Machine Learning-based Analysis of Rectal Cancer MRI Radiomics for Prediction of Metachronous Liver Metastasis

Early detecting patients at high risk of metachronous liver metastasis (MLM) in rectal cancer would provide the opportunity for improving prognosis and survival. In this study, we attempted to construct a non-invasive and convenient model based on rectal cancer T2WI and venous phase (VP) MR radiomics to predict MLM using support vector machine (SVM) and logistic regression (LR) algorithms. The results showed that the Model_optimal using the LR algorithm had high potential for MLM prediction than other models. And except for Model_VP, the LR algorithm was not superior to the SVM algorithm for model construction.