Predictors of shear wave propagation speed assessed by shear wave elastography

Abstract

Abstract Background Cardiac shear wave elastography (SWE) is a novel ultrasound-based method that assesses the propagation speed of shear waves travelling in the myocardium induced by e.g. mitral valve closure (MVC). The propagation speed of these waves is related to the stiffness of the myocardium. The capability of SWE to evaluate myocardial stiffness has already been demonstrated in several publications. However, which factors beside the intrinsic mechanical properties of the myocardium influence shear wave speed in vivo has not been extensively investigated. Purpose The aim of this study was to investigate the influence of clinical parameters as well as echocardiographic indicators of myocardial tissue properties and left ventricular (LV) filling pressures on shear wave propagation speed after MVC. Methods 219 subjects (59±17 years; 140 males) were included in the study. Of those, 49 were healthy volunteers, 25 were patients with cardiac amyloidosis, 42 with hypertrophic cardiomyopathy, 35 with hypertensive heart disease and 68 with coronary artery disease. Subjects were scanned with an experimental ultrasound scanner using diverging wave imaging to acquire images at a high temporal resolution (average frame rate: 1167±414 Hz). Shear waves after MVC were visualized on M-mode maps along the interventricular septum which were colour coded for tissue acceleration (Figure 1). The propagation speed was calculated by semi-automatically measuring the spatiotemporal slope of the shear wave. Univariate and multivariate linear regression analysis was performed to identify variables associated with shear wave propagation speed. Results Univariate regression analysis revealed an association of the following variables with shear wave speed: age, BMI, systolic blood pressure, E wave, average e', E/e', left atrial volume index (LAVI), grade of diastolic dysfunction, isovolumic relaxation time, septal wall thickness, LV wall mass and presence of cardiomyopathy. These variables were added to a multivariate model. Predictors of shear wave speed after MVC were BMI, E wave, average e', LAVI, LV wall mass and presence of cardiomyopathy (R2=0.53) (Table 1). Conclusions The results of this study indicate that both myocardial structural properties (reflected by predictors LV wall mass and presence of cardiomyopathy) and LV filling pressures (reflected by predictors E wave, average e' and LAVI) affect shear wave speed. These findings suggest that SWE has the potential to assess structural as well as functional changes to the LV, which should be further explored. Funding Acknowledgement Type of funding sources: Public grant(s) – National budget only. Main funding source(s): Research foundation Flanders - FWO