Rhombicuboctahedron unit cell based scaffolds for bone regeneration: geometry optimization with a mechanobiology - driven algorithm

Rhombicuboctahedron unit cell based scaffolds for bone regeneration: geometry optimization with a mechanobiology - driven algorithm
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DOI:
10.1016/j.msec.2017.09.004
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发表时间:
2018-02-01
影响因子:
7.9
通讯作者:
Monno, Giuseppe
Monno, Giuseppe
中科院分区:
工程技术1区
文献类型:
--
作者:
Boccaccio, Antonio;Fiorentino, Michele;Monno, Giuseppe

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在越来越面向定制医疗解决方案的背景下,我们提出了一种机械生物学驱动的算法,以确定最适合特定边界和负载条件的骨再生支架的最佳几何形状。尽管有大量的文章研究多孔生物材料的不同晶胞,但文献中没有报道基于机械生物学标准优化此类晶胞的几何参数的研究。开发了具有菱形立方八面体单元的支架的参数化有限元模型,并将其纳入将其与计算机械生物学模型相结合的优化算法中。该算法迭代地扰动单位单元的几何形状,直到识别出最佳支架几何形状,即允许最大化骨形成的几何形状。比较了菱形立方八面体与其他六面体单胞支架的性能。我们发现具有菱形立方八面体单元的支架特别适合于支撑中低载荷,而对于较高载荷,具有六面体单元的支架是优选的。所提出的算法可以指导骨科/外科医生选择植入患者特定解剖区域的最佳支架。
In a context more and more oriented towards customized medical solutions, we propose a mechanobiology-driven algorithm to determine the optimal geometry of scaffolds for bone regeneration that is the most suited to specific boundary and loading conditions. In spite of the huge number of articles investigating different unit cells for porous biomaterials, no studies are reported in the literature that optimize the geometric parameters of such unit cells based on mechanobiological criteria. Parametric finite element models of scaffolds with rhombicuboctahedron unit cell were developed and incorporated into an optimization algorithm that combines them with a computational mechanobiological model. The algorithm perturbs iteratively the geometry of the unit cell until the best scaffold geometry is identified, i.e. the geometry that allows to maximize the formation of bone. Performances of scaffolds with rhombicuboctahedron unit cell were compared with those of other scaffolds with hexahedron unit cells. We found that scaffolds with rhombicuboctahedron unit cell are particularly suited for supporting medium-low loads, while, for higher loads, scaffolds with hexahedron unit cells are preferable. The proposed algorithm can guide the orthopaedic/surgeon in the choice of the best scaffold to be implanted in a patient-specific anatomic region.