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Automated Quantification of Mitral Regurgitation by Three Dimensional Real Time Full Volume Color Doppler Transthoracic Echocardiography: A Validation with Cardiac Magnetic Resonance Imaging and Comparison with Two Dimensional Quantitative Methods

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dc.contributor.author신상준-
dc.contributor.author허란-
dc.contributor.author홍그루-
dc.contributor.author심지영-
dc.contributor.author장혁재-
dc.contributor.author정남식-
dc.contributor.author손장원-
dc.date.accessioned2014-12-18T09:20:19Z-
dc.date.available2014-12-18T09:20:19Z-
dc.date.issued2013-
dc.identifier.issn1975-4612-
dc.identifier.urihttps://ir.ymlib.yonsei.ac.kr/handle/22282913/87985-
dc.description.abstractBACKGROUND: Accurate assessment of mitral regurgitation (MR) severity is crucial for clinical decision-making and optimizing patient outcomes. Recent advances in real-time three dimensional (3D) echocardiography provide the option of real-time full volume color Doppler echocardiography (FVCD) measurements. This makes it practical to quantify MR by subtracting aortic stroke volume from the volume of mitral inflow in an automated manner. METHODS: Thirty-two patients with more than a moderate degree of MR assessed by transthoracic echocardiography (TTE) were consecutively enrolled during this study. MR volume was measured by 1) two dimensional (2D) Doppler TTE, using the proximal isovelocity surface area (PISA) and the volumetric quantification methods (VM). Then, 2) real time 3D-FVCD was subsequently obtained, and dedicated software was used to quantify the MR volume. MR volume was also measured using 3) phase contrast cardiac magnetic resonance imaging (PC-CMR). In each patient, all these measurements were obtained within the same day. Automated MR quantification was feasible in 30 of 32 patients. RESULTS: The mean regurgitant volume quantified by 2D-PISA, 2D-VM, 3D-FVCD, and PC-CMR was 72.1 ± 27.7, 79.9 ± 36.9, 69.9 ± 31.5, and 64.2 ± 30.7 mL, respectively (p = 0.304). There was an excellent correlation between the MR volume measured by PC-CMR and 3D-FVCD (r = 0.85, 95% CI 0.70-0.93, p < 0.001). Compared with PC-CMR, Bland-Altman analysis for 3D-FVCD showed a good agreement (2 standard deviations: 34.3 mL) than did 2D-PISA or 2D-VM (60.0 and 62.8 mL, respectively). CONCLUSION: Automated quantification of MR with 3D-FVCD is feasible and accurate. It is a promising tool for the real-time 3D echocardiographic assessment of patients with MR.-
dc.description.statementOfResponsibilityopen-
dc.relation.isPartOfJournal of Cardiovascular Ultrasound-
dc.rightsCC BY-NC-ND 2.0 KR-
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/2.0/kr/-
dc.titleAutomated Quantification of Mitral Regurgitation by Three Dimensional Real Time Full Volume Color Doppler Transthoracic Echocardiography: A Validation with Cardiac Magnetic Resonance Imaging and Comparison with Two Dimensional Quantitative Methods-
dc.typeArticle-
dc.contributor.collegeCollege of Medicine (의과대학)-
dc.contributor.departmentDept. of Internal Medicine (내과학)-
dc.contributor.googleauthorJang-Won Son-
dc.contributor.googleauthorHyuk-Jae Chang-
dc.contributor.googleauthorJin-Kyung Lee-
dc.contributor.googleauthorHee-Jung Chung-
dc.contributor.googleauthorRan-Young Song-
dc.contributor.googleauthorYoung-Jin Kim-
dc.contributor.googleauthorSaurabh Datta-
dc.contributor.googleauthorRan Heo-
dc.contributor.googleauthorSang-Hoon Shin-
dc.contributor.googleauthorIn-Jeong Cho-
dc.contributor.googleauthorChi Young Shim-
dc.contributor.googleauthorGeu-Ru Hong-
dc.contributor.googleauthorNamsik Chung-
dc.identifier.doi10.4250/jcu.2013.21.2.81-
dc.admin.authorfalse-
dc.admin.mappingfalse-
dc.contributor.localIdA02105-
dc.contributor.localIdA04348-
dc.contributor.localIdA04386-
dc.contributor.localIdA02213-
dc.contributor.localIdA03490-
dc.contributor.localIdA03585-
dc.contributor.localIdA01990-
dc.relation.journalcodeJ01298-
dc.identifier.pmid23837118-
dc.subject.keyword3D echocardiography-
dc.subject.keywordMitral regurgitation-
dc.subject.keywordQuantitative evaluation-
dc.contributor.alternativeNameShin, Sang Joon-
dc.contributor.alternativeNameHeo, Ran-
dc.contributor.alternativeNameHong, Geu Ru-
dc.contributor.alternativeNameShim, Chi Young-
dc.contributor.alternativeNameChang, Hyuck Jae-
dc.contributor.alternativeNameChung, Nam Sik-
dc.contributor.alternativeNameSon, Jang Won-
dc.contributor.affiliatedAuthorShin, Sang Joon-
dc.contributor.affiliatedAuthorHeo, Ran-
dc.contributor.affiliatedAuthorHong, Geu Ru-
dc.contributor.affiliatedAuthorShim, Chi Young-
dc.contributor.affiliatedAuthorChang, Hyuck Jae-
dc.contributor.affiliatedAuthorChung, Nam Sik-
dc.contributor.affiliatedAuthorSon, Jang Won-
dc.rights.accessRightsfree-
dc.citation.volume21-
dc.citation.number2-
dc.citation.startPage81-
dc.citation.endPage89-
dc.identifier.bibliographicCitationJournal of Cardiovascular Ultrasound, Vol.21(2) : 81-89, 2013-
dc.identifier.rimsid32686-
dc.type.rimsART-
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Internal Medicine (내과학교실) > 1. Journal Papers

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