Radiation pneumonitis prediction after stereotactic body radiation therapy based on 3D dose distribution: dosiomics and/or deep learning-based radiomics features.

Journal: Radiation oncology (London, England)
PMID:

Abstract

BACKGROUND: This study was designed to establish radiation pneumonitis (RP) prediction models using dosiomics and/or deep learning-based radiomics (DLR) features based on 3D dose distribution.

Authors

  • Ying Huang
    Department of Otolaryngology, Head and Neck Surgery, Affiliated Hospital of Southwest Medical University Luzhou, Sichuan, China.
  • Aihui Feng
    Department of Radiation Oncology, Shanghai Chest Hospital, Shanghai Jiao Tong University, Shanghai, China.
  • Yang Lin
    Shanghai Chest Hospital, Shanghai Jiao Tong University, Shanghai, 200030, China.
  • Hengle Gu
    Department of Radiation Oncology, Shanghai Chest Hospital, Shanghai Jiao Tong University, Shanghai, China.
  • Hua Chen
    Management College, Beijing Union University, Beijing, China.
  • Hao Wang
    Department of Cardiology, Second Medical Center, Chinese PLA General Hospital, Beijing, China.
  • Yan Shao
    Department of Radiation Oncology, Shanghai Chest Hospital, Shanghai Jiao Tong University, Shanghai, China.
  • Yanhua Duan
    Department of Radiation Oncology, Shanghai Chest Hospital, Shanghai Jiao Tong University, Shanghai, China.
  • Weihai Zhuo
    Key Lab of Nuclear Physics & Ion-Beam Application (MOE), 12478Fudan University, Shanghai, China.
  • Zhiyong Xu