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Prediction of Recurrence Pattern of Pancreatic Cancer Post-Pancreatic Surgery Using Histology-Based Supervised Machine Learning Algorithms: A Single-Center Retrospective Study.
Hayashi, Koki; Ono, Yoshihiro; Takamatsu, Manabu; Oba, Atsushi; Ito, Hiromichi; Sato, Takafumi; Inoue, Yosuke; Saiura, Akio; Takahashi, Yu.
  • Hayashi K; Division of Hepatobiliary and Pancreatic Surgery, Cancer Institute Hospital of the Japanese Foundation for Cancer Research, Koto-ku, Tokyo, Japan.
  • Ono Y; Division of Hepatobiliary and Pancreatic Surgery, Cancer Institute Hospital of the Japanese Foundation for Cancer Research, Koto-ku, Tokyo, Japan.
  • Takamatsu M; Division of Pathology, Department of Pathology, Cancer Institute, Cancer Institute Hospital of the Japanese Foundation for Cancer Research, Koto-ku, Tokyo, Japan. manabu.takamatsu@jfcr.or.jp.
  • Oba A; Division of Hepatobiliary and Pancreatic Surgery, Cancer Institute Hospital of the Japanese Foundation for Cancer Research, Koto-ku, Tokyo, Japan.
  • Ito H; Division of Hepatobiliary and Pancreatic Surgery, Cancer Institute Hospital of the Japanese Foundation for Cancer Research, Koto-ku, Tokyo, Japan.
  • Sato T; Division of Hepatobiliary and Pancreatic Surgery, Cancer Institute Hospital of the Japanese Foundation for Cancer Research, Koto-ku, Tokyo, Japan.
  • Inoue Y; Division of Hepatobiliary and Pancreatic Surgery, Cancer Institute Hospital of the Japanese Foundation for Cancer Research, Koto-ku, Tokyo, Japan.
  • Saiura A; Division of Hepatobiliary and Pancreatic Surgery, Cancer Institute Hospital of the Japanese Foundation for Cancer Research, Koto-ku, Tokyo, Japan.
  • Takahashi Y; Department of Hepatobiliary-Pancreatic Surgery, Juntendo University Hospital, Bunkyo-ku, Tokyo, Japan.
Ann Surg Oncol ; 2022 Mar 01.
Article en En | MEDLINE | ID: mdl-35230581
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Texto completo: 1 Banco de datos: MEDLINE Tipo de estudio: Observational_studies / Prognostic_studies / Risk_factors_studies Idioma: En Año: 2022 Tipo del documento: Article
Texto completo
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PubMed Links
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Texto completo: 1 Banco de datos: MEDLINE Tipo de estudio: Observational_studies / Prognostic_studies / Risk_factors_studies Idioma: En Año: 2022 Tipo del documento: Article