Calculation of Regurgitant Volume Using Echocardiographic Volumetric Method for Accurate Diagnosis of Severe Mitral Regurgitation
Recent studies have shown suboptimal results of the proximal isovelocity surface area (PISA) method and the American Society of Echocardiography (ASE) algorithm for diagnosing severe primary mitral regurgitation (MR). The aim of this study was to evaluate the accuracy of regurgitant volume (RegVol)...
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Published in | Journal of the American Society of Echocardiography Vol. 38; no. 8; pp. 671 - 681 |
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Main Authors | , , , , , , , , , , , , , |
Format | Journal Article |
Language | English |
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United States
Elsevier Inc
01.08.2025
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ISSN | 0894-7317 1097-6795 1097-6795 |
DOI | 10.1016/j.echo.2025.02.012 |
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Abstract | Recent studies have shown suboptimal results of the proximal isovelocity surface area (PISA) method and the American Society of Echocardiography (ASE) algorithm for diagnosing severe primary mitral regurgitation (MR). The aim of this study was to evaluate the accuracy of regurgitant volume (RegVol) calculated using volumetric transthoracic echocardiography (TTE) for diagnosing severe primary MR.
A total of 74 patients with primary MR due to prolapse or flail leaflet were prospectively recruited for both TTE and cardiac magnetic resonance (CMR) imaging. RegVol was calculated using PISA (RegVol_PISA) or the volumetric method (left ventricular total stroke volume − systolic forward outflow volume; RegVol_TTE). According to the ASE algorithm, patients with four or more parameters were diagnosed with severe MR. RegVol_CMR ≥ 60 mL was used as the gold standard for diagnosing severe MR.
All subjects had at least moderate to severe MR according to ASE guidelines. CMR imaging confirmed that 30 patients (41%) had severe MR. The concordance correlation coefficient between RegVol_TTE and RegVol_CMR (0.809; 95% CI, 0.715-0.893) was higher than that between RegVol_PISA and RegVol_CMR (0.468; 95% CI, 0.323-0.576). The overall accuracy of RegVol_TTE for the diagnosis of severe MR was 90.5% (95% CI, 81.5-96.1), which was significantly higher than that of RegVol_PISA (64.9%; 95% CI, 52.9-75.6; P < .001) and the ASE algorithm (77.0%; 95% CI, 65.8-86.0; P = .004). The area under the curve for RegVol_TTE (0.95; 95% CI, 0.90-1.00) was significantly larger than that for RegVol_PISA (0.88; 95% CI, 0.80-0.96; P = .028).
RegVol_TTE showed better diagnostic performance than the PISA method and the ASE algorithm in diagnosing severe MR. Further investigations are necessary to evaluate the clinical usefulness of the routine use of RegVol_TTE.
Calculation of RegVol using echocardiographic volumetric method for accurate diagnosis of severe primary degenerative MR. This head-to-head comparison of the PISA technique, ASE algorithm, and volumetric TTE using CMR imaging as a gold standard showed that the calculation of RegVol using echocardiographic volumetric method is more accurate than the PISA method and the ASE algorithm, with the largest area under the curve (AUC) on the receiver operating characteristic curve analysis. EF, Ejection fraction; LA, left atrial; LV, left ventricle; VCW, vena contracta width. [Display omitted]
•RegVol can be calculated using a 2D volumetric echocardiographic method.•This method was more accurate than the PISA method in diagnosing severe primary MR.•Further investigations are needed to evaluate the clinical usefulness of this method. |
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AbstractList | BackgroundRecent studies have shown suboptimal results of the proximal isovelocity surface area (PISA) method and the American Society of Echocardiography (ASE) algorithm for diagnosing severe primary mitral regurgitation (MR). The aim of this study was to evaluate the accuracy of regurgitant volume (RegVol) calculated using volumetric transthoracic echocardiography (TTE) for diagnosing severe primary MR. MethodsA total of 74 patients with primary MR due to prolapse or flail leaflet were prospectively recruited for both TTE and cardiac magnetic resonance (CMR) imaging. RegVol was calculated using PISA (RegVol_ PISA) or the volumetric method (left ventricular total stroke volume − systolic forward outflow volume; RegVol_ TTE). According to the ASE