Browse

Multiple linear analysis methods for the quantification of irreversibly binding radiotracers

Cited 7 time in Web of Science Cited 7 time in Scopus
Authors
Kim, Su Jin; Lee, Jae Sung; Kim, Yu Kyeong; Frost, James; Wand, Gary; McCaul, Mary E; Lee, Dong Soo
Issue Date
2008-07-17
Publisher
Nature Publishing Group
Citation
J Cereb Blood Flow Metab. 28(12):1965-77
Keywords
Brain/radionuclide imagingComputer SimulationFluorine Radioisotopes/analysis/pharmacokineticsHumans*Linear ModelsMaleModels, TheoreticalPositron-Emission Tomography/*methods*Radioisotopes/analysis/pharmacokineticsYoung Adult
Abstract
Gjedde-Patlak graphical analysis (GPGA) has commonly been used to quantify the net accumulations (K(in)) of radioligands that bind or are taken up irreversibly. We suggest an alternative approach (MLAIR: multiple linear analysis for irreversible radiotracers) for the quantification of these types of tracers. Two multiple linear regression model equations were derived from differential equations of the two-tissue compartment model with irreversible binding. Multiple linear analysis for irreversible radiotracer 1 has a desirable feature for ordinary least square estimations because only the dependent variable C(T)(t) is noisy. Multiple linear analysis for irreversible radiotracer 2 provides K(in) from direct estimates of the coefficients of independent variables without the mediation of a division operation. During computer simulations, MLAIR1 provided less biased K(in) estimates than the other linear methods, but showed a high uncertainty level for noisy data, whereas MLAIR2 increased the robustness of estimation in terms of variability, but at the expense of increased bias. For real [(11)C]MeNTI positron emission tomography data, both methods showed good correlations, with parameters estimated using the standard nonlinear least squares method. Multiple linear analysis for irreversible radiotracer 2 parametric images showed remarkable image quality as compared with GPGA images. It also showed markedly improved statistical power for voxelwise comparisons than GPGA. The two MLAIR approaches examined were found to have several advantages over the conventional GPGA method.
ISSN
1559-7016 (Electronic)
Language
English
URI
http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&dopt=Citation&list_uids=18628777

http://www.nature.com/jcbfm/journal/v28/n12/pdf/jcbfm200884a.pdf

http://hdl.handle.net/10371/67774
DOI
https://doi.org/10.1038/jcbfm.2008.84
Files in This Item:
There are no files associated with this item.
Appears in Collections:
College of Medicine/School of Medicine (의과대학/대학원)Nuclear Medicine (핵의학전공)Journal Papers (저널논문_핵의학전공)
  • mendeley

Items in S-Space are protected by copyright, with all rights reserved, unless otherwise indicated.

Browse