Chen Xueping, Zhuang Jian, Wu Yueheng
Institute of Biomechanics, School of Bioscience and Bioengineering, South China University of Technology, Guangzhou, P.R. China.
Guangdong Cardiovascular Institute, Guangdong Provincial Key Laboratory of South China Structural Heart Disease, Guangdong General Hospital, Guangdong Academy of Medical Sciences, Guangzhou, P.R. China.
Comput Methods Biomech Biomed Engin. 2020 Aug;23(10):571-584. doi: 10.1080/10255842.2020.1752681. Epub 2020 Apr 20.
The purpose of this study is to compare the effects of the different physical factors on lipoproteins accumulation in the aorta artery. Results revealed that hemodynamic parameters (, , ) together affect spatial distributions of lipoproteins concentration in the human aorta. Moreover, decreasing the frequency of pulsatile flow and particle size leads to more lipoproteins accumulated on the luminal surface. In addition, given the same flow rate, the pulsatile flow could reduce lipoproteins concentration in the luminal surface of aorta relative to a steady flow condition. The present computer strategy may have great potential in predicting the local atherosclerosis lesion.
本研究的目的是比较不同物理因素对主动脉中脂蛋白积累的影响。结果显示,血流动力学参数(……)共同影响人体主动脉中脂蛋白浓度的空间分布。此外,降低脉动流频率和颗粒大小会导致更多脂蛋白积聚在管腔表面。另外,在相同流速下,相对于稳定流条件,脉动流可降低主动脉管腔表面的脂蛋白浓度。目前的计算机策略在预测局部动脉粥样硬化病变方面可能具有巨大潜力。