A pairwise meta-analytic comparison of aortic valve area determined by planimetric versus hemodynamic methods in aortic stenosis

Int J Cardiol. 2021 Jan 1:322:77-85. doi: 10.1016/j.ijcard.2020.09.003. Epub 2020 Sep 9.

Abstract

Background: Aortic valve area (AVA) is commonly determined from 2-dimensional transthoracic echocardiography (2D TTE) by the continuity equation; however, this method relies on geometric assumptions of the left ventricular outflow tract which may not hold true. This study compared mean differences and correlations for AVA by planimetric (2-dimensional transesophageal echocardiography [2D TEE], 3-dimensional transesophageal echocardiography [3D TEE], 3-dimensional transthoracic echocardiography [3D TTE], multi-detector computed tomography [MDCT], and magnetic resonance imaging [MRI]) with hemodynamic methods (2D TTE and catheterization) using pairwise meta-analysis.

Method: Ovid MEDLINE®, Ovid EMBASE, and The Cochrane Library (Wiley) were queried for studies comparing AVA measurements assessed by planimetric and hemodynamic techniques. Pairwise meta-analysis for mean differences (using random effect model) and for correlation coefficients (r) were performed.

Results: Forty-five studies (3014 patients) were included. Mean differences between planimetric and hemodynamic techniques were 0.12 cm2 (95%CI 0.10-0.15) for AVA (pooled r = 0.84; 95%CI 0.76-0.90); 1.36cm2 (95%CI 1.03-1.69) for left ventricular outflow tract area; and 0.13 cm (95%CI 0.07-0.20) for annular diameter (pooled r = 0.76; 95% CI 0.64-0.94); 0.67 cm2 (95%CI 0.59-0.76) for annular area (pooled r = 0.74; 95%CI 0.55-0.86).

Conclusions: Planimetric techniques slightly, but significantly, overestimate AVA when compared to hemodynamic techniques.

Keywords: Aortic stenosis; Aortic valve area; Imaging.

Publication types

  • Meta-Analysis

MeSH terms

  • Aortic Valve / diagnostic imaging
  • Aortic Valve Stenosis* / diagnostic imaging
  • Echocardiography, Three-Dimensional*
  • Echocardiography, Transesophageal
  • Hemodynamics
  • Humans
  • Reproducibility of Results