The final follow-up plain radiograph is sufficient for clinical evaluation of polyethylene wear in total hip arthroplasty

Abstract

Background and purpose Radiostereometric analysis (RSA) is a highly accurate tool for assessment of polyethylene (PE) wear in total hip arthroplasty (THA); however, PE wear measurements in clinical studies are often limited to plain radiographs. We evaluated the agreement between PE wear measured with PolyWare software, which uses plain radiographs, and by model-based RSA, which uses stereo radiographs.

Methods Measurements of PE wear postoperatively and at final follow-up (after mean 6 years) on plain radiographs of 12 patients after cementless THA were evaluated with PolyWare software and the results were compared with those from RSA as the gold standard (Model-based RSA using elementary geometrical shape models; EGS-RSA). With PolyWare, we either used the final radiographic follow-up (PW1) only or both the postoperative follow-up and the final follow-up (PW2).

Results The 2D mean wear measured (in mm) was 0.80, 1.07, and 0.60 for the PW2, PW1, and RSA method. 2D intra-method repeatability was similar for PW1 and RSA with limits of agreement (LOAs, in mm) of ± 0.22, and ± 0.23, respectively. 2D inter-method concurrent validity was best between PW1 and EGS-RSA with LOAs of ± 0.55. For 2D linear wear measurements, the PW1 method had a clinical repeatability similar to that of RSA.

Interpretation PW1 is sufficient for retrospective determination of 2D wear from medium-term wear measurements above 0.5 mm, It alleviates the need for baseline plain radiographs, has a clinical precision similar to that of RSA, and is easy and inexpensive to use.

Designed the study: KS, OR, MS, and SK. Operated on the patients: KS. Gathered the data: MS, OR, and SK. Analyzed the data: MS, NTA, and KL. Wrote the initial draft: MS and KL. Revised the initial draft: KS, SK, OR, NTA, and KL. Ensured the accuracy of the data and analysis: NTA and KL.

The authors thank Rikke Mørup for performing radiostereometric analyses on all patients and Lone Løvgren Andersen for performing wear analyses with PolyWare on all patients.

No competing interests declared.