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A methodological investigation of healthy tissue, hepatocellular carcinoma, and other lesions with dynamic 68Ga-FAPI-04 PET/CT imaging.

Barbara Katharina GeistHaiqun XingJingnan WangXimin ShiHaitao ZhaoMarcus HackerXinting SangLi HuoXiang Li
Published in: EJNMMI physics (2021)
Several model parameters derived from a two-tissue compartment kinetic model with two image-derived input function from vein and aorta and using SUVmax allow a differentiation between HCC and non-HCC lesions, obtained from dynamically performed PET scans using FAPI.
Keyphrases
  • pet ct
  • positron emission tomography
  • computed tomography
  • high resolution
  • deep learning
  • aortic valve
  • machine learning
  • pulmonary artery
  • magnetic resonance imaging
  • magnetic resonance
  • dual energy