• 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

乳腺扩散加权成像:原理与临床应用。

Diffusion-weighted imaging of the breast: principles and clinical applications.

机构信息

Department of Diagnostic Radiology, Kitasato University School of Medicine, Minamiku, Kanagawa, Japan.

出版信息

Radiographics. 2011 Jul-Aug;31(4):1059-84. doi: 10.1148/rg.314105160.

DOI:10.1148/rg.314105160
PMID:21768239
Abstract

Diffusion-weighted imaging provides a novel contrast mechanism in magnetic resonance (MR) imaging and has a high sensitivity in the detection of changes in the local biologic environment. A significant advantage of diffusion-weighted MR imaging over conventional contrast material-enhanced MR imaging is its high sensitivity to change in the microscopic cellular environment without the need for intravenous contrast material injection. Approaches to the assessment of diffusion-weighted breast imaging findings include assessment of these data alone and interpretation of the data in conjunction with T2-weighted imaging findings. In addition, the analysis of apparent diffusion coefficient (ADC) value can be undertaken either in isolation or in combination with diffusion-weighted and T2-weighted imaging. Most previous studies have evaluated ADC value alone; however, overlap in the ADC values of malignant and benign disease has been observed. This overlap may be partly due to selection of b value, which can influence the concomitant effect of perfusion and emphasize the contribution of multicomponent model influences. The simultaneous assessment of diffusion-weighted and T2-weighted imaging data and ADC value has the potential to improve specificity. In addition, the use of diffusion-weighted imaging in a standard breast MR imaging protocol may heighten sensitivity and thereby improve diagnostic accuracy. Standardization of diffusion-weighted imaging parameters is needed to allow comparison of multicenter studies and assessment of the clinical utility of diffusion-weighted imaging and ADC values in breast evaluation.

摘要

扩散加权成像在磁共振成像(MR)中提供了一种新的对比机制,对局部生物环境变化的检测具有很高的敏感性。与传统的对比增强磁共振成像相比,扩散加权磁共振成像有一个显著的优势,即其对微观细胞环境变化的敏感性很高,而无需静脉注射对比剂。评估扩散加权乳腺成像结果的方法包括单独评估这些数据,以及结合 T2 加权成像结果来解释这些数据。此外,可以单独或与扩散加权和 T2 加权成像结合来分析表观扩散系数(ADC)值。大多数先前的研究都单独评估了 ADC 值,但是已经观察到恶性和良性疾病的 ADC 值存在重叠。这种重叠可能部分归因于 b 值的选择,这会影响灌注的伴随效应并强调多成分模型影响的贡献。同时评估扩散加权和 T2 加权成像数据以及 ADC 值有可能提高特异性。此外,在标准乳腺 MR 成像方案中使用扩散加权成像可以提高敏感性,从而提高诊断准确性。需要对扩散加权成像参数进行标准化,以便能够比较多中心研究,并评估扩散加权成像和 ADC 值在乳腺评估中的临床应用价值。

相似文献

1
Diffusion-weighted imaging of the breast: principles and clinical applications.乳腺扩散加权成像:原理与临床应用。
Radiographics. 2011 Jul-Aug;31(4):1059-84. doi: 10.1148/rg.314105160.
2
Comparison of the diagnostic performances of diffusion parameters in diffusion weighted imaging and diffusion tensor imaging of breast lesions.扩散加权成像和扩散张量成像中扩散参数对乳腺病变诊断性能的比较。
Eur J Radiol. 2013 Dec;82(12):e801-6. doi: 10.1016/j.ejrad.2013.09.001. Epub 2013 Sep 13.
3
Differentiating benign and malignant inflammatory breast lesions: Value of T2 weighted and diffusion weighted MR images.鉴别良性和恶性炎性乳腺病变:T2加权和扩散加权磁共振成像的价值
Magn Reson Imaging. 2018 Jul;50:38-44. doi: 10.1016/j.mri.2018.03.012. Epub 2018 Mar 12.
4
Diagnostic performance of ADC for Non-mass-like breast lesions on MR imaging.MR 成像中非肿块样乳腺病变 ADC 值的诊断性能。
Magn Reson Med Sci. 2010;9(4):217-25. doi: 10.2463/mrms.9.217.
5
Diffusion-weighted imaging (DWI) with apparent diffusion coefficient (ADC) mapping as a quantitative imaging biomarker for prediction of immunohistochemical receptor status, proliferation rate, and molecular subtypes of breast cancer.弥散加权成像(DWI)及其表观扩散系数(ADC)图作为一种定量影像学生物标志物,可预测乳腺癌的免疫组织化学受体状态、增殖率和分子亚型。
J Magn Reson Imaging. 2019 Sep;50(3):836-846. doi: 10.1002/jmri.26697. Epub 2019 Feb 27.
6
Bilateral diffusion-weighted MR imaging of breast tumors with submillimeter resolution using readout-segmented echo-planar imaging at 7 T.使用 7T 读出分段回波平面成像技术对乳腺肿瘤进行亚毫米分辨率的双侧扩散加权磁共振成像。
Radiology. 2015 Jan;274(1):74-84. doi: 10.1148/radiol.14132340. Epub 2014 Oct 23.
7
Intravoxel incoherent motion (IVIM) in evaluation of breast lesions: comparison with conventional DWI.体素内不相干运动(IVIM)在评估乳腺病变中的应用:与常规 DWI 的比较。
Eur J Radiol. 2013 Dec;82(12):e782-9. doi: 10.1016/j.ejrad.2013.08.006. Epub 2013 Aug 13.
8
Diffusion-weighted MR imaging of the breast: comparison of apparent diffusion coefficient values of normal breast tissue with benign and malignant breast lesions.乳腺弥散加权磁共振成像:正常乳腺组织与良性及恶性乳腺病变表观弥散系数值的比较。
Singapore Med J. 2012 Nov;53(11):737-43.
9
Simultaneous Multislice Echo Planar Imaging for Accelerated Diffusion-Weighted Imaging of Malignant and Benign Breast Lesions.同时多层回波平面成像加速扩散加权成像在乳腺良恶性病变中的应用。
Invest Radiol. 2019 Aug;54(8):524-530. doi: 10.1097/RLI.0000000000000560.
10
Assessment of breast lesions with diffusion-weighted MRI: comparing the use of different b values.利用扩散加权磁共振成像评估乳腺病变:比较不同b值的应用
AJR Am J Roentgenol. 2009 Oct;193(4):1030-5. doi: 10.2214/AJR.09.2522.

