• 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

MRI 增强在肿瘤周围间质组织中的表现:与新辅助化疗后无复发生存的关系。

MRI enhancement in stromal tissue surrounding breast tumors: association with recurrence free survival following neoadjuvant chemotherapy.

机构信息

Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, California, United States of America.

出版信息

PLoS One. 2013 May 7;8(5):e61969. doi: 10.1371/journal.pone.0061969. Print 2013.

DOI:10.1371/journal.pone.0061969
PMID:23667451
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3646993/
Abstract

RATIONALE AND OBJECTIVES

Normal-appearing stromal tissues surrounding breast tumors can harbor abnormalities that lead to increased risk of local recurrence. The objective of this study was to develop a new imaging methodology to characterize the signal patterns of stromal tissue and to investigate their association with recurrence-free survival following neoadjuvant chemotherapy.

MATERIALS AND METHODS

Fifty patients with locally-advanced breast cancer were imaged with dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) before (V1) and after one cycle (V2) of adriamycin-cytoxan therapy. Contrast enhancement in normal-appearing stroma around the tumor was characterized by the mean percent enhancement (PE) and mean signal enhancement ratio (SER) in distance bands of 5 mm from the tumor edge. Global PE and SER were calculated by averaging all stromal bands 5 to 40 mm from tumor. Proximity-dependent PE and SER were analyzed using a linear mixed effects model and Cox proportional hazards model for recurrence-free survival.

RESULTS

The mixed effects model displayed a decreasing radial trend in PE at both V1 and V2. An increasing trend was less pronounced in SER. Survival analysis showed that the hazard ratio estimates for each unit decrease in global SER was statistically significant at V1 [estimated hazard ratio = 0.058, 95% Wald CI (0.003, 1.01), likelihood ratio p = 0.03]; but was not so for V2.

CONCLUSIONS

These findings show that stromal tissue outside the tumor can be quantitatively characterized by DCE-MRI, and suggest that stromal enhancement measurements may be further developed for use as a potential predictor of recurrence/disease-free survival following therapy.

摘要

背景与目的

肿瘤周围看似正常的间质组织可能存在异常,从而导致局部复发风险增加。本研究旨在开发一种新的成像方法来描述间质组织的信号模式,并探讨其与新辅助化疗后无复发生存的关系。

材料与方法

50 例局部晚期乳腺癌患者在接受阿霉素-环磷酰胺治疗前(V1)和一周期后(V2)进行了动态对比增强磁共振成像(DCE-MRI)。通过距离肿瘤边缘 5mm 的距离带,计算正常间质组织的平均增强百分比(PE)和平均信号增强比(SER)来描述肿瘤周围正常间质组织的对比增强情况。通过对距离肿瘤 5 至 40mm 的所有间质带进行平均计算,得出全局 PE 和 SER。采用线性混合效应模型和 Cox 比例风险模型分析临近依赖性 PE 和 SER 与无复发生存的关系。

结果

混合效应模型显示,在 V1 和 V2 时,PE 均呈现出从中心向边缘逐渐降低的径向趋势。SER 的上升趋势则不那么明显。生存分析显示,在 V1 时,全局 SER 每降低一个单位的风险比估计值具有统计学意义[估计风险比=0.058,95% Wald CI(0.003,1.01),似然比 p=0.03];而在 V2 时则不然。

结论

这些发现表明,DCE-MRI 可定量描述肿瘤周围的间质组织,提示间质增强测量值可能进一步开发为治疗后复发/无病生存的潜在预测指标。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fe5f/3646993/9f9d29ebdd3a/pone.0061969.g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fe5f/3646993/7955bae84035/pone.0061969.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fe5f/3646993/cdcf7bf12d6f/pone.0061969.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fe5f/3646993/e9a2ca7d89e4/pone.0061969.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fe5f/3646993/e4af4c8549ce/pone.0061969.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fe5f/3646993/9f9d29ebdd3a/pone.0061969.g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fe5f/3646993/7955bae84035/pone.0061969.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fe5f/3646993/cdcf7bf12d6f/pone.0061969.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fe5f/3646993/e9a2ca7d89e4/pone.0061969.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fe5f/3646993/e4af4c8549ce/pone.0061969.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fe5f/3646993/9f9d29ebdd3a/pone.0061969.g005.jpg

