ArticleBiology2020
Fluid-Structure Interaction Simulation of an Intra-Atrial Fontan Connection.
Article in Biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed, 36 citations in OpenAlex.
- Experiments and Simulations to Assess Exercise-Induced Pressure Drop Across Aortic Coarctations.Journal of biomechanical engineering · 2025Article
- Applications of Computational Fluid Dynamics in Congenital Heart Disease: A Review.Journal of cardiovascular development and disease · 2025Review
- Estimation of pre-Fontan pulmonary vascular resistance in children with single ventricle heart disease at the Glenn stage: a multicenter study.Frontiers in pediatrics · 2025Article
- In vitro hemodynamic performance of a blood pump for self-powered venous assist in univentricular hearts.Scientific reports · 2024Article
- The Potential of Deep Learning to Advance Clinical Applications of Computational Biomechanics.Bioengineering (Basel, Switzerland) · 2023Review
- Modeling Dynamics of the Cardiovascular System Using Fluid-Structure Interaction Methods.Biology · 2023Review
- In Silico Evaluation of a Self-powered Venous Ejector Pump for Fontan Patients.Cardiovascular engineering and technology · 2023Article
- Optimization of Ski Attitude for the In-Flight Aerodynamic Performance of Ski Jumping.Biology · 2022Article
- Predicting Hemodynamic Performance of Fontan Operation for Glenn Physiology using Computational Fluid Dynamics: Ten Patient-specific Cases.Journal of clinical images and medical case reports · 2022Article
- Performance and Biomechanics in the Flight Period of Ski Jumping: Influence of Ski Attitude.Biology · 2022Article
- Virtual treatment planning in three patients with univentricular physiology using computational fluid dynamics-Pitfalls and strategies.Frontiers in cardiovascular medicine · 2022Article
- A novel MRI-based data fusion methodology for efficient, personalised, compliant simulations of aortic haemodynamics.Journal of biomechanics · 2021Article
- Article
Corrections and comments
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Authors and funding
5 authors at 5 institutions in 1 country.
Funding
Abstract
Total cavopulmonary connection (TCPC) hemodynamics has been hypothesized to be associated with long-term complications in single ventricle heart defect patients. Rigid wall assumption has been commonly used when evaluating TCPC hemodynamics using computational fluid dynamics (CFD) simulation. Previous study has evaluated impact of wall compliance on extra-cardiac TCPC hemodynamics using fluid-structure interaction (FSI) simulation. However, the impact of ignoring wall compliance on the presumably more compliant intra-atrial TCPC hemodynamics is not fully understood. To narrow this knowledge gap, this study aims to investigate impact of wall compliance on an intra-atrial TCPC hemodynamics. A patient-specific model of an intra-atrial TCPC is simulated with an FSI model. Patient-specific 3D TCPC anatomies were reconstructed from transverse cardiovascular magnetic resonance images. Patient-specific vessel flow rate from phase-contrast magnetic resonance imaging (MRI) at the Fontan pathway and the superior vena cava under resting condition were prescribed at the inlets. From the FSI simulation, the degree of wall deformation was compared with in vivo wall deformation from phase-contrast MRI data as validation of the FSI model. Then, TCPC flow structure, power loss and hepatic flow distribution (HFD) were compared between rigid wall and FSI simulation. There were differences in instantaneous pressure drop, power loss and HFD between rigid wall and FSI simulations, but no difference in the time-averaged quantities. The findings of this study support the use of a rigid wall assumption on evaluation of time-averaged intra-atrial TCPC hemodynamic metric under resting breath-held condition.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.