• 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

通过扩散加权磁共振成像鉴别宫颈癌患者盆腔淋巴结转移与增生

Discrimination of metastatic from hyperplastic pelvic lymph nodes in patients with cervical cancer by diffusion-weighted magnetic resonance imaging.

作者信息

Chen Yun B, Liao Jiang, Xie Rong, Chen Gui L, Chen Gang

机构信息

Department of Radiology, Fujian Medical University Teaching Hospital, Fujian Provincial Cancer Hospital, Fuzhou, People's Republic of China.

出版信息

Abdom Imaging. 2011 Feb;36(1):102-9. doi: 10.1007/s00261-009-9590-z.

DOI:10.1007/s00261-009-9590-z
PMID:19953246
Abstract

PURPOSE

To evaluate the diagnostic value of diffusion-weighted MR imaging for differentiating metastatic and hyperplastic pelvic lymph nodes in patients with cervical carcinoma.

MATERIALS AND METHODS

In this prospective study, 61 untreated patients were scanned with both morphological MR and diffusion-weighted imaging (DWI). Bilateral pelvic lymphadenectomy was then performed in all patients. Of the 1118 total dissected and histopathologically evaluated pelvic lymph nodes, 153 enlarged nodes with short-axis diameter larger than 5 mm were included for further study. The mean ADC values of all enlarged lymph nodes and the relative ADC values between tumors and nodes were also measured and, respectively, compared between the metastatic and hyperplastic node groups.

RESULTS

The mean ADC value of metastatic [(1.046 ± 0.198) × 10⁻³ mm²/s] nodes was significantly lower than that of hyperplastic [(1.289 ± 0.194) × 10⁻³ mm²/s] nodes (P < 0. 001). The relative ADC values between tumor and nodes were significantly lower in malignant [(0.19 ± 0.17) × 10⁻³ mm²/s] than hyperplastic [(0.4 ± 0.21) × 10⁻³ mm²/s] nodes (P < 0. 001). When a mean ADC value of 1.15 × 10⁻³ mm²/s was used as a threshold value for differentiating metastatic from hyperplastic nodes, the best results were obtained with a sensitivity of 83.3%, specificity of 74.7%, and accuracy of 78.4%.

CONCLUSION

DWI is useful in differentiating metastatic and hyperplastic pelvic lymph nodes in patients with cervical carcinoma.

摘要

目的

评估磁共振扩散加权成像在鉴别宫颈癌患者盆腔转移性淋巴结和增生性淋巴结中的诊断价值。

材料与方法

在这项前瞻性研究中,对61例未经治疗的患者进行了形态学磁共振成像和扩散加权成像(DWI)扫描。然后对所有患者进行双侧盆腔淋巴结清扫术。在总共1118个经解剖和组织病理学评估的盆腔淋巴结中,纳入153个短轴直径大于5mm的肿大淋巴结进行进一步研究。还测量了所有肿大淋巴结的平均表观扩散系数(ADC)值以及肿瘤与淋巴结之间的相对ADC值,并分别在转移性淋巴结组和增生性淋巴结组之间进行比较。

结果

转移性淋巴结的平均ADC值[(1.046±0.198)×10⁻³mm²/s]显著低于增生性淋巴结的平均ADC值[(1.289±0.194)×10⁻³mm²/s](P<0.001)。肿瘤与淋巴结之间的相对ADC值在恶性淋巴结[(0.19±0.17)×10⁻³mm²/s]中显著低于增生性淋巴结[(0.4±0.21)×10⁻³mm²/s](P<0.001)。当以1.15×10⁻³mm²/s的平均ADC值作为鉴别转移性淋巴结与增生性淋巴结的阈值时,获得了最佳结果,灵敏度为83.3%,特异度为74.7%,准确度为78.4%。

