Kung Pei-Ching, Chien Shih-Shun, Tsou Nien-Ti
Department of Materials Science and Engineering, National Chiao Tung University, Ta Hsueh Road, Hsinchu 300, Taiwan.
Materials (Basel). 2020 Jun 25;13(12):2858. doi: 10.3390/ma13122858.
The effect of the short-term bone healing process is typically neglected in numerical models of bone remodeling for dental implants. In this study, a hybrid two-step algorithm was proposed to enable a more accurate prediction for the performance of dental implants.
A mechano-regulation algorithm was firstly used to simulate the tissue differentiation around a dental implant during the short-term bone healing. Then, the result was used as the initial state of the bone remodeling model to simulate the long-term healing of the bones. The algorithm was implemented by a 3D finite element model.
The current hybrid model reproduced several features which were discovered in the experiments, such as stress shielding effect, high strength bone connective tissue bands, and marginal bone loss. A reasonable location of bone resorptions and the stability of the dental implant is predicted, compared with those predicted by the conventional bone remodeling model.
The hybrid model developed here predicted bone healing processes around dental implants more accurately. It can be used to study bone healing before implantation surgery and assist in the customization of dental implants.
在牙种植体骨重塑的数值模型中，短期骨愈合过程的影响通常被忽视。在本研究中，提出了一种混合两步算法，以更准确地预测牙种植体的性能。
首先使用机械调节算法模拟短期骨愈合过程中牙种植体周围的组织分化。然后，将结果用作骨重塑模型的初始状态，以模拟骨骼的长期愈合。该算法通过三维有限元模型实现。
当前的混合模型再现了实验中发现的几个特征，如应力屏蔽效应、高强度骨结缔组织带和边缘骨丢失。与传统骨重塑模型预测的结果相比，预测了骨吸收的合理位置和牙种植体的稳定性。
此处开发的混合模型更准确地预测了牙种植体周围的骨愈合过程。它可用于研究植入手术前的骨愈合，并有助于定制牙种植体。
