• 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

相似文献

1
DCE-MRI and parametric imaging in monitoring response to neoadjuvant chemotherapy in breast carcinoma: a preliminary report.动态对比增强磁共振成像及参数成像在监测乳腺癌新辅助化疗反应中的应用:初步报告
Pol J Radiol. 2018 May 18;83:e220-e228. doi: 10.5114/pjr.2018.76271. eCollection 2018.
2
Early prediction of pathological complete response to neoadjuvant chemotherapy combining DCE-MRI and apparent diffusion coefficient values in breast Cancer.早期预测新辅助化疗结合 DCE-MRI 和表观扩散系数值在乳腺癌中的病理完全缓解。
BMC Cancer. 2022 Dec 2;22(1):1250. doi: 10.1186/s12885-022-10315-x.
3
Dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) for pretreatment prediction of neoadjuvant chemotherapy response in locally advanced hypopharyngeal cancer.动态对比增强磁共振成像(DCE-MRI)在局部晚期下咽癌新辅助化疗反应中的预测作用。
Br J Radiol. 2020 Nov 1;93(1115):20200751. doi: 10.1259/bjr.20200751. Epub 2020 Sep 11.
4
Role of dynamic contrast enhanced MRI in monitoring early response of locally advanced breast cancer to neoadjuvant chemotherapy.动态对比增强磁共振成像在监测局部晚期乳腺癌对新辅助化疗早期反应中的作用
Breast Cancer Res Treat. 2005 May;91(1):1-10. doi: 10.1007/s10549-004-5819-2.
5
Multiparametric magnetic resonance imaging for predicting pathological response after the first cycle of neoadjuvant chemotherapy in breast cancer.多参数磁共振成像预测乳腺癌新辅助化疗第一周期后的病理反应
Invest Radiol. 2015 Apr;50(4):195-204. doi: 10.1097/RLI.0000000000000100.
6
Early Prediction of Response to Neoadjuvant Chemotherapy Using Dynamic Contrast-Enhanced MRI and Ultrasound in Breast Cancer.使用动态对比增强 MRI 和超声在乳腺癌中进行新辅助化疗反应的早期预测。
Korean J Radiol. 2018 Jul-Aug;19(4):682-691. doi: 10.3348/kjr.2018.19.4.682. Epub 2018 Jun 14.
7
Early assessment of response to chemotherapy in lung cancer using dynamic contrast-enhanced MRI: a proof-of-concept study.使用动态对比增强磁共振成像对肺癌化疗反应进行早期评估:一项概念验证研究。
Clin Radiol. 2018 Jul;73(7):625-631. doi: 10.1016/j.crad.2018.02.013. Epub 2018 Mar 20.
8
Dynamic contrast-enhanced and diffusion-weighted MR imaging in the characterisation of small, non-palpable solid testicular tumours.动态对比增强和弥散加权磁共振成像在小而不可触及的实体睾丸肿瘤特征中的应用。
Eur Radiol. 2018 Feb;28(2):554-564. doi: 10.1007/s00330-017-5013-7. Epub 2017 Aug 30.
9
Prediction of the response of ocular adnexal lymphoma to chemotherapy using combined pretreatment dynamic contrast-enhanced and diffusion-weighted MRI.使用联合预处理动态对比增强和扩散加权磁共振成像预测眼附属器淋巴瘤对化疗的反应
Acta Radiol. 2016 Dec;57(12):1490-1496. doi: 10.1177/0284185116631181. Epub 2016 Jul 20.
10
Predictive potential of dynamic contrast-enhanced MRI and plasma-derived angiogenic factors for response to concurrent chemoradiotherapy in human papillomavirus-negative oropharyngeal cancer.动态对比增强 MRI 及血浆源性血管生成因子对人乳头瘤病毒阴性口咽鳞癌同步放化疗反应的预测作用。
Radiol Oncol. 2024 Sep 15;58(3):366-375. doi: 10.2478/raon-2024-0044. eCollection 2024 Sep 1.