结论

DWI有助于鉴别宫颈癌患者盆腔的转移性淋巴结和增生性淋巴结。

相似文献

1
Discrimination of metastatic from hyperplastic pelvic lymph nodes in patients with cervical cancer by diffusion-weighted magnetic resonance imaging.通过扩散加权磁共振成像鉴别宫颈癌患者盆腔淋巴结转移与增生
Abdom Imaging. 2011 Feb;36(1):102-9. doi: 10.1007/s00261-009-9590-z.
2
The value of 3.0Tesla diffusion-weighted MRI for pelvic nodal staging in patients with early stage cervical cancer.3.0T 磁共振弥散加权成像在早期宫颈癌盆腔淋巴结分期中的价值。
Eur J Cancer. 2012 Dec;48(18):3414-21. doi: 10.1016/j.ejca.2012.06.022. Epub 2012 Jul 24.
3
Metastases in mediastinal and hilar lymph nodes in patients with non-small cell lung cancer: quantitative assessment with diffusion-weighted magnetic resonance imaging and apparent diffusion coefficient.非小细胞肺癌患者纵隔及肺门淋巴结转移:磁共振扩散加权成像及表观扩散系数定量评估
J Comput Assist Tomogr. 2010 Jan;34(1):1-8. doi: 10.1097/RCT.0b013e3181a9cc07.
4
Differentiation of metastatic from non-metastatic lymph nodes in patients with uterine cervical cancer using diffusion-weighted imaging.利用扩散加权成像鉴别宫颈癌患者转移性与非转移性淋巴结。
Gynecol Oncol. 2011 Jul;122(1):19-24. doi: 10.1016/j.ygyno.2011.03.023. Epub 2011 Apr 15.
5
Diagnosis of lymph node metastasis in uterine cervical cancer: usefulness of computer-aided diagnosis with comprehensive evaluation of MR images and clinical findings.子宫颈癌淋巴结转移的诊断:结合磁共振图像与临床发现综合评估的计算机辅助诊断的效用
Acta Radiol. 2011 Dec 1;52(10):1175-83. doi: 10.1258/ar.2011.110202. Epub 2011 Oct 3.
6
Differential diagnosis of metastasis from non-metastatic lymph nodes in cervical cancers: pilot study of diffusion weighted imaging with background suppression at 3T magnetic resonance.宫颈癌转移性与非转移性淋巴结的鉴别诊断:3T 磁共振背景抑制弥散加权成像的初步研究。
Chin Med J (Engl). 2010 Oct;123(20):2820-4.
7
Feasibility of diffusion-weighted imaging in the differentiation of metastatic from nonmetastatic lymph nodes: early experience.扩散加权成像在鉴别转移性与非转移性淋巴结中的可行性:早期经验
J Magn Reson Imaging. 2008 Sep;28(3):714-9. doi: 10.1002/jmri.21480.
8
Fusion of high b-value diffusion-weighted and T2-weighted MR images improves identification of lymph nodes in the pelvis.高b值扩散加权磁共振成像与T2加权磁共振成像的融合可提高盆腔淋巴结的识别率。
J Med Imaging Radiat Oncol. 2010 Aug;54(4):358-64. doi: 10.1111/j.1754-9485.2010.02182.x.
9
[MR diagnosis for metastasis or non-metastasis of mediastinal and hilar lymph nodes in cases of primary lung cancer: detectability, signal intensity, and MR-pathologic correlation].[原发性肺癌病例中纵隔及肺门淋巴结转移与否的磁共振成像诊断:可检测性、信号强度及磁共振成像与病理的相关性]
Nihon Igaku Hoshasen Gakkai Zasshi. 1995 Feb;55(3):162-71.
10
Value of diffusion-weighted MR imaging in the differentiation between benign and malignant cervical lymph nodes.弥散加权磁共振成像在鉴别良恶性颈淋巴结中的价值。
Eur J Radiol. 2009 Dec;72(3):381-7. doi: 10.1016/j.ejrad.2008.09.034. Epub 2008 Nov 7.

