My Approach to Right Ventricular Longitudinal Strain with Automated 2D and 3D Software

Abstract

Right ventricular strain analysis has emerged as an important diagnostic tool in the detection of early right ventricular systolic dysfunction not detected by conventional echocardiography techniques. Furthermore, it is capable of providing additional diagnostic and prognostic information to the traditional parameters for evaluating right ventricular systolic function in various pathologies. The echocardiography method of choice for its assessment is longitudinal strain derived from speckletracking. This method has been shown to be more sensitive for small changes in systolic function when compared to tricuspid annular plane systolic excursion, tissue Doppler imaging of the tricuspid annular s’ wave, and right ventricular fractional area change. Advances in artificial intelligence and software with automated analysis have been introduced to this scenario with the aim of making the method simpler and quicker to apply, with lower inter- and intra-observer variability. The objective of this review article is to demonstrate the technique step by step, from image optimization and acquisition to interpretation of results, with illustrative figures of selected cases.