Influence of fracture gap size on the pattern of long bone healing: a computational study

Gómez‐Benito, María José; García-Aznar, J.M.; Kuiper, Jan Herman; Doblaré, M.

doi:10.1016/j.jtbi.2004.12.023

Cited by 164 publications

(161 citation statements)

References 39 publications

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“…bone remodelling, are here contemplated only in a simplified manner. This makes sense if one considers, first, that much effort has already been devoted to the mathematical modelling of bone remodelling (see Doblaré and García-Aznar (2005); Reina et al (2007) and references therein); second, that it is reported that in many types of bone implants most failures occur within the first year and implant loss is significantly lower in subsequent years (see, for example, Goodacre et al (1999) for the case of single unit dental implant restorations).…”

Section: Introductionmentioning

confidence: 99%

“…Other mathematical models that incorporate these effects present a more irregular distribution of bone (Gómez-Benito et al, 2005;Geris et al, 2004Geris et al, , 2008.…”

mentioning

confidence: 99%

“…The speed and direction of cell migration can also be affected by the mechanical stress of the surrounding tissue, what has been taken in (Moreo et al, 2007a), and by the damage of the tissue (Gómez-Benito et al, 2005;García-Aznar et al, 2007). In our case, however, we consider more important the chemotactic effect of growth factors and therefore neglect these mechanical influences.…”

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confidence: 99%

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Bone ingrowth on the surface of endosseous implants. Part 1: Mathematical model

Moreo

García-Aznar

Doblaré

2009

Journal of Theoretical Biology

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Section: Introductionmentioning

confidence: 99%

“…Other mathematical models that incorporate these effects present a more irregular distribution of bone (Gómez-Benito et al, 2005;Geris et al, 2004Geris et al, , 2008.…”

mentioning

confidence: 99%

mentioning

confidence: 99%

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Bone ingrowth on the surface of endosseous implants. Part 1: Mathematical model

Moreo

García-Aznar

Doblaré

2009

Journal of Theoretical Biology

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“…Different numerical models based on similar hypotheses have been proposed [e.g. 10,12,18]. Prendergast et al [43] proposed a model for mechano-regulated tissue differentiation which assumes that the regenerating tissue is a poroelastic material where the biophysical stimulus regulating differentiation is a function of tissue shear strain and the interstitial fluid flow.…”

Section: Introductionmentioning

confidence: 99%

Tissue differentiation and bone regeneration in an osteotomized mandible: a computational analysis of the latency period

Boccaccio

Prendergast

Pappalettere

et al. 2007

Med Biol Eng Comput

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Mandibular symphyseal distraction osteogenesis is a common clinical procedure to modify the geometrical shape of the mandible for correcting problems of dental overcrowding and arch shrinkage. In spite of consolidated clinical use, questions remain concerning the optimal latency period and the influence of mastication loading on osteogenesis within the callus prior to the first distraction of the mandible. This work utilized a mechano-regulation model to assess bone regeneration within the callus of an osteotomized mandible. A 3D model of the mandible was reconstructed from CT scan data and meshed using poroelastic finite elements. The stimulus regulating tissue differentiation within the callus was hypothesized to be a function of the strain and fluid flow computed by the finite element model. This model was then used to analyse tissue differentiation during a fifteen day latency period, defined as the time between the day of the osteotomy and the day when the first distraction is given to the device. The following predictions are made: (i) the mastication forces generated during the latency period support osteogenesis in certain regions of the callus, and that during the latency period the percentage of progenitor cells differentiating into osteoblasts increases; (ii) reducing the mastication load by 70% during the latency period increases the number of progenitor cells differentiating into osteoblasts; (iii) the stiffness of new tissue increases at a slower rate on the side of bone callus next to the occlusion of the mandibular ramus which could cause asymmetries in the bone tissue formation with respect to the middle sagittal plane. Although the model predicts that the mastication loading generates such asymmetries, their effects on the spatial distribution of callus mechanical properties are insignificant for typical latency periods used clinically. It is also predicted that a latency period of longer than a week will increase the risk of premature bone union across the callus.

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“…Different models have been proposed which relate tissue differentiation to the mechanical environment within the mesenchymal tissue. 8,9,15,35,36 Prendergast et al 36 proposed a mechanoregulation model where the bone callus is assumed to be a poroelastic material and the stimulus regulating tissue differentiation is hypothesized to be a function of tissue shear strain and the interstitial fluid flow. This model was used to successfully predict the patterns of tissue differentiation during fracture healing 25 , at implant/bone interfaces 2,19 and during osteochondral defect repair.…”

Section: Introductionmentioning

confidence: 99%