Application analysis of diffusion kurtosis imaging in microstructural changes of prefrontal cortex in patients with mild cognitive impairment
10.3969/j.issn.1672-5921.2019.03.003
- Author:
Dongtao LIU
1
Author Information
1. Department of Neurology, Chaoyang Hospital, Capital Medical University
- Publication Type:Journal Article
- Keywords:
Cognition disorders;
Diffusion kurtosis imaging;
Magnetic resonance imaging, diffusion;
Prefrontal cortex
- From:
Chinese Journal of Cerebrovascular Diseases
2019;16(3):123-128
- CountryChina
- Language:Chinese
-
Abstract:
Objective To investigate the application value of diffusion kurtosis imaging (DKI) in the changes of prefrontal cortex microstructures in patients with mild cognitive impairment (MCI). Methods A total of 79 consecutive patients with cerebral small vascular disease admitted to the Department of Neurology, Chaoyang Hospital, Capital Medical University between January 2018 and December 2018 were enrolled retrospectively. They were confirmed by head MRI and MR angiography and Montreal cognitive assessment scale (MoCA) was used to assess the overall cognitive function. According to the presence or absence of MCI,79 patients were divided into MCI group (n = 46) and non-MCI group (rc = 33). The general clinical data of the two groups of patients were recorded and analyzed; neuropsychological assessment results, including MoCA scale, Hamilton depression rating scale (HAMD) , Hamilton anxiety rating scale (HAMA); conventional MR morphology, and DKI scan results. The prefrontal cortex of the patients was selected as the region of interest, i. e. , bilateral dorsolateral superior gyrus, medial superior frontal gyrus,anterior cingulate,and paracingulate gyrus; the DKI related parameters of the region of interest were measured, including mean diffusivity (MD) , fractional anisotropy (FA), axial kurtosis (AK),mean kurtosis (MK) ,and radial kurtosis (RK). The Bonferroni method was used to adjust P values for multiple comparisons of multiple regions of interest The P value was adjusted with P < 0. 008 (0. 05/6 = 0. 0083) as the difference was statistically significant. Results (1) The MoCA scale score in the MCI group was lower than that in the non-MQ group. There was significant difference between the two groups (20 [19,22] vs. 27 [25,28] ,Z = -6. 836,P<0. 01). There were no significant differences in age,gender,years of education,HAMD score,and HAMA score between the two groups (all P>0.05). (2) In the right anterior cingulate and paracingulate gyrus,the FA,AK and MK values of the MCI group were lower than those of the non-MCI group. The differences were statistically significant between groups (0. 16 ±0.03 us. 0. 18 ±0.03, 0. 64 ± 0.08 vs. 0.70 ± 0.06, and 0. 67 ± 0. 09 vs. 0. 73 ± 0. 06, all P < 0. 008). There were no significant differences in MD and RK values between the two groups (all P >0. 008). In the left anterior cingulate and paracingulate gyrus,there were no significant differences in MD,FA, AK,MK and RK between the two groups (all P>0.008). (3) There were no significant differences in the MD,FA,AK,MK and RK values between the bilateral dorsolateral superior frontal gyrus and bilateral medial superior frontal gyrus (all P > 0. 008). Conclusions DKI technique can be used to observe the microstructural change of prefrontal cortex matter in patients with MCI. The parameters related to DKI have certain value in clinical imaging evaluation of patients with MCI.
