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标准骨盆前后位X线片对称性的定量分析。

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

作者信息

Yilmaz Abdurrahman, Selcuk Turab, Aksoy Taha, Atilla Bülent

机构信息

Department of Orthopaedics and Traumatology, Hacettepe University Faculty of Medicine, Ankara, Türkiye.

Department of Electrical & Electronics Engineering, Kahramanmara! Sütçü "mam University Faculty of Engineering and Architecture, Kahramanmara!, Türkiye.

出版信息

Acta Orthop Traumatol Turc. 2025 Apr 29;59(2):122-128. doi: 10.5152/j.aott.2025.24033.

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.

摘要

目的

如果图像采集不当,骨盆X线检查可能无法准确完成。在本研究中,目的是开发一种使用人工智能的自动化模型,该模型能够准确量化骨盆前后位X线片中闭孔的对称性并确定其评估适用性。方法:应用排除标准后,该研究纳入了513张骨盆X线片。在第二阶段开发了一个自动化模型来识别髂骨翼和闭孔。之后,使用Dice、Jaccard和余弦相似性指数进行计算以评估闭孔的对称性。最后,对医生确定的对称性值和建议系统进行统计学比较。结果:使用建议模型发现的对称性值在0.58至0.89之间。三种不同的相似性指数表明,自动化方法和观察医生确定的闭孔对称性值在统计学上没有显著差异(P = 0.68,P = 0.6,P = 0.96)。结论:人工智能模型成功地根据闭孔对称性评估了骨盆X线的适用性。证据水平:III级,诊断性研究。

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