引用本文的文献

1
Determining the Diagnostic Value of DWIBS in the Diagnosis of Breast Lesions Compared to Dynamic Contrast-Enhanced MRI: A Retrospective Observational Study.与动态对比增强磁共振成像相比,确定扩散加权体部成像在乳腺病变诊断中的诊断价值:一项回顾性观察研究。
Adv Biomed Res. 2025 Jan 30;14:6. doi: 10.4103/abr.abr_283_24. eCollection 2025.
2
The Role of Diffusion-Weighted Imaging in Characterizing Benign and Malignant Breast Lesions: A Retrospective Study.扩散加权成像在乳腺良恶性病变特征分析中的作用:一项回顾性研究
Cureus. 2024 Aug 8;16(8):e66472. doi: 10.7759/cureus.66472. eCollection 2024 Aug.
3
Influence of Gadolinium-based Contrast Media and Inter-reader Variation on the Estimation of Intravoxel Incoherent Motion (IVIM) Parameters in Breast MR Imaging.
钆基对比剂及阅片者间差异对乳腺磁共振成像中体素内不相干运动(IVIM)参数估计的影响
Magn Reson Med Sci. 2025 Jul 31;24(4). doi: 10.2463/mrms.mp.2023-0131. Epub 2024 Jul 13.
4
Investigation of radiomics models for predicting biochemical recurrence of advanced prostate cancer on pretreatment MR ADC maps based on automatic image segmentation.基于自动图像分割的预处理 MR ADC 图预测晚期前列腺癌生化复发的放射组学模型研究。
J Appl Clin Med Phys. 2024 Apr;25(4):e14244. doi: 10.1002/acm2.14244. Epub 2023 Dec 26.
5
Predicting Non-Small-Cell Lung Cancer Survival after Curative Surgery via Deep Learning of Diffusion MRI.通过扩散磁共振成像的深度学习预测非小细胞肺癌根治性手术后的生存情况
Diagnostics (Basel). 2023 Aug 1;13(15):2555. doi: 10.3390/diagnostics13152555.
6
Computed diffusion-weighted imaging with a low-apparent diffusion coefficient-pixel cut-off technique for breast cancer detection.应用低表观扩散系数像素截断技术的计算扩散加权成像在乳腺癌检测中的应用。
Br J Radiol. 2023 Nov;96(1151):20220951. doi: 10.1259/bjr.20220951. Epub 2023 Jul 10.
7
Image quality assessment using deep learning in high b-value diffusion-weighted breast MRI.深度学习在高 b 值扩散加权乳腺 MRI 中的图像质量评估。
Sci Rep. 2023 Jun 29;13(1):10549. doi: 10.1038/s41598-023-37342-3.
8
High-resolution diffusion-weighted imaging compared with conventional diffusion-weighted imaging and dynamic contrast-enhanced magnetic resonance imaging with regard to image quality and assessment of breast cancer morphology.高分辨率弥散加权成像与常规弥散加权成像和动态对比增强磁共振成像在乳腺癌形态学评估方面的图像质量比较。
Diagn Interv Radiol. 2023 Mar 29;29(2):251-259. doi: 10.5152/dir.2022.21362. Epub 2023 Feb 10.
9
Fat necrosis: A consultant's conundrum.脂肪坏死:会诊医生的难题。
Front Oncol. 2023 Feb 16;12:926396. doi: 10.3389/fonc.2022.926396. eCollection 2022.
10
Diffusion tensor imaging and diffusion-weighted imaging on axillary lymph node status in breast cancer patients.乳腺癌患者腋窝淋巴结状态的弥散张量成像和弥散加权成像。
Diagn Interv Radiol. 2022 Jul;28(4):329-336. doi: 10.5152/dir.2022.21460.