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@ARTICLE{Verger:838933,
author = {Verger, Antoine and Stegmayr, Carina and Galldiks, Norbert
and Van Der Gucht, Axel and Lohmann, Philipp and Stoffels,
Gabriele and Shah, Nadim J. and Fink, Gereon R. and Guedj,
Eric and Langen, Karl-Josef and Eickhoff, Simon},
title = {{E}valuation of factors influencing 18 {F}-{FET} uptake in
the brain},
journal = {NeuroImage: Clinical},
volume = {17},
issn = {2213-1582},
address = {[Amsterdam u.a.]},
publisher = {Elsevier},
reportid = {FZJ-2017-07436},
pages = {491–497},
year = {2018},
abstract = {PET using the amino-acid O-(2-18F-fluoroethyl)-l-tyrosine
(18F-FET) is gaining increasing interest for brain tumour
management. Semi-quantitative analysis of tracer uptake in
brain tumours is based on the standardized uptake value
(SUV) and the tumour-to-brain ratio (TBR). The aim of this
study was to explore physiological factors that might
influence the relationship of SUV of 18F-FET uptake in
various brain areas, and thus affect quantification of
18F-FET uptake in brain tumours. Negative 18F-FET PET scans
of 107 subjects, showing an inconspicuous brain distribution
of 18F-FET, were evaluated retrospectively. Whole-brain
quantitative analysis with Statistical Parametric Mapping
(SPM) using parametric SUV PET images, and volumes of
interest (VOIs) analysis with fronto-parietal, temporal,
occipital, and cerebellar SUV background areas were
performed to study the effect of age, gender, height,
weight, injected activity, body mass index (BMI), and body
surface area (BSA). After multivariate analysis, female
gender and high BMI were found to be two independent factors
associated with increased SUV of 18F-FET uptake in the
brain. In women, SUVmean of 18F-FET uptake in the brain was
$23\%$ higher than in men (p < 0.01). SUVmean of 18F-FET
uptake in the brain was positively correlated with BMI (r =
0.29; p < 0.01). The influence of these factors on SUV of
18F-FET was similar in all brain areas. In conclusion, SUV
of 18F-FET in the normal brain is influenced by gender and
weakly by BMI, but changes are similar in all brain areas.},
cin = {INM-4 / INM-3 / INM-7 / JARA-BRAIN},
ddc = {610},
cid = {I:(DE-Juel1)INM-4-20090406 / I:(DE-Juel1)INM-3-20090406 /
I:(DE-Juel1)INM-7-20090406 / $I:(DE-82)080010_20140620$},
pnm = {572 - (Dys-)function and Plasticity (POF3-572)},
pid = {G:(DE-HGF)POF3-572},
typ = {PUB:(DE-HGF)16},
pubmed = {pmid:29159062},
UT = {WOS:000426180300053},
doi = {10.1016/j.nicl.2017.11.005},
url = {https://juser.fz-juelich.de/record/838933},
}