Literature DB >> 20022448

Three-dimensional surface deviation maps for analysis of retrieved polyethylene acetabular liners using micro-computed tomography.

Matthew G Teeter1, Douglas D R Naudie, Kory D Charron, David W Holdsworth.   

Abstract

Micro-computed tomography (micro-CT) has previously been validated for measuring wear volume in polyethylene acetabular liners. The creation of 3-dimensional (3D) articular and backside surface deviation maps using micro-CT is described. An acetabular liner was retrieved after 16.7 years of implantation and scanned with micro-CT along with a new, never-implanted liner of the same size and type. The liner surface geometries were reconstructed and co-aligned. A 3D comparison and cross-sectional analysis was performed. Maximum 3D deviation of the articular surface was -2.48 +/- 0.02 mm, with maximum backside deviation of 0.46 +/- 0.02 mm. Micro-CT can measure surface deviation and therefore calculate the volume of wear plus creep of retrieved acetabular liners, and may be applicable for wear simulator studies and analyzing other polyethylene components including tibial inserts. 2010 Elsevier Inc. All rights reserved.

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Year:  2009        PMID: 20022448     DOI: 10.1016/j.arth.2009.11.001

Source DB:  PubMed          Journal:  J Arthroplasty        ISSN: 0883-5403            Impact factor:   4.757


  9 in total

1.  In vitro quantification of wear in tibial inserts using microcomputed tomography.

Authors:  Matthew G Teeter; Douglas D R Naudie; David D McErlain; Jan-M Brandt; Xunhua Yuan; Steven J Macdonald; David W Holdsworth
Journal:  Clin Orthop Relat Res       Date:  2011-01       Impact factor: 4.176

2.  How do CAD models compare with reverse engineered manufactured components for use in wear analysis?

Authors:  Matthew G Teeter; Douglas D R Naudie; Robert B Bourne; David W Holdsworth
Journal:  Clin Orthop Relat Res       Date:  2012-07       Impact factor: 4.176

3.  Highly crosslinked polyethylene improves wear but not surface damage in retrieved acetabular liners.

Authors:  Hee-Nee Pang; Douglas D R Naudie; Richard W McCalden; Steven J MacDonald; Matthew G Teeter
Journal:  Clin Orthop Relat Res       Date:  2015-02       Impact factor: 4.176

4.  Quantifying wear depth in hip prostheses using a 3D optical scanner.

Authors:  Katherine A Hollar; Daniel S Ferguson; John B Everingham; Jillian L Helms; Kevin J Warburton; Trevor J Lujan
Journal:  Wear       Date:  2017-10-16       Impact factor: 3.892

5.  Inter and intra-system size variability of reverse shoulder arthroplasty polyethylene inserts.

Authors:  Matthew G Teeter; Matthew T Dawson; George S Athwal
Journal:  Int J Shoulder Surg       Date:  2016 Jan-Mar

6.  Micro X-Ray Computed Tomography Mass Loss Assessment of Different UHMWPE: A Hip Joint Simulator Study on Standard vs. Cross-Linked Polyethylene.

Authors:  Saverio Affatato; Filippo Zanini; Simone Carmignato
Journal:  PLoS One       Date:  2017-01-20       Impact factor: 3.240

7.  Wear Distribution Detection of Knee Joint Prostheses by Means of 3D Optical Scanners.

Authors:  Saverio Affatato; Maria Cristina Valigi; Silvia Logozzo
Journal:  Materials (Basel)       Date:  2017-03-30       Impact factor: 3.623

8.  CMM-Based Volumetric Assessment Methodology for Polyethylene Tibial Knee Inserts in Total Knee Replacement.

Authors:  Wei Jiang; Cuicui Ji; Zhongmin Jin; Yuntian Dai
Journal:  Appl Bionics Biomech       Date:  2018-04-10       Impact factor: 1.781

9.  A simple method of measuring the wear of explanted acetabular component inserts.

Authors:  L Krakow; A Klockow; E Roehner; S Brodt; H Eijer; J Bossert; G Matziolis
Journal:  Bone Joint Res       Date:  2017-09       Impact factor: 5.853

  9 in total

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