乳腺全容积扫描鉴别诊断早期乳腺瘤样病灶的价值

The value of differential diagnosis of early breast tumor like lesions by total volume scanning

目的:探讨自动乳腺全容积扫描(automated breast volume scanner,ABVS)在早期乳腺瘤样病变中的诊断价值。方法:回顾性分析143例中178个乳腺占位病变ABVS影像特征与HHUS对比,并与病理结果对照,评价ABVS系统对乳腺早期占位性病变的诊断价值。结果:ABVS诊断乳腺肿块良恶性的ROC曲线下面积高于HHUS(Z=2.258,P=0.025)。ABVS冠状面"汇聚征"诊断乳腺癌特异性和阳性预测值均达100%,准确性和阴性预测值分别高达95.5%、94.44%。结论:ABVS可显示乳腺占位性病变的形态特征、内部细微结构与周围组织的关系,其特有的冠状面"汇聚征"可作为乳腺癌特征性声像标准,对乳腺瘤样病灶鉴别诊断具有特异性。

Objective： To evaluate the diagnostic value of automated breast volume scanning （ABVS） in early breast tumor like lesions. Methods： The imaging features of 178 cases of breast lesions in ABVS were compared with those of HHUS, and compared with pathological results. The value of ABVS system in the diagnosis of early breast lesions was evaluated. Results： The area under the ROC curve of ABVS diagnosis of benign and malignant breast tumors was higher than HHUS （Z=2.258, P=0.025）. The specificity and positive predictive value of ABVS coronal convergence sign in diagnosis of breast cancer Was 100%, and the accuracy andnegative predictive value were as high as 95.5%, 94.44%. Conclusion： ABVS can show the relationship between breast lesions morphology and internal fine structure and surrounding tissues, coronal unique convergence sign can be used as a breast cancer specific feature of breast tumor like lesions, differential diagnosis with specificity.