• 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

同步性乳腺癌:MRI上的表型相似性

Synchronous Breast Cancer: Phenotypic Similarities on MRI.

作者信息

Wang Hui, van der Velden Bas H M, Chan Hui Shan M, Loo Claudette E, Viergever Max A, Gilhuijs Kenneth G A

机构信息

Image Sciences Institute, University Medical Center Utrecht, Utrecht, Netherlands.

Department of Radiology, Netherlands Cancer Institute-Antoni van Leeuwenhoek Hospital, Amsterdam, Netherlands.

出版信息

J Magn Reson Imaging. 2020 Jun;51(6):1858-1867. doi: 10.1002/jmri.27026. Epub 2019 Dec 19.

DOI:10.1002/jmri.27026
PMID:31854487
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7318126/
Abstract

BACKGROUND

Previous studies have shown discrepancies between index and synchronous breast cancer in histology and molecular phenotype. It is yet unknown whether this observation also applies to the MRI phenotype.

PURPOSE

To investigate whether the appearance of breast cancer on MRI (i.e. phenotype) is different from that of additional breast cancer (i.e. synchronous cancer), and whether such a difference, if it exists, is associated with prognosis.

STUDY TYPE

Retrospective.

POPULATION

In all, 464 consecutive patients with early-stage ER+/HER2- breast cancer were included; 34/464 (7.3%) had 44 synchronous cancers in total (34 ipsilateral, 10 contralateral).

SEQUENCE

1.5T, contrast-enhanced T -weighted.

ASSESSMENT

We assessed imaging phenotype using 50 quantitative features from each cancer and applied principal component analysis (PCA) to identify independent properties. The degree of phenotype difference was assessed. An association between phenotype differences and prognosis in terms of the Nottingham Prognostic Index (NPI) and PREDICT score were analyzed.

STATISTICAL TESTS

PCA; Wilcoxon rank sum test; Benjamini-Hochberg to control the false discovery rate.

RESULTS

PCA identified eight components in patients with ipsilateral synchronous cancer. Six out of eight were significantly different between index and synchronous cancer. These components represented features describing texture (three components, P < 0.001, P < 0.001, P = 0.004), size (P < 0.001), smoothness (P < 0.001), and kinetics (P = 0.004). Phenotype differences in terms of the six components were split in tertiles. Larger phenotype differences in size, kinetics, and texture were associated with significantly worse prognosis in terms of NPI (P = 0.019, P = 0.045, P = 0.014), but not for the PREDICT score (P = 0.109, P = 0.479, P = 0.109). PCA identified six components in patients with contralateral synchronous cancer. None were significantly different from the index cancer (P = 0.178, P = 0.178, P = 0.178, P = 0.326, P = 0.739, P = 0.423).

DATA CONCLUSION

The MRI phenotype of ER+/HER2- breast cancer was different from that of ipsilateral synchronous cancer and a large phenotype difference was associated with worse prognosis. No significant difference was found for synchronous contralateral cancer.

LEVEL OF EVIDENCE

3 Technical Efficacy: Stage 4 J. Magn. Reson. Imaging 2020;51:1858-1867.

摘要

背景

先前的研究表明,原发性乳腺癌与同期乳腺癌在组织学和分子表型上存在差异。目前尚不清楚这一观察结果是否也适用于MRI表型。

目的

研究乳腺癌在MRI上的表现(即表型)是否与其他乳腺癌(即同期癌)不同,以及这种差异(如果存在)是否与预后相关。

研究类型

回顾性研究。

研究对象

总共纳入了464例连续的早期ER+/HER2-乳腺癌患者;其中34/464(7.3%)共患有44例同期癌(34例同侧,10例对侧)。

序列

1.5T,对比增强T加权成像。

评估

我们使用来自每个癌症的50个定量特征评估成像表型,并应用主成分分析(PCA)来识别独立特征。评估表型差异程度。分析表型差异与诺丁汉预后指数(NPI)和预测评分所反映的预后之间的关联。

统计检验

PCA;Wilcoxon秩和检验;Benjamini-Hochberg方法控制错误发现率。

结果

PCA在同侧同期癌患者中识别出八个成分。其中八个中的六个在原发性癌和同期癌之间存在显著差异。这些成分代表了描述纹理(三个成分,P < 0.001,P < 0.001,P = 0.004)、大小(P < 0.001)、平滑度(P < 0.001)和动力学(P = 0.004)的特征。六个成分方面的表型差异分为三分位数。在大小、动力学和纹理方面较大的表型差异与NPI所反映的预后显著较差相关(P = 0.019,P = 0.045,P = 0.014),但与预测评分无关(P = 0.109,P = 0.479,P = 0.109)。PCA在对侧同期癌患者中识别出六个成分。没有一个与原发性癌有显著差异(P = 0.178,P = 0.178,P = 0.178,P = 0.326,P = 0.739,P = 0.423)。

