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Updated: Mar 5, 2026

Transthoracic Speckle Tracking Echocardiography for the Quantitative Assessment of Left Ventricular Myocardial Deformation
Published on: October 20, 2016
Normal Ranges of Left Atrial Strain by Speckle-Tracking Echocardiography: A Systematic Review and Meta-Analysis
Faraz Pathan1, Nicholas D'Elia1, Mark T Nolan1
1Menzies Institute for Medical Research, University of Tasmania, Hobart, Australia.
Background:
Recent advances in the assessment of myocardial function have facilitated the direct measurement of atrial function using speckle-tracking echocardiography. Currently, normal reference ranges for atrial function using speckle-tracking echocardiography are based on a few initial studies, with variations among modestly sized (n = 100-350) studies.
Methods:
The authors searched the PubMed, Embase, and Scopus databases for the key terms "left atrial/atrial/atrium" and "strain/function/deformation/stiffness" and "speckle tracking/Velocity Vector Imaging/edge tracking." Studies of global left atrial function using speckle-tracking were selected if they involved >30 normal or healthy participants without any cardiac risk factors. Normal ranges for reservoir strain, conduit strain, and contractile strain were computed using a random-effects model. Meta-regression and subgroup analysis was performed to explore between-study heterogeneity.
Results:
Forty studies (2,542 healthy subjects) satisfied the inclusion criteria. Meta-analysis revealed a normal reference range for reservoir strain of 39% (95% CI, 38%-41%, from 40 articles), for conduit strain of 23% (95% CI, 21%-25%, from 14 articles), and for contractile strain of 17% (95% CI, 16%-19%, from 18 articles). Meta-regression identified heart rate (P = .02) and body surface area (P = .003) as contributors to this heterogeneity. Subgroup analyses revealed heterogeneity due to sample size (n > 100 vs N < 100, P = .02).
Conclusions:
The normal reference ranges for the three components of left atrial function are demonstrated. The between-study heterogeneity is explained partly by heart rate, body surface area, and sample size.
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