乳腺背景超声分型与弹性成像联合诊断BI-RADS 4类病变

doi:DOI:10.12117/jccmi.2018.08.011

摘要
图/表
参考文献
相关文章 (15)

全文: PDF (1022 KB) HTML (1 KB)
输出: BibTeX | EndNote (RIS)

摘要目的：探讨乳腺背景超声分型与超声弹性成像（UE）联合诊断乳腺BI-RADS 4类病变的价值。方法：86例乳腺病例的103个病灶，BI-RADS分类均评估为4类，根据乳腺背景超声分型及UE评分对BI-RADS分类进行调整，绘制ROC曲线，比较单纯运用BI-RADS与BI-RADS+乳腺背景超声+UE联合的诊断效能。结果：103个病灶中，良性病灶66个，恶性病灶37个。BI-RADS分类、BI-RADS+乳腺背景超声+UE联合诊断乳腺恶性病灶的敏感性分别为75.7%、91.9%，特异性分别为62.1%、90.9%，准确性分别为67.0%、91.3%，阳性预测值分别为52.8%、85.0%，阴性预测值分别为82.0%、95.2%，AUC分别为0.689、0.914。BI-RADS+乳腺背景超声+UE联合的特异性、准确性均高于单纯运用BI-RADS标准（P<0.001，P=0.028 7）。结论：BI-RADS+乳腺背景超声+UE联合可显著提高乳腺BI-RADS 4类病变的诊断价值。

	服务

	把本文推荐给朋友
	加入我的书架
	加入引用管理器
	E-mail Alert
	RSS
	作者相关文章
	王博娟
	杨小欢
	王兴华

关键词 ：乳腺肿瘤, 超声检查, 乳房

Abstract：Objective: To investigate the value of breast imaging reporting and data system(BI-RADS) combined with the breast ultrasound types together with ultrasound elastography(UE) in the diagnosis of BI-RADS 4 breast lesions. Methods: Eighty-six patients with 103 breast lesions were analyzed and classified by BI-RADS for BI-RADS 4, to correct classification based on the breast ultrasound types and the score of UE. Then draw ROC curve to compare the diagnostic efficiency in breast lesions by using BI-RADS and using BI-RADS combined with the breast ultrasound types and UE. Results: Of 103 lesions, 66 lesions were benign and 37 lesions were malignant. The sensitivity of BI-RADS and BI-RADS+the breast ultrasound types+UE in the diagnosis of breast cancer was 75.7% and 91.9%. The specificity of them was 62.1% and 90.9%. The accuracy of them was 67.0% and 91.3%. The positive predictive value of them was 52.8% and 85.0%. The negative predictive value of them was 82.0% and 95.2%. AUC of them was 0.689 and 0.914. In the diagnosis of breast cancer, the specificity and accuracy of BI-RADS+the breast ultrasound types+UE were significantly higher than those of BI-RADS classification(P<0.001, P=0.028 7). Conclusions: The methods of BI-RADS+the breast ultrasound types+UE can significantly improve the value of ultrasound in the diagnosis of BI-RADS 4 breast lesions.

Key words： Breast neoplasms Ultrasonography, mammary

收稿日期: 2017-09-27

PACS:	Ｒ737.9
	Ｒ445.1

通讯作者: 王兴华，山西医科大学第二医院超声科，030001。E-mail：wangxhus@163.com

作者简介: 王博娟（1988-），女，山西运城人，在读硕士研究生。E-mail：601383315@qq.com

引用本文:

王博娟，杨小欢，王兴华. 乳腺背景超声分型与弹性成像联合诊断BI-RADS 4类病变[J]. 中国临床医学影像杂志, 2018, 29(8): 571-574.
WANG Bo-juan, YANG Xiao-huan, WANG Xing-hua. Diagnosis of BI-RADS 4 lesions by using the breast ultrasound types combined with ultrasound elastography. JOURNAL OF CHINA MEDICAL IMAGING, 2018, 29(8): 571-574.

