Improved diagnostic performance of plain radiography for cervical ossification of the posterior longitudinal ligament using deep learning.

Journal: PloS one
Published Date: Jan 1, 2022

Abstract

BACKGROUND: A high false-negative rate has been reported for the diagnosis of ossification of the posterior longitudinal ligament (OPLL) using plain radiography. We investigated whether deep learning (DL) can improve the diagnostic performance of radiologists for cervical OPLL using plain radiographs.

Authors

  • Hee-Dong Chae
    Department of Radiology, Seoul National University College of Medicine, Seoul, Korea.
  • Sung Hwan Hong
    Department of Radiology, Seoul National University College of Medicine, Seoul, Korea. drhong@snu.ac.kr.
  • Hyun Jung Yeoh
    Department of Radiology, Seoul National University Hospital, Seoul, Republic of Korea.
  • Yeo Ryang Kang
    Department of Radiology, Seoul National University Hospital, Seoul, Republic of Korea.
  • Su Min Lee
    Department of Radiology, Seoul National University Hospital, Seoul, Republic of Korea.
  • Minyoung Kim
    Department of Radiology, Seoul National University Hospital, Seoul, Republic of Korea.
  • Seok Young Koh
    Department of Radiology, Seoul National University Hospital, Seoul, Republic of Korea.
  • Yongeun Lee
    Deepnoid Inc., Seoul, Republic of Korea.
  • Moo Sung Park
    DEEPNOID, Seoul, Korea.
  • Ja-Young Choi
    Department of Radiology, Seoul National University College of Medicine, Seoul, Korea.
  • Hye Jin Yoo
    Department of Radiology, Seoul National University College of Medicine, Seoul, Korea.

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