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Updated: Jun 21, 2026

Transthoracic Speckle Tracking Echocardiography for the Quantitative Assessment of Left Ventricular Myocardial Deformation
Published on: October 20, 2016
Radial deformation by tissue Doppler imaging in multiple myocardial layers
Einar Skulstad Davidsen1, Christian Arvei Moen, Knut Matre
1Department of Heart Disease, Haukeland University Hospital, Bergen, Norway. einar.davidsen@helse-bergen.no
This study demonstrates the feasibility of measuring myocardial strain in multiple layers using 2D tissue Doppler imaging in healthy humans. These findings suggest potential for diagnosing non-transmural heart disease.
Area of Science:
- Cardiology
- Medical Imaging
- Biomedical Engineering
Background:
- Assessing myocardial strain in distinct layers is crucial for diagnosing non-transmural heart conditions.
- Previous studies lacked demonstration of feasibility and optimal settings for multi-layer strain measurement in humans.
Purpose of the Study:
- To demonstrate the feasibility of measuring myocardial strain in multiple layers using 2D tissue Doppler imaging (TDI) in healthy humans.
- To define optimal machine settings for accurate multi-layer strain assessment.
Main Methods:
- 2D TDI of the left ventricular inferior wall was performed in 23 healthy subjects.
- Images were acquired using six different machine settings.
- Velocity, strain rate, and strain were measured in two and three myocardial layers.
Main Results:
- Significant differences in subendocardial versus subepicardial strain were observed in two-layer measurements (p<0.003).
- Maximal strain differences were noted with minimal radial and maximal lateral averaging.
- Three-layer measurements showed distinct strain values for subendocardial, midmyocardial, and subepicardial layers (p <0.05).
Conclusions:
- Feasible measurement of radial velocity, strain rate, and strain in up to three myocardial layers is demonstrated in healthy individuals.
- The diagnostic potential of this multi-layer strain assessment warrants further investigation in patient cohorts.
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