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Validation of a combined image derived input function and venous sampling approach for the quantification of [18F]GE-179 PET binding in the brain
- Source :
- NeuroImage, Vol 237, Iss, Pp 118194-(2021)
- Publication Year :
- 2021
- Publisher :
- Elsevier, 2021.
-
Abstract
- Blood-based kinetic analysis of PET data relies on an accurate estimate of the arterial plasma input function (PIF). An alternative to invasive measurements from arterial sampling is an image-derived input function (IDIF). However, an IDIF provides the whole blood radioactivity concentration, rather than the required free tracer radioactivity concentration in plasma. To estimate the tracer PIF, we corrected an IDIF from the carotid artery with estimates of plasma parent fraction (PF) and plasma-to-whole blood (PWB) ratio obtained from five venous samples. We compared the combined IDIF+venous approach to gold standard data from arterial sampling in 10 healthy volunteers undergoing [18F]GE-179 brain PET imaging of the NMDA receptor. Arterial and venous PF and PWB ratio estimates determined from 7 patients with traumatic brain injury (TBI) were also compared to assess the potential effect of medication. There was high agreement between areas under the curves of the estimates of PF (r = 0.99, p
- Subjects :
- Adult
Male
Positron emission tomography
Cognitive Neuroscience
Kinetic analysis
Neuroimaging
Neurosciences. Biological psychiatry. Neuropsychiatry
Receptors, N-Methyl-D-Aspartate
050105 experimental psychology
Veins
03 medical and health sciences
0302 clinical medicine
Venous sampling
Brain Injuries, Traumatic
Medicine
Humans
0501 psychology and cognitive sciences
Whole blood
medicine.diagnostic_test
business.industry
Arterial plasma
05 social sciences
Input function
Reproducibility of Results
Gold standard (test)
Pet imaging
Middle Aged
NMDA receptor
Neurology
Positron-Emission Tomography
Female
Radiopharmaceuticals
business
Nuclear medicine
030217 neurology & neurosurgery
RC321-571
Subjects
Details
- Language :
- English
- ISSN :
- 10959572
- Volume :
- 237
- Database :
- OpenAIRE
- Journal :
- NeuroImage
- Accession number :
- edsair.doi.dedup.....a8f0757d3b3b3bba9fe80bdf8a313d44