Application of Breast Ultrasound Imaging Report and Data System classification in diagnosis of special types of breast cancer / 中华超声影像学杂志

ABSTRACT

Objective:To investigate the value of Breast Ultrasound Report and Data System (BI-RADS) classification in diagnosis of special types of breast cancer.Methods:A total of 112 patients with special type of breast cancer (112 breast lesions) confirmed by pathology were analyzed by using BI-RADS ultrasound category in the Second Affiliated Hospital, Zhejiang University School of Medicine from August 2009 to August 2020. All patients underwent ultrasound before surgery. The breast lesions were evaluated by senior attending and junior resident according to BI-RADS ultrasound category respectively. Taking histopathological result as the gold standard, the sensitivity and accuracy of BI-RADS classification in the diagnosis of special types of breast cancer were calculated.The differences between different special types of breast cancer in terms of ultrasound characteristics and pathological features were analyzed. Kappa consistency test was used to evaluated the consistency of the results of two physicians.Results:In the 112 patients, pathological results showed that there were 20 cases of metaplastic carcinoma, 19 cases of invasive carcinoma with medullary features, 16 cases of differentiated carcinoma of apocrine gland, 12 cases of mucinous carcinoma, 12 cases of invasive micropapillary carcinoma, 10 cases of invasive papillary carcinoma, 6 cases of invasive lobular carcinoma and 17 cases of other special types of carcinoma. Among them, 4 cases (3.5%) were BI-RADS 3, 13 cases (11.6%) were BI-RADS 4a, 42 cases (37.5%) were BI-RADS 4b, 47 cases (42.0%) were BI-RADS 4c and 6 cases (5.4%) were BI-RADS 5. The accuracy and sensitivity of BI-RADS classification in diagnosis of special types of breast cancer was 96.43% and 96.43%, respectively. There was significant difference in BI-RADS grade among different special types of breast cancer ( P<0.05). Most lesions were characterized by hypoechoic with irregular shape and angular or microlobulated margin. The nodule size, boundary, echo and posterior echo in breast cancer with different special types showed significant differences (all P<0.05). There was a good consistency between the two physicians (Kappa=0.789). Conclusions:The ultrasonography features of different special types of breast cancer are different. BI-RADS classification has great value in diagnosis of special types of breast cancer.