• 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

乳腺弥散加权磁共振成像。

Diffusion weighted MR imaging of the breast.

机构信息

Diagnostic Radiology Department, Mansoura Faculty of Medicine, Mansoura, Egypt.

出版信息

Acad Radiol. 2010 Mar;17(3):382-6. doi: 10.1016/j.acra.2009.10.014. Epub 2009 Dec 11.

DOI:10.1016/j.acra.2009.10.014
PMID:20004597
Abstract

The aim of this work is to review the techniques and clinical applications of diffusion-weighted magnetic resonance (MR) imaging of the breast. Diffusion-weighted MR imaging plays a role in the differentiation breast cancer from benign lesions, the characterization of malignancy, and the detection of tumor extension. The apparent diffusion coefficient of breast cancer is correlated with tumor cellularity and some prognostic factors of breast cancer. It can be used for the differentiation of recurrent tumors from posttreatment changes and monitoring of patients after chemotherapy. Diffusion-weighted MR imaging is used for the characterization of breast mass, diagnosis, and the grading and staging of breast cancer, as well as prediction of the responses of patients with breast cancer to chemotherapy.

摘要

本工作旨在综述磁共振(MR)扩散加权成像技术及其在乳腺疾病中的临床应用。扩散加权 MR 成像在鉴别乳腺良恶性病变、评价病变恶性程度及检测肿瘤侵犯范围方面具有重要作用。乳腺癌的表观扩散系数与肿瘤细胞密度及乳腺癌的某些预后因素相关,有助于鉴别肿瘤复发与治疗后改变,监测乳腺癌患者化疗后的疗效。扩散加权 MR 成像可用于乳腺肿块的定性诊断、乳腺癌分级分期,预测乳腺癌患者对化疗的反应。

相似文献

1
Diffusion weighted MR imaging of the breast.乳腺弥散加权磁共振成像。
Acad Radiol. 2010 Mar;17(3):382-6. doi: 10.1016/j.acra.2009.10.014. Epub 2009 Dec 11.
2
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.
3
Non-mass-like enhancement on contrast-enhanced breast MR imaging: lesion characterization using combination of dynamic contrast-enhanced and diffusion-weighted MR images.对比增强乳腺磁共振成像上的非肿块样强化:应用动态对比增强和弥散加权磁共振图像组合对病变进行特征描述。
Eur J Radiol. 2010 Jul;75(1):e126-32. doi: 10.1016/j.ejrad.2009.09.013. Epub 2009 Sep 30.
4
Quantitative diffusion weighted imaging for differentiation of benign and malignant breast lesions: the influence of the choice of b-values.定量扩散加权成像鉴别乳腺良恶性病变:b 值选择的影响。
J Magn Reson Imaging. 2010 May;31(5):1100-5. doi: 10.1002/jmri.22152.
5
Tissue characterization of head and neck lesions using diffusion-weighted MR imaging with SPLICE.使用具有SPLICE的扩散加权磁共振成像对头颈部病变进行组织特征分析。
Eur J Radiol. 2009 Feb;69(2):260-8. doi: 10.1016/j.ejrad.2007.10.008. Epub 2007 Nov 26.
6
Characterization of breast cancer types by texture analysis of magnetic resonance images.基于磁共振图像纹理分析的乳腺癌分型。
Acad Radiol. 2010 Feb;17(2):135-41. doi: 10.1016/j.acra.2009.08.012. Epub 2009 Nov 27.
7
Diffusion-weighted MRI evaluation of breast cancer extension.扩散加权 MRI 评估乳腺癌的侵犯范围。
Clin Imaging. 2010 Mar-Apr;34(2):89-96. doi: 10.1016/j.clinimag.2009.09.002.
8
Diffusion tensor MRI: preliminary anisotropy measures and mapping of breast tumors.弥散张量 MRI:乳腺肿瘤的初步各向异性测量和绘图。
J Magn Reson Imaging. 2010 Feb;31(2):339-47. doi: 10.1002/jmri.22045.
9
Role of PROPELLER diffusion weighted imaging and apparent diffusion coefficient in the diagnosis of sellar and parasellar lesions.鞍区及鞍旁病变 PROPELLER 扩散加权成像及表观扩散系数的作用。
Eur J Radiol. 2010 Jun;74(3):420-7. doi: 10.1016/j.ejrad.2009.03.031. Epub 2009 Apr 25.
10
Diffusion-weighted imaging of the liver: optimizing b value for the detection and characterization of benign and malignant hepatic lesions.肝脏的扩散加权成像:优化b值以检测和鉴别肝脏良恶性病变
J Magn Reson Imaging. 2008 Sep;28(3):691-7. doi: 10.1002/jmri.21467.

