% IMPORTANT: The following is UTF-8 encoded. This means that in the presence
% of non-ASCII characters, it will not work with BibTeX 0.99 or older.
% Instead, you should use an up-to-date BibTeX implementation like “bibtex8” or
% “biber”.
@ARTICLE{Choi:878145,
author = {Choi, Chang-Hoon and Stegmayr, Carina and Shymanskaya,
Aliaksandra and Worthoff, Wieland A. and da Silva, Nuno A.
and Felder, Jörg and Langen, Karl-Josef and Shah, N. J.},
title = {{A}n in vivo multimodal feasibility study in a rat brain
tumour model using flexible multinuclear {MR} and {PET}
systems},
journal = {EJNMMI Physics},
volume = {7},
number = {1},
issn = {2197-7364},
address = {Heidelberg},
publisher = {Springer Open},
reportid = {FZJ-2020-02658},
pages = {50},
year = {2020},
abstract = {BackgroundIn addition to the structural information
afforded by 1H MRI, the use of X-nuclei, such as sodium-23
(23Na) or phosphorus-31 (31P), offers important
complementary information concerning physiological and
biochemical parameters. By then combining this technique
with PET, which provides valuable insight into a wide range
of metabolic and molecular processes by using of a variety
of radioactive tracers, the scope of medical imaging and
diagnostics can be significantly increased. While the use of
multimodal imaging is undoubtedly advantageous, identifying
the optimal combination of these parameters to diagnose a
specific dysfunction is very important and is advanced by
the use of sophisticated imaging techniques in specific
animal models.MethodsIn this pilot study, rats with
intracerebral 9L gliosarcomas were used to explore a
combination of sequential multinuclear MRI using a
sophisticated switchable coil set in a small animal 9.4 T
MRI scanner and, subsequently, a small animal PET with the
tumour tracer O-(2-[18F]-fluoroethyl)-L-tyrosine ([18F]FET).
This made it possible for in vivo multinuclear MR-PET
experiments to be conducted without compromising the
performance of either multinuclear MR or
PET.ResultsHigh-quality in vivo images and spectra including
high-resolution 1H imaging, 23Na-weighted imaging, detection
of 31P metabolites and [18F]FET uptake were obtained,
allowing the characterisation of tumour tissues in
comparison to a healthy brain. It has been reported in the
literature that these parameters are useful in the
identification of the genetic profile of gliomas,
particularly concerning the mutation of the isocitrate
hydrogenase gene, which is highly relevant for treatment
strategy.ConclusionsThe combination of multinuclear MR and
PET in, for example, brain tumour models with specific
genetic mutations will enable the physiological background
of signal alterations to be explored and the identification
of the optimal combination of imaging parameters for the
non-invasive characterisation of the molecular profile of
tumours.},
cin = {INM-4 / INM-11 / JARA-BRAIN},
ddc = {610},
cid = {I:(DE-Juel1)INM-4-20090406 / I:(DE-Juel1)INM-11-20170113 /
I:(DE-Juel1)VDB1046},
pnm = {573 - Neuroimaging (POF3-573)},
pid = {G:(DE-HGF)POF3-573},
typ = {PUB:(DE-HGF)16},
pubmed = {pmid:32728773},
UT = {WOS:000554694600001},
doi = {10.1186/s40658-020-00319-6},
url = {https://juser.fz-juelich.de/record/878145},
}