Figueroa C Alberto, Baek Seungik, Taylor Charles A, Humphrey Jay D
Department of Bioengineering, Stanford University.
Comput Methods Appl Mech Eng. 2009 Sep 15;198(45-46):3583-3602. doi: 10.1016/j.cma.2008.09.013.
It is now well known that altered hemodynamics can alter the genes that are expressed by diverse vascular cells, which in turn plays a critical role in the ability of a blood vessel to adapt to new biomechanical conditions and governs the natural history of the progression of many types of disease. Fortunately, when taken together, recent advances in molecular and cell biology, in vivo medical imaging, biomechanics, computational mechanics, and computing power provide an unprecedented opportunity to begin to understand such hemodynamic effects on vascular biology, physiology, and pathophysiology. Moreover, with increased understanding will come the promise of improved designs for medical devices and clinical interventions. The goal of this paper, therefore, is to present a new computational framework that brings together recent advances in computational biosolid and biofluid mechanics that can exploit new information on the biology of vascular growth and remodeling as well as in vivo patient-specific medical imaging so as to enable realistic simulations of vascular adaptations, disease progression, and clinical intervention.
现在众所周知，血流动力学改变可改变多种血管细胞所表达的基因，这反过来又在血管适应新生物力学条件的能力中起关键作用，并决定许多类型疾病进展的自然史。幸运的是，综合来看，分子与细胞生物学、体内医学成像、生物力学、计算力学以及计算能力方面的最新进展提供了前所未有的机会，可着手理解此类血流动力学对血管生物学、生理学和病理生理学的影响。此外，随着认识的加深，有望改进医疗设备设计和临床干预措施。因此，本文的目标是提出一个新的计算框架，该框架汇集了计算生物固体力学和生物流体力学的最新进展，能够利用血管生长和重塑生物学以及体内患者特异性医学成像的新信息，从而实现对血管适应、疾病进展和临床干预的逼真模拟。
