Application of artificial intelligence using convolutional neural networks in determining the invasion depth of esophageal squamous cell carcinoma.

Journal: Esophagus : official journal of the Japan Esophageal Society
Published Date: Jul 1, 2020

Abstract

OBJECTIVES: In Japan, endoscopic resection (ER) is often used to treat esophageal squamous cell carcinoma (ESCC) when invasion depths are diagnosed as EP-SM1, whereas ESCC cases deeper than SM2 are treated by surgical operation or chemoradiotherapy. Therefore, it is crucial to determine the invasion depth of ESCC via preoperative endoscopic examination. Recently, rapid progress in the utilization of artificial intelligence (AI) with deep learning in medical fields has been achieved. In this study, we demonstrate the diagnostic ability of AI to measure ESCC invasion depth.

Authors

  • Yoshitaka Tokai
  • Toshiyuki Yoshio
    Department of Gastroenterology, Cancer Institute Hospital, Japanese Foundation for Cancer Research, Tokyo, Japan; Tada Tomohiro Institute of Gastroenterology and Proctology, Saitama, Japan.
  • Kazuharu Aoyama
    AI Medical Service Inc Tokyo Japan.
  • Yoshimasa Horie
    Department of Gastroenterology, Cancer Institute Hospital, Japanese Foundation for Cancer Research, Tokyo, Japan; Division of Gastroenterology and Hepatology, Department of Internal Medicine, Toho University Ohashi Medical Center, Tokyo, Japan.
  • Shoichi Yoshimizu
    Department of Gastroenterology, Cancer Institute Hospital, Japanese Foundation for Cancer Research, Tokyo, Japan.
  • Yusuke Horiuchi
    Department of Gastroenterology, Cancer Institute Hospital, Japanese Foundation for Cancer Research, Tokyo, Japan.
  • Akiyoshi Ishiyama
    Department of Gastroenterology, Cancer Institute Hospital, Japanese Foundation for Cancer Research, Tokyo, Japan.
  • Tomohiro Tsuchida
    Department of Gastroenterology, Cancer Institute Hospital, Japanese Foundation for Cancer Research, Tokyo, Japan.
  • Toshiaki Hirasawa
    Department of Gastroenterology, Cancer Institute Hospital Ariake, Japanese Foundation for Cancer Research, 3-10-6 Ariake, Koto-ku, Tokyo, 135-8550, Japan. toshiaki.hirasawa@jfcr.or.jp.
  • Yuko Sakakibara
    Department of Gastroenterology, Osaka National Hospital, Osaka, Japan.
  • Takuya Yamada
    Department of Gastroenterology, Osaka Rosai Hospital, Osaka, Japan.
  • Shinjiro Yamaguchi
    Department of Gastroenterology, Kansai Rosai Hospital, Hyogo, Japan.
  • Junko Fujisaki
    Department of Gastroenterology, Cancer Institute Hospital Ariake, Japanese Foundation for Cancer Research, 3-10-6 Ariake, Koto-ku, Tokyo, 135-8550, Japan.
  • Tomohiro Tada
    AI Medical Service Inc Tokyo Japan.

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