Three-Dimensional Speckle-Tracking Echocardiography-Derived Left Ventricular Volumes Show No Associations with Mitral Annular Plane Systolic Excursion in Healthy Adults (Findings from the MAGYAR-Healthy Study)

Introduction. Left ventricular (LV) function can be characterized by numerous parameters, the most well-known being the ejection fraction (EF), derived from LV end-systolic and end-diastolic volumes (ESV and EDV, respectively) throughout the cardiac cycle. M-mode echocardiography (MME-)-based determination of the longitudinal displacement of the mitral annulus (MA plane systolic excursion, MAPSE) remains a simpler and more practical parameter for assessing LV function in daily clinical routine. Although the relationships between MAPSE, LV deformation and LV rotational mechanics are well-established in healthy individuals, it remains unclear whether MAPSE also correlates with LV volumes themselves. To address this, the associations between LV-ESV and LV-EDV and MAPSE in a healthy cohort were investigated, exploring how these variables relate across average, sub-average, and above-average ranges. Methods. The present cohort study enrolled 115 healthy adult volunteers (mean age: 35.3 ± 12.1 years; 68 men). Complete two-dimensional (2D) Doppler echocardiography with MAPSE assessment and 3DSTE-derived measurement of LV volumes was performed in all cases. Results. Both end-diastolic and end-systolic LV diameters and volumes tended to be higher in individuals with lower- or higher-than-average MAPSE compared to those with average MAPSE. These differences reached statistical significance for 2D echocardiography-derived LV end-systolic diameter and volume, as well as for 3DSTE-derived LV-EDV and LV-ESV. MAPSE remained consistent regardless of the degree of LV-EDV and LV-ESV. No significant correlations were observed between MAPSE and LV-EDV or LV-ESV. Conclusions. LV longitudinal shortening, as represented by MAPSE, is not associated with 3DSTE-derived LV volumes in healthy adults. However, the observed lack of association may not necessarily reflect true physiological independence, but could instead result from limited statistical power, measurement variability, or model misspecification.