CT-based deep learning model for improved disease-free survival prediction in clinical stage I lung cancer: a real-world multicenter study.

Journal: European radiology
Published Date:

Abstract

OBJECTIVES: To develop a deep learning (DL) model for predicting disease-free survival (DFS) in clinical stage I lung cancer patients who underwent surgical resection using pre-treatment CT images, and further validate it in patients receiving stereotactic body radiation therapy (SBRT).

Authors

  • Yuanyuan Fu
    College of Chemistry, Sichuan University, Chengdu 610064, PR China.
  • Runping Hou
    Department of Radiation Oncology, Shanghai Chest Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
  • Liqiang Qian
    Department of Oncological Surgery, Shanghai Lung Cancer Center, Shanghai Chest Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
  • Wen Feng
    Department of Gastroenterology, Songjiang Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 201600, China. 734001525@shsmu.edu.cn.
  • Qin Zhang
    Department of Burn, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.
  • Wen Yu
    2 Department of Radiotherapy, Shanghai Chest Hospital, Shanghai Jiao Tong University , Shanghai , China.
  • Xuwei Cai
    Department of Radiation Oncology, Shanghai Chest Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China. Electronic address: birdhome2000@163.com.
  • Jun Liu
    Department of Radiology, Second Xiangya Hospital, Changsha, Hunan, China.
  • Yu Wang
    Clinical and Technical Support, Philips Healthcare, Shanghai, China.
  • Zhengping Ding
    Department of Oncological Surgery, Shanghai Lung Cancer Center, Shanghai Chest Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
  • Yujin Xu
    Department of Thoracic Radiotherapy, Zhejiang Cancer Hospital, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, Zhejiang, China. xuyj@zjcc.org.cn.
  • Jun Zhao
  • Xiaolong Fu
    Department of Radiation Oncology, Shanghai Chest Hospital, Shanghai Jiao Tong University, Shanghai, China.

Keywords

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