Development and validation of a machine learning model for central compartmental lymph node metastasis in solitary papillary thyroid microcarcinoma via ultrasound imaging features and clinical parameters.

Journal: BMC medical imaging
Published Date: Jul 1, 2025

Abstract

BACKGROUND: Papillary thyroid microcarcinoma (PTMC) is the most common malignant subtype of thyroid cancer. Preoperative assessment of the risk of central compartment lymph node metastasis (CCLNM) can provide scientific support for personalized treatment decisions prior to microwave ablation of thyroid nodules. The objective of this study was to develop a predictive model for CCLNM in patients with solitary PTMC on the basis of a combination of ultrasound radiomics and clinical parameters.

Authors

  • Haiyang Han
    Department of Ultrasound, The First College of Clinical Medical Science, China Three Gorges University & Yichang Central People's Hospital, Yichang, 443003, China.
  • Heng Sun
  • Chang Zhou
    School of Computer Science and Technology, Tianjin University, Nankai District, Tianjin 300072, China. fujisyu@163.com.
  • Li Wei
    The First Affiliate Hospital of Guangzhou Medical University, Guangzhou, China.
  • Liang Xu
  • Dian Shen
    School of Computer Science and Engineering, Southeast University, Nanjing, China.
  • Wenshu Hu
    Department of Ultrasound, The First College of Clinical Medical Science, China Three Gorges University & Yichang Central People's Hospital, Yichang, 443003, China.

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