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Optimizing computational methods of modeling vertebroplasty in experimentally augmented human lumbar vertebrae

机译:优化实验性人腰椎椎体成形术的建模计算方法

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摘要

Vertebroplasty has been widely used for the treatment of osteoporotic compression fractures but the efficacy of the technique has been questioned by the outcomes of randomized clinical trials. Finite‐element (FE) models allow an investigation into the structural and geometric variation that affect the response to augmentation. However, current specimen‐specific FE models are limited due to their poor reproduction of cement augmentation behavior. The aims of this study were to develop new methods of modeling the vertebral body in both a nonaugmented and augmented state. Experimental tests were conducted using human lumbar spine vertebral specimens. These tests included micro‐computed tomography imaging, mechanical testing, augmentation with cement, reimaging, and retesting. Specimen‐specific FE models of the vertebrae were made comparing different approaches to capturing the bone material properties and to modeling the cement augmentation region. These methods significantly improved the modeling accuracy of nonaugmented vertebrae. Methods that used the registration of multiple images (pre‐ and post‐augmentation) of a vertebra achieved good agreement between augmented models and their experimental counterparts in terms of predictions of stiffness. Such models allow for further investigation into how vertebral variation influences the mechanical outcomes of vertebroplasty.
机译:椎体成形术已广泛用于治疗骨质疏松性压缩性骨折,但该技术的有效性受到随机临床试验结果的质疑。有限元(FE)模型可以研究影响增强响应的结构和几何变化。但是,当前的特定样品有限元模型由于其水泥增强行为的再现性较差而受到限制。这项研究的目的是开发一种在非增强和增强状态下对椎体建模的新方法。使用人的腰椎脊椎标本进行了实验测试。这些测试包括微计算机断层扫描成像,机械测试,水泥增强,重新成像和重新测试。通过比较不同的方法来捕获骨骼材料属性和对水泥填充区域进行建模,从而制作出了特定于样品的椎体有限元模型。这些方法大大提高了非增强椎骨的建模精度。在刚度的预测方面,使用椎骨的多个图像(增生前后)进行配准的方法在增强模型和实验模型之间取得了良好的一致性。这种模型允许进一步研究椎骨变化如何影响椎体成形术的机械结果。

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