Won-Jin Moon1, Yeon Sil Moon2, Jin Woo Choi1, Won Sung Yoon1, Ju Yeon Park1, and Seol-Heui Han2
1Department of Radiology, Konkuk University School of Medicine, Seoul, Korea, Republic of, 2Department of Neurology, Konkuk University School of Medicine, Seoul, Korea, Republic of
Synopsis
We found that the presence of DM is not
associated with vacular risk factors on imaging and brain volumes, but
associated with decreased susceptibility in left thalamus. Our results indicate
that there may be a region-specific alteration of iron accumulation and iron
metabolism in patients with both AD and DM.BACKGROUND & PURPOSE
Although
regarded as independent processes, recent evidences have suggested that there is a link between diabetes mellitus (DM) and Alzheimer’s disease in terms of underlying pathomechanism (1). Quantitative susceptibility
mapping (QSM) can serve as a tool to measure brain iron accumulation in vivo (2, 3). We hypothesized that DM
would modulate the iron accumulation in
cognitively impaired patients. In this study, we aimed to determine the
relationship between the presence of DM and brain iron in cognitive impaired
patients, by using QSM.
MATERIALS & METHODS
This retrospective study enrolled 66
subjects with cognitive impairments (Mean age, 77.1 ± 8.9 years; 56 women and
10 men; 11 patients with mild-cognitive impairments and 55 Alzheimer's disease;
20 patients with DM and 46 without DM). MR imaging was performed at 3T (GE
Signal HDxT). QSM was obtained using gradient echo sequences (SWAN) with
following parameters: TR/TE, 37/3.5ms (multi-echo, 8); FA=20º, slice thickness,
2.5mm, matrix 256x256; FOV, 240mm. QSM images were coregistered to 3D-T1
weighted FSPGR images by using SPM. Each region of interest (ROI) for
anatomical structures (caudate head, putamen, globus pallidus, thalamus,
amygdala and hippocampus) was drawn semi-automatically using MIPAV software
application (http://mipav.cit.nih.gov/). White matter hyperintensity (WMH), lacunes
and microbleeds were graded using FLAIR and susceptibility-weighted imaging as
a measure of vascular risk factor. Gray matter and white matter volumes, which
were normalized for total intracranial volume, were measured by using VBM8
toolbox. The difference of measurements and clinical variables between DM (-)
and DM (+) patients, chi-square test and standard t-test were used. Analysis of
covariance was performed to determine the biologic factors associated with
susceptibility changes.
RESULTS
Hypertension and hyperlipidemia was more
frequently found in DM (+) patients (p = 0.001 & p = 0.022). Vascular risk
factors on imaging and normalized brain volumes were not different according to
the presence of DM. There were no significant difference in measured
susceptibility of all anatomical regions between DM (-) and DM (+) groups
except for left thalamus, particularly in pulvinar nucleus (45.02 ± 19.41
versus 33.53 ± 20.61 [ppb], p=0.043). There was a significant effect of DM on
the left pulvinar susceptibility (iron accumulation) after controlling for age,
hypertension and hyperlipidemia, F (1,61) = 4.148, p = 0.046.
CONCLUSION
We found that the presence of DM is not
associated with vacular risk factors on imaging and brain volumes, but
associated with decreased susceptibility in left thalamus. Our results indicate
that there may be a region-specific alteration of iron accumulation and iron
metabolism in patients with both AD and DM.
Acknowledgements
This study was supported by a grant
of the Korean Health Technology R&D Project, Ministry of Health &
Welfare, Republic of Korea (HI12C0713)References
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