Abdurrahman Yilmaz, Turab Selcuk, Taha Aksoy, Bülent Atilla
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引用次数: 0
摘要
目的:骨盆x线检查如果图像获取不正确,可能无法准确完成。在这项研究中,目的是利用人工智能开发一个自动化模型,能够准确量化骨盆正位x光片中闭孔的对称性,并确定其评估的适用性。方法:应用排除标准,纳入513例盆腔x线片。在第二阶段开发了一个自动模型来识别髂翼和闭孔。之后,使用Dice, Jaccard和Cosine相似指数进行计算以评估闭孔的对称性。最后,将医生确定的对称性值与建议的系统进行统计比较。结果:使用建议模型发现的对称性值在0.58到0.89之间变化。3个不同的相似指数表明,自动入路和观察医师确定的闭孔对称值无统计学差异(P=。68, P =。6, P=.96)。结论:人工智能模型成功地评估了骨盆x线片在闭孔对称方面的适当性。证据等级:III级,诊断性研究。
A quantitative analysis of symmetry on standard anteroposterior pelvic X-ray.
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.