A time-dependent mechanobiology-based topology optimization to enhance bone growth in tissue scaffolds

Wu, Chi; Fang, Jianguang; Entezari, Ali; Swain, Michael V.; Xu, Yanan; Steven, Grant P.; Li, Qing

doi:10.1016/j.jbiomech.2021.110233

Cited by 32 publications

(19 citation statements)

References 43 publications

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“…In fact, a study conducted on spine fusion devices suggests that optimized design for the situation immediately after surgery would not yield optimal bone growth (Bashkuev et al 2015). An in silico comparison between bone regeneration outcome for scaffolds optimized for the situation immediately after surgery or taking the healing process into account reached the same conclusion in 2-D (Wu et al 2021).…”

Section: Introductionsupporting

confidence: 54%

“…An in silico comparison between bone regeneration outcome for scaffolds optimized for the situation immediately after surgery or taking the healing process into account reached the same conclusion in 2-D (Wu et al. 2021 ).…”

Section: Introductionmentioning

confidence: 56%

“…Only one study used a mechano-biological algorithm to perform a time-dependent bone scaffold topology optimization in 2-D (large defect) and 3-D (partial defect) (Wu et al. 2021 ). Based on their bone remodelling computer model, they demonstrated that a superior design for bone regeneration was obtained when optimizing for the full regeneration process compared to the situation immediately after surgery, similar to our results.…”

Section: Discussionmentioning

confidence: 99%

“…To our knowledge, there were only two time-dependent, mechano-biology-based bone scaffold optimization studies: Poh and colleagues optimized scaffold porosity distribution based on a simplified bone regeneration model (Poh et al 2019); however, their model allowed only a 1-D optimization. More recently, Wu and colleagues performed a timedependent mechano-biology-based topology optimization of a large defect scaffold in 2-D and a partial defect scaffold in 3-D (Wu et al 2021).…”

Section: Introductionmentioning

confidence: 99%

“…More recently, Wu and colleagues performed a time-dependent mechano-biology-based topology optimization of a large defect scaffold in 2-D and a partial defect scaffold in 3-D (Wu et al. 2021 ).…”

Section: Introductionmentioning

confidence: 99%

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Initial mechanical conditions within an optimized bone scaffold do not ensure bone regeneration – an in silico analysis

Perier-Metz

Duda

Checa

2021

Biomech Model Mechanobiol

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Large bone defects remain a clinical challenge because they do not heal spontaneously. 3-D printed scaffolds are a promising treatment option for such critical defects. Recent scaffold design strategies have made use of computer modelling techniques to optimize scaffold design. In particular, scaffold geometries have been optimized to avoid mechanical failure and recently also to provide a distinct mechanical stimulation to cells within the scaffold pores. This way, mechanical strain levels are optimized to favour the bone tissue formation. However, bone regeneration is a highly dynamic process where the mechanical conditions immediately after surgery might not ensure optimal regeneration throughout healing. Here, we investigated in silico whether scaffolds presenting optimal mechanical conditions for bone regeneration immediately after surgery also present an optimal design for the full regeneration process. A computer framework, combining an automatic parametric scaffold design generation with a mechano-biological bone regeneration model, was developed to predict the level of regenerated bone volume for a large range of scaffold designs and to compare it with the scaffold pore volume fraction under favourable mechanical stimuli immediately after surgery. We found that many scaffold designs could be considered as highly beneficial for bone healing immediately after surgery; however, most of them did not show optimal bone formation in later regenerative phases. This study allowed to gain a more thorough understanding of the effect of scaffold geometry changes on bone regeneration and how to maximize regenerated bone volume in the long term.

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Section: Introductionsupporting

confidence: 54%

Section: Introductionmentioning

confidence: 56%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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