UCL Discovery
UCL home » Library Services » Electronic resources » UCL Discovery

Statistical Shape Modelling of the Large Acetabular Defect in Hip Revision Surgery

De Angelis, Sara; Henckel, Johann; Bergiers, Sean; Hothi, Harry; Di Laura, Anna; Hart, Alister; (2023) Statistical Shape Modelling of the Large Acetabular Defect in Hip Revision Surgery. Journal of Orthopaedic Research 10.1002/jor.25547. Green open access

[thumbnail of Journal Orthopaedic Research - 2023 - De Angelis - Statistical shape modeling of the large acetabular defect in hip.pdf]
Preview
Text
Journal Orthopaedic Research - 2023 - De Angelis - Statistical shape modeling of the large acetabular defect in hip.pdf - Published Version

Download (2MB) | Preview

Abstract

The assessment of three-dimensional (3D) bony defects is important to inform the surgical planning of hip reconstruction. Mirroring of the contralateral side has been previously used to measure the hip centre of rotation (CoR). However, the contralateral side may not be useful when diseased or replaced. Statistical Shape Models (SSMs) can aid reconstruction of patient anatomy. Previous studies have been limited to computational models only or small patient cohorts. We used SSM as a tool to help derive landmarks that are often absent in hip joints of patients with large acetabular defects. Our aim was to compare the reconstructed pelvis with patients who have previously undergone hip revision. This retrospective cohort study involved 38 patients with Paprosky type IIIB defects. An SSM was built on 50 healthy pelvises and used to virtually reconstruct the native pelvic morphology for all cases. The outcome measures were the difference in CoR for 1) SSM vs diseased hip, 2) SSM vs plan and 3) SSM vs contralateral healthy hip. The median differences in CoR were 31.17 mm (IQ: 43.80 - 19.87 mm), 8.53 mm (IQ: 12.76 - 5.74 mm) and 7.84 mm (IQ: 10.13 - 5.13 mm), respectively. No statistical difference (p > 0.05) was found between the SSM vs plan and the SSM vs contralateral CoRs. Our findings show that the SSM model can be used to reconstruct the absent bony landmarks of patients with significant lysis regardless of the defect severity, hence aiding the surgical planning of hip reconstruction and implant design. This article is protected by copyright. All rights reserved.

Type: Article
Title: Statistical Shape Modelling of the Large Acetabular Defect in Hip Revision Surgery
Location: United States
Open access status: An open access version is available from UCL Discovery
DOI: 10.1002/jor.25547
Publisher version: https://doi.org/10.1002/jor.25547
Language: English
Additional information: © 2023 The Authors. Journal of Orthopaedic Research® published by Wiley Periodicals LLC on behalf of Orthopaedic Research Society. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
Keywords: Custom Implants, Hip Reconstruction Surgery, Paprosky 3B Defects, Statistical Shape Modelling
UCL classification: UCL
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Medical Sciences
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Medical Sciences > Div of Surgery and Interventional Sci
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Mechanical Engineering
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Medical Sciences > Div of Surgery and Interventional Sci > Department of Ortho and MSK Science
URI: https://discovery.ucl.ac.uk/id/eprint/10169917
Downloads since deposit
18Downloads
Download activity - last month
Download activity - last 12 months
Downloads by country - last 12 months

Archive Staff Only

View Item View Item