Application of a Novel Two-Dimensional Echocardiographic Calcium Quantification Method to Assess All Severities of Aortic Stenosis
Aortic valve (AV) calcification (AVC) is a strong predictor of aortic stenosis (AS) severity. The two-dimensional AVC (2D-AVC) ratio, a gain-independent ratio composed of the average pixel density of the AV and the aortic annulus, has previously shown strong correlations with two-dimensional (2D) ec...
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Published in: | Journal of the American Society of Echocardiography Vol. 36; no. 1; pp. 69 - 76 |
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Abstract | Aortic valve (AV) calcification (AVC) is a strong predictor of aortic stenosis (AS) severity. The two-dimensional AVC (2D-AVC) ratio, a gain-independent ratio composed of the average pixel density of the AV and the aortic annulus, has previously shown strong correlations with two-dimensional (2D) echocardiographic hemodynamic parameters for severe AS and AVC by cardiac computed tomography. We hypothesize that the 2D-AVC ratio correlates with hemodynamic parameters in all severities of AS.
A total of 285 patients with a normal AV (n = 49), aortic sclerosis (n = 75), or mild (n = 38), moderate (n = 72), or severe (n = 51) AS undergoing 2D echocardiography were retrospectively evaluated, and the 2D-AVC ratios were correlated to mean AV gradient, peak AV velocity, AV area, and dimensionless index. The 2D-AVC ratios of various AS severities were compared against each other via area under the curve (AUC) analysis.
The 2D-AVC ratio is strongly correlated with mean AV gradient (r = 0.79, P < .0001) and peak AV velocity (r = 0.78, P < .0001). There was moderate correlation with the AV area (r = –0.58, P < .0001) and dimensionless index (r = –0.67, P < .0001) across all AS severities. The 2D-AVC ratio also distinguished nonmoderate AS (mild AS + normal AV) from moderate or greater (moderate + severe) AS (AUC = 0.93) and moderate versus severe AS (AUC = 0.88).
The 2D-AVC ratio exhibits moderate to strong correlation with 2D echocardiographic hemodynamic parameters across all severities of AS.
•The 2D-AVC ratio is a novel marker of echocardiographic valvular calcium burden.•The 2D-AVC ratio correlates with echocardiographic hemodynamic parameters in AS.•The 2D-AVC ratio can accurately differentiate between severe and nonsevere AS. |
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AbstractList | BACKGROUNDAortic valve (AV) calcification (AVC) is a strong predictor of aortic stenosis (AS) severity. The two-dimensional AVC (2D-AVC) ratio, a gain-independent ratio composed of the average pixel density of the AV and the aortic annulus, has previously shown strong correlations with two-dimensional (2D) echocardiographic hemodynamic parameters for severe AS and AVC by cardiac computed tomography. We hypothesize that the 2D-AVC ratio correlates with hemodynamic parameters in all severities of AS. METHODSA total of 285 patients with a normal AV (n = 49), aortic sclerosis (n = 75), or mild (n = 38), moderate (n = 72), or severe (n = 51) AS undergoing 2D echocardiography were retrospectively evaluated, and the 2D-AVC ratios were correlated to mean AV gradient, peak AV velocity, AV area, and dimensionless index. The 2D-AVC ratios of various AS severities were compared against each other via area under the curve (AUC) analysis. RESULTSThe 2D-AVC ratio is strongly correlated with mean AV gradient (r = 0.79, P < .0001) and peak AV velocity (r = 0.78, P < .0001). There was moderate correlation with the AV area (r = -0.58, P < .0001) and dimensionless index (r = -0.67, P < .0001) across all AS severities. The 2D-AVC ratio also distinguished nonmoderate AS (mild AS + normal AV) from moderate or greater (moderate + severe) AS (AUC = 0.93) and moderate versus severe AS (AUC = 0.88). CONCLUSIONThe 2D-AVC ratio exhibits moderate to strong correlation with 2D echocardiographic hemodynamic parameters across all severities of AS. Aortic valve (AV) calcification (AVC) is a strong predictor of aortic stenosis (AS) severity. The two-dimensional AVC (2D-AVC) ratio, a gain-independent ratio composed of the average pixel density of the AV and the aortic annulus, has previously shown strong correlations with two-dimensional (2D) echocardiographic hemodynamic parameters for severe AS and AVC by cardiac computed tomography. We hypothesize that the 2D-AVC ratio correlates with hemodynamic parameters in all severities of AS. A total of 285 patients with a normal AV (n = 49), aortic sclerosis (n = 75), or mild (n = 38), moderate (n = 72), or severe (n = 51) AS undergoing 2D echocardiography were retrospectively evaluated, and the 2D-AVC ratios were correlated to mean AV gradient, peak AV velocity, AV area, and dimensionless index. The 2D-AVC ratios of various AS severities were compared against each other via area under the curve (AUC) analysis. The 2D-AVC ratio is strongly correlated with mean AV gradient (r = 0.79, P < .0001) and peak AV velocity (r = 0.78, P < .0001). There was moderate correlation with the AV area (r = –0.58, P < .0001) and dimensionless index (r = –0.67, P < .0001) across all AS severities. The 2D-AVC ratio also distinguished nonmoderate AS (mild AS + normal AV) from moderate or greater (moderate + severe) AS (AUC = 0.93) and moderate versus severe AS (AUC = 0.88). The 2D-AVC ratio exhibits moderate to strong correlation with 2D echocardiographic hemodynamic parameters across all severities of AS. •The 2D-AVC ratio is a novel marker of echocardiographic valvular calcium burden.