轻/重度主动脉狭窄双尖瓣主动脉瓣定位对主动脉血流动力学的影响:一项参数研究

Q4 Engineering
T. Fujiwara, A. Barker, K. Sughimoto, F. Liang, Hao Liu
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引用次数: 0

摘要

虽然双尖瓣主动脉瓣(BAV)表现出与主动脉动脉瘤和主动脉狭窄(AS)引起的瓣膜功能障碍相关的不同表型,但狭窄型双尖瓣主动脉瓣患者的血流动力学仍然知之甚少。在这里,我们使用基于图像的受试者特异性左心室(LV)-主动脉集成计算模型,研究瓣膜表型对不同AS构型主动脉血流动力学的影响。该模型结合健康受试者的主动脉瓣、二尖瓣、左室尖瓣的MRI图像和真实运动,以及左室尖瓣的收缩和扩张建立。基于参数调整的0-1D心血管模型给出生理边界条件。在平面瓣内,以0°~ 165°为角度,每15°变化一次的二尖瓣定向角,构建轻度和重度狭窄的对称BAV模型,系统研究定向对主动脉血流动力学的影响。我们的结果显示,主动脉的收缩期喷流主要是由瓣膜方位和AS的组合决定的。此外,最大壁剪切应力(WSS)、振荡剪切指数(OSI)和轴向能量损失等血流动力学指标也显示出表型和狭窄依赖性的特征,这表明在BAV患者的临床决策中考虑瓣膜配置的重要性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Orientation effects of bicuspid aortic valve with mild/severe aortic stenosis on aortic hemodynamics: a parametric study
While bicuspid aortic valve (BAV) shows different phenotypes associated with aortic aneurysm and valvular dysfunction due to aortic stenosis (AS), hemodynamics in patients with stenotic BAVs remains poorly understood. Here we address a study of the effects of valve phenotypes on aortic hemodynamics in different configurations of AS using an image-based subject-specific left ventricle (LV)-aorta integrated computational model. The model was built up by combining both MRI images and realistic motions of aortic valve, mitral valve, and LV apex as well as its contraction and dilatation of a healthy subject. Physiological boundary conditions were given based on a parameter-adjusted 0-1D cardiovascular model. Symmetrical BAV models with mild and severe stenosis were constructed with the orientation angle varying every 15° from 0° to 165° with regards to mitral valve while within a planar disc and the orientation effects on aortic hemodynamics were systematically investigated. Our results revealed that systolic jets in aorta were dominated by a combination of valve orientation and AS. Furthermore the hemodynamic indices of maximum wall shear stress (WSS), oscillatory shear index (OSI), and axial energy loss also demonstrated a feature of phenotype-and stenosis-dependency, pointing to the importance of taking into account the valve configuration in clinical decision-making on BAV patients.
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来源期刊
Journal of Biomechanical Science and Engineering
Journal of Biomechanical Science and Engineering Engineering-Biomedical Engineering
CiteScore
0.90
自引率
0.00%
发文量
18
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