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Abstract #3290

Synthetic MRI with quantitative mappings as biomarkers for prediction of  prognostic factors and molecular subtypes of breast cancer

Weibo Gao1, Quanxin Yang1, Xin Chen1, and Xiaocheng Wei2
1Radiology, Second Affiliated Hospital of Xi’an Jiaotong University, Xi’an, Shaanxi, China, 2MR Research, GE Healthcare, Beijing, China

In this study, we aim to investigate whether different parameters of synthetic MRI can be used for the prediction of prognostic factors and molecular subtypes of breast cancer. It was concluded that SD of PD-Pre, SD of PD-Gd, T2-Pre, T2-Gd, T1-Pre and PD-Pre can be used as quantitative imaging biomarkers for the different receptor status of breast cancer. Among them, SD of PD-Pre, SD of PD-Gd, T2-Pre and T2-Gd were significantly different molecular subtypes, which worth further study.

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