Abstract:Objective To investigate the features of brain iron deposition in elderly patients with mild cognitive impairment (MCI) or with Alzheimer’s disease (AD) by using susceptibility-weighted imaging (SWI), analyze their correlation with the scores of Mini-Mental State Examination (MMSE), and assess the value of iron concentration increase in the conversion of MCI to AD. Methods A total of 18 normal control subjects, 22 MCI patients and 20 AD patients admitted to the Sixth People’s Hospital from November 2009 to January 2013 were included in this study. All the subjects underwent conventional magnetic resonance imaging (MRI) and SWI using axial/oblique coronal sequences. Phase images were used to calculate the radian angle value and bilateral iron deposition in the hippocampus and caudate nucleus. Analysis of variance (ANOVA) was employed to make comparison among the groups, the correlation of the radian angle valne with MMSE score was tested using Pearson’s correlation. After 1 year’s follow-up, MCI patients were surveyed by MMSE again, and were divided into stable MCI group (AD converters) and progressive MCI group (non-AD converters) according to the results of MMSE. The alteration of radian angle value before and after the follow-up was compared between the 2 groups. Results There were significant differences in the radian angle values in the left hippocampus and left head of the caudate nucleus between the MCI and normal control (NC) groups (P<0.05), and in the bilateral hippocampus and left head of caudate nucleus between the AD and NC groups (P<0.05). Radian angle values in bilateral hippocampus were positively correlated with MMSE score. During the follow-up, 5 of these 22 MCI patients converted to AD (22.7%), and had significantly higher radian angle values in the left hippocampus than non-AD converters (P<0.05). Conclusion Regionally excessive iron deposition in the brain is associated with cognitive deficiency. For MCI patients, abnormal enhancement of iron concentration in the left hippocampus may provide predictive information about the conversion from MCI to AD.