Treatment response prediction using MRI‐based pre‐, post‐, and delta‐radiomic features and machine learning algorithms in colorectal cancer

Objectives We evaluate the feasibility of treatment response prediction using MRI‐based pre‐, post‐, and delta‐radiomic features for locally advanced rectal cancer (LARC) patients treated by neoadjuvant chemoradiation therapy (nCRT). Materials and Methods This retrospective study included 53 LARC patients divided into a training set (Center#1, n = 36) and external validation set (Center#2, n = 17). T2‐weighted (T2W) MRI was acquired for all...