Mitral regurgitation quantification by cardiac magnetic resonance imaging (MRI) remains reproducible between software solutions

Grafton-Clarke, Ciaran ORCID: https://orcid.org/0000-0002-8537-0806, Thornton, George, Fidock, Benjamin, Archer, Gareth, Hose, Rod, van der Geest, Rob J., Zhong, Liang, Swift, Andrew J., Wild, James M., De Gárate, Estefania, Bucciarelli-Ducci, Chiara, Plein, Sven, Treibel, Thomas A., Flather, Marcus, Vassiliou, Vassilios S. ORCID: https://orcid.org/0000-0002-4005-7752 and Garg, Pankaj ORCID: https://orcid.org/0000-0002-5483-169X (2023) Mitral regurgitation quantification by cardiac magnetic resonance imaging (MRI) remains reproducible between software solutions. Wellcome Open Research, 6. ISSN 2398-502X

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Abstract

Background: The reproducibility of mitral regurgitation (MR) quantification by cardiovascular magnetic resonance (CMR) imaging using different software solutions remains unclear. This research aimed to investigate the reproducibility of MR quantification between two software solutions: MASS (version 2019 EXP, LUMC, Netherlands) and CAAS (version 5.2, Pie Medical Imaging). Methods: CMR data of 35 patients with MR (12 primary MR, 13 mitral valve repair/replacement, and ten secondary MR) was used. Four methods of MR volume quantification were studied, including two 4D-flow CMR methods (MR MVAV and MR Jet) and two non-4D-flow techniques (MR Standard and MR LVRV). We conducted within-software and inter-software correlation and agreement analyses. Results: All methods demonstrated significant correlation between the two software solutions: MR Standard(r=0.92, p<0.001), MR LVRV(r=0.95, p<0.001), MR Jet(r=0.86, p<0.001), and MR MVAV(r=0.91, p<0.001). Between CAAS and MASS, MR Jet and MR MVAV, compared to each of the four methods, were the only methods not to be associated with significant bias. Conclusions: We conclude that 4D-flow CMR methods demonstrate equivalent reproducibility to non-4D-flow methods but greater levels of agreement between software solutions.

Item Type: Article
Additional Information: Funding Information: This work was supported by Wellcome Trust [220703, 215799]. For the purpose of open access, the author has applied a CC BY public copyright licence to any Author Accepted Manuscript version arising from this submission. Publisher Copyright: Copyright: © 2023 Grafton-Clarke C et al.
Uncontrolled Keywords: magnetic resonance imaging,mitral valve insufficiency,reproducibility of results,medicine (miscellaneous),biochemistry, genetics and molecular biology(all) ,/dk/atira/pure/subjectarea/asjc/2700/2701
Faculty \ School: Faculty of Medicine and Health Sciences > Norwich Medical School
UEA Research Groups: Faculty of Medicine and Health Sciences > Research Groups > Cardiovascular and Metabolic Health
Faculty of Science > Research Groups > Norwich Epidemiology Centre
Faculty of Medicine and Health Sciences > Research Groups > Norwich Epidemiology Centre
Faculty of Medicine and Health Sciences > Research Centres > Metabolic Health
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Depositing User: LivePure Connector
Date Deposited: 17 Jan 2024 01:37
Last Modified: 18 Jan 2024 01:36
URI: https://ueaeprints.uea.ac.uk/id/eprint/94189
DOI: 10.12688/wellcomeopenres.17200.3

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