• DocumentCode
    2841320
  • Title

    Comparison of simplified methods for quantitative analysis of [18F]FDDNP PET data

  • Author

    Wong, Koon-Pong ; Kepe, Vladimir ; Small, Gary W. ; Satyamurthy, Nagichettiar ; Barrio, Jorge R. ; Huang, Sung-Cheng

  • Author_Institution
    Univ. of California, Los Angeles
  • Volume
    4
  • fYear
    2007
  • fDate
    Oct. 26 2007-Nov. 3 2007
  • Firstpage
    3146
  • Lastpage
    3150
  • Abstract
    Positron emission tomography (PET) with 2-(1-{6- [(2-[18F]fluoroethyl)(methyl)amino]-2-naphthyl}ethylidene)malo-nonitrile ([18F]FDDNP) has been used for in vivo imaging of amyloid plaques and neurofibrillary tangles, the neuopathological hallmarks of Alzheimer´s disease (AD). The purpose of this study was to assess seven noninvasive methods for the estimation of the distribution volume ratio (DVR), as a measure of binding density of [18F]FDDNP in human brain, using a reference input (cerebellum). Imaging studies were performed on 20 AD and 13 normal control subjects. The image data were analyzed using two reference tissue modeling approaches with and without a physiological constraint on the efflux rate constant from reference tissue, Logan graphical analysis with and without a population efflux rate constant from reference tissue, and a simple concentration ratio between target and reference regions, to derive the DVR parameter. Highly linear correlations were observed among the DVR estimates except those by the tissue ratio approach which varied considerably. Reference tissue modeling approaches provided reliable estimation of DVR and gave further insight in the delivery of [18F]FDDNP to regions known to be affected by amyloid deposition. The efflux rate constant of cerebellum had minor effect on the DVR derived by Logan analysis. The [18F]FDDNP retention in subcortical white matter was similar between controls and ADs. Our results suggest that (1) Logan graphical analysis is the most robust method for quantitative analysis of [18F]FDDNP PET data without blood sampling, (2) reference tissue modeling approaches can provide further insight in helping to understand the transport properties of [18F]FDDNP and to aid model construction for kinetic analysis using the arterial input function, (3) efflux rate constant of the reference tissue can be derived with higher reliability by model fitting- with physiological constraint, and (4) white matter may potentially be used as a reference region for analyzing [18F]FDDNP PET data.
  • Keywords
    biochemistry; biological tissues; biomedical measurement; biotransport; blood vessels; brain; diseases; graph theory; neurophysiology; organic compounds; positron emission tomography; proteins; Alzheimer´s disease; Logan graphical analysis; [18F]FDDNP PET data analysis; amyloid deposition; arterial input function; compound binding energy; distribution volume ratio estimation; efflux rate constant; human brain; in vivo amyloid plaques imaging; kinetic analysis; neuopathological hallmarks; neurofibrillary tangles; normal control subjects; physiological constraints; population efflux rate constant; positron emission tomography; reference tissue modeling approach; subcortical white matter; transport properties; Alzheimer´s disease; Brain modeling; Data analysis; Density measurement; Humans; Image analysis; In vivo; Positron emission tomography; Robustness; Volume measurement; Alzheimer’s disease (AD); [18F]FDDNP; distribution volume ratio (DVR); kinetic analysis; parameter estimation; positron emission tomography (PET); reference tissue model;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Nuclear Science Symposium Conference Record, 2007. NSS '07. IEEE
  • Conference_Location
    Honolulu, HI
  • ISSN
    1095-7863
  • Print_ISBN
    978-1-4244-0922-8
  • Electronic_ISBN
    1095-7863
  • Type

    conf

  • DOI
    10.1109/NSSMIC.2007.4436795
  • Filename
    4436795