• 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

动态对比增强磁共振成像在癌症中的技术与应用

Techniques and applications of dynamic contrast enhanced magnetic resonance imaging in cancer.

作者信息

Barnes Stephanie L, Whisenant Jennifer G, Yankeelov Thomas E

出版信息

Annu Int Conf IEEE Eng Med Biol Soc. 2014;2014:4264-7. doi: 10.1109/EMBC.2014.6944566.

DOI:10.1109/EMBC.2014.6944566
PMID:25570934
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC4428286/
Abstract

We first discuss several key technical issues associated with quantitative dynamic contrast enhanced magnetic resonance imaging (DCE-MRI), and then provide examples of DCE-MRI in oncology. In particular, we examine the importance of both active and passive delivery of the contrast agent to the tissue under investigation, and repeatability/reproducibility in DCE-MRI studies. We then discuss examples of how DCE-MRI can assist in assessing and predicting therapeutic response in the neoadjuvant setting.

摘要

我们首先讨论与定量动态对比增强磁共振成像（DCE-MRI）相关的几个关键技术问题，然后给出DCE-MRI在肿瘤学中的应用实例。特别地，我们研究了造影剂主动和被动输送到被研究组织的重要性，以及DCE-MRI研究中的可重复性/再现性。接着，我们讨论DCE-MRI如何在新辅助治疗环境中协助评估和预测治疗反应的实例。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/58b7/4428286/b3537399ff93/nihms-682467-f0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/58b7/4428286/583e976dcccb/nihms-682467-f0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/58b7/4428286/b3537399ff93/nihms-682467-f0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/58b7/4428286/583e976dcccb/nihms-682467-f0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/58b7/4428286/b3537399ff93/nihms-682467-f0002.jpg

相似文献

1
Techniques and applications of dynamic contrast enhanced magnetic resonance imaging in cancer.动态对比增强磁共振成像在癌症中的技术与应用
Annu Int Conf IEEE Eng Med Biol Soc. 2014;2014:4264-7. doi: 10.1109/EMBC.2014.6944566.
2
Treatment Response Evaluation of Breast Cancer after Neoadjuvant Chemotherapy and Usefulness of the Imaging Parameters of MRI and PET/CT.新辅助化疗后乳腺癌的治疗反应评估及MRI和PET/CT成像参数的应用价值
J Korean Med Sci. 2015 Jun;30(6):808-15. doi: 10.3346/jkms.2015.30.6.808. Epub 2015 May 13.
3
Magnetic resonance imaging evaluation of residual tumors in breast cancer after neoadjuvant chemotherapy: surgical implications.新辅助化疗后乳腺癌残留肿瘤的磁共振成像评估：手术意义
Acta Radiol. 2016 May;57(5):529-37. doi: 10.1177/0284185115597263. Epub 2015 Jul 31.
4
Early changes in functional dynamic magnetic resonance imaging predict for pathologic response to neoadjuvant chemotherapy in primary breast cancer.功能动态磁共振成像的早期变化可预测原发性乳腺癌对新辅助化疗的病理反应。
Clin Cancer Res. 2008 Oct 15;14(20):6580-9. doi: 10.1158/1078-0432.CCR-07-4310.
5
Role of diffusion-weighted imaging as an adjunct to contrast-enhanced breast MRI in evaluating residual breast cancer following neoadjuvant chemotherapy.弥散加权成像在新辅助化疗后评估乳腺癌残留中的作用：作为对比增强乳腺 MRI 的辅助手段。
Eur J Radiol. 2014 Feb;83(2):283-8. doi: 10.1016/j.ejrad.2013.10.023. Epub 2013 Nov 20.
6
Impact of Machine Learning With Multiparametric Magnetic Resonance Imaging of the Breast for Early Prediction of Response to Neoadjuvant Chemotherapy and Survival Outcomes in Breast Cancer Patients.机器学习联合乳腺多参数磁共振成像对乳腺癌新辅助化疗早期疗效及生存预后评估的影响。
Invest Radiol. 2019 Feb;54(2):110-117. doi: 10.1097/RLI.0000000000000518.
7
Prognostic value of pre-treatment DCE-MRI parameters in predicting disease free and overall survival for breast cancer patients undergoing neoadjuvant chemotherapy.治疗前动态对比增强磁共振成像（DCE-MRI）参数对接受新辅助化疗的乳腺癌患者无病生存期和总生存期的预测价值
Eur J Radiol. 2009 Sep;71(3):498-505. doi: 10.1016/j.ejrad.2008.05.007. Epub 2008 Jun 24.
8
Predicting nodal status using dynamic contrast-enhanced magnetic resonance imaging in patients with locally advanced breast cancer undergoing neoadjuvant chemotherapy with and without sequential trastuzumab.在接受新辅助化疗且有或无序贯曲妥珠单抗治疗的局部晚期乳腺癌患者中，使用动态对比增强磁共振成像预测淋巴结状态。
Arch Surg. 2007 Sep;142(9):855-61; discussion 860-1. doi: 10.1001/archsurg.142.9.855.
9
Meta-Analysis of Quantitative Dynamic Contrast-Enhanced MRI for the Assessment of Neoadjuvant Chemotherapy in Breast Cancer.用于评估乳腺癌新辅助化疗的定量动态对比增强磁共振成像的Meta分析
Am Surg. 2019 Jun 1;85(6):645-653.
10
Prognostic value of DCE-MRI in breast cancer patients undergoing neoadjuvant chemotherapy: a comparison with traditional survival indicators.动态对比增强磁共振成像在接受新辅助化疗的乳腺癌患者中的预后价值：与传统生存指标的比较
Eur Radiol. 2015 Apr;25(4):1097-106. doi: 10.1007/s00330-014-3502-5. Epub 2014 Nov 26.

