标题：多模态超声诊断乳腺良恶性肿块的研究进展

      作者：邢博缘 1 综述 赵云 2 审校    1.三峡大学人民医院超声影像科，湖北 宜昌 443000；2.三峡大学医学院，湖北 宜昌 443000

      卷次： 2019年30卷21期

      【摘要】 超声作为检查诊断乳腺肿块的首选影像学方法，可快速评估乳腺肿块大小、形态、内部结构及腋窝淋巴结情况等，但遇到乳腺病灶组织与正常组织之间的回声相近时两者常难以区分，造成诊断困难。新发展的自动乳腺全容积成像技术可以清晰展示病变的结构及形态，超声造影技术可显示常规超声无法显示的微小血管，弹性成像可实时定性定量显示乳腺肿块的软硬度信息，超声萤火虫技术可清楚识别乳腺肿块中的微钙化，S-Detect技术可自动分析乳腺肿块包括内部结构、边界、形态等各种灰阶超声图像信息，快速得出肿块的良恶性诊断。这些超声新技术联合运用可提高乳腺肿块良恶性的鉴别诊断。本文对多模态超声诊断乳腺良恶性肿块的现状及进展进行综述。
      【关键词】 乳腺肿块；超声造影；萤火虫技术；弹性成像技术；S-Detect技术
      【中图分类号】 R445.1 【文献标识码】 A 【文章编号】 1003—6350（2019）21—2831—04

Progress on the application of multimodal ultrasound technologies in diagnosis of breast masses.
XING Bo-yuan 1,ZHAO Yun 2. 1. Department of Ultrasound Medicine, the People's Hospital of China Three Gorges University; 2. Medical College ofChina Three Gorges University, Yichang 443000, Hubei, CHINA【Abstract】 Ultrasonography is considered as the preferred imaging method for diagnosing breast masses. It canbe quickly located to assess the size, shape, internal structure and axillary lymph nodes. The new development automaticbreast full volume imaging technology clearly shows the structure and morphology of the lesion; ultrasound contrast canshow tiny blood vessels that conventional ultrasound cannot display; elasticity imaging technologies can accurately andquantitatively display the softness information of breast masses; micro pure technology can clearly identify micro-calcifi-cation in breast masses; S-Detect technology can automatic analysis breast masses including internal structure, boundary,morphology and other gray-scale ultrasound image information, and can quickly get the diagnosis of benign and malig-nant tumors. These new ultrasound techniques can improve the differential diagnosis of benign and malignant breastmasses. This article reviews the current situation and progress of multimodal ultrasound in the diagnosis of benign andmalignant breast masses.
      【Key words】 Breast masses; Ultrasound contrast; Micro pure technology; Elasticity imaging technology; S-De-tect technology·综述·doi:10.3969/j.issn.1003-6350.2019.21.033