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Abstract #4862

Preoperative Prediction of Axillary Lymph Node Metastasis in Breast Carcinoma Using Radiomics Features Based on the Fat-suppressed T2 Sequence

Hongna Tan1, Fuwen Gan2, Yaping Wu3, Yusong Lin4, and Meiyun Wang3
1Radiology, Department of Radiology, Henan Provincial People’s Hospital & Imaging Diagnosis of Neurological Diseases and Research Laboratory of Henan Province & People's Hospital of Zhengzhou University, Henan, China, 450003, Zhengzhou, China, 2Collaborative Innovation Center for Internet Healthcare & School of Software and Applied Technology, Zhengzhou University, Zhengzhou, Henan,China, 450052, Zhengzhou, China, 3Department of Radiology, Henan Provincial People’s Hospital & Imaging Diagnosis of Neurological Diseases and Research Laboratory of Henan Province & People's Hospital of Zhengzhou University, Henan, China, 450003, Zhengzhou, China, 4Collaborative Innovation Center for Internet Healthcare & School of Software, Zhengzhou University, Zhengzhou, Henan,China, 450052, Zhengzhou, China

Currently, a noninvasive and high diagnostic sensitivity model for preoperative predicting the status of ALN is need. Our aim is to investigate the value of radiomics method based on the fat-suppressed T2 sequence for preoperative predicting axillary lymph node (ALN) metastasis in breast carcinoma.

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