Literature DB >> 19665866

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

Anna M Calleja1, Panupong Jiamsripong, Mohsen S Alharthi, Stephen Cha, Eun Joo Cho, Eileen M McMahon, Farouk Mookadam, Bijoy K Khandheria, Marek Belohlavek.   

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.

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Year:  2009        PMID: 19665866     DOI: 10.1016/j.echo.2009.06.025

Source DB:  PubMed          Journal:  J Am Soc Echocardiogr        ISSN: 0894-7317            Impact factor:   5.251


  2 in total

1.  Speckle-tracking echocardiographic imaging of the right ventricular systolic and diastolic parameters in chronic exercise.

Authors:  Ziya Simsek; M Hakan Tas; Ersin Gunay; Husnu Degirmenci
Journal:  Int J Cardiovasc Imaging       Date:  2013-03-12       Impact factor: 2.357

2.  Does Nasal Surgery Affect Right Ventricular Myocardial Functions at the Tissue Level in Patients with Nasal Septum Deviation?

Authors:  Ziya Simsek; Eda Simsek
Journal:  J Clin Med       Date:  2018-07-27       Impact factor: 4.241

  2 in total

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