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Abstract #5394

The Combine Analysis of improved Multi-parametric MR for identifying the different subtypes and immunohistochemical expression of Breast cancer

Weixiong Fan1, Xiaofeng Chen1, Fengyan Cheng1, Yabao Cheng2, Tai Xu3, Guijin Li4, Xiaolei Zhu5, and Shuai Li6

1Department of Radiology(MRI), Meizhou City People's Hospital, Meizhou,Guangdong, People's Republic of China, 2Department of Radiology(MRI), Meizhou City People's Hospital, People's Republic of China, 3Department of breast surgery, Meizhou City People's Hospital, Meizhou,Guangdong, People's Republic of China, 4Departmen of Siemens Healthcare application, Siemens Healthcare, Guangdong, People's Republic of China, 5MR scientific marketing NE Asia, Siemens Healthcare, Guangdong, People's Republic of China, 6MR scientific marketing NE Asia, Siemens Healthcare, Beijing, People's Republic of China

The aim of this study was to explore the different subtypes and immunohistochemical expression of breast cancer in improved multi-parametric MR imaging. By introducing the free breathing of ultrafast temporal resolution dynamic VIBE (TWIST-VIBE) and readout segmentation of long variable echo-trains (RESOLVE) techniques, quantitative pharmacokinetic (PK), semi-quantitative DCE-MRI based on curve of time concentration and diffusion parameters were extracted to analyze it. The results show that significant differences in multi parametric parameters Kep and rADC among the different subtypes of Breast cancer. Those parameters were hopeful to be a non-invasive measurement for assessing the subtypes and the biology, histological features of breast cancer.

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Abstract