相似文献

1
MRI enhancement in stromal tissue surrounding breast tumors: association with recurrence free survival following neoadjuvant chemotherapy.MRI 增强在肿瘤周围间质组织中的表现:与新辅助化疗后无复发生存的关系。
PLoS One. 2013 May 7;8(5):e61969. doi: 10.1371/journal.pone.0061969. Print 2013.
2
Breast stromal enhancement on MRI is associated with response to neoadjuvant chemotherapy.MRI上乳腺间质强化与新辅助化疗反应相关。
AJR Am J Roentgenol. 2008 Jun;190(6):1630-6. doi: 10.2214/AJR.07.2533.
3
Optimized breast MRI functional tumor volume as a biomarker of recurrence-free survival following neoadjuvant chemotherapy.优化后的乳腺MRI功能肿瘤体积作为新辅助化疗后无复发生存的生物标志物。
J Magn Reson Imaging. 2014 Aug;40(2):476-82. doi: 10.1002/jmri.24351. Epub 2013 Dec 18.
4
Breast parenchymal signal enhancement ratio at preoperative magnetic resonance imaging: association with early recurrence in triple-negative breast cancer patients.术前磁共振成像中乳腺实质信号增强率:与三阴性乳腺癌患者早期复发的关联
Acta Radiol. 2016 Jul;57(7):802-8. doi: 10.1177/0284185115609803. Epub 2015 Oct 28.
5
Effect of Imaging Parameter Thresholds on MRI Prediction of Neoadjuvant Chemotherapy Response in Breast Cancer Subtypes.成像参数阈值对乳腺癌亚型新辅助化疗反应的MRI预测的影响。
PLoS One. 2016 Feb 17;11(2):e0142047. doi: 10.1371/journal.pone.0142047. eCollection 2016.
6
Invasive breast cancer: predicting disease recurrence by using high-spatial-resolution signal enhancement ratio imaging.浸润性乳腺癌:利用高空间分辨率信号增强比成像预测疾病复发
Radiology. 2008 Jul;248(1):79-87. doi: 10.1148/radiol.2481070846.
7
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.
8
Contrast-enhanced MRI after neoadjuvant chemotherapy of breast cancer: lesion-to-background parenchymal signal enhancement ratio for discriminating pathological complete response from minimal residual tumour.乳腺癌新辅助化疗后增强 MRI:病灶与背景实质信号增强比值鉴别病理完全缓解与微小残留病灶。
Eur Radiol. 2018 Jul;28(7):2986-2995. doi: 10.1007/s00330-017-5251-8. Epub 2018 Jan 29.
9
Background parenchymal signal enhancement ratio at preoperative MR imaging: association with subsequent local recurrence in patients with ductal carcinoma in situ after breast conservation surgery.术前磁共振成像背景实质信号增强比:与保乳手术后乳腺原位癌患者局部复发的关系。
Radiology. 2014 Mar;270(3):699-707. doi: 10.1148/radiol.13130459. Epub 2013 Oct 28.
10
Background Parenchymal Enhancement on Preoperative Magnetic Resonance Imaging: Association With Recurrence-Free Survival in Breast Cancer Patients Treated With Neoadjuvant Chemotherapy.背景:术前磁共振成像的实质强化与接受新辅助化疗的乳腺癌患者无复发生存率的关联
Medicine (Baltimore). 2016 Mar;95(9):e3000. doi: 10.1097/MD.0000000000003000.

引用本文的文献

1
The influence of hepatic arterial blood flow rate on holmium microsphere distribution: an MRI study in perfused porcine livers.肝动脉血流速率对钬微球分布的影响:灌注猪肝的MRI研究
Eur Radiol Exp. 2025 Aug 6;9(1):69. doi: 10.1186/s41747-025-00609-7.
2
Personalized Breast Cancer Prognosis Using a Model Based on MRI and Clinicopathological Variables.使用基于MRI和临床病理变量的模型进行个性化乳腺癌预后评估
J Imaging Inform Med. 2025 Apr 15. doi: 10.1007/s10278-025-01500-y.
3
Assessment of Response to Neoadjuvant Systemic Treatment in Triple-Negative Breast Cancer Using Functional Tumor Volumes from Longitudinal Dynamic Contrast-Enhanced MRI.

