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Updated: Mar 9, 2026
Transthoracic Speckle Tracking Echocardiography for the Quantitative Assessment of Left Ventricular Myocardial Deformation
Published on: October 20, 2016
Study of the Relationship Between Left Ventricular Strain and the Gensini Score in Coronary Artery Disease by
Wei-Fang Lan1, Ting Mo2, Dong-Wei Xie2
1Department of Medical Ultrasonics, Guangxi Hospital Division of the First Affiliated Hospital, Sun Yat-Sen University, Nanning, China.
Objective:
To investigate the correlation between two-dimensional speckle tracking echocardiography (2D-STE) measurements and the Gensini score in coronary artery disease (CAD) patients, to explore the relationship between left ventricular (LV) strain and the severity of CAD, and to determine the predictive value of LV strain for CAD severity.
Methods:
A total of 128 CAD patients and 32 healthy controls were included. The severity of CAD was represented by the Gensini score on the basis of coronary artery angiography (CAG) findings. All the subjects underwent echocardiography for routine measurement of standard echocardiographic parameters and 2D-STE strain parameters. We further divided all patients into three groups according to the tertiles of the Gensini score: the mild group, with a Gensini score ≤ 16 (43 cases); the moderate group, with a Gensini score > 16 and ≤ 50 (41 cases); and the severe group, with a Gensini score > 50 points (44 cases).
Results:
The analyses revealed that global longitudinal strain (GLS), global circumferential strain (GCS), twist and torsion decreased significantly. Correlation analyses revealed positive correlations between GLS and GCS and the Gensini score (r = 0.741 and 0.562, respectively; p < 0.05). Whereas twist and torsion were negatively correlated with the Gensini score (r = -0.570 and -0.565, respectively; p < 0.05). The multiple stepwise regression analysis revealed that GLS and twist were independently associated with the Gensini score (all p < 0.001). Receiver operating characteristic (ROC) curve analysis of GLS and twist for predicting moderate to severe CAD yielded areas of 0.914 and 0.823, respectively, whereas that for the combination of the two parameters was 0.934. The optimal cut-off value for GLS was -18.85%.
Conclusion:
GLS and twist were independently correlated with the Gensini score. GLS showed greater discrimination, whereas the combination of GLS and twist yielded better performance in predicting CAD severity. Assessments of strain parameters appear to be feasible in the echocardiographic examination of CAD patients.
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