ArticleOsteoarthritis imaging2024
Automated radiographic hip morphology measurements: An open-access method.
Article in Osteoarthritis imaging, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 10 papers, 2 of them syntheses that pooled it.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
10 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Cam morphology and the risk of developing radiographic hip osteoarthritis within 8 years: an individual participant data meta-analysis of 23 886 hips from the world COACH consortium.British journal of sports medicine · 2026Pooled it
- Acetabular dysplasia and the risk of developing hip osteoarthritis within 4-8 years: An individual participant data meta-analysis of 18,807 hips from the World COACH consortium.Osteoarthritis and cartilage · 2025Pooled it
- Tibial genu varum and primary cam morphology in healthy young adults: A cross-sectional study uncovering the double threat to joint health.Osteoarthritis and cartilage open · 2026Article
- Hip Morphology-Based Osteoarthritis Risk Prediction Models: Development and External Validation Using Individual Participant Data From the World COACH Consortium.Arthritis care & research · 2026Article
- Severe pincer morphology is associated with incident hip osteoarthritis: prospective individual participant data from 18 935 hips from the World COACH consortium.British journal of sports medicine · 2026Article
- Associated Factors of Primary Cam Morphology in 4477 Early Adolescents: A Multiethnic, Population-Based, Cross-sectional Study (Generation R).Orthopaedic journal of sports medicine · 2025Article
- Prevalence of Pincer Morphology in Early Adolescents From the General Population: A Population-Based Study.Arthritis care & research · 2025Article
- Evaluation of AI Performance in Spinal Radiographic Measurements Compared to Radiologists: A Study of Accuracy and Efficiency.Journal of imaging · 2025Article
- The 18th international workshop on osteoarthritis imaging. Structure and pain: Where are we today?Osteoarthritis imaging · 2025Review
- Reliability and agreement of manual and automated morphological radiographic hip measurements.Osteoarthritis and cartilage open · 2024Article
Corrections and comments
- Erratum issued
Authors and funding
7 authors.
Funding
Abstract
Objective: The aim of this study is to present a newly developed automated method to determine radiographic measurements of hip morphology on dual-energy x-ray absorptiometry (DXA) images. The secondary aim was to compare the performance of the automated and manual measurements. Design: 30 DXA scans from 13-year-olds of the prospective population-based cohort study Generation R were randomly selected. The hip shape was outlined automatically using radiographic landmarks from which the acetabular depth-width ratio (ADR), acetabular index (AI), alpha angle (AA), Wiberg and lateral center edge angle (WCEA) (LCEA), extrusion index (EI), neck-shaft angle (NSA), and the triangular index (TI) were determined. Manual assessments were performed twice by two orthopedic surgeons. The agreement within and between observers and methods was visualized using Bland-Altman plots, and the reliability was studied using the intraclass correlation coefficient (ICC) with 95 % confidence intervals (CI). Results: The automated method was able to perform all radiographic hip morphology measurements. The intermethod reliability between the automated and manual measurements ranged from 0.57 to 0.96 and was comparable to or better than the manual interobserver reliability, except for the AI. Conclusion: This open-access, automated method allows fast and reproducible calculation of radiographic measurements of hip morphology on right hip DXA images. It is a promising tool for performing automated radiographic measurements of hip morphology in large population studies and clinical practice.
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