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Effect of glenoid prosthesis design on glenoid bone remodeling: Adaptive finite element based simulation
Authors:Gulshan B Sharma  Richard E Debski  Patrick J McMahon  Douglas D Robertson
Institution:1. Center for Musculoskeletal Research, University of Tennessee, Knoxville, Tennessee;2. Department of Orthopedic Surgery, Kyoto University, Graduate School of Medicine, Kyoto, Japan;3. Department of Orthopedic Surgery, Tamatsukuri-Koseinenkin Hospital, Matsue, Shimane, Japan;1. Department of BioMechanical Engineering, Faculty of Mechanical, Maritime and Materials Engineering, Delft University of Technology, Delft, The Netherlands;2. MOVE Research Institute Amsterdam, Faculty of Human Movement Sciences, VU University, Amsterdam, The Netherlands;3. Department of Radiology, Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands;4. Department of Neurology and Clinical Neurophysiology, Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands;5. Laboratory of Biomechanical Engineering, MIRA Institute for Biomedical Technology and Technical Medicine, University of Twente, Enschede, The Netherlands
Abstract:Glenoid prosthesis loosening is the most common cause for revision total shoulder arthroplasty. Improved glenoid prosthesis design requires looking beyond initial post-implantation static stress analyses. Adaptive bone remodeling simulations based on Wolff’s law are needed for predicting long-term glenoid prosthesis results. This study demonstrates the capability of predicting glenoid bone remodeling produced by changing prosthesis design features. Twelve glenoid prostheses were designed to fit each of six donor human glenoids, using combinations of three peg types and four backing-peg material combinations (polyethylene and or metal). The twelve FE prosthesis models were individually combined, simulating surgical implantation, with the glenoid models. Remodeling simulations, using a validated adaptive bone remodeling simulation, commenced with homogeneous glenoid bone density. To produce bone remodeling, center, posterior-offset, and anterior-offset physiologic loads were consecutively applied to the bone–prosthesis FE models for 300 iterations. Upon completion, region-specific mean predicted bone apparent densities were compared between bone–prosthesis and intact glenoid FE models. Metal fixations significantly increased proximal-center bone density. Polyethylene fixations resulted in bone density approximately equal to intact. Two angled polyethylene peg designs with longer-anterior and shorter-posterior pegs, reflecting natural glenoid shape, best maintained mid and distal glenoid bone density. While these initial results were not validated, they demonstrate the capability and potential of adaptive glenoid bone remodeling simulation. We expect FE glenoid bone remodeling simulations to become powerful and robust tools in the design and evaluation of glenoid prostheses.
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