QCT-based finite element models predict human vertebral strength in vitro significantly better than simulated DEXA View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2012-02

AUTHORS

E. Dall’Ara, D. Pahr, P. Varga, F. Kainberger, P. Zysset

ABSTRACT

SUMMARY: While dual energy X-ray absorptiometry (DXA) is considered the gold standard to evaluate fracture risk in vivo, in the present study, the quantitative computed tomography (QCT)-based finite element modeling has been found to provide a quantitative and significantly improved prediction of vertebral strength in vitro. This technique might be used in vivo considering however the much larger doses of radiation needed for QCT. INTRODUCTION: Vertebral fracture is a common medical problem in osteoporotic individuals. Bone mineral density (BMD) is the gold standard measure to evaluate fracture risk in vivo. QCT-based finite element (FE) modeling is an engineering method to predict vertebral strength. The aim of this study was to compare the ability of FE and clinical diagnostic tools to predict vertebral strength in vitro using an improved testing protocol. METHODS: Thirty-seven vertebral sections were scanned with QCT and high resolution peripheral QCT (HR-pQCT). Bone mineral content (BMC), total BMD (tBMD), areal BMD from lateral (aBMD-lat), and anterior-posterior (aBMD-ap) projections were evaluated for both resolutions. Wedge-shaped fractures were then induced in each specimen with a novel testing setup. Nonlinear homogenized FE models (hFE) and linear micro-FE (μFE) were generated from QCT and HR-pQCT images, respectively. For experiments and models, both structural properties (stiffness, ultimate load) and material properties (apparent modulus and strength) were computed and compared. RESULTS: Both hFE and μFE models predicted material properties better than structural ones and predicted strength significantly better than aBMD computed from QCT and HR-pQCT (hFE: R² = 0.79, μFE: R² = 0.88, aBMD-ap: R² = 0.48-0.47, aBMD-lat: R² = 0.41-0.43). Moreover, the hFE provided reasonable quantitative estimations of the experimental mechanical properties without fitting the model parameters. CONCLUSIONS: The QCT-based hFE method provides a quantitative and significantly improved prediction of vertebral strength in vitro when compared to simulated DXA. This superior predictive power needs to be verified for loading conditions that simulate even more the in vivo case for human vertebrae. More... »

PAGES

563-572

References to SciGraph publications

  • 2006-04. The use of multiple sites for the diagnosis of osteoporosis in OSTEOPOROSIS INTERNATIONAL
  • 2004-02. Excess mortality after hospitalisation for vertebral fracture in OSTEOPOROSIS INTERNATIONAL
  • 2009-04. A three-dimensional elastic plastic damage constitutive law for bone tissue in BIOMECHANICS AND MODELING IN MECHANOBIOLOGY
  • 2006-12. An estimate of the worldwide prevalence and disability associated with osteoporotic fractures in OSTEOPOROSIS INTERNATIONAL
  • 2007-02. Vertebral Osteoporosis and Trabecular Bone Quality in ANNALS OF BIOMEDICAL ENGINEERING
  • 2009-12. Automated simulation of areal bone mineral density assessment in the distal radius from high-resolution peripheral quantitative computed tomography in OSTEOPOROSIS INTERNATIONAL
  • 2001-02. A comparison of spinal quantitative computed tomography with dual energy X-ray absorptiometry in European women with vertebral and nonvertebral fractures in CALCIFIED TISSUE INTERNATIONAL
  • 2006-03. The role of collagen in bone strength in OSTEOPOROSIS INTERNATIONAL
  • 2005-03. Epidemiology of osteoporotic fractures in OSTEOPOROSIS INTERNATIONAL
  • 2006. An Alternative Fabric-based Yield and Failure Criterion for Trabecular Bone in MECHANICS OF BIOLOGICAL TISSUE
  • 2002-02. Biomechanics of Bone: Determinants of Skeletal Fragility and Bone Quality in OSTEOPOROSIS INTERNATIONAL
  • 2009-06. Multi-axial mechanical properties of human trabecular bone in BIOMECHANICS AND MODELING IN MECHANOBIOLOGY
  • 2003-03. Bone strength and its determinants in OSTEOPOROSIS INTERNATIONAL
  • 2008-02. The role of fabric in the quasi-static compressive mechanical properties of human trabecular bone from various anatomical locations in BIOMECHANICS AND MODELING IN MECHANOBIOLOGY
  • 2000-03. An Update on the Diagnosis and Assessment of Osteoporosis with Densitometry in OSTEOPOROSIS INTERNATIONAL
  • 2003-09. Bone quality: where do we go from here? in OSTEOPOROSIS INTERNATIONAL
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/s00198-011-1568-3

    DOI

    http://dx.doi.org/10.1007/s00198-011-1568-3

    DIMENSIONS

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    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/21344244


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