Simulation of the nutrient supply in fracture healing

Chen, G., Niemeyer, F., Wehner, T., Simon, U., Schuetz, M.A., Pearcy, M.J., & Claes, L.E. (2009) Simulation of the nutrient supply in fracture healing. Journal of Biomechanics, 42(15), pp. 2575-2583.

View at publisher


The healing process for bone fractures is sensitive to mechanical stability and blood supply at the fracture site. Most currently available mechanobiological algorithms of bone healing are based solely on mechanical stimuli, while the explicit analysis of revascularization and its influences on the healing process have not been thoroughly investigated in the literature. In this paper, revascularization was described by two separate processes: angiogenesis and nutrition supply. The mathematical models for angiogenesis and nutrition supply have been proposed and integrated into an existing fuzzy algorithm of fracture healing. The computational algorithm of fracture healing, consisting of stress analysis, analyses of angiogenesis and nutrient supply, and tissue differentiation, has been tested on and compared with animal experimental results published previously. The simulation results showed that, for a small and medium-sized fracture gap, the nutrient supply is sufficient for bone healing, for a large fracture gap, non-union may be induced either by deficient nutrient supply or inadequate mechanical conditions. The comparisons with experimental results demonstrated that the improved computational algorithm is able to simulate a broad spectrum of fracture healing cases and to predict and explain delayed unions and non-union induced by large gap sizes and different mechanical conditions. The new algorithm will allow the simulation of more realistic clinical fracture healing cases with various fracture gaps and geometries and may be helpful to optimise implants and methods for fracture fixation.

Impact and interest:

20 citations in Scopus
Search Google Scholar™
21 citations in Web of Science®

Citation counts are sourced monthly from Scopus and Web of Science® citation databases.

These databases contain citations from different subsets of available publications and different time periods and thus the citation count from each is usually different. Some works are not in either database and no count is displayed. Scopus includes citations from articles published in 1996 onwards, and Web of Science® generally from 1980 onwards.

Citations counts from the Google Scholar™ indexing service can be viewed at the linked Google Scholar™ search.

ID Code: 27490
Item Type: Journal Article
Refereed: Yes
DOI: 10.1016/j.jbiomech.2009.07.010
ISSN: 0021-9290
Divisions: Current > Institutes > Institute of Health and Biomedical Innovation
Copyright Owner: Copyright 2009 Elsevier
Deposited On: 29 Sep 2009 22:36
Last Modified: 23 Aug 2016 23:31

Export: EndNote | Dublin Core | BibTeX

Repository Staff Only: item control page