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Abstract #1822

Preoperative prediction of lymph node metastasis in rectal cancer by multiregional radiomics features from multiparametric MRI

Xiangchun Liu1, Yu Fu1, Kan He1, Jianqing Sun2, Chunyu Zhang1, Xiaochen Huai2, and Huimao Zhang1

1Department of Radiology, The First Hospital of Jilin University, changchun 130021, China, 2Philips Healthcare, Beijing, China

Preoperative accurate assessment of lymph node (LN) status in rectal cancer is essential for precise individualized decision-making. Nevertheless, preoperative LN staging in rectal cancer remains a challenge for the radiologist. Therefore, we develop and validate a radiomics prediction model based on MRI for the preoperative individualized prediction of LN metastasis. The Ridge Classifier is found to give the best prediction accuracy score(73.9%).The mean specificity, sensitivity and F1 score are 84.6%, 60% and 66.4 % , respectively. So, radiomics features from MRI of rectal cancer is a useful tool for predicting LN metastasis preoperatively and has marked discrimination accuracy.

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