欢迎访问《中国医学影像技术》网站。

2025-06-14 星期六
首页 | 本刊简介 | 编委会 | 收录情况 | 投稿须知 | 期刊订阅 | 科学家精神 | 科学数据银行 | 广告招商

邢博缘,刘小慧,赵云,平杰,张玲,刘捷,刘冬婷.超声弹性成像联合乳腺影像报告和数据系统(BI-RADS)分类诊断非肿块型乳腺癌[J].中国医学影像技术,2021,37(8):1154~1157

超声弹性成像联合乳腺影像报告和数据系统(BI-RADS)分类诊断非肿块型乳腺癌

Ultrasonic elastography combined with breast imaging reporting and date system (BI-RADS) classification in diagnosis of nonpalpable breast cancer

投稿时间：2020-02-05 修订日期：2021-06-01

DOI：10.13929/j.issn.1003-3289.2021.08.009

中文关键词: 乳腺肿瘤弹性成像技术乳腺影像报告和数据系统

英文关键词:breast neoplasms elasticity imaging techniques breast imaging reporting and data system

基金项目:

作者	单位	E-mail
邢博缘	三峡大学医学院, 湖北宜昌 443000 三峡大学人民医院超声科, 湖北宜昌 443000
刘小慧	三峡大学医学院, 湖北宜昌 443000
赵云	三峡大学医学院, 湖北宜昌 443000	zhaoyun@ctgu.edu.cn
平杰	三峡大学人民医院超声科, 湖北宜昌 443000
张玲	三峡大学人民医院超声科, 湖北宜昌 443000
刘捷	三峡大学人民医院超声科, 湖北宜昌 443000
刘冬婷	三峡大学人民医院超声科, 湖北宜昌 443000

摘要点击次数: 3484

全文下载次数: 694

中文摘要:

目的探讨超声弹性成像（UE）技术联合乳腺影像报告和数据系统（BI-RADS）分类对非肿块型乳腺癌的诊断价值。方法回顾性分析48例经二维超声及UE诊断、并经病理学证实的局灶性非肿块型乳腺病变患者（共53个病灶），以手术或穿刺活检病理结果作为金标准，评价超声弹性技术、BI-RADS分类及二者联合诊断非肿块型乳腺癌的价值。结果 53个病灶中，良性21个，恶性32个。UE诊断敏感度、特异度、准确率分别为68.75%、71.43%和69.81%；BI-RADS分类诊断敏感度、特异度和准确率分别为62.50%、66.67%和64.15%（P均>0.05）；UE联合BI-RADS分类的诊断敏感度、特异度、准确率分别为81.25%、80.95%和81.13%，均高于单一UE或BI-RADS分类（P均<0.05）。结论 UE联合BI-RADS分类能提高诊断非肿块型乳腺癌的敏感度、特异度和准确率。

英文摘要:

Objective To explore the value of ultrasonic elastography (UE) combined with breast imaging reporting and date system (BI-RADS) classification in diagnosis of nonpalpable breast cancer. Methods Data of 48 patients with 53 focal non-lump breast lesions diagnosed with two-dimensional ultrasound and UE and proved pathologically were retrospectively analyzed. Taken surgical or biopsy pathologic results as the golden standards, the value of UE, BI-RADS classification and the combination of these 2 methods for diagnosing nonpalpable breast cancer were evaluated. Results Among 53 lesions, 21 were benign and 32 were malignant. The sensitivity, specificity and accuracy of UE was 68.75%, 71.43% and 69.81%, of BI-RADS classification was 62.50%, 66.67% and 64.15%, respectively (all P>0.05). The sensitivity, specificity and accuracy of UE combined with BI-RADS classification was 81.25%, 80.95% and 81.13%, all higher than those of UE or BI-RADS classification alone (all P<0.05). Conclusion UE combined with BI-RADS classification could improve the sensitivity, specificity and accuracy of diagnosis of non-lump breast cancer.

查看全文查看/发表评论下载PDF阅读器