Department of Neurology, Hoglund Biomedical Imaging Center, University of Kansas Medical Center, Kansas City, Kansas.
Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts.
NMR Biomed. 2021 May;34(5):e4411. doi: 10.1002/nbm.4411. Epub 2020 Sep 18.
Spectral editing in in vivo H-MRS provides an effective means to measure low-concentration metabolite signals that cannot be reliably measured by conventional MRS techniques due to signal overlap, for example, γ-aminobutyric acid, glutathione and D-2-hydroxyglutarate. Spectral editing strategies utilize known J-coupling relationships within the metabolite of interest to discriminate their resonances from overlying signals. This consensus recommendation paper provides a brief overview of commonly used homonuclear editing techniques and considerations for data acquisition, processing and quantification. Also, we have listed the experts' recommendations for minimum requirements to achieve adequate spectral editing and reliable quantification. These include selecting the right editing sequence, dealing with frequency drift, handling unwanted coedited resonances, spectral fitting of edited spectra, setting up multicenter clinical trials and recommending sequence parameters to be reported in publications.
在体内 H-MRS 中进行光谱编辑提供了一种有效的手段,可以测量由于信号重叠而无法通过传统 MRS 技术可靠测量的低浓度代谢物信号,例如 γ-氨基丁酸、谷胱甘肽和 D-2-羟基戊二酸。光谱编辑策略利用感兴趣代谢物中的已知 J 耦合关系来区分它们的共振与重叠信号。本共识推荐文件简要概述了常用的同核编辑技术以及数据采集、处理和定量的注意事项。此外,我们还列出了专家对实现充分的光谱编辑和可靠定量所需的最低要求的建议。这些要求包括选择正确的编辑序列、处理频率漂移、处理不需要的共编辑共振、编辑光谱的光谱拟合、建立多中心临床试验以及建议在出版物中报告序列参数。