Suppr超能文献

二维 J 分辨质子磁共振波谱和先验知识拟合(ProFit)在健康志愿者额区和顶区的应用:代谢物鉴别和一般可重复性评估。

Two-dimensional J-resolved proton MR spectroscopy and prior knowledge fitting (ProFit) in the frontal and parietal lobes of healthy volunteers: assessment of metabolite discrimination and general reproducibility.

机构信息

Brain Institute, Department of Radiology, University of Utah School of Medicine, Salt Lake City, Utah 84108, USA.

出版信息

J Magn Reson Imaging. 2013 Mar;37(3):642-51. doi: 10.1002/jmri.23848. Epub 2012 Oct 10.

Abstract

PURPOSE

To investigate human brain metabolite discriminability and general measurement reproducibility of two-dimensional (2D) J-resolved (1)H MRS and Prior Knowledge Fitting (ProFit).

MATERIALS AND METHODS

2D J-resolved (1)H MRS spectra were acquired from the anterior cingulate cortex (ACC) and the parietal-occipital cortex (POC) of 10 healthy subjects at a magnetic field strength of 2.9 Tesla. Amplitude correlation matrices were constructed for each subject and brain region to assess metabolite discriminability. ProFit-estimated metabolite peak areas were normalized to a water reference signal, and intra- and inter-subject reproducibility was evaluated.

RESULTS

Favorable between-metabolite correlation coefficients (<20%) were observed for a range of metabolites. Lower correlation coefficients between a given pair of metabolite estimates were consistently observed for POC metabolites. The group mean correlation coefficient existing between glutamate and glutamine was calculated as -18% and -13% for ACC and POC, respectively. Most ACC and POC metabolites showed intra- and inter-subject CV values of <15% and <20%, respectively.

CONCLUSION

The observed Glu and Gln signal discrimination makes these techniques suitable for investigating a variety of psychiatric disorders. Intra- and inter-subject metabolite level reproducibility was comparable to the existing literature findings. These data serve as a valuable benchmark for assessing future modifications to 2D (1)H MRS data acquisition and ProFit analysis.

摘要

目的

研究二维(2D)J 分辨(1)H MRS 和先验知识拟合(ProFit)的人脑代谢物可分辨性和一般测量再现性。

材料与方法

在 2.9 特斯拉磁场强度下,采集 10 名健康受试者前扣带皮层(ACC)和顶枕叶皮层(POC)的 2D J 分辨(1)H MRS 谱。为每个受试者和脑区构建幅度相关矩阵,以评估代谢物的可分辨性。ProFit 估计的代谢物峰面积与水参考信号归一化,并评估内和组间的重现性。

结果

观察到一系列代谢物之间存在良好的代谢物相关性系数(<20%)。在 POC 代谢物中,始终观察到给定对代谢物估计之间的相关性系数较低。ACC 和 POC 中谷氨酸和谷氨酰胺之间的组平均相关系数分别计算为-18%和-13%。大多数 ACC 和 POC 代谢物的内和组间 CV 值分别<15%和<20%。

结论

观察到的 Glu 和 Gln 信号分辨力使这些技术适合研究各种精神疾病。内和组间代谢物水平的再现性与现有文献发现相当。这些数据为评估未来对 2D(1)H MRS 数据采集和 ProFit 分析的修改提供了有价值的基准。

相似文献

引用本文的文献

2
Glutamate measurements using edited MRS.使用编辑后的磁共振波谱测量谷氨酸。
Magn Reson Med. 2024 Apr;91(4):1314-1322. doi: 10.1002/mrm.29929. Epub 2023 Dec 3.

本文引用的文献

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验