Yukun He, Rui Zhou*


Department of Thyroid and Breast Surgery, Zhongnan Hospital of Wuhan University, Wuhan, PR China


Objective: The objective was to study the sensitivity difference of BI-RADS classification in breast tumours of different pathological types. 

Methods: From April 2017 to October 2018, 193 patients who underwent breast ultrasound examination in our hospital and found breast tumours were treated with parallel surgery. Ultrasound was performed using a colour Doppler ultrasound system to perform a BI-RADS grading assessment of breast masses. After the breast mass was found, the surgical treatment was performed after adequate surgical evaluation, and pathological diagnosis was performed after resection. Results of BI-RADS classification and pathological diagnosis were analysed and compared. 

Results: A total of 203 subjects were examined for 200 lesions, and all were surgically removed for pathological examination. Among the 200 lesions, there were 171 benign BI-RADS grades, 29 of which were malignant; 171 were pathologically benign, and 25 were malignant. There was no statistical difference between the two diagnostic methods (X2=0.34, P>0.05). Of the 175 lesions diagnosed as benign by BI-RADS, seven were pathologically confirmed as malignant lesions. Three of the 25 lesions were diagnosed as malignant using BI-RADS, and three were pathologically confirmed to be benign lesions. The diagnostic sensitivity of BI-RADS classification for benign and malignant breast masses was 75.86% (22/29), with a specificity of 98.24% (168/171) and an accuracy of 95% (190/200). BI-RADS classification has high diagnostic sensitivity for benign breast mass epidermal cysts, malignant breast papillary carcinoma, and relatively low sensitivity to other pathological types of breast masses. 

Conclusion: The BI-RADS classification has a high diagnostic sensitivity for benign and malignant breast masses, and there are differences in the sensitivity of breast tumours of different pathological types.



Breast mass, pathology, BI-RADS classification, sensitivity.