ArticleBiomedical engineering online2023
A novel physics-based model for fast computation of blood flow in coronary arteries.
Article in Biomedical engineering online, 2023. 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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Who cites it
3 citing papers in PubMed.
- Non-invasive Computational Techniques for Diagnosing Myocardial Ischemia: Challenges and Future of FFRAnnals of biomedical engineering · 2026Review
- A Statistical Shape Modeling Approach for the Derivation of a Data-Driven Geometry-Aware Lumped Arterial Stenosis Model.International journal for numerical methods in biomedical engineering · 2026Article
- Patient-specificFrontiers in cardiovascular medicine · 2024Review
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Authors and funding
9 authors.
Funding
Abstract
Blood flow and pressure calculated using the currently available methods have shown the potential to predict the progression of pathology, guide treatment strategies and help with postoperative recovery. However, the conspicuous disadvantage of these methods might be the time-consuming nature due to the simulation of virtual interventional treatment. The purpose of this study is to propose a fast novel physics-based model, called FAST, for the prediction of blood flow and pressure. More specifically, blood flow in a vessel is discretized into a number of micro-flow elements along the centerline of the artery, so that when using the equation of viscous fluid motion, the complex blood flow in the artery is simplified into a one-dimensional (1D) steady-state flow. We demonstrate that this method can compute the fractional flow reserve (FFR) derived from coronary computed tomography angiography (CCTA). 345 patients with 402 lesions are used to evaluate the feasibility of the FAST simulation through a comparison with three-dimensional (3D) computational fluid dynamics (CFD) simulation. Invasive FFR is also introduced to validate the diagnostic performance of the FAST method as a reference standard. The performance of the FAST method is comparable with the 3D CFD method. Compared with invasive FFR, the accuracy, sensitivity and specificity of FAST is 88.6%, 83.2% and 91.3%, respectively. The AUC of FFR
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Registered trials
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