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A novel semiautomated method for background activity and biological tumour volume definition to improve standardisation of (18)F-FET PET imaging in glioblastoma

BACKGROUND: Multicentre clinical trials evaluating the role of (18)F-Fluoroethyl-l-tyrosine ((18)F-FET) PET as a diagnostic biomarker in glioma management have highlighted a need for standardised methods of data analysis. (18)F-FET uptake normalised against background in the contralateral brain is a...

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Detalles Bibliográficos
Autores principales: Brighi, Caterina, Puttick, Simon, Li, Shenpeng, Keall, Paul, Neville, Katherine, Waddington, David, Bourgeat, Pierrick, Gillman, Ashley, Fay, Michael
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8818070/
https://www.ncbi.nlm.nih.gov/pubmed/35122529
http://dx.doi.org/10.1186/s40658-022-00438-2
Descripción
Sumario:BACKGROUND: Multicentre clinical trials evaluating the role of (18)F-Fluoroethyl-l-tyrosine ((18)F-FET) PET as a diagnostic biomarker in glioma management have highlighted a need for standardised methods of data analysis. (18)F-FET uptake normalised against background in the contralateral brain is a standard imaging technique to delineate the biological tumour volume (BTV). Quantitative analysis of (18)F-FET PET images requires a consistent and robust background activity. Currently, defining background activity involves the manual selection of an arbitrary region of interest, a process that is subject to large variability. This study aims to eliminate methodological errors in background activity definition through the introduction of a semiautomated method for region of interest selection. 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. The MI and gCS methods were tested by measuring values of background activity and resulting BTV of (18)F-FET PET scans of ten patients with recurrent glioblastoma multiforme generated from inputs provided by seven readers. To assess intra-reader variability, each scan was evaluated six times by each reader. Intra- and inter-reader variability in background activity and BTV definition was assessed by means of coefficient of variation. RESULTS: Compared to the gCS method, the MI method showed significantly lower intra- and inter-reader variability both in background activity and in BTV definition. CONCLUSIONS: The proposed semiautomated MI method minimises intra- and inter-reader variability, providing a valuable approach for standardisation of (18)F-FET PET quantitative parameters. Trial registration ANZCTR, ACTRN12618001346268. Registered 9 August 2018, https://www.anzctr.org.au/Trial/Registration/TrialReview.aspx?id=374253 SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s40658-022-00438-2.