Varghese Vicky, Ramu Palaniappan, Krishnan Venkatesh, Saravana Kumar Gurunathan
Department of Biotechnology, Indian Institute of Technology Madras, Chennai, Tamil Nadu, India.
Department of Engineering Design, Indian Institute of Technology Madras, Chennai, Tamil Nadu, India.
Comput Methods Programs Biomed. 2016 Dec;137:11-22. doi: 10.1016/j.cmpb.2016.08.023. Epub 2016 Sep 6.
Pedicle screw instrumentation is widely used in the treatment of spinal disorders and deformities. Currently, the surgeon decides the holding power of instrumentation based on the perioperative feeling which is subjective in nature. The objective of the paper is to develop a surrogate model which will predict the pullout strength of pedicle screw based on density, insertion angle, insertion depth and reinsertion.
A Taguchi's orthogonal array was used to design an experiment to find the factors effecting pullout strength of pedicle screw. The pullout studies were carried using polyaxial pedicle screw on rigid polyurethane foam block according to American society for testing of materials (ASTM F543). Analysis of variance (ANOVA) and Tukey's honestly significant difference multiple comparison tests were done to find factor effect. Based on the experimental results, surrogate models based on Krigging, polynomial response surface and radial basis function were developed for predicting the pullout strength for different combination of factors. An ensemble of these surrogates based on weighted average surrogate model was also evaluated for prediction.
Density, insertion depth, insertion angle and reinsertion have a significant effect (p <0.05) on pullout strength of pedicle screw. Weighted average surrogate performed the best in predicting the pull out strength amongst the surrogate models considered in this study and acted as insurance against bad prediction.
A predictive model for pullout strength of pedicle screw was developed using experimental values and surrogate models. This can be used in pre-surgical planning and decision support system for spine surgeon.
椎弓根螺钉内固定术广泛应用于脊柱疾病和畸形的治疗。目前,外科医生根据术中主观感受来决定内固定的把持力。本文的目的是建立一个替代模型,该模型将基于密度、植入角度、植入深度和再次植入情况来预测椎弓根螺钉的拔出强度。
采用田口正交试验设计来找出影响椎弓根螺钉拔出强度的因素。根据美国材料与试验协会(ASTM F543)标准,在硬质聚氨酯泡沫块上使用多轴椎弓根螺钉进行拔出试验研究。进行方差分析(ANOVA)和Tukey真实显著差异多重比较试验以确定因素的影响。基于实验结果,开发了基于克里金法、多项式响应面法和径向基函数的替代模型,用于预测不同因素组合下的拔出强度。还评估了基于加权平均替代模型的这些替代模型的集合预测效果。
密度、植入深度、植入角度和再次植入对椎弓根螺钉的拔出强度有显著影响(p <0.05)。在本研究考虑的替代模型中,加权平均替代模型在预测拔出强度方面表现最佳,并可作为防止错误预测的保障。
利用实验值和替代模型建立了椎弓根螺钉拔出强度的预测模型。这可用于脊柱外科医生的术前规划和决策支持系统。