Evidence map›Paper›PMID 34865629›Full record

ArticleJournal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance2021

Direct mitral regurgitation quantification in hypertrophic cardiomyopathy using 4D flow CMR jet tracking: evaluation in comparison to conventional CMR.

Aakash N Gupta, Ryan Avery, Gilles Soulat, Bradley D Allen, Jeremy D Collins, Lubna Choudhury, Robert O Bonow, James Carr, Michael Markl, Mohammed S M Elbaz

Open access · goldAbstract read
In one paragraph

Article in Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
1.4field-weighted citation impact, top 16% 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

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 13 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Deep learning based automated left ventricle segmentation and flow quantification in 4D flow cardiac MRI.Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance · 2024
    Article
  6. Article
  7. Article
  8. Review
  9. 2021-2022 state of our JCMR.Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance · 2022
    Review
  10. The Role of Cardiovascular Magnetic Resonance in Patients with Mitral Regurgitation.Journal of cardiovascular development and disease · 2022
    Review
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

10 authors at 2 institutions in 1 country.

Aakash N GuptaDepartment of Radiology, Northwestern University, Feinberg School of Medicine, 737 N Michigan, Suite 1600, Chicago, IL, 60611, USA.
Ryan AveryDepartment of Radiology, Northwestern University, Feinberg School of Medicine, 737 N Michigan, Suite 1600, Chicago, IL, 60611, USA.
Gilles SoulatDepartment of Radiology, Northwestern University, Feinberg School of Medicine, 737 N Michigan, Suite 1600, Chicago, IL, 60611, USA.
Bradley D AllenDepartment of Radiology, Northwestern University, Feinberg School of Medicine, 737 N Michigan, Suite 1600, Chicago, IL, 60611, USA.
Jeremy D CollinsDepartment of Radiology, Mayo Clinic, Rochester, MN, 55902, USA.
Lubna ChoudhuryDepartment of Medicine, Division of Cardiology, Northwestern University, Feinberg School of Medicine, Chicago, IL, 60611, USA.
Robert O BonowDepartment of Medicine, Division of Cardiology, Northwestern University, Feinberg School of Medicine, Chicago, IL, 60611, USA.
James CarrDepartment of Radiology, Northwestern University, Feinberg School of Medicine, 737 N Michigan, Suite 1600, Chicago, IL, 60611, USA.
Michael MarklDepartment of Radiology, Northwestern University, Feinberg School of Medicine, 737 N Michigan, Suite 1600, Chicago, IL, 60611, USA.
Mohammed S M ElbazDepartment of Radiology, Northwestern University, Feinberg School of Medicine, 737 N Michigan, Suite 1600, Chicago, IL, 60611, USA. mohammed.elbaz@northwestern.edu.ORCID 0000-0001-5051-5668
Northwestern University · USMayo Clinic in Arizona · US

Funding

4D Virtual Catheter (vCath) Assessment of Hemodynamic Pathways in Aortopathy PathogenesisR21HL150498 · NHLBI · NORTHWESTERN UNIVERSITY AT CHICAGO · PI ELBAZ, MOHAMMED, MARKL, MICHAEL · 2020 to 2021
$238k
American Heart Association-American Stroke Association AHA 20TPA35490311NHLBI NIH HHS R21 HL150498NHLBI NIH HHS R21 HL150498-01
6 · The paper itself

Abstract

backgroundQuantitative evaluation of mitral regurgitation (MR) in hypertrophic cardiomyopathy (HCM) by cardiovascular magnetic resonance (CMR) relies on an indirect volumetric calculation. The aim of this study was to directly assess and quantify MR jets in patients with HCM using 4D flow CMR jet tracking in comparison to standard-of-care CMR indirect volumetric method.

methodsThis retrospective study included patients with HCM undergoing 4D flow CMR. By the indirect volumetric method from CMR, MR volume was quantified as left ventricular stroke volume minus forward aortic volume. By 4D flow CMR direct jet tracking, multiplanar reformatted planes were positioned in the peak velocity of the MR jet during systole to calculate through-plane regurgitant flow. MR severity was collected for agreement analysis from a clinical echocardiograms performed within 1 month of CMR. Inter-method and inter-observer agreement were assessed by intraclass correlation coefficient (ICC), Bland-Altman analysis, and Cohen's kappa.

resultsThirty-seven patients with HCM were included. Direct jet tracking demonstrated good inter-method agreement of MR volume compared to the indirect volumetric method (ICC = 0.80, p = 0.004) and fair agreement of MR severity (kappa = 0.27, p = 0.03). Direct jet tracking showed higher agreement with echocardiography (kappa = 0.35, p = 0.04) than indirect volumetric method (kappa = 0.16, p = 0.35). Inter-observer reproducibility of indirect volumetric method components revealed the lowest reproducibility in end-systolic volume (ICC = 0.69, p = 0.15). Indirect volumetric method showed good agreement of MR volume (ICC = 0.80, p = 0.003) and fair agreement of MR severity (kappa = 0.38, p < 0.001). Direct jet tracking demonstrated (1) excellent inter-observer reproducibility of MR volume (ICC = 0.97, p < 0.001) and MR severity (kappa = 0.84, p < 0.001) and (2) excellent intra-observer reproducibility of MR volume (ICC = 0.98, p < 0.001) and MR severity (kappa = 0.88, p < 0.001).

conclusionsQuantifying MR and assessing MR severity by indirect volumetric method in HCM patients has limited inter-observer reproducibility. 4D flow CMR jet tracking is a potential alternative technique to directly quantify and assess MR severity with excellent inter- and intra-observer reproducibility and higher agreement with echocardiography in this population.

Indexed as

Cardiomyopathy, HypertrophicMitral Valve InsufficiencyHumansMagnetic Resonance Imaging, CineMagnetic Resonance SpectroscopyObserver VariationPredictive Value of TestsReproducibility of ResultsRetrospective Studies4D flow CMRHypertrophic cardiomyopathyMitral regurgitationQuantification

Identifiers

PMID34865629
PMCPMC8647422
OpenAlexW4200268241

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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.