Evidence map›Paper›PMID 36131185›Full record

Observational studyEuropean radiology experimental2022

Kat-ARC accelerated 4D flow CMR: clinical validation for transvalvular flow and peak velocity assessment.

Hosamadin Assadi, Bhalraam Uthayachandran, Rui Li, James Wardley, Tha H Nyi, Ciaran Grafton-Clarke, Andrew J Swift, Ana Beatriz Solana, Jean-Paul Aben, Kurian Thampi and 9 more

Abstract readObservational Study
In one paragraph

Observational study in European radiology experimental, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
–field-weighted citation impact
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

13 citing papers in PubMed.

  1. Review
  2. Article
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  6. Review
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  12. Article
  13. Aortic flow is abnormal in HFpEF.Wellcome open research · 2023
    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

19 authors.

Hosamadin AssadiUniversity of East Anglia, Norwich Medical School, Norfolk, UK. Hosamassadi@gmail.com.ORCID 0000-0002-6143-8095
Bhalraam UthayachandranDivision of Molecular and Clinical Medicine, University of Dundee, Dundee, UK.
Rui LiUniversity of East Anglia, Norwich Medical School, Norfolk, UK.
James WardleyUniversity of East Anglia, Norwich Medical School, Norfolk, UK.
Tha H NyiNorfolk and Norwich University Hospitals NHS Foundation Trust, Norfolk, UK.
Ciaran Grafton-ClarkeNorfolk and Norwich University Hospitals NHS Foundation Trust, Norfolk, UK.
Andrew J SwiftDepartment of Infection, Immunity and Cardiovascular disease, University of Sheffield Medical School and Sheffield Teaching Hospitals NHS Trust, Sheffield, UK.
Ana Beatriz SolanaASL Europe, GE Healthcare, Munich, Germany.
Jean-Paul AbenPie Medical Imaging BV, Maastricht, the Netherlands.
Kurian ThampiNorfolk and Norwich University Hospitals NHS Foundation Trust, Norfolk, UK.
David HewsonNorfolk and Norwich University Hospitals NHS Foundation Trust, Norfolk, UK.
Chris SawhNorfolk and Norwich University Hospitals NHS Foundation Trust, Norfolk, UK.
Richard GreenwoodNorfolk and Norwich University Hospitals NHS Foundation Trust, Norfolk, UK.
Marina HughesNorfolk and Norwich University Hospitals NHS Foundation Trust, Norfolk, UK.
Bahman KasmaiUniversity of East Anglia, Norwich Medical School, Norfolk, UK.
Liang ZhongNational Heart Centre Singapore, 5 Hospital Drive, Singapore, Singapore.
Marcus FlatherUniversity of East Anglia, Norwich Medical School, Norfolk, UK.
Vassilios S VassiliouUniversity of East Anglia, Norwich Medical School, Norfolk, UK.
Pankaj GargUniversity of East Anglia, Norwich Medical School, Norfolk, UK.

Funding

Wellcome Trust 205188/Z/16/ZWellcome Trust 220703/Z/20/Z
6 · The paper itself

Abstract

backgroundTo validate the k-adaptive-t autocalibrating reconstruction for Cartesian sampling (kat-ARC), an exclusive sparse reconstruction technique for four-dimensional (4D) flow cardiac magnetic resonance (CMR) using conservation of mass principle applied to transvalvular flow.

methodsThis observational retrospective study (2020/21-075) was approved by the local ethics committee at the University of East Anglia. Consent was waived. Thirty-five patients who had a clinical CMR scan were included. CMR protocol included cine and 4D flow using Kat-ARC acceleration factor 6. No respiratory navigation was applied. For validation, the agreement between mitral net flow (MNF) and the aortic net flow (ANF) was investigated. Additionally, we checked the agreement between peak aortic valve velocity derived by 4D flow and that derived by continuous-wave Doppler echocardiography in 20 patients.

resultsThe median age of our patient population was 63 years (interquartile range [IQR] 54-73), and 18/35 (51%) were male. Seventeen (49%) patients had mitral regurgitation, and seven (20%) patients had aortic regurgitation. Mean acquisition time was 8 ± 4 min. MNF and ANF were comparable: 60 mL (51-78) versus 63 mL (57-77), p = 0.310). There was an association between MNF and ANF (rho = 0.58, p < 0.001). Peak aortic valve velocity by Doppler and 4D flow were comparable (1.40 m/s, [1.30-1.75] versus 1.46 m/s [1.25-2.11], p = 0.602) and also correlated with each other (rho = 0.77, p < 0.001).

conclusionsKat-ARC accelerated 4D flow CMR quantified transvalvular flow in accordance with the conservation of mass principle and is primed for clinical translation.

Indexed as

Aortic ValveBlood Flow VelocityFemaleHumansMagnetic Resonance SpectroscopyMaleMiddle AgedRetrospective StudiesAortic valveBlood flow velocityEchocardiography (Doppler)Magnetic resonance imagingMitral valve

Identifiers

PMID36131185
PMCPMC9492816

What OpenQuestion holds

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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.