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.

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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

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article

Deep learning-based automatic measurement of the femoral head ossification center in healthy Korean children: development of a novel radiographic growth chart

Byoung-Dai Lee, Ki-Ryum Moon, Mu Sook Lee, Jin Young Kim
European Radiology
Hip disorders and treatments
article

Deep learning-based automatic measurement of the femoral head ossification center in healthy Korean children: development of a novel radiographic growth chart

Byoung-Dai Lee, Ki-Ryum Moon, Mu Sook Lee, Jin Young Kim
article en

Abstract

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.

European Radiology
Kyonggi University (KR), Keimyung University (KR)
National Research Foundation, National Research Foundation of Korea
Openalex Percentile: Top 89%
Hip disorders and treatments
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