Literature DB >> 23414723

What is the primary source of discordance in strain measurement between vendors: imaging or analysis?

Kazuaki Negishi1, Sean Lucas, Tomoko Negishi, Jamie Hamilton, Thomas H Marwick.   

Abstract

Strain imaging quantifies myocardial deformation in both overt and subclinical myocardial diseases. Strain values have been shown to vary between vendors. The aim of this study was to investigate whether this variation reflects differences of image characteristics or analysis software. We enrolled 45 patients (age 54 ± 14 years, 26 males) who underwent two echocardiograms on the same day with two different commercially available ultrasound systems. Three apical views were analyzed by two vendor-specific and two digital imaging and communications in medicine (DICOM)-based software packages. The results were compared in two ways; comparison of global longitudinal strain (GLS) by nine different combinations of ultrasound systems and strain software, and comparison of strains by wall, view and global levels. Comparison of GLS between two vendor-specific software packages yielded poor correlation (ρ = 0.35). The use of the same software on the images from different vendors was concordant (ρ = 0.74 and 0.64; bias = 0.0 and -0.5). There were no significant differences in correlation coefficients among the comparisons with DICOM-based software. There was no significant difference in correlation coefficients among three views (4CV vs. 3CV, p = 0.44; 4CV vs. 2CV, p = 0.47). Comparison of walls showed the septum to have the best correlation (ρ = 0.73), and the posterior wall (ρ = 0.31; p = 0.005 vs. septum) had the worst. Use of the same software to measure strain in images from different vendors minimizes the variation of GLS. Post-processing is the most important determinant in inter-vendor variation, with differences in acquisition having a small effect. These findings should be examined and confirmed with other combinations of ultrasound machines and deformation software.
Copyright © 2013 World Federation for Ultrasound in Medicine & Biology. Published by Elsevier Inc. All rights reserved.

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Year:  2013        PMID: 23414723     DOI: 10.1016/j.ultrasmedbio.2012.11.021

Source DB:  PubMed          Journal:  Ultrasound Med Biol        ISSN: 0301-5629            Impact factor:   2.998


  22 in total

1.  Feasibility and reproducibility of systolic right ventricular strain measurement by speckle-tracking echocardiography in premature infants.

Authors:  Philip Thaler Levy; Mark R Holland; Timothy J Sekarski; Aaron Hamvas; Gautam K Singh
Journal:  J Am Soc Echocardiogr       Date:  2013-07-20       Impact factor: 5.251

2.  Global left atrial strain in the prediction of sinus rhythm maintenance after catheter ablation for atrial fibrillation.

Authors:  Hirohiko Motoki; Kazuaki Negishi; Kenya Kusunose; Zoran B Popović; Mandeep Bhargava; Oussama M Wazni; Walid I Saliba; Mina K Chung; Thomas H Marwick; Allan L Klein
Journal:  J Am Soc Echocardiogr       Date:  2014-09-23       Impact factor: 5.251

Review 3.  Strain, strain rate, torsion, and twist: echocardiographic evaluation.

Authors:  Anders Opdahl; Thomas Helle-Valle; Helge Skulstad; Otto A Smiseth
Journal:  Curr Cardiol Rep       Date:  2015-03       Impact factor: 2.931

4.  Assessment of global longitudinal strain using standardized myocardial deformation imaging: a modality independent software approach.

Authors:  Johannes H Riffel; Marius G P Keller; Matthias Aurich; Yannick Sander; Florian Andre; Sorin Giusca; Fabian Aus dem Siepen; Sebastian Seitz; Christian Galuschky; Grigorios Korosoglou; Derliz Mereles; Hugo A Katus; Sebastian J Buss
Journal:  Clin Res Cardiol       Date:  2015-02-03       Impact factor: 5.460

Review 5.  Echocardiographic evaluation of cardiac function after cancer chemotherapy.

Authors:  Tomoko Negishi; Kazuaki Negishi
Journal:  J Echocardiogr       Date:  2017-07-11

Review 6.  Clinical Utility of Echocardiographic Strain and Strain Rate Measurements.

Authors:  Kawa Haji; Thomas H Marwick
Journal:  Curr Cardiol Rep       Date:  2021-02-16       Impact factor: 2.931

7.  Advantage and validation of vendor-independent software for myocardial strain analysis compared to vendor-specific software.

Authors:  Robert Chamberlain; Kenji Shiino; Gregory M Scalia; Surendran Sabapathy; Jonathan Chan
Journal:  Australas J Ultrasound Med       Date:  2020-10-14

Review 8.  Normal ranges of right ventricular systolic and diastolic strain measures in children: a systematic review and meta-analysis.

Authors:  Philip T Levy; Aura A Sanchez Mejia; Aliza Machefsky; Susan Fowler; Mark R Holland; Gautam K Singh
Journal:  J Am Soc Echocardiogr       Date:  2014-02-26       Impact factor: 5.251

9.  Effect of Temporal and Spatial Smoothing on Speckle-Tracking-Derived Strain in Neonates.

Authors:  Umael Khan; Tom R Omdal; Gottfried Greve; Ketil Grong; Knut Matre
Journal:  Pediatr Cardiol       Date:  2021-01-25       Impact factor: 1.655

10.  Association of Estimated Sodium Intake With Adverse Cardiac Structure and Function: From the HyperGEN Study.

Authors:  Senthil Selvaraj; Luc Djoussé; Frank G Aguilar; Eva E Martinez; Vincenzo B Polsinelli; Marguerite R Irvin; Donna K Arnett; Sanjiv J Shah
Journal:  J Am Coll Cardiol       Date:  2017-08-08       Impact factor: 24.094

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