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基于体素的[F]氟贝他班脑β淀粉样蛋白正电子发射断层扫描对健康对照、轻度认知障碍和阿尔茨海默病的评估。

Voxel-based evaluation for [F] Florbetaben brain β-amyloid positron emission tomography of healthy control, mild cognitive impairment, and Alzheimer's disease.

作者信息

Lee Tse-Hao, Wang Yuh-Feng, Peng Nan-Jing, Peng Syu-Jyun

机构信息

Department of Nuclear Medicine, Taipei Veterans General Hospital, Taipei.

Department of Biomedical Imaging and Radiological Sciences, National Yang Ming Chiao Tung University, Taipei.

出版信息

Quant Imaging Med Surg. 2024 Dec 5;14(12):9146-9156. doi: 10.21037/qims-24-1100. Epub 2024 Nov 29.

Abstract

BACKGROUND

Positron emission tomography (PET) scans are commonly used to diagnose Alzheimer's disease (AD) by detecting β-amyloid (Aβ) deposition in the cortex; however, brain amyloid plaque load (BAPL) scores based on the visual interpretation of experts are highly subjective. In the current retrospective study, voxel-based processing of [F] Florbetaben ([F] FBB) Aβ PET scans was used to compare images from patients with AD, patients with mild cognitive impairment (MCI), and healthy controls (HCs). The aim of our study was to highlight the gray matter voxels that were higher uptake than white matter and perform group comparison of the numbers of these voxels among AD, MCI and HC subjects.

METHODS

This was a cross-sectional study investigating Aβ PET of AD, MCI and HC subjects from the Global Alzheimer's Association Information Network (GAAIN) database and from Taipei Veterans General Hospital (TVGH) between October 2019 and December 2021. The determination of diagnosis (AD, MCI and HC) from GAAIN database was referred from the notes of this database and that from TVGH was referred from the medical records. Aβ PET scans were processed using statistical parametric mapping software. This analysis identified gray matter voxels presenting [F] FBB uptake intensity exceeding 98% of the maximal uptake intensity in white matter (i.e., positive gray matter voxels). Comparison of numbers of positive gray matter voxels among AD, MCI and HC subjects was performed by analysis of variance (ANOVA) (Kruskal-Wallis) test.

RESULTS

Whole brain observations revealed significant differences between AD patients, MCI patients, and elderly HC subjects in terms of the number of positive gray matter voxels (P=0.0281). In addition, more number of positive gray matter voxels were observed in AD patients than in elderly HC subjects (P=0.036). Most of the elderly HC subjects exhibited no positive gray matter voxels.

CONCLUSIONS

Our preliminary analysis of [F] FBB Aβ PET scans demonstrates proof-of-concept, suggesting that positive gray matter voxels could be used to differentiate among AD, MCI, and HC subjects.

摘要

背景

正电子发射断层扫描(PET)常用于通过检测皮质中的β-淀粉样蛋白(Aβ)沉积来诊断阿尔茨海默病(AD);然而,基于专家视觉解读的脑淀粉样斑块负荷(BAPL)评分具有高度主观性。在当前的回顾性研究中,使用基于体素的[F]氟贝他班([F]FBB)Aβ PET扫描处理方法,对AD患者、轻度认知障碍(MCI)患者和健康对照(HC)的图像进行比较。我们研究的目的是突出显示摄取高于白质的灰质体素,并对AD、MCI和HC受试者中这些体素的数量进行组间比较。

方法

这是一项横断面研究,调查了2019年10月至2021年12月期间来自全球阿尔茨海默病协会信息网络(GAAIN)数据库和台北荣民总医院(TVGH)的AD、MCI和HC受试者的Aβ PET情况。GAAIN数据库的诊断(AD、MCI和HC)依据该数据库的记录确定,TVGH的诊断则依据病历确定。使用统计参数映射软件对Aβ PET扫描进行处理。该分析确定了[F]FBB摄取强度超过白质最大摄取强度98%的灰质体素(即阳性灰质体素)。通过方差分析(ANOVA)(Kruskal-Wallis)检验对AD、MCI和HC受试者中阳性灰质体素的数量进行比较。

结果

全脑观察显示,AD患者、MCI患者和老年HC受试者在阳性灰质体素数量方面存在显著差异(P = 0.0281)。此外,观察到AD患者的阳性灰质体素数量多于老年HC受试者(P = 0.036)。大多数老年HC受试者未表现出阳性灰质体素。

结论

我们对[F]FBB Aβ PET扫描的初步分析证明了概念,表明阳性灰质体素可用于区分AD、MCI和HC受试者。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e2c1/11651969/430c13669964/qims-14-12-9146-f1.jpg

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