The effect of deep convolutional neural networks on radiologists' performance in the detection of hip fractures on digital pelvic radiographs.

Journal: European journal of radiology
PMID: 32721827

Abstract

PURPOSE: The purpose of our study is to develop deep convolutional neural network (DCNN) for detecting hip fractures using CT and MRI as a gold standard, and to evaluate the diagnostic performance of 7 readers with and without DCNN.

Authors

  • Tsubasa Mawatari
    Department of Radiological Sciences, Graduate school of Health Sciences, Teikyo University, 6-22 Misakimachi, Omuta, Fukuoka, 836-8505, Japan.
  • Yoshiko Hayashida
    Department of Radiology, University of Occupational and Environmental Health, 1-1, Iseigaoka, Yahatanishiku, Kitakyushu, Fukuoka, 807-8555, Japan. Electronic address: yhlinda@med.uoeh-u.ac.jp.
  • Shigehiko Katsuragawa
    Department of Radiological Sciences, Graduate school of Health Sciences, Teikyo University, 6-22 Misakimachi, Omuta, Fukuoka, 836-8505, Japan.
  • Yuta Yoshimatsu
    Department of Radiology, University of Occupational and Environmental Health, 1-1, Iseigaoka, Yahatanishiku, Kitakyushu, Fukuoka, 807-8555, Japan.
  • Toshihiko Hamamura
    Department of Radiology, University of Occupational and Environmental Health, 1-1, Iseigaoka, Yahatanishiku, Kitakyushu, Fukuoka, 807-8555, Japan.
  • Kenta Anai
    Department of Radiology, University of Occupational and Environmental Health, 1-1, Iseigaoka, Yahatanishiku, Kitakyushu, Fukuoka, 807-8555, Japan.
  • Midori Ueno
    Department of Radiology, University of Occupational and Environmental Health, 1-1, Iseigaoka, Yahatanishiku, Kitakyushu, Fukuoka, 807-8555, Japan.
  • Satoru Yamaga
    Department of Medicine and Biosystemic Sciences, Graduate School of Medical Sciences, Kyushu University, Japan.
  • Issei Ueda
    Department of Radiology, University of Occupational and Environmental Health, 1-1, Iseigaoka, Yahatanishiku, Kitakyushu, Fukuoka, 807-8555, Japan.
  • Takashi Terasawa
    Department of Radiology, University of Occupational and Environmental Health, 1-1, Iseigaoka, Yahatanishiku, Kitakyushu, Fukuoka, 807-8555, Japan.
  • Akitaka Fujisaki
    Department of Radiology, University of Occupational and Environmental Health, 1-1, Iseigaoka, Yahatanishiku, Kitakyushu, Fukuoka, 807-8555, Japan.
  • Chihiro Chihara
    Department of Radiology, University of Occupational and Environmental Health, 1-1, Iseigaoka, Yahatanishiku, Kitakyushu, Fukuoka, 807-8555, Japan.
  • Tomoyuki Miyagi
    Department of Medicine and Biosystemic Sciences, Graduate School of Medical Sciences, Kyushu University, Japan.
  • Takatoshi Aoki
    Department of Radiology, University of Occupational and Environmental Health School of Medicine, Iseigaoka 1-1, Yahatanishi-ku, Kitakyushu-shi, Fukuoka 807-8555, Japan.
  • Yukunori Korogi
    Department of Radiology, University of Occupational and Environmental Health, 1-1, Iseigaoka, Yahatanishiku, Kitakyushu, Fukuoka, 807-8555, Japan.

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