Calleja Anna M, Jiamsripong Panupong, Alharthi Mohsen S, Cha Stephen, Cho Eun Joo, McMahon Eileen M, Mookadam Farouk, Khandheria Bijoy K, Belohlavek Marek
Translational Ultrasound Research Laboratory, Division of Cardiovascular Diseases, Mayo Clinic College of Medicine, Scottsdale, Arizona 85259, USA.
J Am Soc Echocardiogr. 2009 Sep;22(9):1031-9. doi: 10.1016/j.echo.2009.06.025. Epub 2009 Aug 8.
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.
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.
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.
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.