An Intelligent Clinical Decision Support System for Preoperative Prediction of Lymph Node Metastasis in Gastric Cancer.

Journal: Journal of the American College of Radiology : JACR
Published Date:

Abstract

PURPOSE: The aim of this study was to develop and validate a computational clinical decision support system (DSS) on the basis of CT radiomics features for the prediction of lymph node (LN) metastasis in gastric cancer (GC) using machine learning-based analysis.

Authors

  • Qiu-Xia Feng
    Department of Radiology, The First Affiliated Hospital with Nanjing Medical University, Nanjing, China.
  • Chang Liu
    Key Lab of Cell Differentiation and Apoptosis of Ministry of Education, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
  • Liang Qi
    Department of Radiology, The First Affiliated Hospital with Nanjing Medical University, Nanjing, China.
  • Shu-Wen Sun
    Department of Radiology, First Affiliated Hospital With Nanjing Medical University, Nanjing, China.
  • Yang Song
    Biomedical and Multimedia Information Technology (BMIT) Research Group, School of IT, University of Sydney, NSW 2006, Australia. Electronic address: yson1723@uni.sydney.edu.au.
  • Guang Yang
    National Heart and Lung Institute, Imperial College London, London, UK.
  • Yu-Dong Zhang
    University of Leicester, Leicester, United Kingdom.
  • Xi-Sheng Liu
    Department of Radiology, The First Affiliated Hospital with Nanjing Medical University, Nanjing, China.