[18F]FDG-PET/CT in adrenal lesions: diagnostic performance in different clinical settings

Risultato della ricerca: Contributo su rivistaArticolo in rivistapeer review

Abstract

Purpose: Data regarding [18F]FDG-PET/CT for the characterization of adrenal lesions are limited. Most of the studies proposed the tumor-to-liver maximum standardized uptake values (SUVratio) > 1.5 as the best cut off to predict malignancy. The aim of the study was to calculate the optimum cut off in a heterogeneous population with adrenal lesions and evaluate the diagnostic performance SUVratio >1.5. Patients and methods: Retrospective analysis of adrenal lesions undergoing [18F]FDG-PET/CT (2013–2022) for different reasons (atypical adrenal incidentalomas, extra adrenal tumor staging). The diagnosis of benignity was assessed by: (i) histology; (ii) stability or minimal diameter increase (<20%/<5 mm) on 12-months follow-up for non-operated patients. The optimal SUVratio and performance of SUVratio >1.5 were calculated by ROC curves. Results: Forty-two consecutive lesions (diameter 36.1 ± 20.3 mm, 6 bilateral) underwent [18F]FDG-PET/CT (19F, age 61.2 ± 11.7 years). Twenty-nine lesions were benign, 11 malignant [8 metastases (2 bilateral) and 1 adrenocortical carcinoma (ACC)] and 2 pheochromocytomas. The SUVratio cut-off in our population was 1.55 (Sn 100%, Sp 73.7%, AUC 0.868), with similar values excluding pheochromocytomas and metastases (SUVratio cut-off 1.49, Sn 100%, Sp 96.3%, AUC 0.988). The SUVratio cut-off of 1.5 showed 100% Sn, 87% Sp, 73% PPV, and 100% NPV. Conclusion: [18F]FDG-PET/CT could help in decision making process avoiding unnecessary surgery. The SUVratio cut-off of 1.5 has a good performance in a heterogenous population.

Lingua originaleInglese
Numero di articolo20170520
pagine (da-a)325-333
Numero di pagine9
RivistaEndocrine
Volume87
Numero di pubblicazione1
DOI
Stato di pubblicazionePubblicato - gen 2025

Fingerprint

Entra nei temi di ricerca di '[18F]FDG-PET/CT in adrenal lesions: diagnostic performance in different clinical settings'. Insieme formano una fingerprint unica.

Cita questo