Department of Oncology and Metabolism, Mellanby Centre for Bone Research, University of Sheffield, UK; INSIGNEO Institute for in Silico Medicine, University of Sheffield, UK.
National Center for Spinal Disorders, Buda Health Center, Budapest, Hungary; School of PhD Studies, Semmelweis University, Budapest, Hungary.
J Mech Behav Biomed Mater. 2019 Oct;98:268-290. doi: 10.1016/j.jmbbm.2019.06.027. Epub 2019 Jun 29.
The assessment of risk of vertebral fracture in patients with lytic metastases is challenging, due to the complexity in modelling the mechanical properties of this heterogeneous material. Currently clinical assessment of patients at high risk of fracture is based on the Spinal Instability Neoplastic Score (SINS), which however in many cases does not provide clear guidelines. The goal of this study was to develop a computational approach to provide a comparative biomechanical assessment of vertebrae with lytic lesions with respect to the adjacent controls and highlight the critical vertebrae. The computed tomography images of the thoracolumbar spine of eight patients suffering of vertebral lytic metastases with SINS between 7 and 12 (indeterminate unstable) were analysed. For each patient one or two vertebrae with lytic lesions were modelled and the closest vertebrae without lesions were considered as control. Metastatic vertebrae (N = 12) and controls (N = 18) were converted to subject-specific, heterogeneous, isotropic, nonlinear finite element models for simulating uniaxial compression. Densitometric and mechanical properties were computed for each vertebra. In average, similar mechanical properties were found for vertebrae with lytic lesions and controls (e.g. ultimate force equal to 6.2 ± 2.7 kN for vertebrae with lytic lesions and to 6.2 ± 3.0 kN for control vertebrae). Only in three patients the vertebrae with lytic lesions were found to be mechanically weaker (-19% to -75% difference for ultimate stress) than the controls. In conclusion, in this study we presented an approach to estimate the mechanical competence of vertebrae with lytic metastases. It remains to be investigated in a clinical study if this method, together with the SINS, can better classify patients with vertebrae with lytic lesions at high risk of fracture.
评估溶骨性转移患者的椎体骨折风险具有挑战性,这是因为这种不均匀材料的力学性能建模较为复杂。目前,对高骨折风险患者的临床评估基于脊柱不稳定肿瘤评分(SINS),但在许多情况下,该评分并不能提供明确的指导。本研究旨在开发一种计算方法,对溶骨性病变椎体与相邻对照椎体进行比较生物力学评估,并突出关键椎体。对 8 例 SINS 评分在 7 至 12 分之间(不确定不稳定)的溶骨性转移患者的胸腰椎 CT 图像进行了分析。对每个患者,选择一个或两个溶骨性病变椎体进行建模,并将最近的无病变椎体视为对照。将转移性椎体(N=12)和对照组(N=18)转换为用于模拟单轴压缩的特定于个体、不均匀、各向同性、非线性有限元模型。对每个椎体进行密度和力学性能计算。平均而言,溶骨性病变椎体和对照组的力学性能相似(例如,溶骨性病变椎体的极限力为 6.2±2.7 kN,对照组椎体的极限力为 6.2±3.0 kN)。只有在 3 名患者中发现溶骨性病变椎体的力学性能比对照组弱(极限应力差异为-19%至-75%)。总之,本研究提出了一种估计溶骨性转移椎体力学性能的方法。需要进一步在临床研究中探讨该方法与 SINS 联合使用是否能更好地对具有溶骨性病变椎体的高骨折风险患者进行分类。