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Parametric Binding Images of the TSPO Ligand 18F-DPA-714.
Vise andre og tillknytning
2016 (engelsk)Inngår i: Journal of Nuclear Medicine, ISSN 0161-5505, E-ISSN 1535-5667, Vol. 57, nr 10, s. 1543-1547Artikkel i tidsskrift (Fagfellevurdert) Published
Abstract [en]

(18)F-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 (18)F-DPA-714 binding.

METHODS: Ninety-minute dynamic (18)F-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 (r(2) = 0.99; slope, 0.88) and spectral analysis (r(2) = 0.99, slope, 0.93) generated estimates of VT that correlated well with values obtained using nonlinear regression. BPND values generated using SRTM2 (r(2) = 0.83; slope, 0.95) and reference Logan analysis (r(2) = 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 (18)F-DPA-714. In addition, SRTM2 and reference Logan analysis can provide accurate BPND images. These parametric images could be used for voxel-based comparisons.

sted, utgiver, år, opplag, sider
2016. Vol. 57, nr 10, s. 1543-1547
Emneord [en]
18F-DPA-714, PET, TSPO, parametric images
HSV kategori
Identifikatorer
URN: urn:nbn:se:uu:diva-317727DOI: 10.2967/jnumed.116.173013PubMedID: 27261521OAI: oai:DiVA.org:uu-317727DiVA, id: diva2:1082571
Tilgjengelig fra: 2017-03-17 Laget: 2017-03-17 Sist oppdatert: 2017-11-29

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