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BME GUEST SEMINAR
"The 'Art' of Computational Modeling in Knee Biomechanics"
Ahmet Erdemir, PhD, Cleveland Clinic
Jason Halloran, PhD, Cleveland State University
Carl Imhauser, PhD, Hospital for Special Surgery
Peter Laz, PhD, University of Denver
Kevin Shelburne, PhD, University of Denver
Wednesday, December 13, 2017 

 

Surface Contaminants Inhibit Osseointegration in a Novel Murine Model

Client: Edward Greenfeld Ph.D. / Case Western Reserve University

Services Provided: Experiment Design / Uniaxial Material Testing / Data Analysis / Manuscript Preparation

Surface contaminants, such as bacterial debris and manufacturing residues, may remain on orthopaedic implants after sterilization procedures and affect osseointegration. The goals of this study were to develop a murine model of osseointegration in order to determine whether removing surface contaminants enhances osseointegration. To develop the murine model, titanium alloy implants were implanted into a unicortical pilot hole in the mid-diaphysis of the femur and osseointegration was measured over a five week time course. Histology, backscatter scanning electron microscopy and x-ray energy dispersive spectroscopy showed areas of bone in intimate physical contact with the implant, confirming osseointegration. Histomorphometric quantification of bone-to-implant contact and peri-implant bone and biomechanical pullout quantification of ultimate force, stiffness and work to failure increased significantly over time, also demonstrating successful osseointegration. We also found that a rigorous cleaning procedure significantly enhances bone-to-implant contact and biomechanical pullout measures by two-fold compared with implants that were autoclaved, as recommended by the manufacturer. The most likely interpretation of these results is that surface contaminants inhibit osseointegration. The results of this study justify the need for the development of better detection and removal techniques for contaminants on orthopaedic implants and other medical devices.

Publications: http://www.ncbi.nlm.nih.gov/pubmed/21801863