algorithm, patients with four or more parameters were diagnosed with severe MR. RegVol_ CMR ≥ 60 mL was used as the gold standard for diagnosing severe MR. ResultsAll subjects had at least moderate to severe MR according to ASE guidelines. CMR imaging confirmed that 30 patients (41%) had severe MR. The concordance correlation coefficient between RegVol_ TTE and RegVol_ CMR (0.809; 95% CI, 0.715-0.893) was higher than that between RegVol_ PISA and RegVol_ CMR (0.468; 95% CI, 0.323-0.576). The overall accuracy of RegVol_ TTE for the diagnosis of severe MR was 90.5% (95% CI, 81.5-96.1), which was significantly higher than that of RegVol_ PISA (64.9%; 95% CI, 52.9-75.6; P < .001) and the ASE algorithm (77.0%; 95% CI, 65.8-86.0; P = .004). The area under the curve for RegVol_ TTE (0.95; 95% CI, 0.90-1.00) was significantly larger than that for RegVol_ PISA (0.88; 95% CI, 0.80-0.96; P = .028). ConclusionsRegVol_ TTE showed better diagnostic performance than the PISA method and the ASE algorithm in diagnosing severe MR. Further investigations are necessary to evaluate the clinical usefulness of the routine use of RegVol_ TTE. To evaluate the accuracy of regurgitant volume calculated by volumetric transthoracic echocardiography (RegVol_TTE) for diagnosing severe primary mitral regurgitation (MR).OBJECTIVESTo evaluate the accuracy of regurgitant volume calculated by volumetric transthoracic echocardiography (RegVol_TTE) for diagnosing severe primary mitral regurgitation (MR).Recent studies have shown suboptimal results of the proximal isovelocity surface area (PISA) method and the American Society of Echocardiography (ASE) algorithm for diagnosing severe primary MR.BACKGROUNDRecent studies have shown suboptimal results of the proximal isovelocity surface area (PISA) method and the American Society of Echocardiography (ASE) algorithm for diagnosing severe primary MR.A total of 74 patients with primary MR due to prolapse or flail leaflet were prospectively recruited for both TTE and cardiac magnetic resonance imaging (CMR). RegVol was calculated using PISA (RegVol_PISA) or the volumetric method (left ventricular total stroke volume-systolic forward outflow volume; RegVol_TTE). According to the ASE algorithm, patients with four or more parameters were diagnosed with severe MR. RegVol_CMR of ≥60 mL was used as the gold standard for diagnosing severe MR.METHODSA total of 74 patients with primary MR due to prolapse or flail leaflet were prospectively recruited for both TTE and cardiac magnetic resonance imaging (CMR). RegVol was calculated using PISA (RegVol_PISA) or the volumetric method (left ventricular total stroke volume-systolic forward outflow volume; RegVol_TTE). According to the ASE algorithm, patients with four or more parameters were diagnosed with severe MR. RegVol_CMR of ≥60 mL was used as the gold standard for diagnosing severe MR.All subjects had at least moderate to severe MR based on ASE guidelines. CMR confirmed that 30 patients (41%) had severe MR. The concordance correlation coefficient between RegVol_TTE and RegVol_CMR (0.809; 95% confidence interval [CI], 0.715-0.893) was higher than that between RegVol_PISA and RegVol_CMR (0.468; 95% CI, 0.323-0.576). The overall accuracy of RegVol_TTE for the diagnosis of severe MR was 90.5% (95% CI, 81.5-96.1), which was significantly higher than that of RegVol_PISA (64.9%; 95% CI, 52.9-75.6; p<0.001) and the ASE algorithm (77.0%; 95% CI, 65.8-86.0; p=0.004). The area under the curve of RegVol_TTE (0.95; 95% CI, 0.90-1.00) was significantly larger than that of RegVol_PISA (0.88; 95% CI, 0.80-0.96; p=0.028).RESULTSAll subjects had at least moderate to severe MR based on ASE guidelines. CMR confirmed that 30 patients (41%) had severe MR. The concordance correlation coefficient between RegVol_TTE and RegVol_CMR (0.809; 95% confidence interval [CI], 0.715-0.893) was higher than that between RegVol_PISA and RegVol_CMR (0.468; 95% CI, 0.323-0.576). The overall accuracy of RegVol_TTE for the diagnosis of severe MR was 90.5% (95% CI, 81.5-96.1), which was significantly higher than that of RegVol_PISA (64.9%; 95% CI, 52.9-75.6; p<0.001) and the ASE algorithm (77.0%; 95% CI, 65.8-86.0; p=0.004). The area under the curve of RegVol_TTE (0.95; 95% CI, 0.90-1.00) was significantly larger than that of RegVol_PISA (0.88; 95% CI, 0.80-0.96; p=0.028).RegVol_TTE showed better diagnostic performance than the PISA method and the ASE algorithm in diagnosing severe MR. Further investigations are necessary to evaluate