Application of Intratumoral and Peritumoral Multimodal MRI in Predicting HER-2 Expression in Breast Cancer

Motivation: Human epidermal growth factor receptor-2(HER-2) was a proto-oncogene, and its overexpression was closely associated with the development and prognosis of breast cancer. Goal(s): To investigate predictive value of intratumoral and peritumoral multimodal magnetic resonance imaging (MRI) before surgery for the expression level of HER-2 in breast cancer. Approach: The parameters, including apparent diffusion coefficient (ADC), tissue-diffusivity (Dt), pseudo-diffusivity (Dp), perfusion fraction(f), relaxation rate(R2*), fat-fraction (FF), the relaxation value longitudinal relaxation time(T1), transverse relaxation time(T2) and proton density(PD) were used to predict the expression level of HER-2 in breast cancer. Results: MUSE-Dt-peritumoral predicted HER-2 with the highest AUC(0.724, P=0.017). Impact: There were few studies involving intratumoral and peritumoral multimodal MRI to predict HER-2 in breast cancer. The result was that peritumoral parameters had a momentous part in predictive performance beyond expectation, especially non-invasive techniques which were easy to implement clinically.