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000136793 0247_ $$2doi$$a10.1007/s00259-018-4009-0
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000136793 0247_ $$2ISSN$$a0340-6997
000136793 0247_ $$2ISSN$$a1432-105X
000136793 0247_ $$2ISSN$$a1619-7070
000136793 0247_ $$2ISSN$$a1619-7089
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000136793 041__ $$aeng
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000136793 1001_ $$00000-0001-7609-243X$$aRöhrich, Manuel$$b0
000136793 245__ $$aIntegrated analysis of dynamic FET PET/CT parameters, histology, and methylation profiling of 44 gliomas.
000136793 260__ $$aHeidelberg [u.a.]$$bSpringer-Verl.$$c2018
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000136793 520__ $$aDynamic 18F-FET PET/CT is a powerful tool for the diagnosis of gliomas.18F-FET PET time-activity curves (TAC) allow differentiation between histological low-grade gliomas (LGG) and high-grade gliomas (HGG). Molecular methods such as epigenetic profiling are of rising importance for glioma grading and subclassification. Here, we analysed dynamic 18F-FET PET data, and the histological and epigenetic features of 44 gliomas.Dynamic 18F-FET PET was performed in 44 patients with newly diagnosed, untreated glioma: 10 WHO grade II glioma, 13 WHO grade III glioma and 21 glioblastoma (GBM). All patients underwent stereotactic biopsy or tumour resection after 18F-FET PET imaging. As well as histological analysis of tissue samples, DNA was subjected to epigenetic analysis using the Illumina 850 K methylation array. TACs, standardized uptake values corrected for background uptake in healthy tissue (SUVmax/BG), time to peak (TTP) and kinetic modelling parameters were correlated with histological diagnoses and with epigenetic signatures. Multivariate analyses were performed to evaluate the diagnostic accuracy of 18F-FET PET in relation to the tumour groups identified by histological and methylation-based analysis.Epigenetic profiling led to substantial tumour reclassification, with six grade II/III gliomas reclassified as GBM. Overlap of HGG-typical TACs and LGG-typical TACs was dramatically reduced when tumours were clustered on the basis of their methylation profile. SUVmax/BG values of GBM were higher than those of LGGs following both histological diagnosis and methylation-based diagnosis. The differences in TTP between GBMs and grade II/III gliomas were greater following methylation-based diagnosis than following histological diagnosis. Kinetic modeling showed that relative K1 and fractal dimension (FD) values significantly differed in histology- and methylation-based GBM and grade II/III glioma between those diagnosed histologically and those diagnosed by methylation analysis. Multivariate analysis revealed slightly greater diagnostic accuracy with methylation-based diagnosis. IDH-mutant gliomas and GBM subgroups tended to differ in their 18F-FET PET kinetics.The status of dynamic 18F-FET PET as a biologically and clinically relevant imaging modality is confirmed in the context of molecular glioma diagnosis.
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000136793 7001_ $$aHuang, Kristin$$b1
000136793 7001_ $$aSchrimpf, Daniel$$b2
000136793 7001_ $$aAlbert, Nathalie L$$b3
000136793 7001_ $$0P:(DE-He78)743a4a82daab55306a2c88b9f6bf8c2f$$aHielscher, Thomas$$b4$$udkfz
000136793 7001_ $$avon Deimling, Andreas$$b5
000136793 7001_ $$aSchüller, Ulrich$$b6
000136793 7001_ $$0P:(DE-He78)b2df3652dfa3e19d5e96dfc53f44a992$$aDimitrakopoulou-Strauss, Antonia$$b7$$udkfz
000136793 7001_ $$0P:(DE-He78)13a0afba029f5f64dc18b25ef7499558$$aHaberkorn, Uwe$$b8$$eLast author$$udkfz
000136793 773__ $$0PERI:(DE-600)2098375-X$$a10.1007/s00259-018-4009-0$$gVol. 45, no. 9, p. 1573 - 1584$$n9$$p1573 - 1584$$tEuropean journal of nuclear medicine and molecular imaging$$v45$$x1619-7089$$y2018
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