Reliability and feasibility of automated function imaging for quantification in patients with left ventricular...

Automated function imaging (AFI, GE Healthcare) is a novel promising algorithm of speckle-tracking echocardiography that combines two-dimensional strain and AI technology. It shortens the analysis time, saves the cost associated with streamlining of image acquisition, rapid analysis, and reporting, and has greater accuracy and reproducibility of measurements. This study aimed to evaluate the reliability and feasibility of AFI for the quantification of left ventricular (LV) volumes and function in patients with LV dilation by comparison with CMR. We retrospectively studied 50 patients with LV dilation on echocardiography whom both underwent CMR and coronary angiography within three days. LV volumes, ejection fraction (EF), and global longitudinal strain (GLS) were measured from 3 long-axis cine-views via the AFI technique in two modes: without editing (auto-AFI) and with partial border editing (semi-auto-AFI). The LV volumes and EF were also measured with 2D Simpson's biplane method, and CMR, as the standard method, was used for comparison. The AFI method still had significantly underestimated the LV volumes compared with CMR (P<0.01), but there were no significant differences between the AFI method and the conventional Simpson's biplane method. There were no significant differences in EF between CMR and the AFI method with good correlations (auto-AFI: r = 0.81, semi-auto-AFI: r = 0.86). The auto-AFI method provided the most rapid analysis and excellent reproducibility, while the semi-auto-AFI method further improved measurement accuracy. However, there were no significant differences in LV volumes and EF between these two AFI methods. The accuracy of AFI seems to be more affected by the image quality than the left ventricular morphology.  AFI enables accurate, efficient, and rapid evaluation of LV volumes and EF in patients with dilated LV, with good reproducibility and correlations with CMR.