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扩散补偿的 Tofts 模型提示动脉瘤壁存在对比渗漏。

Diffusion-compensated tofts model suggests contrast leakage through aneurysm wall.

机构信息

Northwestern University, Department of Biomedical Engineering, Evanston, Illinois, USA.

University of Chicago, Department of Radiology, Chicago, Illinois, USA.

出版信息

Magn Reson Med. 2017 Dec;78(6):2388-2398. doi: 10.1002/mrm.26607. Epub 2017 Jan 23.

DOI:10.1002/mrm.26607
PMID:28112862
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5808924/
Abstract

PURPOSE

The purpose of this study was to investigate the diffusional transport of contrast agent and its effects on kinetic modeling of dynamic contrast enhanced (DCE) images.

METHODS

We performed simulations of our diffusion-compensated model and compared these results to human intracranial aneurysms (IAs). We derive an easy-to-use parameterization of diffusional effects that can provide an accurate estimate of diffusion corrected contrast agent leakage rates (k ). Finally, we performed re-ansalysis of an existing data set to determine whether diffusion-corrected kinetic parameters improve the identification of high-risk IAs, thereby providing a new MRI-based imaging metric of IA stability based on wall integrity.

RESULTS

Probability distributions of simulated versus measured data show contrast leakage away from the aneurysm wall. Parameterization of diffusional effects on k showed high correlation with long-chain methods in both surrounding tissue and near the aneurysm wall (r  = 0.91 and r  = 0.90, respectively). Finally, size, k , and ( ktrans-kDCtrans) showed significant univariate relationships with rupture risk (P < 0.05).

CONCLUSIONS

We report the first evidence of diffusion-compensated permeability modeling in intracranial aneurysms and propose a parameterization of diffusional effects on k . Furthermore, a comparison of measured versus simulated data suggests that contrast leakage occurs across the aneurysm wall. Magn Reson Med 78:2388-2398, 2017. © 2017 International Society for Magnetic Resonance in Medicine.

摘要

目的

本研究旨在探讨对比剂的扩散转运及其对动态对比增强(DCE)图像动力学建模的影响。

方法

我们对扩散补偿模型进行了模拟,并将这些结果与人类颅内动脉瘤(IA)进行了比较。我们推导出一种易于使用的扩散效应参数化方法,可以准确估计扩散校正的对比剂泄漏率(k)。最后,我们对现有的数据集进行了重新分析,以确定扩散校正的动力学参数是否可以提高识别高风险 IA 的能力,从而为基于壁完整性的 IA 稳定性提供一种新的 MRI 成像指标。

结果

模拟数据与实测数据的概率分布显示对比剂从动脉瘤壁漏出。扩散对 k 的影响的参数化与周围组织和动脉瘤壁附近的长链方法具有高度相关性(分别为 r = 0.91 和 r = 0.90)。最后,大小、k 和(ktrans-kDCtrans)与破裂风险具有显著的单变量关系(P < 0.05)。

结论

我们首次报道了颅内动脉瘤中扩散补偿通透性建模的证据,并提出了一种 k 上扩散效应的参数化方法。此外,测量数据与模拟数据的比较表明对比剂在动脉瘤壁上发生了泄漏。磁共振医学 78:2388-2398, 2017。© 2017 国际磁共振学会。

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Assessment of blood-brain barrier disruption using dynamic contrast-enhanced MRI. A systematic review.使用动态对比增强磁共振成像评估血脑屏障破坏:一项系统综述
Neuroimage Clin. 2014 Sep 10;6:262-74. doi: 10.1016/j.nicl.2014.09.002. eCollection 2014.
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Dynamic Contrast-Enhanced Magnetic Resonance Imaging (DCE-MRI) in Preclinical Studies of Antivascular Treatments.动态对比增强磁共振成像(DCE-MRI)在抗血管治疗的临床前研究中的应用。
Pharmaceutics. 2012 Nov 7;4(4):563-89. doi: 10.3390/pharmaceutics4040563.
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A diffusion-compensated model for the analysis of DCE-MRI data: theory, simulations and experimental results.一种用于分析 DCE-MRI 数据的扩散补偿模型:理论、模拟和实验结果。
Phys Med Biol. 2013 Mar 21;58(6):1983-98. doi: 10.1088/0031-9155/58/6/1983. Epub 2013 Mar 4.
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