Multiscale design of surface morphological gradient for osseointegration
Multiscale design of surface morphological gradient for osseointegration
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DOI：
10.1016/j.jmbbm.2012.08.019
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发表时间：
2013-04-01
影响因子：
3.9
通讯作者：
Li, Qing
中科院分区：
文献类型：
--
作者：
Chen, Junning;Rungsiyakull, Chaiy;Li, Qing
快速稳定的骨整合是植入式假体设计中的一个主要问题，这刺激了新植入材料和结构的不断开发。本研究旨在通过多尺度建模和重塑技术探索其微机械特征如何决定骨整合，从而开发用于植入物的珠/颗粒涂层多孔表面的分级配置。通过使用文献中发表的骨种植体接触（BIG）比率的系统评价确定的重塑参数，以典型的牙种植设置为例进行研究。通过48个月的重塑模拟获得了宏观模型的全局响应，这构成了使用30至70μm不同颗粒梯度创建的27个微观模型的基础。骨整合反应根据 BIG 比率和平均 10% 峰值 Tresca 剪切应力 (PTS) 进行评估。在所考虑的采样设计中，具有 50-30-30 μm 颗粒尺寸的配置提供了最佳结果，与最坏情况相比，BIG 比率增加了 20%，PTS 减少了 0.17 MPa，也优于 70 gm 颗粒的最佳均匀形态。此外，利用响应面法（RSM）根据三层的梯度参数来制定骨重塑响应。梯度 30.0-30.0-32.1 是 BIG 比率的最佳梯度，70-45.4-40.8 是最小 PTS 的最佳梯度。最终执行多目标优化以同时最大化 BIG 比率并最小化 PTS，以实现最佳的总体结果。由于这两个设计目标之间的激烈竞争，产生了帕累托前沿。为了做出适当的权衡，考虑最小距离选择准则，并且37.1-70.0-67.7的梯度出现最优解。这项研究为个体患者提供了一种新颖的表面配置和设计方法，可以优化地形梯度，以获得理想的患者特异性生物力学环境，以促进骨整合。 (C) 2012 Elsevier Ltd. 保留所有权利。
Rapid and stable osseointegration signifies a major concern in design of implantable prostheses, which stimulates continuous development of new implant materials and structures. This study aims to develop a graded configuration of a bead/particle coated porous surface for implants by exploring how its micromechanical features determine osseointegration through multiscale modeling and remodeling techniques. A typical dental implantation setting was exemplified for investigation by using the remodeling parameters determined from a systematic review of bone-implant-contact (BIG) ratio published in literature. The global responses of a macroscale model were obtained through 48 month remodeling simulation, which forms the basis for the 27 microscopic models created with different particle gradients ranging from 30 to 70 mu m. The osseointegration responses are evaluated in terms of the BIG ratio and the averaged 10% peak Tresca shear stress (PTS). Within the sampling designs considered, the configuration with 50-30-30 mu m particle sizes provides the best outcome, counting 20% more BIG ratio and 0.17 MPa less PTS compared with the worst case scenario, also outperforming the best uniform morphology of 70 gm particles. Furthermore, the response surface method (RSM) was utilized to formulate the bone remodeling responses in terms of gradient parameters across three layers. Gradient 30.0-30.0-32.1 is found an optimal gradient for BIG ratio, and 70-45.4-40.8 the best for the minimum PTS. The multiobjective optimization was finally performed to simultaneously maximize BIG ratio and minimize PTS for achieving the best possible overall outcome. Due to strong competition between these two design objectives, a Pareto front is generated. To make a proper trade-off, the minimum distance selection criterion is considered and the gradient of 37.1-70.0-67.7 appears an optimal solution. This study provides a novel surface configuration and design methodology for individual patient that allow optimizing topographical gradient for a desirable patient-specific biomechanical environment to promote osseointegration. (C) 2012 Elsevier Ltd. All rights reserved.