Laboratory for Computational Sensing & Robotics, Johns Hopkins University, 3400N Charles Street, Hackerman 128, Baltimore, MD 21218, USA.
Laboratory for Computational Sensing & Robotics, Johns Hopkins University, 3400N Charles Street, Hackerman 128, Baltimore, MD 21218, USA; Johns Hopkins University Applied Physics Laboratory, 11100 Johns Hopkins Rd, Laurel, MD 20723, USA.
J Biomech. 2014 Jul 18;47(10):2237-43. doi: 10.1016/j.jbiomech.2014.05.002. Epub 2014 May 14.
A potential effective treatment for prevention of osteoporotic hip fractures is augmentation of the mechanical properties of the femur by injecting it with agents such as (PMMA) bone cement - femoroplasty. The operation, however, is only in research stage and can benefit substantially from computer planning and optimization. We report the results of computational planning and optimization of the procedure for biomechanical evaluation. An evolutionary optimization method was used to optimally place the cement in finite element (FE) models of seven osteoporotic bone specimens. The optimization, with some inter-specimen variations, suggested that areas close to the cortex in the superior and inferior of the neck and supero-lateral aspect of the greater trochanter will benefit from augmentation. We then used a particle-based model for bone cement diffusion simulation to match the optimized pattern, taking into account the limitations of the actual surgery, including limited volume of injection to prevent thermal necrosis. Simulations showed that the yield load can be significantly increased by more than 30%, using only 9 ml of bone cement. This increase is comparable to previous literature reports where gross filling of the bone was employed instead, using more than 40 ml of cement. These findings, along with the differences in the optimized plans between specimens, emphasize the need for subject-specific models for effective planning of femoral augmentation.
一种潜在的有效治疗方法是通过向股骨注入骨水泥(PMMA)等药物来增强股骨的机械性能,从而预防骨质疏松性髋部骨折 - 股骨成形术。然而,该手术仅处于研究阶段,可以从计算机规划和优化中受益匪浅。我们报告了该手术的生物力学评估的计算规划和优化结果。我们使用进化优化方法在七个骨质疏松骨标本的有限元(FE)模型中优化地放置骨水泥。优化结果(具有一些个体间的差异)表明,颈部的上下侧和大转子的上外侧靠近皮质的区域将受益于增强。然后,我们使用基于粒子的骨水泥扩散模拟模型来匹配优化模式,同时考虑到实际手术的限制,包括为防止热坏死而限制注射体积。模拟结果表明,仅使用 9 毫升骨水泥就可以使屈服载荷显著增加 30%以上。这种增加与以前的文献报告中使用超过 40 毫升的水泥来完全填充骨骼的情况相当。这些发现以及不同标本之间优化方案的差异,强调了需要针对股骨增强进行有效的规划,使用特定于个体的模型。