• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

相似文献

1
The role of contrast-enhanced ultrasound in the diagnosis of malignant non-mass breast lesions and exploration of diagnostic criteria.超声造影在诊断恶性非肿块型乳腺病变中的作用及诊断标准探讨。
Br J Radiol. 2021 Apr 1;94(1120):20200880. doi: 10.1259/bjr.20200880. Epub 2021 Feb 9.
2
Breast non-mass-like lesions on contrast-enhanced ultrasonography: Feature analysis, breast image reporting and data system classification assessment.超声造影下乳腺非肿块样病变:特征分析、乳腺影像报告和数据系统分类评估
World J Clin Cases. 2020 Feb 26;8(4):700-712. doi: 10.12998/wjcc.v8.i4.700.
3
The kinetic quantitative characteristics of non-mass breast lesions with contrast-enhanced ultrasound: a prospective study.超声造影对非肿块型乳腺病变的定量血流动力学特征研究:前瞻性研究。
Br J Radiol. 2023 Dec;96(1152):20221002. doi: 10.1259/bjr.20221002. Epub 2023 Oct 24.
4
Incorporating Contrast-Enhanced Ultrasound into the BI-RADS Scoring System Improves Accuracy in Breast Tumor Diagnosis: A Preliminary Study in China.将超声造影纳入BI-RADS评分系统可提高乳腺肿瘤诊断的准确性:一项中国的初步研究。
Ultrasound Med Biol. 2016 Nov;42(11):2630-2638. doi: 10.1016/j.ultrasmedbio.2016.07.005. Epub 2016 Aug 17.
5
A Prospective Multicenter Study on the Additive Value of Contrast-Enhanced Ultrasound for Biopsy Decision of Ultrasound BI-RADS 4 Breast Lesions.对比增强超声在超声 BI-RADS 4 类乳腺病变活检决策中附加价值的前瞻性多中心研究。
Ultrasound Med Biol. 2024 Aug;50(8):1224-1231. doi: 10.1016/j.ultrasmedbio.2024.04.010. Epub 2024 May 24.
6
Diagnosis of sub-centimetre breast lesions: combining BI-RADS-US with strain elastography and contrast-enhanced ultrasound-a preliminary study in China.乳腺亚厘米级病变的诊断:联合乳腺影像报告和数据系统-超声(BI-RADS-US)、应变弹性成像及超声造影在中国的初步研究
Eur Radiol. 2017 Jun;27(6):2443-2450. doi: 10.1007/s00330-016-4628-4. Epub 2016 Oct 19.
7
The Application Value of Using Semiquantitative and Quantitative Parameters in Multimodal Ultrasound to Distinguish Between Benign and Malignant BI-RADS 4 Lesions.半定量和定量参数在多模态超声鉴别 BI-RADS 4 良恶性病变中的应用价值。
Ultrasound Q. 2024 Jul 5;40(3). doi: 10.1097/RUQ.0000000000000686. eCollection 2024 Sep 1.
8
Predictive value of contrast-enhanced ultrasonography and ultrasound elastography for management of BI-RADS category 4 nonpalpable breast masses.超声造影及超声弹性成像对 BI-RADS 分类 4 类触诊阴性乳腺肿块的预测价值。
Eur J Radiol. 2024 Apr;173:111391. doi: 10.1016/j.ejrad.2024.111391. Epub 2024 Feb 28.
9
Application of contrast-enhanced ultrasound in the diagnosis of small breast lesions.超声造影在乳腺小病灶诊断中的应用
Clin Hemorheol Microcirc. 2018;70(3):291-300. doi: 10.3233/CH-170368.
10
Value of Contrast-Enhanced Microflow Imaging in Diagnosis of Breast Masses in Comparison with Contrast-Enhanced Ultrasound.对比增强微血流成像在乳腺肿块诊断中的价值与对比增强超声的比较。
Acad Radiol. 2024 Jun;31(6):2217-2227. doi: 10.1016/j.acra.2023.11.021. Epub 2023 Dec 8.

