Sheelakumari R1, Bejoy Thomas1, Ramshekhar Menon2, Ramesh Venkatesan3, and Chandrasekharan Kesavadas1
1Department of Imaging Sciences and Interventional Radiology, Sree Chitra Tirunal Institute for Medical Sciences and Technology, Trivandrum, India, 2Department of Neurology, Sree Chitra Tirunal Institute for Medical Sciences and Technology, Trivandrum, India, 3GE Healthcare, Banglore, India
Synopsis
Oxygen extraction fraction (OEF) in the brain can
be obtained by Quantitative Susceptibility Mapping (QSM). QSM can also estimate
iron which is implicated in the pathogenesis of Alzheimer’s disease and its pre-symptomatic
antecedents. The differences of OEF and iron values among the controls, Mild
Cognitive Impairment and AD were investigated by ROI based comparisons using a
one-way analysis of variance. These values in the posterior brain regions were found
to have a trend towards increment in patient groups compared with controls, in
this pilot study. Future studies are required to validate the usefulness of
this technique as potential biomarker.
Introduction
The association of oxygen extraction fracion
(OEF) (1) and brain iron deposition in Alzheimer's disease (AD) and Mild
Cognitive Impairment (2) has not been investigated previously. The aim of the
present study was to examine the oxygen extraction fraction and the susceptibility
changes caused by iron accumulation in cognitive normal elderly control (EC), those
with MCI, and those with AD. Moreover, we aimed to investigate the correlation
between OEF and brain iron deposition in patients.
Methods
This prospective study was approved by Institutional Ethics Committee of
Sree Chitra Tirunal Institute for Medical Sciences and Technology (SCTIMST) and
informed consent was obtained from all participants. Patients diagnosed to be
having MCI (10), and AD (10) at the decade old well-established Dementia Clinic
at SCTIMST were included in the study. Ten cognitively normal elderly control
volunteers were recruited from the local population through advertisements. All
participants underwent detailed clinical, neurological and neuropsychological
evaluation and had no contraindications to MRI scanning. MRI scans were
acquired in each subject using a 3T whole-body scanner (GE, 750W Discovery)
with a 32 channel phased array head coil. MRI gradient echo images for QSM
reconstruction and calculation of OEF were acquired with the same spoiled 3D
multi-echo gradient-echo sequence with five equally spaced echoes (TR/TE1/FA =
62.1 ms/20 ms/15, matrix = 512 x 512, slice thickness = 2 mm, slices = 70,
acquisition time = 6:29 minutes). A
T1-weighted BRAVO sequence (TR/TE/FA = 7.9 ms/3 ms/12°, acquisition time = 4:26
minutes) with 1 mm isotropic spatial resolution was used for evaluating grey
matter volume changes. QSM images were reconstructed retrospectively from the
SWAN data by implementing the Morphology Enabled Dipole Inversion (MEDI)
method.
Initially,
the brightness and contrast of the images were adjusted and zoomed by factor of
two to avoid partial volume effects. The region interest measures of iron changes in QSM data were extracted
bilaterally from caudate, putamen, globus pallidus, thalamus, hippocampus, precuneus,
and posterior cingulate (Figure 1). The
susceptibility measurements of four candidate veins namely posterior superior sagittal sinus, posterior cortical
vein, internal cerebral veins and straight sinus were performed using QSM map (Figure 2). Also, a mean and standard deviation of susceptibility
from a reference region, was also measured from the Cerebrospinal fluid of the
third ventricle. Oxygen extraction fraction (OEF) was obtained using the
relation
where Δχdo is the
magnetic susceptibility difference between fully deoxygenated (we used 4.π.0.18
ppm) and fully oxygenated blood and Hct (we used 0.45) is the blood
haematocrit. Then the oxygen extraction (OEF) can be obtained by the relation OEF= 1-
Yv under usual conditions at which Ya ≈100%. Statistical analysis of entire data was performed using SPSS software
with significance set at P<0.05. Results and Discussion
Both MCI and AD had elevated susceptibility values
within the anterior cingulate, precuneus, posterior cingulate and hippocampus
(Table 2). The OEF was decreased in the internal cerebral vein, posterior
cortical vein and vein of Galen in AD compared to controls. While the OEF in
the posterior sagittal sinus, straight sinus and transverse sagittal sinus was
increased in both patient groups in comparison to controls (Table 1). However,
the OEF values failed to reveal any correlation with susceptibility values. The
increased OEF findings are consistent with the capillary dysfunction hypothesis
of AD; increased capillary dysfunction leads to increased oxygen extraction in
order to compensate the metabolic requirements of the brain tissues. Although none of these parameters
were statistically significant, they showed a trend towards differentiation of
MCI and AD from controls in this pilot study. Future studies are required to validate the usefulness
of this technique as potential biomarker. Conclusion
This pilot study shows that QSM is a feasible and
useful technique for measuring OEF and iron deposition in dementia with a potential
of being a biomarker
Acknowledgements
This study was
supported by funds from Science and Engineering Research Board (SERB) to S.R in
the form of National postdoctoral fellowship (N-PDF). References
1. Thomas
BP, Sheng M, Tseng BY, et al. Reduced global brain metabolism but maintained
vascular function in amnestic mild cognitive impairment. J Cereb Blood Flow
Metab. 2017;37:1508–1516.
2.
Cabronero JA, Williams GB, Blanco AC, et al. In Vivo Quantitative Susceptibility
Mapping (QSM) in Alzheimer's Disease. PLoS One. 2013; 8(11): e81093.
3. Mao
D, Li Y, Liu P, et al. Three-Dimensional Mapping of Brain Venous Oxygenation
Using R*2 Oximetry. Magnetic Resonance in Medicine. 2017; DOII: 10.1002/mrm.26763.