Analysis of the Osteogenic Effects of Biomaterials Using Numerical Simulation.
We describe the development of an optimization algorithm for determining the effects of different properties of implanted biomaterials on bone growth, based on the finite element method and bone self-optimization theory. The rate of osteogenesis and the bone density distribution of the implanted bio...
| Publicado en: | BioMed Research International Vol. 2017; pp. 1 - 8 |
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| Autores principales: | , , , , |
| Formato: | diagnostic images equations & formulas research tables/charts Journal Article |
| Publicado: |
Wiley-Blackwell
1/2/2017
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=120493690&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 120493690 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 23146133 FT2T jtl: BioMed Research International issn: 23146133 maglogo: N pubinfo: dt: 1/2/2017 vid: 2017 pid: 480 pub: Wiley-Blackwell place: Malden, Massachusetts artinfo: ui: 120493690 120493690 120493690 10.1155/2017/6981586 120493690 ppf: 1 ppct: 7 formats: fmt: @attributes: type: P tig: atl: Analysis of the Osteogenic Effects of Biomaterials Using Numerical Simulation. aug: au: Wang, Lan Zhang, Jie Zhang, Wen Yang, Hui-Lin Luo, Zong-Ping affil: Orthopaedic Institute, Soochow University, Suzhou, China sug: subj: Osteogenesis Biocompatible Materials Computer Simulation Algorithms Prostheses and Implants Methods Bone Remodeling Finite Element Analysis Bone Density Femur Tomography, X-Ray Computed Methods Animal Studies Rats Comparative Studies Biomechanics Models, Structural Human Adult Data Analysis Software Descriptive Statistics Theory Funding Source Adult: 19-44 years ab: We describe the development of an optimization algorithm for determining the effects of different properties of implanted biomaterials on bone growth, based on the finite element method and bone self-optimization theory. The rate of osteogenesis and the bone density distribution of the implanted biomaterials were quantitatively analyzed. Using the proposed algorithm, a femur with implanted biodegradable biomaterials was simulated, and the osteogenic effects of different materials were measured. Simulation experiments mainly considered variations in the elastic modulus (20–3000 MPa) and degradation period (10, 20, and 30 days) for the implanted biodegradable biomaterials. Based on our algorithm, the osteogenic effects of the materials were optimal when the elastic modulus was 1000 MPa and the degradation period was 20 days. The simulation results for the metaphyseal bone of the left femur were compared with micro-CT images from rats with defective femurs, which demonstrated the effectiveness of the algorithm. The proposed method was effective for optimization of the bone structure and is expected to have applications in matching appropriate bones and biomaterials. These results provide important insights into the development of implanted biomaterials for both clinical medicine and materials science. pubtype: Academic Journal doctype: diagnostic images equations & formulas research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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