ArticleJournal of cardiothoracic surgery2025
Application feasibility of virtual models and computational fluid dynamics for the planning and evaluation of aortic repair surgery for Williams syndrome.
Article in Journal of cardiothoracic surgery, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
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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.
The trial behind it
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Who cites it
2 citing papers in PubMed.
- Computational fluid dynamics analysis for enlargement of the descending aorta after frozen elephant trunk implantation.Journal of cardiothoracic surgery · 2026Article
- Preclinical Validation of a Patient-Specific Patch-Planning Workflow for Congenital Cardiovascular Reconstruction.Annals of biomedical engineering · 2025Article
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
backgroundAccurate diagnosis and evaluation of Williams Syndrome (WS) are essential yet challenging for effective surgical management. This study aimed to quantify the hemodynamic changes of surgical repair for WS through virtual surgery and computational fluid dynamics (CFD) for surgical guidance and postoperative evaluation.
methodsA patient preliminarily diagnosed with WS was included in this study. 3D model alongside hemodynamic analysis was used to guide and evaluate the surgical procedure. Preoperative, predictive and postoperative models were created and analyzed using CFD. Key parameters, including blood flow velocity, pressure differences, wall shear stress, and other critical factors, were assessed to evaluate the surgery's effectiveness.
resultsIn the hemodynamics analysis, the CFD results of predictive model and postoperative model demonstrated a high level of consistency, and showed significant differences compared to the preoperative model. The velocity at the stenosis on the aorta decreased from 5.6 m/s before the operation to 1.6 m/s in the virtual model and 1.5 m/s in the postoperative model. Surgical repair increased the proportion of outlet flow of the descending aorta (dAo) from 28.7% to 35.5%.
conclusionsVirtual surgery and CFD can predict surgical outcomes, enabling doctors to optimize and rehearse the procedure before the actual surgery. The method of predicting surgery through virtual surgery and CFD is accurate and feasible.
trial registrationRegistered by the Ethics Committee of Peking University International Hospital (No. IRB2019-062).
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