Gates Phillip E, Gurung Arati, Mazzaro Luciano, Aizawa Kuni, Elyas Salim, Strain William D, Shore Angela C, Shandas Robin
National Institute of Health Research (NIHR) Exeter Clinical Research Facility and Diabetes and Vascular Medicine Research Centre, University of Exeter Medical School, Exeter, United Kingdom.
Department of Bioengineering, University of Colorado Denver, Aurora, Colorado, USA.
Ultrasound Med Biol. 2018 Jul;44(7):1392-1401. doi: 10.1016/j.ultrasmedbio.2018.02.013. Epub 2018 Apr 17.
Vascular endothelial cells lining the arteries are sensitive to wall shear stress (WSS) exerted by flowing blood. An important component of the pathophysiology of vascular diseases, WSS is commonly estimated by centerline ultrasound Doppler velocimetry (UDV). However, the accuracy of this method is uncertain. We have previously validated the use of a novel, ultrasound-based, particle image velocimetry technique (echo PIV) to compute 2-D velocity vector fields, which can easily be converted into WSS data. We compared WSS data derived from UDV and echo PIV in the common carotid artery of 27 healthy participants. Compared with echo PIV, time-averaged WSS was lower using UDV (28 ± 35%). Echo PIV revealed that this was due to considerable spatiotemporal variation in the flow velocity profile, contrary to the assumption that flow is steady and the velocity profile is parabolic throughout the cardiac cycle. The largest WSS underestimation by UDV was found during peak systole (118 ± 16%) and the smallest during mid-diastole (4.3± 46%). The UDV method underestimated WSS for the accelerating and decelerating systolic measurements (68 ± 30% and 24 ± 51%), whereas WSS was overestimated for end-diastolic measurements (-44 ± 55%). Our data indicate that UDV estimates of WSS provided limited and largely inaccurate information about WSS and that the complex spatiotemporal flow patterns do not fit well with traditional assumptions about blood flow in arteries. Echo PIV-derived WSS provides detailed information about this important but poorly understood stimulus that influences vascular endothelial pathophysiology.
动脉内壁的血管内皮细胞对流动血液施加的壁面剪切应力(WSS)敏感。作为血管疾病病理生理学的一个重要组成部分,WSS通常通过中心线超声多普勒测速法(UDV)进行估算。然而,这种方法的准确性尚不确定。我们之前已经验证了一种基于超声的新型粒子图像测速技术(回声粒子图像测速法,echo PIV)用于计算二维速度矢量场的可行性,该矢量场可轻松转换为WSS数据。我们比较了27名健康参与者颈总动脉中由UDV和回声粒子图像测速法得出的WSS数据。与回声粒子图像测速法相比,使用UDV得出的时间平均WSS较低(低28±35%)。回声粒子图像测速法显示,这是由于流速剖面存在显著的时空变化,这与整个心动周期内血流稳定且速度剖面呈抛物线状的假设相反。发现UDV对WSS的最大低估出现在收缩期峰值(低118±16%),最小低估出现在舒张中期(低4.3±46%)。对于收缩期加速和减速测量,UDV方法低估了WSS(分别低68±30%和24±51%),而对于舒张末期测量,WSS被高估(高 -44±55%)。我们的数据表明,UDV对WSS的估计提供了关于WSS的有限且在很大程度上不准确的信息,并且复杂的时空流动模式与关于动脉血流的传统假设不太相符。回声粒子图像测速法得出的WSS提供了关于这种影响血管内皮病理生理学的重要但了解不足的刺激的详细信息。