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Intervendor Differences in the Accuracy of Detecting Regional Functional Abnormalities

Authors :
Oana Mirea
Efstathios D. Pagourelias
Jurgen Duchenne
Jan Bogaert
James D. Thomas
Luigi P. Badano
Jens-Uwe Voigt
Jamie Hamilton
Stefano Pedri
Peter Lysyansky
Gunnar Hansen
Yasuhiro Ito
Tomoaki Chono
Jane Vogel
David Prater
Sungwook Park
Jin Yong Lee
Helene Houle
Bogdan Georgescu
Rolf Baumann
Bernhard Mumm
Yashuhiko Abe
Willem Gorissen
Source :
JACC: Cardiovascular Imaging. 11:25-34
Publication Year :
2018
Publisher :
Elsevier BV, 2018.

Abstract

Objectives The purpose of this study was to compare the accuracy of vendor-specific and independent strain analysis tools to detect regional myocardial function abnormality in a clinical setting. Background Speckle tracking echocardiography has been considered a promising tool for the quantitative assessment of regional myocardial function. However, the potential differences among speckle tracking software with regard to their accuracy in identifying regional abnormality has not been studied extensively. Methods Sixty-three subjects (5 healthy volunteers and 58 patients) were examined with 7 different ultrasound machines during 5 days. All patients had experienced a previous myocardial infarction, which was characterized by cardiac magnetic resonance with late gadolinium enhancement. Segmental peak systolic (PS), end-systolic (ES) and post-systolic strain (PSS) measurements were obtained with 6 vendor-specific software tools and 2 independent strain analysis tools. Strain parameters were compared between fully scarred and scar-free segments. Receiver-operating characteristic curves testing the ability of strain parameters and derived indexes to discriminate between these segments were compared among vendors. Results The average strain values calculated for normal segments ranged from −15.1% to −20.7% for PS, −14.9% to −20.6% for ES, and −16.1% to −21.4% for PSS. Significantly lower values of strain (p Conclusions The accuracy of identifying regional abnormality differs significantly among vendors.

Details

ISSN :
1936878X
Volume :
11
Database :
OpenAIRE
Journal :
JACC: Cardiovascular Imaging
Accession number :
edsair.doi...........561129c6fbdd325e12289c8aa09e926c
Full Text :
https://doi.org/10.1016/j.jcmg.2017.02.014