Prediction of early colorectal cancer metastasis by machine learning using digital slide images.

Journal: Computer methods and programs in biomedicine
Published Date: Sep 1, 2019

Abstract

BACKGROUND AND OBJECTIVES: Prediction of lymph node metastasis (LNM) for early colorectal cancer (CRC) is critical for determining treatment strategies after endoscopic resection. Some histologic parameters for predicting LNM have been established, but evaluator error and inter-observer disagreement are unsolved issues. Here we describe an LNM prediction algorithm for submucosal invasive (T1) CRC based on machine learning.

Authors

  • Manabu Takamatsu
    Division of Pathology, The Cancer Institute; Department of Pathology, The Cancer Institute Hospital, Japanese Foundation for Cancer Research, Tokyo, Japan. Electronic address: manabu.takamatsu@jfcr.or.jp.
  • Noriko Yamamoto
    Division of Pathology, The Cancer Institute; Department of Pathology, The Cancer Institute Hospital, Japanese Foundation for Cancer Research, Tokyo, Japan.
  • Hiroshi Kawachi
    Division of Pathology, The Cancer Institute; Department of Pathology, The Cancer Institute Hospital, Japanese Foundation for Cancer Research, Tokyo, Japan.
  • Akiko Chino
    Department of Endoscopy, The Cancer Institute Hospital, Japanese Foundation for Cancer Research, Tokyo, Japan.
  • Shoichi Saito
    Department of Endoscopy, The Cancer Institute Hospital, Japanese Foundation for Cancer Research, Tokyo, Japan.
  • Masashi Ueno
    Department of Colorectal Surgery, The Cancer Institute Hospital, Japanese Foundation for Cancer Research, Tokyo, Japan.
  • Yuichi Ishikawa
    Division of Pathology, The Cancer Institute; Department of Pathology, The Cancer Institute Hospital, Japanese Foundation for Cancer Research, Tokyo, Japan.
  • Yutaka Takazawa
    Division of Pathology, The Cancer Institute; Department of Pathology, The Cancer Institute Hospital, Japanese Foundation for Cancer Research, Tokyo, Japan.
  • Kengo Takeuchi
    Division of Pathology, The Cancer Institute; Department of Pathology, The Cancer Institute Hospital, Japanese Foundation for Cancer Research, Tokyo, Japan.

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