the clinical usefulness of routine utilization of RegVol_TTE.CONCLUSIONSRegVol_TTE showed better diagnostic performance than the PISA method and the ASE algorithm in diagnosing severe MR. Further investigations are necessary to evaluate the clinical usefulness of routine utilization of RegVol_TTE. Recent studies have shown suboptimal results of the proximal isovelocity surface area (PISA) method and the American Society of Echocardiography (ASE) algorithm for diagnosing severe primary mitral regurgitation (MR). The aim of this study was to evaluate the accuracy of regurgitant volume (RegVol) calculated using volumetric transthoracic echocardiography (TTE) for diagnosing severe primary MR. A total of 74 patients with primary MR due to prolapse or flail leaflet were prospectively recruited for both TTE and cardiac magnetic resonance (CMR) imaging. RegVol was calculated using PISA (RegVol_PISA) or the volumetric method (left ventricular total stroke volume − systolic forward outflow volume; RegVol_TTE). According to the ASE algorithm, patients with four or more parameters were diagnosed with severe MR. RegVol_CMR ≥ 60 mL was used as the gold standard for diagnosing severe MR. All subjects had at least moderate to severe MR according to ASE guidelines. CMR imaging confirmed that 30 patients (41%) had severe MR. The concordance correlation coefficient between RegVol_TTE and RegVol_CMR (0.809; 95% CI, 0.715-0.893) was higher than that between RegVol_PISA and RegVol_CMR (0.468; 95% CI, 0.323-0.576). The overall accuracy of RegVol_TTE for the diagnosis of severe MR was 90.5% (95% CI, 81.5-96.1), which was significantly higher than that of RegVol_PISA (64.9%; 95% CI, 52.9-75.6; P < .001) and the ASE algorithm (77.0%; 95% CI, 65.8-86.0; P = .004). The area under the curve for RegVol_TTE (0.95; 95% CI, 0.90-1.00) was significantly larger than that for RegVol_PISA (0.88; 95% CI, 0.80-0.96; P = .028). RegVol_TTE showed better diagnostic performance than the PISA method and the ASE algorithm in diagnosing severe MR. Further investigations are necessary to evaluate the clinical usefulness of the routine use of RegVol_TTE. Calculation of RegVol using echocardiographic volumetric method for accurate diagnosis of severe primary degenerative MR. This head-to-head comparison of the PISA technique, ASE algorithm, and volumetric TTE using CMR imaging as a gold standard showed that the calculation of RegVol using echocardiographic volumetric method is more accurate than the PISA method and the ASE algorithm, with the largest area under the curve (AUC) on the receiver operating characteristic curve analysis. EF, Ejection fraction; LA, left atrial; LV, left ventricle; VCW, vena contracta width. [Display omitted] •RegVol can be calculated using a 2D volumetric echocardiographic method.•This method was more accurate than the PISA method in diagnosing severe primary MR.•Further investigations are needed to evaluate the clinical usefulness of this method. Recent studies have shown suboptimal results of the proximal isovelocity surface area (PISA) method and the American Society of Echocardiography (ASE) algorithm for diagnosing severe primary mitral regurgitation (MR). The aim of this study was to evaluate the accuracy of regurgitant volume (RegVol) calculated using volumetric transthoracic echocardiography (TTE) for diagnosing severe primary MR. A total of 74 patients with primary MR due to prolapse or flail leaflet were prospectively recruited for both TTE and cardiac magnetic resonance (CMR) imaging. RegVol was calculated using PISA (RegVol_ ) or the volumetric method (left ventricular total stroke volume - systolic forward outflow volume; RegVol_ ). According to the ASE algorithm, patients with four or more parameters were diagnosed with severe MR. RegVol_ ≥ 60 mL was used as the gold standard for diagnosing severe MR. All subjects had at least moderate to severe MR according to ASE guidelines. CMR imaging confirmed that 30 patients (41%) had severe MR. The concordance correlation coefficient between RegVol_ and RegVol_ (0.809; 95% CI, 0.715-0.893) was higher than that between RegVol_ and RegVol_ (0.468; 95% CI, 0.323-0.576). The overall accuracy of RegVol_ for the diagnosis of severe MR was 90.5% (95% CI, 81.5-96.1), which was significantly higher than that of RegVol_ (64.9%; 95% CI, 52.9-75.6; P < .001) and the ASE algorithm (77.0%; 95% CI, 65.8-86.0; P = .004). The area under the curve for RegVol_ (0.95; 95% CI, 0.90-1.00) was significantly larger than that for RegVol_ (0.88; 95% CI, 0.80-0.96; P = .028). RegVol_ showed better diagnostic performance than the PISA method and the ASE algorithm in diagnosing severe MR. Further investigations are necessary to evaluate the clinical usefulness of the routine use of RegVol_ . |
