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声辐射力脉冲弹性成像在乳腺影像报告和数据系统分类 4 类乳腺病变中的应用。

Acoustic radiation force impulse elastography of breast imaging reporting and data system category 4 breast lesions.

机构信息

Department of Ultrasound, Affiliated Hospital of Guangdong Medical College, Zhanjiang, Guangdong, China.

出版信息

Clin Breast Cancer. 2012 Dec;12(6):420-7. doi: 10.1016/j.clbc.2012.07.007. Epub 2012 Sep 20.

DOI:10.1016/j.clbc.2012.07.007
PMID:22999914
Abstract

INTRODUCTION

This population-based study on early breast cancer detection in women aimed to evaluate acoustic radiation force impulse elastography to differentiate BI-RADS (Breast Imaging Reporting and Data System) category 4 lesions.

METHODS

Acoustic radiation force impulse was performed on 95 patients with 122 BI-RADS 4 breast lesions diagnosed by conventional ultrasound. We calculated the area ratio of lesions by using virtual touch tissue imaging and gray-scale imaging. By using virtual touch tissue quantification, we calculated the ratio of shear wave velocity (SWV) in lesions and in surrounding glandular tissue at the same depth (SWV ratio).

RESULTS

The mean area ratio of benign lesions (1.09 ± 0.17) differed from that of the malignant lesions (1.96 ± 0.64; P < .001). The mean SWV ratio of benign lesions (2.44 ± 1.27) was lower than that of malignant lesions (5.74 ± 1.68; P < .001). The cutoff for the area and SWV ratios for malignancy were estimated to be 1.37 and 3.65, respectively.

CONCLUSIONS

Acoustic radiation force impulse provides quantitative elasticity measurements, which, combined with conventional ultrasound, can potentially improve the diagnostic accuracy of BI-RADS 4 breast lesions, and it is helpful to regulate the BI-RADS classification and avoid the need for unnecessary biopsies.

摘要

简介

本项基于人群的研究旨在评估声辐射力脉冲弹性成像(ARFI)在区分 BI-RADS(乳腺影像报告和数据系统)4 类病变中的作用,以用于早期乳腺癌检测。

方法

对 95 例经常规超声诊断为 BI-RADS 4 类的 122 个乳腺病变患者进行声辐射力脉冲检查。我们通过虚拟触诊组织成像和灰阶成像计算病变的面积比。通过虚拟触诊组织量化,计算相同深度病变与周围腺体组织的剪切波速度(SWV)比值(SWV 比值)。

结果

良性病变的平均面积比(1.09 ± 0.17)与恶性病变的面积比(1.96 ± 0.64;P <.001)不同。良性病变的平均 SWV 比值(2.44 ± 1.27)低于恶性病变的 SWV 比值(5.74 ± 1.68;P <.001)。恶性病变的面积和 SWV 比值的截断值估计分别为 1.37 和 3.65。

结论

声辐射力脉冲提供了定量弹性测量,结合常规超声,可能提高 BI-RADS 4 类乳腺病变的诊断准确性,有助于规范 BI-RADS 分类,避免不必要的活检。

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