• 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

体素内不相干运动磁共振成像在乳腺癌中的应用:与分子亚型和组织学分级的比较。

Intravoxel incoherent motion magnetic resonance imaging for breast cancer: A comparison with molecular subtypes and histological grades.

机构信息

Department of Radiology, School of Medicine, Kocaeli University, Kocaeli, Turkey.

Pfizer, Istanbul, Turkey.

出版信息

Magn Reson Imaging. 2021 May;78:35-41. doi: 10.1016/j.mri.2021.02.005. Epub 2021 Feb 6.

DOI:10.1016/j.mri.2021.02.005
PMID:33556485
Abstract

PURPOSE

The purpose of this paper is to investigate whether the IVIM parameters (D, D *, f) helps to determine the molecular subtypes and histological grades of breast cancer.

METHODS

Fifty-one patients with breast cancer were included in the study. All subjects were examined by 3 T Magnetic Resonance Imaging (MRI). Diffusion-weighted imaging (DWI) was undertaken with 16 b-values. IVIM parameters [D (true diffusion coefficient), D* (pseudo-diffusion coefficient), f (perfusion fraction)] were calculated. Histopathological reports were reviewed to histological grade, histological type, and immunohistochemistry. IVIM parameters of tumors with different histological grades and molecular subtypes were compared.

RESULTS

D* and f were significantly different between molecular subtypes (p = 0.019, p = 0.03 respectively). D* and f were higher in the HER-2 group and lower in Triple negative (-) group (D*:36.8 × 10 ± 5.3 × 10 mm/s, f:29.5%, D*:29.8 × 10 ± 5.6 × 10 mm/s, f:21.5% respectively). There was a significant difference in D* and f between HER-2 and Triple (-) subgroups (p = 0,028, p = 0.024, respectively). D* was also significantly different between the HER-2 group and the Luminal group (p = 0,041). While histological grades increase, D and f values tend to decrease, and D* tends to increase. While the Ki-67 index increases, D* and f values tend to increase, and D tend to decrease.

CONCLUSION

D* and f values measured with IVIM imaging were useful for assessing breast cancer molecular subtyping. IVIM imaging may be an alternative to breast biopsy for sub-typing of breast cancer with further research.

摘要

目的

本文旨在探讨 IVIM 参数(D、D*、f)是否有助于确定乳腺癌的分子亚型和组织学分级。

方法

本研究纳入了 51 例乳腺癌患者。所有患者均接受 3T 磁共振成像(MRI)检查。采用 16 个 b 值进行扩散加权成像(DWI)。计算 IVIM 参数[D(真实扩散系数)、D*(假性扩散系数)、f(灌注分数)]。回顾组织病理学报告以确定组织学分级、组织学类型和免疫组织化学。比较不同组织学分级和分子亚型肿瘤的 IVIM 参数。

结果

分子亚型之间 D和 f 差异有统计学意义(p=0.019,p=0.03)。HER-2 组 D和 f 较高,三阴性(-)组较低(D*:36.8×10±5.3×10mm/s,f:29.5%,D*:29.8×10±5.6×10mm/s,f:21.5%)。HER-2 组和三阴性(-)亚组之间 D和 f 差异有统计学意义(p=0.028,p=0.024)。D在 HER-2 组和管腔组之间也有显著差异(p=0.041)。随着组织学分级的增加,D 和 f 值趋于降低,而 D趋于升高。随着 Ki-67 指数的增加,D和 f 值趋于升高,而 D 趋于降低。

