Adaptive glenoid bone remodeling simulation |
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| Authors: | Gulshan B Sharma Richard E Debski Patrick J McMahon Douglas D Robertson |
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| Institution: | 1. University of Pittsburgh, Swanson School of Engineering, Department of Bioengineering, Pittsburgh, Pennsylvania 15213, USA;2. Carnegie Mellon University, Cylab, Pittsburgh, Pennsylvania 15213, USA;3. University of Calgary, Schulich School of Engineering, Department of Civil Engineering, Calgary, Alberta T2N 1N4, Canada;1. Department of Biomechanical Engineering, Faculty of Mechanical, Maritime, and Materials Engineering, Delft University of Technology (TU Delft), Mekelweg 2, Delft 2628 CD, The Netherlands;2. Department of Orthopaedics, Erasmus University Medical Center, Rotterdam, The Netherlands;1. Department of Mechanical Engineering, University of California, Berkeley, CA, USA;2. Department of Chemical Engineering, University of California, Berkeley, CA, USA;3. Department of Bioengineering, University of California, Berkeley, CA, USA;4. Beth Israel Deaconess Medical Center, Boston, MA, USA;1. Department of Health Sciences, Cleveland State University, Cleveland, OH 44115-2214, USA;2. Interdepartmental Doctoral Program in Anthropological Sciences, Stony Brook University, Stony Brook, NY 11794, USA;3. Laboratory of Physical Anthropology, Kyoto University, Kyoto 606-8502, Japan;1. Department of Orthopaedics, Modbury Hospital, Adelaide, SA, Australia;2. University of Adelaide, Adelaide, SA, Australia |
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| Abstract: | Glenoid prosthesis loosening is the most common cause for revision total shoulder arthroplasty. Stress-induced bone remodeling may compromise long-term prosthesis fixation and significantly contribute to loosening. Realistic, robust analysis of bone-prosthesis constructs need to look beyond initial post-implantation mechanics provided by static finite element (FE) simulation. Adaptive bone remodeling simulations based on Wolff's law are needed for evaluating long-term glenoid prostheses fixation. The purpose of this study was to take a first step towards this goal and create and validate two-dimensional FE simulations, using the intact glenoid, for computing subject-specific adaptive glenoid remodeling. Two-dimensional glenoid FE models were created from scapulae computed tomography images. Two distinct processes, “element” and “node” simulations, used the forward-Euler method to compute bone remodeling. Initial bone density was homogeneous. Center and offset load combinations were iteratively applied. To validate the simulations we performed location-specific statistical comparisons between predicted and actual bone density, load combinations, and “element” and “node” processes. Visually and quantitatively “element” simulations produced better results (p>0.22), and correlation coefficients ranged 0.51–0.69 (p<0.001). Having met this initial work's goals, we expect subject-specific FE glenoid bone remodeling simulations together with static FE stress analyses to be effective tools for designing and evaluating glenoid prostheses. |
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