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Quantitation of Translocator Protein Binding in Human Brain with the Novel Radioligand [18F]-FEPPA and Positron Emission Tomography
- Source :
- Journal of Cerebral Blood Flow & Metabolism. 31:1807-1816
- Publication Year :
- 2011
- Publisher :
- SAGE Publications, 2011.
-
Abstract
- This article describes the kinetic modeling of [18F]-FEPPA binding to translocator protein 18 kDa in the human brain using high-resolution research tomograph (HRRT) positron emission tomography. Positron emission tomography scans were performed in 12 healthy volunteers for 180 minutes. A two-tissue compartment model (2-CM) provided, with no exception, better fits to the data than a one-tissue model. Estimates of total distribution volume ( VT), specific distribution volume ( VS), and binding potential ( BPND) demonstrated very good identifiability (based on coefficient of variation ( COV)) for all the regions of interest (ROIs) in the gray matter ( COV VT < 7%, COV VS < 8%, COV BPND < 11%). Reduction of the length of the scan to 2 hours is feasible as VS and VT showed only a small bias (6% and 7.5%, respectively). Monte Carlo simulations showed that, even under conditions of a 500% increase in specific binding, the identifiability of VT and VS was still very good with COVT values obtained from an unconstrained 2-CM with data from a 2-hour scan support the use of VT as an appropriate and feasible outcome measure for [18F]-FEPPA.
- Subjects :
- Adult
Male
Fluorine Radioisotopes
Pyridines
Coefficient of variation
Young Adult
Translocator protein
medicine
Radioligand
Humans
Anilides
Aged
biology
medicine.diagnostic_test
business.industry
Chemistry
Outcome measures
Brain
Binding potential
Human brain
Middle Aged
medicine.anatomical_structure
Neurology
Positron emission tomography
Positron-Emission Tomography
biology.protein
Original Article
Female
Neurology (clinical)
Tomography
Radiopharmaceuticals
Cardiology and Cardiovascular Medicine
Nuclear medicine
business
Protein Binding
Subjects
Details
- ISSN :
- 15597016 and 0271678X
- Volume :
- 31
- Database :
- OpenAIRE
- Journal :
- Journal of Cerebral Blood Flow & Metabolism
- Accession number :
- edsair.doi.dedup.....341ab6658c1da18a3bff37a3fc03d659