A machine learning model for predicting the lymph node metastasis of early gastric cancer not meeting the endoscopic curability criteria.

Journal: Gastric cancer : official journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association
PMID: 38795251

Abstract

BACKGROUND: We developed a machine learning (ML) model to predict the risk of lymph node metastasis (LNM) in patients with early gastric cancer (EGC) who did not meet the existing Japanese endoscopic curability criteria and compared its performance with that of the most common clinical risk scoring system, the eCura system.

Authors

  • Minoru Kato
  • Yoshito Hayashi
    Department of Gastroenterology and Hepatology, Osaka University Graduate School of Medicine, Suita, Japan.
  • Ryotaro Uema
    Department of Gastroenterology and Hepatology, Osaka University Graduate School of Medicine, Suita, Japan.
  • Takashi Kanesaka
    Department of Gastrointestinal Oncology Osaka International Cancer Institute Osaka Japan.
  • Shinjiro Yamaguchi
    Department of Gastroenterology, Kansai Rosai Hospital, Hyogo, Japan.
  • Akira Maekawa
    Department of Gastrointestinal Oncology Osaka International Cancer Institute Osaka Japan.
  • Takuya Yamada
    Department of Gastroenterology, Osaka Rosai Hospital, Osaka, Japan.
  • Masashi Yamamoto
    Division of Gastrointestinal Surgery, Department of Surgery, Graduate School of Medicine, Kobe University, Kobe, Japan. m0125@med.kobe-u.ac.jp.
  • Shinji Kitamura
    Department of Gastroenterology, Sakai City Medical Center, Sakai, Japan.
  • Takuya Inoue
    Department of Gastroenterology, Osaka General Medical Center, Osaka, Japan.
  • Shunsuke Yamamoto
    Department of Medicine, Sahlgrenska University Hospital, Goteborg, Sweden.
  • Takashi Kizu
    Department of Gastroenterology, Yao Municipal Hospital, Yao, Japan.
  • Risato Takeda
    Department of Gastroenterology, Itami City Hospital, Itami, Japan.
  • Hideharu Ogiyama
    Department of Gastroenterology, Itami City Hospital, Hyogo, Japan.
  • Katsumi Yamamoto
    Department of Gastroenterology, Japan Community Healthcare Organization, Osaka Hospital, Osaka, Japan.
  • Kenji Aoi
    Department of Gastroenterology, Kaiduka City Hospital, Osaka, Japan.
  • Koji Nagaike
    Department of Gastroenterology, Suita Municipal Hospital, Osaka, Japan.
  • Yasutaka Sasai
    Department of Gastroenterology, Otemae Hospital, Osaka, Japan.
  • Satoshi Egawa
    Department of Gastroenterology, Osaka Police Hospital, Osaka, Japan.
  • Haruki Akamatsu
    Department of Gastroenterology, Higashiosaka City Medical Center, Higashiosaka, Japan.
  • Hiroyuki Ogawa
    Department of Gastroenterology, Nishinomiya Municipal Central Hospital, Nishinomiya, Japan.
  • Masato Komori
    Department of Gastroenterology, Hyogo Prefectural Nishinomiya Hospital, Nishinomiya, Japan.
  • Nishihara Akihiro
    Department of Gastroenterology, Minoh City Hospital, Minoh, Japan.
  • Takeo Yoshihara
    Department of Gastroenterology and Hepatology, Osaka University Graduate School of Medicine, Suita, Japan.
  • Yoshiki Tsujii
    Department of Gastroenterology and Hepatology, Osaka University Graduate School of Medicine, Suita, Japan.
  • Tetsuo Takehara
    Department of Gastroenterology and Hepatology Osaka University, Graduate School of Medicine Osaka Japan.

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