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Structural parameters determining the strength of the porcine vertebral body affected by tumours

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  • Francisco Sahli
  • Jorge Cuellar
  • Alfonso Pérez
  • Aaron J. Fields
  • Mauricio Campos
  • Jorge Ramos-Grez

Abstract

Spinal metastatic disease could lead to catastrophic consequences for the patient. However, the structural parameters that explain the weakening of vertebrae affected by tumours are not fully understood. In this study, we developed a specimen-specific finite element model to predict the strength of the porcine vertebra with simulated tumours and used it to find the structural parameters determining the strength. We validated our model with mechanical testing and then we analysed the compressive strength of intact vertebrae and seven defects with different size and shape. The results showed that the minimum bone mineral mass of the cross section and areal defect fraction were the best predictors of the normalized strength. We also found that areal parameters appeared to be better predictors than the volumetric ones. In conclusion, reduction in bone strength for vertebrae weakened by metastatic tumours is mostly associated with decrease in the mechanical properties of the cross section.

Suggested Citation

  • Francisco Sahli & Jorge Cuellar & Alfonso Pérez & Aaron J. Fields & Mauricio Campos & Jorge Ramos-Grez, 2015. "Structural parameters determining the strength of the porcine vertebral body affected by tumours," Computer Methods in Biomechanics and Biomedical Engineering, Taylor & Francis Journals, vol. 18(8), pages 890-899, June.
    • Handle: RePEc:taf:gcmbxx:v:18:y:2015:i:8:p:890-899
    DOI: 10.1080/10255842.2013.855728
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    References listed on IDEAS

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    1. Yan Chevalier & Mathieu Charlebois & Dieter Pahr & Peter Varga & Paul Heini & Erich Schneider & Philippe Zysset, 2008. "A patient-specific finite element methodology to predict damage accumulation in vertebral bodies under axial compression, sagittal flexion and combined loads," Computer Methods in Biomechanics and Biomedical Engineering, Taylor & Francis Journals, vol. 11(5), pages 477-487.
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