Computational Modeling to Support Surgical Decision Making in Single Ventricle Physiology

Area of Science:

• Cardiovascular Surgery
• Biomedical Engineering
• Computational Biology

Background:

• Historically, animal and mock-circuit models were used for surgical innovation.
• Mathematical modeling of cardiovascular systems enabled surgeon-engineer collaboration.
• The computational era in congenital heart surgery began in 1996 with simulations of the Fontan procedure.

Purpose of the Study:

• To highlight the evolution and impact of computational modeling in congenital heart surgery.
• To emphasize the shift from generic to patient-specific simulations.
• To underscore the role of modeling in personalized medicine and precision care.

Main Methods:

• Utilizing computational power to simulate complex cardiovascular anatomy and circulation.
• Developing patient-specific models integrating 3D anatomy, circulation, hemodynamics, and physiology.
• Creating virtual surgery tools to predict flow dynamics and circulatory results for complex defects.

Main Results:

• Computational modeling has significantly contributed to advancements in congenital heart surgery.
• Sophisticated numerical and imaging methods allow for refined anatomic and physiologic details.
• Patient-specific simulations and virtual surgery tools are now available for complex cases like single ventricle palliation.

Conclusions:

• Computational modeling is an increasingly valuable adjunct for surgical planning in complex congenital heart surgery.
• Continued collaboration between surgeons and engineers, with awareness of limitations, is crucial.
• These simulations support preoperative decision-making, advancing personalized and precision care in pediatric cardiac surgery.