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November 6, 2011European Heart Journal - Cardiovascular Imaging14 citationsOpen Access

Use of an automatic application for wall motion classification based on longitudinal strain: is it affected by operator expertise in echocardiography? A multicentre study by the Israeli Echocardiography Research Group

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DBDavid S. BlondheimTechnion – Israel Institute of TechnologyZFZeev FriedmanMount Sinai HospitalPLPeter LysyanskyTurkish Aerospace Industries (Turkey)

Structured PICO

Does an automatic application for wall motion classification based on longitudinal strain provide similar accuracy when used by inexperienced versus experienced echocardiographers?

P
Population
105 patients with digitized clips of cardiac cycles from three apical views, evaluated by 12 highly experienced readers (Exp-R) and 11 inexperienced readers (InExp-R)
I
Intervention
Automatic application for wall motion classification based on longitudinal 2D strain used by inexperienced readers
C
Comparator
Automatic application used by experienced readers, and expert consensus classifications using the standard visual method
O
Outcome
Reproducibility, concordance, sensitivity, specificity, and accuracy of wall motion classificationsurrogate

An automated application for wall motion classification based on longitudinal strain provides high diagnostic accuracy independent of the echocardiographer's experience level.

Abstract

AIMS: Assessing the quality of wall motion (WM) on echocardiograms remains a challenge. Previously, we validated an automated application used by experienced echocardiographers for WM classification based on longitudinal two-dimensional (2D) strain. The aim of this study was to show that the use of this automatic application was independent of the user's experience. METHODS AND RESULTS: We compared the WM classifications obtained by the application when used by 12 highly experienced readers (Exp-R) vs. 11 inexperienced readers (InExp-R). Both classifications were compared with expert consensus classifications using the standard visual method. Digitized clips of cardiac cycles from three apical views in 105 patients were used for these analyses. Reproducibility of both groups was high (overall intra-class correlation coefficient: InExp-R = 0.89, Exp-R = 0.83); the lowest was noted for hypokinetic segments (InExp-R = 0.79, Exp-R = 0.72). InExp-R scores were concordant with Exp-R mode scores in 88.8% of segments; they were overestimated in 5.8% and underestimated in 3.2%. The sensitivity, specificity, and accuracy of InExp-R vs. Exp-R for classifying segments as normal/abnormal were identical (87, 85, and 86%, respectively). CONCLUSION: Classification of WM from apical views with an automatic application based on longitudinal 2D strain by InExp-R vs. Exp-R was similar to visual classification by Exp-R. This application may be useful for inexperienced echocardiographers/technicians and may serve as an automated 'second opinion' for experienced echocardiographers.

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Cite This Study

Blondheim et al. (2011) studied this question.

synapsesocial.com/papers/6a0f9ef6006d7a1de4a2f9b3https://doi.org/10.1093/ejechocard/jer182
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