Prediction of peripheral lymph node metastasis (LNM) in thyroid cancer using delta radiomics derived from enhanced CT combined with multiple machine learning algorithms.

Journal: European journal of medical research
PMID: 40075509

Abstract

OBJECTIVES: This study aimed to develop a model for predicting peripheral lymph node metastasis (LNM) in thyroid cancer patients by combining enhanced CT radiomic features with machine learning algorithms. It increased the clinical utility and interpretability of the predictions through SHAP (SHapley Additive exPlanation) values and nomograms for model explanation and visualization.

Authors

  • Wenzhi Wang
    Center of PET/CT, The Third Affiliated Hospital of Harbin Medical University, The Affiliated Tumor Hospital of Harbin Medical University, Harbin, China.
  • Feng Jin
    IBM Research China, Beijing, China.
  • Lina Song
    Department of Cardiology, Radiology, and Surgery, Xiangyang No.1 People's Hospital, Hubei University of Medicine, Xiangyang, 441000, China.
  • Jinfang Yang
    Department of Cardiology, Radiology, and Surgery, Xiangyang No.1 People's Hospital, Hubei University of Medicine, Xiangyang, 441000, China.
  • Yingjian Ye
    Department of Cardiology, Radiology, and Surgery, Xiangyang No.1 People's Hospital, Hubei University of Medicine, Xiangyang, 441000, China.
  • Junjie Liu
    Tianjin Key Lab of Indoor Air Environmental Quality Control, School of Environmental Science and Engineering, Tianjin University, Tianjin, 300072, China.
  • Lei Xu
    Key Laboratory of Biomedical Information Engineering of the Ministry of Education, Department of Biomedical Engineering, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, China.
  • Peng An
    Department of Radiology, Xiangyang NO.1 People's Hospital Affiliated to Hubei University of Medicine Xiangyang, Hubei, China.

Keywords

External Resources

Popular Topics
Recent Journals