Human Performance Laboratory, Faculty of Kinesiology, University of Calgary, Calgary, Canada.
McCaig Institute for Bone and Joint Health, University of Calgary, Calgary, Canada.
Ann Biomed Eng. 2021 Feb;49(2):769-779. doi: 10.1007/s10439-020-02606-w. Epub 2020 Sep 14.
Spinal cord injury (SCI) is associated with bone fragility and fractures around the knee. The purpose of this investigation was to validate a computed tomography (CT) based finite element (FE) model of the proximal tibia and distal femur under biaxial loading, and to retrospectively quantify the relationship between model predictions and fracture incidence. Twenty-six cadaveric tibiae and femora (n = 13 each) were loaded to 300 N of compression, then internally rotated until failure. FE predictions of torsional stiffness (K) and strength (T) explained 74% (n = 26) and 93% (n = 7) of the variation in experimental measurements, respectively. Univariate analysis and logistic regression were subsequently used to determine if FE predictions and radiographic measurements from CT and dual energy X-ray absorptiometry (DXA) were associated with prevalent lower-limb fracture in 50 individuals with SCI (n = 14 fractures). FE and CT measures, but not DXA, were lower in individuals with fracture. FE predictions of T at the tibia demonstrated the highest odds ratio (4.98; p = 0.006) and receiver operating characteristic (0.84; p = 0.008) but did not significantly outperform other metrics. In conclusion, CT-based FE model predictions were associated with prevalent fracture risk after SCI; this technique could be a powerful tool in future clinical research.
脊髓损伤(SCI)与膝关节周围的骨脆弱和骨折有关。本研究的目的是验证一种基于计算机断层扫描(CT)的双轴加载下胫骨近端和股骨远端的有限元(FE)模型,并回顾性地量化模型预测与骨折发生率之间的关系。26 个尸体胫骨和股骨(n=13 个胫骨,n=13 个股骨)在 300N 的压缩下加载,然后向内旋转直至失效。FE 预测的扭转刚度(K)和强度(T)分别解释了实验测量值的 74%(n=26)和 93%(n=7)的变化。随后进行单变量分析和逻辑回归,以确定在 50 名 SCI 患者(n=14 例骨折)中,FE 预测值和来自 CT 和双能 X 射线吸收法(DXA)的放射学测量值是否与下肢骨折的普遍发生有关。在有骨折的个体中,FE 和 CT 测量值,但不是 DXA,均较低。FE 预测的胫骨 T 值具有最高的优势比(4.98;p=0.006)和受试者工作特征(0.84;p=0.008),但并不显著优于其他指标。总之,基于 CT 的 FE 模型预测与 SCI 后的骨折风险有关;这种技术可能是未来临床研究中的有力工具。