Journal article
Prediction of long-term polyethylene wear in total hip arthroplasty, based on early wear measurements made using digital image analysis
Journal of orthopaedic research, Vol.16(5), pp.557-563
09/1998
DOI: 10.1002/jor.1100160506
PMID: 9820278
Abstract
The capability to reliably predict long-term in vivo wear of polyethylene would be of great value for the early identification of problematic total hip designs. Formal quantitative estimates of long-term polyethylene wear were made from a series of 197 patients who had a total hip arthroplasty and who were followed for a minimum of 10 years; the estimates were based on the wear that was apparent radiographically at nominally 2 years after the operation. A newly developed digital image-analysis edge-detection procedure was applied to 1,237 archived follow-up radiographs. The edge-detection measurements were analyzed with a robust regression random-coefficients statistical formulation developed especially to address the distributions of wear rate observed across this population over time. Formal regression equations were reported, which can be used to estimate late-wear depth for a patient radiographed at a 2-year follow-up visit. Series wide, the correlation between predicted and observed wear depths was 0.73 at 4 years, with a correlation decline of approximately 0.03 per additional year.
Details
- Title: Subtitle
- Prediction of long-term polyethylene wear in total hip arthroplasty, based on early wear measurements made using digital image analysis
- Creators
- Douglas R. Pedersen - University of IowaThomas D. Brown - University of IowaStephen L. Hillis - University of IowaJohn J Callaghan - University of Iowa
- Resource Type
- Journal article
- Publication Details
- Journal of orthopaedic research, Vol.16(5), pp.557-563
- Publisher
- Wiley Subscription Services, Inc., A Wiley Company
- DOI
- 10.1002/jor.1100160506
- PMID
- 9820278
- ISSN
- 0736-0266
- eISSN
- 1554-527X
- Number of pages
- 7
- Language
- English
- Date published
- 09/1998
- Academic Unit
- Roy J. Carver Department of Biomedical Engineering; Radiology; Biostatistics; Orthopedics and Rehabilitation
- Record Identifier
- 9984318803602771
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