Dual time point method for the quantification of irreversible tracer kinetics: A reference tissue approach applied to [18F]-FDOPA brain PET.
The Patlak graphical analysis (PGAREF) for quantification of irreversible tracer binding with a reference tissue model was approximated by a dual time point imaging approach (DTPREF). The DTPREFwas applied to 18 [18F]-FDOPA brain scans using the occipital cortex as reference region (DTPOCC) and compared to both PGAOCCand striatal-to-occipital ratios (SOR). Pearson correlation analysis and Bland-Altman plots showed an excellent correlation and good agreement between DTPOCCand PGAOCC, while correlations between SOR and PGAOCCwere consistently lower. Linear discriminant analysis (LDA) demonstrated a similar performance for all methods in differentiating patients with Parkinson's disease (PD) from healthy controls (HC). Specifically for [18F]-FDOPA brain imaging, these findings validate DTPOCCas an approximation for PGAOCC, providing the same quantitative information while reducing the acquisition time to two short static scans. For PD patients, this approach can greatly improve patient comfort while reducing motion artifacts and increasing image quality. In general, DTPREFcan improve the clinical applicability of tracers with irreversible binding characteristics when a reference tissue is available.
1 Department of Nuclear Medicine and Molecular Imaging, University of Groningen, University Medical Center Groningen, The Netherlands.
I
I
Lopes Alves
2 Department of Neurology, University of Groningen, University Medical Center Groningen, the Netherlands.
Sanne K
SK
Meles
1 Department of Nuclear Medicine and Molecular Imaging, University of Groningen, University Medical Center Groningen, The Netherlands.
Antoon Tm
AT
Willemsen
1 Department of Nuclear Medicine and Molecular Imaging, University of Groningen, University Medical Center Groningen, The Netherlands.
Rudi A
RA
Dierckx
3 Laboratory of Medical Imaging, Pontifícia Universidade Católica do Rio Grande do Sul, Porto Alegre, Brazil.
Ana M
AM
Marques da Silva
2 Department of Neurology, University of Groningen, University Medical Center Groningen, the Netherlands.
Klaus L
KL
Leenders
4 Department of Nuclear Medicine and Molecular Imaging, KU Leuven, Leuven, Belgium.
Michel
M
Koole
D001921:Brain / Q000000981:diagnostic imaging* / Q000378:metabolism; D016022:Case-Control Studies; D002421:Caudate Nucleus / Q000000981:diagnostic imaging / Q000378:metabolism; D004295:Dihydroxyphenylalanine / Q000031:analogs & derivatives* / Q000097:blood / Q000378:metabolism; D016002:Discriminant Analysis; D005462:Fluorine Radioisotopes; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D016014:Linear Models; D008962:Models, Theoretical; D010300:Parkinson Disease / Q000000981:diagnostic imaging* / Q000378:metabolism; D049268:Positron-Emission Tomography / Q000379:methods*; D011699:Putamen / Q000000981:diagnostic imaging / Q000378:metabolism; D012016:Reference Values; D013997:Time Factors
D005462:Fluorine Radioisotopes; C043437:fluorodopa F 18; D004295:Dihydroxyphenylalanine
Dual time point imaging; Parkinson’s disease; Patlak graphical analysis; [18F]-FDOPA; positron emission tomography