Original articleAutomated Analysis of Strain Rate and Strain: Feasibility and Clinical Implications
Section snippets
Study population
The main study examined 30 patients (mean age 65 ± 9 years; 11 women) with a first myocardial infarction (17 inferior/13 anterior, 23 Q-wave, mean creatine kinase MB 266 μg/L, mean troponin T 7.4 μg/L) and 30 subjects (mean age 57 ± 12 years; 15 women) with normal ventricles, coronary angiography, and dobutamine stress echocardiography. Finally, to evaluate the influence of B-mode frame rate on undersampling and precision in speckle tracking (method 3), further analysis was done in 10 healthy
Feasibility data
In all, 799 segments (665 normal and 134 infarcted) were analyzed by all 4 methods. Between 20% and 25% of all segments analyzed using automated methods had to be discarded, compared with only 8% of segements analyzed manually (Table 1). Method 3 yielded the greatest number of analyzable segments for both SRs and Ses (81.5% and 80.3%, respectively) of the automated methods, but still fewer than manual analysis (92.3% and 90.3%, respectively) (Table 1). Feasibility was lowest in the lateral and
Discussion
The present study has demonstrated that automated analysis methods are feasible and faster than standard manual analysis, but they enable analysis of fewer segments. The automated methods still require some manual adjustments.
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Cited by (105)
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2023, Journal of Heart and Lung TransplantationAutomated Quantification in Echocardiography
2019, JACC: Cardiovascular ImagingCitation Excerpt :Advancements enabling high frame rate 2D images allowed successful implementation of semi-automated strain measurements using speckle tracking methods. This approach achieved accuracy similar to manual measurements and reduced analysis time by up to 82%, positioning semi-automated 2D speckle strain for better clinical uptake (40). Given that 2D speckle tracking–based strain analysis was introduced clinically as a semi-automated technique and was validated by using sonomicrometry (41), there is limited published data comparing the accuracy and reproducibility of automated versus manual methods (Table 3) (40,42–44).
Myocardial Strain Rate by Anatomic Doppler Spectrum: First Clinical Experience Using Retrospective Spectral Tissue Doppler from Ultra-High Frame Rate Imaging
2017, Ultrasound in Medicine and BiologyTissue Velocities and Myocardial Deformation in Asymptomatic and Symptomatic Aortic Stenosis
2015, Journal of the American Society of EchocardiographyPatterns of left ventricular longitudinal strain and strain rate in olympic athletes
2015, Journal of the American Society of EchocardiographyCitation Excerpt :Intraobserver variability showed intraclass correlation coefficients of 0.87 (95% CI, 0.67–0.95; P < .001) with a CV of 2.6 ± 2.0% for GLS, 0.70 (95% CI, 0.21–0.87; P = .007) with a CV of 2.6 ± 3.7% for SRS, 0.89 (95% CI, 0.72–0.96; P < .001) with a CV of 3.8 ± 3.1% for SRE, and 0.85 (95% CI, 0.61–0.94; P < .001) with a CV of 7.7 ± 7.6% for SRA. Two-dimensional speckle-tracking echocardiography allows the assessment of myocardial deformation through the cardiac cycle by following the motion of natural acoustic markers on grayscale B-mode images, in an angle-independent manner.7-10 Most notably, GLS and derived strain rate parameters can be measured, which have been shown to provide additional and valuable information beyond EF in different clinical scenarios, such as in subjects with coronary artery disease, heart failure, and cardiomyopathies.9,10,21,22
Automated, Objective and Expert-Independent Assessment of the Analyzability of Strain and Strain Rate in Tissue Doppler Images in Term Neonates by Analysis of Beat-to-Beat Variation
2014, Ultrasound in Medicine and BiologyCitation Excerpt :However, as much of the clutter and cavity noise is removed by the second harmonic analysis, there is not a direct correspondence between quality of the B-mode image and quality of tissue Doppler analysis. It has been customary to evaluate the quality of the curves visually, discarding segments where curves are not representative of the B-mode evaluation (Ingul et al. 2005). The BBV method provides a more objective criterion for this.
Supported by a grant from the Norwegian University of Science and Technology.
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Hans Torp and Asbjorn Stoylen have received honoraria from GE Vingmed for lecturing.