引用本文的文献

1
Dynamic Contrast-Enhanced Magnetic Resonance Imaging for the Prediction of Monoclonal Antibody Tumor Disposition.动态对比增强磁共振成像预测单克隆抗体肿瘤分布。
Int J Mol Sci. 2022 Jan 8;23(2):679. doi: 10.3390/ijms23020679.
2
Review of MR-Guided Radiotherapy for Esophageal Cancer.磁共振引导下食管癌放疗的综述
Front Oncol. 2021 Mar 22;11:628009. doi: 10.3389/fonc.2021.628009. eCollection 2021.
3
Quantitative dynamic contrast-enhanced MR imaging can be used to predict the pathologic stages of oral tongue squamous cell carcinoma.

本文引用的文献

1
DCE-MRI analysis methods for predicting the response of breast cancer to neoadjuvant chemotherapy: pilot study findings.预测乳腺癌对新辅助化疗反应的动态对比增强磁共振成像（DCE-MRI）分析方法：初步研究结果
Magn Reson Med. 2014 Apr;71(4):1592-602. doi: 10.1002/mrm.24782. Epub 2013 May 9.
2
A diffusion-compensated model for the analysis of DCE-MRI data: theory, simulations and experimental results.一种用于分析 DCE-MRI 数据的扩散补偿模型：理论、模拟和实验结果。
Phys Med Biol. 2013 Mar 21;58(6):1983-98. doi: 10.1088/0031-9155/58/6/1983. Epub 2013 Mar 4.
3
A comparison of dynamic contrast-enhanced CT and MR imaging-derived measurements in patients with cervical cancer.
定量动态对比增强磁共振成像可用于预测口腔舌鳞状细胞癌的病理分期。
BMC Med Imaging. 2020 Oct 16;20(1):117. doi: 10.1186/s12880-020-00516-w.
4
The effect of the mTOR inhibitor rapamycin on glucoCEST signal in a preclinical model of glioblastoma.雷帕霉素（mTOR 抑制剂）对胶质母细胞瘤临床前模型中 glucoCEST 信号的影响。
Magn Reson Med. 2019 Jun;81(6):3798-3807. doi: 10.1002/mrm.27683. Epub 2019 Feb 22.
5
Applying dynamic contrast enhanced MSOT imaging to intratumoral pharmacokinetic modeling.将动态对比增强光声断层成像应用于肿瘤内药代动力学建模。
Photoacoustics. 2018 Jul 27;11:28-35. doi: 10.1016/j.pacs.2018.07.003. eCollection 2018 Sep.
6
Comparison of arterial input functions measured from ultra-fast dynamic contrast enhanced MRI and dynamic contrast enhanced computed tomography in prostate cancer patients.超快速动态对比增强 MRI 与动态对比增强 CT 在前列腺癌患者中的动脉输入函数测量比较。
Phys Med Biol. 2018 Jan 30;63(3):03NT01. doi: 10.1088/1361-6560/aaa51b.
7
Discrimination between benign and malignant breast lesions using volumetric quantitative dynamic contrast-enhanced MR imaging.应用容积定量动态对比增强磁共振成像鉴别乳腺良恶性病变。
