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

Synopsis

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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