Suppr超能文献

扩散加权成像联合表观扩散系数图在乳腺癌检测中的应用:与动态对比增强和多参数磁共振成像的比较。

Diffusion-Weighted Imaging With Apparent Diffusion Coefficient Mapping for Breast Cancer Detection as a Stand-Alone Parameter: Comparison With Dynamic Contrast-Enhanced and Multiparametric Magnetic Resonance Imaging.

机构信息

Center for Advanced Imaging Innovation and Research, Laura and Isaac Perlmutter Cancer Center, New York University of Medicine.

Department of Radiology, Radboud University Nijmegen, Nijmegen, the Netherlands.

出版信息

Invest Radiol. 2018 Oct;53(10):587-595. doi: 10.1097/RLI.0000000000000465.

Abstract

PURPOSE

The aims of this study were to compare dynamic contrast-enhanced (DCE) magnetic resonance imaging (MRI) with diffusion-weighted imaging (DWI) with apparent diffusion coefficient mapping as a stand-alone parameter without any other supportive sequence for breast cancer detection and to assess its combination as multiparametric MRI (mpMRI) of the breast.

MATERIALS AND METHODS

In this institutional review board-approved single-center study, prospectively acquired data of 106 patients who underwent breast MRI from 12/2010 to 09/2014 for an imaging abnormality (Breast Imaging Reporting and Data System 0, 4/5) were retrospectively analyzed. Four readers independently assessed DWI and DCE as well as combined as mpMRI. Breast Imaging Reporting and Data System categories, lesion size, and mean apparent diffusion coefficient values were recorded. Histopathology was used as the gold standard. Appropriate statistical tests were used to compare diagnostic values.

RESULTS

There were 69 malignant and 41 benign tumors in 106 patients. Four patients presented with bilateral lesions. Dynamic contrast-enhanced MRI was the most sensitive test for breast cancer detection, with an average sensitivity of 100%. Diffusion-weighted imaging alone was less sensitive (82%; P < 0.001) but more specific than DCE-MRI (86.8% vs 76.6%; P = 0.002). Diagnostic accuracy was 83.7% for DWI and 90.6% for DCE-MRI. Multiparametric MRI achieved a sensitivity of 96.8%, not statistically different from DCE-MRI (P = 0.12) and with a similar specificity as DWI (83.8%; P = 0.195), maximizing diagnostic accuracy to 91.9%. There was almost perfect interreader agreement for DWI (κ = 0.864) and DCE-MRI (κ = 0.875) for differentiation of benign and malignant lesions.

CONCLUSION

Dynamic contrast-enhanced MRI is most sensitive for breast cancer detection and thus still indispensable. Multiparametric MRI using DCE-MRI and DWI maintains a high sensitivity, increases specificity, and maximizes diagnostic accuracy, often preventing unnecessary breast biopsies. Diffusion-weighted imaging should not be used as a stand-alone parameter because it detects significantly fewer cancers in comparison with DCE-MRI and mpMRI.

摘要

目的

本研究旨在比较动态对比增强(DCE)磁共振成像(MRI)与弥散加权成像(DWI)联合表观弥散系数图作为一种独立参数,而不联合任何其他辅助序列在乳腺癌检测中的应用,并评估其作为多参数 MRI(mpMRI)的联合应用。

材料与方法

本研究经机构审查委员会批准,回顾性分析了 2010 年 12 月至 2014 年 9 月期间 106 例因影像学异常(乳腺影像报告和数据系统 0 或 4/5 级)而接受乳腺 MRI 检查的患者的前瞻性采集数据。4 位读者独立评估 DWI 和 DCE 以及联合 mpMRI。记录乳腺影像报告和数据系统分类、病变大小和平均表观弥散系数值。以组织病理学为金标准。采用适当的统计检验比较诊断价值。

结果

106 例患者中,69 例为恶性肿瘤,41 例为良性肿瘤。4 例患者为双侧病变。动态对比增强 MRI 是检测乳腺癌最敏感的检查方法,平均灵敏度为 100%。单独使用弥散加权成像的敏感性较低(82%;P<0.001),但特异性高于 DCE-MRI(86.8%比 76.6%;P=0.002)。DWI 的诊断准确性为 83.7%,DCE-MRI 的诊断准确性为 90.6%。多参数 MRI 的敏感性为 96.8%,与 DCE-MRI 无统计学差异(P=0.12),特异性与 DWI 相似(83.8%;P=0.195),诊断准确性最高达 91.9%。DWI(κ=0.864)和 DCE-MRI(κ=0.875)对良恶性病变的鉴别具有近乎完美的读者间一致性。

结论

动态对比增强 MRI 对乳腺癌检测最敏感,因此仍然不可或缺。多参数 MRI 联合使用 DCE-MRI 和 DWI 可保持较高的敏感性,提高特异性,最大限度地提高诊断准确性,经常可以避免不必要的乳腺活检。弥散加权成像不应作为独立参数使用,因为与 DCE-MRI 和 mpMRI 相比,它检测到的癌症明显较少。

相似文献

引用本文的文献

3
Breast MRI to Screen Women With Extremely Dense Breasts.乳腺磁共振成像用于筛查乳腺极度致密的女性。
J Magn Reson Imaging. 2025 Jul;62(1):58-72. doi: 10.1002/jmri.29716. Epub 2025 Jan 24.
4
Standardization and advancements efforts in breast diffusion-weighted imaging.乳腺扩散加权成像的标准化及进展工作
Jpn J Radiol. 2025 Mar;43(3):347-354. doi: 10.1007/s11604-024-01696-z. Epub 2024 Dec 6.
9
Non-contrast Breast MR Imaging.乳腺非增强磁共振成像
Radiol Clin North Am. 2024 Jul;62(4):661-678. doi: 10.1016/j.rcl.2023.12.009. Epub 2024 Mar 7.

本文引用的文献

5
Breast cancer detection and tumor characteristics in BRCA1 and BRCA2 mutation carriers.BRCA1和BRCA2突变携带者的乳腺癌检测及肿瘤特征
Breast Cancer Res Treat. 2017 Jun;163(3):565-571. doi: 10.1007/s10549-017-4198-4. Epub 2017 Mar 25.

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验