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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.
Afiliación
  • 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 en En | MEDLINE | ID: mdl-36461783
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Adenocarcinoma / Adenocarcinoma del Pulmón / Neoplasias Pulmonares Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: Jpn J Clin Oncol Año: 2023 Tipo del documento: Article País de afiliación: Japón
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Adenocarcinoma / Adenocarcinoma del Pulmón / Neoplasias Pulmonares Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: Jpn J Clin Oncol Año: 2023 Tipo del documento: Article País de afiliación: Japón