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Computational Simulation for Osteoporosis at the Basic Multicellular Unit Level

机译:基本多细胞单位水平骨质疏松的计算模拟

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In this study,we built computational simulation models of osteoporosis for both cortical bone and trabecular bone at the basic multicellular unit (BMU) level according to bone functional adaptation and Frost’s mechanostat theory.For cortical bone,cortical thickness was taken as controlling variable,and for trabecular bone,porosity was.The coupling relationship between mechanical factor and biological factor was fulfilled by osteoblastic formation threshold and BMU activation threshold.For cortical bone remodeling model,the analysis was performed on a representative rectangular slice of the cross section of cortical bone volume.The pQCT data of femur and tibia by Eser et al.[1] were used as an example of mechanical disuse to validate the model.For trabecular bone remodeling model,the analysis was done on a representative cross section of 100 mm2 of trabecular bone in the lumbar spine of a postmenopausal woman.The clinical data by Recker et al.[2] were used for the comparison of our simulation outcomes with clinical data.Results:For the femur cortical model,the simulated steady state value of cortical thickness was 2.04mm and the clinical data was 2.17mm with relative difference of 5.99%.For the tibia cortical model,the simulated steady state value was 4.13mm and the clinical data was 3.94mm with relative difference of 4.82%.Trabecular bone:When disuse was maintained,a number of different magnitudes of changes in osteoblastic formation threshold and/or changes in BMU activation threshold could give results that were consistent with the bone loss patterns seen at menopause.The computational models for osteoporosis occurred at cortical and trabecular bone developed in this study can be further used to quantify and predict the effects of mechanical and biological factors on cortical thickness and trabecular architecture,and help us to better understand the relationship between bone morphology and mechanical and biological environment.
机译:在这项研究中,我们根据骨骼功能适应性和Frost的力学稳态理论,在基本多细胞单位(BMU)水平上建立了皮质骨和小梁骨骨质疏松的计算模拟模型。对于皮质骨,将皮质厚度作为控制变量,并且通过成骨细胞形成阈值和BMU激活阈值来满足机械因素和生物学因素之间的耦合关系。对于皮质骨重塑模型,对皮质骨体积的代表性矩形切片进行分析.Eser等[1]的股骨和胫骨的pQCT数据。以机械废止为例验证模型。对于小梁骨重塑模型,以绝经后妇女腰椎中小梁骨100 mm2的代表性横截面进行分析。Recker等人的临床数据。[2]结果:对于股骨皮质模型,模拟的稳态皮质厚度为2.04mm,临床数据为2.17mm,相对差异为5.99%。模型,模拟稳态值为4.13mm,临床数据为3.94mm,相对差异为4.82%。阈值可以提供与更年期看到的骨质流失模式相符的结果。本研究开发的骨质疏松症的计算模型发生在皮质和小梁骨中,可以进一步用于量化和预测机械和生物学因素对皮质厚度和骨密度的影响。小梁结构,并帮助我们更好地了解骨骼形态与机械和生物环境之间的关系新台币。

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