Department of Mechanical Engineering, University of Birmingham, Birmingham, UK.
Biomechatronics group, Media Lab, Massachusetts Institute of Technology, Cambridge, MA, USA.
J R Soc Interface. 2018 Jan;15(138). doi: 10.1098/rsif.2017.0829.
Low back pain is a major cause of disability and requires the development of new devices to treat pathologies and improve prognosis following surgery. Understanding the effects of new devices on the biomechanics of the spine is crucial in the development of new effective and functional devices. The aim of this study was to develop a preliminary parametric, scalable and anatomically accurate finite-element model of the lumbar spine allowing for the evaluation of the performance of spinal devices. The principal anatomical surfaces of the lumbar spine were first identified, and then accurately fitted from a previous model supplied by S14 Implants (Bordeaux, France). Finally, the reconstructed model was defined according to 17 parameters which are used to scale the model according to patient dimensions. The developed model, available as a toolbox named the lumbar model generator, enables generating a population of models using subject-specific dimensions obtained from data scans or averaged dimensions evaluated from the correlation analysis. This toolbox allows patient-specific assessment, taking into account individual morphological variation. The models have applications in the design process of new devices, evaluating the biomechanics of the spine and helping clinicians when deciding on treatment strategies.
下腰痛是导致残疾的主要原因,需要开发新的设备来治疗疾病,并改善手术后的预后。了解新设备对脊柱生物力学的影响对于开发新的有效和功能性设备至关重要。本研究旨在开发一个初步的参数化、可缩放和解剖精确的腰椎有限元模型,以评估脊柱设备的性能。首先确定了腰椎的主要解剖表面,然后从 S14 Implants(法国波尔多)提供的先前模型中进行了精确拟合。最后,根据 17 个参数定义了重建模型,这些参数用于根据患者尺寸对模型进行缩放。开发的模型可作为一个名为“腰椎模型生成器”的工具箱使用,该工具箱可以使用从数据扫描中获得的特定于患者的尺寸或从相关分析中评估的平均尺寸来生成患者特定的模型。该工具箱可以考虑个体形态变化,进行特定于患者的评估。这些模型可应用于新设备的设计过程,评估脊柱的生物力学,并在临床医生决定治疗策略时提供帮助。