Value of intravoxel incoherent motion diffusion in the clinical diagnosis of Alzheimer's disease
Objective:To investigate the application value of intravoxel incoherent motion (IVIM) in the clinical diagnosis of Alzheimer's disease (AD). Materials and Methods:A total of 60 subjects were included in this study,including 23 in the AD group,22 in the mild cognitive impairment (MCI) group and 15 in the normal control (NC) group. The standard apparent diffusion coefficient (ADCst) and IVIM measures IVIM measures of hippocampal head,hippocampus and hippocampal tail among the three groups were compared for statistical significance,and the correlation between clinically relevant cognitive scores and MRI measures was analyzed. Results:Compared with NC group,ADCst in hippocampus and hippocampus of MCI group and AD group showed an increased trend,but only the right hippocampal head and bilateral hippocampus of AD group and the left hippocampus of MCI group had statistical differences (P<0.05). The increase of IVIM-D value in MCI group and AD group was more obvious. Compared with NC group,the statistical difference was found in the bilateral hippocampus of MCI group (P<0.05),bilateral hippocampal head of AD group (P≤0.001) and bilateral hippocampus of AD group (P<0.001). The IVIM-D values of both hippocampal head and hippocampus in AD group were higher than those in MCI group,with statistical difference (P<0.01). There was no statistically significant difference in the hippocampal tail among the three groups (P>0.05).The ADCst values of the right hippocampus and the IVIM-D values of the bilateral hippocampal head and hippocampus were moderately correlated with the total score of MMSE (0.4<|r|<0.7),while the ADCst values of the bilateral hippocampal head and the left hippocampus were weakly correlated with the total score of MMSE (0.2<|r|<0.4). Further use the receiver operating characteristic,ROC curve analysis showed that ADCst values of bilateral hippocampal head and right hippocampus and IVIM-D values of bilateral hippocampal head and hippocampus had certain diagnostic efficiency in distinguishing AD (AUC=0.664-0.866,P<0.05). The AUC of IVIM-D in the right hippocampus was the largest (P<0.001). By combining the IVIM-D values of bilateral hippocampal head and hippocampus to establish a diagnostic prediction model,the AUC could be further improved to 0.961. The prediction model based on IVIM-D values shows a closer fit to the standard curve in actual observations and demonstrates a higher net yield. Conclusions:IVIM imaging is a promising imaging method to distinguish AD from NC,and the IVIM-ADC of hippocampal head and hippocampus may be effective biomarkers to diagnose MCI and AD.
万方数据
维普
