Abstract

Ninety-minute dynamic 18F-DPA-714 PET scans with full arterial sampling from 6 healthy subjects and 9 Alzheimer disease (AD) patients were used. Plasma-input-based Logan graphical analysis and spectral analysis were used to generate parametric volume of distribution (VT) images. Five versions of Ichise, reference Logan, and 2 basis function implementations (receptor parametric mapping and simplified reference tissue model 2 [SRTM2]) of SRTM, all using gray matter cerebellum as the reference region, were applied to generate nondisplaceable binding potential (BPND) images. Plasma-input Logan analysis (r2 = 0.99; slope, 0.88) and spectral analysis (r2 = 0.99, slope, 0.93) generated estimates of VT that correlated well with values obtained using nonlinear regression. BPND values generated using SRTM2 (r2 = 0.83; slope, 0.95) and reference Logan analysis (r2 = 0.88; slope, 1.01) correlated well with nonlinear regression-based estimates. Both Logan analysis and spectral analysis can be used to obtain quantitatively accurate VT images of 18F-DPA-714. In addition, SRTM2 and reference Logan analysis can provide accurate BPND images. These parametric images could be used for voxel-based comparisons.

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