引用本文的文献

1
Quantitative dynamic contrast-enhanced MRI parameters effectively predict treatment efficacy of neoadjuvant chemotherapy in breast cancer.定量动态对比增强磁共振成像参数可有效预测乳腺癌新辅助化疗的治疗效果。
Am J Transl Res. 2025 Feb 15;17(2):1039-1048. doi: 10.62347/GTIX2261. eCollection 2025.
2
Quantitative Perfusion-Weighted Magnetic Resonance Imaging in Uveal Melanoma.定量灌注加权磁共振成像在葡萄膜黑色素瘤中的应用。
Invest Ophthalmol Vis Sci. 2024 Sep 3;65(11):17. doi: 10.1167/iovs.65.11.17.
3
Early prediction of pathological complete response to neoadjuvant chemotherapy combining DCE-MRI and apparent diffusion coefficient values in breast Cancer.早期预测新辅助化疗结合 DCE-MRI 和表观扩散系数值在乳腺癌中的病理完全缓解。
BMC Cancer. 2022 Dec 2;22(1):1250. doi: 10.1186/s12885-022-10315-x.
4
Pretreatment apparent diffusion coefficient does not predict therapy response to neoadjuvant chemotherapy in breast cancer.预处理表观扩散系数不能预测乳腺癌新辅助化疗的治疗反应。
Breast. 2020 Oct;53:59-67. doi: 10.1016/j.breast.2020.06.001. Epub 2020 Jun 26.
5
Preclinical Molecular Imaging for Precision Medicine in Breast Cancer Mouse Models.临床前分子成像在乳腺癌小鼠模型精准医学中的应用
Contrast Media Mol Imaging. 2019 Sep 22;2019:8946729. doi: 10.1155/2019/8946729. eCollection 2019.

本文引用的文献

1
Multi-site clinical evaluation of DW-MRI as a treatment response metric for breast cancer patients undergoing neoadjuvant chemotherapy.扩散加权磁共振成像作为接受新辅助化疗的乳腺癌患者治疗反应指标的多中心临床评估。
PLoS One. 2015 Mar 27;10(3):e0122151. doi: 10.1371/journal.pone.0122151. eCollection 2015.
2
Variations of dynamic contrast-enhanced magnetic resonance imaging in evaluation of breast cancer therapy response: a multicenter data analysis challenge.动态对比增强磁共振成像在乳腺癌治疗反应评估中的变化:多中心数据分析挑战。
Transl Oncol. 2014 Feb 1;7(1):153-66. doi: 10.1593/tlo.13838. eCollection 2014 Feb.
3
Breast cancer: early prediction of response to neoadjuvant chemotherapy using parametric response maps for MR imaging.乳腺癌:使用磁共振成像参数反应图对新辅助化疗的反应进行早期预测。
Radiology. 2014 Aug;272(2):385-96. doi: 10.1148/radiol.14131332. Epub 2014 Apr 13.
4
MRI in the evaluation of breast cancer patient response to neoadjuvant chemotherapy: predictive factors for breast conservative surgery.MRI 评估乳腺癌患者新辅助化疗反应:保乳手术的预测因素。
Diagn Interv Radiol. 2013 Nov-Dec;19(6):463-70. doi: 10.5152/dir.2013.13201.
5
Diffusion-weighted and dynamic contrast-enhanced MRI in evaluation of early treatment effects during neoadjuvant chemotherapy in breast cancer patients.扩散加权和动态对比增强 MRI 在评估乳腺癌患者新辅助化疗期间早期治疗效果中的应用。
J Magn Reson Imaging. 2011 Nov;34(5):1099-109. doi: 10.1002/jmri.22726. Epub 2011 Aug 23.
6
Early prediction of response to neoadjuvant chemotherapy for locally advanced breast cancer using MRI.利用磁共振成像对局部晚期乳腺癌新辅助化疗反应进行早期预测。
Nagoya J Med Sci. 2011 Aug;73(3-4):147-56.
7
Accuracy of perfusion MRI with high spatial but low temporal resolution to assess invasive breast cancer response to neoadjuvant chemotherapy: a retrospective study.高空间分辨率但低时间分辨率灌注 MRI 评估新辅助化疗治疗浸润性乳腺癌反应的准确性:一项回顾性研究。
BMC Cancer. 2011 Aug 19;11:361. doi: 10.1186/1471-2407-11-361.
8
Comparison of diffusion-weighted MR imaging and FDG PET/CT to predict pathological complete response to neoadjuvant chemotherapy in patients with breast cancer.比较扩散加权磁共振成像和 FDG PET/CT 预测乳腺癌患者新辅助化疗的病理完全缓解。
Eur Radiol. 2012 Jan;22(1):18-25. doi: 10.1007/s00330-011-2236-x. Epub 2011 Aug 16.
9
Functional magnetic resonance: biomarkers of response in breast cancer.功能磁共振:乳腺癌反应的生物标志物。
Breast Cancer Res. 2011 Feb 23;13(1):204. doi: 10.1186/bcr2815.
10
Predicting survival and early clinical response to primary chemotherapy for patients with locally advanced breast cancer using DCE-MRI.使用动态对比增强磁共振成像(DCE-MRI)预测局部晚期乳腺癌患者对原发性化疗的生存情况和早期临床反应。
J Magn Reson Imaging. 2009 Jun;29(6):1300-7. doi: 10.1002/jmri.21778.

