Nonpalpable breast lesions categorization by breast imaging reporting and data system (BI-RADS)
- VernacularTitle:乳腺影像报告与数据系统对临床触诊阴性乳腺病灶分类的价值
- Author:
Zhongzhao WANG
;
Baoning ZHANG
;
Jing LI
;
Liming JIANG
- Publication Type:Journal Article
- Keywords:
Breast neoplasms;
Mammography;
Palpation;
Biopsy
- From:
Chinese Journal of General Surgery
2000;0(11):-
- CountryChina
- Language:Chinese
-
Abstract:
Objective To evaluate breast imaging reporting and data system (BI-RADS) in categorization and biopsy of nonpalpable breast lesions (NPBLs). MethodsOne hundred and sixty-two NPBLs from 144 female patients detected by mammography were retrospectively categorized according to BI-RADS. All the lesions finally got histopathological diagnosis by wire-localization biopsy. Results There were 46 malignant lesions, with the positive predictive value for cancer of 28.4% (46/162). The cases of BI-RADS 2-5 lesions were 11, 55, 77, and 19 after categorization according to the BI-RADS, and the positive predictive value of each category for cancer was 0% (0/11),3.6% (2/55),37.7% (29/77),78.9% (15/19) respectively. ConclusionBI-RADS categorization improves the diagnostic specificity of nonpalpable breast lesions and helps decision-making for biopsy. It is suggested that NPBLs on category of BI-RADS 4 or 5 should undergo biopsy.
