• 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

磁共振灌注成像在乳腺癌中的应用。

Magnetic Resonance Perfusion Imaging for Breast Cancer.

机构信息

Department of Radiology, Advanced Imaging Research Center, UT Southwestern Medical Center, Dallas, TX 75390, USA.

Department of Radiology, Advanced Imaging Research Center, UT Southwestern Medical Center, Dallas, TX 75390, USA.

出版信息

Magn Reson Imaging Clin N Am. 2024 Feb;32(1):135-150. doi: 10.1016/j.mric.2023.09.012. Epub 2023 Oct 19.

DOI:10.1016/j.mric.2023.09.012
PMID:38007276
Abstract

Breast cancer is the most frequently diagnosed cancer among women worldwide, carrying a significant socioeconomic burden. Breast cancer is a heterogeneous disease with 4 major subtypes identified. Each subtype has unique prognostic factors, risks, treatment responses, and survival rates. Advances in targeted therapies have considerably improved the 5-year survival rates for primary breast cancer patients largely due to widespread screening programs that enable early detection and timely treatment. Imaging techniques are indispensable in diagnosing and managing breast cancer. While mammography is the primary screening tool, MRI plays a significant role when mammography results are inconclusive or in patients with dense breast tissue. MRI has become standard in breast cancer imaging, providing detailed anatomic and functional data, including tumor perfusion and cellularity. A key characteristic of breast tumors is angiogenesis, a biological process that promotes tumor development and growth. Increased angiogenesis in tumors generally indicates poor prognosis and increased risk of metastasis. Dynamic contrast-enhanced (DCE) MRI measures tumor perfusion and serves as an in vivo metric for angiogenesis. DCE-MRI has become the cornerstone of breast MRI, boasting a high negative-predictive value of 89% to 99%, although its specificity can vary. This review presents a thorough overview of magnetic resonance (MR) perfusion imaging in breast cancer, focusing on the role of DCE-MRI in clinical applications and exploring emerging MR perfusion imaging techniques.

摘要

乳腺癌是全球女性最常见的癌症,给社会经济带来了重大负担。乳腺癌是一种异质性疾病,可分为 4 种主要亚型。每种亚型都有独特的预后因素、风险、治疗反应和生存率。靶向治疗的进步大大提高了原发性乳腺癌患者的 5 年生存率,这主要得益于广泛的筛查计划,使早期发现和及时治疗成为可能。影像学技术在诊断和管理乳腺癌中不可或缺。虽然乳腺 X 线摄影是主要的筛查工具,但在乳腺 X 线摄影结果不确定或乳腺组织致密的患者中,磁共振成像(MRI)发挥着重要作用。MRI 已成为乳腺癌成像的标准,提供详细的解剖和功能数据,包括肿瘤灌注和细胞密度。乳腺癌肿瘤的一个关键特征是血管生成,这是促进肿瘤发展和生长的生物学过程。肿瘤内血管生成增加通常预示着预后不良和转移风险增加。动态对比增强(DCE)MRI 测量肿瘤灌注,是血管生成的体内指标。DCE-MRI 已成为乳腺 MRI 的基石,具有 89%至 99%的高阴性预测值,尽管其特异性可能有所不同。本文全面综述了乳腺癌的磁共振(MR)灌注成像,重点介绍 DCE-MRI 在临床应用中的作用,并探讨了新兴的 MR 灌注成像技术。

