Trial reportNuclear medicine and biology2016
Compartmental modeling of [(11)C]MENET binding to the norepinephrine transporter in the healthy human brain.
Trial report in Nuclear medicine and biology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
6 citing papers in PubMed, 11 citations in OpenAlex.
- Levodopa responsive freezing of gait is associated with reduced norepinephrine transporter binding in Parkinson's disease.Neurobiology of disease · 2023Article
- PET imaging of noradrenaline transporters in Parkinson's disease: focus on scan time.Annals of nuclear medicine · 2019Article
- Anti-stress neuropharmacological mechanisms and targets for addiction treatment: A translational framework.Neurobiology of stress · 2018Review
- Noradrenergic Dysfunction in Alzheimer's and Parkinson's Diseases-An Overview of Imaging Studies.Frontiers in aging neuroscience · 2018Review
- Review
- PET Molecular Imaging Research of Levodopa-Induced Dyskinesias in Parkinson's Disease.Current neurology and neuroscience reports · 2017Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 1 institution in 1 country.
Funding
Abstract
introductionDysregulation of the noradrenergic system has been implicated in a number of neurological conditions such as Parkinson's and Alzheimer's. [(11)C]MENET is a novel PET radiotracer with high affinity and selectivity for the norepinephrine transporter. The applicability of different kinetic models on [(11)C]MENET PET image quantification in healthy population is evaluated.
methodsSix healthy volunteers (mean age: 54years) were recruited for the study, five of whom underwent arterial sampling for measurement of the input function. Ninety minute dynamic PET scans were obtained on a high resolution research tomograph with 15mCi of [(11)C]MENET injected at the scan start time. Regions of interest were delineated on the PET scan aided by the corresponding MRI image for anatomical guidance. Distribution volumes and their ratios (DVRs) with respect to the occipital reference tissue were calculated using the full arterial model (FAM), the simplified reference tissue model (SRTM) and the multilinear reference tissue model (MRTM2).
resultsAmong the FAMs, the single-tissue model was found to be statistically superior to the two-tissue model. [(11)C]MENET focal uptake was observed in the NET-rich regions of the brainstem and subcortical regions including the thalamus, locus cereleus and the raphe nuclei. Highest DVRs were observed in the locus cereleus (mean±standard deviation: 1.39±0.25) and red nucleus (1.35±0.25). DVRs of the thalamus were in good agreement between FAM (1.26±0.13), SRTM (1.23±0.15) and MRTM2 (1.21±0.14). Comparing the FAM to the SRTM and MRTM2, DVRs were underestimated in the thalamus by 3 and 4% on average, respectively.
conclusionThe single-tissue compartmental model was sufficient in describing the [(11)C]MENET kinetics in the healthy human brain. SRTM and MRTM2 present themselves as attractive options for estimating NET DVR using an occipital reference region.
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