Abstract
Aims: Assessing the quality ofwallmotion(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 studywas to showthat the use of this automatic applicationwas 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. Published on behalf of the European Society of Cardiology. All rights reserved.
Original language | English |
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Pages (from-to) | 257-262 |
Number of pages | 6 |
Journal | European Heart Journal Cardiovascular Imaging |
Volume | 13 |
Issue number | 3 |
DOIs | |
State | Published - 1 Mar 2012 |
Keywords
- Automated scoring
- Echocardiography
- Segmental strain
- Speckle tracking
- Wall motion analysis
ASJC Scopus subject areas
- Radiology Nuclear Medicine and imaging
- Cardiology and Cardiovascular Medicine