Automatic Extraction of PET RANO Criteria with an Externally Validated Deep Learning Model: Application to [18F]FDOPA PET Imaging.

Fiche publication

Date publication

mai 2026

Journal

Neuro-oncology

Auteurs

Membres identifiés du Cancéropôle Est :
Pr TAILLANDIER Luc , Pr VERGER Antoine

Tous les auteurs :
Zaragori T, Rozenblum L, Rovera G, Stien G, Zinsz A, Taillandier L, Rudà R, Laurenge A, Morbelli S, Kas A, Verger A

Lien Pubmed

https://www.ncbi.nlm.nih.gov/pubmed/42089130

Résumé

Automatic segmentation of gliomas on amino acid PET is essential for quantitative tumor assessment, a pillar in monitoring gliomas under treatment. This study aimed to develop a deep learning model for the automated extraction of PET RANO criteria from [18F]FDOPA PET, with external validation.