Defined by tumor invasion of nervous structures and nerve sheaths, the presence of perineural invasion (PNI) is thought to indicate an increased risk for progressive disease in rectal cancers. Here, we developed and validated a radiomics model for individualized prediction of PNI in rectal cancer based on pre-procedure MRI. The Ridge Classifier is found to have the best prediction accuracy score (80.8%), its specificity, sensitivity and F1 score are 90.5%, 60.4%, and 67.0%, respectively. So, the radiomics features from MRI of rectal cancer is a useful tool for predicting PNI preoperatively and has marked discrimination accuracy.
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