动态对比增强磁共振成像及参数成像在监测乳腺癌新辅助化疗反应中的应用:初步报告

DCE-MRI and parametric imaging in monitoring response to neoadjuvant chemotherapy in breast carcinoma: a preliminary report.

作者信息

Sharma Anjna, Sharma Sanjiv, Sood Shikha, Seam Rajeev K, Sharma Mukesh, Fotedar Vikas

机构信息

Department of Radiodiagnosis, Indira Gandhi Medical College, Shimla, H.P., India.

Department of Radiotherapy, Regional Cancer Centre, Indira Gandhi Medical College, Shimla, H.P., India.

出版信息

Pol J Radiol. 2018 May 18;83:e220-e228. doi: 10.5114/pjr.2018.76271. eCollection 2018.

DOI:10.5114/pjr.2018.76271
PMID:30627239
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6323583/
Abstract

PURPOSE

Neoadjuvant chemotherapy is recommended in patients with locally advanced breast cancer. Dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) enables evaluation of the tumour neovasculature that occurs prior to any volume change, which helps identify early treatment failures and allows prompt implementation of second-line therapy.

MATERIAL AND METHODS

We conducted a prospective study in 14 patients with histopathologically proven breast cancer. DCE-MRI data were acquired using multisection, T1-weighted, 3D vibe sequences with fat suppression before, during, and after IV bolus injection (0.1 mmol/kg body weight, Gadoversetamide, Optimark). Post-processing of dynamic contrast perfusion data was done with the vendor's Tissue 4D software to generate various dynamic contrast parameters, i.e. Ktrans, Kep, Ve, initial area under the time signal curve (IAUC), apparent diffusion coefficient (ADC), and enhancement curve. Patients underwent MRI examinations at baseline, and then after two cycles, and finally at completion of chemotherapy.

RESULTS

Based on Sataloff criteria for pathological responses, four patients out of 14 were responders, and 10 were non-responders. At the 2nd MRI examination, IAUC was significantly smaller in responders than in non-responders ( = 0.023). When the results of the first and second MRI examinations were compared, Kep decreased from baseline to the second MRI ( = 0.03) in non-responders and in responders ( = 0.04). This change was statistically significant in both groups. The ADC values increased significantly in responders from baseline to the third MRI ( = 0.012).

CONCLUSIONS

In our study, IAUC and ADC were the only parameters that reliably differentiated responders from non-responders after two and three cycles of chemotherapy.

摘要

目的

对于局部晚期乳腺癌患者,推荐进行新辅助化疗。动态对比增强磁共振成像(DCE-MRI)能够在肿瘤体积发生任何变化之前评估肿瘤新生血管,这有助于识别早期治疗失败情况,并能迅速实施二线治疗。

材料与方法

我们对14例经组织病理学证实的乳腺癌患者进行了一项前瞻性研究。使用多层面、T1加权、3D容积内插屏气检查(vibe)序列并施加脂肪抑制技术,在静脉推注(0.1 mmol/kg体重,钆贝葡胺,Optimark)前、推注期间和推注后采集DCE-MRI数据。利用供应商的Tissue 4D软件对动态对比灌注数据进行后处理,以生成各种动态对比参数,即转运常数(Ktrans)、速率常数(Kep)、血管外细胞外间隙容积分数(Ve)、时间信号曲线下的初始面积(IAUC)、表观扩散系数(ADC)以及增强曲线。患者在基线时、两个周期后以及化疗结束时接受MRI检查。

结果

根据萨塔洛夫病理反应标准,14例患者中有4例为反应者,10例为无反应者。在第二次MRI检查时,反应者的IAUC显著小于无反应者(P = 0.023)。当比较第一次和第二次MRI检查结果时,无反应者和反应者的Kep均从基线降至第二次MRI检查时(无反应者P = 0.03,反应者P = 0.04)。两组的这种变化均具有统计学意义。反应者的ADC值从基线到第三次MRI检查时显著增加(P = 0.012)。

结论

在我们的研究中,IAUC和ADC是仅有的能够在化疗两个周期和三个周期后可靠地区分反应者与无反应者的参数。