目的评估海马、海马旁回灰质体积是否可以作为阿尔茨海默病(Alzheimer's disease,AD)的潜在生物标志物。方法对35名AD患者(AD组)和27名正常老年人(NC组)的三维结构核磁共振图像划分双侧海马、海马旁回感兴趣区,按照y轴从前到后的顺序将各感兴趣区平均分为4段,得到双侧海马头、双侧海马体1、双侧海马体2、双侧海马尾、双侧海马旁回头、双侧海马旁回体1、双侧海马旁回体2、双侧海马旁回尾16个部分,比较AD组与NC组海马及海马旁回各段灰质体积,应用Fish线性分类方法和逐一至五交叉验证方法探讨双侧海马及海马旁回灰质体积对AD及NC的分类能力。结果 AD组双侧海马及海马旁回各段灰质体积较NC组明显减小。双侧海马及海马旁回各段灰质体积区分AD与NC的正确率为82%。结论海马及海马旁回灰质体积缩小可作为AD的疾病特征。
Objective To evaluate whether grey matter volume in hippocampus and parahippocampus are potential biomarkers for Alzheimer's disease(AD). Methods In order to achieve more exact results, the bilateral hippocampus and parahippocampus were divided into 4 subregions(head, part 1 and part 2 of the main body, tail) based on the structural MRI data obtained from 35 subjects with AD and 27 normal control(NC) subjects. Then Fisher's linear discriminative and leave one-to-five out cross-validation analyses were performed. Results In each subregion of the bilateral hippocampus and parahippocampus,the grey matter volume is significant lower in patients with AD(P〈0.05, FDR corrected)compared with normal control subjects. The classification and cross validation analysis demonstrated that we were able to distinguish the AD patients from the normal control subjects at a higher correct ratio(higher than 82%). Conclusion The present study shows that grey matter in hippocampus and parahippocampus can be treated as features of Alzheimer's disease.