Accuracy of speckle tracking in the context of stress echocardiography in short axis view: An in vitro validation study

PLoS One. 2018 Mar 27;13(3):e0193805. doi: 10.1371/journal.pone.0193805. eCollection 2018.

Abstract

Aim: This study aimed to test the accuracy of a speckle tracking algorithm to assess myocardial deformation in a large range of heart rates and strain magnitudes compared to sonomicrometry.

Methods and results: Using a tissue-mimicking phantom with cyclic radial deformation, radial strain derived from speckle tracking (RS-SpT) of the upper segment was assessed in short axis view by conventional echocardiography (Vivid q, GE) and post-processed with clinical software (EchoPAC, GE). RS-SpT was compared with radial strain measured simultaneously by sonomicrometers (RS-SN). Radial strain was assessed with increasing deformation rates (60 to 160 beats/min) and increasing pulsed volumes (50 to 100 ml/beat) to simulate physiological changes occurring during stress echocardiography. There was a significant correlation (R2 = 0.978, P <0.001) and a close agreement (bias ± 2SD, 0.39 ± 1.5%) between RS-SpT and RS-SN. For low strain values (<15%), speckle tracking showed a small but significant overestimation of radial strain compared to sonomicrometers. Two-way analysis of variance did not show any significant effect of the deformation rate. For RS-SpT, the feasibility was excellent and the intra- and inter-observer variability were low (the intraclass correlation coefficients were 0.96 and 0.97, respectively).

Conclusions: Speckle tracking demonstrated a good correlation with sonomicrometry for the assessment of radial strain independently of the heart rate and strain magnitude in a physiological range of values. Though speckle tracking seems to be a reliable and reproducible technique to assess myocardial deformation variations during stress echocardiography, further studies are mandated to analyze the impact of angulated and artefactual out-of-plane motions and inter-vendor variability.

Publication types

  • Validation Study

MeSH terms

  • Algorithms*
  • Analysis of Variance
  • Echocardiography, Stress / instrumentation
  • Echocardiography, Stress / methods*
  • Gels
  • Heart / diagnostic imaging
  • Heart Rate
  • Humans
  • Image Processing, Computer-Assisted / methods*
  • Pattern Recognition, Automated / methods
  • Phantoms, Imaging
  • Reproducibility of Results
  • Software
  • Water

Substances

  • Gels
  • Water

Grants and funding

The authors received no specific funding for this work.