Trans-stenotic pressure drop

  • 文章类型: Journal Article
    基于导丝的压力测量对于诊断冠状动脉疾病至关重要。然而,导丝对局部血流动力学和诊断结果的影响尚不完全清楚.在这项研究中,我们提出了一个广义的降阶模型(ROM)来准确预测动脉中的跨狭窄压降。该模型的一个关键优点是粘性项不依赖于经验参数,使其适用于有和没有导丝插入的情况,以及不同的狭窄严重程度。与3D理想化数值模型相比,该模型具有良好的准确性,在没有导丝的情况下,平均预测误差为3.61%,在有导丝的情况下,平均预测误差为4.53%。此外,当应用于特定于患者的模型时,与以前发布的ROM相比,它实现了可比或更好的结果。最后,该ROM用于研究在各种狭窄严重程度下跨狭窄压降的不同成分的相对重要性的变化,并进一步了解导丝对FFR测量的影响。
    Guidewire-based pressure measurement is essential for diagnosing coronary artery disease. However, the impact of the guidewire on local hemodynamics and diagnostic outcomes is not fully understood. In this study, we propose a generalized reduced-order model (ROM) to accurately predict the trans-stenotic pressure drop in arteries. A key advantage of this model is that the viscous term does not rely on empirical parameters, making it applicable to both scenarios with and without guidewire insertion, and across varying stenosis severities. The proposed model demonstrates good accuracy compared to 3D idealized numerical models, achieving an average prediction error of 3.61% for cases without a guidewire and 4.53% for cases with a guidewire. Furthermore, when applied to a patient-specific model, it achieves comparable or better results than previously published ROMs. Finally, this ROM is employed to investigate the shifting relative importance of different components of the trans-stenotic pressure drop at various stenosis severities, and to provide further insights into the guidewire\'s influence on FFR measurements.
    导出

    更多引用

    收藏

    翻译标题摘要

    我要上传

    求助全文

  • 文章类型: Journal Article
    主动脉瓣上狭窄(SVAS)是一种以升主动脉狭窄为特征的主动脉畸形,导致狭窄区域的异常血流动力学和压降。已经观察到,从多普勒超声检查测量的压降通常倾向于高于从侵入性心脏导管插入术获得的压降。这些错误的升高的压力测量值可能会促使决定过早地将患者转诊以进行手术治疗。考虑到这种强烈的临床关联,这项工作的目的是开发一种使用双向耦合流体-结构相互作用方法的计算建模方法,以确定跨狭窄压降的准确预测,并进一步强调SVAS评估方法之间的差异。使用Navier-Stokes方程对血液进行建模,而主动脉壁由复合多孔弹性结构模拟,以表示动脉壁的三个主要层。在不同程度的狭窄中检查主动脉壁弹性与血流状况之间的关系,范围从轻度到严重的血管直径变窄的程度。观察到对传统多普勒压降测量的大幅高估,特别是对于严重的狭窄水平。模拟结果表明,对于轻度至中度SVAS病例,主动脉壁弹性对经狭窄压降的影响相对较小。但预计对严重的SVAS病例有深远的影响。此外,观察到狭窄严重程度对SVAS区域压降的显著敏感性。
    Supravalvular aortic stenosis (SVAS) is an aortic malformation characterized by a narrowing of the ascending aorta, resulting in abnormal hemodynamics and pressure drop across the stenosed region. It has been observed that the pressure drops measured from Doppler ultrasound exams often tend to be higher than those obtained from invasive cardiac catheterization. These misleadingly elevated pressure measurements may drive the decision to refer patients for surgical treatment prematurely. Considering this strong clinical association, the purpose of this work is to develop a computational modeling approach using a two-way coupled fluid-structure interaction methodology to determine an accurate prediction of trans-stenotic pressure drop and to further highlight the discrepancy between the SVAS assessment methods. Blood is modeled using Navier-Stokes equations while the aortic wall is simulated by a composite poroelastic structure to represent the three main layers of the arterial wall. The relationship between aortic wall elasticity and the blood flow conditions is examined in varying levels of stenosis, ranging from mild to severe degrees of vessel diameter narrowing. A substantial overestimation of the traditional Doppler pressure drop measurement is observed, especially for severe stenosis levels. The simulation results indicate that elasticity of the aortic wall has a relatively little effect on trans-stenotic pressure drop for the range of mild to moderate SVAS cases, but predicted to have a profound effect for severe SVAS cases. Moreover, significant sensitivity to the pressure drop across the SVAS region from stenosis severity is observed.
    导出

    更多引用

    收藏

    翻译标题摘要

    我要上传

       PDF(Sci-hub)

公众号