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本文引用的文献

1
Motion-robust reconstruction of multishot diffusion-weighted images without phase estimation through locally low-rank regularization.通过局部低秩正则化实现多shot 扩散加权图像的运动鲁棒重建,无需相位估计。
Magn Reson Med. 2019 Feb;81(2):1181-1190. doi: 10.1002/mrm.27488. Epub 2018 Oct 22.
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Quantitative diffusion MRI using reduced field-of-view and multi-shot acquisition techniques: Validation in phantoms and prostate imaging.使用缩小视野和多激发采集技术的定量扩散磁共振成像:在体模和前列腺成像中的验证
Magn Reson Imaging. 2018 Sep;51:173-181. doi: 10.1016/j.mri.2018.04.006. Epub 2018 Apr 17.
3
3D-MB-MUSE: A robust 3D multi-slab, multi-band and multi-shot reconstruction approach for ultrahigh resolution diffusion MRI.3D-MB-MUSE:一种用于超高分辨率扩散 MRI 的稳健的三维多切片、多带宽和多激发重建方法。
Neuroimage. 2017 Oct 1;159:46-56. doi: 10.1016/j.neuroimage.2017.07.035. Epub 2017 Jul 18.
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Image formation in diffusion MRI: A review of recent technical developments.扩散磁共振成像中的图像形成:近期技术发展综述。
J Magn Reson Imaging. 2017 Sep;46(3):646-662. doi: 10.1002/jmri.25664. Epub 2017 Feb 14.
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Diffusion-weighted breast MRI: Clinical applications and emerging techniques.扩散加权乳腺磁共振成像:临床应用与新兴技术。
J Magn Reson Imaging. 2017 Feb;45(2):337-355. doi: 10.1002/jmri.25479. Epub 2016 Sep 30.
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Motion immune diffusion imaging using augmented MUSE for high-resolution multi-shot EPI.使用增强型MUSE的运动免疫扩散成像用于高分辨率多次激发EPI。
Magn Reson Med. 2016 Feb;75(2):639-52. doi: 10.1002/mrm.25624. Epub 2015 Mar 11.
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Interleaved EPI based fMRI improved by multiplexed sensitivity encoding (MUSE) and simultaneous multi-band imaging.基于交错回波平面成像的功能磁共振成像通过多重灵敏度编码(MUSE)和同时多频段成像得到改进。
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Diffusion-weighted MRI: association between patient characteristics and apparent diffusion coefficients of normal breast fibroglandular tissue at 3 T.弥散加权 MRI:3T 下正常乳腺纤维腺体组织表观扩散系数与患者特征的相关性。
AJR Am J Roentgenol. 2014 May;202(5):W496-502. doi: 10.2214/AJR.13.11159.
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High-resolution, three-dimensional diffusion-weighted breast imaging using DESS.使用DESS的高分辨率三维扩散加权乳腺成像。
Magn Reson Imaging. 2014 May;32(4):330-41. doi: 10.1016/j.mri.2013.12.014. Epub 2014 Jan 3.
10
High-resolution diffusion-weighted imaging for the separation of benign from malignant BI-RADS 4/5 lesions found on breast MRI at 3T.3T乳腺MRI上发现的BI-RADS 4/5类病变中,利用高分辨率扩散加权成像鉴别良恶性
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高空间分辨率多发多通道敏感编码扩散加权成像改善乳腺图像质量和鉴别乳腺病变的可行性研究。

High-Spatial-Resolution Multishot Multiplexed Sensitivity-encoding Diffusion-weighted Imaging for Improved Quality of Breast Images and Differentiation of Breast Lesions: A Feasibility Study.

机构信息

Department of Radiology, Breast Imaging Service, Memorial Sloan Kettering Cancer Center, New York, NY (I.D.N., R.L.G., E.A.M., T.L., K.P., S.B.T.); Department of Radiology, Breast Imaging Division, Istituto Europeo di Oncologia, Milan, Italy (R.L.G.); MR Application and Workflow Team, GE Healthcare, New York, NY (M.M.F.); MR Application and Workflow Team, GE Healthcare, Boston, Mass (A.G.); Department of Biomedical Imaging and Image-guided Therapy, Molecular and Gender Imaging Service, Medical University of Vienna, Vienna, Austria (K.P.); and Department of Medical Physics, Memorial Sloan Kettering Cancer Center, 1275 York Ave, New York, NY 10065 (S.B.T.).

出版信息

Radiol Imaging Cancer. 2020 May 29;2(3):e190076. doi: 10.1148/rycan.2020190076. eCollection 2020 May.

