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朝向人体组织质子交换率的 MRI 研究

Toward MRI of the Tissue Proton Exchange Rate in Humans.

机构信息

Department of Radiology, University of Illinois at Chicago, Chicago, IL 60612, USA.

Department of Biomedical Engineering, University of Illinois at Chicago, Chicago, IL 60607, USA.

出版信息

Biosensors (Basel). 2022 Oct 1;12(10):815. doi: 10.3390/bios12100815.

Abstract

Quantification of proton exchange rate (kex) is a challenge in MR studies. Current techniques either have low resolutions or are dependent on the estimation of parameters that are not measurable. The Omega plot method, on the other hand, provides a direct way for determining kex independent of the agent concentration. However, it cannot be used for in vivo studies without some modification due to the contributions from the water signal. In vivo tissue proton exchange rate (kex) MRI, based on the direct saturation (DS) removed Omega plot, quantifies the weighted average of kex of the endogenous tissue metabolites. This technique has been successfully employed for imaging the variation in the kex of ex vivo phantoms, as well as in vivo human brains in healthy subjects, and stroke or multiple sclerosis (MS) patients. In this paper, we present a brief review of the methods used for kex imaging with a focus on the development of in vivo kex MRI technique based on the DS-removed Omega plot. We then review the recent clinical studies utilizing this technique for better characterizing brain lesions. We also outline technical challenges for the presented technique and discuss its prospects for detecting tissue microenvironmental changes under oxidative stress.

摘要

质子交换率(kex)的定量在磁共振研究中是一个挑战。目前的技术要么分辨率低,要么依赖于不可测量的参数估计。另一方面,Omega 图方法为确定 kex 提供了一种不依赖于试剂浓度的直接方法。然而,由于水信号的贡献,它不能在没有一些修改的情况下用于体内研究。基于直接饱和(DS)去除 Omega 图的活体组织质子交换率(kex)MRI 定量内源性组织代谢物的 kex 的加权平均值。该技术已成功用于成像离体模型和健康受试者以及中风或多发性硬化症(MS)患者的体内人脑的 kex 变化。本文简要回顾了用于 kex 成像的方法,重点介绍了基于 DS 去除 Omega 图的活体 kex MRI 技术的发展。然后,我们回顾了利用该技术更好地描述脑损伤的最新临床研究。我们还概述了所提出技术的技术挑战,并讨论了其在检测氧化应激下组织微环境变化方面的前景。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bd39/9599426/24ffcdd6b428/biosensors-12-00815-g001.jpg

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