18F-labeled N,N-diethyl-2-(2-[4-(2-fluoroethoxy)phenyl]-5,7-dimethylpyrazolo[1,5-α]pyrimidine-3-yl)acetamide (DPA-714) is a radioligand for the 18-kDa translocator protein. The purpose of the present study was to identify the best method for generating quantitative parametric images of 18F-DPA-714 binding. METHODS: 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. RESULTS: 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. CONCLUSION: 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.
18F-labeled N,N-diethyl-2-(2-[4-(2-fluoroethoxy)phenyl]-5,7-dimethylpyrazolo[1,5-α]pyrimidine-3-yl)acetamide (DPA-714) is a radioligand for the 18-kDa translocator protein. The purpose of the present study was to identify the best method for generating quantitative parametric images of 18F-DPA-714 binding. METHODS: 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. RESULTS: 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. CONCLUSION: 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.
Authors: Lingling Zhang; Kuan Hu; Tuo Shao; Lu Hou; Shaojuan Zhang; Weijian Ye; Lee Josephson; Jeffrey H Meyer; Ming-Rong Zhang; Neil Vasdev; Jinghao Wang; Hao Xu; Lu Wang; Steven H Liang Journal: Acta Pharm Sin B Date: 2020-08-25 Impact factor: 11.413
Authors: Bastian Zinnhardt; Maximilian Wiesmann; Lisa Honold; Cristina Barca; Michael Schäfers; Amanda J Kiliaan; Andreas H Jacobs Journal: Theranostics Date: 2018-04-03 Impact factor: 11.556
Authors: Stergios Tsartsalis; Benjamin B Tournier; Christophe E Graf; Nathalie Ginovart; Vicente Ibáñez; Philippe Millet Journal: PLoS One Date: 2018-09-05 Impact factor: 3.240
Authors: Bart Marius de Vries; Sandeep S V Golla; Jarith Ebenau; Sander C J Verfaillie; Tessa Timmers; Fiona Heeman; Matthijs C F Cysouw; Bart N M van Berckel; Wiesje M van der Flier; Maqsood Yaqub; Ronald Boellaard Journal: Eur J Nucl Med Mol Imaging Date: 2020-09-02 Impact factor: 9.236