Journal Article FZJ-2017-06078

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Comparison of $^{18}$F-FET PET and perfusion-weighted MRI for glioma grading: a hybrid PET/MR study

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2017
Springer-Verl. Heidelberg [u.a.]

European journal of nuclear medicine and molecular imaging 44(13), 2257–2265 () [10.1007/s00259-017-3812-3]

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Abstract: PurposeBoth perfusion-weighted MR imaging (PWI) and O-(2-18F-fluoroethyl)-L-tyrosine PET (18F–FET) provide grading information in cerebral gliomas. The aim of this study was to compare the diagnostic value of 18F–FET PET and PWI for tumor grading in a series of patients with newly diagnosed, untreated gliomas using an integrated PET/MR scanner.MethodsSeventy-two patients with untreated gliomas [22 low-grade gliomas (LGG), and 50 high-grade gliomas (HGG)] were investigated with 18F–FET PET and PWI using a hybrid PET/MR scanner. After visual inspection of PET and PWI maps (rCBV, rCBF, MTT), volumes of interest (VOIs) with a diameter of 16 mm were centered upon the maximum of abnormality in the tumor area in each modality and the contralateral unaffected hemisphere. Mean and maximum tumor-to-brain ratios (TBRmean, TBRmax) were calculated. In addition, Time-to-Peak (TTP) and slopes of time–activity curves were calculated for 18F–FET PET. Diagnostic accuracies of 18F–FET PET and PWI for differentiating low-grade glioma (LGG) from high-grade glioma (HGG) were evaluated by receiver operating characteristic analyses (area under the curve; AUC).ResultsThe diagnostic accuracy of 18F–FET PET and PWI to discriminate LGG from HGG was similar with highest AUC values for TBRmean and TBRmax of 18F–FET PET uptake (0.80, 0.83) and for TBRmean and TBRmax of rCBV (0.80, 0.81). In case of increased signal in the tumor area with both methods (n = 32), local hot-spots were incongruent in 25 patients (78%) with a mean distance of 10.6 ± 9.5 mm. Dynamic FET PET and combination of different parameters did not further improve diagnostic accuracy.ConclusionsBoth 18F–FET PET and PWI discriminate LGG from HGG with similar diagnostic performance. Regional abnormalities in the tumor area are usually not congruent indicating that tumor grading by 18F–FET PET and PWI is based on different pathophysiological phenomena.

Classification:

Contributing Institute(s):
  1. Kognitive Neurowissenschaften (INM-3)
  2. Physik der Medizinischen Bildgebung (INM-4)
Research Program(s):
  1. 572 - (Dys-)function and Plasticity (POF3-572) (POF3-572)

Appears in the scientific report 2017
Database coverage:
Medline ; Current Contents - Clinical Medicine ; Current Contents - Life Sciences ; Ebsco Academic Search ; IF >= 5 ; JCR ; NCBI Molecular Biology Database ; SCOPUS ; Science Citation Index ; Science Citation Index Expanded ; Thomson Reuters Master Journal List ; Web of Science Core Collection
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Dokumenttypen > Aufsätze > Zeitschriftenaufsätze
Institutssammlungen > INM > INM-3
Institutssammlungen > INM > INM-4
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