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Abstract #3657

Applying Multiple Diffusion Models to Predict HER-2 Status in Patients with Breast Cancer: a preliminary study using Diffusion Spectrum Imaging

Chunping Mao1, Mengzhu Wang2, Xu Yan2, Guang Yang3, Xiang Zhang1, and Jun Shen1
1Department of Radiology, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, China, 2MR Scientific Marketing, Siemens Healthineers, Guangzhou, China, 3MR Scientific Marketing, School of Physics and Electronic Science, Shanghai, China


This study explored the feasibility of applying multiple diffusion models based on the same diffusion spectrum imaging (DSI) data into preoperative prediction of HER-2 status in patients with breast cancer (BC). The results showed that some diffusion parameters can discriminate HER-2 positive BC patients, but apparent diffusion coefficient (ADC) based on conventional mono-exponential model can not. This study suggests that the simultaneously application of multiple diffusion models from DSI data is feasible for diagnosis of patients with BC, which has certain clinical value of preoperative prediction of HER-2 status and is worthy of further research.

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