本文引用的文献

1
High-resolution diffusion-weighted magnetic resonance imaging in patients with locally advanced breast cancer.局部进展期乳腺癌患者的高分辨率弥散加权磁共振成像。
Acad Radiol. 2012 May;19(5):526-34. doi: 10.1016/j.acra.2011.11.003. Epub 2011 Dec 22.
2
Systematic analysis of breast cancer morphology uncovers stromal features associated with survival.系统分析乳腺癌形态学揭示了与生存相关的基质特征。
Sci Transl Med. 2011 Nov 9;3(108):108ra113. doi: 10.1126/scitranslmed.3002564.
3
Use of dynamic contrast-enhanced MR imaging to predict survival in patients with primary breast cancer undergoing neoadjuvant chemotherapy.
使用纵向动态对比增强MRI的功能性肿瘤体积评估三阴性乳腺癌对新辅助全身治疗的反应
Cancers (Basel). 2023 Feb 6;15(4):1025. doi: 10.3390/cancers15041025.
4
Evaluation of blood-brain barrier integrity by the analysis of dynamic contrast-enhanced MRI - a comparison of quantitative and semi-quantitative methods.动态对比增强 MRI 分析评估血脑屏障完整性 - 定量与半定量方法的比较。
Physiol Res. 2022 Dec 31;71(S2):S259-S275. doi: 10.33549/physiolres.934998.
5
Focus on the Predictive Value of Subclassification of Extratumoral Structural Abnormalities for Malignant Nonspiculate and Noncalcified Masses on Digital Mammography.关注数字化乳腺摄影中肿瘤外结构异常亚分类对恶性非毛刺状和非钙化肿块的预测价值。
Front Genet. 2022 Feb 4;13:822858. doi: 10.3389/fgene.2022.822858. eCollection 2022.
6
Predicting cancer outcomes with radiomics and artificial intelligence in radiology.利用放射组学和人工智能技术预测癌症预后。
Nat Rev Clin Oncol. 2022 Feb;19(2):132-146. doi: 10.1038/s41571-021-00560-7. Epub 2021 Oct 18.
7
Mask-Guided Convolutional Neural Network for Breast Tumor Prognostic Outcome Prediction on 3D DCE-MR Images.基于 3D DCE-MR 图像的乳腺肿瘤预后结果预测的掩模引导卷积神经网络。
J Digit Imaging. 2021 Jun;34(3):630-636. doi: 10.1007/s10278-021-00449-y. Epub 2021 Apr 22.
8
Background parenchymal enhancement and breast cancer: a review of the emerging evidences about its potential use as imaging biomarker.背景实质增强与乳腺癌:对其作为影像学生物标志物潜在应用的新证据的综述。
Br J Radiol. 2021 Mar 1;94(1119):20200630. doi: 10.1259/bjr.20200630. Epub 2020 Oct 15.
9
New Technologies to Image Tumors.肿瘤成像新技术。
Cancer Treat Res. 2020;180:51-94. doi: 10.1007/978-3-030-38862-1_2.
10
Population-Based Assessment of the Association Between Magnetic Resonance Imaging Background Parenchymal Enhancement and Future Primary Breast Cancer Risk.基于人群的 MRI 背景实质增强与未来原发性乳腺癌风险的相关性评估。
J Clin Oncol. 2019 Apr 20;37(12):954-963. doi: 10.1200/JCO.18.00378. Epub 2019 Jan 9.
应用动态对比增强磁共振成像预测接受新辅助化疗的原发性乳腺癌患者的生存情况。
Radiology. 2011 Jul;260(1):68-78. doi: 10.1148/radiol.11102493. Epub 2011 Apr 18.
4
Topographic enhancement mapping of the cancer-associated breast stroma using breast MRI.利用乳腺 MRI 进行癌相关乳腺基质的拓扑增强映射。
Integr Biol (Camb). 2011 Apr;3(4):490-6. doi: 10.1039/c0ib00089b. Epub 2011 Mar 18.
5
Diffusion tensor MRI: preliminary anisotropy measures and mapping of breast tumors.弥散张量 MRI:乳腺肿瘤的初步各向异性测量和绘图。
J Magn Reson Imaging. 2010 Feb;31(2):339-47. doi: 10.1002/jmri.22045.
6
Invasive breast cancer: predicting disease recurrence by using high-spatial-resolution signal enhancement ratio imaging.浸润性乳腺癌:利用高空间分辨率信号增强比成像预测疾病复发
Radiology. 2008 Jul;248(1):79-87. doi: 10.1148/radiol.2481070846.
7
Breast stromal enhancement on MRI is associated with response to neoadjuvant chemotherapy.MRI上乳腺间质强化与新辅助化疗反应相关。
AJR Am J Roentgenol. 2008 Jun;190(6):1630-6. doi: 10.2214/AJR.07.2533.
8
Stromal gene expression predicts clinical outcome in breast cancer.基质基因表达可预测乳腺癌的临床结局。
Nat Med. 2008 May;14(5):518-27. doi: 10.1038/nm1764. Epub 2008 Apr 27.
9
Quantification of breast tissue index from MR data using fuzzy clustering.使用模糊聚类从磁共振成像(MR)数据中量化乳腺组织指数
Conf Proc IEEE Eng Med Biol Soc. 2004;2004:1667-70. doi: 10.1109/IEMBS.2004.1403503.
10
Dynamic contrast-enhanced magnetic resonance imaging as an imaging biomarker.动态对比增强磁共振成像作为一种成像生物标志物。
J Clin Oncol. 2006 Jul 10;24(20):3293-8. doi: 10.1200/JCO.2006.06.8080.