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膀胱癌多参数 MRI 研究进展。

Update on multiparametric MRI of urinary bladder cancer.

机构信息

Department of Radiology, Juravinski Hospital and Cancer Centre, HHS, McMaster University, Hamilton, ON, Canada.

Department of Radiology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts, USA.

出版信息

J Magn Reson Imaging. 2018 Oct;48(4):882-896. doi: 10.1002/jmri.26294. Epub 2018 Sep 17.

Abstract

UNLABELLED

While many institutions perform MRI during the work-up of urinary bladder cancer, others use MRI rarely if at all, possibly due to a variation in the reported staging accuracy and unfamiliarity with the potential benefits of performing MRI. Through increased application of functional imaging techniques including diffusion-weighted imaging (DWI) and dynamic contrast-enhanced (DCE) imaging, there has been a resurgence of interest regarding evaluation of bladder cancer with MRI. Several recent meta-analyses have shown that MRI is accurate at differentiating between ≤T1 and T2 disease (with pooled sensitivity/specificity of ∼90/80%) and differentiating between T2 and ≥T3 disease. DWI and DCE, in combination with high-resolution T -weighted images, improves detection and possibly local staging accuracy of bladder cancer. High b value echo-planar DWI is particularly valuable for tumor detection. Zoomed field of view and segmented readout DWI techniques improve image quality by reducing susceptibility artifact, while methods to extract calculated high b value images save time and improve the contrast-to-noise ratio. DCE traditionally required imaging of the pelvis with high temporal but lower spatial resolution; however, advances in parallel and keyhole imaging techniques can preserve spatial resolution. The use of compressed sensing reconstruction may improve utilization of DCE of the bladder, especially when imaging the abdomen simultaneously, as in MR urography. Quantitative imaging analysis of bladder cancer using pharmacokinetic modeling of DCE, apparent diffusion coefficient values, and texture analysis may enable radiomic assessment of bladder cancer grade and stage.

LEVEL OF EVIDENCE

3 Technical Efficacy: Stage 2 J. Magn. Reson. Imaging 2018;48:882-896.

摘要

未加标签

虽然许多机构在进行膀胱癌的检查时会进行 MRI,但其他机构很少进行 MRI,如果进行的话,可能是因为报告的分期准确性存在差异,并且不熟悉进行 MRI 的潜在益处。通过增加应用功能成像技术,包括扩散加权成像(DWI)和动态对比增强(DCE)成像,人们对使用 MRI 评估膀胱癌的兴趣重新高涨。最近的几项荟萃分析表明,MRI 在区分≤T1 和 T2 疾病方面具有较高的准确性(总体敏感性/特异性约为 90/80%),并且在区分 T2 和≥T3 疾病方面也具有较高的准确性。DWI 和 DCE 与高分辨率 T1 加权图像相结合,可提高膀胱癌的检测和可能的局部分期准确性。高 b 值的磁共振弥散加权成像对肿瘤检测特别有价值。放大视野和分段读取 DWI 技术通过减少磁化率伪影来提高图像质量,而提取计算出的高 b 值图像的方法则可以节省时间并提高对比度噪声比。DCE 传统上需要对骨盆进行高时间分辨率但低空间分辨率的成像;然而,并行和关键孔成像技术的进步可以保持空间分辨率。压缩感知重建的使用可能会改善膀胱 DCE 的利用率,特别是在同时对腹部进行成像(如磁共振尿路成像)时。使用 DCE 进行药代动力学建模、表观扩散系数值和纹理分析对膀胱癌进行定量成像分析,可能能够对膀胱癌的分级和分期进行放射组学评估。

证据水平

3 技术效果:2 级 J. Magn. Reson. Imaging 2018;48:882-896。

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