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冠状动脉狭窄形态与血流储备分数之间的关系:一项计算流体动力学建模研究。

The relationship between coronary stenosis morphology and fractional flow reserve: a computational fluid dynamics modelling study.

作者信息

Newcombe Roberto T F, Gosling Rebecca C, Rammohan Vignesh, Lawford Patricia V, Hose D Rodney, Gunn Julian P, Morris Paul D

机构信息

Department of Infection, Immunity and Cardiovascular Disease, The Medical School, The University of Sheffield, Beech Hill Road, Sheffield S102RX, UK.

Insigneo Institute for in Silico Medicine, Frederick Mappin Building, Mappin St, Sheffield S1 3JD, UK.

出版信息

Eur Heart J Digit Health. 2021 Aug 15;2(4):616-625. doi: 10.1093/ehjdh/ztab075. eCollection 2021 Dec.

Abstract

AIMS

International guidelines mandate the use of fractional flow reserve (FFR) and/or non-hyperaemic pressure ratios to assess the physiological significance of moderate coronary artery lesions to guide revascularization decisions. However, they remain underused such that visual estimation of lesion severity continues to be the predominant decision-making tool. It would be pragmatic to have an improved understanding of the relationship between lesion morphology and haemodynamics. The aim of this study was to compute virtual FFR (vFFR) in idealized coronary artery geometries with a variety of stenosis and vessel characteristics.

METHODS AND RESULTS

Coronary artery geometries were modelled, based upon physiologically realistic branched arteries. Common stenosis characteristics were studied, including % narrowing, length, eccentricity, shape, number, position relative to branch, and distal (myocardial) resistance. Computational fluid dynamics modelling was used to calculate vFFRs using the VIRTUheart™ system. Percentage lesion severity had the greatest effect upon FFR. Any ≥80% diameter stenosis in two views (i.e. concentric) was physiologically significant (FFR ≤ 0.80), irrespective of length, shape, or vessel diameter. Almost all eccentric stenoses and all 50% concentric stenoses were physiologically non-significant, whilst 70% uniform concentric stenoses about 10 mm long straddled the ischaemic threshold (FFR 0.80). A low microvascular resistance (MVR) reduced FFR on average by 0.05, and a high MVR increased it by 0.03.

CONCLUSION

Using computational modelling, we have produced an analysis of vFFR that relates stenosis characteristics to haemodynamic significance. The strongest predictor of a positive vFFR was a concentric, ≥80% diameter stenosis. The importance of MVR was quantified. Other lesion characteristics have a limited impact.

摘要

目的

国际指南规定使用血流储备分数(FFR)和/或非充血压力比值来评估中度冠状动脉病变的生理意义,以指导血运重建决策。然而,它们的使用仍然不足,以至于病变严重程度的视觉评估仍然是主要的决策工具。更好地理解病变形态与血流动力学之间的关系将是务实之举。本研究的目的是在具有各种狭窄和血管特征的理想化冠状动脉几何结构中计算虚拟FFR(vFFR)。

方法与结果

基于生理上逼真的分支动脉对冠状动脉几何结构进行建模。研究了常见的狭窄特征,包括狭窄百分比、长度、偏心度、形状、数量、相对于分支的位置以及远端(心肌)阻力。使用计算流体动力学建模通过VIRTUheart™系统计算vFFR。病变严重程度百分比对FFR的影响最大。在两个视图中任何直径狭窄≥80%(即同心)在生理上具有显著意义(FFR≤0.80),与长度、形状或血管直径无关。几乎所有偏心狭窄和所有50%的同心狭窄在生理上无显著意义,而约10毫米长的70%均匀同心狭窄跨越缺血阈值(FFR 0.80)。低微血管阻力(MVR)平均使FFR降低0.05,高MVR使其升高0.03。

结论

通过计算建模,我们对vFFR进行了分析,将狭窄特征与血流动力学意义联系起来。vFFR为阳性的最强预测因素是同心、直径狭窄≥80%。对MVR的重要性进行了量化。其他病变特征的影响有限。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a64b/9707992/fa2b9d51dfac/ztab075f2.jpg

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