Sisodia Gurudattsingh B
Gurudattsingh B Sisodia, Institute of Medical and Biological Engineering, University of Leeds, Leeds LS2 9JT, United Kingdom.
World J Orthop. 2013 Oct 18;4(4):241-7. doi: 10.5312/wjo.v4.i4.241.
Lumbar vertebral body (VB) fractures are increasingly common in an ageing population that is at greater risk of osteoporosis and metastasis. This review aims to identify different models, as alternatives to bone mineral density (BMD), which may be applied in order to predict VB failure load and fracture risk. The most representative models are those that take account of normal spinal kinetics and assess the contribution of the cortical shell to vertebral strength. Overall, predictive models for VB fracture risk should encompass a range of important parameters including BMD, geometric measures and patient-specific factors. As interventions like vertebroplasty increase in popularity for VB fracture treatment and prevention, such models are likely to play a significant role in the clinical decision-making process. More biomechanical research is required, however, to reduce the risks of post-operative adjacent VB fractures.
腰椎椎体(VB)骨折在骨质疏松和转移风险更高的老年人群中越来越常见。本综述旨在确定不同的模型,作为骨密度(BMD)的替代方法,可用于预测椎体破坏载荷和骨折风险。最具代表性的模型是那些考虑正常脊柱动力学并评估皮质骨壳对椎体强度贡献的模型。总体而言,椎体骨折风险的预测模型应涵盖一系列重要参数,包括骨密度、几何测量和患者特定因素。随着椎体成形术等干预措施在椎体骨折治疗和预防中的应用越来越广泛,此类模型可能在临床决策过程中发挥重要作用。然而,需要更多的生物力学研究来降低术后相邻椎体骨折的风险。