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The International Association for the Study of Lung Cancer (IASLC) Staging Project for Lung Cancer: Recommendation to Introduce Spread Through Air Spaces as a Histologic Descriptor in the Ninth Edition of the TNM Classification of Lung Cancer. Analysis of 4061 Pathologic Stage I NSCLC.

William D TravisMegan EiseleKatherine K NishimuraRania G AlyPietro BertoglioTeh-Ying ChouFrank C DetterbeckJessica DonningtonWentao FangPhilippe JoubertKemp KernstineYoung Tae KimYolande LievensHui LiuGustavo LyonsMari Mino-KenudsonAndrew G NicholsonMauro PapottiRamon Rami-PortaValerie RuschShuji SakaiPaula UgaldePaul Van SchilChi-Fu Jeffrey YangVanessa J CilentoMasaya YotsukuraHisao Asamuranull null
Published in: Journal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer (2024)
These data support our recommendation to include STAS as a histologic descriptor for the Ninth Edition of the TNM Classification of Lung Cancer. Hopefully, gathering these data in the coming years will facilitate a thorough analysis to better understand the relative impact of STAS, LVI, and VPI on lung cancer staging for the Tenth Edition TNM Stage Classification.
Keyphrases
  • machine learning
  • deep learning
  • lymph node
  • small cell lung cancer
  • electronic health record
  • big data
  • neoadjuvant chemotherapy
  • radiation therapy
  • quality improvement
  • rectal cancer