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J Cereb Blood Flow Metab. 2014 Nov;34(11):1818-25. doi: 10.1038/jcbfm.2014.150. Epub 2014 Sep 3.

Kinetic modeling of (11)C-LY2795050, a novel antagonist radiotracer for PET imaging of the kappa opioid receptor in humans.

Author information

1
Department of Diagnostic Radiology, PET Center, Yale University School of Medicine, New Haven, Connecticut, USA.
2
Eli Lilly and Company, Indianapolis, Indiana, USA.
3
Department of Psychiatry and Radiology, New York University School of Medicine, New York, New York, USA.

Abstract

(11)C-LY2795050 is a novel kappa opioid receptor (KOR) antagonist tracer for positron emission tomography (PET) imaging. The purpose of this first-in-human study was to determine the optimal kinetic model for analysis of (11)C-LY2795050 imaging data. Sixteen subjects underwent baseline scans and blocking scans after oral naltrexone. Compartmental modeling and multilinear analysis-1 (MA1) were applied using the arterial input functions. Two-tissue compartment model and MA1 were found to be the best models to provide reliable measures of binding parameters. The rank order of (11)C-LY2795050 distribution volume (VT) matched the known regional KOR densities in the human brain. Blocking scans with naltrexone indicated no ideal reference region for (11)C-LY2795050. Three methods for calculation of the nondisplaceable distribution volume (VND) were assessed: (1) individual VND estimated from naltrexone occupancy plots, (2) mean VND across subjects, and (3) a fixed fraction of cerebellum VT. Approach (3) produced the lowest intersubject variability in the calculation of binding potentials (BPND, BPF, and BPP). Therefore, binding potentials of (11)C-LY2795050 can be determined if the specific binding fraction in the cerebellum is presumed to be unchanged by diseases and experimental conditions. In conclusion, results from the present study show the suitability of (11)C-LY2795050 to image and quantify KOR in humans.

PMID:
25182664
PMCID:
PMC4269759
DOI:
10.1038/jcbfm.2014.150
[Indexed for MEDLINE]
Free PMC Article

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