Department of Imaging, Imperial College Healthcare NHS Trust, London, UK; Department of Bioengineering, Imperial College London, London, UK.
The Edmond J Safra Program in Parkinson's Disease and the Morton & Gloria Shulman Movement Disorders Clinic, Toronto Western Hospital, Toronto, Ontario, M5T 2S8, Canada.
J Neurosci Methods. 2019 May 1;319:28-39. doi: 10.1016/j.jneumeth.2019.03.002. Epub 2019 Mar 6.
Chemical imaging of the human brain has great potential for diagnostic and monitoring purposes. The heterogeneity of human brain iron distribution, and alterations to this distribution in Alzheimer's disease, indicate iron as a potential endogenous marker. The influence of iron on certain magnetic resonance imaging (MRI) parameters increases with magnetic field, but is under-explored in human brain tissues above 7 T.
Magnetic resonance microscopy at 9.4 T is used to calculate parametric images of chemically-unfixed post-mortem tissue from Alzheimer's cases (n = 3) and healthy controls (n = 2). Iron-rich regions including caudate nucleus, putamen, globus pallidus and substantia nigra are analysed prior to imaging of total iron distribution with synchrotron X-ray fluorescence mapping. Iron fluorescence calibration is achieved with adjacent tissue blocks, analysed by inductively coupled plasma mass spectrometry or graphite furnace atomic absorption spectroscopy.
Correlated MR images and fluorescence maps indicate linear dependence of R, R* and R' on iron at 9.4 T, for both disease and control, as follows: [R(s) = 0.072[Fe] + 20]; [R*(s) = 0.34[Fe] + 37]; [R'(s) = 0.26[Fe] + 16] for Fe in μg/g tissue (wet weight).
This method permits simultaneous non-destructive imaging of most bioavailable elements. Iron is the focus of the present study as it offers strong scope for clinical evaluation; the approach may be used more widely to evaluate the impact of chemical elements on clinical imaging parameters.
The results at 9.4 T are in excellent quantitative agreement with predictions from experiments performed at lower magnetic fields.
人类大脑的化学成像是具有巨大诊断和监测潜力的。人类大脑中铁的分布不均,阿尔茨海默病患者大脑中铁的分布发生改变,这表明铁是一种潜在的内源性标志物。铁对某些磁共振成像(MRI)参数的影响随着磁场的增加而增加,但在 7T 以上的人类脑组织中尚未得到充分探索。
在 9.4T 下使用磁共振显微镜计算来自阿尔茨海默病病例(n=3)和健康对照(n=2)的未经化学固定的死后组织的参数图像。在使用同步加速器 X 射线荧光映射对总铁分布进行成像之前,分析富含铁的区域,包括尾状核、壳核、苍白球和黑质。铁荧光校准是通过电感耦合等离子体质谱或石墨炉原子吸收光谱分析相邻的组织块来实现的。
相关的磁共振图像和荧光图谱表明,在 9.4T 下,疾病和对照组的 R、R和 R'与铁呈线性相关,如下所示:[R(s)=0.072[Fe]+20];[R(s)=0.34[Fe]+37];[R'(s)=0.26[Fe]+16],用于μg/g 组织(湿重)中的铁。
该方法允许对大多数生物可用元素进行同时非破坏性成像。铁是本研究的重点,因为它为临床评估提供了广阔的空间;该方法可更广泛地用于评估化学元素对临床成像参数的影响。
9.4T 的结果与在较低磁场下进行的实验预测具有极好的定量一致性。