...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Journal of orthopaedic research >Corroboration of mechanoregulatory algorithms for tissue differentiation during fracture healing: Comparison with in vivo results.
【24h】

Corroboration of mechanoregulatory algorithms for tissue differentiation during fracture healing: Comparison with in vivo results.

机译：骨折愈合过程中用于组织分化的机械调节算法的确证：与体内结果的比较。

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Several mechanoregulation algorithms proposed to control tissue differentiation during bone healing have been shown to accurately predict temporal and spatial tissue distributions during normal fracture healing. As these algorithms are different in nature and biophysical parameters, it raises the question of which reflects the actual mechanobiological processes the best. The aim of this study was to resolve this issue by corroborating the mechanoregulatory algorithms with more extensive in vivo bone healing data from animal experiments. A poroelastic three-dimensional finite element model of an ovine tibia with a 2.4 mm gap and external callus was used to simulate the course of tissue differentiation during fracture healing in an adaptive model. The mechanical conditions applied were similar to those used experimentally, with axial compression or torsional rotation as two distinct cases. Histological data at 4 and 8 weeks, and weekly radiographs, were used for comparison. By applying new mechanical conditions, torsional rotation, the predictions of the algorithms were distinguished successfully. In torsion, the algorithms regulated by strain and hydrostatic pressure failed to predict healing and bone formation as seen in experimental data. The algorithm regulated by deviatoric strain and fluid velocity predicted bridging and healing in torsion, as observed in vivo. The predictions of the algorithm regulated by deviatoric strain alone did not agree with in vivo data. None of the algorithms predicted patterns of healing entirely similar to those observed experimentally for both loading modes. However, patterns predicted by the algorithm based on deviatoric strain and fluid velocity was closest to experimental results. It was the only algorithm able to predict healing with torsional loading as seen in vivo.
机译：提出了几种在骨骼愈合过程中控制组织分化的机械调节算法，可以准确预测正常骨折愈合过程中的时间和空间组织分布。由于这些算法的性质和生物物理参数不同，因此提出了一个问题，即最好地反映实际的机械生物学过程。这项研究的目的是通过使用来自动物实验的更广泛的体内骨骼愈合数据来证实机械调节算法，从而解决这一问题。具有2.4 mm间隙和外部愈伤组织的羊胫骨的多孔弹性三维有限元模型用于在自适应模型中模拟骨折愈合过程中的组织分化过程。所施加的机械条件与实验所用的相似，其中轴向压缩或扭转旋转是两种不同的情况。比较第4周和第8周的组织学数据以及每周的X线照片。通过应用新的机械条件，扭转旋转，成功地区分了算法的预测。在扭转中，如实验数据所示，受应变和静水压力调节的算法无法预测愈合和骨形成。如在体内观察到的那样，由偏应变和流体速度调节的算法预测了扭转中的桥接和愈合。仅由偏应变控制的算法的预测与体内数据不一致。没有一种算法能够预测完全不同于两种加载模式下实验观察到的治愈模式。然而，该算法基于偏应变和流体速度预测的模式最接近实验结果。如在体内所见，这是唯一能够预测扭转载荷治愈的算法。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号