Zhi-Chang Ba, Hong-Xia Zhang, Ao-Yu Liu, Xin-Xiang Zhou, Lu Liu, Xin-Yi Wang, Abiyasi Nanding, Xi-Qiao Sang, Zi-Xiang Kuai
BACKGROUND: To explore whether the combination of dynamic contrast-enhanced (DCE) magnetic resonance imaging (MRI) and nonmono-exponential (NME) model-based diffusion-weighted imaging (DWI) via deep neural network (DNN) can improve the prediction of breast cancer molecular subtypes compared to either imaging technique used alone. PATIENTS AND METHODS: This prospective study examined 480 breast cancers in 475 patients undergoing DCE-MRI and NME-DWI at 3.0 T. Breast cancers were classified as follows: human epidermal growth factor receptor 2 enriched (HER2-enriched), luminal A, luminal B (HER2-), luminal B (HER2+), and triple-negative subtypes...
March 13, 2024: Clinical Breast Cancer