Abstract：Objective To study the effectiveness of application of the breast imaging reporting and data system (BI-RADS) in diagnosis of benign and malignant breast lesions. Methods Altogether 107 patients with breast lesions were scanned by X-Ray, classified according to BI-RADS and were further compared with pathologic findings. Moreover, the accuracy, sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV) were calculated. Results Among 107 patients, there were 58 malignant and 49 benign lesions. The diagnostic accuracy, sensitivity and specificity of BI-RADS were 70.1% (75/107), 98.3% (57/58) and 36.7% (18/49). The general PPV of BI-RADS was 64.8% (57/88). The PPV of Category 0, 4, 5 were 46.7% (7/15), 43.9% (18/41) and 100% (32/32) respectively. The NPV of Category 1, 2 and 3 were 100% (4/4), 90.0% (9/10) and 100% (5/5) respectively. Conclusion BI-RADS classification was useful in mammographic diagnosis of breast lesions. With combination of the features of Category 0 and the clinical examinations, the omission diagnostic rate could be reduced.
王秀丽. BI-RADS分类在乳腺良恶性病变诊断中的应用价值[J]. 中国医疗设备, 2015, 30(9): 57-59.
WANG Xiu-li. Effectiveness of Application of BI-RADS Classification in Diagnosis of Benign and Malignant Breast Lesions. China Medical Devices, 2015, 30(9): 57-59.
Fowler EE,Sellers TA,Lu B,et al.Breast Breast Imaging Reporting and Data System (BI-RADS) breast composition descriptors: automated measurement development for full field digital mammography[J].Med Phys,2013,40(11):113502.
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Fowler EE,Sellers TA,Lu B,et al.Breast Breast Imaging Reporting and Data System (BI-RADS) breast composition descriptors: automated measurement development for full field digital mammography[J].Med Phys,2013,40(11):113502.
