Da Xiao, Toledo Jon B, Zee Jarcy, Wolk David A, Xie Sharon X, Ou Yangming, Shacklett Amanda, Parmpi Paraskevi, Shaw Leslie, Trojanowski John Q, Davatzikos Christos
Section of Biomedical Image Analysis, Department of Radiology, and Center for Biomedical Image Computing and Analytics, University of Pennsylvania, Philadelphia, PA, USA.
Department of Pathology & Laboratory Medicine, Institute on Aging, Center for Neurodegenerative Disease Research, University of Pennsylvania School of Medicine, Philadelphia, PA, USA.
Neuroimage Clin. 2013 Nov 28;4:164-73. doi: 10.1016/j.nicl.2013.11.010. eCollection 2014.
This study evaluates the individual, as well as relative and joint value of indices obtained from magnetic resonance imaging (MRI) patterns of brain atrophy (quantified by the SPARE-AD index), cerebrospinal fluid (CSF) biomarkers, APOE genotype, and cognitive performance (ADAS-Cog) in progression from mild cognitive impairment (MCI) to Alzheimer's disease (AD) within a variable follow-up period up to 6 years, using data from the Alzheimer's Disease Neuroimaging Initiative-1 (ADNI-1). SPARE-AD was first established as a highly sensitive and specific MRI-marker of AD vs. cognitively normal (CN) subjects (AUC = 0.98). Baseline predictive values of all aforementioned indices were then compared using survival analysis on 381 MCI subjects. SPARE-AD and ADAS-Cog were found to have similar predictive value, and their combination was significantly better than their individual performance. APOE genotype did not significantly improve prediction, although the combination of SPARE-AD, ADAS-Cog and APOE ε4 provided the highest hazard ratio estimates of 17.8 (last vs. first quartile). In a subset of 192 MCI patients who also had CSF biomarkers, the addition of Aβ1-42, t-tau, and p-tau181p to the previous model did not improve predictive value significantly over SPARE-AD and ADAS-Cog combined. Importantly, in amyloid-negative patients with MCI, SPARE-AD had high predictive power of clinical progression. Our findings suggest that SPARE-AD and ADAS-Cog in combination offer the highest predictive power of conversion from MCI to AD, which is improved, albeit not significantly, by APOE genotype. The finding that SPARE-AD in amyloid-negative MCI patients was predictive of clinical progression is not expected under the amyloid hypothesis and merits further investigation.
本研究利用阿尔茨海默病神经影像倡议-1(ADNI-1)的数据,评估了在长达6年的可变随访期内,从轻度认知障碍(MCI)进展为阿尔茨海默病(AD)过程中,通过脑萎缩磁共振成像(MRI)模式(由SPARE-AD指数量化)、脑脊液(CSF)生物标志物、APOE基因型和认知表现(ADAS-Cog)所获得指标的个体价值、相对价值和联合价值。SPARE-AD最初被确立为区分AD患者与认知正常(CN)受试者的高度敏感且特异的MRI标志物(曲线下面积[AUC]=0.98)。然后,对381名MCI受试者进行生存分析,比较了上述所有指标的基线预测价值。结果发现,SPARE-AD和ADAS-Cog具有相似的预测价值,二者联合的预测效果显著优于各自单独的表现。APOE基因型虽未显著改善预测效果,但SPARE-AD、ADAS-Cog和APOE ε4联合时提供了最高的风险比估计值,为17.8(四分位间距的最后一组与第一组相比)。在192名同时拥有CSF生物标志物的MCI患者亚组中,在先前模型中加入Aβ1-42、总tau蛋白(t-tau)和磷酸化tau蛋白181p(p-tau181p)后,与SPARE-AD和ADAS-Cog联合相比,并未显著提高预测价值。重要的是,在淀粉样蛋白阴性的MCI患者中,SPARE-AD对临床进展具有较高的预测能力。我们的研究结果表明,SPARE-AD和ADAS-Cog联合可提供从MCI转化为AD的最高预测能力,APOE基因型可使其有所改善,尽管改善并不显著。淀粉样蛋白阴性的MCI患者中SPARE-AD可预测临床进展这一发现,在淀粉样蛋白假说下并不预期,值得进一步研究。