Model-based Roentgen Stereophotogrammetric Analysis (RSA) of polyethylene implants.
Imaging
Model-based RSA
Radiopaque UHMWPE
Unicompartmental knee bearing
Journal
Medical engineering & physics
ISSN: 1873-4030
Titre abrégé: Med Eng Phys
Pays: England
ID NLM: 9422753
Informations de publication
Date de publication:
Aug 2024
Aug 2024
Historique:
received:
28
04
2023
revised:
11
06
2024
accepted:
27
06
2024
medline:
20
8
2024
pubmed:
20
8
2024
entrez:
19
8
2024
Statut:
ppublish
Résumé
Model-based Roentgen Stereophotogrammetric Analysis (RSA) is able to measure the migration of metallic prostheses with submillimeter accuracy through contour-detection and 3D surface model matching techniques. However, contour-detection is only possible if the prosthesis is clearly visible in the radiograph; consequently Model-based RSA cannot be directly used for polymeric materials due to their limited X-ray attenuation; this is especially clinically relevant for all-polyethylene implants. In this study the radiopacity of unicompartmental Ultra-High Molecular Weight Polyethylene (UHMWPE) knee bearings was increased by diffusing an oil-based contrast agent into the surface to create three different levels of surface radiopacity. Model-based RSA was performed on the bearings alone, the bearings alongside a metallic component held in position using a phantom, the bearings cemented into a Sawbone tibia, and the bearings at different distances from the femoral component. For each condition the precision and accuracy of zero motion of Model-based RSA were assessed. The radiopaque bearings could be located in the stereo-radiographs using Model-based RSA an accuracy comparable to metallic parts for translational movements (0.03 mm to 0.50 mm). For rotational movements, the accuracy was lower (0.1
Identifiants
pubmed: 39160015
pii: S1350-4533(24)00102-4
doi: 10.1016/j.medengphy.2024.104201
pii:
doi:
Substances chimiques
Polyethylene
9002-88-4
Polyethylenes
0
ultra-high molecular weight polyethylene
0
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
104201Informations de copyright
Copyright © 2024 The Author(s). Published by Elsevier Ltd.. All rights reserved.
Déclaration de conflit d'intérêts
Declaration of Competing Interest Funding: The University of Bath funded Dr Zaribaf's PhD project through the University Research Studentship Award funding scheme. Santander funded Dr Zaribaf's placement at Leiden through the Postgraduate Mobility Award Scheme. Zimmer-Biomet provided the Oxford Partial knee components used for the analysis. Ethical approval: Not required. Competing interests: None.