000863073 001__ 863073
000863073 005__ 20210130001818.0
000863073 0247_ $$2doi$$a10.1007/s11307-019-01349-y
000863073 0247_ $$2ISSN$$a1536-1632
000863073 0247_ $$2ISSN$$a1860-2002
000863073 0247_ $$2altmetric$$aaltmetric:59134067
000863073 0247_ $$2pmid$$apmid:30989437
000863073 0247_ $$2WOS$$aWOS:000513265700026
000863073 0247_ $$2Handle$$a2128/25548
000863073 037__ $$aFZJ-2019-03190
000863073 082__ $$a570
000863073 1001_ $$0P:(DE-Juel1)167471$$aShymanskaya, Aliaksandra$$b0
000863073 245__ $$aComparison of [18F]Fluoroethyltyrosine PET and Sodium MRI in Cerebral Gliomas: a Pilot Study
000863073 260__ $$aAmsterdam [u.a.]$$bElsevier Science84323$$c2020
000863073 3367_ $$2DRIVER$$aarticle
000863073 3367_ $$2DataCite$$aOutput Types/Journal article
000863073 3367_ $$0PUB:(DE-HGF)16$$2PUB:(DE-HGF)$$aJournal Article$$bjournal$$mjournal$$s1599462453_14836
000863073 3367_ $$2BibTeX$$aARTICLE
000863073 3367_ $$2ORCID$$aJOURNAL_ARTICLE
000863073 3367_ $$00$$2EndNote$$aJournal Article
000863073 520__ $$aPurposePositron emission tomography (PET) using O-(2-[18F]fluoroethyl)-L-tyrosine ([18F]FET) improves the diagnostics of cerebral gliomas compared with conventional magnetic resonance imaging (MRI). Sodium MRI is an evolving method to assess tumor metabolism. In this pilot study, we explored the relationship of [18F]FET-PET and sodium MRI in patients with cerebral gliomas in relation to the mutational status of the enzyme isocitrate dehydrogenase (IDH).ProceduresTen patients with untreated cerebral gliomas and one patient with a recurrent glioblastoma (GBM) were investigated by dynamic [18F]FET-PET and sodium MRI using an enhanced simultaneous single-quantum- and triple-quantum-filtered imaging of 23Na (SISTINA) sequence to estimate total (NaT), weighted non-restricted (NaNR, mainly extracellular), and restricted (NaR, mainly intracellular) sodium in tumors and normal brain tissue. [18F]FET uptake and sodium parameters in tumors with a different IDH mutational status were compared. After biopsy or resection, histology and the IDH mutational status were determined neuropathologically.ResultsNaT (p = 0.05), tumor-to-brain ratios (TBR) of NaT (p = 0.02), NaNR (p = 0.003), and the ratio of NaT/NaR (p < 0.001) were significantly higher in IDH-mutated than in IDH-wild-type gliomas (n = 5 patients each) while NaR was significantly lower in IDH-mutated gliomas (p = 0.01). [18F]FET parameters (TBR, time-to-peak) were not predictive of IDH status in this small cohort of patients. There was no obvious relationship between sodium distribution and [18F]FET uptake. The patient with a recurrent GBM exhibited an additional radiation injury with strong abnormalities in sodium MRI.ConclusionsSodium MRI appears to be more strongly related to the IDH mutational status than are [18F]FET-PET parameters. A further evaluation of the combination of the two methods in a larger group of high- and low-grade gliomas seems promising.
000863073 536__ $$0G:(DE-HGF)POF3-573$$a573 - Neuroimaging (POF3-573)$$cPOF3-573$$fPOF III$$x0
000863073 588__ $$aDataset connected to CrossRef
000863073 7001_ $$0P:(DE-Juel1)156200$$aWorthoff, Wieland A.$$b1$$eCorresponding author
000863073 7001_ $$0P:(DE-Juel1)131627$$aStoffels, Gabriele$$b2
000863073 7001_ $$0P:(DE-Juel1)131657$$aLindemeyer, Johannes$$b3
000863073 7001_ $$0P:(DE-Juel1)166419$$aNeumaier, Bernd$$b4
000863073 7001_ $$0P:(DE-Juel1)145110$$aLohmann, Philipp$$b5
000863073 7001_ $$0P:(DE-Juel1)143792$$aGalldiks, Norbert$$b6
000863073 7001_ $$0P:(DE-Juel1)131777$$aLangen, Karl-Josef$$b7
000863073 7001_ $$0P:(DE-Juel1)131794$$aShah, N. J.$$b8
000863073 773__ $$0PERI:(DE-600)2079211-6$$a10.1007/s11307-019-01349-y$$n-$$p198–207$$tMolecular imaging & biology$$v22$$x1860-2002$$y-
000863073 8564_ $$uhttps://juser.fz-juelich.de/record/863073/files/Shymanskaya2020_Article_ComparisonOf%5B18F%5DFluoroethylty.pdf
000863073 8564_ $$uhttps://juser.fz-juelich.de/record/863073/files/Postprint.pdf$$yPublished on 2019-04-15. Available in OpenAccess from 2020-04-15.
