Development and validation of MRI‐based deep learning models for prediction of microsatellite instability in rectal cancer

Abstract

Deep learning based on high-resolution T2-weighted magnetic resonance images showed a good predictive performance for MSI status in rectal cancer patients. The proposed model may help to identify patients who would benefit from chemotherapy or immunotherapy and determine individualized therapeutic strategies for these patients.