2009
DOI: 10.1007/s10856-009-3973-0
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Tissue differentiation in an in vivo bioreactor: in silico investigations of scaffold stiffness

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Cited by 24 publications
(15 citation statements)
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“…1), were developed to investigate the mechanical conditions within the callus. In addition, a latticebased mechano-biological model that explicitly includes migration, proliferation and differentiation of the cells (Byrne et al, 2007;Prendergast, 2009a, 2009b;Prendergast et al, 2010;Sandino et al, 2010;Khayyeri et al, 2009Khayyeri et al, , 2010 was implemented to simulate the bone healing process. Model predictions were compared with histological sections at several time points post-surgery.…”
Section: Discussionmentioning
confidence: 99%
“…1), were developed to investigate the mechanical conditions within the callus. In addition, a latticebased mechano-biological model that explicitly includes migration, proliferation and differentiation of the cells (Byrne et al, 2007;Prendergast, 2009a, 2009b;Prendergast et al, 2010;Sandino et al, 2010;Khayyeri et al, 2009Khayyeri et al, , 2010 was implemented to simulate the bone healing process. Model predictions were compared with histological sections at several time points post-surgery.…”
Section: Discussionmentioning
confidence: 99%
“…Modelling of bioreactors allows also, to determine the optimal parameters governing the scaffold performances. Khayyeri et al 144 combined a lattice-based model of a 3D porous scaffold construct derived from micro CT and a mechanobiological simulation of a bone chamber experiment to investigate the effect of scaffold stiffness on tissue differentiation inside the chamber. The results indicate that higher scaffold stiffness, holding pore structure constant, enhances bone formation.…”
Section: Mechanobiologymentioning
confidence: 99%
“…The simulation results suggested that the seeding process and mechanical stimulation were key parameters when engineering large bone tissue volumes. Table summarizes some of other recent studies on computational scaffold design …”
Section: Computational Scaffold Designmentioning
confidence: 99%