Prediction of Recurrence in Patients with Stage III Colon Cancer Using Conventional Clinicopathological Factors and Peripheral Blood Test Data: A New Analysis with Artificial Intelligence.

Journal: Oncology
PMID: 33626534

Abstract

BACKGROUND: Survival rate may be predicted by tumor-node-metastasis staging systems in colon cancer. In clinical practice, about 20 to 30 clinicopathological factors and blood test data have been used. Various predictive factors for recurrence have been advocated; however, the interactions are complex and remain to be established. We used artificial intelligence (AI) to examine predictive factors related to recurrence.

Authors

  • Yutaro Kamei
    Department of Surgery, Tokai University, School of Medicine, Isehara, Japan.
  • Tetsuro Takayama
    Department of Gastroenterology, Tokai University Hachioji Hospital, Hachioji, Japan.
  • Toshiyuki Suzuki
    Department of Surgery, Tokai University, School of Medicine, Isehara, Japan.
  • Kenichi Furihata
    P-One Clinic, Keikokai Medical Corporation, Hachioji, Japan.
  • Megumi Otsuki
    West Japan Testing Department, SRL, Inc., Tokyo, Japan.
  • Sotaro Sadahiro
    Department of Surgery, Tokai University, School of Medicine, Isehara, Japan, sadahiro@is.icc.u-tokai.ac.jp.

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