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Objective: To explore the application of incoherent motion diffusion-weighted imaging (IVIM-DWI) in the differential diagnosis and molecular subtype analysis of breast cancer. Methods: The clinical data of 225 patients with breast masses were selected, including breast cancers (n = 135) and benign breast tumors (n = 90). According to pathological results, breast cancers were divided into four subtypes: Luminal A (n = 24), Luminal B (n = 57), HER-2-overexpression (n = 27) and triple-negative breast cancers (n = 27). The patients were detected by IVIM-DWI, and then the average diffusion coefficient (ADC), perfusion fraction (f) value, true dispersion coefficient (D) value and false dispersion coefficient (D*) value were compared and analyzed. The above index were used to identify breast cancer and its molecular subtypes by using the receiver operating characteristic (ROC) curve. Results: The ADC, D and D*-value in breast cancer group were significantly lower than those in benign tumor group, while the f-value in breast cancer group was higher than that in benign tumor group (P |
