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基于 MRI 的半定量指标评估阿尔茨海默病、轻度认知障碍和正常老化中的脑萎缩和病变。

An MRI-based semiquantitative index for the evaluation of brain atrophy and lesions in Alzheimer's disease, mild cognitive impairment and normal aging.

机构信息

National Research Council Canada, Institute for Biodiagnostics (Atlantic), Halifax, N.S., Canada.

出版信息

Dement Geriatr Cogn Disord. 2010;30(2):121-30. doi: 10.1159/000319537. Epub 2010 Aug 21.

DOI:10.1159/000319537
PMID:20733305
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC2969164/
Abstract

BACKGROUND

This study investigates how T(1)-weighted MRI can be used to evaluate brain anatomical changes. We investigated these changes in Alzheimer's disease (AD) and normal aging.

METHODS

A semiquantitative brain atrophy and lesion index (BALI) was constructed by adapting existing visual rating scales and validated in 3 datasets.

RESULTS

The T(1)- and T(2)-weighted-imaging-based scores were highly correlated. They were both closely associated with age and with cognitive test scores.

CONCLUSION

The T(1)-based BALI helps describe brain structural variability in AD, mild cognitive impairment and normal aging.

摘要

背景

本研究旨在探讨 T1 加权 MRI 如何用于评估脑解剖结构变化。我们研究了阿尔茨海默病 (AD) 和正常衰老过程中的这些变化。

方法

通过采用现有的视觉评分量表，构建了半定量脑萎缩和病变指数 (BALI)，并在 3 个数据集进行了验证。

结果

T1 和 T2 加权成像的评分高度相关。它们都与年龄和认知测试评分密切相关。

结论

基于 T1 的 BALI 有助于描述 AD、轻度认知障碍和正常衰老过程中的脑结构变异性。

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