ArticleThe Journal of thoracic and cardiovascular surgery2019
The first cohort of prospective Fontan surgical planning patients with follow-up data: How accurate is surgical planning?
Article in The Journal of thoracic and cardiovascular surgery, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
The trial behind it
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
35 citing papers in PubMed.
- Non-Newtonian Effects on Patient-Specific Modeling of Fontan Hemodynamics.Annals of biomedical engineering · 2020Trial
- The utility of 4D flow MRI and computational fluid dynamics in developing the fontan model enhances presurgical planning and ensures better outcomes: the first case report in Thailand.Journal of cardiothoracic surgery · 2026Article
- Article
- Preclinical Validation of a Patient-Specific Patch-Planning Workflow for Congenital Cardiovascular Reconstruction.Annals of biomedical engineering · 2025Article
- Pulmonary Vascular Endothelial Dysfunction Is Induced by Nonpulsatile Pulmonary Blood Flow in an Ovine Classic Glenn Model.Comprehensive Physiology · 2025Article
- Pulmonary Vascular Endothelial Dysfunction is Induced by Non-Pulsatile Pulmonary Blood Flow in an Ovine Classic Glenn Model.bioRxiv : the preprint server for biology · 2025Article
- Focal comparison of experimental and finite element derived strain fields in a 3D IVUS-based computational model of vascular tissue under loading.Journal of biomechanics · 2025Article
- Applications of Computational Fluid Dynamics in Congenital Heart Disease: A Review.Journal of cardiovascular development and disease · 2025Review
- Biomechanics and clinical implications of Fontan upsizing.Computers in biology and medicine · 2024Article
- Multiphysiologic State Computational Fluid Dynamics Modeling for Planning Fontan With Interrupted Inferior Vena Cava.JACC. Advances · 2024Article
- Integration of Febio as an Instructional Tool in the Undergraduate Biomechanics Curriculum.Journal of biomechanical engineering · 2024Article
- Article
- Virtual Planning and Patient-Specific Graft Design for Aortic Repairs.Cardiovascular engineering and technology · 2024Article
- Impact of Age-Related Change in Caval Flow Ratio on Hepatic Flow Distribution in the Fontan Circulation.Circulation. Cardiovascular imaging · 2024Article
- Article
- A systematic review of cardiacProgress in biomedical engineering (Bristol, England) · 2023Review
- svMorph: Interactive Geometry-Editing Tools for Virtual Patient-Specific Vascular Anatomies.Journal of biomechanical engineering · 2023Article
- Location matters: Offset in tissue-engineered vascular graft implantation location affects wall shear stress in porcine models.JTCVS open · 2022Article
- Surgical Planning and Optimization of Patient-Specific Fontan Grafts With Uncertain Post-Operative Boundary Conditions and Anastomosis Displacement.IEEE transactions on bio-medical engineering · 2022Article
- Computational Fluid Dynamics Support for Fontan Planning in Minutes, Not Hours: The Next Step in Clinical Pre-Interventional Simulations.Journal of cardiovascular translational research · 2022Article
Corrections and comments
- Commented on by
Authors and funding
7 authors.
Funding
Abstract
objectiveFontan surgical planning is an image-based, collaborative effort, which is hypothesized to result in improved patient outcomes. A common motivation for Fontan surgical planning is the progression (or concern for progression) of pulmonary arteriovenous malformations. The purpose of this study was to evaluate the accuracy of surgical planning predictions, specifically hepatic flow distribution (HFD), a known factor in pulmonary arteriovenous malformation progression, and identify methodological improvements needed to increase prediction accuracy.
methodsTwelve single-ventricle patients who were enrolled in a surgical planning protocol for Fontan surgery with pre- and postoperative cardiac imaging were included in this study. Computational fluid dynamics were used to compare HFD in the surgical planning prediction and actual postoperative conditions.
resultsOverall, HFD prediction error was 17 ± 13%. This error was similar between surgery types (15 ± 18% and 18 ± 10% for revisions vs Fontan completions respectively; P = .73), but was significantly lower (6 ± 7%; P = .05) for hepatic to azygous shunts. Y-grafts and extracardiac conduits showed a strong correlation between prediction error and discrepancies in graft insertion points (r = 0.99; P < .001). Improving postoperative anatomy prediction significantly reduced overall HFD prediction error to 9 ± 6% (P = .03).
conclusionsAlthough Fontan surgical planning can offer accurate HFD predictions for specific graft types, methodological improvements are needed to increase overall accuracy. Specifically, improving postoperative anatomy prediction was shown to be an important target for future work. Future efforts and refinements to the surgical planning process will benefit from an improved understanding of the current state and will rely heavily on increased follow-up data.
Indexed as
Identifiers
What OpenQuestion holds
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.