3T sodium-MRI 作为非痴呆老年人神经认知的预测指标:一项横断面研究。

IF 4.1 Q1 CLINICAL NEUROLOGY Brain communications Pub Date : 2024-09-11 eCollection Date: 2024-01-01 DOI:10.1093/braincomms/fcae307
Elaine Lui, Vijay K Venkatraman, Sue Finch, Michelle Chua, Tie-Qiang Li, Bradley P Sutton, Christopher E Steward, Bradford Moffat, Elizabeth V Cyarto, Kathryn A Ellis, Christopher C Rowe, Colin L Masters, Nicola T Lautenschlager, Patricia M Desmond
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引用次数: 0

摘要

痴呆症是一个日益严重的全球性问题。除容积测量外,新型磁共振成像(MRI)指标可能会带来新的见解,并有助于在阿尔茨海默病病程早期对干预措施进行临床试验评估,以补充现有的成像和临床指标。目的是确定:(i) 归一化区域钠-MRI 值(Na-SI)是否比容积测量法更能预测神经认知状态 (ii) 脑淀粉样蛋白 PET 状态是否能改善建模。前瞻性地招募了已知阿尔茨海默病评估量表(ADAS-Cog11)、迷你精神状态检查(MMSE)和建立阿尔茨海默病登记联盟(CERAD)神经认知测试评分、载脂蛋白E(APOE)e4 +/- 脑淀粉样蛋白PET状态的非痴呆老年人(60岁以上)志愿者进行3T钠-MRI脑扫描。在对三维-T1加权质子图像进行分割和联合配准后,获得了左右海马、内含体和前楔体的体积和Na-SI(使用比例强度缩放归一化方法,并进行场不均匀性和部分体积校正)。结果进行了描述性统计、相关性和最佳子集回归分析。在我们的 76 位非痴呆参与者(平均(标准差)年龄 75(5)岁;女性 47(62%);认知功能未受损 54/76(71%),轻度认知功能受损 22/76(29%))中,左侧海马 Na-SI(而非容积)在预测 MMSE 的最佳模型中占优势(Odds Ratio (OR) = 0.19(置信区间 (CI) = 0.07,0.53),P值 = 0.001)和ADAS-Cog11(Beta(B) = 1.2(CI = 0.28,2.1),P值 = 0.01)分数。在内含体分析中,预测 ADAS-Cog11 的最佳模型优先选择了右内含体 Na-SI,而不是体积(B = 0.94(CI = 0.11,1.8),P 值 = 0.03)。虽然右内叶 Na-SI 和容积均被选入 MMSE 模型(Na-SI OR = 0.23(CI = 0.09,0.6),P 值 = 0.003;容积 OR = 2.6(CI = 1.0,6.6),P 值 = 0.04),但独立来看,Na-SI 解释的方差更大(Na-SI R 2 = 10.3;容积 R 2 = 7.5)。在最佳的 CERAD 模型中,没有一个成像变量被选中。加入脑淀粉样蛋白状态可提高模型的拟合度(所有模型的 Akaike 信息标准均提高了 2.0,P 值 < 0.001-0.045)。在我们的非痴呆老年人队列中,区域 Na-SI 比容积更能预测 MMSE 和 ADAS-Cog11 评分,海马比内侧感兴趣区域更强。淀粉样蛋白阳性状态进一步改善了模型的拟合度。
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3T sodium-MRI as predictor of neurocognition in nondemented older adults: a cross sectional study.

Dementia is a burgeoning global problem. Novel magnetic resonance imaging (MRI) metrics beyond volumetry may bring new insight and aid clinical trial evaluation of interventions early in the Alzheimer's disease course to complement existing imaging and clinical metrics. To determine whether: (i) normalized regional sodium-MRI values (Na-SI) are better predictors of neurocognitive status than volumetry (ii) cerebral amyloid PET status improves modelling. Nondemented older adult (>60 years) volunteers of known Alzheimer's Disease Assessment Scale (ADAS-Cog11), Mini-Mental State Examination (MMSE) and Consortium to Establish a Registry for Alzheimer's Disease (CERAD) neurocognitive test scores, ApolipoproteinE (APOE) e4 +/- cerebral amyloid PET status were prospectively recruited for 3T sodium-MRI brain scans. Left and right hippocampal, entorhinal and precuneus volumes and Na-SI (using the proportional intensity scaling normalization method with field inhomogeneity and partial volume corrections) were obtained after segmentation and co-registration of 3D-T1-weighted proton images. Descriptive statistics, correlation and best-subset regression analyses were performed. In our 76 nondemented participants (mean(standard deviation) age 75(5) years; woman 47(62%); cognitively unimpaired 54/76(71%), mildly cognitively impaired 22/76(29%)), left hippocampal Na-SI, not volume, was preferentially in the best models for predicting MMSE (Odds Ratio (OR) = 0.19(Confidence Interval (CI) = 0.07,0.53), P-value = 0.001) and ADAS-Cog11 (Beta(B) = 1.2(CI = 0.28,2.1), P-value = 0.01) scores. In the entorhinal analysis, right entorhinal Na-SI, not volume, was preferentially selected in the best model for predicting ADAS-Cog11 (B = 0.94(CI = 0.11,1.8), P-value = 0.03). While right entorhinal Na-SI and volume were both selected for MMSE modelling (Na-SI OR = 0.23(CI = 0.09,0.6), P-value = 0.003; volume OR = 2.6(CI = 1.0,6.6), P-value = 0.04), independently, Na-SI explained more of the variance (Na-SI R 2 = 10.3; volume R 2 = 7.5). No imaging variable was selected in the best CERAD models. Adding cerebral amyloid status improved model fit (Akaike Information Criterion increased 2.0 for all models, P-value < 0.001-0.045). Regional Na-SI were more predictive of MMSE and ADAS-Cog11 scores in our nondemented older adult cohort than volume, hippocampal more robust than entorhinal region of interest. Positive amyloid status slightly further improved model fit.

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