Department of Psychiatry and Neuropsychology, Maastricht University, School for Mental Health and Neuroscience, Alzheimer Center Limburg, Maastricht, the Netherlands.
Neurobiol Aging. 2013 Aug;34(8):2003-13. doi: 10.1016/j.neurobiolaging.2013.02.002. Epub 2013 Mar 27.
Our aim was to compare the predictive accuracy of 4 different medial temporal lobe measurements for Alzheimer's disease (AD) in subjects with mild cognitive impairment (MCI). Manual hippocampal measurement, automated atlas-based hippocampal measurement, a visual rating scale (MTA-score), and lateral ventricle measurement were compared. Predictive accuracy for AD 2 years after baseline was assessed by receiver operating characteristics analyses with area under the curve as outcome. Annual cognitive decline was assessed by slope analyses up to 5 years after baseline. Correlations with biomarkers in cerebrospinal fluid (CSF) were investigated. Subjects with MCI were selected from the Development of Screening Guidelines and Clinical Criteria for Predementia AD (DESCRIPA) multicenter study (n = 156) and the single-center VU medical center (n = 172). At follow-up, area under the curve was highest for automated atlas-based hippocampal measurement (0.71) and manual hippocampal measurement (0.71), and lower for MTA-score (0.65) and lateral ventricle (0.60). Slope analysis yielded similar results. Hippocampal measurements correlated with CSF total tau and phosphorylated tau, not with beta-amyloid 1-42. MTA-score and lateral ventricle volume correlated with CSF beta-amyloid 1-42. We can conclude that volumetric hippocampal measurements are the best predictors of AD conversion in subjects with MCI.
我们的目的是比较 4 种不同的内侧颞叶测量方法在轻度认知障碍(MCI)患者中对阿尔茨海默病(AD)的预测准确性。比较了手动海马测量、自动图谱基海马测量、视觉评分量表(MTA 评分)和侧脑室测量。通过接收者操作特征分析评估基线后 2 年 AD 的预测准确性,以曲线下面积作为结果。通过斜率分析评估基线后 5 年内的年度认知衰退。还研究了与脑脊液(CSF)生物标志物的相关性。MCI 患者选自多中心研究(DESCRIPA)(n=156)和单中心 VU 医疗中心(n=172)。在随访中,自动图谱基海马测量(0.71)和手动海马测量(0.71)的曲线下面积最高,MTA 评分(0.65)和侧脑室(0.60)较低。斜率分析得出了类似的结果。海马测量与 CSF 总 tau 和磷酸化 tau 相关,与β-淀粉样蛋白 1-42 不相关。MTA 评分和侧脑室体积与 CSFβ-淀粉样蛋白 1-42 相关。我们可以得出结论,容积海马测量是 MCI 患者 AD 转化的最佳预测指标。