Specimen-specific vertebral fracture modeling: a feasibility study using the extended finite element method

Hugo Giambini, Xiaoliang Qin, Dan Dragomir-Daescu, Kai Nan An, Ahmad Nassr

研究成果: Article同行評審

34 引文 斯高帕斯(Scopus)

摘要

Osteoporotic vertebral body fractures are an increasing clinical problem among the aging population. Specimen-specific finite element models, derived from quantitative computed tomography (QCT), have the potential to more accurately predict failure loads in the vertebra. Additionally, the use of extended finite element modeling (X-FEM) allows for a detailed analysis of crack initiation and propagation in various materials. Our aim was to study the feasibility of QCT/X-FEM analysis to predict fracture properties of vertebral bodies. Three cadaveric specimens were obtained, and the L3 vertebrae were excised. The vertebrae were CT scanned to develop computational models and mechanically tested in compression to measure failure load, stiffness and to observe crack location. One vertebra was used for calibration of the material properties from experimental results and CT gray-scale values. The two additional specimens were used to assess the model prediction. The resulting QCT/X-FEM model of the specimen used for calibration had 2 and 4 % errors in stiffness and failure load, respectively, compared with the experiment. The predicted failure loads of the additional two vertebrae were larger by about 41–44 % when compared to the measured values, while the stiffness differed by 129 and 40 %. The predicted fracture patterns matched fairly well with the visually observed experimental cracks. Our feasibility study indicated that the QCT/X-FEM method used to predict vertebral compression fractures is a promising tool to consider in future applications for improving vertebral fracture risk prediction in the elderly.

原文English
頁(從 - 到)583-593
頁數11
期刊Medical and Biological Engineering and Computing
54
發行號4
DOIs
出版狀態Published - 2016 4月 1

All Science Journal Classification (ASJC) codes

  • 生物醫學工程
  • 電腦科學應用

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