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Abstract #3180

Applying Continuous-Time-Random-Walk (CTRW) diffusion model based Radiomics in Predicting HER-2 Expression in Breast Invasive Ductal Cancer

Siyao Du1, Mengfan Wang1, Shasha Liu1, Xiaoqian Bian1, Xinyue Chen1, Liangcun Guo1, Guoliang Huang1, Ruimeng Zhao1, Can Peng1, Wenhong Jiang1, Qinglei Shi2, Xu Yan2, Guang Yang3, and Lina Zhang1
1Department of Radiology, The First Affiliated Hospital of China Medical University, Shenyang, China, 2MR Scientific Marketing, Siemens Healthineers Ltd., Beijing, China, 3Shanghai Key Laboratory of Magnetic Resonance, East China Normal University, Shanghai, China


In this study, we built a support vector machine (SVM) model based on quantitative parameters of continuous-time random-walk (CTRW) diffusion model in predicting the human epidermal growth factor receptor-2 (HER-2) expression in breast invasive ductal carcinoma. An AUC of 0.753 was achieved, which may have a great potential in future clinical practice.

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