{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,7]],"date-time":"2026-07-07T22:53:59Z","timestamp":1783464839559,"version":"3.55.0"},"update-to":[{"DOI":"10.12688\/wellcomeopenres.17200.1","type":"new_version","label":"New version","source":"publisher","updated":{"date-parts":[[2023,5,10]],"date-time":"2023-05-10T00:00:00Z","timestamp":1683676800000}},{"DOI":"10.12688\/wellcomeopenres.17200.2","type":"new_version","label":"New version","source":"publisher","updated":{"date-parts":[[2023,5,10]],"date-time":"2023-05-10T00:00:00Z","timestamp":1683676800000}}],"reference-count":9,"publisher":"F1000 Research Ltd","license":[{"start":{"date-parts":[[2023,5,10]],"date-time":"2023-05-10T00:00:00Z","timestamp":1683676800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/100010269","name":"Wellcome Trust","doi-asserted-by":"crossref","award":["220703"],"award-info":[{"award-number":["220703"]}],"id":[{"id":"10.13039\/100010269","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/100010269","name":"Wellcome Trust","doi-asserted-by":"crossref","award":["215799"],"award-info":[{"award-number":["215799"]}],"id":[{"id":"10.13039\/100010269","id-type":"DOI","asserted-by":"crossref"}]}],"content-domain":{"domain":["wellcomeopenresearch.org"],"crossmark-restriction":false},"short-container-title":["Wellcome Open Res"],"abstract":"<ns4:p>\n                    <ns4:bold>Background:<\/ns4:bold>\n                    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).\n                  <\/ns4:p>\n                  <ns4:p>\n                    <ns4:bold>Methods:<\/ns4:bold>\n                    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\n                    <ns4:sub>MVAV<\/ns4:sub>\n                    and MR\n                    <ns4:sub>Jet<\/ns4:sub>\n                    ) and two non-4D-flow techniques (MR\n                    <ns4:sub>Standard<\/ns4:sub>\n                    and MR\n                    <ns4:sub>LVRV<\/ns4:sub>\n                    ). We conducted within-software and inter-software correlation and agreement analyses.\n                  <\/ns4:p>\n                  <ns4:p>\n                    <ns4:bold>Results:<\/ns4:bold>\n                    All methods demonstrated significant correlation between the two software solutions: MR\n                    <ns4:sub>Standard<\/ns4:sub>\n                    (r=0.92, p&lt;0.001), MR\n                    <ns4:sub>LVRV<\/ns4:sub>\n                    (r=0.95, p&lt;0.001), MR\n                    <ns4:sub>Jet<\/ns4:sub>\n                    (r=0.86, p&lt;0.001), and MR\n                    <ns4:sub>MVAV<\/ns4:sub>\n                    (r=0.91, p&lt;0.001). Between CAAS and MASS, MR\n                    <ns4:sub>Jet<\/ns4:sub>\n                    and MR\n                    <ns4:sub>MVAV<\/ns4:sub>\n                    , compared to each of the four methods, were the only methods not to be associated with significant bias.\n                  <\/ns4:p>\n                  <ns4:p>\n                    <ns4:bold>Conclusions:<\/ns4:bold>\n                    We conclude that 4D-flow CMR methods demonstrate equivalent reproducibility to non-4D-flow methods but greater levels of agreement between software solutions.\n                  <\/ns4:p>","DOI":"10.12688\/wellcomeopenres.17200.3","type":"journal-article","created":{"date-parts":[[2023,5,10]],"date-time":"2023-05-10T13:45:44Z","timestamp":1683726344000},"page":"253","update-policy":"https:\/\/doi.org\/10.12688\/wellcomeopenres.crossmark-policy","source":"Crossref","is-referenced-by-count":1,"title":["Mitral regurgitation quantification by cardiac magnetic resonance imaging (MRI) remains reproducible between software solutions"],"prefix":"10.12688","volume":"6","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8537-0806","authenticated-orcid":false,"given":"Ciaran","family":"Grafton-Clarke","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3289-2413","authenticated-orcid":false,"given":"George","family":"Thornton","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Benjamin","family":"Fidock","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Gareth","family":"Archer","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Rod","family":"Hose","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Rob J.","family":"van der Geest","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3608-4173","authenticated-orcid":false,"given":"Liang","family":"Zhong","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5483-169X","authenticated-orcid":false,"given":"Andrew J.","family":"Swift","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"James M.","family":"Wild","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2392-0809","authenticated-orcid":false,"given":"Estefania","family":"De