Article: Morgan, TG; Bostrom, MPG; and van der Meulen, MCH; (2015) “Tissue-level Remodeling Simulations of Cancellous Bone Capture Effects of in vivo Loading in a Rabbit Model”, Journal of Biomechanics, 48 (5):875-882
Abstract: The adaptation of cancellous bone to mechanical stimuli occurs throughout normal skeletal growth and aging, as well as in response to surgery, disease and device implantation. Previously we developed an in vivo cancellous loading model in the distal lateral femur of the rabbit.
In response to daily in vivo loading for four weeks, bone mass increased, trabeculae thickened and the apparent modulus of the underlying cancellous bone increased. Here, we simulated our prior in vivo rabbit loading experiment using a cell-based tissue remodeling algorithm (Mullender et al., 1994) and compared the results to the in vivo experimental data published previously. Cancellous bone tissue was added or removed from the surface of trabeculae in regions of high and low mechanical stimulus, respectively. To examine the effect of material properties on mechanically regulated adaptation, we implemented both a homogeneous material model and a model where the relative density of tissue was lower for new and surface bone tissue compared to interior tissue. The simulations captured the changes in histomorphometric parameters and mechanical properties measured in the in vivo experiment illustrating the ability of computational simulations to predict the effect of mechanically regulated adaptation on cancellous bone histomorphometry and apparent modulus. (C) 2014 Elsevier Ltd. All rights reserved.
Funding Acknowledgement:
National Science Foundation [BES9753164, BES9875383]; Oxnard Foundation; Pilot and Feasibility Award and Core Center Support from the National Institutes of Health [P30-AR46121]
Funding Text: The authors would like to thank Dr. Harrie Weinans for the use of his microcomputed tomography scanner, when he was at the University of Nijmegen. We also enjoyed the opportunity to interact with Rik during those visits. This project was funded by the National Science Foundation (BES9753164, BES9875383), the Oxnard Foundation, and a Pilot and Feasibility Award and Core Center Support from the National Institutes of Health (P30-AR46121).