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| Hauptseite > Publikationsdatenbank > NIMG-82. PREDICTING ISOCITRATE DEHYDROGENASE GENOTYPE IN GLIOMAS USING FET PET RADIOMICS |
| Hauptseite > Publikationsdatenbank > NIMG-82. PREDICTING ISOCITRATE DEHYDROGENASE GENOTYPE IN GLIOMAS USING FET PET RADIOMICS |
| Communication | FZJ-2022-02447 |
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2017
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Please use a persistent id in citations: doi:10.1093/neuonc/nox168.652
Abstract: AbstractBACKGROUNDWe investigated the potential of O-(2-[18F]fluoroethyl)-L-tyrosine (FET) PET textural features compared with static and dynamic FET PET parameters for preoperative differentiation of IDH-mutated (mut) from IDH-wild type (wt) gliomas.METHODSEighty-four glioma patients underwent dynamic FET PET imaging prior to histological confirmation on a stand-alone PET scanner (56 patients; 31 GBM-wt, 3 GBM-mut, 10 AA-wt, 7 AA-mut, 2 AII-mut, 3 ODGII-mut) or a high-resolution hybrid PET/MR scanner (28 patients; 15 GBM-wt, 2 GBM-mut, 1 AA-wt, 7 AA-mut, 1 ODGIII-mut, 1 AII-wt, 1 AII-mut). The IDH genotype was assessed by immunohistochemistry or direct sequencing (if immunohistochemistry was negative). Maximum and mean tumor-to-brain ratios (TBRmax/mean) of FET uptake were determined and time-activity curves of FET uptake were used to evaluate the dynamic PET parameters time-to-peak (TTP) and slope (slope of linear regression line evaluated 20-50 min post-injection). Additionally, 39 textural parameters were calculated using the software LifeX. The diagnostic accuracy for IDH genotype prediction by FET PET was evaluated using ROC analyses using neuropathological results of IDH analysis as reference. In order to further increase the diagnostic accuracy, parameters were combined using linear logistic regression. Data of each scanner type were analyzed separately.RESULTSIndependent of scanner type, diagnostic accuracies of slope, TBRmean and TBRmax were similar (range, 75-80%). Ten textural features showed an accuracy ranging from 71-79% independent of scanner type. For both PET scanners the combined analysis increased the diagnostic accuracy (84% and 93%, respectively).CONCLUSIONSThe combination of static and dynamic FET PET parameters with radiomics derived from textural feature analysis leads to a high diagnostic accuracy to predict IDH genotype of cerebral gliomas.
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