自动乳腺全容积成像的冠状面特征对改良BI-RADS分类的临床研究

发布时间：2018-01-12 17:25

本文关键词：自动乳腺全容积成像的冠状面特征对改良BI-RADS分类的临床研究　出处：《实用医学杂志》2017年05期 　论文类型：期刊论文

【摘要】：目的 :探讨自动乳腺全容积成像冠状面特征对改良BI-RADS分类的临床价值。方法:对201个BI-RADS分类为3~5类的乳腺肿块进行回顾性分析,所有的肿块术前均行常规彩超与自动乳腺全容积成像(ABVS)检查,用BI-RADS分类的标准化术语描述乳腺肿块的各种信息,并记录ABVS冠状面图像上肿块的完整界面回声、"汇聚征"、成角、毛刺,最后进行BI-RADS分类。结果:ABVS冠状面的汇聚征、完整界面回声、成角、毛刺在良恶性肿块鉴别上差异均有显著性(P0.000 1)。ABVS的汇聚征诊断乳腺恶性肿块的敏感性为68.2%,特异性为93.4%,准确性为82.0%。常规超声联合ABVS冠状面特征改良BI-RADS分类后显示:3类的恶性率由8.5%降为3.2%,4a类的恶性率由25.2%降低为12.1%,5类的恶性率由94.2%升为98.0%。结论:ABVS的汇聚征可作为预测乳腺恶性肿块的有意义的独立指标;彩超联合ABVS有助于提高超声BI-RADS分类的准确性。
[Abstract]:Objective: to investigate the clinical value of coronal features of automatic full volume mammography in modified BI-RADS classification. A retrospective analysis of 201 breast masses classified as 3 or 5 by BI-RADS was performed. All masses were examined by conventional color Doppler ultrasonography and automatic full-volume mammography (ABVS) before operation. All kinds of information of breast masses were described by standardized terms of BI-RADS classification. The complete interface echo, "convergence sign", angle, burr on ABVS coronal image were recorded. Finally, BI-RADS classification was carried out. Results the convergence sign of coronal surface of ABVS was obtained. There were significant differences in the differential diagnosis of benign and malignant masses between complete interface echo, angle and burr. The sensitivity of convergent sign of P0. 000 1 +. ABVS in the diagnosis of breast malignant masses was 68.2%. The specificity was 93.4 and the accuracy was 82.0. The improved BI-RADS classification with conventional ultrasound combined with ABVS coronal features showed that the malignant rate of category 3 decreased from 8.5% to 3.2%. The malignant rate of 4a decreased from 25.2% to 12.1%. The malignant rate of 5 types increased from 94.2% to 98.0.Conclusion the convergent sign of 7% ABVS can be used as an independent index to predict breast malignant masses. Color Doppler ultrasound combined with ABVS can improve the accuracy of ultrasonic BI-RADS classification.
【作者单位】：广东省中医院超声诊断科;
【基金】：广东省科技计划项目(编号:2012B061700096) 广东省中医院拔尖人才专项(编号:2014KT1495)
【分类号】：R737.9;R445.1
【正文快照】： 乳腺癌是女性最为常见的恶性肿瘤之一,临床上常用的乳腺疾病影像检查手段主要集中钼靶X线摄影、超声和MRI。自动乳腺全容积成像(automatic breast volume scanner,ABVS)作为一种新型的三维立体成像新技术,具有规范化的工作流程,由于它的全乳腺、全自动、全容积成像及清晰的大

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