• 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

动态乳腺磁共振成像:信号强度时间过程数据对强化病变的鉴别诊断有用吗?

Dynamic breast MR imaging: are signal intensity time course data useful for differential diagnosis of enhancing lesions?

作者信息

Kuhl C K, Mielcareck P, Klaschik S, Leutner C, Wardelmann E, Gieseke J, Schild H H

机构信息

Department of Radiology, University of Bonn, Germany.

出版信息

Radiology. 1999 Apr;211(1):101-10. doi: 10.1148/radiology.211.1.r99ap38101.

DOI:10.1148/radiology.211.1.r99ap38101
PMID:10189459
Abstract

PURPOSE

To assess the relevance of the signal intensity time course for the differential diagnosis of enhancing lesions in dynamic magnetic resonance (MR) imaging of the breast.

MATERIALS AND METHODS

Two hundred sixty-six breast lesions were examined with a two-dimensional dynamic MR imaging series and subtraction postprocessing. Time-signal intensity curves of the lesions were obtained and classified according to their shapes as type I, which was steady enhancement; type II, plateau of signal intensity; or type III, washout of signal intensity. Enhancement rates and curve types of benign and malignant lesions were compared.

RESULTS

There were 101 malignant and 165 benign lesions. The distribution of curve types for breast cancers was type I, 8.9%; type II, 33.6%; and type III, 57.4%. The distribution of curve types for benign lesions was type I, 83.0%; type II, 11.5%; and type III, 5.5%. The distributions proved significantly different (chi 2 = 139.6; P < .001). The diagnostic indices for signal intensity time course were sensitivity, 91%; specificity, 83%; and diagnostic accuracy, 86%. The diagnostic indices for the enhancement rate were sensitivity, 91%; specificity, 37%; and diagnostic accuracy, 58%.

CONCLUSION

The shape of the time-signal intensity curve is an important criterion in differentiating benign and malignant enhancing lesions in dynamic breast MR imaging. A type III time course is a strong indicator of malignancy and is independent of other criteria.

摘要

目的

评估信号强度时间过程在乳腺动态磁共振成像(MR)中对强化病变鉴别诊断的相关性。

材料与方法

对266个乳腺病变进行二维动态MR成像序列及减影后处理检查。获取病变的时间-信号强度曲线,并根据其形状分为I型(持续强化)、II型(信号强度平台期)或III型(信号强度廓清)。比较良恶性病变的强化率及曲线类型。

结果

有101个恶性病变和165个良性病变。乳腺癌的曲线类型分布为:I型,8.9%;II型,33.6%;III型,57.4%。良性病变的曲线类型分布为:I型,83.0%;II型,11.5%;III型,5.5%。分布差异有统计学意义(χ2 = 139.6;P <.001)。信号强度时间过程的诊断指标为:敏感性91%,特异性83%,诊断准确性86%。强化率的诊断指标为:敏感性91%,特异性37%,诊断准确性58%。

结论

时间-信号强度曲线的形状是动态乳腺MR成像中鉴别良恶性强化病变的重要标准。III型时间过程是恶性的有力指标,且独立于其他标准。

相似文献

1
Dynamic breast MR imaging: are signal intensity time course data useful for differential diagnosis of enhancing lesions?动态乳腺磁共振成像:信号强度时间过程数据对强化病变的鉴别诊断有用吗?
Radiology. 1999 Apr;211(1):101-10. doi: 10.1148/radiology.211.1.r99ap38101.
2
Dynamic bilateral contrast-enhanced MR imaging of the breast: trade-off between spatial and temporal resolution.乳腺动态双侧对比增强磁共振成像:空间分辨率与时间分辨率之间的权衡
Radiology. 2005 Sep;236(3):789-800. doi: 10.1148/radiol.2363040811.
3
Contrast-enhanced MR imaging of the breast at 3.0 and 1.5 T in the same patients: initial experience.同一患者在3.0T和1.5T场强下的乳腺对比增强磁共振成像:初步经验
Radiology. 2006 Jun;239(3):666-76. doi: 10.1148/radiol.2392050509. Epub 2006 Mar 20.
4
Differentiating benign from malignant enhancing lesions identified at MR imaging of the breast: are time-signal intensity curves an accurate predictor?乳腺磁共振成像中鉴别增强病变的良恶性:时间-信号强度曲线是准确的预测指标吗?
Radiology. 1999 Apr;211(1):5-7. doi: 10.1148/radiology.211.1.r99ap395.
5
Enhanced mass on contrast-enhanced breast MR imaging: Lesion characterization using combination of dynamic contrast-enhanced and diffusion-weighted MR images.乳腺对比增强磁共振成像上的强化肿块:利用动态对比增强和扩散加权磁共振图像联合进行病变特征分析
J Magn Reson Imaging. 2008 Nov;28(5):1157-65. doi: 10.1002/jmri.21570.
6
Relationship between lesion size and signal enhancement on subtraction fat-suppressed MR imaging of the breast.乳腺减影脂肪抑制磁共振成像中病变大小与信号增强之间的关系。
Magn Reson Imaging. 2004 Nov;22(9):1259-64. doi: 10.1016/j.mri.2004.09.001.
7
Diagnostic architectural and dynamic features at breast MR imaging: multicenter study.乳腺磁共振成像的诊断性结构和动态特征:多中心研究
Radiology. 2006 Jan;238(1):42-53. doi: 10.1148/radiol.2381042117.
8
Application of computer-aided diagnosis (CAD) in MR-mammography (MRM): do we really need whole lesion time curve distribution analysis?计算机辅助诊断(CAD)在乳腺磁共振成像(MRM)中的应用:我们真的需要全病变时间曲线分布分析吗?
Acad Radiol. 2009 Apr;16(4):435-42. doi: 10.1016/j.acra.2008.10.007.
9
Diagnosis of breast tumors by contrast-enhanced MR imaging: comparison between the diagnostic performance of dynamic enhancement patterns and morphologic features.通过对比增强磁共振成像诊断乳腺肿瘤:动态增强模式与形态学特征诊断性能的比较
J Magn Reson Imaging. 2007 Jan;25(1):104-12. doi: 10.1002/jmri.20812.
10
Dynamic contrast-enhanced subtraction MRI for characterizing intratesticular mass lesions.动态对比增强减影 MRI 用于特征化睾丸内肿块病变。
AJR Am J Roentgenol. 2013 Mar;200(3):578-85. doi: 10.2214/AJR.12.9064.

