Clinical benefits of deep learning-assisted ultrasound in predicting lymph node metastasis in pancreatic cancer patients.

Journal: Future oncology (London, England)
Published Date: Jun 23, 2025

Abstract

AIM: This study aimed to develop and validate a deep learning radiomics nomogram (DLRN) derived from ultrasound images to improve predictive accuracy for lymph node metastasis (LNM) in pancreatic cancer (PC) patients.

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

No keywords available for this article.

External Resources

Popular Topics
Recent Journals