链接本文:

http://www.jccmi.com.cn/CN/DOI:10.12117/jccmi.2018.08.011 或 http://www.jccmi.com.cn/CN/Y2018/V29/I8/571

[1]Desantis CE, Fedewa SA, Goding SA, et al. Breast cancer statistics, 2015: Convergence of incidence rates between black and white women[J]. CA Cancer J Clin, 2016, 66(1): 31-42.
[2]Lee YJ, Choi SY, Kim KS, et al. Variability in Observer Performance Between Faculty Members and Residents Using Breast Imaging Reporting and Data System (BI-RADS)-Ultrasound, Fifth Edition(2013)[J]. Iran J Radiol, 2016, 13(1): 149-155.
[3]Itoh A, Ueno E, Tohno E, et al. Breast disease: clinical application of US elastography for diagnosis[J]. Radiology, 2006, 239(2): 341-350.
[4]郝少云，欧冰，钟文景，等. 弹性成像对新版BI-RADS-US评估乳腺肿物良恶性的价值[J]. 中国超声医学杂志，2015，31（4）：292-295.
[5]郝少云，欧冰，钟文景，等. 超声弹性成像在BI-RADS 4类乳腺肿物中的诊断价值[J]. 中国超声医学杂志，2014，30（4）：303-306.
[6]张丹，金睿，李燕东，等. 女性乳腺的超声分型与乳腺病变的筛查[J]. 中华医学超声杂志：电子版，2010，7（7）：47-50.
[7]Hughes LE, Mansel RE, Webster DJ. Aberrations of normal development and involution(ANDI): a new perspective on pathogenesis and nomenclature of benign breast disorders[J]. Lancet, 1987, 2(8571): 1316-1319.
[8]张丹，金睿，李燕东，等. 超声对乳腺分型与乳腺退化的关系研究[J]. 中华医学超声杂志：电子版，2012，9（5）：58-61.
[9]罗葆明，曾婕，欧冰，等. 乳腺超声弹性成像检查感兴趣区域大小对诊断结果影响[J]. 中国医学影像技术，2007，23（9）：1330-1332.
[10]罗葆明，欧冰，智慧，等. 改良超声弹性成像评分标准在乳腺肿块鉴别诊断中的价值[J]. 中华生物医学工程杂志，2006，12（5）：396-398.
[11]李俊来，史宪全，曹晓林，等. 乳腺病灶硬度不同的病理基础研究[J]. 中国超声医学杂志，2017，33（1）：22-26.
[12]Sigrist RMS, Liau J, Kaffas AE, et al. Ultrasound Elastography: Review of Techniques and Clinical Applications[J]. Theranostics, 2017, 7(5): 1303-1329.
[13]Berg WA, Cosgrove DO, Doré CJ, et al. Shear-wave elastography improves the specificity of breast US: the BE1 multinational study of 939 masses[J]. Radiology, 2012, 262(2): 435-499.
[14]Youk JH, Gweon HM, Son EJ, et al. Diagnostic value of commercially available shear-wave elastography for breast cancers: integration into BI-RADS classification with subcategories of category 4[J]. Eur Radiol, 2013, 23(10): 2695-2704.
[15]Leong LCH, Sim LSJ, Lee YS, et al. A prospective study to compare the diagnostic performance of breast elastography versus conventional breast ultrasound[J]. Clin Radiol, 2010, 65(11): 887-894.
[16]黄一帆，张丹. 乳腺的退化与乳腺癌相关性的研究进展[J]. 中华临床医师杂志：电子版，2016，10（11）：1605-1608.
[17]Henson DE, Tarone RE. On the possible role of involution in the natural history of breast cancer[J]. 1993, 71(S6): 2154-2156.
[18]Brem RF, Lenihan MJ, Lieberman J, et al. Screening breast ultrasound: past, present, and future[J]. AJR, 2015, 204(2): 234-240.
[19]金正吉，詹维伟，贾晓红，等. 女性乳腺超声分型与乳腺肿块良恶性间的相关性[J]. 诊断学理论与实践，2013，12（5）：545-552.