Deep learning based on ultrasound images predicting cervical lymph node metastasis in postoperative patients with differentiated thyroid carcinoma.

Journal: The British journal of radiology
Published Date: Jun 1, 2025

Abstract

OBJECTIVES: To develop a deep learning (DL) model based on ultrasound (US) images of lymph nodes for predicting cervical lymph node metastasis (CLNM) in postoperative patients with differentiated thyroid carcinoma (DTC).

Authors

  • Fengjing Fan
    Department of Medical Ultrasound, Shandong Medicine and Health Key Laboratory of Abdominal Medical Imaging, The First Affiliated Hospital of Shandong First Medical University & Shandong Provincial Qianfoshan Hospital, Jinan, 250014, China.
  • Fei Li
    Institute for Precision Medicine, Tsinghua University, Beijing, China.
  • Yixuan Wang
    Department of Cardiovascular Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.
  • Tong Liu
    Intensive Care Medical Center, Tongji Hospital, School of Medicine, Tongji University, Shanghai, 200065, People's Republic of China.
  • Kesong Wang
    School of Computer Science and Technology, Shandong Jianzhu University, Jinan, China.
  • Xiaoming Xi
    School of Computer Science and Technology, Shandong Jianzhu University, Jinan SD, China.
  • Bei Wang
    University of Utah, USA.

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