Eur Radiol. 2018 Mar;28(3):982-991. doi: 10.1007/s00330-017-5050-2. Epub 2017 Sep 19.
8
Can Dynamic Contrast-Enhanced MRI (DCE-MRI) and Diffusion-Weighted MRI (DW-MRI) Evaluate Inflammation Disease: A Preliminary Study of Crohn's Disease.动态对比增强磁共振成像（DCE-MRI）和扩散加权磁共振成像（DW-MRI）能否评估炎症性疾病：克罗恩病的初步研究
Medicine (Baltimore). 2016 Apr;95(14):e3239. doi: 10.1097/MD.0000000000003239.
宫颈癌患者动态对比增强CT与磁共振成像衍生测量值的比较。
Clin Physiol Funct Imaging. 2013 Mar;33(2):150-61. doi: 10.1111/cpf.12010. Epub 2012 Nov 27.
4
Assessing the reproducibility of dynamic contrast enhanced magnetic resonance imaging in a murine model of breast cancer.评估乳腺癌小鼠模型中动态对比增强磁共振成像的可重复性。
Magn Reson Med. 2013 Jun;69(6):1721-34. doi: 10.1002/mrm.24422. Epub 2012 Jul 27.
5
Locally advanced breast cancer: MR imaging for prediction of response to neoadjuvant chemotherapy--results from ACRIN 6657/I-SPY TRIAL.局部晚期乳腺癌：MR 成像预测新辅助化疗反应——来自 ACRIN 6657/I-SPY 试验的结果。
Radiology. 2012 Jun;263(3):663-72. doi: 10.1148/radiol.12110748.
6
Dynamic contrast-enhanced magnetic resonance imaging as a prognostic factor in predicting event-free and overall survival in pediatric patients with osteosarcoma.动态对比增强磁共振成像作为预测儿童骨肉瘤患者无事件和总生存的预后因素。
Cancer. 2012 Aug 1;118(15):3776-85. doi: 10.1002/cncr.26701. Epub 2011 Dec 16.
7
A novel AIF tracking method and comparison of DCE-MRI parameters using individual and population-based AIFs in human breast cancer.一种新型的 AIF 追踪方法及个体和基于人群的 AIF 在人乳腺癌 DCE-MRI 参数中的比较。
Phys Med Biol. 2011 Sep 7;56(17):5753-69. doi: 10.1088/0031-9155/56/17/018. Epub 2011 Aug 12.
8
A quantitative comparison of the influence of individual versus population-derived vascular input functions on dynamic contrast enhanced-MRI in small animals.个体与群体来源血管输入函数对小动物动态对比增强 MRI 的影响的定量比较。
Magn Reson Med. 2012 Jan;67(1):226-36. doi: 10.1002/mrm.22988. Epub 2011 Jun 17.
9
Neoadjuvant therapy for locally advanced cancer.局部晚期癌症的新辅助治疗。
J Surg Oncol. 2010 Mar 15;101(4):282. doi: 10.1002/jso.21475.
10
Comparison between population average and experimentally measured arterial input function in predicting biopsy results in prostate cancer.比较群体平均与实验测量的动脉输入函数在预测前列腺癌活检结果中的应用。
Acad Radiol. 2010 Apr;17(4):520-5. doi: 10.1016/j.acra.2009.11.006. Epub 2010 Jan 13.