Evidence map›Paper›PMID 40357874›Full record

ArticleActa orthopaedica et traumatologica turcica2025

A quantitative analysis of symmetry on standard anteroposterior pelvic X-ray.

Abdurrahman Yilmaz, Turab Selcuk, Taha Aksoy, Bülent Atilla

Abstract read
In one paragraph

Article in Acta orthopaedica et traumatologica turcica, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–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

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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

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Abdurrahman YilmazDepartment of Orthopaedics and Traumatology, Hacettepe University Faculty of Medicine, Ankara, Türkiye.
Turab SelcukDepartment of Electrical & Electronics Engineering, Kahramanmara! Sütçü "mam University Faculty of Engineering and Architecture, Kahramanmara!, Türkiye.
Taha AksoyDepartment of Orthopaedics and Traumatology, Hacettepe University Faculty of Medicine, Ankara, Türkiye.
Bülent AtillaDepartment of Orthopaedics and Traumatology, Hacettepe University Faculty of Medicine, Ankara, Türkiye.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: A pelvic X-ray examination might not be accomplished accurately if the images are not acquired properly. In this study, the aim was to develop an automated model using artificial intelligence capable of accurately quantifying the symmetry of the obturator foramen in a pelvic anteroposterior X-ray and determining its suitability for evaluation. Methods: After applying the exclusion criteria, the study included 513 pelvic X-rays. An automated model was developed in the second stage to identify the iliac wings and obturator foramen. After that, calculations were performed to evaluate the obturator foramen's symmetry using the Dice, Jaccard, and Cosine similarity indices. Finally, the symmetry values determined by the physician and the suggested system were compared statistically. Results: The symmetry values found using the suggested model varied from 0.58 to 0.89. There was no statistically significant difference in the symmetry values of the obturator foramen as determined by the automated approach and the observer physician, as indicated by 3 distinct similarity indices (P=.68, P=.6, and P=.96). Conclusion: The artificial intelligence model successfully evaluated the appropriateness of the pelvic X-ray in terms of obturator foramen symmetry. Level of Evidence: Level III, Diagnostic Study.

Indexed as

Artificial IntelligencePelvic BonesPelvisAdultFemaleHumansMaleRadiography

Identifiers

PMID40357874
PMCPMC12076016

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