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Machine Learning–Derived Acetabular Dysplasia and Cam Morphology Are Features of Severe Hip Osteoarthritis: Findings From UK Biobank

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 D...

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Autores principales: Frysz, Monika, Faber, Benjamin G, Ebsim, Raja, Saunders, Fiona R, Lindner, Claudia, Gregory, Jennifer S, Aspden, Richard M, Harvey, Nicholas C, Cootes, Tim, Tobias, Jon H
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley & Sons, Inc. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9545366/
https://www.ncbi.nlm.nih.gov/pubmed/35811326
http://dx.doi.org/10.1002/jbmr.4649
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author Frysz, Monika
Faber, Benjamin G
Ebsim, Raja
Saunders, Fiona R
Lindner, Claudia
Gregory, Jennifer S
Aspden, Richard M
Harvey, Nicholas C
Cootes, Tim
Tobias, Jon H
author_facet Frysz, Monika
Faber, Benjamin G
Ebsim, Raja
Saunders, Fiona R
Lindner, Claudia
Gregory, Jennifer S
Aspden, Richard M
Harvey, Nicholas C
Cootes, Tim
Tobias, Jon H
author_sort Frysz, Monika
collection PubMed
description 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).
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spelling pubmed-95453662022-10-14 Machine Learning–Derived Acetabular Dysplasia and Cam Morphology Are Features of Severe Hip Osteoarthritis: Findings From UK Biobank Frysz, Monika Faber, Benjamin G Ebsim, Raja Saunders, Fiona R Lindner, Claudia Gregory, Jennifer S Aspden, Richard M Harvey, Nicholas C Cootes, Tim Tobias, Jon H J Bone Miner Res Research Articles 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). John Wiley & Sons, Inc. 2022-08-07 2022-09 /pmc/articles/PMC9545366/ /pubmed/35811326 http://dx.doi.org/10.1002/jbmr.4649 Text en © 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). https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Articles
Frysz, Monika
Faber, Benjamin G
Ebsim, Raja
Saunders, Fiona R
Lindner, Claudia
Gregory, Jennifer S
Aspden, Richard M
Harvey, Nicholas C
Cootes, Tim
Tobias, Jon H
Machine Learning–Derived Acetabular Dysplasia and Cam Morphology Are Features of Severe Hip Osteoarthritis: Findings From UK Biobank
title Machine Learning–Derived Acetabular Dysplasia and Cam Morphology Are Features of Severe Hip Osteoarthritis: Findings From UK Biobank
title_full Machine Learning–Derived Acetabular Dysplasia and Cam Morphology Are Features of Severe Hip Osteoarthritis: Findings From UK Biobank
title_fullStr Machine Learning–Derived Acetabular Dysplasia and Cam Morphology Are Features of Severe Hip Osteoarthritis: Findings From UK Biobank
title_full_unstemmed Machine Learning–Derived Acetabular Dysplasia and Cam Morphology Are Features of Severe Hip Osteoarthritis: Findings From UK Biobank
title_short Machine Learning–Derived Acetabular Dysplasia and Cam Morphology Are Features of Severe Hip Osteoarthritis: Findings From UK Biobank
title_sort machine learning–derived acetabular dysplasia and cam morphology are features of severe hip osteoarthritis: findings from uk biobank
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9545366/
https://www.ncbi.nlm.nih.gov/pubmed/35811326
http://dx.doi.org/10.1002/jbmr.4649
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