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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