摘要
目的：探讨乳腺影像报告和数据系统（BI-RADS）在乳腺良恶性病变诊断中的应用价值。方法：586例患者行全数字化乳腺摄影（FFDM）检查，并根据第四版 BI-RADS 分类标准进行图像分析。将 BI-RADS 分类评估结果与病理结果进行比较。结果：586例患者的 FFDM 检查共发现601个病灶，其中良性病灶340个，恶性病灶261个。与病理结果比较，BI-RADS 分类评估对良、恶性乳腺病变的诊断符合率为82．9％，敏感度为92．0％，特异度75．9％，阳性预测值为74．5％，阴性预测值为92．5％；受试者工作特征曲线（ROC）下面积为0．871（P ＜0．001），95％可信区间为0．842～0．900。结论：BI-RADS 分类标准对乳腺良恶性病变的诊断和鉴别诊断有重要作用，同时也有利于指导临床制定合适的治疗方案。
Objectire：To explore the application value of Breast Imaging Reporting and Data System （BI-RADS）clas-sification in the diagnosis of benign and malignant breast lesions.Methods：586 cases undergone full field digital mammogra-phy （FFDM）in our hospital were enrolled.All the images were analyzed and the lesions were categorized according to the BI-RADS （the fourth edition）,and the diagnostic results were compared with pathological results.Results：601 lesions were detected in all 586 patients,including 340 benign lesions and 261 malignant lesions.Compared with pathological results,the accuracy,sensitivity,specificity,positive predictive value （PPV）and negative predictive value （NPV）of BI-RADS classifi-cation for diagnosis of benign lesions and malignant lesions were 82.9%,92.0%,75.9%,74.5% and 92.5% respectively;area under receiver operating characteristic curve （ROC）was 0.871 with statistic significance （P〈0.001）,the 95% confi-dence interval was 0.842～0.900.Conclusion：BI-RADS classification may be very useful for diagnosis and differential diag-nosis of benign and malignant breast lesions,and is helpful to guide the therapeutic plan.
出处
《放射学实践》
2014年第12期1429-1433,共5页
Radiologic Practice
关键词
放射摄影术
数字化乳腺摄影术
乳腺影像报告和数据系统
乳腺疾病
乳腺肿瘤
鉴别诊断
Breast diseases
Breast neoplasms
Radiography
Full field digital mammography
Breast imaging repor-ting and data system
Differential diagnosis
