Preliminary study on the ability of the machine learning models based on F-FDG PET/CT to differentiate between mass-forming pancreatic lymphoma and pancreatic carcinoma.

Journal: European journal of radiology
Published Date: May 25, 2024

Abstract

PURPOSE: The objective of this study was to preliminarily assess the ability of metabolic parameters and radiomics derived from F-fluorodeoxyglucose positron emission tomography/computed tomography (F-FDG PET/CT) to distinguish mass-forming pancreatic lymphoma from pancreatic carcinoma using machine learning.

Authors

  • Jian Wang
    Veterinary Diagnostic Center, Shanghai Animal Disease Control Center, Shanghai, China.
  • Yujing Zhou
    The School of Electronic Engineering and Optoelectronic Technology, Nanjing University of Science and Technology, 200 Xiaolingwei Road, Xuanwu Region, Nanjing, 210094, Jiangsu, China.
  • Jianli Zhou
    Department of Nuclear Medicine, Dezhou People's Hospital, Dezhou, China.
  • Hongwei Liu
    Hawkesbury Institute for the Environment, Western Sydney University, Penrith, NSW, Australia.
  • Xin Li
    Veterinary Diagnostic Center, Shanghai Animal Disease Control Center, Shanghai, China.

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