical Center · NLNational Heart Centre Singapore · SG

Funding

British Heart Foundation SP/14/6/31350Medical Research Council MR/M008894/1Wellcome Trust 215799/Z/19/ZWellcome Trust 220703/Z/20/Z
6 · The paper itself

Abstract

objectiveDoppler echocardiographic aortic valve peak velocity and peak pressure gradient assessment across the aortic valve (AV) is the mainstay for diagnosing aortic stenosis. Four-dimensional flow cardiovascular magnetic resonance (4D flow CMR) is emerging as a valuable diagnostic tool for estimating the peak pressure drop across the aortic valve, but assessment remains cumbersome. We aimed to validate a novel semi-automated pipeline 4D flow CMR method of assessing peak aortic value pressure gradient (AVPG) using the commercially available software solution, CAAS MR Solutions, against invasive angiographic methods.

resultsWe enrolled 11 patients with severe AS on echocardiography from the EurValve programme. All patients had pre-intervention doppler echocardiography, invasive cardiac catheterisation with peak pressure drop assessment across the AV and 4D flow CMR. The peak AVPG was 51.9 ± 35.2 mmHg using the invasive pressure drop method and 52.2 ± 29.2 mmHg for the 4D flow CMR method (semi-automated pipeline), with good correlation between the two methods (r = 0.70, p = 0.017). Assessment of AVPG by 4D flow CMR using the novel semi-automated pipeline method shows excellent agreement to invasive assessment when compared to doppler-based methods and advocate for its use as complementary to echocardiography.

Indexed as

Aortic ValveAortic Valve StenosisBlood Flow VelocityEchocardiographyEchocardiography, DopplerHumansAortic stenosisCardiac MRIValidation

Identifiers

PMID35488286
PMCPMC9052497
OpenAlexW4225152719

What OpenQuestion holds

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LicenceCC BY
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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.