Leister Robin, Karl Roger, Stroh Lubov, Mereles Derliz, Eden Matthias, Neff Luis, de Simone Raffaele, Romano Gabriele, Kriegseis Jochen, Karck Matthias, Lichtenstern Christoph, Frey Norbert, Frohnapfel Bettina, Stroh Alexander, Engelhardt Sandy
Institute of Fluid Mechanics (ISTM), Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany.
Department of Cardiac Surgery, Heidelberg University Hospital, Heidelberg, Germany.
Cardiovasc Eng Technol. 2025 Apr;16(2):155-170. doi: 10.1007/s13239-024-00763-w. Epub 2025 Jan 6.
The flow convergence method includes calculation of the proximal isovelocity surface area (PISA) and is widely used to classify mitral regurgitation (MR) with echocardiography. It constitutes a primary decision factor for determination of treatment and should therefore be a robust quantification method. However, it is known for its tendency to underestimate MR and its dependence on user expertise. The present work systematically compares different pulsatile flow profiles arising from different regurgitation orifices using transesophageal echocardiographic (TEE) probe and particle image velocimetry (PIV) as a reference in an in-vitro environment. It is found that the inter-observer variability using echocardiography is small compared to the systematic underestimation of the regurgitation volume for large orifice areas (up to 52%) where a violation of the flow convergence method assumptions occurs. From a flow perspective, a starting vortex was found as a dominant flow pattern in the regurgant jet for all orifice shapes and sizes. A series of simplified computational fluid dynamics (CFD) simulations indicate that selecting a suboptimal aliasing velocity during echocardiography measurements might be a primary source of potential underestimation in MR characterization via the PISA-based method, reaching up to 40%. In this study, it has been noted in clinical observations that physicians often select an aliasing velocity higher than necessary for optimal estimation in diagnostic procedures.
血流会聚法包括近端等速表面积(PISA)的计算,广泛用于超声心动图对二尖瓣反流(MR)进行分类。它是确定治疗方案的主要决定因素,因此应该是一种可靠的量化方法。然而,它以低估MR以及依赖用户专业知识而闻名。本研究在体外环境中,使用经食管超声心动图(TEE)探头和粒子图像测速技术(PIV)作为参考,系统地比较了不同反流口产生的不同脉动血流剖面。结果发现,与大瓣口面积(高达52%)反流容积的系统性低估相比,超声心动图的观察者间变异性较小,此时血流会聚法的假设被违反。从血流角度来看,对于所有瓣口形状和大小,起始涡流是反流束中的主要血流模式。一系列简化的计算流体动力学(CFD)模拟表明,在超声心动图测量期间选择次优的取样容积速度可能是基于PISA法在MR特征描述中潜在低估的主要来源,高达40%。在本研究中,临床观察发现,医生在诊断过程中经常选择高于最佳估计所需的取样容积速度。