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Determination of reference geometry for polyethylene tibial insert wear analysis
Matthew G Teeter1, Douglas D R Naudie, Jaques S Milner
1Robarts Research Institute, The University of Western Ontario, London, Ontario, Canada.
The Journal of Arthroplasty
|March 30, 2010
Summary
This study presents a novel method for creating reference geometries for wear analysis when unworn samples are unavailable. This technique accurately models tibial insert geometry, reducing reference variability for improved wear measurement accuracy.
Area of Science:
- Biomedical Engineering
- Materials Science
- Orthopedic Surgery
Background:
- Geometric wear analysis necessitates unworn geometries as references.
- Retrieval studies often lack access to pristine, never-implanted geometries.
- Accurate reference models are crucial for precise wear quantification in orthopedic implants.
Purpose of the Study:
- To develop and validate a method for creating reference geometrical models from available never-implanted tibial inserts.
- To assess the variability introduced by using averaged geometries as references.
- To compare reference variability with manufacturing variability.
Main Methods:
- Micro-computed tomography (micro-CT) scanning of never-implanted tibial inserts.
- Coalignment and averaging of 2, 3, or 6 insert surfaces to generate reference geometries.
- 3D deviation analysis comparing individual inserts to each other and to the generated reference geometries.
Main Results:
- The developed method successfully created reference geometries with reduced reference variability (8.3 ± 39 μm).
- Manufacturing variability was found to be 15 ± 59 μm.
- Smallest deviations were observed on articular surfaces, significantly less than the typical insert wear rate (20 μm/y).
Conclusions:
- The proposed method provides a reliable approach to establish reference geometries for wear analysis in the absence of unworn originals.
- This technique minimizes reference variability, enhancing the accuracy of wear measurements in retrieved orthopedic implants.
- The findings support the use of this method for robust geometric wear analysis in retrieval studies.
