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在 4.7T 场强下,利用组织水的局部铁浓度与表观横向弛豫率之间的线性关系,对脑内铁浓度进行定量测量。

Estimation of brain iron concentration in vivo using a linear relationship between regional iron and apparent transverse relaxation rate of the tissue water at 4.7T.

机构信息

National Institute for Environmental Studies, Tsukuba, Ibaraki, Japan.

出版信息

Magn Reson Med. 2009 Nov;62(5):1326-30. doi: 10.1002/mrm.22097.

Abstract

Maps of the apparent transverse relaxation time (T(2) were collected on a transaxial plane across the basal ganglia in 54 healthy subjects at 4.7T using a multiecho adiabatic spin-echo (MASE) imaging sequence. We attempted to quantify the nonhemin iron concentration ([Fe]) in various brain regions in vivo based on the linear relationship between the apparent relaxation rate constant (R(2) = 1/T(2) and regional [Fe], as demonstrated previously in 12 subjects. The calculated [Fe] in five gray matter (GM) regions agreed well with the previously reported regional iron distribution as well as reproduced its age-dependent change. In particular, a decrease of iron in the thalamus region in subjects over 30 years of age was demonstrated while an upward trend was shown in other regions. Furthermore, the average R(2) in each GM region in subjects over 30 years of age showed a deviation from the regression line with [Fe] in an identical manner to that obtained in the previous 12 subjects. This strongly suggests that there is a systematic regional factor affecting R(2), in addition to iron. Interregional difference in the macromolecular mass fraction (f(M)) explained this systematic deviation well. When accounting for f(M) in the analysis, the apparent transverse relaxation rate seems to give a significantly better estimation of regional [Fe].

摘要

在 4.7T 场强下,使用多回波绝热自旋回波(MASE)成像序列,在 54 名健康受试者的横轴位上采集基底节的表观横向弛豫时间(T2)图。我们试图根据先前在 12 名受试者中证明的表观弛豫率常数(R2=1/T2)与局部[Fe]之间的线性关系,定量测量体内各脑区的非血红素铁浓度([Fe])。计算出的五个灰质(GM)区域的[Fe]与先前报道的区域铁分布以及年龄相关的变化相吻合。特别是,在 30 岁以上的受试者中,丘脑区域的铁含量下降,而其他区域则呈上升趋势。此外,在 30 岁以上的受试者中,每个 GM 区域的平均 R2 以与之前 12 名受试者相同的方式偏离了与[Fe]的回归线,这强烈表明除了铁之外,还有一个系统的区域因素影响 R2。大分子质量分数(f(M))的区域间差异很好地解释了这种系统偏差。当在分析中考虑 f(M)时,表观横向弛豫率似乎可以更好地估计局部[Fe]。

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