Noninvasive prediction of lymph node metastasis in pancreatic cancer using an ultrasound-based clinicoradiomics machine learning model.

Journal: Biomedical engineering online
Published Date: Jun 18, 2024

Abstract

OBJECTIVES: This study was designed to explore and validate the value of different machine learning models based on ultrasound image-omics features in the preoperative diagnosis of lymph node metastasis in pancreatic cancer (PC).

Authors

  • Dong-Yue Wen
    Department of Medical Ultrasonics, Guangxi Zhuang Autonomous Region, First Affiliated Hospital of Guangxi Medical University, Nanning, 530021, People's Republic of China.
  • Jia-Min Chen
    Department of Medical Ultrasonics, Guangxi Zhuang Autonomous Region, First Affiliated Hospital of Guangxi Medical University, Nanning, 530021, People's Republic of China.
  • Zhi-Ping Tang
    Department of Medical Ultrasonics, Guangxi Zhuang Autonomous Region, First Affiliated Hospital of Guangxi Medical University, Nanning, 530021, People's Republic of China.
  • Jin-Shu Pang
    Department of Medical Ultrasonics, Guangxi Zhuang Autonomous Region, First Affiliated Hospital of Guangxi Medical University, Nanning, 530021, People's Republic of China.
  • Qiong Qin
    Department of Medical Ultrasonics, Guangxi Zhuang Autonomous Region, First Affiliated Hospital of Guangxi Medical University, Nanning, 530021, People's Republic of China.
  • Lu Zhang
    Department of Computer Science and Engineering, The University of Texas at Arlington, Arlington, TX, United States.
  • Yun He
    Metanotitia Inc., Shenzhen, China.
  • Hong Yang
    Cyberspace Institute of Advanced Technology, Guangzhou University, Guangzhou, China.

Keywords

External Resources

Popular Topics
Recent Journals