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Abstract #3170

Preoperative Prediction of Lymph Node Metastasis in Patients With Rectal Cancer Using A Multi-Modality Radiomics Model

Rui Wu1, Weiqiang Dou2, and Aiyin Li3
1Department of radiology, Shandong Provincial Qianfoshan Hospital, Cheeloo college of Medicine, Shandong University, Jinan, China, 2MR Research, GE Healthcare, Beijing, China, 3Department of radiology, The First Affiliated Hospital of Shandong First Medical University & Shandong Provincial Qianfoshan Hospital, Jinan, China


This study mainly aimed to build a multi-modality radiomics model for predicting lymph node metastasis (LNM) of rectal cancer (RC) preoperatively. 82 RC patients were enrolled in this study. Two, six, four and eleven optimal features were separately selected for venous phase CT, HR-T2WI, DWI and multi-modality by incorporating CT, HR-T2WI and DWI together. Together with MRI-reported LN status feature, clinical features, and the combination of multi-modality and clinical features, in total seven support vector machine (SVM) classification models were respectively built. Incorporated with clinical features, multi-modality radiomics model provided the most robust predictive performance in predicting LNM.

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