{"title":"Comparative analysis of tissue ingrowth in printable porous lattice structured implants: An in silico study","authors":"Minku, Tanushi Jain, Rajesh Ghosh","doi":"10.1016/j.mtla.2024.102207","DOIUrl":null,"url":null,"abstract":"<div><p>The application of lattice structures in porous titanium implants has emerged as a promising approach in the load-bearing orthopaedic implant industry. Complex-shaped medical implants have been effectively produced using metal AM techniques. However, there remains ambiguity regarding the suitable porous lattice structure, which significantly influences bone formation. The study aims to evaluate and compare the tissue ingrowth capability of different porous lattice structure implants on their surface using mechanoregulatory tissue differentiation algorithm. Computer-aided design (CAD) models of five topologies, namely cubic, X-shape, cubic centre, face centre, and octet, were created using Solidworks with similar porosities (60 %). Further, the study entailed the 3D microscale modelling of regular porous structured implants with five distinct repeating cells on their surface were constructed using Solidworks. Additionally, five FE microscale models of bone-implant interface were modelled, with each model representing a distinct porous lattice structure implant. Lattice tissue ingrowth behaviour is evaluated by employing a mechanobiological algorithm to every FE microscale model. The bone ingrowth efficiencies of the five porous lattice structure implants were ranked. By observing the results, it was found that each lattice structure displays distinct tissue differentiation behaviour. Results demonstrate that highest bone tissue ingrowth was seen in implant with cubic lattice followed by FCC, octet, cubic centre, and X-shape lattice structure implant. Among the five lattice structure implants analysed, the X-shape lattice structure implant promotes lowest bone tissue ingrowth. Overall, the findings derived from this study have the potential to improve Ti6Al4V prosthetic devices inserted in different human anatomical regions.</p></div>","PeriodicalId":47623,"journal":{"name":"Materialia","volume":"37 ","pages":"Article 102207"},"PeriodicalIF":3.0000,"publicationDate":"2024-08-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Materialia","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2589152924002047","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"MATERIALS SCIENCE, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0
Abstract
The application of lattice structures in porous titanium implants has emerged as a promising approach in the load-bearing orthopaedic implant industry. Complex-shaped medical implants have been effectively produced using metal AM techniques. However, there remains ambiguity regarding the suitable porous lattice structure, which significantly influences bone formation. The study aims to evaluate and compare the tissue ingrowth capability of different porous lattice structure implants on their surface using mechanoregulatory tissue differentiation algorithm. Computer-aided design (CAD) models of five topologies, namely cubic, X-shape, cubic centre, face centre, and octet, were created using Solidworks with similar porosities (60 %). Further, the study entailed the 3D microscale modelling of regular porous structured implants with five distinct repeating cells on their surface were constructed using Solidworks. Additionally, five FE microscale models of bone-implant interface were modelled, with each model representing a distinct porous lattice structure implant. Lattice tissue ingrowth behaviour is evaluated by employing a mechanobiological algorithm to every FE microscale model. The bone ingrowth efficiencies of the five porous lattice structure implants were ranked. By observing the results, it was found that each lattice structure displays distinct tissue differentiation behaviour. Results demonstrate that highest bone tissue ingrowth was seen in implant with cubic lattice followed by FCC, octet, cubic centre, and X-shape lattice structure implant. Among the five lattice structure implants analysed, the X-shape lattice structure implant promotes lowest bone tissue ingrowth. Overall, the findings derived from this study have the potential to improve Ti6Al4V prosthetic devices inserted in different human anatomical regions.
在多孔钛植入物中应用晶格结构已成为承重矫形植入物行业中一种前景广阔的方法。利用金属 AM 技术已经有效地生产出了形状复杂的医疗植入物。然而,关于合适的多孔晶格结构仍不明确,因为它对骨形成有重大影响。本研究旨在利用机械调节组织分化算法,评估和比较不同多孔晶格结构植入体表面的组织生长能力。研究人员使用 Solidworks 制作了五种拓扑结构的计算机辅助设计(CAD)模型,即立方体、X 形、立方体中心、面中心和八面体,孔隙率(60%)相似。此外,研究还使用 Solidworks 构建了规则多孔结构植入体的三维微观模型,植入体表面有五个不同的重复单元。此外,还建立了五个骨-植入物界面的 FE 微尺度模型,每个模型都代表一个不同的多孔晶格结构植入物。通过对每个 FE 微尺度模型采用机械生物学算法,对晶格组织的生长行为进行了评估。对五种多孔格状结构种植体的骨生长效率进行了排名。通过观察结果发现,每种晶格结构都显示出不同的组织分化行为。结果表明,立方晶格种植体的骨组织生长率最高,其次是 FCC、八面体、立方中心和 X 形晶格结构种植体。在分析的五种晶格结构种植体中,X 形晶格结构种植体促进骨组织生长的作用最小。总之,这项研究的结果有望改善植入不同人体解剖区域的 Ti6Al4V 修复装置。
期刊介绍:
Materialia is a multidisciplinary journal of materials science and engineering that publishes original peer-reviewed research articles. Articles in Materialia advance the understanding of the relationship between processing, structure, property, and function of materials.
Materialia publishes full-length research articles, review articles, and letters (short communications). In addition to receiving direct submissions, Materialia also accepts transfers from Acta Materialia, Inc. partner journals. Materialia offers authors the choice to publish on an open access model (with author fee), or on a subscription model (with no author fee).