• DocumentCode
    947123
  • Title

    Tracer kinetic modeling of 11C-acetate applied in the liver with positron emission tomography

  • Author

    Chen, Sirong ; Ho, Chilai ; Feng, Dagan ; Chi, Zheru

  • Author_Institution
    Dept. of Nucl. Med. & PET, Hong Kong Sanatorium & Hosp., China
  • Volume
    23
  • Issue
    4
  • fYear
    2004
  • fDate
    4/1/2004 12:00:00 AM
  • Firstpage
    426
  • Lastpage
    432
  • Abstract
    It is well known that 40%-50% of hepatocellular carcinoma (HCC) do not show increased 18F-fluorodeoxyglucose (FDG) uptake. Recent research studies have demonstrated that 11C-acetate may be a complementary tracer to FDG in positron emission tomography (PET) imaging of HCC in the liver. Quantitative dynamic modeling is, therefore, conducted to evaluate the kinetic characteristics of this tracer in HCC and nontumor liver tissue. A three-compartment model consisting of four parameters with dual inputs is proposed and compared with that of five parameters. Twelve regions of dynamic datasets of the liver extracted from six patients are used to test the models. Estimation of the adequacy of these models is based on Akaike Information Criteria (AIC) and Schwarz Criteria (SC) by statistical study. The forward clearance K=K1*k3/(k2+k3) is estimated and defined as a new parameter called the local hepatic metabolic rate-constant of acetate (LHMRAct) using both the weighted nonlinear least squares (NLS) and the linear Patlak methods. Preliminary results show that the LHMRAct of the HCC is significantly higher than that of the nontumor liver tissue. These model parameters provide quantitative evidence and understanding on the kinetic basis of 11C-acetate for its potential role in the imaging of HCC using PET.
  • Keywords
    cancer; liver; positron emission tomography; radioactive tracers; tumours; /sup 11/C-acetate; Akaike Information Criteria; Schwarz Criteria; hepatocellular carcinoma; linear Patlak methods; liver; local hepatic metabolic rate-constant; nontumor liver tissue; positron emission tomography; quantitative dynamic modeling; three-compartment model; tracer kinetic modeling; weighted nonlinear least squares; Biochemistry; Biomedical engineering; Biomedical signal processing; Electronic mail; Humans; Information technology; Kinetic theory; Liver; Nuclear electronics; Positron emission tomography; Acetates; Algorithms; Carbon; Carcinoma, Hepatocellular; Computer Simulation; Humans; Image Interpretation, Computer-Assisted; Liver; Liver Function Tests; Liver Neoplasms; Models, Biological; Radioisotope Dilution Technique; Radiopharmaceuticals; Reproducibility of Results; Sensitivity and Specificity; Tomography, Emission-Computed;
  • fLanguage
    English
  • Journal_Title
    Medical Imaging, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0278-0062
  • Type

    jour

  • DOI
    10.1109/TMI.2004.824229
  • Filename
    1281996