定量磁敏感图评估阿尔茨海默病早期。
Quantitative susceptibility mapping to evaluate the early stage of Alzheimer's disease.
机构信息
Department of Biomedical Engineering, Graduate School, Kyung Hee University, 1732, Deogyeong-daero, Giheung-gu, Yongin-si, Gyeonggi-do 446-701, Republic of Korea.
Department of Radiology, Kyung Hee University Hospital at Gangdong, College of Medicine, Kyung Hee University, 892 Dongnam-ro, Gangdong-Gu, Seoul 05278, Republic of Korea.
出版信息
Neuroimage Clin. 2017 Aug 24;16:429-438. doi: 10.1016/j.nicl.2017.08.019. eCollection 2017.
The objective of this study was to evaluate susceptibility changes caused by iron accumulation in cognitive normal (CN) elderly, those with amnestic mild cognitive impairment (aMCI), and those with early state AD, and to compare the findings with gray matter volume (GMV) changes caused by neuronal loss. The participants included 19 elderly CN, 19 aMCI, and 19 AD subjects. The voxel-based quantitative susceptibility map (QSM) and GMV in the brain were calculated and the differences of those insides were compared among the three groups. The differences of the QSM data and GMVs among the three groups were investigated by voxel-based and region of interest (ROI)-based comparisons using a one-way analysis of covariance (ANCOVA) test with the gender and age as covariates. Finally, a receiver-operating-characteristic (ROC) curve analysis was performed. The voxel-based results showed that QSM demonstrated more areas with significant difference between the CN and AD groups compared to GMV. GMVs were decreased, but QSM values were increased in aMCI and AD groups compared with the CN group. QSM better differentiated aMCI from CN than GMV in the precuneus and allocortex regions. In the accumulation regions of iron and amyloid β, QSM can be used to differentiate between CN and aMCI groups, indicating a useful an auxiliary imaging for early diagnosis of AD.
本研究旨在评估铁积累引起的认知正常(CN)老年人、有遗忘型轻度认知障碍(aMCI)和早期 AD 患者的敏感性变化,并将这些发现与神经元丧失引起的灰质体积(GMV)变化进行比较。参与者包括 19 名认知正常的老年人、19 名有遗忘型轻度认知障碍的人和 19 名早期 AD 患者。计算了基于体素的定量磁化率图(QSM)和脑内 GMV,并比较了三组之间的差异。采用协方差分析(ANCOVA)检验,以性别和年龄为协变量,对三组之间的 QSM 数据和 GMVs 差异进行了基于体素和感兴趣区(ROI)的比较。最后,进行了接收者操作特征(ROC)曲线分析。基于体素的结果表明,与 GMV 相比,QSM 在 CN 和 AD 组之间显示出更多有显著差异的区域。与 CN 组相比,aMCI 和 AD 组的 GMV 减少,但 QSM 值增加。与 GMV 相比,QSM 在楔前叶和外皮质区域更好地区分了 aMCI 与 CN。在铁和淀粉样β的积累区域,QSM 可用于区分 CN 和 aMCI 组,表明 QSM 是 AD 早期诊断的一种有用的辅助成像方法。