Deep learning dosiomics in grade 4 radiation-induced lymphopenia prediction in radiotherapy for esophageal cancer: a multi-center study.

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

Abstract

PURPOSE: To investigate the feasibility and accuracy of using deep learning and dosiomics features, as well as their combination with dose-volume histogram (DVH) parameters and clinical factors to predict grade 4 radiation-induced lymphopenia (G4RIL) for patients with esophageal cancer (EC) who undergoing radiotherapy (RT).

Authors

  • Qiao Zheng
  • Xianwen Yu
    ByteDance Inc, Beijing, China.
  • Wenkai Pan
    Department of Nuclear Medicine, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou 310020, China.
  • Yao Ai
    Radiotherapy Center, 1st Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.
  • Ziyang Liu
    Department of Pharmacy Practice and Science, University of Arizona, Tucson, AZ, USA.
  • Tongbin Zhang
    Department of Information, First Affiliated Hospital of Wenzhou Medical University, Wenzhou 325000, China.
  • Ziqing Xiang
    Department of Radiotherapy Center, 1(st) Affiliated Hospital of Wenzhou Medical University, Wenzhou 325000, PR China.
  • Xiyao Lei
    Department of Radiation Oncology, Lishui Central Hospital, Lishui 323000, China.
  • Mingqi Zhu
    Department of Radiation and Medical Oncology, First Affiliated Hospital of Wenzhou Medical University, Wenzhou 325000, China; Department of Radiation Oncology, Lishui Central Hospital, Lishui 323000, China.
  • Jianping Wu
    Department of Civil Engineering, Tsinghua University, Beijing, 100084, China.
  • Chengjian Xiao
    Department of Radiation Oncology, GanZhou Cancer Hospital, Ganzhou, China.
  • Li Shao
    Department of Radiotherapy Center, 1(st) Affiliated Hospital of Wenzhou Medical University, Wenzhou 325000, PR China.
  • Wenhao Guo
    Department of Statistics and Data Science, BNU-HKBU United International College, Zhuhai, China.
  • Sunjun Li
    Alberta College, Wenzhou Medical University, Wenzhou 325000, China.
  • Junhao Ma
    College of Electrical Engineering and Automation, Shandong University of Science and Technology, Qingdao 266590, China.
  • Yuxin Lou
    Department of Radiation and Medical Oncology, First Affiliated Hospital of Wenzhou Medical University, Wenzhou 325000, China.
  • Lijing Liu
    Medical College, Hunan University of Medicine, Huaihua 418000, China.
  • Congying Xie
    Department of Radiation and Medical Oncology, The 1st Affiliated Hospital of Wenzhou Medical University, No.2 Fuxue Lane, Wenzhou, 325000, People's Republic of China. wzxiecongying@163.com.
  • Xiance Jin
    Department of Radiation and Medical Oncology, The 1st Affiliated Hospital of Wenzhou Medical University, No.2 Fuxue Lane, Wenzhou, 325000, People's Republic of China.