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The efficacy of a machine learning algorithm for assessing tumour components as a prognostic marker of surgically resected stage IA lung adenocarcinoma.
Terada, Yukihiro; Isaka, Mitsuhiro; Kawata, Takuya; Mizuno, Kiyomichi; Muramatsu, Koji; Katsumata, Shinya; Konno, Hayato; Nagata, Toshiyuki; Mizuno, Tetsuya; Serizawa, Masakuni; Ono, Akira; Sugino, Takashi; Shimizu, Kimihiro; Ohde, Yasuhisa.
Affiliation
  • Terada Y; Division of Thoracic Surgery, Shizuoka Cancer Center, Shizuoka, Japan.
  • Isaka M; Division of Thoracic Surgery, Shinshu University School of Medicine, Nagano, Japan.
  • Kawata T; Division of Thoracic Surgery, Shizuoka Cancer Center, Shizuoka, Japan.
  • Mizuno K; Division of Pathology, Shizuoka Cancer Center, Shizuoka, Japan.
  • Muramatsu K; Division of Thoracic Surgery, Shizuoka Cancer Center, Shizuoka, Japan.
  • Katsumata S; Division of Pathology, Shizuoka Cancer Center, Shizuoka, Japan.
  • Konno H; Division of Thoracic Surgery, Shizuoka Cancer Center, Shizuoka, Japan.
  • Nagata T; Division of Thoracic Surgery, Shizuoka Cancer Center, Shizuoka, Japan.
  • Mizuno T; Division of Thoracic Surgery, Shizuoka Cancer Center, Shizuoka, Japan.
  • Serizawa M; Division of Thoracic Surgery, Shizuoka Cancer Center, Shizuoka, Japan.
  • Ono A; Drug Discovery and Development Division, Research Institute, Shizuoka Cancer Center, Shizuoka, Japan.
  • Sugino T; Division of Thoracic Oncology, Shizuoka Cancer Center, Shizuoka, Japan.
  • Shimizu K; Division of Pathology, Shizuoka Cancer Center, Shizuoka, Japan.
  • Ohde Y; Division of Thoracic Surgery, Shinshu University School of Medicine, Nagano, Japan.
Jpn J Clin Oncol ; 53(2): 161-167, 2023 Jan 28.
Article in En | MEDLINE | ID: mdl-36461783
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Adenocarcinoma / Adenocarcinoma of Lung / Lung Neoplasms Type of study: Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: Jpn J Clin Oncol Year: 2023 Type: Article Affiliation country: Japan
Fulltext
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Adenocarcinoma / Adenocarcinoma of Lung / Lung Neoplasms Type of study: Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: Jpn J Clin Oncol Year: 2023 Type: Article Affiliation country: Japan