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Abstract #0877

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

Meng Liang1, Zhengting Cai2, Chencui Huang2, and Xinming Zhao1

1Department of Radiology, Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical college, Beijing, China, 2Huiying Medical Technology Co., Ltd, Beijing, China

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 Modeloptimal using the LR algorithm had high potential for MLM prediction than other models. And except for ModelVP, the LR algorithm was not superior to the SVM algorithm for model construction.

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