Artificial Intelligence System to Determine Risk of T1 Colorectal Cancer Metastasis to Lymph Node.

Journal: Gastroenterology
Published Date: Sep 24, 2020

Abstract

BACKGROUND & AIMS: In accordance with guidelines, most patients with T1 colorectal cancers (CRC) undergo surgical resection with lymph node dissection, despite the low incidence (∼10%) of metastasis to lymph nodes. To reduce unnecessary surgical resections, we used artificial intelligence to build a model to identify T1 colorectal tumors at risk for metastasis to lymph node and validated the model in a separate set of patients.

Authors

  • Shin-Ei Kudo
    Digestive Disease Center, Showa University Northern Yokohama Hospital, Tsuzuki-ku, Yokohama, 224-8503, Japan.
  • Katsuro Ichimasa
    Digestive Disease Center, Showa University, Northern Yokohama Hospital, Yokohama, Japan.
  • Benjamin Villard
    Graduate School of Informatics, Nagoya University, Nagoya, Japan.
  • Yuichi Mori
    Clinical Effectiveness Research Group, Institute of Health and Society, University of Oslo, and Department of Transplantation Medicine Oslo University Hospital, Oslo, Norway; Digestive Disease Center, Showa University Northern Yokohama Hospital, Yokohama, Japan. Electronic address: ibusiginjp@gmail.com.
  • Masashi Misawa
    Digestive Disease Center, Showa University Northern Yokohama Hospital, Tsuzuki-ku, Yokohama, 224-8503, Japan.
  • Shoichi Saito
    Department of Endoscopy, The Cancer Institute Hospital, Japanese Foundation for Cancer Research, Tokyo, Japan.
  • Kinichi Hotta
    Shizuoka Cancer Center, Shizuoka, Japan (K.H.).
  • Yutaka Saito
    National Cancer Center Hospital, Tokyo, Japan (Y.S.).
  • Takahisa Matsuda
    Endoscopy Division, National Cancer Center Hospital, Tokyo, Japan; Cancer Screening Center, National Cancer Center Hospital, Tokyo, Japan.
  • Kazutaka Yamada
    Department of Surgery, Coloproctology Center Takano Hospital, Kumamoto, Japan.
  • Toshifumi Mitani
    Department of Gastroenterology, Toranomon Hospital, Tokyo, Japan.
  • Kazuo Ohtsuka
    Tokyo Medical and Dental University, Tokyo, Japan (K.O.).
  • Akiko Chino
    Department of Endoscopy, The Cancer Institute Hospital, Japanese Foundation for Cancer Research, Tokyo, Japan.
  • Daisuke Ide
    Department of Gastroenterology, The Cancer Institute Hospital, Japanese Foundation for Cancer Research, Tokyo, Japan.
  • Kenichiro Imai
    Division of Endoscopy, Shizuoka Cancer Center, Shizuoka, Japan.
  • Yoshihiro Kishida
    Division of Endoscopy, Shizuoka Cancer Center, Shizuoka, Japan.
  • Keiko Nakamura
    Endoscopy Division, National Cancer Center Hospital, Tokyo, Japan; Cancer Screening Center, National Cancer Center Hospital, Tokyo, Japan.
  • Yasumitsu Saiki
    Department of Surgery, Coloproctology Center Takano Hospital, Kumamoto, Japan.
  • Masafumi Tanaka
    Department of Surgery, Coloproctology Center Takano Hospital, Kumamoto, Japan.
  • Shu Hoteya
    Department of Gastroenterology, Toranomon Hospital, Tokyo, Japan.
  • Satoshi Yamashita
    Department of Cardiology, Internal Medicine III, Hamamatsu University School of Medicine, Hamamatsu, Japan.
  • Yusuke Kinugasa
  • Masayoshi Fukuda
    Department of Endoscopy, Tokyo Medical and Dental University, Tokyo, Japan.
  • Toyoki Kudo
    Digestive Disease Center, Showa University, Northern Yokohama Hospital, Yokohama, Japan.
  • Hideyuki Miyachi
    Digestive Disease Center, Showa University, Northern Yokohama Hospital, Yokohama, Japan.
  • Fumio Ishida
    Digestive Disease Center, Showa University, Northern Yokohama Hospital, Yokohama, Japan.
  • Hayato Itoh
    Graduate School of Informatics, Nagoya University, Furo-cho, Chikusa-ku, Nagoya, 464-8601, Japan.
  • Masahiro Oda
    Graduate School of Informatics, Nagoya University, Furo-cho, Chikusa-ku, Nagoya, 464-8601, Japan.
  • Kensaku Mori
    Graduate School of Informatics, Nagoya University, Furo-cho, Chikusa-ku, Nagoya, 464-8601, Japan.

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