Prognostic Value of a Combined Nomogram Model Integrating 3-Dimensional Deep Learning and Radiomics for Head and Neck Cancer.

Journal: Journal of computer assisted tomography
Published Date: Feb 27, 2024

Abstract

OBJECTIVE: The preoperative prediction of the overall survival (OS) status of patients with head and neck cancer (HNC) is significant value for their individualized treatment and prognosis. This study aims to evaluate the impact of adding 3D deep learning features to radiomics models for predicting 5-year OS status.

Authors

  • Shuyan Li
  • Jiayi Xie
    Department of automation, Tsinghua University, Beijing, China.
  • Jinghua Liu
    Department of Cardiology Beijing Anzhen Hospital Capital University of Medical Sciences Beijing 100029 China.
  • Yanjun Wu
    Institute of Software, Chinese Academy of Sciences.
  • Zhongxiao Wang
    Department of Biomedical Engineering, Chengde Medical University, Chengde, Hebei, China.
  • Zhendong Cao
    Department of Radiology, the Affiliated Hospital of Chengde Medical University, Chengde, China.
  • Dong Wen
    Center for Medical Informatics, Peking University, Beijing, China.
  • Xiaolei Zhang
    College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou, Zhejiang, 310058, China; Key Laboratory of on Site Processing Equipment for Agricultural Products, Ministry of Agriculture and Rural Affairs, China.
  • Bingzhen Wang
  • Yifan Yang
    College of Food Science, Sichuan Agricultural University, Ya'an 625014, China.
  • Lijun Lu
    School of Biomedical Engineering, Southern Medical University, Guangzhou, China.
  • Xianling Dong
    Present Address: Department of Biomedical Engineering, Chengde Medical University, Chengde City, Hebei Province, China.

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