Current status of PET imaging in neuro-oncology. Galldiks N, Lohmann P, Albert NL, Tonn JC, Langen K-J. ġ8F-FET PET Background activity Glioma Method standardisation PET imaging. The proposed semiautomated MI method minimises intra- and inter-reader variability, providing a valuable approach for standardisation of 18F-FET PET quantitative parameters. Intra- and inter-reader variability in background activity and BTV definition was assessed by means of coefficient of variation.Ĭompared to the gCS method, the MI method showed significantly lower intra- and inter-reader variability both in background activity and in BTV definition. To assess intra-reader variability, each scan was evaluated six times by each reader. The MI and gCS methods were tested by measuring values of background activity and resulting BTV of 18F-FET PET scans of ten patients with recurrent glioblastoma multiforme generated from inputs provided by seven readers. A new method for background activity definition, involving the semiautomated generation of mirror-image (MI) reference regions, was compared with the current state-of-the-art method, involving manually drawing crescent-shape (gCS) reference regions. This study aims to eliminate methodological errors in background activity definition through the introduction of a semiautomated method for region of interest selection. Currently, defining background activity involves the manual selection of an arbitrary region of interest, a process that is subject to large variability. Quantitative analysis of 18F-FET PET images requires a consistent and robust background activity. 18F-FET uptake normalised against background in the contralateral brain is a standard imaging technique to delineate the biological tumour volume (BTV). Multicentre clinical trials evaluating the role of 18F-Fluoroethyl-L-tyrosine ( 18F-FET) PET as a diagnostic biomarker in glioma management have highlighted a need for standardised methods of data analysis.
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