引用本文的文献

1
A risk prediction stratification for non-mass breast lesions, combining clinical characteristics and imaging features on ultrasound, mammography, and MRI.一种针对非肿块性乳腺病变的风险预测分层方法,结合了超声、乳腺X线摄影和MRI的临床特征及影像特征。
Front Oncol. 2024 Oct 17;14:1337265. doi: 10.3389/fonc.2024.1337265. eCollection 2024.
2
Approach to Nonmass Lesions on Breast Ultrasound.乳腺超声非肿块性病变的处理方法
Indian J Radiol Imaging. 2024 Feb 23;34(4):677-687. doi: 10.1055/s-0044-1779589. eCollection 2024 Oct.
3
Current status and future perspectives of contrast-enhanced ultrasound diagnosis of breast lesions.乳腺病变超声造影诊断的现状与展望。
J Med Ultrason (2001). 2024 Oct;51(4):611-625. doi: 10.1007/s10396-024-01486-0. Epub 2024 Aug 23.
4
Contrast-enhanced ultrasound-guided biopsy of suspicious breast lesions on contrast-enhanced mammography and contrast-enhanced MRI: a case series.对比增强超声引导下对比增强乳腺摄影和对比增强 MRI 可疑乳腺病变活检:病例系列。
J Med Ultrason (2001). 2023 Oct;50(4):521-529. doi: 10.1007/s10396-023-01345-4. Epub 2023 Jul 26.
5
Determining whether the diagnostic value of B-ultrasound combined with contrast-enhanced ultrasound and shear wave elastography in breast mass-like and non-mass-like lesions differs: a diagnostic test.确定B超联合超声造影及剪切波弹性成像在乳腺肿块样和非肿块样病变中的诊断价值是否存在差异:一项诊断试验。
Gland Surg. 2023 Feb 28;12(2):282-296. doi: 10.21037/gs-23-51. Epub 2023 Feb 24.
6
Non-mass Breast Lesions: Could Multimodal Ultrasound Imaging Be Helpful for Their Diagnosis?非肿块性乳腺病变:多模态超声成像对其诊断有帮助吗?
Diagnostics (Basel). 2022 Nov 23;12(12):2923. doi: 10.3390/diagnostics12122923.
7
Ultrasound classification of non-mass breast lesions following BI-RADS presents high positive predictive value.超声 BI-RADS 分类对非肿块性乳腺病变具有较高的阳性预测值。
PLoS One. 2022 Nov 30;17(11):e0278299. doi: 10.1371/journal.pone.0278299. eCollection 2022.
8
Deep Neural Architectures for Contrast Enhanced Ultrasound (CEUS) Focal Liver Lesions Automated Diagnosis.深度神经网络架构在对比增强超声(CEUS)肝脏局灶性病变自动诊断中的应用。
Sensors (Basel). 2021 Jun 16;21(12):4126. doi: 10.3390/s21124126.

本文引用的文献

1
Breast non-mass-like lesions on contrast-enhanced ultrasonography: Feature analysis, breast image reporting and data system classification assessment.超声造影下乳腺非肿块样病变:特征分析、乳腺影像报告和数据系统分类评估
World J Clin Cases. 2020 Feb 26;8(4):700-712. doi: 10.12998/wjcc.v8.i4.700.
2
BI-RADS 4 breast lesions: could multi-mode ultrasound be helpful for their diagnosis?乳腺影像报告和数据系统(BI-RADS)4类乳腺病变:多模式超声对其诊断有帮助吗?
Gland Surg. 2019 Jun;8(3):258-270. doi: 10.21037/gs.2019.05.01.
3
The clinical role of contrast enhanced ultrasound in differential diagnosis of BI-RADS 4 breast disease.超声造影在 BI-RADS 4 类乳腺疾病鉴别诊断中的临床应用价值。
Clin Hemorheol Microcirc. 2019;72(3):293-303. doi: 10.3233/CH-180495.
4
Contrast-Enhanced Ultrasound Imaging of Breast Masses: Adjunct Tool to Decrease the Number of False-Positive Biopsy Results.乳腺肿块的超声造影检查:降低假阳性活检结果数量的辅助工具。
J Ultrasound Med. 2019 Sep;38(9):2259-2273. doi: 10.1002/jum.14917. Epub 2018 Dec 31.
5
Histopathology findings of non-mass cancers on breast ultrasound.乳腺超声检查中非肿块性癌的组织病理学发现。
Acta Radiol Open. 2018 May 29;7(6):2058460118774957. doi: 10.1177/2058460118774957. eCollection 2018 Jun.
6
Non-Mass Breast Lesions on Ultrasound: Feature Exploration and Multimode Ultrasonic Diagnosis.超声检查发现的非肿块性乳腺病变:特征探索与多模态超声诊断
Ultrasound Med Biol. 2018 Aug;44(8):1703-1711. doi: 10.1016/j.ultrasmedbio.2018.05.005. Epub 2018 May 31.
7
Pitfalls of Contrast Enhanced Ultrasound (CEUS) in determination of breast tumor biological dignity.增强超声(CEUS)在确定乳腺肿瘤生物学特性方面的局限性。
Neoplasma. 2018;65(1):124-131. doi: 10.4149/neo_2018_170116N43.
8
B-Mode Ultrasound Combined with Color Doppler and Strain Elastography in the Diagnosis of Non-mass Breast Lesions: A Prospective Study.B超联合彩色多普勒及应变弹性成像在非肿块型乳腺病变诊断中的应用:一项前瞻性研究
Ultrasound Med Biol. 2017 Nov;43(11):2582-2590. doi: 10.1016/j.ultrasmedbio.2017.07.014. Epub 2017 Aug 26.
9
Diagnostic and prognostic values of contrast-enhanced ultrasound in breast cancer: a retrospective study.超声造影在乳腺癌中的诊断及预后价值:一项回顾性研究
Onco Targets Ther. 2017 Feb 22;10:1123-1129. doi: 10.2147/OTT.S124134. eCollection 2017.
10
Non-mass breast lesions on ultrasound: final outcomes and predictors of malignancy.超声检查发现的非肿块性乳腺病变:最终结局及恶性肿瘤预测因素
Acta Radiol. 2017 Sep;58(9):1054-1060. doi: 10.1177/0284185116683574. Epub 2017 Jan 23.

