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在轻度认知障碍进展期间大脑新陈代谢的区域变化:基于放射学的纵向研究

Xuxu Mu^1,2, Caozhe Cui^1,2, Jue Liao^1,3

¹Shanxi Key Laboratory of Molecular Imaging, Shanxi Medical University, Taiyuan, 030001, Shanxi, People's Republic of China.

|June 30, 2024

概括

pozitron发射断层扫描 (PET) 放射学模型可以预测轻度认知障碍 (MCI) 到阿尔茨海默病 (AD) 的进展. 一个多区域模型在识别患有AD高风险的患者方面表现出卓越的准确性.

科学领域:

神经成像是一种神经成像.
无线电学 (Radiomics) 是一种辐射学.
阿尔茨海默氏症疾病研究研究

背景情况:

轻度认知障碍 (MCI) 是阿尔茨海默氏病 (AD) 的一个前兆阶段.
对MCI到AD过渡的纵向预测对于及时干预至关重要.
对PET图像的放射学分析提供了一种非侵入性的方法来识别预测生物标志物.

研究的目的:

开发和验证基于PET的放射学模型,用于预测MCI到AD的进展.
为了确定与MCI转换相关的关键大脑区域.
为了比较单区域与多区域模型的预测性能.

主要方法:

在48个月内,从ADNI数据库分析了278名MCI患者.
基于18F-FDG PET图像的voxel分析,以确定SUV显著差异.
从已识别的大脑区域提取和选择放射性特征.
使用AUC指标的预测模型的开发和评估.

主要成果:

四个大脑区域 (叶,丘脑,边缘系统) 参与了MCI的进展.
边缘系统 (ROI4) 模型显示了高的预测准确性 (AUC 0.803训练,0.733验证).
一个多区域模型 (ROI总量) 的表现明显优于单区域模型 (AUC 0.884培训,0.816验证).

结论:

边缘系统与MCI到AD的进展密切相关.
与单区域模型相比,多区域PET放射学模型可以更好地预测MCI转换为AD.
这种方法增强了非侵入性诊断,并支持阿尔茨海默病的早期干预策略.

关键词:

阿尔茨海默病的疾病阿尔茨海默病的疾病.机器学习机器学习轻度认知障碍轻度认知障碍定子发射断层扫描 (PET) 是一种定子发射断层扫描.无线电学 (Radiomics) 是一种辐射学.

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