ArticleJournal of cardiovascular translational research2022
Computational Fluid Dynamics Support for Fontan Planning in Minutes, Not Hours: The Next Step in Clinical Pre-Interventional Simulations.
Article in Journal of cardiovascular translational research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 13 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
13 citing papers in PubMed, 25 citations in OpenAlex.
- Computational Modeling Meets 3D Bioprinting: Emerging Synergies in Cardiovascular Disease Modeling.Advanced healthcare materials · 2026Review
- Quantitative evaluation of computational fluid dynamics application development in the cardiovascular field through literature retrieval and bibliometric analysis.Biomedical engineering online · 2026Review
- 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
- Biomechanics and clinical implications of Fontan upsizing.Computers in biology and medicine · 2024Article
- The impact of blood viscosity modeling on computational fluid dynamic simulations of pediatric patients with Fontan circulation.Physics of fluids (Woodbury, N.Y. : 1994) · 2024Article
- Multiphysiologic State Computational Fluid Dynamics Modeling for Planning Fontan With Interrupted Inferior Vena Cava.JACC. Advances · 2024Article
- Strategies for multi-case physics-informed neural networks for tube flows: a study using 2D flow scenarios.Scientific reports · 2024Article
- Impact of Age-Related Change in Caval Flow Ratio on Hepatic Flow Distribution in the Fontan Circulation.Circulation. Cardiovascular imaging · 2024Article
- In vivo hepatic flow distribution by computational fluid dynamics can predict pulmonary flow distribution in patients with Fontan circulation.Scientific reports · 2023Article
- In Silico Evaluation of a Self-powered Venous Ejector Pump for Fontan Patients.Cardiovascular engineering and technology · 2023Article
- Characterization of baseline hemodynamics after the Fontan procedure: a retrospective cohort study on the comparison of 4D Flow MRI and computational fluid dynamics.Frontiers in physiology · 2023Article
- 3D Approaches in Complex CHD: Where Are We? Funny Printing and Beautiful Images, or a Useful Tool?Journal of cardiovascular development and disease · 2022Review
Corrections and comments
- Erratum issued
Authors and funding
6 authors at 3 institutions in 3 countries.
Funding
Abstract
Computational fluid dynamics (CFD) modeling may aid in planning of invasive interventions in Fontan patients. Clinical application of current CFD techniques is however limited by complexity and long computation times. Therefore, we validated a "lean" CFD method to magnetic resonance imaging (MRI) and an "established" CFD method, ultimately aiming to reduce complexity to enable predictive CFD during ongoing interventions. Fifteen Fontan patients underwent MRI for CFD modeling. The differences between lean and established approach, in hepatic and total flow percentage to the left pulmonary artery (%LPA), power loss and relative wall shear stress area were 1.5 ± 4.0%, -0.17 ± 1.1%, -0.055 ± 0.092 mW and 1.1 ± 1.4%. Compared with MRI, the lean and established method showed a bias in %LPA of -1.9 ± 3.4% and -1.8 ± 3.1%. Computation time was for the lean and established approach 3.0 ± 2.0 min and 7.0 ± 3.4 h, respectively. We conclude that the proposed lean method provides fast and reliable results for future CFD support during interventions.
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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.