Introduction: Left ventricular diastolic dysfunction is one of the important long-term survival and prognosis factors in patients with coronary heart disease. Objective: To evaluate the diastolic function of the left ventricle in patients with coronary heart disease (CHD) using 3D speckle tracking echocardiography (3D-STE). Methods: Full volume images of four apical cavities were collected, and 4D Auto LVQ software was used for offline analysis to obtain longitudinal strain (GLS), circumferential strain (GCS), area strain (GAS) and radial strain (GRS) of the left ventricle as a whole (four three-dimensional strain indicators). Results: The receiver operating characteristic (ROC) curve analysis showed that the sensitivity and specificity of GLS in predicting left ventricular diastolic dysfunction were both 68% at −15.5%. The sensitivity and specificity of GCS for predicting left ventricular diastolic dysfunction at −17.5% were 76% and 81%, and those of GAS at −29.5% were 84% and 68%, respectively. Conclusions: The strain parameters of 3D-STE can be used to predict LVEDP in patients with coronary heart disease with normal left ventricular ejection fraction, and can be used as a new ultrasonic diagnostic index to evaluate left ventricular diastolic function in patients. Level of evidence II; Therapeutic studies - investigation of treatment results.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2025 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.