G\u00e1rate","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chiara","family":"Bucciarelli-Ducci","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sven","family":"Plein","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Thomas A.","family":"Treibel","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Marcus","family":"Flather","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4005-7752","authenticated-orcid":false,"given":"Vassilios S.","family":"Vassiliou","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5483-169X","authenticated-orcid":false,"given":"Pankaj","family":"Garg","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"2560","published-online":{"date-parts":[[2023,5,10]]},"reference":[{"key":"ref-1","doi-asserted-by":"publisher","first-page":"1231-1243","DOI":"10.1016\/s0195-668x(03)00201-x","article-title":"A prospective survey of patients with valvular heart disease in Europe: The Euro Heart Survey on Valvular Heart Disease.","volume":"24","author":"B Iung","year":"2003","journal-title":"Eur Heart J."},{"key":"ref-2","doi-asserted-by":"publisher","first-page":"611-44","DOI":"10.1093\/ehjci\/jet105","article-title":"Recommendations for the echocardiographic assessment of native valvular regurgitation: an executive summary from the European Association of Cardiovascular Imaging.","volume":"14","author":"P Lancelloti","year":"2013","journal-title":"Eur Heart J Cardiovasc Imaging."},{"key":"ref-3","doi-asserted-by":"publisher","first-page":"2287-2296","DOI":"10.1161\/CIRCULATIONAHA.115.017888","article-title":"Determination of Clinical Outcome in Mitral Regurgitation With Cardiovascular Magnetic Resonance Quantification.","volume":"133","author":"S Myerson","year":"2016","journal-title":"Circulation."},{"key":"ref-4","doi-asserted-by":"publisher","first-page":"298-312","DOI":"10.1038\/s41569-019-0305-z","article-title":"Assessment of mitral valve regurgitation by cardiovascular magnetic resonance imaging.","volume":"17","author":"P Garg","year":"2020","journal-title":"Nat Rev Cardiol."},{"key":"ref-5","doi-asserted-by":"publisher","first-page":"316-321","DOI":"10.1016\/j.ijcard.2021.01.066","article-title":"Standard and emerging CMR methods for mitral regurgitation quantification.","volume":"331","author":"B Fidock","year":"2021","journal-title":"Int J Cardiol."},{"key":"ref-6","doi-asserted-by":"publisher","first-page":"1147-1158","DOI":"10.1002\/jmri.26040","article-title":"4D flow MRI quantification of mitral and tricuspid regurgitation: Reproducibility and consistency relative to conventional MRI.","volume":"48","author":"J Feneis","year":"2018","journal-title":"J Magn Reson Imaging."},{"key":"ref-7","doi-asserted-by":"publisher","first-page":"72","DOI":"10.1186\/s12968-015-0174-5","article-title":"4D flow cardiovascular magnetic resonance consensus statement.","volume":"17","author":"P Dyverfeldt","year":"2015","journal-title":"J Cardiovasc Magn Reson."},{"key":"ref-8","article-title":"Mitral regurgitation quantification by cardiac MRI between two software solutions.","author":"C Grafton-Clarke","year":"2021"},{"key":"ref-9","doi-asserted-by":"publisher","first-page":"1354-1366","DOI":"10.1016\/j.jcmg.2020.12.014","article-title":"Multicenter Consistency Assessment of Valvular Flow Quantification With Automated Valve Tracking in 4D Flow CMR.","volume":"14","author":"J Juffermans","year":"2021","journal-title":"JACC Cardiovasc Imaging."}],"container-title":["Wellcome Open 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status","group":{"name":"current-referee-status","label":"Current Referee Status"}},{"value":"10.21956\/wellcomeopenres.19429.r48027, Antonio Luna, Department of Imaging, HT M\u00e9dica, Ja\u00e9n, 27 Jan 2022, version 2, 1 approved, 1 approved with reservations","URL":"https:\/\/wellcomeopenresearch.org\/articles\/6-253\/v2#referee-response-48027","order":0,"name":"referee-response-48027","label":"Referee Report","group":{"name":"article-reports","label":"Article Reports"}},{"value":"10.21956\/wellcomeopenres.21503.r57154, Nay Aung, William Harvey Research Institute, National Institute for Health and Care Research Barts Biomedical Research Centre, Queen Mary University London, London, 26 May 2023, version 3, indexed","URL":"https:\/\/wellcomeopenresearch.org\/articles\/6-253\/v3#referee-response-57154","order":1,"name":"referee-response-57154","label":"Referee Report","group":{"name":"article-reports","label":"Article Reports"}},{"value":"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. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.","order":2,"name":"grant-information","label":"Grant Information"},{"value":"This is an open access article distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.","order":0,"name":"copyright-info","label":"Copyright"}]}}