The DOI matches its Crossref record; 214 of the 214 references it cites were found in a registry or an index.
Injectable Biomaterials for Regenerating Complex Craniofacial Tissues
Open accessAbstract
Engineering complex tissues requires a precisely formulated combination of cells, spatiotemporally released bioactive factors, and a specialized scaffold support system. Injectable materials, particularly those delivered in aqueous solution, are considered ideal delivery vehicles for cells and bioactive factors and can also be delivered through minimally invasive methods and fill complex 3D shapes. In this review, we examine injectable materials that form scaffolds or networks capable of both replacing tissue function early after delivery and supporting tissue regeneration over a time period of weeks to months. The use of these materials for tissue engineering within the craniofacial complex is challenging but ideal as many highly specialized and functional tissues reside within a small volume in the craniofacial structures and the need for minimally invasive interventions is desirable due to aesthetic considerations. Current biomaterials and strategies used to treat craniofacial defects are examined, followed by a review of craniofacial tissue engineering, and finally an examination of current technologies used for injectable scaffold development and drug and cell delivery using these materials.
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Metadata
- Authors
- Kretlow, J. D., Young, S., Klouda, L., Wong, M., & Mikos, A. G.
- Venue
- Advanced Materials
- Publisher
- Wiley
- Published
- 2009-08-28
- Volume
- 21
- Issue
- 32-33
- Pages
- 3368-3393
- ISSN
- 0935-9648 (ISSN-L)
- 1521-4095
- OpenAlex
- W2002398258
- Cited by
- 302
- References
- 214
- FWCI
- 12.42
- Type
- journal article
- Language
- en
- Open access
- green
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- Kretlow, J. D., Young, S., Klouda, L., Wong, M., & Mikos, A. G. (2009). Injectable Biomaterials for Regenerating Complex Craniofacial Tissues. Advanced Materials. https://doi.org/10.1002/adma.200802009
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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