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Updated: Apr 14, 2026

Transthoracic Echocardiographic Examination in the Rabbit Model
Published on: June 1, 2019
Analysis of flow dynamics in right ventricular outflow tract
Denis A Berdajs1, Selim Mosbahi1, Dominique Charbonnier2
1Department of Surgery and Anesthesiology, Cardiovascular Research, University Hospital Lausanne, Lausanne, Switzerland.
Computational fluid dynamics modeling of the right ventricular outflow tract (RVOT) identified low shear stress, high pressure, and turbulent flow as triggers for intimal hyperplasia and arteriosclerosis, aiding RVOT reconstruction planning.
Area of Science:
- Cardiovascular Engineering
- Biomedical Fluid Dynamics
- Surgical Planning
Background:
- Early graft failure after right ventricular outflow tract (RVOT) reconstruction remains incompletely understood.
- Investigating hemodynamic conditions is crucial for understanding intimal hyperplasia and arteriosclerosis development.
- A three-dimensional computational fluid dynamics (CFD) model can simulate these conditions.
Purpose of the Study:
- To create a 3D CFD model of the RVOT.
- To investigate hemodynamic factors contributing to intimal hyperplasia and arteriosclerosis post-RVOT reconstruction.
Main Methods:
- Collected pressure, flow, and diameter data from 10 pigs (mean weight 24.8 kg) in the RVOT and pulmonary arteries (PAs).
- Utilized experimental data to simulate pressure, flow, and shear stress profiles using CFD from RVOT to left and right PAs.
- Developed CFD models for 2.0 and 2.5-L/min pulsatile inflow profiles.
Main Results:
- Low shear stress (0-6.0 Pa) and high pressure (14.0-20.0 mm Hg) regions were identified in the pulmonary trunk, bifurcation, and PA openings.
- Turbulent flow patterns were observed at the PA bifurcation and ostia.
- These hemodynamic conditions were consistent across both simulated inflow profiles.
Conclusions:
- Local low shear stress, high pressure, and turbulent flow patterns are identified as triggers for intimal hyperplasia and arteriosclerosis.
- The developed 3D CFD model offers a potential tool for planning, analyzing, and predicting outcomes of RVOT reconstruction.
- This approach may improve the long-term success of RVOT reconstruction procedures.
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