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一种定量评估骨水泥膝关节置换术后临近骨小梁吸收的新方法。

A new approach to quantify trabecular resorption adjacent to cemented knee arthroplasty.

机构信息

Department of Orthopedic Surgery, SUNY Upstate Medical University, Syracuse, Syracuse, New York 13210, USA.

出版信息

J Biomech. 2012 Feb 23;45(4):711-5. doi: 10.1016/j.jbiomech.2011.12.008. Epub 2012 Jan 9.

Abstract

A new micro-computed tomography (μCT) image processing approach to estimate the loss of cement-bone interlock was developed using the concept that PMMA cement flows and cures around trabeculae during the total knee arthroplasty procedure. The initial mold shape of PMMA cement was used to estimate the amount of interdigitated bone at the time of implantation and following in vivo service using enbloc human postmortem retrievals. Laboratory prepared specimens, where there would be no biological bone resorption, were used as controls to validate the approach and estimate errors. The image processing technique consisted of identifying bone and cement from the μCT scan set, dilation of the cement to identify the cement cavity space, and Boolean operations to identify the different components of the interdigitated cement-bone regions. For laboratory prepared specimens, there were small errors in the estimated resorbed bone volume fraction (reBVfr=0.11 ± 0.09) and loss in contact area fraction (CAfr=0.06 ± 0.15). These values would be zero if there were no error in the method. For the postmortem specimens, the resorbed volume fraction (reBVfr=0.85 ± 0.16) was large, meaning that only 15% of the cement mold shape was still filled with bone. The loss of contact area fraction (CAfr=0.84 ± 0.17) was similarly large. This new approach provides a convenient method to visualize and quantify trabecular bone loss from interdigitated regions from postmortem retrievals. The technique also illustrates for the first time that there are dramatic changes in how bone is fixed to cement following in vivo service.

摘要

一种新的微计算机断层扫描 (μCT) 图像处理方法,用于估计骨水泥-骨锁定的丧失,该方法基于 PMMA 水泥在全膝关节置换过程中围绕小梁流动和固化的概念。使用 PMMA 水泥的初始模具形状来估计植入时和在体内使用整块人尸取出物进行后续服务时交错骨的数量。实验室制备的标本,其中不会发生生物性骨吸收,用作对照来验证方法并估计误差。图像处理技术包括从 μCT 扫描集中识别骨和水泥、扩大水泥以识别水泥腔空间,以及使用布尔运算来识别交错水泥-骨区域的不同成分。对于实验室制备的标本,估计的吸收骨体积分数 (reBVfr=0.11 ± 0.09) 和接触面积分数损失 (CAfr=0.06 ± 0.15) 存在小误差。如果方法没有误差,这些值将为零。对于尸检标本,吸收体积分数 (reBVfr=0.85 ± 0.16) 较大,这意味着只有 15%的水泥模具形状仍被骨填充。接触面积分数损失 (CAfr=0.84 ± 0.17) 也同样较大。这种新方法提供了一种方便的方法,可以从尸检取出物的交错区域可视化和量化小梁骨的丢失。该技术还首次表明,在体内使用后,骨与水泥的固定方式发生了显著变化。

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