相似文献

1
Magnetic Resonance Perfusion Imaging for Breast Cancer.磁共振灌注成像在乳腺癌中的应用。
Magn Reson Imaging Clin N Am. 2024 Feb;32(1):135-150. doi: 10.1016/j.mric.2023.09.012. Epub 2023 Oct 19.
2
Evaluating the Relationship Between Dynamic Contrast-Enhanced MRI (DCE-MRI) Parameters and Pathological Characteristics in Breast Cancer.评估动态对比增强磁共振成像(DCE-MRI)参数与乳腺癌病理特征之间的关系。
J Magn Reson Imaging. 2020 Nov;52(5):1360-1373. doi: 10.1002/jmri.27241. Epub 2020 Jun 10.
3
Value of dynamic contrast-enhanced magnetic resonance imaging in combination with mammography for screening early-stage breast cancer.动态对比增强磁共振成像结合乳腺 X 线摄影在早期乳腺癌筛查中的价值。
Afr Health Sci. 2023 Jun;23(2):290-297. doi: 10.4314/ahs.v23i2.33.
4
Detection of breast malignancy: diagnostic MR protocol for improved specificity.乳腺恶性肿瘤的检测:提高特异性的诊断性磁共振成像方案
Radiology. 2004 Aug;232(2):585-91. doi: 10.1148/radiol.2322030547. Epub 2004 Jun 17.
5
Atypical ductal hyperplasia: breast DCE-MRI can be used to reduce unnecessary open surgical excision.不典型导管增生:乳腺 DCE-MRI 可用于减少不必要的开放性手术切除。
Eur Radiol. 2020 Jul;30(7):4069-4081. doi: 10.1007/s00330-020-06701-3. Epub 2020 Mar 7.
6
Contrast-enhanced spectral mammography: A potential exclusion diagnosis modality in dense breast patients.对比增强光谱乳腺摄影:致密型乳腺患者潜在的排除性诊断方式。
Cancer Med. 2020 Apr;9(8):2653-2659. doi: 10.1002/cam4.2877. Epub 2020 Feb 19.
7
Intravoxel incoherent motion MR imaging for breast lesions: comparison and correlation with pharmacokinetic evaluation from dynamic contrast-enhanced MR imaging.体素内不相干运动磁共振成像用于乳腺病变:与动态对比增强磁共振成像的药代动力学评估的比较及相关性
Eur Radiol. 2016 Nov;26(11):3888-3898. doi: 10.1007/s00330-016-4241-6. Epub 2016 Feb 10.
8
[Comparison of the Diagnostic Values of Dynamic Enhanced Magnetic Resonance Imaging,Digital Breast Tomosynthesis,and Digital Mammography for Early Breast Cancer].[动态增强磁共振成像、数字乳腺断层合成及数字乳腺钼靶对早期乳腺癌的诊断价值比较]
Zhongguo Yi Xue Ke Xue Yuan Xue Bao. 2019 Oct 30;41(5):667-672. doi: 10.3881/j.issn.1000-503X.10938.
9
Tumor metabolism and perfusion ratio assessed by 18F-FDG PET/CT and DCE-MRI in breast cancer patients: Correlation with tumor subtype and histologic prognostic factors.18F-FDG PET/CT和DCE-MRI评估乳腺癌患者的肿瘤代谢与灌注率:与肿瘤亚型及组织学预后因素的相关性
Eur J Radiol. 2015 Jul;84(7):1365-70. doi: 10.1016/j.ejrad.2015.03.026. Epub 2015 Mar 30.
10
Ultrafast dynamic contrast-enhanced breast MRI may generate prognostic imaging markers of breast cancer.超快速动态对比增强乳腺 MRI 可能生成乳腺癌的预后成像标志物。
Breast Cancer Res. 2020 May 28;22(1):58. doi: 10.1186/s13058-020-01292-9.

引用本文的文献

1
MM-3D Unet: development of a lightweight breast cancer tumor segmentation network utilizing multi-task and depthwise separable convolution.MM-3D U-Net:一种利用多任务和深度可分离卷积的轻量级乳腺癌肿瘤分割网络的开发
Front Oncol. 2025 May 13;15:1563959. doi: 10.3389/fonc.2025.1563959. eCollection 2025.
2
Treatments and cancer: implications for radiologists.治疗与癌症:对放射科医生的影响
Front Immunol. 2025 Apr 16;16:1564909. doi: 10.3389/fimmu.2025.1564909. eCollection 2025.
3
Meta-analysis of the synergistic effect of magnetic resonance imaging and mammography in breast cancer detection in women with dense breasts.
磁共振成像与乳腺钼靶在致密型乳腺女性乳腺癌检测中协同作用的荟萃分析。
Am J Transl Res. 2025 Mar 15;17(3):1554-1567. doi: 10.62347/BMWY7899. eCollection 2025.