Correlation of Automated Function Imaging (AFI) to Conventional Strain Analyses of Regional and Global Right Ventricular Function

Anna M. Calleja, Panupong Jiamsripong, Mohsen S. Alharthi, Stephen Cha, Eun Joo Cho, Eileen M. McMahon, Farouk Mookadam, Bijoy K. Khandheria, Marek Belohlavek

Research output: Contribution to journalArticlepeer-review

8 Scopus citations

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 κ 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.

Original languageEnglish (US)
Pages (from-to)1031-1039
Number of pages9
JournalJournal of the American Society of Echocardiography
Volume22
Issue number9
DOIs
StatePublished - Sep 1 2009

Keywords

  • Automated strain imaging
  • Longitudinal strain
  • Right ventricular function

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging
  • Cardiology and Cardiovascular Medicine

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