This episode explores groundbreaking research from Boston Children's Hospital and Harvard Medical School that demonstrates how multiphysiologic state computational fluid dynamics (CFD) modelling is transforming surgical planning for children with complex congenital heart conditions.

We delve into the innovative 3D virtual surgery workflow developed for patients with single ventricle physiology and interrupted inferior vena cava - a particularly challenging combination that historically carries high risks of life-threatening complications. The research team's approach utilises advanced CFD analysis across multiple physiological states to predict and optimise hepatic venous flow distribution, preventing the formation of pulmonary arteriovenous malformations that can prove fatal in these vulnerable young patients.

The episode examines how this in silico methodology successfully translates virtual surgical planning into real-world clinical outcomes, validated through post-operative MRI imaging. We discuss the broader implications for personalised paediatric medicine, the potential for reducing surgical revisions, and how computational modelling is enabling surgeons to achieve balanced blood flow patterns that were previously difficult to predict using traditional planning methods.

This case study exemplifies the transformative potential of digital health technologies in paediatric care, showcasing how sophisticated computational tools can directly improve surgical outcomes and quality of life for children with complex cardiac conditions.

Source: Hoganson DM, Govindarajan V, Schulz NE, Eickhoff ER, Breitbart RE, Marx GR, Del Nido PJ, Hammer PE. Multiphysiologic State Computational Fluid Dynamics Modeling for Planning Fontan With Interrupted Inferior Vena Cava. JACC Adv. 2024 Jun 13;3(7):101057.