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Clin Orthop Relat Res. 2013 Jan;471(1):86-93. doi: 10.1007/s11999-012-2513-2.

Can microcomputed tomography measure retrieved polyethylene wear? Comparing fixed-bearing and rotating-platform knees.

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1
Anderson Orthopaedic Research Institute, PO Box 7088, Alexandria, VA 22307, USA.

Abstract

BACKGROUND:

Wear of total knee polyethylene has been quantified gravimetrically with thickness measurements and evaluation of surface wear modes. However, these techniques do not localize volumetric wear.

QUESTIONS/PURPOSES:

We used micro-CT scans of retrieved total knee liners and unworn, new liners to determine the volume and location of wear.

METHODS:

We retrieved 12 fixed and 12 rotating-platform bearings after a mean 52 months of use. Inserts were weighed and thickness was measured. Micro-CT scans of retrieved and matched new liners were superimposed to compare the location and magnitude of wear.

RESULTS:

The average total wear was 254 ± 248 mm(3). The average wear rate was 58 ± 41 mm(3)/year. Wear was 69% of penetration, demonstrating the contribution of deformation to knee wear. Rotating-platform wear rate was 43 ± 25 mm(3)/year and the fixed-bearing rate was 74 ± 49 mm(3)/year. Five percent of the rotating-platform wear rate came from the backside compared with 14% of the fixed-bearing wear rate.

CONCLUSIONS:

Micro-CT can determine the volume and location of wear of retrieved tibial liners. Because the magnitude of the manufacturing tolerances was approximately half the magnitude of the total wear on average, accounting for the potential influence of tolerances is important to accurately measure volumetric wear if the unworn (preimplantation) geometry of the insert is unknown. Without accounting for tolerances, this technique may not be applicable for retrievals with a short followup that have low wear. However, application of micro-CT could be of value in determining the exact location of wear in knee simulator studies in which the same insert is measured repeatedly and manufacturing tolerances are not a concern.

PMID:
22879092
PMCID:
PMC3528931
DOI:
10.1007/s11999-012-2513-2
[Indexed for MEDLINE]
Free PMC Article
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