Fontan Surgical Planning: Numerical Simulations Reveal Efficient Geometries Predicting Post-Surgical Outcomes

Area of Science:

• Cardiovascular Surgery
• Biomedical Engineering
• Computational Fluid Dynamics

Background:

• Computational fluid dynamics (CFD) offers potential for predicting post-surgical outcomes in cardiovascular surgery.
• Current CFD methods, primarily volume-based, face limitations in accessibility and require advanced computational resources.
• A need exists for a standardized, clinically applicable CFD approach for surgical planning.

Purpose of the Study:

• To develop a reproducible surgical planning procedure for a simplified, clinically feasible total cavopulmonary geometry.
• To enhance the accuracy of cardiovascular surgical planning through improved hemodynamic understanding.

Main Methods:

• Simulations utilizing the finite volume method were performed for various cavopulmonary anastomosis configurations.
• Analysis focused on continuous and pulsatile blood flow dynamics, including energy efficiency and shear stress.
• The study explored different geometries to optimize blood flow distribution.

Main Results:

• Two specific geometries demonstrated efficient physiological blood flow distribution.
• These geometries exhibited adequate shear stress levels and minimized energy loss.
• Results highlighted the importance of avoiding pulmonary artery stenosis for optimal outcomes.

Conclusions:

• The developed CFD method enables early visualization of post-surgical results, particularly for complex cases.
• This approach enhances the understanding of hemodynamics in cavopulmonary anatomy.
• The study improves the accuracy and reliability of cardiovascular surgical planning.