Original Article

Assessment of Physical and Mechanical Parameters of the Left Ventricle by Speckle Tracking Technique for Prediction Coronary Artery Disease Patients

Abstract

Purpose: The goal of the study was to identify earlier pathology of the Left Ventricle (LV) using Speckle Tracking Echocardiography (STE) without angiography results for detecting Coronary Artery Disease (CAD) patients who have need invasive coronary reperfusion.

Materials and Methods: A total of seventy-five referral patients to angiography (mean age 57±9 years) with chest pain, underwent Two-Dimensional Echocardiography (2D-ECG). Conventional echocardiographic parameters were calculated for the assessment of LV function. End systole and early diastole longitudinal strain, strain rate, and velocity with 2D-STE were estimated to evaluate myocardial function. Discriminated analysis was performed to detect CAD patients from the healthy group.

Results: According to the angiography results, patients were divided into CAD group (n=55) and healthy group (n=20). There was a significant decrease in longitudinal strain, strain rate, and velocity in patients with CAD compared to the healthy group (systolic longitudinal strain for CAD group -15.9±2.2% vs. -19.6±2.2% for healthy group and early diastolic longitudinal strain for CAD patients -9.5±1.2% vs. -12.0±1.3% for the healthy group) (P-value<0.05). Discriminate analysis of end-systolic and early diastolic longitudinal strain with 81.8% and 89.1% indicated the highest sensitivity, respectively.

Conclusions: End systolic and early diastolic longitudinal strain parameters derived with the STE method are superior predictors for detecting CAD patients referred to angiography for revascularization.

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IssueVol 9 No 3 (2022) QRcode
SectionOriginal Article(s)
DOI https://doi.org/10.18502/fbt.v9i3.9647
Keywords
Strain Strain Rate Speckle Tracking Echocardiography

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1.
Ahmadi ZA, Mokhtari Dizaji M, Sadeghpour A, Khesali H, Firouzi A. Assessment of Physical and Mechanical Parameters of the Left Ventricle by Speckle Tracking Technique for Prediction Coronary Artery Disease Patients. Frontiers Biomed Technol. 2022;9(3):206-213.