Machine learning model for predicting recurrence following intensity-modulated radiation therapy in nasopharyngeal carcinoma.

Journal: World journal of surgical oncology
Published Date: Jun 18, 2025

Abstract

BACKGROUND: Nasopharyngeal carcinoma (NPC) exhibits unique histopathological characteristics compared to other head and neck cancers. The prognosis of NPC patients after intensity-modulated radiation therapy (IMRT) has not been fully studied, and there remains a high risk of recurrence. This study aims to construct a reliable model for predicting post-treatment recurrence by integrating high-accuracy machine learning (ML) models.

Authors

  • Mi Wang
    Department of Dermatology, Hunan Key Laboratory of Skin Cancer and Psoriasis, Hunan Engineering Research Center of Skin Health and Disease, Xiangya Clinical Research Center for Cancer Immunotherapy, Xiangya Hospital, Central South University, 87 Xiangya Road, Changsha, Hunan, China. mi.wang@csu.edu.cn.
  • Qingxiu Yao
    Department of Otolaryngology, The First Affiliated Hospital, Zhejiang University School of Medicine, Zhejiang, China.
  • Weiliu Zhu
    Department of Otolaryngology, The First Affiliated Hospital, Zhejiang University School of Medicine, Zhejiang, China.
  • Nianci Xiao
    Department of Otolaryngology, The First Affiliated Hospital, Zhejiang University School of Medicine, Zhejiang, China.
  • Libo Dai
    Department of Otolaryngology, The First Affiliated Hospital, Zhejiang University School of Medicine, Zhejiang, China. 1506027@zju.edu.cn.

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