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| Home > Publications database > Integrated analysis of dynamic FET PET/CT parameters, histology, and methylation profiling of 44 gliomas. > print |
| 001 | 136793 | ||
| 005 | 20240229105059.0 | ||
| 024 | 7 | _ | |a 10.1007/s00259-018-4009-0 |2 doi |
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| 100 | 1 | _ | |a Röhrich, Manuel |0 0000-0001-7609-243X |b 0 |
| 245 | _ | _ | |a Integrated analysis of dynamic FET PET/CT parameters, histology, and methylation profiling of 44 gliomas. |
| 260 | _ | _ | |a Heidelberg [u.a.] |c 2018 |b Springer-Verl. |
| 336 | 7 | _ | |a article |2 DRIVER |
| 336 | 7 | _ | |a Output Types/Journal article |2 DataCite |
| 336 | 7 | _ | |a Journal Article |b journal |m journal |0 PUB:(DE-HGF)16 |s 1536239611_3642 |2 PUB:(DE-HGF) |
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| 336 | 7 | _ | |a Journal Article |0 0 |2 EndNote |
| 520 | _ | _ | |a Dynamic 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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| 700 | 1 | _ | |a Huang, Kristin |b 1 |
| 700 | 1 | _ | |a Schrimpf, Daniel |b 2 |
| 700 | 1 | _ | |a Albert, Nathalie L |b 3 |
| 700 | 1 | _ | |a Hielscher, Thomas |0 P:(DE-He78)743a4a82daab55306a2c88b9f6bf8c2f |b 4 |u dkfz |
| 700 | 1 | _ | |a von Deimling, Andreas |b 5 |
| 700 | 1 | _ | |a Schüller, Ulrich |b 6 |
| 700 | 1 | _ | |a Dimitrakopoulou-Strauss, Antonia |0 P:(DE-He78)b2df3652dfa3e19d5e96dfc53f44a992 |b 7 |u dkfz |
| 700 | 1 | _ | |a Haberkorn, Uwe |0 P:(DE-He78)13a0afba029f5f64dc18b25ef7499558 |b 8 |e Last author |u dkfz |
| 773 | _ | _ | |a 10.1007/s00259-018-4009-0 |g Vol. 45, no. 9, p. 1573 - 1584 |0 PERI:(DE-600)2098375-X |n 9 |p 1573 - 1584 |t European journal of nuclear medicine and molecular imaging |v 45 |y 2018 |x 1619-7089 |
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