Evidence map›Paper›PMID 39239618›Full record

ArticleOsteoarthritis imaging2024

Automated radiographic hip morphology measurements: An open-access method.

F Boel, S de Vos-Jakobs, N S Riedstra, C Lindner, J Runhaar, S M A Bierma-Zeinstra, R Agricola

Erratum issuedAbstract read
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

The trial behind it

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

F BoelErasmus MC, Department of Orthopaedics and Sports Medicine, University Medical Center Rotterdam, Dr. Molewaterplein 40, 3015GD Rotterdam, the Netherlands.
S de Vos-JakobsErasmus MC - Sophia Children's Hospital, University Medical Center Rotterdam, Department of Orthopaedics and Sports Medicine, Dr. Molewaterplein 40, 3015GD Rotterdam, the Netherlands.
N S RiedstraErasmus MC, Department of Orthopaedics and Sports Medicine, University Medical Center Rotterdam, Dr. Molewaterplein 40, 3015GD Rotterdam, the Netherlands.
C LindnerDivision of Informatics, Imaging & Data Sciences, The University of Manchester, Oxford Rd, Manchester M13 9PL, UK.
J RunhaarErasmus MC, Department of General Practice, University Medical Center Rotterdam, Dr. Molewaterplein 40, 3015GD Rotterdam, the Netherlands.
S M A Bierma-ZeinstraErasmus MC, Department of Orthopaedics and Sports Medicine, University Medical Center Rotterdam, Dr. Molewaterplein 40, 3015GD Rotterdam, the Netherlands.
R AgricolaErasmus MC, Department of Orthopaedics and Sports Medicine, University Medical Center Rotterdam, Dr. Molewaterplein 40, 3015GD Rotterdam, the Netherlands.

Funding

Wellcome Trust 223267
6 · The paper itself

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.

Indexed as

DXAHipMorphologyRadiographyRadiology

Identifiers

PMID39239618
PMCPMC7616415

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.