Monitoring healing progression and characterizing the mechanical environment in preclinical models for bone tissue engineering

Fountain, Stephanie, Windolf, Markus, Henkel, Jan, Tavakoli, Aramesh, Schuetz, Michael A., Hutmacher, Dietmar W., & Epari, Devakara R. (2016) Monitoring healing progression and characterizing the mechanical environment in preclinical models for bone tissue engineering. Tissue Engineering Part B: Reviews, 22(1), pp. 47-57.

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The treatment of large segmental bone defects remains a significant clinical challenge. Due to limitations surrounding the use of bone grafts, tissue-engineered constructs for the repair of large bone defects could offer an alternative. Before translation of any newly developed tissue engineering (TE) approach to the clinic, efficacy of the treatment must be shown in a validated preclinical large animal model. Currently, biomechanical testing, histology, and microcomputed tomography are performed to assess the quality and quantity of the regenerated bone. However, in vivo monitoring of the progression of healing is seldom performed, which could reveal important information regarding time to restoration of mechanical function and acceleration of regeneration. Furthermore, since the mechanical environment is known to influence bone regeneration, and limb loading of the animals can poorly be controlled, characterizing activity and load history could provide the ability to explain variability in the acquired data sets and potentially outliers based on abnormal loading. Many approaches have been devised to monitor the progression of healing and characterize the mechanical environment in fracture healing studies. In this article, we review previous methods and share results of recent work of our group toward developing and implementing a comprehensive biomechanical monitoring system to study bone regeneration in preclinical TE studies.

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ID Code: 92610
Item Type: Journal Article
Refereed: Yes
Keywords: tissue engineering, bone, mechanical environment
DOI: 10.1089/ten.teb.2015.0123
ISSN: 1937-3376
Divisions: Current > Institutes > Institute of Health and Biomedical Innovation
Current > QUT Faculties and Divisions > Science & Engineering Faculty
Copyright Owner: Copyright Mary Ann Liebert, Inc
Deposited On: 03 Feb 2016 00:48
Last Modified: 27 Jun 2017 12:37

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