Direct comparison of [11C] choline and [18F] FET PET to detect glioma infiltration: a diagnostic accuracy study in eight patients

Abstract Background Positron emission tomography (PET) is increasingly used to guide local treatment in glioma. The purpose of this study was a direct comparison of two potential tracers for detecting glioma infiltration, O-(2-[18F]-fluoroethyl)-l-tyrosine ([18F] FET) and [11C] choline. Methods Eight consecutive patients with newly diagnosed diffuse glioma underwent dynamic [11C] choline and [18F] FET PET scans. Preceding craniotomy, multiple stereotactic biopsies were obtained from regions inside and outside PET abnormalities. Biopsies were assessed independently for tumour presence by two neuropathologists. Imaging measurements were derived at the biopsy locations from 10 to 40 min [11C] choline and 20–40, 40–60 and 60–90 min [18F] FET intervals, as standardized uptake value (SUV) and tumour-to-brain ratio (TBR). Diagnostic accuracies of both tracers were compared using receiver operating characteristic analysis and generalized linear mixed modelling with consensus histopathological assessment as reference. Results Of the 74 biopsies, 54 (73%) contained tumour. [11C] choline SUV and [18F] FET SUV and TBR at all intervals were higher in tumour than in normal samples. For [18F] FET, the diagnostic accuracy of TBR was higher than that of SUV for intervals 40–60 min (area under the curve: 0.88 versus 0.81, p = 0.026) and 60–90 min (0.90 versus 0.81, p = 0.047). The diagnostic accuracy of [18F] FET TBR 60–90 min was higher than that of [11C] choline SUV 20–40 min (0.87 versus 0.67, p = 0.005). Conclusions [18F] FET was more accurate than [11C] choline for detecting glioma infiltration. Highest accuracy was found for [18F] FET TBR for the interval 60–90 min post-injection.

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PID https://www.doi.org/10.6084/m9.figshare.c.4560350
PID https://www.doi.org/10.1186/s13550-019-0523-8
PID https://www.doi.org/10.6084/m9.figshare.c.4560350.v1
URL https://dx.doi.org/10.6084/m9.figshare.c.4560350.v1
URL https://dx.doi.org/10.6084/m9.figshare.c.4560350
URL https://dx.doi.org/10.1186/s13550-019-0523-8
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Author Verburg, Niels
Author Koopman, Thomas
Author Yaqub, Maqsood
Author Hoekstra, Otto
Author Lammertsma, Adriaan
Author Schwarte, Lothar
Author Barkhof, Frederik
Author Pouwels, Petra
Author Heimans, Jan
Author Reijneveld, Jaap
Author Rozemuller, Annemieke
Author Vandertop, William
Author Wesseling, Pieter
Author Boellaard, Ronald
Author Hamer, Philip Witt
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Publication Date 2019-06-29
Publisher Figshare
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keyword FOS: Biological sciences
system:type dataset
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Source https://science-innovation-policy.openaire.eu/search/dataset?datasetId=dedup_wf_001::da857f1ca5342f0b9d03433f255b85e7
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Last Updated 14 January 2021, 14:53 (CET)
Created 14 January 2021, 14:53 (CET)