Diffusion Coefficient and Micro-calcifications to Kaiser Score in Evaluation of BI-RADS 4 Breast Lesions

Breast cancer is the most commonly diagnosed cancer worldwide and is the leading cause of cancer-related deaths in women. Mammography, breast ultrasonography (US), and breast magnetic resonance imaging (MRI) are essential for the diagnosis and follow-up of breast cancer. The American College of Radiology Breast Imaging- Reporting and Data System (ACR BI-RADS), which is used worldwide, provides the standard terminology for breast imaging (Jajodia et al., 2021). The ACR BI- RADS lexicon categorizes breast imaging findings into seven BIRADS categories of 0, 1, 2, 3, 4(4a, 4b, 4c), 5, and 6 according to the probability of malignancy. Breast imaging findings assigned as BI-RADS 4 require tissue sampling and histopathological examination. However, the likelihood of malignancy of lesions classified as BI-RADS 4 ranges widely, from 3% to 94%. Categorization of lesions according to BI-RADS is related to the experience of the radiologist, with experienced radiologists performing better than inexperienced radiologists