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Abstract #4295

MRI-based radiomics model for preoperative prediction of extramural venous invasion of rectal adenocarcinoma

Huijie Jiang1, Xue Lin1, Sheng Zhao1, and Hongbo Hu1
1Harbin Medical University, Harbin, China


Radiomics features were extracted through MRI images and different prediction models (clinical model, logistic regression [LR], random forest [RF], support vector machine [SVM], clinical-LR model, clinical-RF model, and clinical-SVM model) for extramural venous invasion (EMVI) were constructed on the basis of radiomics features and clinical factors, respectively. The optimal model, which had the best predictive efficiency, was screened out for predicting the EMVI status of rectal adenocarcinoma patients.

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