Fiche publication
Date publication
août 2024
Journal
Best practice & research. Clinical endocrinology & metabolism
Auteurs
Membres identifiés du Cancéropôle Est :
Pr IMPERIALE Alessio
Tous les auteurs :
Imperiale A, Berti V
Lien Pubmed
Résumé
Radiomics revolutionizes medical imaging by providing quantitative analysis that complements traditional qualitative assessments through advanced computational techniques. In this narrative review we have investigated the impact of succinate dehydrogenase (SDH) pathogenic variants on the radiomic profile of F-FDG, F-DOPA, and Ga-DOTA-peptides PET in paragangliomas, focusing on head and neck localizations (HNPGLs). This influence manifests in uptake intensity and textural heterogeneity, revealing a complex radiomic landscape that may reflect specific tumor behaviors and mutation statuses. By combining radiomic analysis with genetic data, we will gain new insights into the relationship between PET imaging features and underlying molecular changes. In the future, we envision an approach integrating macroscopic indices, such as lesion location, size, and SUV, with advanced computer-based algorithms. This comprehensive analysis could facilitate in vivo predictions of SDH pathogenic variants, thereby encouraging genetic testing, and ultimately improving patient outcomes.
Mots clés
(68)Ga-DOTATOC, PET, head and neck, neuroendocrine, paraganglioma, radiomics, succinate dehydrogenase
Référence
Best Pract Res Clin Endocrinol Metab. 2024 08 23;:101926