数据结论

ER+/HER2-乳腺癌的MRI表型与同侧同期癌不同,较大的表型差异与较差的预后相关。对侧同期癌未发现显著差异。

证据水平

3 技术效能:4级 J.Magn.Reson.Imaging 2020;51:1858 - 1867。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9ae2/7318126/340dcc15e5ad/JMRI-51-1858-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9ae2/7318126/3f39d9d0cfd7/JMRI-51-1858-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9ae2/7318126/5c6f260b2d40/JMRI-51-1858-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9ae2/7318126/4d8b2f4d8c0b/JMRI-51-1858-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9ae2/7318126/08cdd15dbd17/JMRI-51-1858-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9ae2/7318126/340dcc15e5ad/JMRI-51-1858-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9ae2/7318126/3f39d9d0cfd7/JMRI-51-1858-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9ae2/7318126/5c6f260b2d40/JMRI-51-1858-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9ae2/7318126/4d8b2f4d8c0b/JMRI-51-1858-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9ae2/7318126/08cdd15dbd17/JMRI-51-1858-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9ae2/7318126/340dcc15e5ad/JMRI-51-1858-g005.jpg

相似文献

1
Synchronous Breast Cancer: Phenotypic Similarities on MRI.同步性乳腺癌:MRI上的表型相似性
J Magn Reson Imaging. 2020 Jun;51(6):1858-1867. doi: 10.1002/jmri.27026. Epub 2019 Dec 19.
2
Identifying relations between imaging phenotypes and molecular subtypes of breast cancer: Model discovery and external validation.鉴定乳腺癌影像学表型与分子亚型之间的关系:模型发现与外部验证。
J Magn Reson Imaging. 2017 Oct;46(4):1017-1027. doi: 10.1002/jmri.25661. Epub 2017 Feb 8.
3
Preoperative prediction of sentinel lymph node metastasis in breast cancer by radiomic signatures from dynamic contrast-enhanced MRI.基于动态对比增强 MRI 的放射组学特征预测乳腺癌前哨淋巴结转移。
J Magn Reson Imaging. 2019 Jan;49(1):131-140. doi: 10.1002/jmri.26224. Epub 2018 Sep 1.
4
Intravoxel incoherent motion diffusion-weighted MRI of invasive breast cancer: Correlation with prognostic factors and kinetic features acquired with computer-aided diagnosis.浸润性乳腺癌体素内不相干运动扩散加权 MRI:与预后因素及计算机辅助诊断获得的动力学特征的相关性。
J Magn Reson Imaging. 2019 Jan;49(1):118-130. doi: 10.1002/jmri.26221. Epub 2018 Sep 20.
5
Comparison between an abbreviated and full MRI protocol for detecting additional disease when doing breast cancer staging.在进行乳腺癌分期时,比较简化和完整 MRI 方案检测附加疾病的效果。
J Magn Reson Imaging. 2019 Jun;49(7):e222-e230. doi: 10.1002/jmri.26339. Epub 2018 Oct 22.
6
Evaluating the Relationship Between Dynamic Contrast-Enhanced MRI (DCE-MRI) Parameters and Pathological Characteristics in Breast Cancer.评估动态对比增强磁共振成像(DCE-MRI)参数与乳腺癌病理特征之间的关系。
J Magn Reson Imaging. 2020 Nov;52(5):1360-1373. doi: 10.1002/jmri.27241. Epub 2020 Jun 10.
7
Multiparametric MRI model with dynamic contrast-enhanced and diffusion-weighted imaging enables breast cancer diagnosis with high accuracy.多参数 MRI 模型结合动态对比增强和弥散加权成像可实现高准确率的乳腺癌诊断。
J Magn Reson Imaging. 2019 Mar;49(3):864-874. doi: 10.1002/jmri.26285. Epub 2018 Oct 30.
8
Can imaging kinetic parameters of dynamic contrast-enhanced magnetic resonance imaging be valuable in predicting clinicopathological prognostic factors of invasive breast cancer?动态对比增强磁共振成像的成像动力学参数在预测浸润性乳腺癌的临床病理预后因素方面是否有价值?
Acta Radiol. 2018 Jul;59(7):813-821. doi: 10.1177/0284185117740746. Epub 2017 Nov 6.
9
Diffusion-weighted imaging (DWI) with apparent diffusion coefficient (ADC) mapping as a quantitative imaging biomarker for prediction of immunohistochemical receptor status, proliferation rate, and molecular subtypes of breast cancer.弥散加权成像(DWI)及其表观扩散系数(ADC)图作为一种定量影像学生物标志物,可预测乳腺癌的免疫组织化学受体状态、增殖率和分子亚型。
J Magn Reson Imaging. 2019 Sep;50(3):836-846. doi: 10.1002/jmri.26697. Epub 2019 Feb 27.
10
Intratumor partitioning and texture analysis of dynamic contrast-enhanced (DCE)-MRI identifies relevant tumor subregions to predict pathological response of breast cancer to neoadjuvant chemotherapy.动态对比增强(DCE)-MRI的肿瘤内分区及纹理分析可识别相关肿瘤亚区域,以预测乳腺癌对新辅助化疗的病理反应。
J Magn Reson Imaging. 2016 Nov;44(5):1107-1115. doi: 10.1002/jmri.25279. Epub 2016 Apr 15.