DOI:10.1148/rycan.2020190076
PMID:33778712
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7983772/
Abstract

Multishot multiplexed sensitivity-encoding diffusion-weighted imaging is a feasible and easily implementable routine breast MRI protocol that yields high-quality diffusion-weighted breast images. To compare multiplexed sensitivity-encoding (MUSE) diffusion-weighted imaging (DWI) and single-shot DWI for lesion visibility and differentiation of malignant and benign lesions within the breast. In this prospective institutional review board-approved study, both MUSE DWI and single-shot DWI sequences were first optimized in breast phantoms and then performed in a group of patients. Thirty women (mean age, 51.1 years ± 10.1 [standard deviation]; age range, 27-70 years) with 37 lesions were included in this study and underwent scanning using both techniques. Visual qualitative analysis of diffusion-weighted images was accomplished by two independent readers; images were assessed for lesion visibility, adequate fat suppression, and the presence of artifacts. Quantitative analysis was performed by calculating apparent diffusion coefficient (ADC) values and image quality parameters (signal-to-noise ratio [SNR] for lesions and fibroglandular tissue; contrast-to-noise ratio) by manually drawing regions of interest within the phantoms and breast tumor tissue. Interreader variability was determined using the Cohen κ coefficient, and quantitative differences between MUSE DWI and single-shot DWI were assessed using the Mann-Whitney test; significance was defined at < .05. MUSE DWI yielded significantly improved image quality compared with single-shot DWI in phantoms (SNR, = .001) and participants (lesion SNR, = .009; fibroglandular tissue SNR, = .05; contrast-to-noise ratio, = .008). MUSE DWI ADC values showed a significant difference between malignant and benign lesions ( < .001). No significant differences were found between MUSE DWI and single-shot DWI in the mean, maximum, and minimum ADC values ( = .96, = .28, and = .49, respectively). Visual qualitative analysis resulted in better lesion visibility for MUSE DWI over single-shot DWI (κ = 0.70). MUSE DWI is a promising high-spatial-resolution technique that may enhance breast MRI protocols without the need for contrast material administration in breast screening. Breast, MR-Diffusion Weighted Imaging, Oncology© RSNA, 2020.

摘要

多射多重敏感编码弥散加权成像(Multishot Multiplexed Sensitivity-Encoding Diffusion-Weighted Imaging,MUSE DWI)是一种可行且易于实施的常规乳腺 MRI 方案,可生成高质量的弥散加权乳腺图像。本研究旨在比较多重敏感编码(multiplexed sensitivity-encoding,MUSE)弥散加权成像(diffusion-weighted imaging,DWI)和单次激发 DWI 对乳腺内良恶性病变的显示和鉴别能力。本前瞻性机构审查委员会批准的研究首先在乳腺体模中优化 MUSE DWI 和单次激发 DWI 序列,然后在一组患者中进行。该研究纳入 37 个病灶的 30 名女性(平均年龄 51.1 岁±10.1[标准差];年龄范围 27-70 岁),并使用这两种技术进行扫描。两名独立的读者对弥散加权图像进行视觉定性分析;评估病变的显示、充分的脂肪抑制和伪影的存在。通过手动在体模和乳腺肿瘤组织内画感兴趣区来进行定量分析,计算表观弥散系数(apparent diffusion coefficient,ADC)值和图像质量参数(病灶和纤维腺体组织的信噪比[signal-to-noise ratio,SNR];对比噪声比)。采用 Cohen κ 系数确定观察者间变异性,采用 Mann-Whitney U 检验评估 MUSE DWI 和单次激发 DWI 之间的定量差异;以 P <.05 为差异有统计学意义。体模(SNR,P =.001)和参与者(病灶 SNR,P =.009;纤维腺体组织 SNR,P =.05;对比噪声比,P =.008)中,MUSE DWI 均比单次激发 DWI 获得显著改善的图像质量。MUSE DWI 的 ADC 值在良恶性病变之间存在显著差异(P <.001)。MUSE DWI 的平均、最大和最小 ADC 值与单次激发 DWI 之间无显著差异(P 值分别为 =.96、=.28 和 =.49)。视觉定性分析结果显示,MUSE DWI 较单次激发 DWI 具有更好的病变显示能力(κ = 0.70)。MUSE DWI 是一种很有前途的高空间分辨率技术,在乳腺筛查中无需使用对比剂即可增强乳腺 MRI 方案。

乳房;磁共振弥散加权成像;肿瘤学