Rectal cancer is one of the most common malignant tumors in gastrointestinal tract. Tumor metastasis is still a major cause of death in patients with rectal cancer. The distant metastasis rate for rectal cancer remains constant at 20-50%1. Prediction of synchronous distant metastasis is important for the choice of personalized treatment strategies. Radiomics can extract quantitative features from digital images, which are related to the underlying pathophysiology2. We developed a radiomics model based on the MR radiomics features in combination with independent clinico-radiologic risk factors, which help to predict the synchronous distant metastasis in patients with rectal cancer.