Background: Dynamic contrast–enhanced magnetic resonance (DCE-MR) imaging of the breast is increasingly used as an adjunct to mammography and ultrasonography (US) to improve the detection and characterization of primary and recurrent breast cancers. Correlation between morphological features, kinetic parameters of DCE-MRI and prognostic factors of BC has been previously analysed, providing conflicting results. Aim of the study is to expand the evaluation of the dynamic characteristics of MRM, analyzing potential correlation with the histopathologic and immunohistochemical characteristics of breast cancer to orient the subsequent clinical and therapeutic management of patient. Patients and methods: Between January 2012 and June 2016, 95 consecutive patients with histopathologically confirmed invasive breast carcinoma underwent MR imaging were elegible. Patients with rare forms of breast cancer (different from invasive ductal/lobular carcinoma) were excluded. In patients with multifocal, multicentric or bilateral carcinoma, the largest lesion was analysed. Results: The immunohistotype was shown to be significantly related with Maximum Enhancement (p = 0.05), Time to peak (p = 0.04) and Wash-in rate (p = 0.01). Furthermore, ER status correlates with Maximum and Relative Enhancement (p = 0.004 and p = 0.028, respectively), Wash-in rate (p = 0.0018) and Area under curve (p = 0.006). In addition, PR status and vascular invasion were significantly related to Time to peak (p = 0.048 and p = 0.02, respectively). Type of RMN curve doesn’t show any significant association in relation to the histological, immunohistochemical and locoregional features of BCs. Conclusion: Our analysis demonstrated that Max Enhancement Absolute and Relative, Time to Peak, Wash-in rate and Area under the curve, which dependent from tumoral grading and intra and peri-lesional vascularization, significantly correlate with several prognostic factors, like ER status, immune-profile and tumoral vascular invasion. Thus, they can potentially predict the intrinsic aggressiveness of the lesion and improve molecular characterization.