Olecranon bone age assessment in puberty using a lateral elbow radiograph and a deep-learning model.

Journal: European radiology
PMID: 38676732

Abstract

OBJECTIVES: To improve pubertal bone age (BA) evaluation by developing a precise and practical elbow BA classification using the olecranon, and a deep-learning AI model.

Authors

  • Gayoung Choi
    Department of Radiology, Seoul National University Hospital, Seoul, Korea.
  • Sungwon Ham
    Asan Institute for Life Sciences, Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea. (S.H.).
  • Bo-Kyung Je
    Department of Radiology, Korea University Ansan Hospital, Korea University College of Medicine, Seoul, Korea. radje@korea.ac.kr.
  • Young-Jun Rhie
    Department of Pediatrics, Korea University Ansan Hospital, Korea University College of Medicine, Seoul, Korea.
  • Kyung-Sik Ahn
    Department of Radiology, Korea University Anam Hospital, Seoul, Korea.
  • Euddeum Shim
    Department of Radiology, Korea University Ansan Hospital, Ansan, Korea.
  • Mi-Jung Lee
    Department of Radiology, Severance Hospital, Research Institute of Radiological Science, Center for Clinical Imaging Data Science, Yonsei University College of Medicine, 50-1 Yonsei-Ro, Seodaemun-Gu, Seoul, 03722, Korea.

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