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Statistical Shape Modelling the In Vivo Location of Acetabular Wear in Retrieved Hip Implants

Bergiers, Sean; Henckel, Johann; Hothi, Harry; Di Laura, Anna; Goddard, Chris; Raymont, David; Ullah, Furqan; ... Hart, Alister; + view all (2022) Statistical Shape Modelling the In Vivo Location of Acetabular Wear in Retrieved Hip Implants. Bioengineering , 10 (1) , Article 46. 10.3390/bioengineering10010046. Green open access

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Abstract

Edge-wear in acetabular cups is known to be correlated with greater volumes of material loss; the location of this wear pattern in vivo is less understood. Statistical shape modelling (SSM) may provide further insight into this. This study aimed to identify the most common locations of wear in vivo, by combining CT imaging, retrieval analysis and SMM. Shape variance was described in 20 retrieved metal-on-metal acetabular surfaces. These were revised after a mean of 90 months, from 13 female and seven male patients. They were positioned with a mean inclination and anteversion of 53° and 30°, respectively. Their orientation, in vivo, was established using their stabilising fins, visible in pre-revision CT imaging. The impact of wear volume, positioning, time, gender and size on the in vivo location of wear was investigated. These surfaces had a mean wear volume of 49.63 mm3. The mean acetabular surface displayed superior edge-wear centred 7° within the posterosuperior quadrant, while more of the volumetric wear occurred in the anterosuperior quadrant. Components with higher inclination had greater superior edge-wear scars, while a relationship was observed between greater anteversion angles and more posterosuperior edge-wear. This SSM method can further our understanding of hip implant function, informing future design and may help to refine the safe zone for implant positioning.

Type: Article
Title: Statistical Shape Modelling the In Vivo Location of Acetabular Wear in Retrieved Hip Implants
Open access status: An open access version is available from UCL Discovery
DOI: 10.3390/bioengineering10010046
Publisher version: https://doi.org/10.3390/ bioengineering10010046
Language: English
Additional information: Copyright: © 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/)
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Mechanical Engineering
URI: https://discovery.ucl.ac.uk/id/eprint/10162418
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