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Title: Computed tomography-based tissue-engineered scaffolds in craniomaxillofacial surgery
Authors: Smith, M. H.
Flanagan, C. L.
Kemppainen, J. M.
Sack, J. A.
Chung, H.
Das, S.
Hollister, S. J.
Feinberg, S. E.
Issue Date: Sep-2007
Publisher: John Wiley & Sons, Ltd.
Citation: Smith, M. H.; Flanagan, C. L.; Kemppainen, J. M.; Sack, J. A.; Chung, H.; Das, S.; Hollister, S. J.; Feinberg, S. E. (2007). "Computed tomography-based tissue-engineered scaffolds in craniomaxillofacial surgery." The International Journal of Medical Robotics and Computer Assisted Surgery 3(3): 207-216. <http://hdl.handle.net/2027.42/57391>
Abstract: Introduction Tissue engineering provides an alternative modality allowing for decreased morbidity of donor site grafting and decreased rejection of less compatible alloplastic tissues. Methods Using image-based design and computer software, a precisely sized and shaped scaffold for osseous tissue regeneration can be created via selective laser sintering. Polycaprolactone has been used to create a condylar ramus unit (CRU) scaffold for application in temporomandibular joint reconstruction in a Yucatan minipig animal model. Following sacrifice, micro-computed tomography and histology was used to demonstrate the efficacy of this particular scaffold design. Results A proof-of-concept surgery has demonstrated cartilaginous tissue regeneration along the articulating surface with exuberant osseous tissue formation. Bone volumes and tissue mineral density at both the 1 and 3 month time points demonstrated significant new bone growth interior and exterior to the scaffold. Conclusion Computationally designed scaffolds can support masticatory function in a large animal model as well as both osseous and cartilage regeneration. Our group is continuing to evaluate multiple implant designs in both young and mature Yucatan minipig animals. Copyright © 2007 John Wiley & Sons, Ltd.
URI: http://www.ncbi.nlm.nih.gov/sites/entrez?cmd=retrieve&db
=pubmed&list_uids=17631675&dopt=citation
ISSN: 1478-5951
1478-596X
DOI: 10.1002/rcs.143
PMID: 17631675
Appears in Collections:Interdisciplinary and Peer-Reviewed
Biomedical Engineering, Department of

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