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Analysis of polyethylene wear in plain radiographs: The number of radiographs influences the results
Background and purpose Two-dimensional computerized radiographic techniques are frequently used to measure in vivo polyethylene (PE) wear after total hip arthroplasty (THA), and several variables in the clinical set-up may influence the amount of wear that is measured. We compared the repeatability...
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Formato: | Texto |
Lenguaje: | English |
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Informa Healthcare
2009
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2823307/ https://www.ncbi.nlm.nih.gov/pubmed/19995318 http://dx.doi.org/10.3109/17453670903487024 |
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author | Stilling, Maiken Søballe, Kjeld Andersen, Niels Trolle Larsen, Kristian Rahbek, Ole |
author_facet | Stilling, Maiken Søballe, Kjeld Andersen, Niels Trolle Larsen, Kristian Rahbek, Ole |
author_sort | Stilling, Maiken |
collection | PubMed |
description | Background and purpose Two-dimensional computerized radiographic techniques are frequently used to measure in vivo polyethylene (PE) wear after total hip arthroplasty (THA), and several variables in the clinical set-up may influence the amount of wear that is measured. We compared the repeatability and concurrent validity of linear PE wear on plain radiographs using the same software but a different number of radiographs. Methods We used either 1, 2, or 6 anteroposterior (AP) hip radiographs of 11 patients from a clinical THA series with 12 years of follow-up, and measured the PE wear with the software PolyWare 3D Pro. Repeatability within and concurrent validity between the different numbers of radiograph strategies were assessed using limits of agreement (LOAs) and bias. Results Observed median wear (range) in mm was 3.4 (1.6–4.6), 2.3 (0.7–4.9), and 4.0 (2.6–6.2) for the 1-, 2-, and 6-radiograph strategies. For repeatability, no bias (p > 0.41) was observed. LOAs around the bias were ± 0.6, ± 0.4, and ± 1.2 mm for the 1-, 2-, and 6-radiograph strategies. For concurrent validity, a bias (± LOA) between all pairwise comparisons was observed (p < 0.02) with 0.8 mm (± 2.5) between the 1- and 2-radiograph strategies, 1.0 mm (± 2.2) between the 1- and 6-radiograph strategies, and 1.8 mm (± 1.2) between the 2- and 6-radiograph strategies. Interpretation The number of radiographs used for wear measurement with a shadow-casting analysis method on plain AP radiographs influences the amount of linear wear measured. Results of PE wear obtained with PolyWare in studies using a different number of radiographs are not comparable. |
format | Text |
id | pubmed-2823307 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2009 |
publisher | Informa Healthcare |
record_format | MEDLINE/PubMed |
spelling | pubmed-28233072010-02-18 Analysis of polyethylene wear in plain radiographs: The number of radiographs influences the results Stilling, Maiken Søballe, Kjeld Andersen, Niels Trolle Larsen, Kristian Rahbek, Ole Acta Orthop Research Article Background and purpose Two-dimensional computerized radiographic techniques are frequently used to measure in vivo polyethylene (PE) wear after total hip arthroplasty (THA), and several variables in the clinical set-up may influence the amount of wear that is measured. We compared the repeatability and concurrent validity of linear PE wear on plain radiographs using the same software but a different number of radiographs. Methods We used either 1, 2, or 6 anteroposterior (AP) hip radiographs of 11 patients from a clinical THA series with 12 years of follow-up, and measured the PE wear with the software PolyWare 3D Pro. Repeatability within and concurrent validity between the different numbers of radiograph strategies were assessed using limits of agreement (LOAs) and bias. Results Observed median wear (range) in mm was 3.4 (1.6–4.6), 2.3 (0.7–4.9), and 4.0 (2.6–6.2) for the 1-, 2-, and 6-radiograph strategies. For repeatability, no bias (p > 0.41) was observed. LOAs around the bias were ± 0.6, ± 0.4, and ± 1.2 mm for the 1-, 2-, and 6-radiograph strategies. For concurrent validity, a bias (± LOA) between all pairwise comparisons was observed (p < 0.02) with 0.8 mm (± 2.5) between the 1- and 2-radiograph strategies, 1.0 mm (± 2.2) between the 1- and 6-radiograph strategies, and 1.8 mm (± 1.2) between the 2- and 6-radiograph strategies. Interpretation The number of radiographs used for wear measurement with a shadow-casting analysis method on plain AP radiographs influences the amount of linear wear measured. Results of PE wear obtained with PolyWare in studies using a different number of radiographs are not comparable. Informa Healthcare 2009-12-04 2009-12-04 /pmc/articles/PMC2823307/ /pubmed/19995318 http://dx.doi.org/10.3109/17453670903487024 Text en Copyright: © Nordic Orthopedic Federation http://creativecommons.org/licenses/by/2.5/ This is an open-access article distributed under the terms of the Creative Commons Attribution Noncommercial License which permits any noncommercial use, distribution, and reproduction in any medium, provided the source is credited. |
spellingShingle | Research Article Stilling, Maiken Søballe, Kjeld Andersen, Niels Trolle Larsen, Kristian Rahbek, Ole Analysis of polyethylene wear in plain radiographs: The number of radiographs influences the results |
title | Analysis of polyethylene wear in plain radiographs: The number of radiographs influences the results |
title_full | Analysis of polyethylene wear in plain radiographs: The number of radiographs influences the results |
title_fullStr | Analysis of polyethylene wear in plain radiographs: The number of radiographs influences the results |
title_full_unstemmed | Analysis of polyethylene wear in plain radiographs: The number of radiographs influences the results |
title_short | Analysis of polyethylene wear in plain radiographs: The number of radiographs influences the results |
title_sort | analysis of polyethylene wear in plain radiographs: the number of radiographs influences the results |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2823307/ https://www.ncbi.nlm.nih.gov/pubmed/19995318 http://dx.doi.org/10.3109/17453670903487024 |
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