A Combinatorial Mri Sequence-based Radiomics Model For Preoperative Prediction Of Microsatellite Instability Status In Rectal Cancer

This article discusses a retrospective study on rectal cancer patients, focusing on the use of MRI imaging and machine learning techniques to predict the risk of metastasis. The study found that certain clinicopathological characteristics, such as age, gender, and tumor location, can be used to accurately predict the risk of metastasis in rectal cancer patients.