Author | Kim, Ga Yun Lee, Ji Sung Kang, Duk-Hyun Jo, Ha Hye Lee, Jong En Song, Jae-Kwan Lim, So-Min Lee, Hye Soo Song, Jong-Min Koo, Hyun Jung Pack, Dayoung Sun, Byung Joo Kim, Dae-Hee Lee, Sahmin |
Author_xml | – sequence: 1 givenname: Ga Yun surname: Kim fullname: Kim, Ga Yun organization: Department of Cardiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea – sequence: 2 givenname: Ha Hye surname: Jo fullname: Jo, Ha Hye organization: Department of Cardiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea – sequence: 3 givenname: So-Min surname: Lim fullname: Lim, So-Min organization: Department of Cardiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea – sequence: 4 givenname: Dayoung surname: Pack fullname: Pack, Dayoung organization: Department of Cardiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea – sequence: 5 givenname: Hye Soo surname: Lee fullname: Lee, Hye Soo organization: Department of Cardiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea – sequence: 6 givenname: Jong En surname: Lee fullname: Lee, Jong En organization: Department of Cardiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea – sequence: 7 givenname: Hyun Jung surname: Koo fullname: Koo, Hyun Jung organization: Department of Cardiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea – sequence: 8 givenname: Ji Sung surname: Lee fullname: Lee, Ji Sung organization: Clinical Research Center, Asan Institute for Life Science, Seoul, South Korea – sequence: 9 givenname: Sahmin surname: Lee fullname: Lee, Sahmin organization: Department of Cardiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea – sequence: 10 givenname: Byung Joo surname: Sun fullname: Sun, Byung Joo organization: Department of Cardiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea – sequence: 11 givenname: Dae-Hee surname: Kim fullname: Kim, Dae-Hee organization: Department of Cardiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea – sequence: 12 givenname: Jong-Min surname: Song fullname: Song, Jong-Min organization: Department of Cardiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea – sequence: 13 givenname: Duk-Hyun surname: Kang fullname: Kang, Duk-Hyun organization: Department of Cardiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea – sequence: 14 givenname: Jae-Kwan orcidid: 0000-0002-6469-801X surname: Song fullname: Song, Jae-Kwan email: jksong@amc.seoul.kr organization: Department of Cardiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea |
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Keywords | PISA Echocardiography TTE MR CMR LV Regurgitant volume 2D ASE RegVol Volumetry Mitral regurgitation Cardiac magnetic resonance imaging Transthoracic echocardiography Two-dimensional Left ventricular Proximal isovelocity surface area Mitral regurgitant volume Cardiac magnetic resonance American Society of Echocardiography |
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Snippet | Recent studies have shown suboptimal results of the proximal isovelocity surface area (PISA) method and the American Society of Echocardiography (ASE)... BackgroundRecent studies have shown suboptimal results of the proximal isovelocity surface area (PISA) method and the American Society of Echocardiography... To evaluate the accuracy of regurgitant volume calculated by volumetric transthoracic echocardiography (RegVol_TTE) for diagnosing severe primary mitral... |
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SubjectTerms | Aged Algorithms Cardiac magnetic resonance imaging Cardiovascular Echocardiography Echocardiography - methods Echocardiography, Three-Dimensional - methods Female Humans Male Middle Aged Mitral regurgitation Mitral Valve - diagnostic imaging Mitral Valve - physiopathology Mitral Valve Insufficiency - diagnosis Mitral Valve Insufficiency - diagnostic imaging Mitral Valve Insufficiency - physiopathology Prospective Studies Regurgitant volume Reproducibility of Results Sensitivity and Specificity Severity of Illness Index Stroke Volume - physiology Volumetry |
Title | Calculation of Regurgitant Volume Using Echocardiographic Volumetric Method for Accurate Diagnosis of Severe Mitral Regurgitation |
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