Deep learning-based automatic measurement of the femoral head ossification center in healthy Korean children: development of a novel radiographic growth chart
QuestionThe timing of FHOC appearance is an important radiographic indicator; however, manual measurement is subjective, and studies on age-specific changes remain limited. FindingsA DL-based algorithm achieved high agreement with expert measurements, and age-based regression reliably predicted FHOC size in children. Clinical relevanceAI-derived FHOC growth charts may provide objective, standardized references for pediatric hip joint development, potentially enabling earlier detection of growth abnormalities and improving diagnostic consistency in clinical practice.
Authors
- Byoung-Dai Lee (ORCID: https://orcid.org/0000-0002-4028-6168)
- Ki-Ryum Moon
- Mu Sook Lee
- Jin Young Kim
Institutions
- Kyonggi University (KR)
- Keimyung University (KR)
Publication Details
- Journal
- European Radiology
- Published
- 2026-01-13
- DOI
- https://doi.org/10.1007/s00330-025-12263-z
- Primary Topic
- Hip disorders and treatments
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Research Foundation
- National Research Foundation of Korea