Dynamic F-FDopa PET Imaging for Newly Diagnosed Gliomas: Is a Semiquantitative Model Sufficient?
Fiche publication
Date publication
janvier 2021
Journal
Frontiers in oncology
Auteurs
Membres identifiés du Cancéropôle Est :
Pr TAILLANDIER Luc, Pr VERGER Antoine, Dr RECH Fabien
Tous les auteurs :
Zaragori T, Doyen M, Rech F, Blonski M, Taillandier L, Imbert L, Verger A
Lien Pubmed
Résumé
Dynamic amino acid positron emission tomography (PET) has become essential in neuro-oncology, most notably for its prognostic value in the noninvasive prediction of isocitrate dehydrogenase (IDH) mutations in newly diagnosed gliomas. The 6-[F]fluoro-l-DOPA (F-FDOPA) kinetic model has an underlying complexity, while previous studies have predominantly used a semiquantitative dynamic analysis. Our study addresses whether a semiquantitative analysis can capture all the relevant information contained in time-activity curves for predicting the presence of IDH mutations compared to the more sophisticated graphical and compartmental models.
Mots clés
DOPA, IDH mutation, PET, compartmental modeling, dynamic analysis, glioma
Référence
Front Oncol. 2021 ;11:735257