本文引用的文献

1
Evaluation of Biomarkers in Multiple Ipsilateral Synchronous Invasive Breast Carcinomas.多灶同侧同步浸润性乳腺癌中生物标志物的评估。
Arch Pathol Lab Med. 2019 Feb;143(2):190-196. doi: 10.5858/arpa.2017-0494-OA. Epub 2018 Sep 7.
2
An updated PREDICT breast cancer prognostication and treatment benefit prediction model with independent validation.一种经过更新且具有独立验证的PREDICT乳腺癌预后及治疗获益预测模型。
Breast Cancer Res. 2017 May 22;19(1):58. doi: 10.1186/s13058-017-0852-3.
3
MR Imaging Radiomics Signatures for Predicting the Risk of Breast Cancer Recurrence as Given by Research Versions of MammaPrint, Oncotype DX, and PAM50 Gene Assays.
用于预测MammaPrint、Oncotype DX和PAM50基因检测研究版本所给出的乳腺癌复发风险的磁共振成像放射组学特征
Radiology. 2016 Nov;281(2):382-391. doi: 10.1148/radiol.2016152110. Epub 2016 May 5.
4
Breast MRI radiogenomics: Current status and research implications.乳腺MRI放射基因组学:现状与研究意义。
J Magn Reson Imaging. 2016 Jun;43(6):1269-78. doi: 10.1002/jmri.25116. Epub 2015 Dec 10.
5
Radiomics: Images Are More than Pictures, They Are Data.放射组学:图像不止是图片,它们是数据。
Radiology. 2016 Feb;278(2):563-77. doi: 10.1148/radiol.2015151169. Epub 2015 Nov 18.
6
Radiogenomics: what it is and why it is important.放射基因组学:是什么以及为何重要。
J Am Coll Radiol. 2015 Aug;12(8):862-6. doi: 10.1016/j.jacr.2015.04.019.
7
Uncovering the genomic heterogeneity of multifocal breast cancer.揭示多灶性乳腺癌的基因组异质性。
J Pathol. 2015 Aug;236(4):457-66. doi: 10.1002/path.4540. Epub 2015 May 7.
8
Molecular phenotype of the foci in multifocal invasive breast carcinomas: intertumoral heterogeneity is related to shorter survival and may influence the choice of therapy.多灶性浸润性乳腺癌病灶的分子表型:肿瘤间异质性与较短的生存时间相关,并可能影响治疗选择。
Cancer. 2014 Jan 1;120(1):26-34. doi: 10.1002/cncr.28375. Epub 2013 Oct 11.
9
Fully automated deformable registration of breast DCE-MRI and PET/CT.全自动化的乳腺 DCE-MRI 和 PET/CT 配准
Phys Med Biol. 2013 Feb 21;58(4):1221-33. doi: 10.1088/0031-9155/58/4/1221. Epub 2013 Feb 1.
10
Reproducibility of dynamic contrast-enhanced MR imaging. Part II. Comparison of intra- and interobserver variability with manual region of interest placement versus semiautomatic lesion segmentation and histogram analysis.动态对比增强磁共振成像的可重复性。第二部分。手动感兴趣区放置与半自动病变分割和直方图分析的观察者内和观察者间变异性比较。
Radiology. 2013 Mar;266(3):812-21. doi: 10.1148/radiol.12120255. Epub 2012 Dec 6.