YU Dai-you1, LIU Xiu-mei1, KANG Peng2， CHEN Wen1, YU Jie1
1.Cangzhou Clinical College of Integrated Traditional Chinese and Western Medicine of Hebei Medical University,Cangzhou Hebei 061001, China; 2.Department of Radiology, the Affiliated Hospital toLiaoning Univesity of Chinese Medicine, Shenyang 110032, China
Abstract：Objective: To investigate the application value of breast imaging reporting and data system(BI-RADS) in mammography. Methods: One hundred and seventy patients with 175 masses were discovered by digital mammography and confirmed by surgical, biopsy and pathology from January 2010 to January 2013. All patients were female, the average age was 46.30±8.53 years old. ACR BI-RADS standard was used for classification. Correlation of the images with pathologic results were carried out and the positive predictive value(PPV) was analyzed. Results: In the 175 masses, pathologic diagnosis after operation: benign lesions n=103, malignant lesions n=72. On X-ray, appearances of simple mass n=128, among which 32.3%(41/128) were malignant, masses with calcification n=47, among which 65.96%(31/47) were malignant. Benign lesion appeared oval in shape 40.6%(71/175), obscured margin 26.3%(45/175), isodensity 53.1%(93/175). Malignant lesions mainly appeared as irregular in shape 29.8%(52/175), ill defined border 20.6%(36/175), hyperdensity 24.6%(43/175). X-ray diagnosis by BI-RADS 2, 3 in 29 lesions, BI-RADS 4(a, b, c) and 5 in 146 lesions. Accuracy rate of benign lesion was 100%(29/29). PPV was 49.32%. Conclusion: Application of BI-RADS can effectively evaluating and predicting benign and malignant masses discovered by mammography.
2014, Vol. 25 
