| Title: | Machine Learning-Derived Acetabular Dysplasia and Cam Morphology Are Features of Severe Hip Osteoarthritis: Findings From UK Biobank |
| Journal: | Journal of Bone and Mineral Research |
| Published: | 1 Dec 2020 |
| Pubmed: | https://pubmed.ncbi.nlm.nih.gov/35811326/ |
| DOI: | https://doi.org/10.1002/jbmr.4649 |
| URL: | https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/jbmr.4649 |
| Citations: | 15 (14 in last 2 years) as of 8 Aug 2024 |
Publication 12893
WARNING: the interactive features of this website use CSS3, which your browser does not support. To use the full features of this website, please update your browser.
Abstract
The contribution of shape changes to hip osteoarthritis (HOA) remains unclear, as is the extent to which these vary according to HOA severity. In the present study, we used statistical shape modeling (SSM) to evaluate relationships between hip shape and HOA of different severities using UK Biobank DXA images. We performed a cross-sectional study in individuals with left hip dual-energy X-ray absorptiometry (DXA) scans. Statistical shape modeling (SSM) was used to quantify hip shape. Radiographic HOA (rHOA) was classified using osteophyte size and number and joint space narrowing. HOA outcomes ranged in severity from moderate (grade 2) to severe (grade ≥3) rHOA, hospital-diagnosed HOA, and subsequent total hip replacement (THR). Confounder-adjusted logistic regression between the top 10 hip shape modes (HSMs) and OA outcomes was performed. Further models adjusted for alpha angle (AA) and lateral center-edge angle (LCEA), reflecting acetabular dysplasia and cam morphology, respectively. Composite HSM figures were produced combining HSMs associated with separate OA outcomes. A total of 40,311 individuals were included (mean 63.7 years, 47.8% male), of whom 5.7% had grade 2 rHOA, 1.7% grade ≥3 rHOA, 1.3% hospital-diagnosed HOA, and 0.6% underwent THR. Composite HSM figures for grade 2 rHOA revealed femoral neck widening, increased acetabular coverage, and enlarged lesser and greater trochanters. In contrast, grade ≥3 rHOA, hospital-diagnosed HOA, and THR were suggestive of cam morphology and reduced acetabular coverage. Associations between HSMs depicting cam morphology and reduced acetabular coverage and more severe HOA were attenuated by AA and LCEA adjustment, respectively. Relationships between hip shape and HOA differed according to severity. Notably, cam morphology and acetabular dysplasia were features of severe HOA, but unrelated to moderate disease, suggesting possible prognostic utility. © 2022 The Authors. Journal of Bone and Mineral Research published by Wiley Periodicals LLC on behalf of American Society for Bone and Mineral Research (ASBMR).</p>
9 Keywords
- Biological Specimen Banks
- Cross-Sectional Studies
- Female
- Hip Joint
- Humans
- Machine Learning
- Male
- Osteoarthritis, Hip
- United Kingdom
10 Authors
- Monika Frysz
- Benjamin G Faber
- Raja Ebsim
- Fiona R Saunders
- Claudia Lindner
- Jennifer S Gregory
- Richard M Aspden
- Nicholas C Harvey
- Tim Cootes
- Jon H Tobias
1 Application
| Application ID | Title |
|---|---|
| 17295 | AUtomated Generation of Musculoskeletal phENotypes from the UK biobank exTended imaging study (AUGMENT Study) |
Enabling scientific discoveries that improve human health