PESI-MS combined with AI to build a prediction model for lymph node metastasis of papillary thyroid cancer.

Journal: Pathology, research and practice
Published Date: Apr 11, 2025

Abstract

OBJECTIVE: Construct a prediction model for lymph node metastasis (LNM) in papillary thyroid carcinoma (PTC) using Probe Electrospray Ionization Mass Spectrometry (PESI - MS) combined with artificial intelligence (AI), to assist in the preoperative prediction of lymph node metastasis in thyroid carcinoma by intraoperative frozen pathology.

Authors

  • Qixin Huang
    Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100006, China; Department of Pathology, China-Japan Friendship Hospital, Beijing 100029, China.
  • Zhenhe Chen
    Shimadzu China Innovation Center, Shimadzu China, Beijing 100020, China.
  • Lingyu Zhao
    Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100006, China; Department of Pathology, China-Japan Friendship Hospital, Beijing 100029, China.
  • Lichao Jiang
    Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100006, China; Department of Pathology, China-Japan Friendship Hospital, Beijing 100029, China.
  • Ye Wang
    College of Computer Science and Technology, Jilin University, Changchun 130012, China.
  • Qianqian Feng
    Department of Pathology, China-Japan Friendship Hospital, Beijing 100029, China.
  • Yajuan Lei
    College of Electronics and Information, Qingdao University, Qingdao, 266071, China.
  • Xiaodong Li
  • Dingrong Zhong
    Department of Pathology, China-Japan Friendship Hospital, China. Electronic address: 748803069@qq.com.

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