28 An MRI radiomic signature for predicting brachytherapy outcomes in locally advanced cervical cancer

• Published in: Physica medica 2018-12, Vol.56, p.17-17
• Main Authors: Alexis, Anthony, Reuzé, Sylvain, Bockel, Sophie, Berthelot, Kevin, Dumas, Isabelle, Orlhac, Fanny, Sun, Roger, Escande, Alexandre, Ammari, Samy, Haie-Meder, Christine, Chargari, Cyrus, Deutsch, Eric, Robert, Charlotte
• Format: Article
• Language: English
• ISSN: 1120-1797; 1724-191X
• DOI: 10.1016/j.ejmp.2018.09.041

The standard treatment of locally advanced cervical cancer (LACC) consists of concomitant chemoradiation followed by brachytherapy. The recent implementation of image-guided adaptive brachytherapy (IGABT) has shown a significant improvement in local control while limiting toxicity. We identified a radiomic signature of LACC relapse based on per-brachytherapy MRI. 100 patients with LACC treated with pulsed-dose-rate IGABT after initial chemoradiation were retrospectively included (TS: N = 60, training; VS: N = 40, validation). Using LIFEx, we extracted 30 textural features from the clinical target volume delineated on T2 FSE MRI. A methodological study was carried out to identify the most robust and informative features. The ability of remaining features to predict relapse was assessed through univariate and multivariate statistical analysis. 9 clusters including 24 robust features were considered for the clinical analysis. In univariate analysis, five features were statistically significant predictors of overall recurrence (TS: p