Evidence map›Paper›PMID 34615541›Full record

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

Right-left ventricular shape variations in tetralogy of Fallot: associations with pulmonary regurgitation.

Charlène A Mauger, Sachin Govil, Radomir Chabiniok, Kathleen Gilbert, Sanjeet Hegde, Tarique Hussain, Andrew D McCulloch, Christopher J Occleshaw, Jeffrey Omens, James C Perry and 4 more

Abstract 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 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

21 citing papers in PubMed.

  1. A modelling study of right ventricular growth with valvular regurgitation.Biomechanics and modeling in mechanobiology · 2026
    Article
  2. Article
  3. Article
  4. 3D cardiac shape analysis with variational point cloud autoencoders for myocardial infarction prediction and virtual heart synthesis.Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society · 2025
    Article
  5. Article
  6. Characteristics of left ventricular dysfunction in repaired tetralogy of Fallot: A multi-institutional deep learning analysis of regional strain and dyssynchrony.Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance · 2025
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. A deep learning approach for fully automated cardiac shape modeling in tetralogy of Fallot.Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance · 2023
    Article
  14. Article
  15. Article
  16. Article
  17. Multi-modal Latent-Space Self-alignment for Super-Resolution Cardiac MR Segmentation.Statistical atlases and computational models of the heart. STACOM (Workshop) · 2022
    Article
  18. An Atlas-Based Analysis of Biventricular Mechanics in Tetralogy of Fallot.Statistical atlases and computational models of the heart. STACOM (Workshop) · 2022
    Article
  19. Le Cœur en Sabot: shape associations with adverse events in repaired tetralogy of Fallot.Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance · 2022
    Article
  20. 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

14 authors.

Charlène A Mauger *Department of Anatomy and Medical Imaging, University of Auckland, Auckland, New Zealand.
Sachin Govil *University of California San Diego, La Jolla, CA, USA.
Radomir ChabiniokUniversity of Texas Southwestern Medical Centre, Dallas, TX, USA.
Kathleen GilbertAuckland Bioengineering Institute, University of Auckland, Auckland, New Zealand.
Sanjeet HegdeUniversity of California San Diego, La Jolla, CA, USA.
Tarique HussainUniversity of Texas Southwestern Medical Centre, Dallas, TX, USA.
Andrew D McCullochUniversity of California San Diego, La Jolla, CA, USA.
Christopher J OccleshawDepartment of Cardiology, Auckland District Health Board, Auckland, New Zealand.
Jeffrey OmensUniversity of California San Diego, La Jolla, CA, USA.
James C PerryUniversity of California San Diego, La Jolla, CA, USA.
Kuberan PushparajahDepartment of Biomedical Engineering, King's College London, London, UK.
Avan SuinesiaputraSchool of Computing, University of Leeds, Leeds, UK.
Liang ZhongNational Heart Centre, Singapore, Singapore.ORCID 0000-0003-3608-4173
Alistair A YoungDepartment of Anatomy and Medical Imaging, University of Auckland, Auckland, New Zealand. alistair.young@kcl.ac.uk.ORCID 0000-0001-5702-4220

Funding

The Cardiac Atlas ProjectR01HL121754 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI MCCULLOCH, ANDREW D., OMENS, JEFFREY H. · 2014 to 2023
$5.0M
American Heart Association-American Stroke Association 19AIML35120034NHLBI NIH HHS R01 HL121754NHLBI NIH HHS R01HL121754NIH HHS 1T32HL105373
6 · The paper itself

Abstract

backgroundRelationships between right ventricular (RV) and left ventricular (LV) shape and function may be useful in determining optimal timing for pulmonary valve replacement in patients with repaired tetralogy of Fallot (rTOF). However, these are multivariate and difficult to quantify. We aimed to quantify variations in biventricular shape associated with pulmonary regurgitant volume (PRV) in rTOF using a biventricular atlas.

methodsIn this cross-sectional retrospective study, a biventricular shape model was customized to cardiovascular magnetic resonance (CMR) images from 88 rTOF patients (median age 16, inter-quartile range 11.8-24.3 years). Morphometric scores quantifying biventricular shape at end-diastole and end-systole were computed using principal component analysis. Multivariate linear regression was used to quantify biventricular shape associations with PRV, corrected for age, sex, height, and weight. Regional associations were confirmed by univariate correlations with distances and angles computed from the models, as well as global systolic strains computed from changes in arc length from end-diastole to end-systole.

resultsPRV was significantly associated with 5 biventricular morphometric scores, independent of covariates, and accounted for 12.3% of total shape variation (p < 0.05). Increasing PRV was associated with RV dilation and basal bulging, in conjunction with decreased LV septal-lateral dimension (LV flattening) and systolic septal motion towards the RV (all p < 0.05). Increased global RV radial, longitudinal, circumferential and LV radial systolic strains were significantly associated with increased PRV (all p < 0.05).

conclusionA biventricular atlas of rTOF patients quantified multivariate relationships between left-right ventricular morphometry and wall motion with pulmonary regurgitation. Regional RV dilation, LV reduction, LV septal-lateral flattening and increased RV strain were all associated with increased pulmonary regurgitant volume. Morphometric scores provide simple metrics linking mechanisms for structural and functional alteration with important clinical indices.

Indexed as

Pulmonary Valve InsufficiencyTetralogy of FallotAdolescentAdultChildCross-Sectional StudiesHumansPredictive Value of TestsRetrospective StudiesVentricular Function, RightYoung AdultAtlasesCardiovascular magnetic resonanceMyocardial deformationTetralogy of FallotVentricular function

Identifiers

PMID34615541
PMCPMC8496085

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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.