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The Patlak graphical analysis (PGA REF ) for quantification of irreversible tracer binding with a reference tissue model was approximated by a dual time point imaging approach (DTP REF ). The DTP REF was applied to 18 [ 18 F]-FDOPA brain scans using the occipital cortex as reference region (DTP OCC ) and compared to both PGA OCC and striatal-to-occipital ratios (SOR). Pearson correlation analysis and Bland-Altman plots showed an excellent correlation and good agreement between DTP OCC and PGA OCC , while correlations between SOR and PGA OCC were 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 [ 18 F]-FDOPA brain imaging, these findings validate DTP OCC as an approximation for PGA OCC , 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, DTP REF can improve the clinical applicability of tracers with irreversible binding characteristics when a reference tissue is available.

Dual time point method for the quantification of irreversible tracer kinetics: A reference tissue approach applied to [18F]-FDOPA brain PET

Dual time point method for the quantification of irreversible tracer kinetics: A reference tissue approach applied to [¹⁸F]-FDOPA brain PET