结论

IVIM 成像测量的 D*和 f 值有助于评估乳腺癌的分子分型。IVIM 成像可能是替代乳腺癌活检进行乳腺癌亚型分类的一种方法,需要进一步研究。

相似文献

1
Intravoxel incoherent motion magnetic resonance imaging for breast cancer: A comparison with molecular subtypes and histological grades.体素内不相干运动磁共振成像在乳腺癌中的应用:与分子亚型和组织学分级的比较。
Magn Reson Imaging. 2021 May;78:35-41. doi: 10.1016/j.mri.2021.02.005. Epub 2021 Feb 6.
2
Intravoxel incoherent motion diffusion-weighted magnetic resonance imaging for predicting histological grade of hepatocellular carcinoma: Comparison with conventional diffusion-weighted imaging.体素内不相干运动扩散加权磁共振成像预测肝细胞癌组织学分级:与常规扩散加权成像的比较。
World J Gastroenterol. 2018 Feb 28;24(8):929-940. doi: 10.3748/wjg.v24.i8.929.
3
Prediction of Prognostic Factors and Genotypes in Patients With Breast Cancer Using Multiple Mathematical Models of MR Diffusion Imaging.使用磁共振扩散成像的多种数学模型预测乳腺癌患者的预后因素和基因型
Front Oncol. 2022 Jan 31;12:825264. doi: 10.3389/fonc.2022.825264. eCollection 2022.
4
Intravoxel incoherent motion (IVIM) in evaluation of breast lesions: comparison with conventional DWI.体素内不相干运动(IVIM)在评估乳腺病变中的应用:与常规 DWI 的比较。
Eur J Radiol. 2013 Dec;82(12):e782-9. doi: 10.1016/j.ejrad.2013.08.006. Epub 2013 Aug 13.
5
Differentiation Between Luminal-A and Luminal-B Breast Cancer Using Intravoxel Incoherent Motion and Dynamic Contrast-Enhanced Magnetic Resonance Imaging.利用体素内不相干运动和动态对比增强磁共振成像鉴别腔面A型和腔面B型乳腺癌
Acad Radiol. 2017 Dec;24(12):1575-1581. doi: 10.1016/j.acra.2017.06.016. Epub 2017 Aug 1.
6
3T multiparametric MRI of the prostate: Does intravoxel incoherent motion diffusion imaging have a role in the detection and stratification of prostate cancer in the peripheral zone?前列腺的3T多参数磁共振成像:体素内不相干运动扩散成像在周围区前列腺癌的检测和分层中起作用吗?
Eur J Radiol. 2016 Apr;85(4):790-4. doi: 10.1016/j.ejrad.2016.01.006. Epub 2016 Jan 20.
7
Prediction of the Nottingham prognostic index and molecular subtypes of breast cancer through multimodal magnetic resonance imaging.通过多模态磁共振成像预测乳腺癌的诺丁汉预后指数和分子亚型。
Magn Reson Imaging. 2024 May;108:168-175. doi: 10.1016/j.mri.2024.02.012. Epub 2024 Feb 24.
8
Application of intravoxel incoherent motion diffusion-weighted imaging in differential diagnosis and molecular subtype analysis of breast cancer.体素内不相干运动扩散加权成像在乳腺癌鉴别诊断及分子亚型分析中的应用
Am J Transl Res. 2021 Apr 15;13(4):3034-3043. eCollection 2021.
9
Intravoxel incoherent motion imaging for diagnosing and staging the liver fibrosis and inflammation.体素内不相干运动成像在诊断和分期肝纤维化和炎症中的应用。
Abdom Radiol (NY). 2020 Jan;45(1):15-23. doi: 10.1007/s00261-019-02300-z.
10
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.

引用本文的文献

1
Three-dimensional turbo-spin-echo amide proton transfer-weighted and intravoxel incoherent motion imaging mri for triple-negative breast cancer: a comparison with molecular subtypes and histological grades.三维涡轮自旋回波酰胺质子转移加权和体素内不相干运动成像MRI用于三阴性乳腺癌:与分子亚型和组织学分级的比较
BMC Cancer. 2025 Mar 14;25(1):465. doi: 10.1186/s12885-025-13879-6.
2
A prediction model based on dual-layer spectral detector computed tomography for distinguishing nonluminal from luminal invasive breast cancer.基于双层光谱探测器计算机断层扫描的鉴别非腔内与腔内浸润性乳腺癌的预测模型。
Quant Imaging Med Surg. 2024 Dec 5;14(12):8672-8685. doi: 10.21037/qims-24-598. Epub 2024 Nov 11.
3
Multimodal apparent diffusion MRI model in noninvasive evaluation of breast cancer and Ki-67 expression.
多模态表观扩散 MRI 模型在无创评估乳腺癌及 Ki-67 表达中的应用。
Cancer Imaging. 2024 Oct 11;24(1):137. doi: 10.1186/s40644-024-00780-x.
4
Comparison of the monoexponential and biexponential models of diffusion-weighted magnetic imaging in grading clear-cell renal cell carcinoma: a case-control study.扩散加权磁共振成像单指数模型与双指数模型在透明细胞肾细胞癌分级中的比较:一项病例对照研究
Transl Androl Urol. 2024 May 31;13(5):792-801. doi: 10.21037/tau-24-141. Epub 2024 May 28.
5
Breast Cancer Subtypes and Quantitative Magnetic Resonance Imaging: A Systemic Review.乳腺癌亚型与定量磁共振成像:一项系统综述
Life (Basel). 2022 Mar 28;12(4):490. doi: 10.3390/life12040490.
6
Prediction of Prognostic Factors and Genotypes in Patients With Breast Cancer Using Multiple Mathematical Models of MR Diffusion Imaging.使用磁共振扩散成像的多种数学模型预测乳腺癌患者的预后因素和基因型
Front Oncol. 2022 Jan 31;12:825264. doi: 10.3389/fonc.2022.825264. eCollection 2022.