A deep learning-based radiomics model for predicting lymph node status from lung adenocarcinoma.

Journal: BMC medical imaging
Published Date: May 24, 2024

Abstract

OBJECTIVES: At present, there are many limitations in the evaluation of lymph node metastasis of lung adenocarcinoma. Currently, there is a demand for a safe and accurate method to predict lymph node metastasis of lung cancer. In this study, radiomics was used to accurately predict the lymph node status of lung adenocarcinoma patients based on contrast-enhanced CT.

Authors

  • Hui Xie
    Department of Breast Diseases, The First Affiliated Hospital of Nanjing Medical University & Jiangsu Province Hospital, Nanjing, Jiangsu, China.
  • Chaoling Song
    School of Medical Imaging, Laboratory Science and Rehabilitation, Xiangnan University, Chenzhou, Hunan province, 423000, People's Republic of China.
  • Lei Jian
    School of Medical Imaging, Laboratory Science and Rehabilitation, Xiangnan University, Chenzhou, Hunan province, 423000, People's Republic of China.
  • Yeang Guo
    School of Medical Imaging, Laboratory Science and Rehabilitation, Xiangnan University, Chenzhou, Hunan province, 423000, People's Republic of China.
  • Mei Li
    Department of Laboratory Medicine, Med+X Center for Manufacturing, West China Hospital, Sichuan University, Chengdu, Sichuan, 610041, China.
  • Jiang Luo
    Jiangxi Province Hospital of Integrated Chinese and Western Medicine, Nanchang, P. R. China.
  • Qing Li
    Department of Internal Medicine, University of Michigan Ann Arbor, MI 48109, USA.
  • Tao Tan
    Faculty of Applied Sciences, Macao Polytechnic University, Macao, China.

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