Image-based computational fluid dynamics for estimating pressure drop and fractional flow reserve across iliac artery stenosis: A comparison with in-vivo measurements,International Journal for Numerical Methods in Biomedical Engineering

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Image-based computational fluid dynamics for estimating pressure drop and fractional flow reserve across iliac artery stenosis: A comparison with in-vivo measurements
International Journal for Numerical Methods in Biomedical Engineering ( IF 2.2 ) Pub Date : 2021-01-15 , DOI: 10.1002/cnm.3437
Simeon Skopalik ₁ , Pauline Hall Barrientos ₂ , James Matthews ₃ , Aleksandra Radjenovic ₄ , Patrick Mark ₄ , Giles Roditi ₄ , Manosh C Paul ₁

Affiliation

Computational Fluid Dynamics (CFD) and time-resolved phase-contrast magnetic resonance imaging (PC-MRI) are potential non-invasive methods for the assessment of the severity of arterial stenoses. Fractional flow reserve (FFR) is the current “gold standard” for determining stenosis severity in the coronary arteries but is an invasive method requiring insertion of a pressure wire. CFD derived FFR (vFFR) is an alternative to traditional catheter derived FFR now available commercially for coronary artery assessment, however, it can potentially be applied to a wider range of vulnerable vessels such as the iliac arteries. In this study CFD simulations are used to assess the ability of vFFR in predicting the stenosis severity in a patient with a stenosis of 77% area reduction (>50% diameter reduction) in the right iliac artery. Variations of vFFR, overall pressure drop and flow split between the vessels were observed by using different boundary conditions. Correlations between boundary condition parameters and resulting flow variables are presented. The study concludes that vFFR has good potential to characterise iliac artery stenotic disease.

中文翻译：

基于图像的计算流体动力学估计跨髂动脉狭窄的压降和部分流量储备：与体内测量的比较

计算流体动力学 (CFD) 和时间分辨相位对比磁共振成像 (PC-MRI) 是评估动脉狭窄严重程度的潜在非侵入性方法。血流储备分数 (FFR) 是当前确定冠状动脉狭窄严重程度的“金标准”，但它是一种需要插入压力线的侵入性方法。CFD 衍生的 FFR (vFFR) 是传统导管衍生 FFR 的替代品，现在可用于冠状动脉评估，但是，它可以潜在地应用于更广泛的脆弱血管，例如髂动脉。在这项研究中，CFD 模拟用于评估 vFFR 预测右髂动脉狭窄面积减少 77%（直径减少 >50%）的患者狭窄严重程度的能力。vFFR 的变化，通过使用不同的边界条件，观察了容器之间的总压降和分流。提出了边界条件参数和产生的流量变量之间的相关性。该研究得出结论，vFFR 具有很好的表征髂动脉狭窄疾病的潜力。

更新日期：2021-01-15

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