Literature DB >> 14515768

On the modelling bone tissue fracture and healing of the bone tissue.

Manuel Doblaré1, José Manuel García.   

Abstract

This paper reviews the available literature on computational modelling in two areas of bone biomechanics: fracture and healing. Bone fracture analysis attempts to predict the failure of musculoskeletal structures by several possible mechanisms under different loading conditions. However, as opposed to structurally inert materials, bone is a living tissue that can repair itself. An exciting new field of research is being developed to better comprehended these mechanisms and the mechanical behaviour of bone tissue. One of the main goals of this work is to demonstrate, after a review of computational models, the main similarities and differences between normal engineering materials and bone tissue from a structural point of view. We also underline the importance of computational simulations in biomechanics due to the difficulty of obtaining experimental or clinical results.

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Mesh:

Year:  2003        PMID: 14515768

Source DB:  PubMed          Journal:  Acta Cient Venez        ISSN: 0001-5504


  4 in total

1.  Optimal SVM parameter selection for non-separable and unbalanced datasets.

Authors:  Peng Jiang; Samy Missoum; Zhao Chen
Journal:  Struct Multidiscipl Optim       Date:  2014-10-01       Impact factor: 4.542

2.  Fusion of clinical and stochastic finite element data for hip fracture risk prediction.

Authors:  Peng Jiang; Samy Missoum; Zhao Chen
Journal:  J Biomech       Date:  2015-10-09       Impact factor: 2.712

3.  Customized, degradable, functionally graded scaffold for potential treatment of early stage osteonecrosis of the femoral head.

Authors:  Toshiyuki Kawai; Yaser Shanjani; Saba Fazeli; Anthony W Behn; Yaichiro Okuzu; Stuart B Goodman; Yunzhi P Yang
Journal:  J Orthop Res       Date:  2017-08-21       Impact factor: 3.494

4.  The TrkB agonist, 7,8-dihydroxyflavone, impairs fracture healing in mice.

Authors:  Stuart J McDonald; Brian L Grills; Maddison R Johnstone; Rhys D Brady; Jarrod E Church; David Orr
Journal:  J Musculoskelet Neuronal Interact       Date:  2021-06-01       Impact factor: 2.041

  4 in total

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