A machine learning model utilizing Delphian lymph node characteristics to predict contralateral central lymph node metastasis in papillary thyroid carcinoma: a prospective multicenter study.

Journal: International journal of surgery (London, England)
Published Date: Jan 1, 2025

Abstract

BACKGROUND: This study aimed to use artificial intelligence (AI) to integrate various radiological and clinical pathological data to identify effective predictors of contralateral central lymph node metastasis (CCLNM) in patients with papillary thyroid carcinoma (PTC) and to establish a clinically applicable model to guide the extent of surgery.

Authors

  • Jia-Ling He
    Department of Breast and Thyroid Surgery, Southwest Hospital, Army Medical University, Shapingba District.
  • Yu-Zhao Yan
    Department of Breast and Thyroid Surgery, Southwest Hospital, Army Medical University, Shapingba District.
  • Yan Zhang
    Affiliated Hospital of Liaoning University of Traditional Chinese Medicine, Shenyang, 110032, China.
  • Jin-Sui Li
    Department of Academician (expert) Workstation, Biological Targeting Laboratory of Breast Cancer, Breast and Thyroid Surgery, Affiliated Hospital of North Sichuan Medical College, Nanchong, Sichuan.
  • Fei Wang
    Department of Population Health Sciences, Weill Cornell Medicine, Cornell University, New York, NY, United States.
  • Yi You
    Nanjing University of Chinese Medicine, Nanjing, China.
  • Wei Liu
    Department of Radiation Oncology, Mayo Clinic, Scottsdale, AZ, United States.
  • Ying Hu
    Department of Ultrasonography, The First Affiliated Hospital, College of Medicine, Zhejiang University, Qingchun Road No. 79, Hangzhou, Zhejiang 310003, China.
  • Ming-Hao Wang
    Department of Breast and Thyroid Surgery, Southwest Hospital, Army Medical University, Shapingba District.
  • Qing-Wen Pan
    Department of Breast and Thyroid Surgery, Southwest Hospital, Army Medical University, Shapingba District.
  • Yan Liang
    Department of Chemistry and Biochemistry, The University of Arizona, Tucson, AZ, 85721, United States.
  • Ming-Shijing Ren
    Department of Breast and Thyroid Surgery, Southwest Hospital, Army Medical University, Shapingba District.
  • Zi-Wei Wu
    Hong Kong University of Science and Technology, Clear Water Bay Division of Emerging Interdisciplinary Areas, Academy of Interdisciplinary Studies.
  • Kai You
    Department of Pharmacy of Jiangbei Campus, The 958th Hospital of Chinese People's Liberation Army, Chongqing, People's Republic of China.
  • Yi Zhang
    Department of Thyroid Surgery, China-Japan Union Hospital of Jilin University, Jilin University, Changchun, China.
  • Jun Jiang
    Key Laboratory of Precision and Intelligent Chemistry, School of Chemistry and Materials Science, University of Science and Technology of China, China.
  • Peng Tang

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