白质高密度的体积和渗透性对认知能力的影响:一项针对有认知障碍和无认知障碍老年群体的 DCE 成像研究。

IF 4.3 3区 材料科学 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC ACS Applied Electronic Materials Pub Date : 2024-10-19 DOI:10.1002/jmri.29631
Changmok Lim, Hunwoo Lee, Yeonsil Moon, Seol-Heui Han, Hee Jin Kim, Hyun Woo Chung, Won-Jin Moon
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引用次数: 0

摘要

背景:血脑屏障(BBB)渗漏对白质高密度(WMH)亚型(位置)的影响及其与临床因素和认知能力的关系仍不清楚。研究类型:前瞻性横断面研究:研究类型:前瞻性横断面研究:共 193 名患有/不患有认知障碍的老年人;128 名女性;平均年龄 70.1 岁(标准偏差 6.8):3T、GE动态对比增强、三维(3D)磁化预处理快速梯度回波(MPRAGE T1WI)、三维流体衰减反转恢复(FLAIR):在三维 FLAIR 上使用 FMRIB 自动分割工具算法分割脑室周围 WMH(PWMH)、深部 WMH(DWMH)和正常外观白质(NAWM)。在三维 T1WI 上分割海马体积和皮质体积。使用 Patlak 模型确定了 BBB 渗透性(Ktrans)和血浆容量(Vp)。对血管风险因素和认知能力进行了评估:进行了单变量和多变量分析,以确定与 WMH 通透性相关的因素。逻辑回归分析评估了WMH成像特征与认知能力之间的关联,并对年龄、性别、载脂蛋白E4状态、教育程度和脑容量进行了调整。A P值结果:与DWMH(0.496 ± 0.478 × 10-3分钟-1)和NAWM(0.476 ± 0.398 × 10-3分钟-1)相比,PWMH的Ktrans(0.598 ± 0.509 × 10-3分钟-1)更高。在 PWMH 中,较小的 PWMH 容量和心血管疾病(CVD)病史与较高的 Ktrans 显著相关。在 DWMH 中,较高的 Ktrans 与 CVD 病史和皮质体积有关。在 NAWM 中,Ktrans 与心血管疾病史和血脂异常有关。经过协变量调整后,较大的PWMH体积(比值比[OR]1.106,置信区间[CI]:1.021-1.197)和较小的海马体积(比值比0.069;CI:0.019-0.253)与较差的整体认知能力独立相关:数据结论:PWMH中BBB渗漏的升高与较低的PWMH体积和既往心血管疾病史有关。值得注意的是,PWMH体积而非通透性与认知能力下降相关,这表明WMH中的BBB渗漏可能是心血管疾病的后果,而不是疾病进展的标志。
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Volume and Permeability of White Matter Hyperintensity on Cognition: A DCE Imaging Study of an Older Cohort With and Without Cognitive Impairment.

Background: The impact of blood-brain barrier (BBB) leakage on white matter hyperintensity (WMH) subtypes (location) and its association with clinical factors and cognition remains unclear.

Purpose: To investigate the relationship between WMH volume, permeability, clinical factors, and cognition in older individuals across the cognitive spectrum.

Study type: Prospective, cross-sectional.

Subjects: A total of 193 older adults with/without cognitive impairment; 128 females; mean age 70.1 years (standard deviation 6.8).

Field strength/sequence: 3 T, GE Dynamic contrast-enhanced, three-dimensional (3D) Magnetization-prepared rapid gradient-echo (MPRAGE T1WI), 3D fluid-attenuated inversion recovery (FLAIR).

Assessment: Periventricular WMH (PWMH), deep WMH (DWMH), and normal-appearing white matter (NAWM) were segmented using FMRIB automatic segmentation tool algorithms on 3D FLAIR. Hippocampal volume and cortex volume were segmented on 3D T1WI. BBB permeability (Ktrans) and blood plasma volume (Vp) were determined using the Patlak model. Vascular risk factors and cognition were assessed.

Statistical tests: Univariate and multivariate analyses were performed to identify factors associated with WMH permeability. Logistic regression analysis assessed the association between WMH imaging features and cognition, adjusting for age, sex, apolipoprotein E4 status, education, and brain volumes. A P-value <0.05 was considered significant.

Results: PWMH exhibited higher Ktrans (0.598 ± 0.509 × 10-3 minute-1) compared to DWMH (0.496 ± 0.478 × 10-3 minute-1) and NAWM (0.476 ± 0.398 × 10-3 minute-1). Smaller PWMH volume and cardiovascular disease (CVD) history were significantly associated with higher Ktrans in PWMH. In DWMH, higher Ktrans were associated with CVD history and cortical volume. In NAWM, it was linked to CVD history and dyslipidemia. Larger PWMH volume (odds ratio [OR] 1.106, confidence interval [CI]: 1.021-1.197) and smaller hippocampal volume (OR 0.069; CI: 0.019-0.253) were independently linked to worse global cognition after covariate adjustment.

Data conclusion: Elevated BBB leakage in PWMH was associated with lower PWMH volume and prior CVD history. Notably, PWMH volume, rather than permeability, was correlated with cognitive decline, suggesting that BBB leakage in WMH may be a consequence of CVD rather than indicate disease progression.

Level of evidence: 2 TECHNICAL EFFICACY: Stage 3.

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