Fiche publication
Date publication
mai 2025
Journal
Canadian Association of Radiologists journal = Journal l'Association canadienne des radiologistes
Auteurs
Membres identifiés du Cancéropôle Est :
Pr HOEFFEL Christine
Tous les auteurs :
Barat M, Eltaher M, Moawad AW, Soyer P, Fuentes D, Golse M, Jouinot A, Ahmed AA, Shehata MA, Assié G, Elmohr MM, Haissaguerre M, Habra MA, Hoeffel C, Elsayes KM, Bertherat J, Dohan A
Lien Pubmed
Résumé
Adrenocortical carcinoma (ACC) is a rare condition with a poor and hardly predictable prognosis. This study aims to build and evaluate a preoperative computed tomography (CT)-based score (CT score) using features previously reported as biomarkers in ACC to predict overall survival (OS) in patients with ACC. A CT score based on preoperative CT examinations combining shape elongation, maximum tumour diameter, and the European Network for the Study of Adrenal Tumors (ENSAT) stage was built using a logistic regression model to predict OS duration in a development cohort of 89 patients with ACC. An optimal cut-off of the CT score was defined and the Kaplan-Meier method was used to assess OS. The CT score was then tested in an external validation cohort of 54 patients wit ACC. The C-index of the CT score for predicting OS was compared to that of ENSAT stage alone. The CT score helped discriminate between patients with poor prognosis and patients with good prognosis in both the validation cohort (54 patients; mean OS, 69.4 months; 95% confidence interval [CI]: 57.4-81.4 months vs mean OS, 75.6 months; 95% CI: 62.9-88.4 months, respectively; = .022). In the validation cohort the C-index of the CT score was significantly better than that of the ENSAT stage alone (0.62 vs 0.35; = .002). A CT score combining morphological criteria, radiomics, and ENSAT stage on preoperative CT examinations allows a better prognostic stratification of patients with ACC compared to ENSAT stage alone.
Mots clés
Adrenocortical carcinoma, Computer-assisted, Image processing, Multidetector computed tomography, Prognosis
Référence
Can Assoc Radiol J. 2025 05 4;:8465371251335170