Thorac Cardiovasc Surg 2015; 63 - P0005
DOI: 10.1055/s-0035-1555996

4D-RV-Function 2—A Promising for Three Dimensional Echocardiographic Datasets in Children and Young Adults?

A. Karabiyik 1, N. A. Haas 1, H. Körperich 2, J. P. Horst 1, E. Klusmeier 1, M. Fischer 1, D. Kececioglu 1, K. T. Laser 1
  • 1Center for Congenital Heart Defects, Ruhr-University Bochum, HDZ-Bad Oeynhausen, Bochum, Germany
  • 2Institute for Radiology, Nuclear Medicine and Molecular Imaging, Ruhr-University Bochum, HDZ-Bad Oeynhausen, Bochum, Germany

Introduction: Real-time 3D-Echocardiography (RT3DE) is a promising method to assess right ventricular end diastolic (EDV), end systolic (ESV), stroke (SV) volumes and ejection fraction (EF).

Methods: 20 healthy children and adults (6–40, median 16.4 years, 13 female) were investigated by cardiac magnetic resonance imaging (CMR, 3T Achieva, Philips, Cine SSFP, frame rate 20–24/s) and RT3DE (Vivid 7, IE33, 4-beat acquisition, frame rate 20–30/s). Analysis of CMR data by the summation of disks method, RT3DE data by a prototype of the 4D RV-Function 2 software (Tomtec, Germany). Statistical analysis using Bland Altmann, correlations with Pearson-Bravais.

Results: Feasibility of 90% (18 RT3DE datasets). RT3DE provided mild mean underestimation of EDV (4.5 ± 8,5%, LOA −12.5% to 21.5%, r=0.990), ESV (1.4 ± 15.4%, LOA −29.5% to 32.3%, r=0.951), SV (6.5 ± 12.4%, LOA −18.3% to 31.3%, r=0.974) and EF (2.0 ± 8.9%, LOA −15.8% to 19.8%, r=0.969). Intraobserver-variability for EDV (−1.7 ± 8.2%, LOA −18% to 14.6%, r=0.979) and ESV (2.9 ± 13.2%, LOA −23.5% to 29.3%, r=0.928) was low. Interobserver-variability for EDV (0.8 ± 15%, LOA −29.1% to 30.8%, r=0.928) was better than for ESV (2.0 ± 24%, LOA −46% to 50%, r=0.887). Mean septal longitudinal Strain (LS) −21 ± 5,9%, free wall LS −29 ± 6.5% (p < 0.001). Mean calculation time was 5 minutes.

Conclusion: RV-Function 2 provides good feasibility and promising accuracy in healthy individuals. Reproducibility of ESV estimation was inferior to EDV. Deformational parameters can also be assessed within a short period of calculation time from the same RT3DE dataset. Further validations have to be performed to undermine that the method is an interesting tool for clinical use in patients.