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首页> 外文期刊>NeuroImage: Clinical >Association of short-term cognitive decline and MCI-to-AD dementia conversion with CSF, MRI, amyloid- and 18F-FDG-PET imaging
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Association of short-term cognitive decline and MCI-to-AD dementia conversion with CSF, MRI, amyloid- and 18F-FDG-PET imaging

机译:CSF,MRI,淀粉样蛋白和 18 F-FDG-PET成像对短期认知功能下降和MCI-AD痴呆症转化的影响

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Disease-modifying treatment trials are increasingly advanced to the prodromal or preclinical phase of Alzheimer's disease (AD), and inclusion criteria are based on biomarkers rather than clinical symptoms. Therefore, it is of great interest to determine which biomarkers should be combined to accurately predict conversion from mild cognitive impairment (MCI) to AD dementia. However, up to date, only few studies performed a complete A/T/N subject characterization using each of the CSF and imaging markers, or they only investigated long-term (≥ 2?years) prognosis. This study aimed to investigate the association between cerebrospinal fluid (CSF), magnetic resonance imaging (MRI), amyloid- and18F-FDG positron emission tomography (PET) measures at baseline, in relation to cognitive changes and conversion to AD dementia over a short-term (12-month) period. We included 13 healthy controls, 49 MCI and 16 AD dementia patients with a clinical-based diagnosis and a complete A/T/N characterization at baseline. Global cortical amyloid-β (Aβ) burden was quantified using the18F-AV45 standardized uptake value ratio (SUVR) with two different reference regions (cerebellar grey and subcortical white matter), whereas metabolism was assessed based on18F-FDG SUVR. CSF measures included Aβ1–42, Aβ1–40, T-tau, P-tau181, and their ratios, and MRI markers included hippocampal volumes (HV), white matter hyperintensities, and cortical grey matter volumes. Cognitive functioning was measured by MMSE and RBANS index scores. All statistical analyses were corrected for age, sex, education, andAPOEε4 genotype. As a result, faster cognitive decline was most strongly associated with hypometabolism (posterior cingulate) and smaller hippocampal volume (e.g., Δstory recall: β?=?+0.43 [p?
机译:改变疾病的治疗试验越来越多地进入阿尔茨海默氏病(AD)的前驱或临床前阶段,纳入标准基于生物标志物而不是临床症状。因此,确定应该结合使用哪些生物标记物以准确预测从轻度认知障碍(MCI)到AD痴呆的转化率具有重大意义。然而,迄今为止,只有极少数的研究使用CSF和影像学标记物对A / T / N受试者进行了完整的表征,或者仅研究了长期(≥2年)预后。这项研究旨在探讨基线时脑脊液(CSF),磁共振成像(MRI),淀粉样蛋白和18F-FDG正电子发射断层扫描(PET)措施之间的关联,这些关联与认知变化和短时间内转化为AD痴呆有关学期(12个月)。我们纳入了13名健康对照,49名MCI和16名AD痴呆患者,这些患者具有基于临床的诊断并在基线时具有完整的A / T / N特征。使用18F-AV45标准化摄取值比率(SUVR)和两个不同的参考区域(小脑灰质和皮层下白质)对总皮质淀粉样β-(Aβ)负荷进行定量,而代谢则基于18F-FDG SUVR进行评估。 CSF指标包括Aβ1-42,Aβ1-440,T-tau,P-tau181及其比率,MRI标记包括海马体积(HV),白质高信号和皮层灰质体积。认知功能通过MMSE和RBANS指数评分来衡量。所有统计分析均已校正年龄,性别,受教育程度和APOEε4基因型。结果,较快的认知能力下降与低代谢(后扣带回)和较小的海马体积(例如Δ故事回忆:β≥0.43[p <0.001]和0.37 [p = 0.005])密切相关。 ],分别是基线)。另外,只有将SUVR作为皮层下白质的参考,较快的认知能力下降才与较高的基线Aβ负担显着相关(例如,Δ故事回忆:β≥0.28[p≥0.020])。 MCI患者每年以31%的速度转变为AD痴呆,这可以通过结合神经心理学测试(视觉空间构建技能)和基于MRI的HV或18F-FDG-PET来最好地预测。结合所有这三种标记可产生96%的特异性和92%的敏感性。淀粉样蛋白PET和CSF生物标志物都不能将短期转化者与非转化者区分开。

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