Neural Network-based Automated Classification of 18 F-FDG PET/CT Lesions and Prognosis Prediction in Nasopharyngeal Carcinoma Without Distant Metastasis.

Journal: Clinical nuclear medicine
Published Date: Aug 1, 2025

Abstract

PURPOSE: To evaluate the diagnostic performance of the PET Assisted Reporting System (PARS) in nasopharyngeal carcinoma (NPC) patients without distant metastasis, and to investigate the prognostic significance of the metabolic parameters.

Authors

  • Yuhu Lv
    Department of Nuclear Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology.
  • Danzha Zheng
    Department of Nuclear Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology.
  • Ruiping Wang
  • Zhangyongxue Zhou
    Department of Nuclear Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology.
  • Zairong Gao
    Department of Nuclear Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.
  • Xiaoli Lan
    Department of Nuclear Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430000, China.
  • Chunxia Qin
    Infervision Medical Technology Co., Ltd., Beijing, China.

Keywords

External Resources

Popular Topics
Recent Journals