Darrell Ting Hung Li1, Edward Sai Kam Hui1, Queenie Chan2, Nailin Yao3, Siew-eng Chua4, Grainne M. McAlonan4,5, Shu Leong Ho6, and Henry Ka Fung Mak1
1Department of Diagnostic Radiology, The University of Hong Kong, Hong Kong, Hong Kong, 2Philips Healthcare, Hong Kong, Hong Kong, 3Department of Psychiatry, Yale University, New Haven, CT, United States, 4Department of Psychiatry, The University of Hong Kong, Hong Kong, Hong Kong, 5Department of Forensic and Neurodevelopmental Science, King’s College London, London, United Kingdom, 6Department of Medicine, The University of Hong Kong, Hong Kong, Hong Kong
Synopsis
Abnormal
nigral iron deposition is considered one of the major biomarkers in Parkinson’s
disease (PD). Extensive studies had been performed to evaluate iron
concentration in substantia nigra using different in vivo imaging methods. Whole structure ROI-based analysis of
basal nuclei is a majority approach in similar studies. In this study, we
investigated the distribution of iron in substantia nigra with both voxel-wise
and split ROI methods. Location of significant higher iron concentration was
identified to be around pars compacta of the substantia nigra in PD brain. The
two methods adopted in this study agreed with each other.Purpose
Abnormal iron level in the brain of Parkinson’s
disease (PD) was postulated to be a cause of degeneration of
dopamine-generating neurons in substantia nigra pars compacta
1-3.
Studying of
in vivo brain iron
distribution is essential for the study of prognosis of the disease. In this
study, we aimed to investigate the distribution of iron, in terms of measuring
magnetic susceptibility with quantitative susceptibility mapping (QSM)
technique, in the brain of PD patients particularly in the region of substantia
nigra. Both voxel-wise and ROI-based studies were performed to obtain a better
understanding to iron deposition in the PD brain.
Methods
55
PD patients (37 males, mean age ±
S.D. = 66 ± 9 years, mean illness duration ± S.D. = 9 ± 6
years) and 26 healthy control (15 males, mean age ± S.D. = 62 ± 7 years) were recruited. All QSM raw images
were acquired using a 3.0T Philips scanner with the following
parameters: 3D-T1FFE sequence, TR/TE = 28/23 ms, flip angle = 15°, NEX = 1, FOV
= 230 x 230 x 180 mm
3, reconstructed resolution = 0.45 x 0.45 x 1 mm
3.
QSM images were generated with the following approaches: Lapalcian-based phase
unwrap, then background field removal with ReSHARP, followed by total variation
regularization-based L1-norm QSM algorithm
4,5. The reconstructed
QSM images were spatial normalized to MNI152 standard space with the FSL-FNIRT
algorithms (fig. 1), and smoothed with a 3D-Gaussian filter before passing to
SPM12 for voxel-wise analysis. For structural voxel-wise study, subcortical
structures were either segmented by the FSL-FIRST (caudate, putamen, pallidum,
thalamus, hippocampus and amygdala) or manually defined on the standard space
(substantia nigra, red nucleus and dentate nucleus, fig. 1). The ROIs were
applied as explicit masking during statistical analysis. To further analyze the
susceptibility distribution in bilateral substantia nigra, slice-by-slice ROI
comparison was performed. The measured susceptibility values were normalized to
the averaged values of the bilateral frontal white matter. Two-sample t-test, adjusted for age and gender of the subjects, was
employed in statistical analysis.
Results
Age
and gender were included as covariates in the study for adjustment in the
statistical tests. Whole-brain voxel-wise study with two-sample t-test showed
that possible higher magnetic susceptibility in the bilateral substantia nigra
in the PD brain (uncorrected p-value < 0.001, fig.2). In order to test for
significance in individual subcortical structures, explicit masking was applied
based on the ROI generated. Structural voxel-wise analysis of substantia nigra
with two-sample t-test showed that some of the voxels in the structure, which
is anatomically corresponded to the substanita nigra pars compacta, indicated a
significantly higher magnetic susceptibility in PD patients (FEW-correct
p-value < 0.05, fig.3). Statistical tests were also performed in other
structures (bilateral thalamus, caudate, putamen, pallidum, hippocampus,
amygdala, red nucleus and dentate nucleus) but yet no significance voxels were
identified. Further analysis of substantia nigra by slice-by-slice ROI
measurement in the standard space was carried out. The average susceptibility
value was higher in the PD group, and some of the slices were tested to be
statistically significant (p < 0.05, fig. 4). These slices also corresponded
to the location of significant voxels in the structural voxel-wise study.
Discussions
Accumulation of mineral iron in substantia
nigra of PD patients was extensively studied and reported with both post-mortem
and
in vivo approaches
1-3.
The result of this study confirmed that substantia nigra, in particular the
pars compacta, is the region with significantly higher iron loading in the PD
brain. Both structural voxel-wise analysis and split ROI studies pointed to the
same findings and the result agreed with each other. Non-invasive
in vivo imaging of mineral iron with the
QSM technique could be a potential tool for the prognostic study of the PD.
This study, apart from reporting the abnormal iron level in substantia nigra
pars compacta, also explored the feasibility of performing voxel-wise analysis.
Traditional method to analyze substantia nigra iron concentration includes
manual drawing of ROI on subject’s magnitude images or even the QSM maps by
researchers. However, such work could be tedious in a large
scale study, and introduction of bias and human error would be inevitable. Voxel-wise
analysis can be completely automated, which reduces the subjective human error
being introduced in the analysis. The method employed in this study, however,
assumed accurate deformation of the subcortical structures with FSL. Check of
registration accuracy is therefore essential prior to statistical analysis.
Conclusion
Both
voxel-wise and ROI-based analyzes confirmed higher iron concentration in
substantia nigra pars compacta of PD patients. QSM could be a potential tool to
study in vivo iron deposition in PD.
Acknowledgements
No acknowledgement found.References
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