% 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{Verger:844606, author = {Verger, Antoine and Filss, Christian and Lohmann, Philipp and Stoffels, Gabriele and Sabel, Michael and Wittsack, Hans-J. and Rota Kops, Elena and Galldiks, Norbert and Fink, Gereon R. and Shah, Nadim J. and Langen, Karl-Josef}, title = {{C}omparison of {O}-(2-18{F}-{F}luoroethyl)-{L}-{T}yrosine {P}ositron {E}mission {T}omography and {P}erfusion-{W}eighted {M}agnetic {R}esonance {I}maging in the {D}iagnosis of {P}atients with {P}rogressive and {R}ecurrent {G}lioma: {A} {H}ybrid {P}ositron {E}mission {T}omography/{M}agnetic {R}esonance {S}tudy}, journal = {World neurosurgery}, volume = {113}, issn = {1878-8750}, address = {Amsterdam}, publisher = {Elsevier}, reportid = {FZJ-2018-02010}, pages = {e727-e737}, year = {2018}, abstract = {ObjectiveTo compare the diagnostic performance of O-(2-18F-fluoroethyl)-L-tyrosine (18F-FET) positron emission tomography (PET) and perfusion-weighted magnetic resonance imaging (PWI) for the diagnosis of progressive or recurrent glioma.MethodsThirty-two pretreated gliomas (25 progressive or recurrent tumors, 7 treatment-related changes) were investigated with 18F-FET PET and PWI via a hybrid PET/magnetic resonance scanner. Volumes of interest with a diameter of 16 mm were centered on the maximum of abnormality in the tumor area in PET and PWI maps (relative cerebral blood volume, relative cerebral blood flow, mean transit time) and the contralateral unaffected hemisphere. Mean and maximum tumor-to-brain ratios as well as dynamic data for 18F-FET uptake were calculated. Diagnostic accuracies were evaluated by receiver operating characteristic analyses, calculating the area under the curve.Results18F-FET PET showed a significant greater sensitivity to detect abnormalities in pretreated gliomas than PWI $(76\%$ vs. $52\%,$ P = 0.03). The maximum tumor-to-brain ratio of 18F-FET PET was the only parameter that discriminated treatment-related changes from progressive or recurrent gliomas (area under the curve, 0.78; P = 0.03, best cut-off 2.61; sensitivity $80\%,$ specificity $86\%,$ accuracy $81\%).$ Among patients with signal abnormality in both modalities, $75\%$ revealed spatially incongruent local hot spots.ConclusionsThis pilot study suggests that 18F-FET PET is superior to PWI to diagnose progressive or recurrent glioma.}, cin = {INM-3 / INM-4}, ddc = {610}, cid = {I:(DE-Juel1)INM-3-20090406 / I:(DE-Juel1)INM-4-20090406}, pnm = {572 - (Dys-)function and Plasticity (POF3-572)}, pid = {G:(DE-HGF)POF3-572}, typ = {PUB:(DE-HGF)16}, pubmed = {pmid:29510293}, UT = {WOS:000432942700088}, doi = {10.1016/j.wneu.2018.02.139}, url = {https://juser.fz-juelich.de/record/844606}, }