Deep Learning Model Based on Dual-energy CT for Assessing Cervical Lymph Node Metastasis in Oral Squamous Cell Carcinoma.

Journal: Academic radiology
Published Date: Jul 7, 2025

Abstract

BACKGROUND: Accurate detection of lymph node metastasis (LNM) in oral squamous cell carcinoma (OSCC) is crucial for treatment planning. This study developed a deep learning model using dual-energy CT to improve LNM detection.

Authors

  • Yi-Ming Qi
    Department of Radiology, The Second Xiangya Hospital of Central South University, Changsha, China (Y.M.Q., L.J.Z., Y.J.L., E.H.X., Y.H.L.).
  • Li-Jie Zhang
    Zhongshan Institute for Drug Discovery, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Zhongshan 528400, China.
  • Yu Wang
    Clinical and Technical Support, Philips Healthcare, Shanghai, China.
  • Xiao-Hui Duan
    Department of Radiology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, No. 107 Yanjiang Road West, Guangdong, China (Y.W., X.H.D.).
  • Ya-Jun Li
    Department of Radiology, The Second Xiangya Hospital of Central South University, Changsha, China (Y.M.Q., L.J.Z., Y.J.L., E.H.X., Y.H.L.).
  • En-Hua Xiao
    Department of Radiology, The Second Xiangya Hospital of Central South University, Changsha, China (Y.M.Q., L.J.Z., Y.J.L., E.H.X., Y.H.L.).
  • Yong-Heng Luo
    Department of Radiology, The Second Xiangya Hospital of Central South University, 139 Renming Middle Road, Changsha, Hunan, China.

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