Developmental Dysplasia of the Hip: An Audit of the Ultrasound Screening Programme.

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Abstract

[Indexed for MEDLINE] Conflict of interest statement: The authors have no conflicts of interest to declare. 19. Eur J Radiol. 2025 Sep;190:112231. doi: 10.1016/j.ejrad.2025.112231. Epub 2025 Jun 7. The role of imaging parameters in the diagnosis of developmental dysplasia of the hip based on artificial intelligence: A perspective. Zou Y(1), Pan S(1), Wang Q(1), Zhang Y(1), Gao Y(2), Fu Z(3). Author information: (1)Department of Radiology, Shengjing Hospital of China Medical University, 36 Sanhao Street, Heping District, Shenyang 110004, China. (2)Department of Radiology, Shengjing Hospital of China Medical University, 36 Sanhao Street, Heping District, Shenyang 110004, China. Electronic address: 15040053790@163.com. (3)Department of Radiology, Shengjing Hospital of China Medical University, 36 Sanhao Street, Heping District, Shenyang 110004, China. Electronic address: 1172977859@qq.com. Developmental dysplasia of the Hip (DDH) is a common pediatric orthopedic disease, characterized primarily by abnormal development of the hip joint structure. The clinical objective is the early detection, diagnosis, and treatment. Current diagnostic strategies rely on a combination of physical examination and imaging assessment, with particular emphasis on the comprehensive assessment of multiple imaging parameters. In recent years, the integration of Artificial Intelligence (AI) with medical imaging has enhanced the accuracy and objectivity of DDH diagnosis and management. Nevertheless, current research still faces model limitations and variability in imaging acquisition protocols. This article provides a comprehensive overview of the anatomical foundations of DDH-related imaging parameters, their clinical significance, and the latest advancements in AI application. It initially details the measurement of hip joint imaging parameters, then discusses their quantitative contributions to clinical decision-making through predictive modeling, and finally explores the innovative use of AI in imaging interpretation while addressing existing technical constraints, with the aim of advancing precision medicine in the context of DDH. Copyright © 2025 Elsevier B.V. All rights reserved. DOI: 10.1016/j.ejrad.2025.112231