Implementing the Point Spread Function Deconvolution for Better Molecular Characterization of Newly Diagnosed Gliomas: A Dynamic F-FDOPA PET Radiomics Study.
Fiche publication
Date publication
novembre 2022
Journal
Cancers
Auteurs
Membres identifiés du Cancéropôle Est :
Pr VERGER Antoine
Tous les auteurs :
Ahrari S, Zaragori T, Bros M, Oster J, Imbert L, Verger A
Lien Pubmed
Résumé
This study aims to investigate the effects of applying the point spread function deconvolution (PSFd) to the radiomics analysis of dynamic L-3,4-dihydroxy-6-[F]-fluoro-phenyl-alanine (F-FDOPA) positron emission tomography (PET) images, to non-invasively identify isocitrate dehydrogenase (IDH) mutated and/or 1p/19q codeleted gliomas.
Mots clés
PET, glioma, machine learning, point spread function, radiomics
Référence
Cancers (Basel). 2022 11 23;14(23):