Application of contrast-enhanced ultrasound with BI-RADS in the diagnosis of benign and malignant breast non-mass-like lesions

GAO Feng; JIA Chao; LI Gang; SHI Qiusheng; WU Rong; JIN Lifang; DU Lianfang

doi:10.19732/j.cnki.2096-6210.2020.06.001

您当前的位置：

首页 >

文章列表页 >

Application of contrast-enhanced ultrasound with BI-RADS in the diagnosis of benign and malignant breast non-mass-like lesions

更新时间：2025-12-15

- Application of contrast-enhanced ultrasound with BI-RADS in the diagnosis of benign and malignant breast non-mass-like lesions
- Vol. 29, Issue 6, Pages: 525-530(2020)
- 作者机构：
- 作者简介：
- 基金信息：
- DOI：10.19732/j.cnki.2096-6210.2020.06.001
  CLC：
- Published Online：28 December 2020，
  
  Published：28 December 2020
- 稿件说明：
移动端阅览
高峰,贾超,李刚,等. 超声造影BI-RADS分类诊断乳腺非肿块型病变良恶性的应用研究[J]. 肿瘤影像学, 2020, 29(6): 525-530 https://doi.

org/10.19732/j.cnki.2096-6210.2020.06.001
高峰,贾超,李刚,等. 超声造影BI-RADS分类诊断乳腺非肿块型病变良恶性的应用研究[J]. 肿瘤影像学, 2020, 29(6): 525-530 https://doi. DOI： 10.19732/j.cnki.2096-6210.2020.06.001.

org/10.19732/j.cnki.2096-6210.2020.06.001 DOI：

摘要

目的：

探讨采用超声造影乳腺影像报告和数据系统（Breast Imaging Reporting and Date System，BI-RADS）分类对乳腺非肿块型病变（non-mass-like lesion，NML）良恶性的诊断价值。

方法：

收集2017年10月2019年5月就诊经超声诊断为乳腺NML的患者182例。行常规超声对所有病灶进行BI-RADS分类，并行超声造影检查。分析超声造影特征并以穿刺或手术后病理学检查结果为金标准，建立以超声造影特征为变量的logistic回归方程。依据超声造影特征对所有病灶进行BI-RADS分类。比较常规超声和超声造影的BI-RADS分类结果及诊断效能。

结果：

乳腺良恶性NML的超声造影特征在增强强度、增强后病灶大小、病灶显影时间、病灶周围放射状增强、有无穿支血管方面差异有统计学意义（

＜0.05）。常规超声与超声造影的分类结果差异有统计学意义（

＜0.05）。常规超声BI-RADS分类诊断恶性病变的灵敏度、特异度、准确度、阳性预测值、阴性预测值分别为75.28%、56.98%、65.93%、62.62%、70.67%，曲线下面积为0.661（95% CI：0.582~0.741）；超声造影BI-RADS分类诊断恶性病变的灵敏度、特异度、准确度、阳性预测值、阴性预测值分别为93.26%、74.19%、83.52%、76.15%、92.00%，曲线下面积为0.837（95% CI：0.775~0.899）。

结论：

超声造影BI-RADS分类能够提高对乳腺NML良恶性的诊断效能，减少穿刺，有助于临床决策。

Abstract

Objective:

To explore the diagnostic value of contrast-enhanced ultrasound (CEUS) with Breast Imaging Reporting and Date System (BI-RADS) classification in the diagnosis of benign and malignant breast non-mass-like lesion (NML).

Methods:

A total of 182 cas

es of NML diagnosed by ultrasound were included. After classified by BI-RADS

all the lesions underwent CEUS. Multivariate logistic regression models were established for CEUS to diagnose breast malignancy. And then classified by BI-RADS according to the characteristics of CEUS thus compared with conventional ultrasound BI-RADS. The diagnostic performance of BI-RADS were compared between conventional ultrasound and CEUS.

Results:

The CEUS features of benign and malignant NML were significantly different in terms of enhancement intensity

lesions sizes after enhancement

enhancement time

peripheral radial enhancement

and visualization of penetrating vessel (

＜0.05). The BI-RADS classification between conventional ultrasound and CEUS were different significantly (

＜0.05). The sensitivity

specificity

accuracy

positive predictive value (PPV)

and negative predictive value (NPV) of the conventional ultrasound BI-RADS in diagnosis of malignant lesions were 75.28%

56.98%

65.93%

62.62% and 70.67%

respectively (area under curve=0.661; 95% CI: 0.582-0.741). The sensitivity

specificity

accuracy

PPV

and NPV of CEUS BI-RADS in diagnosis of malignant lesions were 93.26%

74.19%

83.52%

76.15% and 92.00%

respectively (area under curve=0.837; 95% CI: 0.775-0.899).

Conclusion:

CEUS with BI-RADS classification can remarkably improve the diagnosis efficacy of benign and malignant breast NML

reduce biopsy and contribute to clinical management.

关键词

Keywords

references

Views

1553

下载量

CNKI被引量

Alert me when the article has been cited

提交

Tools

Publicity Resources

A preliminary study on the application of Sonazoid contrast-enhanced ultrasound in improving the detection rate of liver nodules

Research on a prediction model for superficial lymphoma based on multimodal ultrasound radiomics

Contrast-enhanced ultrasound findings of gallbladder adenosquamous carcinoma: a case report

A study of the diagnostic efficacy of multi-parametric ultrasonography in the mucinous breast carcinoma

The application value of gastric oral contrast-enhanced ultrasound and gastroscopy in early diagnosis of gastric diseases in community hospitals

Related Author

WU Yi

HUANG Tianjiao

WEN Baojie

YU Pengli

KONG Wentao

XU Jianhua

NIE Fang

Chen ZHAO

Related Institution

Department of Ultrasound, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University

Department of Ultrasonography, Lanzhou University Second Hospital

Department of Ultrasound, Putuo Hospital, Shanghai University of Traditional Chinese Medicine

Department of Ultrasound, Zhongshan Hospital of Fudan University

Department of Ultrasound, Zhongshan Hospital (Xiamen Branch), Fudan University

AI问答

⁰