Survival prediction for stage I-IIIA non-small cell lung cancer using deep learning.

Journal: Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology
Published Date: Jan 20, 2023

Abstract

BACKGROUND AND PURPOSE: The aim of this study was to develop and evaluate a prediction model for 2-year overall survival (OS) in stage I-IIIA non-small cell lung cancer (NSCLC) patients who received definitive radiotherapy by considering clinical variables and image features from pre-treatment CT-scans.

Authors

  • Sunyi Zheng
  • Jiapan Guo
    University Medical Center Groningen, Center for Medical Imaging - North East Netherlands, University of Groningen, Hanzeplein 1, 9713 GZ, Groningen, The Netherlands.
  • Johannes A Langendijk
    Department of Radiation Oncology, University of Groningen, University Medical Center Groningen, The Netherlands.
  • Stefan Both
    Department of Radiation Oncology, University of Groningen, University Medical Center Groningen, The Netherlands.
  • Raymond N J Veldhuis
  • Matthijs Oudkerk
    University Medical Center, Groningen, The Netherlands.
  • Peter M A van Ooijen
    University Medical Center Groningen, Center for Medical Imaging - North East Netherlands, University of Groningen, Hanzeplein 1, 9713 GZ, Groningen, The Netherlands.
  • Robin Wijsman
    Department of Radiation Oncology, Radboud University Medical Center, Nijmegen, The Netherlands.
  • Nanna M Sijtsema
    Department of Radiation Oncology, University of Groningen, University Medical Center Groningen, The Netherlands.

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