Improved fracture risk assessment based on nonlinear micro-finite element simulations from HRpQCT images at the distal radius

David Christen, L. Joseph Melton, Alexander Zwahlen, Shreyasee Amin, Sundeep Khosla, Ralph Müller

Research output: Contribution to journalArticle

31 Scopus citations

Abstract

More accurate techniques to estimate fracture risk could help reduce the burden of fractures in postmenopausal women. Although micro-finite element (μFE) simulations allow a direct assessment of bone mechanical performance, in this first clinical study we investigated whether the additional information obtained using geometrically and materially nonlinear μFE simulations allows a better discrimination between fracture cases and controls. We used patient data and high-resolution peripheral quantitative computed tomography (HRpQCT) measurements from our previous clinical study on fracture risk, which compared 100 postmenopausal women with a distal forearm fracture to 105 controls. Analyzing these data with the nonlinear μFE simulations, the odds ratio (OR) for the factor-of-risk (yield load divided by the expected fall load) was marginally higher (1.99; 95% confidence interval [CI], 1.41-2.77) than for the factor-of-risk computed from linear μFE (1.89; 95% CI, 1.37-2.69). The yield load and the energy absorbed up to the yield point as computed from nonlinear μFE were highly correlated with the initial stiffness (R2 = 0.97 and 0.94, respectively) and could therefore be derived from linear simulations with little loss in precision. However, yield deformation was not related to any other measurement performed and was itself a good predictor of fracture risk (OR, 1.89; 95% CI, 1.39-2.63). Moreover, a combined risk score integrating information on relative bone strength (yield load-based factor-of-risk), bone ductility (yield deformation), and the structural integrity of the bone under critical loads (cortical plastic volume) improved the separation of cases and controls by one-third (OR, 2.66; 95% CI, 1.84-4.02). We therefore conclude that nonlinear μFE simulations provide important additional information on the risk of distal forearm fractures not accessible from linear μFE nor from other techniques assessing bone microstructure, density, or mass.

Original languageEnglish (US)
Pages (from-to)2601-2608
Number of pages8
JournalJournal of Bone and Mineral Research
Volume28
Issue number12
DOIs
StatePublished - Dec 1 2013

Keywords

  • Distal forearm fracture
  • bone microstructure
  • high-resolution peripheral quantitative computed tomography
  • nonlinear micro-finite element analysis
  • risk assessment

ASJC Scopus subject areas

  • Endocrinology, Diabetes and Metabolism
  • Orthopedics and Sports Medicine

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