000863073 909CO $$ooai:juser.fz-juelich.de:863073$$pdnbdelivery$$pdriver$$pVDB$$popen_access$$popenaire
000863073 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)167471$$aForschungszentrum Jülich$$b0$$kFZJ
000863073 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)156200$$aForschungszentrum Jülich$$b1$$kFZJ
000863073 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)131627$$aForschungszentrum Jülich$$b2$$kFZJ
000863073 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)131657$$aForschungszentrum Jülich$$b3$$kFZJ
000863073 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)166419$$aForschungszentrum Jülich$$b4$$kFZJ
000863073 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)145110$$aForschungszentrum Jülich$$b5$$kFZJ
000863073 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)143792$$aForschungszentrum Jülich$$b6$$kFZJ
000863073 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)131777$$aForschungszentrum Jülich$$b7$$kFZJ
000863073 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)131794$$aForschungszentrum Jülich$$b8$$kFZJ
000863073 9131_ $$0G:(DE-HGF)POF3-573$$1G:(DE-HGF)POF3-570$$2G:(DE-HGF)POF3-500$$3G:(DE-HGF)POF3$$4G:(DE-HGF)POF$$aDE-HGF$$bKey Technologies$$lDecoding the Human Brain$$vNeuroimaging$$x0
000863073 9141_ $$y2020
000863073 915__ $$0StatID:(DE-HGF)0200$$2StatID$$aDBCoverage$$bSCOPUS
000863073 915__ $$0StatID:(DE-HGF)0600$$2StatID$$aDBCoverage$$bEbsco Academic Search
000863073 915__ $$0StatID:(DE-HGF)0530$$2StatID$$aEmbargoed OpenAccess
000863073 915__ $$0StatID:(DE-HGF)0100$$2StatID$$aJCR$$bMOL IMAGING BIOL : 2017
000863073 915__ $$0StatID:(DE-HGF)0150$$2StatID$$aDBCoverage$$bWeb of Science Core Collection
000863073 915__ $$0StatID:(DE-HGF)0111$$2StatID$$aWoS$$bScience Citation Index Expanded
000863073 915__ $$0StatID:(DE-HGF)9900$$2StatID$$aIF < 5
000863073 915__ $$0StatID:(DE-HGF)0030$$2StatID$$aPeer Review$$bASC
000863073 915__ $$0StatID:(DE-HGF)0310$$2StatID$$aDBCoverage$$bNCBI Molecular Biology Database
000863073 915__ $$0StatID:(DE-HGF)0300$$2StatID$$aDBCoverage$$bMedline
000863073 915__ $$0StatID:(DE-HGF)1110$$2StatID$$aDBCoverage$$bCurrent Contents - Clinical Medicine
000863073 915__ $$0StatID:(DE-HGF)0199$$2StatID$$aDBCoverage$$bClarivate Analytics Master Journal List
000863073 920__ $$lyes
000863073 9201_ $$0I:(DE-Juel1)INM-4-20090406$$kINM-4$$lPhysik der Medizinischen Bildgebung$$x0
000863073 9201_ $$0I:(DE-Juel1)INM-11-20170113$$kINM-11$$lJara-Institut Quantum Information$$x1
000863073 9201_ $$0I:(DE-82)080010_20140620$$kJARA-BRAIN$$lJARA-BRAIN$$x2
000863073 9201_ $$0I:(DE-Juel1)INM-5-20090406$$kINM-5$$lNuklearchemie$$x3
000863073 980__ $$ajournal
000863073 980__ $$aVDB
000863073 980__ $$aUNRESTRICTED
000863073 980__ $$aI:(DE-Juel1)INM-4-20090406
000863073 980__ $$aI:(DE-Juel1)INM-11-20170113
000863073 980__ $$aI:(DE-82)080010_20140620
000863073 980__ $$aI:(DE-Juel1)INM-5-20090406
000863073 9801_ $$aFullTexts