Predicting prognosis of nasopharyngeal carcinoma based on deep learning: peritumoral region should be valued.

Journal: Cancer imaging : the official publication of the International Cancer Imaging Society
PMID: 36759889

Abstract

BACKGROUND: The purpose of this study was to explore whether incorporating the peritumoral region to train deep neural networks could improve the performance of the models for predicting the prognosis of NPC.

Authors

  • Song Li
    Department of Crop and Soil Environmental Sciences, Virginia Polytechnic Institute and State University Blacksburg, VA, USA.
  • Xia Wan
    Department of Otolaryngology-Head & Neck Surgery, Ezhou Central Hospital, No. 9 Wenxing Road, Ezhou, 436000, P.R. China.
  • Yu-Qin Deng
    Department of Otolaryngology-Head and Neck Surgery, Renmin Hospital of Wuhan University, Wuhan, China.
  • Hong-Li Hua
    Department of Otolaryngology-Head and Neck Surgery, Renmin Hospital of Wuhan University, Wuhan, China.
  • Sheng-Lan Li
    Department of Radiology, Renmin Hospital of Wuhan University, Wuhan, China.
  • Xi-Xiang Chen
    Department of Radiology, Renmin Hospital of Wuhan University, Wuhan, China.
  • Man-Li Zeng
    Department of Otolaryngology-Head & Neck Surgery, Ezhou Central Hospital, No. 9 Wenxing Road, Ezhou, 436000, P.R. China.
  • Yunfei Zha
    Department of Radiology, Department of Infection Prevention and Control, Renmin Hospital, Wuhan University, Wuhan, China.
  • Ze-Zhang Tao
    Department of Otolaryngology-Head and Neck Surgery, Renmin Hospital of Wuhan University, Wuhan, China.

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