Keywords: Breast, Breast, multimodal; MUSE; MAGIC; IDEAL-IQ; HER-2
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.
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