Study on Optimization of the Structural Mechanical Properties of Personalized Porous Implant Prosthesis

IF 5.4 2区 医学 Q2 MATERIALS SCIENCE, BIOMATERIALS ACS Biomaterials Science & Engineering Pub Date : 2024-10-30 DOI:10.1021/acsbiomaterials.4c0026810.1021/acsbiomaterials.4c00268
Ye Zhu, Yong Jiang, Qian Cao*, Hongchi Liu, Lei Lei and Tianmin Guan, 
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Abstract

Porous implant prostheses can effectively reduce the stress shielding effect. Still, the single elastic modulus prosthesis cannot adapt to the individual skeletal variability, so it is necessary to optimize the structural parameters of the prosthesis to overcome the individual variability. In this regard, this study analyzes the law of structural parameters and mechanical properties after selecting the type of porous structure (diamond structure). It proposes the optimization method of the structural parameters on this basis. First, the functional relationship equations between the unit mass of the porous implant prosthesis, the elastic modulus of the porous implant prosthesis, and the structural parameters were established respectively. Second, the support rod length and radius of the porous implant prosthesis are optimized by a genetic algorithm to form the optimization design method of the porous implant prosthesis. Finally, the feasibility and effectiveness of the optimized design of the porosity implanted prosthesis were verified by animal experiments, and the optimized implanted prosthesis with optimized structural parameters increased bone growth by 20–30% compared to the control group in the animal body. The proposed method provides a theoretical basis and technical support for the rehabilitation of patients and the production of prostheses by physicians.

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个性化多孔植入假体结构力学性能优化研究
多孔种植假体可以有效降低应力屏蔽效应。然而,单一弹性模量的假体无法适应个体骨骼的差异性,因此有必要优化假体的结构参数以克服个体差异性。为此,本研究分析了选择多孔结构(菱形结构)类型后结构参数与力学性能的规律。在此基础上提出了结构参数的优化方法。首先,分别建立了多孔种植体单位质量、多孔种植体弹性模量和结构参数之间的函数关系式。其次,通过遗传算法对多孔种植假体的支撑杆长度和半径进行优化,形成多孔种植假体的优化设计方法。最后,通过动物实验验证了多孔植入假体优化设计的可行性和有效性,优化结构参数的植入假体在动物体内的骨生长量比对照组增加了20%-30%。所提出的方法为患者康复和医生制作假体提供了理论依据和技术支持。
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来源期刊
ACS Biomaterials Science & Engineering
ACS Biomaterials Science & Engineering Materials Science-Biomaterials
CiteScore
10.30
自引率
3.40%
发文量
413
期刊介绍: ACS Biomaterials Science & Engineering is the leading journal in the field of biomaterials, serving as an international forum for publishing cutting-edge research and innovative ideas on a broad range of topics: Applications and Health – implantable tissues and devices, prosthesis, health risks, toxicology Bio-interactions and Bio-compatibility – material-biology interactions, chemical/morphological/structural communication, mechanobiology, signaling and biological responses, immuno-engineering, calcification, coatings, corrosion and degradation of biomaterials and devices, biophysical regulation of cell functions Characterization, Synthesis, and Modification – new biomaterials, bioinspired and biomimetic approaches to biomaterials, exploiting structural hierarchy and architectural control, combinatorial strategies for biomaterials discovery, genetic biomaterials design, synthetic biology, new composite systems, bionics, polymer synthesis Controlled Release and Delivery Systems – biomaterial-based drug and gene delivery, bio-responsive delivery of regulatory molecules, pharmaceutical engineering Healthcare Advances – clinical translation, regulatory issues, patient safety, emerging trends Imaging and Diagnostics – imaging agents and probes, theranostics, biosensors, monitoring Manufacturing and Technology – 3D printing, inks, organ-on-a-chip, bioreactor/perfusion systems, microdevices, BioMEMS, optics and electronics interfaces with biomaterials, systems integration Modeling and Informatics Tools – scaling methods to guide biomaterial design, predictive algorithms for structure-function, biomechanics, integrating bioinformatics with biomaterials discovery, metabolomics in the context of biomaterials Tissue Engineering and Regenerative Medicine – basic and applied studies, cell therapies, scaffolds, vascularization, bioartificial organs, transplantation and functionality, cellular agriculture
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