A Preoperative Prediction Model for Lymph Node Metastasis in Patients with Gastric Cancer Using a Machine Learning-based Ultrasomics Approach.

Journal: Current medical imaging
Published Date:

Abstract

OBJECTIVE: This study aimed to develop an ultrasomics model for predicting lymph node metastasis preoperative in patients with gastric cancer (GC).

Authors

  • Wei-Wei Lin
    Department of Ultrasound, The Third Affiliated People's Hospital of Fujian University of Traditional Chinese Medicine, Fuzhou, China.
  • Qi Zhong
    School of Basic Medical Sciences, Fujian Medical University, Fuzhou, China.
  • Jingjing Guo
    The School of Management, Hefei University of Technology, Hefei, China.
  • Shanshan Yu
    State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Centre, Sun Yat-sen University, Guangzhou, Guangdong, China.
  • Kunhuang Li
    Department of Ultrasound, Yongchun County Maternal and Child Health Hospital, Quanzhou, China.
  • Qingling Shen
    Department of Ultrasound, Fujian Medical University Union Hospital, Fuzhou, China.
  • Minling Zhuo
    Department of Ultrasound, Fujian Medical University Union Hospital, Fuzhou, China.
  • Ensheng Xue
    Department of Ultrasound, Union Hospital of Fujian Medical University, Fujian Institute of Ultrasound Medicine, Fuzhou, China.
  • Peng Lin
    Zhejiang Key Laboratory of Excited-State Energy Conversion and Energy Storage, Department of Chemistry, Zhejiang University, Hangzhou 310058, China.
  • Zhikui Chen
    School of Software, Dalian University of Technology, Dalian, Liaoning, China zkchen@dlut.edu.cn.