Zhuang Z, Liu Z, Li J, et al. - By performing this secondary analysis of the FOWARC randomized controlled trial, researchers intended to construct a radiomic model based on pretreatment computed tomography (CT) to predict the pathological complete response (pCR) in patients suffering from rectal cancer post-neoadjuvant treatment. They also attempted to combine their model with magnetic resonance imaging (MRI)-based radiomic signature. Participants included 177 patients with rectal cancer. A CT-based rad-score was constructed for pCR prediction as well as a gradient boosting machine model was developed after clinicopathological variables were included, with improved AUCs of 0.997 and 0.822 in the primary and validation cohort, respectively. Findings indicate the likely usefulness as well as reliability of the CT-based radiomic models, built in this study, for not only predicting pCR post-neoadjuvant treatment but also for detecting patients suitable for a 'watch and wait' approach, and therefore preventing overtreatment. Additionally, CT-based radiomic signature may add predictive worth to the MRI-based models for clinical decision making.