Abstract Background Tetralogy of Fallot (ToF) accounts for approximately 7 to 10 % of all CHD and is commonly associated with failure of the right ventricle (RV). Parameters providing more insight into the mechanics of RV failure are needed to guide clinical decision making. As advancements in Three-Dimensional (3D) echocardiography (3DE) have enabled more detailed analysis of RV volume and function, the way is paved for new 3D derived parameters. We developed a custom software to assess 3D RV shape and function. Purpose The aim of this study was to evaluate the differences of 3DE derived RV geometry (curvature) and deformation parameters in adults with ToF and controls. Methods In 50 patients with ToF and 50 controls 3DE RV images were acquired. RV geometries from 3D datasets were segmented using commercially available RV analysis software (TomTec 4D-RV function 2.0) and processed using custom software (RV-dynamics) to calculate Curvature, Area Strain (AS) and Longitudinal Strain (LS). Parameters were measured globally and over different segments of the RV (i.e. septal body (SB), inferior free wall (IFW), anterior free wall (AFW), lateral free wall (LFW), apex (Ax), RV inflow tract (RVIT), RV outflow tract (RVOT), anterior boundary (AB) and posterior boundary (PB)). Results Globally and for all independent regions of the RV, AS was significantly reduced in patients with ToF as compared with healthy controls. Except for AFW, global and all regional values of LS were significantly reduced in patients with ToF as compared with healthy controls. Global AS and LS were strongly correlated with RVEF with values for r of -0.9 and -0.6 respectively. RV curvature differed over multiple segments, predominantly in the end-diastolic Ax and end-systolic PB and Ax regions. Conclusion The RV-dynamics software gives the opportunity to analyze 3D RV morphology and RV deformation parameters in the diseased RV in more detail. AS and LS may provide more detailed assessment of the functional condition of the diseased RV in ToF whereas curvature provides an interesting method for the quantification of RV remodeling. Further insight in the different mechanisms of dysfunction of the RV may improve clinical decision making.
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