ArticleScientific reports2025
Computational simulations of coronary artery bifurcation stenting using realistic plaque distribution and materials.
Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 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.
The trial behind it
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Who cites it
3 citing papers in PubMed.
- A Visual Support System for Stent-Assisted Treatment of Cerebral Aneurysms Using 3D Imaging and Augmented Reality.Neuroinformatics · 2026Article
- Prediction of Post-stenting Lumen Dimensions Using High-Definition Intravascular Ultrasound.JACC. Advances · 2026Article
- Rapid coronary artery stent computational simulation using the simplex deformable model.Medical engineering & physics · 2026Article
Corrections and comments
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Authors and funding
12 authors.
Funding
Abstract
Coronary bifurcation stenting is a technically demanding procedure that benefits from precise preoperative planning. Finite element analysis (FEA) offers a powerful framework for simulating stent deployment, with full-plaque (FP) models representing the most detailed and physiologically realistic approach. In this study, we developed and validated an FP finite element model for coronary bifurcation stenting, aiming to establish a reference standard for future model assessments. High-resolution pre-stenting optical coherence tomography (OCT) data from nine patient cases were used to reconstruct anatomically accurate 3D models, incorporating detailed plaque compositions. Stent deployment was simulated following real clinical procedural steps. Model accuracy was assessed by comparing minimal lumen diameter (MLD) between simulations and post-stenting OCT measurements using Bland-Altman analysis. The FP model reliably reproduced multi-step stenting procedures, capturing vessel remodeling and stent deformation with high fidelity. The analysis showed a mean bias of 0.07 mm (2.1% error) with 95% limits of agreement from - 0.38 mm to 0.51 mm. These results demonstrate the model's high accuracy in replicating real-world stenting outcomes. Beyond validation, the FP model offers broad applications. It can serve as a benchmark for evaluating simplified, faster simulation tools, support patient-specific procedural planning, and enable inverse modeling to extract biomechanical properties of plaques. This study establishes the FP model as a robust and versatile platform with potential for future integration into real-time clinical workflows.
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Registered trials
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