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Stereolithographic Bone Scaffold Design Parameters: Osteogenic Differentiation and Signal Expression
Open accessAbstract
Scaffold design parameters including porosity, pore size, interconnectivity, and mechanical properties have a significant influence on osteogenic signal expression and differentiation. This review evaluates the influence of each of these parameters and then discusses the ability of stereolithography (SLA) to be used to tailor scaffold design to optimize these parameters. Scaffold porosity and pore size affect osteogenic cell signaling and ultimately in vivo bone tissue growth. Alternatively, scaffold interconnectivity has a great influence on in vivo bone growth but little work has been done to determine if interconnectivity causes changes in signaling levels. Osteogenic cell signaling could be also influenced by scaffold mechanical properties such as scaffold rigidity and dynamic relationships between the cells and their extracellular matrix. With knowledge of the effects of these parameters on cellular functions, an optimal tissue engineering scaffold can be designed, but a proper technology must exist to produce this design to specification in a repeatable manner. SLA has been shown to be capable of fabricating scaffolds with controlled architecture and micrometer-level resolution. Surgical implantation of these scaffolds is a promising clinical treatment for successful bone regeneration. By applying knowledge of how scaffold parameters influence osteogenic cell signaling to scaffold manufacturing using SLA, tissue engineers may move closer to creating the optimal tissue engineering scaffold.
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Metadata
- Authors
- Kim, K., Yeatts, A., Dean, D., & Fisher, J. P.
- Venue
- Tissue Engineering Part B: Reviews
- Publisher
- SAGE Publications
- Published
- 2010-10
- Volume
- 16
- Issue
- 5
- Pages
- 523-539
- ISSN
- 1937-3368 (ISSN-L)
- 1937-3376
- OpenAlex
- W2097030798
- Cited by
- 245
- References
- 3
- FWCI
- 9.65
- Type
- journal article
- Language
- en
- Open access
- green
- Licence
- www.liebertpub.com/nv/resources-tools/text-and-data-mining-policy/121/ (tdm)
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