ROLE OF MRI BI-RADS IN PREDICTING BREAST MALIGNANCY

Abstract

Summary and Conclusion B reast cancer is the most common invasive cancer in females worldwide. BI-RADS stand for 'breast imaging reporting and data system', and were established by the American College of Radiology (ACR). Although BIRADS started out only for mammograms, it was later adapted for use with MRI and ultrasound as well. BI-RADS employed to classify breast imaging results is useful in predicting malignancy in breast lesions detected with magnetic resonance imaging (MRI). The main objectives of the new BI-RADS are to diminish confusion in the interpretation of imaging findings, to standardize reporting, and to simplify outcome monitoring. The mammography, ultrasound, and magnetic resonance imaging (MRI) lesions have been made more compatible with each other by using the same descriptors for a lesion across whenever possible all 3 imaging modalities Magnetic Resonance Imaging (MRI) has emerged as a valuable imaging modality for breast cancer detection and staging. The MR imaging finding includes terms used to describe morphologic characteristics of breast lesions, kinetic features and defines final assessment categories to describe the level of suspicion regarding MR findings.

Dynamic contrast-enhanced MRI (DCE-MRI) is the most sensitive technique for screening high-risk women and for evaluating the extent of disease in patients with a recent diagnosis of breast cancer. The moderate specificity of DCE-MRI can result in a substantial number of false positive findings. Incorporating diffusion-weighted imaging (DWI) into conventional breast MRI examinations has strong potential to increase specificity. Recent studies have shown improvements in breast MRI accuracy achieved through a combination of DWI and DCE-MRI features, and have identified potential ADC thresholds for differentiating benign from malignant lesions.