• 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

采用扩散加权磁共振成像联合常规及动态对比增强磁共振成像评估乳腺癌患者腋窝淋巴结。

Assessment of axillary lymph nodes in patients with breast cancer with diffusion-weighted MR imaging in combination with routine and dynamic contrast MR imaging.

作者信息

Razek Ahmed Abdel Khalek Abdel, Lattif Mahmoud Abdel, Denewer Adel, Farouk Omar, Nada Nadia

机构信息

Department of Diagnostic Radiology, Mansoura Faculty of Medicine, Mansoura, 13351, Egypt.

Surgical Oncology Unit, Oncology Center, Faculty of Medicine, Mansoura, 13351, Egypt.

出版信息

Breast Cancer. 2016 May;23(3):525-32. doi: 10.1007/s12282-015-0598-7. Epub 2015 Mar 13.

DOI:10.1007/s12282-015-0598-7
PMID:25763535
Abstract

PURPOSE

To assess axillary lymph nodes in patients with breast cancer with diffusion-weighted MR imaging in combination with routine and dynamic contrast MR imaging.

MATERIALS AND METHODS

Prospective study was conducted on 65 enlarged axillary lymph nodes in 34 consecutive female patients (28-64 years: mean 51 years) with breast cancer. They underwent T2-weighted, dynamic contrast-enhanced and diffusion-weighted MR imaging of the breast and axilla using a single-shot echo-planar imaging with a b factor of 0500 and 1000 s/mm². Morphologic and quantitative parameters included ADC value of the axillary lymph node which was calculated and correlated with surgical findings.

RESULTS

The mean ADC value of metastatic axillary lymph nodes was 1.08 ± 0.21 × 10⁻³ mm²/s and of benign lymph nodes was 1.58 ± 0.14 × 10⁻³ mm²s. There was statistically difference in mean ADC values between metastatic and of benign axillary lymph nodes (P = 0.001). Metastatic nodes were associated with low ADC ≤ 1.3 (OR = 8.0), short axis/long axis (TS/LS) > 0.6 (OR = 7.0) and absent hilum (OR = 6.21). When ADC of 1.3 × 10⁻³ mm²/s was used as a threshold value for differentiating metastatic from benign axillary lymph nodes, the best result was obtained with an accuracy of 95.6%, sensitivity of 93%, specificity of 100%, positive predictive value of 100 %, negative predictive value of 87.5 % and area under the curve of 0.974. Multivariate model involving combined ADC value and TS/LS improved the diagnostic performance of MR imaging with AUC of 1.00.

CONCLUSION

We concluded that combination of diffusion-weighted MR imaging with morphological and dynamic MR imaging findings helps for differentiation of metastatic from benign axillary lymph nodes.

摘要

目的

采用扩散加权磁共振成像联合常规及动态对比增强磁共振成像评估乳腺癌患者腋窝淋巴结。

材料与方法

对34例连续的女性乳腺癌患者(年龄28 - 64岁,平均51岁)的65个肿大腋窝淋巴结进行前瞻性研究。她们接受了乳腺及腋窝的T2加权、动态对比增强及扩散加权磁共振成像,采用单次激发回波平面成像,b值分别为500和1000 s/mm²。形态学和定量参数包括腋窝淋巴结的表观扩散系数(ADC)值,计算该值并与手术结果进行相关性分析。

结果

转移性腋窝淋巴结的平均ADC值为1.08±0.21×10⁻³ mm²/s,良性淋巴结的平均ADC值为1.58±0.14×10⁻³ mm²/s。转移性和良性腋窝淋巴结的平均ADC值存在统计学差异(P = 0.001)。转移性淋巴结与低ADC≤1.3(比值比[OR]=8.0)、短轴/长轴(TS/LS)>0.6(OR = 7.0)及无门部(OR = 6.21)相关。当以1.3×10⁻³ mm²/s的ADC值作为区分转移性和良性腋窝淋巴结的阈值时,诊断效果最佳,准确率为95.6%,敏感性为93%,特异性为100%,阳性预测值为100%,阴性预测值为87.5%,曲线下面积为0.974。涉及联合ADC值和TS/LS的多变量模型提高了磁共振成像的诊断性能,曲线下面积为1.00。

