Artificial Intelligence for Reconstruction of Echocardiography Studies

To investigate the clinical utility of both 3D and 2D artificial intelligence reconstruction echocardiography (V-echo and L-echo) assessment against conventional echocardiography and clinical cardiovascular magnetic resonance (CMR) imaging for the characterisation of cardiac function and detection of cardiotoxicity in patients receiving chemotherapy.

Diagnostic accuracy of V-echo and L-echo for quantification of cardiac chamber sizes and systolic function (left ventricular ejection fraction (LVEF) and strain analyses) versus conventional echocardiography (C-echo) and CMR; workflow measures including imaging temporal measures of image acquisition, registration and analysis versus conventional approaches; survey of markers of acceptability by patients and sonographers; cost effectiveness analysis of V-echo and L-echo versus conventional echocardiography; assessment of the relationship between 3D strain parameters derived from V-echo data, 2D strain parameters derived from L-echo and correlation with conventional markers of cardiac function, namely LVEF and global longitudinal strain.