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Abstract Breast cancer is most prevalent and is the leading cause of cancer related deaths among women worldwide. The early and accurate diagnosis of breast cancer is crucial for successful treatment and to improve the quality of life. There are several imaging modalities for diagnosis of breast lesions. The commonest are mammography and ultrasonography. But In view of the limitations of mammography and other techniques, considerable interest is focused on breast MRI. Magnetic resonance imaging (MRI) is becoming a powerful tool to help with the detection, diagnosis, and staging of breast cancer. Based on the morphology and enhancement pattern of lesions, contrast-enhanced MRI offers an overall sensitivity of 90% and speciicity of 72% in detecting breast lesions .Other indications include evaluation for multifocal and multicentric ipsilateral disease; for contralateral disease in patients with newly diagnosed cancer (particularly lobular carcinoma); for evaluation of therapy response in patients treated with neoadjuvant chemotherapy; for evaluation of patients with axillary or distant metastases when the breast primary is not known or for axillary metastases with an unknown primary. Additional indications can include screening in patients with a history of cancer treatment with breast conservation therapy and problem solving for equivocal findings on other imaging modalities. Optimal performance of breast MRI is highly technique dependent. Patient positioning, imaging parameters, optimal spatial and temporal resolution, and timing of dynamic phase imaging are of crucial importance in the performance of breast MRI. The breast imaging lexicon — Breast Imaging Reporting and Data System (BI-RADS) enables a standardized and consistent description of the morphologic and kinetic characteristics of breast lesions. However, many challenges are still present when interpreting breast enhancement patterns and kinetics. To decrease the number of unnecessary biopsies, a more precise way to differentiate between false-positive enhancing lesions and true-positive malignancies is needed. Recent developments in MR imaging technology have enabled the clinical application of DWI to the entire body, which has shown great promise for the detection and characterization of most tumor types. Through imaging of alterations in the microscopic motion of water molecules, DWI can yield novel quantitative and qualitative information reflecting cellular. |