引用本文的文献

1
Classification of liver lesions based on temporal changes in hepatobiliary phase contrast on magnetic resonance imaging: a preliminary study.基于磁共振成像肝胆期对比剂时间变化的肝脏病变分类:一项初步研究。
Radiol Phys Technol. 2025 Sep 5. doi: 10.1007/s12194-025-00933-y.
2
Dynamic contrast-enhanced MRI-based radiomics model of intra-tumoral kinetic heterogeneity for predicting breast cancer molecular subtypes.基于动态对比增强磁共振成像的瘤内动力学异质性放射组学模型预测乳腺癌分子亚型
Front Mol Biosci. 2025 Jul 18;12:1635296. doi: 10.3389/fmolb.2025.1635296. eCollection 2025.
3
A Machine-Learning Model for the Prediction of Triple-Negative Breast Cancer Based on Multiparameter MRI.
基于多参数磁共振成像的三阴性乳腺癌预测机器学习模型
Breast Cancer (Dove Med Press). 2025 Jul 15;17:611-625. doi: 10.2147/BCTT.S513779. eCollection 2025.
4
MRI radiomics for diagnosing small BI-RADS 4 breast lesions: an interpretable model.用于诊断BI-RADS 4级小乳腺病变的MRI影像组学:一种可解释模型
Quant Imaging Med Surg. 2025 Jun 6;15(6):5060-5072. doi: 10.21037/qims-24-1893. Epub 2025 May 23.
5
A simplified method for generating maximum slope maps in ultrafast dynamic contrast-enhanced breast magnetic resonance imaging.一种在超快动态对比增强乳腺磁共振成像中生成最大斜率图的简化方法。
Radiol Phys Technol. 2025 Jul 1. doi: 10.1007/s12194-025-00931-0.
6
Simulating dynamic tumor contrast enhancement in breast MRI using conditional generative adversarial networks.使用条件生成对抗网络模拟乳腺MRI中的动态肿瘤对比增强。
J Med Imaging (Bellingham). 2025 Nov;12(Suppl 2):S22014. doi: 10.1117/1.JMI.12.S2.S22014. Epub 2025 Jun 28.
7
Alterations in the Temporal Variation and Spatial Distribution of Blood-Brain Barrier Permeability Following Electromagnetic Pulse Radiation: A Study Based on Dynamic Contrast-Enhanced MRI.电磁脉冲辐射后血脑屏障通透性的时间变化和空间分布改变:基于动态对比增强磁共振成像的研究
Brain Sci. 2025 May 27;15(6):577. doi: 10.3390/brainsci15060577.
8
Can a low b-value diffusion-weighted imaging sequence replace the standard T2-weighted fluid-sensitive sequence in breast MRI? A single-center prospective study.在乳腺磁共振成像中,低b值扩散加权成像序列能否取代标准的T2加权液体敏感序列?一项单中心前瞻性研究。
Eur Radiol. 2025 May 7. doi: 10.1007/s00330-025-11624-y.
9
Improving the diagnostic performance of contrast-enhanced mammography through lesion conspicuity and enhancement quantification.通过病变清晰度和增强量化提高对比增强乳腺摄影的诊断性能。
Eur Radiol. 2025 Apr 3. doi: 10.1007/s00330-025-11501-8.
10
Breast cancer with medullary features shows a fast and plateau enhancement pattern on magnetic resonance images: A case report.具有髓样特征的乳腺癌在磁共振图像上表现出快速上升和平台期强化模式:病例报告。
Radiol Case Rep. 2025 Mar 15;20(6):2719-2722. doi: 10.1016/j.radcr.2025.02.099. eCollection 2025 Jun.