•The 2D-AVC ratio correlates with echocardiographic hemodynamic parameters in AS.•The 2D-AVC ratio can accurately differentiate between severe and nonsevere AS. Aortic valve (AV) calcification (AVC) is a strong predictor of aortic stenosis (AS) severity. The two-dimensional AVC (2D-AVC) ratio, a gain-independent ratio composed of the average pixel density of the AV and the aortic annulus, has previously shown strong correlations with two-dimensional (2D) echocardiographic hemodynamic parameters for severe AS and AVC by cardiac computed tomography. We hypothesize that the 2D-AVC ratio correlates with hemodynamic parameters in all severities of AS. A total of 285 patients with a normal AV (n = 49), aortic sclerosis (n = 75), or mild (n = 38), moderate (n = 72), or severe (n = 51) AS undergoing 2D echocardiography were retrospectively evaluated, and the 2D-AVC ratios were correlated to mean AV gradient, peak AV velocity, AV area, and dimensionless index. The 2D-AVC ratios of various AS severities were compared against each other via area under the curve (AUC) analysis. The 2D-AVC ratio is strongly correlated with mean AV gradient (r = 0.79, P < .0001) and peak AV velocity (r = 0.78, P < .0001). There was moderate correlation with the AV area (r = -0.58, P < .0001) and dimensionless index (r = -0.67, P < .0001) across all AS severities. The 2D-AVC ratio also distinguished nonmoderate AS (mild AS + normal AV) from moderate or greater (moderate + severe) AS (AUC = 0.93) and moderate versus severe AS (AUC = 0.88). The 2D-AVC ratio exhibits moderate to strong correlation with 2D echocardiographic hemodynamic parameters across all severities of AS. |
Author | Kansal, Mayank Krishna, Hema Twing, Aamir Desai, Kevin Frazin, Leon Slostad, Brody |
Author_xml | – sequence: 1 givenname: Kevin surname: Desai fullname: Desai, Kevin organization: Department of Medicine, University of Illinois at Chicago, Chicago, Illinois – sequence: 2 givenname: Brody surname: Slostad fullname: Slostad, Brody organization: Department of Cardiology, University of Illinois at Chicago, Chicago, Illinois – sequence: 3 givenname: Aamir surname: Twing fullname: Twing, Aamir organization: Department of Medicine, University of Illinois at Chicago, Chicago, Illinois – sequence: 4 givenname: Hema surname: Krishna fullname: Krishna, Hema organization: Department of Cardiology, University of Illinois at Chicago, Chicago, Illinois – sequence: 5 givenname: Leon surname: Frazin fullname: Frazin, Leon organization: Department of Cardiology, University of Illinois at Chicago, Chicago, Illinois – sequence: 6 givenname: Mayank orcidid: 0000-0003-2552-8744 surname: Kansal fullname: Kansal, Mayank email: mmkansal@uic.edu organization: Department of Cardiology, University of Illinois at Chicago, Chicago, Illinois |
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Cites_doi | 10.1007/s10753-012-9579-6 10.1371/journal.pone.0148904 10.1111/j.1540-8175.2007.00575.x 10.1016/S0002-9149(99)00643-8 10.1016/j.echo.2017.02.009 10.1016/j.echo.2018.06.004 10.1016/j.amjcard.2016.06.039 10.1378/chest.113.2.482 10.1056/NEJM200008313430903 10.1016/j.jacc.2013.08.1621 10.1016/S0735-1097(96)00563-3 10.1161/01.CIR.95.9.2262 10.1161/CIRCIMAGING.117.006760 10.1136/heartjnl-2011-300137 10.1161/JAHA.114.000879 10.1161/CIRCRESAHA.116.309306 10.1016/j.echo.2017.04.009 10.1016/j.echo.2015.02.016 10.1016/j.echo.2018.05.012 10.1016/j.amjmed.2010.10.012 10.1056/NEJMoa022831 10.3390/ijms21165620 10.1093/eurheartj/ehv560 10.1097/01.mol.0000137229.00020.fe |
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Keywords | Aortic stenosis EF TTE DI AVA LVOT MDCT AV MnG AVC Adult echocardiography AUC Valvular heart disease 2D AS AV AV Vmax |
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Snippet | Aortic valve (AV) calcification (AVC) is a strong predictor of aortic stenosis (AS) severity. The two-dimensional AVC (2D-AVC) ratio, a gain-independent ratio... BACKGROUNDAortic valve (AV) calcification (AVC) is a strong predictor of aortic stenosis (AS) severity. The two-dimensional AVC (2D-AVC) ratio, a... |
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SubjectTerms | Adult echocardiography Aortic stenosis Aortic Valve - diagnostic imaging Aortic Valve Stenosis - diagnostic imaging Calcium Echocardiography Humans Multidetector Computed Tomography - methods Retrospective Studies Severity of Illness Index Valvular heart disease |
Title | Application of a Novel Two-Dimensional Echocardiographic Calcium Quantification Method to Assess All Severities of Aortic Stenosis |
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