超声造影在诊断恶性非肿块型乳腺病变中的作用及诊断标准探讨。

The role of contrast-enhanced ultrasound in the diagnosis of malignant non-mass breast lesions and exploration of diagnostic criteria.

机构信息

Department of Ultrasound, Shanghai General Hospital of Nanjing Medical University, Shanghai, China.

Department of Ultrasound, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.

出版信息

Br J Radiol. 2021 Apr 1;94(1120):20200880. doi: 10.1259/bjr.20200880. Epub 2021 Feb 9.

DOI:10.1259/bjr.20200880
PMID:33560894
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8010562/
Abstract

OBJECTIVES

To assess the value of contrast-enhanced ultrasound (CEUS) for diagnosing malignant non-mass breast lesions (NMLs) and to explore the CEUS diagnostic criteria.

METHODS

A total of 116 patients with 119 NMLs detected by conventional US were enrolled. Histopathological results were used as the reference standard. The enhancement characteristics of NMLs in CEUS were compared between malignant and benign NMLs. The CEUS diagnostic criteria for malignant NMLs were established using independent diagnostic indicators identified by binary logistic regression analysis. The diagnostic performance of Breast Imaging Reporting and Data System-US (BI-RADS-US), CEUS, and BI-RADS-US combined with CEUS was evaluated and compared.

RESULTS

Histopathological results showed 63 and 56 benign and malignant NMLs. Enhancement degree (OR = 5.75, = 0.003), enhancement area (OR = 4.25, = 0.005), and radial or penetrating vessels (OR = 7.54, = 0.003) were independent diagnostic indicators included to establish the CEUS diagnostic criteria. The sensitivity and specificity of BI-RADS-US, CEUS, and BI-RADS-US combined with CEUS were 100 and 30.2%, 80.4 and 74.6%, and 94.6 and 77.8%, respectively; the corresponding areas under the receiver operating characteristic curve (AUC) were 0.819, 0.775, and 0.885, respectively.

CONCLUSIONS

CEUS has a high specificity in malignant NML diagnosis based on the diagnostic criteria including enhancement degree, enhancement area, and radial or penetrating vessels, but with lower sensitivity than BI-RADS-US. The combination of CEUS and BI-RADS-US is an effective diagnostic tool with both high sensitivity and specificity for the diagnosis of malignant NMLs.

ADVANCES IN KNOWLEDGE

In this study, we assessed the diagnostic value of CEUS for malignant NMLs and constructed a feasible diagnostic criterion. We further revealed that the combination of CEUS and BI-RADS-US has a high diagnostic value for malignant NMLs.

摘要

目的

评估超声造影(CEUS)诊断恶性非肿块型乳腺病变(NML)的价值,并探讨 CEUS 诊断标准。

方法

共纳入 116 例经常规超声检出的 119 个 NML 患者。以病理结果为参照标准,对比分析良、恶性 NML 的 CEUS 增强特征。采用二元逻辑回归分析确定独立诊断指标,建立恶性 NML 的 CEUS 诊断标准。评估并比较乳腺影像报告和数据系统-US(BI-RADS-US)、CEUS 及 BI-RADS-US 联合 CEUS 的诊断效能。

结果

病理结果显示良性和恶性 NML 分别为 63 个和 56 个。增强程度(OR=5.75, =0.003)、增强面积(OR=4.25, =0.005)和放射状或穿透状血管(OR=7.54, =0.003)是建立 CEUS 诊断标准的独立诊断指标。BI-RADS-US、CEUS 和 BI-RADS-US 联合 CEUS 的敏感度和特异度分别为 100%和 30.2%、80.4%和 74.6%、94.6%和 77.8%,相应的受试者工作特征曲线(AUC)下面积分别为 0.819、0.775 和 0.885。

结论

根据增强程度、增强面积和放射状或穿透状血管等诊断标准,CEUS 对恶性 NML 诊断具有较高的特异性,但敏感度低于 BI-RADS-US。CEUS 联合 BI-RADS-US 是一种有效的诊断工具,对恶性 NML 诊断具有较高的敏感度和特异度。

知识进展

本研究评估了 CEUS 对恶性 NML 的诊断价值,并构建了一种可行的诊断标准。进一步揭示了 CEUS 联合 BI-RADS-US 对恶性 NML 具有较高的诊断价值。