引用本文的文献

1
Correlations of tumour permeability parameters with apparent diffusion coefficient in nasopharyngeal carcinoma.鼻咽癌肿瘤渗透参数与表观扩散系数的相关性
Phys Imaging Radiat Oncol. 2022 Sep 12;24:30-35. doi: 10.1016/j.phro.2022.09.001. eCollection 2022 Oct.
2
Predicting axillary response to neoadjuvant chemotherapy: the role of diffusion weighted imaging.预测新辅助化疗后的腋窝反应:扩散加权成像的作用。
Br J Radiol. 2022 Feb 1;95(1130):20210511. doi: 10.1259/bjr.20210511. Epub 2021 Nov 10.
3
Coronary artery disease imaging reporting and data system (CAD-RADS): what radiologists need to know?
冠状动脉疾病成像报告和数据系统 (CAD-RADS):放射科医生需要了解什么?
Emerg Radiol. 2021 Dec;28(6):1185-1203. doi: 10.1007/s10140-021-01973-8. Epub 2021 Aug 13.
4
Prediction of pathological complete response after neoadjuvant chemotherapy in breast cancer: comparison of diagnostic performances of dedicated breast PET, whole-body PET, and dynamic contrast-enhanced MRI.乳腺癌新辅助化疗后病理完全缓解的预测:专用乳腺 PET、全身 PET 和动态对比增强 MRI 的诊断性能比较。
Breast Cancer Res Treat. 2021 Jul;188(1):107-115. doi: 10.1007/s10549-021-06179-7. Epub 2021 Mar 17.
5
Teprotumumab (Tepezza): from the discovery and development of medicines to USFDA approval for active thyroid eye disease (TED) treatment.特普替尼单抗(特泽萨):从药物的发现和开发到获得美国食品药品监督管理局批准用于治疗活动性甲状腺眼病(TED)。
Int Ophthalmol. 2021 Apr;41(4):1549-1561. doi: 10.1007/s10792-021-01706-3. Epub 2021 Jan 22.
6
Frequency of radiation-induced malignancies post-adjuvant radiotherapy for breast cancer in patients with Li-Fraumeni syndrome.Li-Fraumeni 综合征患者接受乳腺癌辅助放疗后放射性恶性肿瘤的发生频率。
Breast Cancer Res Treat. 2020 May;181(1):181-188. doi: 10.1007/s10549-020-05612-7. Epub 2020 Apr 3.
7
Whole-body diffusion-weighted imaging with background body signal suppression in the detection of osseous and extra-osseous metastases.采用背景体部信号抑制的全身扩散加权成像在骨与骨外转移瘤检测中的应用
Pol J Radiol. 2019 Nov 12;84:e453-e458. doi: 10.5114/pjr.2019.90057. eCollection 2019.
8
Contrast ultrasound versus ultrasound elastography for diagnosis of breast lumps: A cross-sectional study.对比超声与超声弹性成像在乳腺肿块诊断中的应用:一项横断面研究。
Medicine (Baltimore). 2019 Jun;98(26):e16132. doi: 10.1097/MD.0000000000016132.
9
Deep learning networks find unique mammographic differences in previous negative mammograms between interval and screen-detected cancers: a case-case study.深度学习网络在间期和筛查检出癌症的既往阴性乳腺钼靶片中发现了独特的影像学差异:病例对照研究。
Cancer Imaging. 2019 Jun 22;19(1):41. doi: 10.1186/s40644-019-0227-3.
10
The Potential Use of DCE-MRI Texture Analysis to Predict HER2 2+ Status.动态对比增强磁共振成像纹理分析预测人表皮生长因子受体2(HER2)2+状态的潜在应用
Front Oncol. 2019 Apr 12;9:242. doi: 10.3389/fonc.2019.00242. eCollection 2019.