结论

我们得出结论,扩散加权磁共振成像与形态学及动态磁共振成像结果相结合有助于区分转移性和良性腋窝淋巴结。

相似文献

1
Assessment of axillary lymph nodes in patients with breast cancer with diffusion-weighted MR imaging in combination with routine and dynamic contrast MR imaging.采用扩散加权磁共振成像联合常规及动态对比增强磁共振成像评估乳腺癌患者腋窝淋巴结。
Breast Cancer. 2016 May;23(3):525-32. doi: 10.1007/s12282-015-0598-7. Epub 2015 Mar 13.
2
Role of diffusion-weighted MRI: predicting axillary lymph node metastases in breast cancer.扩散加权磁共振成像的作用:预测乳腺癌腋窝淋巴结转移
Acta Radiol. 2014 Oct;55(8):909-16. doi: 10.1177/0284185113509094. Epub 2013 Nov 14.
3
Apparent diffusion coefficient ratio between axillary lymph node with primary tumor to detect nodal metastasis in breast cancer patients.腋窝淋巴结与原发肿瘤的表观扩散系数比值在乳腺癌患者淋巴结转移检测中的应用。
J Magn Reson Imaging. 2013 Oct;38(4):824-8. doi: 10.1002/jmri.24031. Epub 2013 Feb 25.
4
Diffusion-weighted MR imaging increases diagnostic accuracy of breast MR imaging for predicting axillary metastases in breast cancer patients.弥散加权磁共振成像提高了乳腺癌患者腋窝转移的乳腺磁共振成像预测的诊断准确性。
Breast J. 2019 Jan;25(1):47-55. doi: 10.1111/tbj.13151. Epub 2018 Nov 16.
5
Diffusion-weighted magnetic resonance imaging in the characterization of axillary lymph nodes in patients with breast cancer.磁共振弥散加权成像在乳腺癌患者腋窝淋巴结中的应用特征。
J Magn Reson Imaging. 2012 Oct;36(4):858-64. doi: 10.1002/jmri.23706. Epub 2012 May 30.
6
Diffusion weighted images of metastatic as compared with nonmetastatic axillary lymph nodes in patients with newly diagnosed breast cancer.新诊断乳腺癌患者中转移性腋窝淋巴结与非转移性腋窝淋巴结的扩散加权成像。
J Magn Reson Imaging. 2015 Sep;42(3):771-8. doi: 10.1002/jmri.24829. Epub 2014 Dec 30.
7
Discrimination of axillary metastatic from nonmetastatic lymph nodes with PROPELLER diffusion-weighted MR imaging in a metastatic breast cancer model and its correlation with cellularity.在转移性乳腺癌模型中,用 PROPELLER 扩散加权磁共振成像对腋窝转移性和非转移性淋巴结进行鉴别及其与细胞密度的相关性。
J Magn Reson Imaging. 2012 Sep;36(3):624-31. doi: 10.1002/jmri.23695. Epub 2012 May 8.
8
Diagnostic Performance of Dedicated Axillary T2- and Diffusion-weighted MR Imaging for Nodal Staging in Breast Cancer.专用腋窝 T2 加权和扩散加权 MRI 对乳腺癌淋巴结分期的诊断性能。
Radiology. 2015 May;275(2):345-55. doi: 10.1148/radiol.14141167. Epub 2014 Dec 15.
9
Axillary lymph node metastases in patients with breast carcinomas: assessment with nonenhanced versus uspio-enhanced MR imaging.乳腺癌患者腋窝淋巴结转移:非增强与超顺磁性氧化铁增强磁共振成像评估
Radiology. 2006 Nov;241(2):367-77. doi: 10.1148/radiol.2412050693.
10
Diagnostic Performance of Fused Diffusion-Weighted Imaging Using T1-Weighted Imaging for Axillary Nodal Staging in Patients With Early Breast Cancer.利用T1加权成像的融合扩散加权成像对早期乳腺癌患者腋窝淋巴结分期的诊断效能
Clin Breast Cancer. 2017 Apr;17(2):154-163. doi: 10.1016/j.clbc.2016.10.010. Epub 2016 Oct 19.

引用本文的文献

1
Evaluating the added value of synthetic magnetic resonance imaging in predicting sentinel lymph node status in breast cancer.评估合成磁共振成像在预测乳腺癌前哨淋巴结状态中的附加价值。
Quant Imaging Med Surg. 2024 Jun 1;14(6):3789-3802. doi: 10.21037/qims-24-1. Epub 2024 Apr 29.
2
Predicting of axillary lymph node metastasis in invasive breast cancer using multiparametric MRI dataset based on CNN model.基于卷积神经网络(CNN)模型,利用多参数磁共振成像(MRI)数据集预测浸润性乳腺癌腋窝淋巴结转移情况。
Front Oncol. 2022 Dec 6;12:1069733. doi: 10.3389/fonc.2022.1069733. eCollection 2022.
3
Multiparametric Magnetic Resonance Imaging in Evaluation of Benign and Malignant Breast Masses with Pathological Correlation.
多参数磁共振成像在评估乳腺良恶性肿块中的应用及其与病理的相关性
Cureus. 2022 Feb 17;14(2):e22348. doi: 10.7759/cureus.22348. eCollection 2022 Feb.
4
Differentiation Between Benign and Metastatic Breast Lymph Nodes Using Apparent Diffusion Coefficients.利用表观扩散系数鉴别乳腺良性和转移性淋巴结
Front Oncol. 2022 Feb 23;12:795265. doi: 10.3389/fonc.2022.795265. eCollection 2022.
5
The value of the apparent diffusion coefficient value in the Liver Imaging Reporting and Data System (LI-RADS) version 2018.2018版肝脏影像报告和数据系统(LI-RADS)中表观扩散系数值的价值
Pol J Radiol. 2022 Jan 17;87:e43-e50. doi: 10.5114/pjr.2022.113193. eCollection 2022.
6
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.
7
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.
8
Primary breast cancer patient with poliomyelitis: A case report.原发性乳腺癌合并脊髓灰质炎患者:一例报告。
World J Clin Cases. 2020 Dec 6;8(23):6190-6196. doi: 10.12998/wjcc.v8.i23.6190.
9
Fat fractions from high-resolution 3D radial Dixon MRI for predicting metastatic axillary lymph nodes in breast cancer patients.利用高分辨率3D径向狄克逊磁共振成像获取的脂肪分数预测乳腺癌患者腋窝转移性淋巴结
Eur J Radiol Open. 2020 Nov 7;7:100284. doi: 10.1016/j.ejro.2020.100284. eCollection 2020.
10
Differentiating the lymph node metastasis of breast cancer through dynamic contrast-enhanced magnetic resonance imaging.通过动态对比增强磁共振成像鉴别乳腺癌的淋巴结转移
BJR Open. 2019 May 14;1(1):20180023. doi: 10.1259/bjro.20180023. eCollection 2019.