引用本文的文献

1
Diagnostic Utility of Diffusion-Weighted MRI and Apparent Diffusion Coefficient Values in Differentiating Metastatic From Non-metastatic Lymph Nodes in Cervical Carcinoma.扩散加权磁共振成像及表观扩散系数值在鉴别宫颈癌转移性与非转移性淋巴结中的诊断效用
Cureus. 2025 Jun 4;17(6):e85371. doi: 10.7759/cureus.85371. eCollection 2025 Jun.
2
The performance of the node reporting and data system 1.0 (Node-RADS) and DWI-MRI in staging patients with cervical carcinoma according to the new FIGO classification (2018).基于新 FIGO 分类(2018 年)的宫颈癌分期中,节点报告和数据系统 1.0(Node-RADS)和 DWI-MRI 的表现。
Radiol Med. 2024 Jul;129(7):1062-1075. doi: 10.1007/s11547-024-01824-9. Epub 2024 May 10.
3
Contrast-Enhanced Imaging in the Management of Intrahepatic Cholangiocarcinoma: State of Art and Future Perspectives.
对比增强成像在肝内胆管癌管理中的应用:现状与未来展望
Cancers (Basel). 2023 Jun 28;15(13):3393. doi: 10.3390/cancers15133393.
4
Texture Analysis in Uterine Cervix Carcinoma: Primary Tumour and Lymph Node Assessment.子宫颈癌的纹理分析:原发性肿瘤和淋巴结评估
Diagnostics (Basel). 2023 Jan 26;13(3):442. doi: 10.3390/diagnostics13030442.
5
MRI outcome evaluation in patients with IB2 and IIA2 squamous cervical cancer stages: preliminary results.IB2期和IIA2期宫颈鳞状癌患者的MRI结果评估:初步结果
Insights Imaging. 2022 Sep 16;13(1):148. doi: 10.1186/s13244-022-01269-6.
6
The role of apparent diffusion coefficient (ADC) in the evaluation of lymph node status in patients with locally advanced cervical cancer: our experience and a review.表观扩散系数(ADC)在局部晚期宫颈癌患者淋巴结状态评估中的作用:我们的经验及文献综述
Pol J Radiol. 2022 Aug 10;87:e438-e447. doi: 10.5114/pjr.2022.118914. eCollection 2022.
7
Diagnostic Value of Multimodal Magnetic Resonance Imaging in Discriminating Between Metastatic and Non-Metastatic Pelvic Lymph Nodes in Cervical Cancer.多模态磁共振成像在鉴别宫颈癌盆腔转移性和非转移性淋巴结中的诊断价值
Int J Gen Med. 2022 Jul 22;15:6279-6288. doi: 10.2147/IJGM.S372154. eCollection 2022.
8
Apparent diffusion coefficient magnetic resonance imaging (ADC-MRI) in the axillary breast cancer lymph node metastasis detection: a narrative review.表观扩散系数磁共振成像(ADC-MRI)在腋窝乳腺癌淋巴结转移检测中的应用:一项叙述性综述。
Gland Surg. 2020 Dec;9(6):2225-2234. doi: 10.21037/gs-20-546.
9
Value of MRI and diffusion-weighted imaging in diagnosing normal-sized pelvic lymph nodes metastases in patients with cervical cancer.MRI 和弥散加权成像在诊断宫颈癌患者正常大小盆腔淋巴结转移中的价值。
Br J Radiol. 2022 Sep 1;95(1138):20200203. doi: 10.1259/bjr.20200203. Epub 2022 Aug 4.
10
A Method to Estimate Brain Volume from Head CT Images and Application to Detect Brain Atrophy in Alzheimer Disease.一种基于头部 CT 图像估算脑容量的方法及其在阿尔茨海默病脑萎缩检测中的应用。
AJNR Am J Neuroradiol. 2020 Feb;41(2):224-230. doi: 10.3174/ajnr.A6402. Epub 2020 Jan 30.