Estimation of the net influx rate Ki and the cerebral metabolic rate of glucose MRglc using a single static [18F]FDG PET scan in rats
| Autor: | Jeroen Verhaeghe, Steven Deleye, Alan Miranda, Sigrid Stroobants, Steven Staelens, Daniele Bertoglio |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
FDG
Cognitive Neuroscience Dynamic imaging Cerebral metabolic rate Neurosciences. Biological psychiatry. Neuropsychiatry Body weight 050105 experimental psychology 18f fdg pet 03 medical and health sciences 0302 clinical medicine medicine 0501 psychology and cognitive sciences Arterial input function medicine.diagnostic_test Chemistry business.industry 05 social sciences Area under the curve Brain Arterial blood sampling Glucose PET Neurology Positron emission tomography Rat Nuclear medicine business 030217 neurology & neurosurgery RC321-571 |
| Zdroj: | NeuroImage, Vol 233, Iss, Pp 117961-(2021) |
| ISSN: | 1095-9572 |
| Popis: | Since accurate quantification of 2-deoxy-2–18F-fluoro-D-glucose ([18F]FDG) positron emission tomography (PET) requires dynamic acquisition with arterial input function, more practical semi-quantitative (static) approaches are often preferred. However, static standardized uptake values (SUV) are typically biased due to large variations in body weight (BW) occurring over time in animal studies. This study aims to improve static [18F]FDG PET SUV quantification by better accounting for BW variations in rats. We performed dynamic [18F]FDG PET imaging with arterial blood sampling in rats (n = 27) with different BW (range 0.230–0.487 kg). By regressing the area under the curve of the input function divided by injected activity against BW (r2=0.697), we determined a conversion factor f(BW) to be multiplied with SUV and SUVglc to obtain ratSUV and ratSUVglc, providing an improved estimate of the net influx rate Ki (r = 0.758, p |
| Databáze: | OpenAIRE |
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