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使用压缩感知的乳腺超快动态对比增强 MRI:基于乳腺动静脉分别可视化的乳腺癌诊断。

Ultrafast dynamic contrast-enhanced mri of the breast using compressed sensing: breast cancer diagnosis based on separate visualization of breast arteries and veins.

机构信息

Department of Diagnostic Imaging and Nuclear Medicine, Kyoto University Graduate School of Medicine, Kyoto, Japan.

Department of Clinical Radiology Service, Kyoto University Hospital, Kyoto, Japan.

出版信息

J Magn Reson Imaging. 2018 Jan;47(1):97-104. doi: 10.1002/jmri.25747. Epub 2017 May 28.

Abstract

PURPOSE

To evaluate the feasibility of ultrafast dynamic contrast-enhanced (UF-DCE) magnetic resonance imaging (MRI) with compressed sensing (CS) for the separate identification of breast arteries/veins and perform temporal evaluations of breast arteries and veins with a focus on the association with ipsilateral cancers.

MATERIALS AND METHODS

Our Institutional Review Board approved this study with retrospective design. Twenty-five female patients who underwent UF-DCE MRI at 3T were included. UF-DCE MRI consisting of 20 continuous frames was acquired using a prototype 3D gradient-echo volumetric interpolated breath-hold sequence including a CS reconstruction: temporal resolution, 3.65 sec/frame; spatial resolution, 0.9 × 1.3 × 2.5 mm. Two readers analyzed 19 maximum intensity projection images reconstructed from subtracted images, separately identified breast arteries/veins and the earliest frame in which they were respectively visualized, and calculated the time interval between arterial and venous visualization (A-V interval) for each breast.

RESULTS

In total, 49 breasts including 31 lesions (breast cancer, 16; benign lesion, 15) were identified. In 39 of the 49 breasts (breasts with cancers, 16; breasts with benign lesions, 10; breasts with no lesions, 13), both breast arteries and veins were separately identified. The A-V intervals for breasts with cancers were significantly shorter than those for breasts with benign lesions (P = 0.043) and no lesions (P = 0.007).

CONCLUSION

UF-DCE MRI using CS enables the separate identification of breast arteries/veins. Temporal evaluations calculating the time interval between arterial and venous visualization might be helpful in the differentiation of ipsilateral breast cancers from benign lesions.

LEVEL OF EVIDENCE

3 Technical Efficacy: Stage 1 J. Magn. Reson. Imaging 2018;47:97-104.

摘要

目的

评估使用压缩感知(CS)的超快速动态对比增强(UF-DCE)磁共振成像(MRI)分别识别乳腺动脉/静脉的可行性,并对乳腺动脉和静脉进行时间评估,重点关注与同侧癌症的关联。

材料与方法

我们的机构审查委员会批准了这项回顾性设计研究。共纳入 25 名在 3T 下接受 UF-DCE MRI 的女性患者。UF-DCE MRI 采用原型 3D 梯度回波容积内插屏气序列采集,包括 CS 重建:时间分辨率为 3.65 秒/帧;空间分辨率为 0.9×1.3×2.5mm。两名读者分别分析了从减影图像重建的 19 张最大强度投影图像,分别识别乳腺动脉/静脉及其最早可见的帧,并计算了动脉和静脉可视化之间的时间间隔(A-V 间隔)。

结果

共识别了 49 个乳房,包括 31 个病灶(乳腺癌 16 个;良性病变 15 个)。在 49 个乳房中的 39 个(乳腺癌乳房 16 个,良性病变乳房 10 个,无病变乳房 13 个)中,均能分别识别乳腺动脉和静脉。癌症乳房的 A-V 间隔明显短于良性病变乳房(P=0.043)和无病变乳房(P=0.007)。

结论

使用 CS 的 UF-DCE MRI 能够分别识别乳腺动脉/静脉。计算动脉和静脉可视化之间时间间隔的时间评估可能有助于区分同侧乳腺癌与良性病变。

证据水平

3 级 技术功效:阶段 1 J. Magn. Reson. Imaging 2018;47:97-104.

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