The Journal of Bone and Joint Surgery (American). 2005;87:2323-2334.
doi:10.2106/JBJS.E.00223
© 2005 The Journal of Bone and Joint Surgery, Inc.
Radiographic Methods for the Assessment of Polyethylene Wear After Total Hip Arthroplasty
Richard W. McCalden, MD, FRCSC1,
Douglas D. Naudie, MD, FRCSC1,
Xunhua Yuan, PhD2 and
Robert B. Bourne, MD, FRCSC1
1 Division of Orthopaedic Surgery, London Health Sciences Centre, University
Campus, 339 Windermere Road, London, Ontario, Canada N6A 5A5. E-mail address
for R.W. McCalden:
richard.mccalden{at}lhsc.on.ca.
E-mail address for D.D. Naudie:
dnaudie{at}mac.com.
E-mail address for R.B. Bourne:
robert.bourne{at}lhsc.on.ca
2 Medical Imaging Laboratory, Robarts Research Institute, 100 Perth Drive,
London, Ontario, Canada N6A 5K8. E-mail address:
xyuan{at}imaging.robarts.ca
Investigation performed at the Division of Orthopaedic Surgery, London
Health Sciences Centre, London, Ontario, Canada
The authors did not receive grants or outside funding in support of their
research or preparation of this manuscript. They did not receive payments or
other benefits or a commitment or agreement to provide such benefits from a
commercial entity. No commercial entity paid or directed, or agreed to pay or
direct, any benefits to any research fund, foundation, educational
institution, or other charitable or nonprofit organization with which the
authors are affiliated or associated.
All wear-measurement techniques assess femoral head penetration and
therefore cannot distinguish between true polyethylene wear and bedding-in.
Multiple wear measurements that are made at different time-intervals after
bedding-in has occurred are required to determine the true wear rate.
Computer-assisted edge-detection techniques offer improved accuracy and
precision compared with manual techniques and appear to be ideally suited for
the retrospective and prospective examination of large groups of patients with
intermediate to long-term radiographic follow-up (more than five years).
While radiostereometric analysis offers improved accuracy and precision
compared with computer-assisted edge-detection techniques, widescale clinical
application is limited because of its relative expense, the required
expertise, and the fact that it can only be used in a prospective fashion.

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