Department of Biomedical Engineering, University of California Davis, Davis, CA, USA.
Department of Mechanical Engineering, University of California Davis, Davis, CA, USA.
Comput Methods Biomech Biomed Engin. 2021 Jul;24(9):1019-1025. doi: 10.1080/10255842.2020.1865324. Epub 2021 Jan 5.
The change in maximum total point motion (ΔMTPM) is used to predict long-term risk of tibial baseplate loosening, however, effects of registration error on ΔMTPM have not been quantified for marker-based and model-based radiostereometric analysis (RSA). Registration errors for marker-based and model-based RSA were applied to a stable tibial baseplate in MATLAB simulations to determine the bias and precision in ΔMTPM and the proportions of baseplates which fell above the continuous migration stability limit. No bias error occurred, however, the precision of ΔMTPM was twice as large for model-based RSA than marker-based RSA, resulting in about 25% of stable baseplates falling above the continuous migration stability limit for model-based RSA. Reseachers should be aware of these limitations when applying this stability limit to assess tibial baseplate stability using model-based RSA.
最大总点运动变化(ΔMTPM)用于预测胫骨基板松动的长期风险,然而,基于标记和基于模型的放射立体分析(RSA)中注册误差对ΔMTPM 的影响尚未量化。在 MATLAB 模拟中,将基于标记和基于模型的 RSA 的注册误差应用于稳定的胫骨基板,以确定 ΔMTPM 的偏差和精度,以及超过连续迁移稳定性极限的基板比例。虽然没有出现偏差误差,但是基于模型的 RSA 的 ΔMTPM 精度是基于标记的 RSA 的两倍,导致大约 25%的稳定基板对于基于模型的 RSA 超过连续迁移稳定性极限。当使用基于模型的 RSA 来评估胫骨基板稳定性时,研究人员应该注意到这些限制。