Subcategory classifications of Breast Imaging and Data System (BI-RADS) category 4 lesions on MRI

• DOI: 10.1007/s11604-020-01029-w
• Publication Date: 2020-09-01T08:02:51Z
• Authors: Maya Honda; Masako Kataoka; Kosuke Kawaguchi; Mami Iima; Kanae Kawai Miyake; Ayami Ohno Kishimoto; Rie Ota; Akane Ohashi; Masakazu Toi; Yuji Nakamoto
• Keywords: BI-RADS; Subcategory; Breast imaging

Category 4 in BI-RADS for magnetic resonance imaging (MRI) has a wide range of probabilities of malignancy, extending from > 2 to < 95%. We classified category 4 lesions into three subcategories and analyzed the positive predictive value (PPV) of malignancy in a tertiary hospital.This retrospective study included 346 breast MRIs with 434 category 2-5 lesions. All enhancing lesions were classified as category 2 (0% probability of malignancy), 3 (> 0%, ≤ 2%), 4 (> 2%, < 95%) and 5 (≥ 95%); category 4 lesions were further subcategorized into 4A (> 2%, ≤ 10%), 4B (> 10%, ≤ 50%) and 4C (> 50%, < 95%) at the time of diagnosis. Radiological and pathological reports were retrospectively analyzed, and the PPVs were calculated.We included 149 malignant and 285 benign lesions. The PPVs of subcategories 4A, 4B and 4C were 1.8%, 11.8% and 67.5%, respectively. The PPVs were higher for lesions coexisting with category 5 or 6 lesions compared with those for isolated lesions.Category 4 lesions can be classified into three subcategories depending on the likelihood of malignancy. Lesions coexisting with category 5 or 6 lesions are more likely to be malignant.