Deep-learning algorithm to detect fibrosing interstitial lung disease on chest radiographs.

Journal: The European respiratory journal
PMID: 36202411

Abstract

BACKGROUND: Antifibrotic therapies are available to treat chronic fibrosing interstitial lung diseases (CF-ILDs), including idiopathic pulmonary fibrosis. Early use of these treatments is recommended to slow deterioration of respiratory function and to prevent acute exacerbation. However, identifying patients in the early stages of CF-ILD using chest radiographs is challenging. In this study, we developed and tested a deep-learning algorithm to detect CF-ILD using chest radiograph images.

Authors

  • Hirotaka Nishikiori
    Department of Respiratory Medicine and Allergology, Sapporo Medical University School of Medicine, Sapporo, Japan.
  • Koji Kuronuma
    Department of Respiratory Medicine and Allergology, Sapporo Medical University School of Medicine, Sapporo, Japan.
  • Kenichi Hirota
    Department of Medical Information Planning, Sapporo Medical University Hospital, Sapporo, Japan.
  • Naoya Yama
    Department of Diagnostic Radiology, Sapporo Medical University School of Medicine, Sapporo, Japan.
  • Tomohiro Suzuki
    Department of Radiology, Iwate Medical University School of Medicine, 19-1 Uchimaru, Morioka 020-8505, Japan. Electronic address: suzukitomohiro123@gmail.com.
  • Maki Onodera
    Department of Diagnostic Radiology, Sapporo Medical University School of Medicine, Sapporo, Japan.
  • Koichi Onodera
    Department of Diagnostic Radiology, Sapporo Medical University, Sapporo, Japan.
  • Kimiyuki Ikeda
    Department of Respiratory Medicine and Allergology, Sapporo Medical University School of Medicine, Sapporo, Japan.
  • Yuki Mori
    Graduate School of Human-Environment Studies, Kyushu University, Fukuoka, Japan.
  • Yuichiro Asai
    Department of Respiratory Medicine and Allergology, Sapporo Medical University School of Medicine, Sapporo, Japan.
  • Yuzo Takagi
    Division of General Thoracic Surgery, Department of Surgery, Faculty of Medicine, Tottori University, 36-1 Nishi-cho, Yonago, Tottori, 683-8504, Japan.
  • Seiwa Honda
    Nonprofit Organization (NPO) Nagoya Orthopedic Regional Healthcare Support Center, AI Research Division, Meitohonmachi 2-22-1, Meito-ward, Nagoya, Japan.
  • Hirofumi Ohnishi
    Department of Public Health, Sapporo Medical University School of Medicine, Sapporo, Japan.
  • Masamitsu Hatakenaka
    Department of Diagnostic Radiology, Sapporo Medical University, Sapporo, Japan.
  • Hiroki Takahashi
    Department of Gastroenterological Surgery, Nagoya City University, 1 Kawasumi, Mizuho-cho, Mizuho-ku, Nagoya, Aichi 467-8601, Japan.
  • Hirofumi Chiba
    Department of Respiratory Medicine and Allergology, Sapporo Medical University School of Medicine, Sapporo, Japan.

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