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Communication Dans Un Congrès Année : 2017

Biomechanical challenges to predict bone fracture using X-rays tomography.

Résumé

In the world, a bone fracture due to osteoporosis occurs every 3 seconds (International Osteoporosis Foundation). Thus, it is obvious that bone fracture is a major concern. In clinics the assessment of the risk of fracture is based on the measurement of the bone mineral density (i.e. bone quantity in gram per cm²). Even if this method is currently the gold standard it is not sufficiently discriminant. Indeed, 50% of the patients having a fracture were diagnosed as non-osteoporotic (Siris et al., 2004). To overcome this limitation finite element models have been proposed. Such models can accurately predict the bone strength (e.g. (Duchemin et al., 2008; van Rietbergen and Ito, 2015) but there is no clear evidence that these models can better predict the fracture risk (van Rietbergen and Ito, 2015). Currently these models consider quasi-static loadings. However among elderly bone fractures occur during a fall. In case of a fall from a standing height people will hit the floor at an average speed of 2 m/s (Tan et al., 2006) and a corresponding strain rate of 0.1/s (Földhazy et al., 2005). We made the assumption that this loading speed should be considered in the bone loading. Bone structures (e.g. the femur or the radius) are made of two materials: cortical bone and cancellous bone. It was shown that bone strength of the femur is mainly due to the cortical bone (Holzer et al., 2009). In this context we assume that the behavior of cortical bone should be considered under a loading speed related to a fall. Thus, the goal of our current research is to assess the cortical bone toughness under a strain rate of 0.1/s, representing a fall.

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Dates et versions

hal-01577039 , version 1 (24-08-2017)

Identifiants

  • HAL Id : hal-01577039 , version 1

Citer

David Mitton, Rémy Gauthier, Hélène Follet, Max Langer, Sylvain Meille, et al.. Biomechanical challenges to predict bone fracture using X-rays tomography.. Recherche en Imagerie et Technologies pour la Santé (RITS), Mar 2017, LYON, France. 1 p. ⟨hal-01577039⟩
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