Correlation of automated function imaging (AFI) to conventional strain analyses of regional and global right ventricular function

J Am Soc Echocardiogr. 2009 Sep;22(9):1031-9. doi: 10.1016/j.echo.2009.06.025. Epub 2009 Aug 8.

Abstract

Background: Automated function imaging is a software tool available to facilitate the efficiency of workflow when analyzing left ventricular strain. In this study, automated function imaging was compared with a conventional approach for the analysis of right ventricular strain in normal and pressure-overloaded right ventricles.

Methods: Twelve pigs were subjected to graded acute right ventricular systolic pressure overload. Intraclass and interclass correlation coefficients (ICCs) with 95% confidence intervals were used for statistical evaluation, with grading based on the kappa statistic as follows: ICC >0.75 = excellent, 0.4 to 0.75 = good, and <0.40 = poor.

Results: Intraobserver and interobserver variability for both regional and global strains consistently ranged from good to excellent (ICC, 0.50-0.99), with good agreement between the conventional and automated methods.

Conclusion: Automated function imaging correlates well with conventional strain analysis of the right ventricle. Automated function imaging is a practical tool for measuring regional and global longitudinal strain in both normal and pressure-overloaded right ventricles.

Publication types

  • Comparative Study
  • Evaluation Study
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Algorithms
  • Animals
  • Artificial Intelligence
  • Echocardiography / methods*
  • Elasticity Imaging Techniques / methods*
  • Heart Ventricles / diagnostic imaging*
  • Image Interpretation, Computer-Assisted / methods*
  • Pattern Recognition, Automated / methods*
  • Reproducibility of Results
  • Sensitivity and Specificity
  • Statistics as Topic
  • Swine
  • Ventricular Dysfunction, Right / diagnostic imaging*
  • Ventricular Dysfunction, Right / physiopathology*