Why the study?
Clinical use of strain echocardiography for early risk stratification in suspected NSTEMI is hampered by time-consuming manual measurements.
Does automated tissue Doppler imaging predict acute coronary occlusion in patients with suspected NSTEMI compared to speckle tracking echocardiography?
Does automated tissue Doppler imaging predict acute coronary occlusion in patients with suspected NSTEMI compared to speckle tracking echocardiography?
Automated tissue Doppler imaging failed to identify acute coronary occlusion in suspected NSTEMI patients, whereas semi-automatic speckle tracking echocardiography successfully differentiated occluded from non-occluded territories.
Automated TDI strain analysis fails to detect coronary occlusion in suspected NSTEMI; leaves open need for refined algorithms before clinical use.
PURPOSE: Identification of regional dysfunction is important for early risk stratification in patients with suspected non-ST-elevation myocardial infarction (NSTEMI). Strain echocardiography enables quantification of segmental myocardial deformation. However, the clinical use is hampered by time-consuming manual measurements. We aimed to evaluate whether an in-house developed software for automated analysis of segmental myocardial deformation based on tissue Doppler imaging (TDI) could predict coronary occlusion in patients with suspected NSTEMI. METHODS: Eighty-four patients with suspected NSTEMI were included in the analysis. Echocardiography was performed at admission. Strain, strain rate and post-systolic shortening index (PSI) were analyzed by the automated TDI-based tool and the ability to predict coronary occlusion was assessed. For comparison, strain measurements were performed both by manual TDI-based analyses and by semi-automatic speckle tracking echocardiography (STE). All patients underwent coronary angiography. RESULTS: Seventeen patients had an acute coronary occlusion. Global strain and PSI by STE were able to differentiate occluded from non-occluded culprit lesions (respectively - 15.0% vs. -17.1%, and 8.1% vs. 5.1%, both p-values < 0.05) and identify patients with an acute coronary occlusion (AUC 0.66 for both strain and PSI). Measurements of strain, strain rate and PSI based on TDI were not significantly different between occluded and non-occluded territories. CONCLUSION: Automated measurements of myocardial deformation based on TDI were not able to identify acute coronary occlusion in patients with suspected NSTEMI. However, this study confirms the potential of strain by STE for early risk stratification in patients with chest pain.
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Halvorsrød et al. (2023) studied this question.
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