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

12 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
Pages (from-to)1031-1039
Number of pages9
JournalJournal of the American Society of Echocardiography
Volume22
Issue number9
DOIs
StatePublished - Sep 2009

Bibliographical note

Funding Information:
Dr Belohlavek's research is funded in part by GE Healthcare (Milwaukee, WI).

Keywords

  • Automated strain imaging
  • Longitudinal strain
  • Right ventricular function

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