超声新技术提升乳腺影像报告和数据系统分类特异度应用进展  

Application progresses of new ultrasonic technologies for improving the specificity of classification of breast imaging reporting and data system

作　　者：王心怡[1,2] 崔立刚[1] WANG Xinyi;CUI Ligang(Department of Ultrasound,Peking University Third Hospital,Beijing 100191,China;Key Laboratory of Carcinogenesis and Translational Research,Breast Center,Peking University Cancer Hospital&Institute,Beijing 100142,China)

机构地区：[1]北京大学第三医院超声科,北京100191 [2]北京大学肿瘤医院暨北京市肿瘤防治研究所乳腺中心,恶性肿瘤发病机制及转化研究教育部重点实验室,北京100142

出　　处：《中国医学影像技术》2021年第6期937-940,共4页Chinese Journal of Medical Imaging Technology

摘　　要：乳腺影像报告和数据系统(BI-RADS)建议对4a类及以上的肿物予病理学检查,但活检恶性率偏低,提升BI-RADS的特异度是亟待解决的问题。作为我国最常见的乳腺影像学检查方法之一,超声诊断结果对临床决策至关重要。本文对近年来超微血管成像、全自动乳腺容积扫描、弹性成像、超声造影和人工智能技术辅助超声BI-RADS精准分类的研究进展进行综述。The breast imaging reporting and data system(BI-RADS)suggests that pathological examination should be made for 4 aand above tumors,but the malignant rate of biopsy is low,indicating that improving the specificity of BI-RADS is necessary.Ultrasound is one of the most common breast imaging methods in China,and the diagnostic results are essential for clinical decision making.The recent researches on superb microvascular imaging(SMI),automatic breast volume scanner(ABVS),elastography,contrast-enhanced ultrasound(CEUS)and artificial intelligence-assisted BI-RADS classification were reviewed in this article.

关 键 词：乳腺肿瘤 乳腺影像报告和数据系统 超声检查 

分 类 号：R445.1[医药卫生—影像医学与核医学] R737.9[医药卫生—诊断学]