基于磁共振的BALI评分在评估糖尿病轻度认知障碍中的应用研究

发布时间：2018-07-04 15:47

本文选题：磁共振成像 + BALI评分　；参考：《南华大学》2016年硕士论文

【摘要】：目的:多种脑部结构变化与老龄化脑及2型糖尿病脑相关。本研究旨在探讨基于磁共振检查的脑萎缩及病变指数(brain atrophy and lesion index,BALI)评分对糖尿病脑轻度认知障碍的预测性能。材料与方法:本研究按顺序选取2014年1月至2016年1月就诊于本院且资料完整的患者88例。收集患者的一般临床资料,并进行Mo CA(Montreal Cognitive Assessment,Mo CA)及MMSE(Mini-Mental State Examination,MMSE)认知评分,根据MMSE评分分为轻度认知障碍组及认知正常组。所有受试者均进行高分辨3.0T磁共振成像检查。根据BALI进行影像学评分。不同认知组间的BALI总分及其子分类评分均数的组间比较采用单因素方差分析。采用非参数检验方法检测不同认知组及有无糖尿病组的人口统计学特性,采用Pearson相关系数评估BALI及子分类评分与年龄及MMSE评分之间的关系,采用Spearman相关系数分析BALI评分与认知水平的相关性,观察不同图像类型BALI总分与年龄之间的相关性。绘制ROC图及计算灵敏度、特异度评估BALI预测性能。结果:(1)本数据的所有受试者的T1WI BALI及T2WI BALI评分呈明显线性相关(r=0.93,P0.001)。(2)在不同认知组间,轻度认知障碍组BALI总分及所有子分类评分均数均高于认知正常组,且除了BG、IT以外其它子分类之间具有统计学差异,不同认知组的性别及受教育程度没有统计学差异,但是Mo CA评分及年龄具有相关性(P0.05),糖尿病组及非糖尿病组的认知评分及BALI评分之间具有统计学差异。不同类型图像的BALI总分与年龄具有相关性(r=0.516,P0.001)。T1WI及T2WI BALI评分的特异度分别为:81.5%、66.2%,灵敏度分别为56.5%、69.6%。受试者工作特征曲线下面积分别为0.71(T1WI)、0.72(T2WI)。结论:多种脑部结构变化对认知功能有叠加影响且能被BALI总分综合评估。BALI评分有预测糖尿病脑轻度认知功能障碍的潜能。
[Abstract]:Objective: various brain structural changes are associated with aging brain and type 2 diabetes. The purpose of this study was to explore the predictive performance of brain atrophy and lesion index (BALI) scores on mild cognitive impairment in diabetic brain based on magnetic resonance (MRI). Materials and methods: This study was selected from January 2014 to January 2016. The general clinical data of the patients were collected in 88 cases. The general clinical data of the patients were collected, and the cognitive scores of Mo CA (Montreal Cognitive Assessment, Mo CA) and MMSE (Mini-Mental State Examination, MMSE) were divided into the mild cognitive impairment group and the cognitive normal group. All the subjects performed high resolution magnetic resonance imaging. A single factor variance analysis was used between groups of different cognitive groups and their subclassification scores. The demographic characteristics of different cognitive groups and non diabetic groups were detected by non parametric test, and BALI, sub classification score and age were evaluated by Pearson phase number, according to the BALI imaging score. The correlation between the MMSE score and the Spearman correlation coefficient was used to analyze the correlation between the BALI score and the cognitive level, and to observe the correlation between the total score and the age of the different image types. The ROC map and the computational sensitivity were drawn and the BALI prediction performance was evaluated by the specificity. The results were as follows: (1) the T1WI BALI and T2WI BALI scores of all the subjects in this data were clear. Significant linear correlation (r=0.93, P0.001). (2) in different cognitive groups, the total scores of BALI and all subclassification scores in the mild cognitive impairment group were higher than those in the cognitive normal group, and there were statistical differences among the other subcategories except BG and IT. There was no statistical difference in the gender and education degree of the different cognitive groups, but the Mo CA score and the age had an age. There was a statistical difference between the cognitive score and the BALI score in the diabetes group and the non diabetic group. The BALI score of the BALI and the age of the different types of images (r=0.516, P0.001).T1WI and the T2WI BALI score were 81.5%, 66.2%, and 56.5%, respectively, under the working characteristic curve of the 69.6%. subjects. The scores were 0.71 (T1WI) and 0.72 (T2WI). Conclusion: a variety of brain structural changes have superimposed effects on cognitive function and can be evaluated by a comprehensive assessment of the BALI score by the.BALI score, which can predict the potential of mild cognitive impairment in the brain.
【学位授予单位】：南华大学
【学位级别】：硕士
【学位授予年份】：2016
【分类号】：R587.2;R749;R445.2

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