生物标志物 生物标志物
Ana Bea Solana Sanchez1,2, Brice Fernandez3, David J Lythgoe2
1GE Healthcare, Munich, Bayern, Germany.
Alzheimer's & dementia : the journal of the Alzheimer's Association
|December 25, 2025
概括
PREDICTOM项目开发了一种协调的MRI协议,以确定阿尔茨海默病的风险. 该协议使用先进的技术在50岁以上的个体中检测早期生物标志物.
科学领域:
- 神经成像是一种神经成像.
- 生物标志物发现发现
- 人工智能的人工智能
背景情况:
- 由欧盟资助的PREDICTOM项目旨在开发新的生物标志物,用于早期识别患有阿尔茨海默病 (AD) 高风险的个体.
- 本研究的重点是详细说明将在七个欧洲临床中心实施的磁共振 (MR) 成像协议.
研究的目的:
- 描述用于多中心研究的PREDICTOM MR协议的理由和设计.
- 建立一个协调的成像协议,以便在不同临床场所和扫描仪类型中一致采集数据.
主要方法:
- 该协议涉及从615名50岁以上的健康受试者收集MR数据,对较高/较低AD风险的目标比率为80/20%.
- 数据采集将在七个欧洲中心使用来自两个供应商和六种不同型号的3T MR扫描仪进行,以确保与现代临床扫描仪的兼容性.
- 综合性协议包括八种数据类型,旨在提取与AD相关的解剖和功能特征,总考试时间不超过一个小时.
主要成果:
- 预测MRI协议包括定量敏感性测绘 (QSM) 用于微型血液检测和磁共振光谱 (MRS) 用于识别早期AD相关的代谢变化.
- 对于具有较低梯度性能的扫描仪的适应包括在静止状态fMRI (rsfMRI) 中潜在使用部分里埃图谱和减少的2扩散协议.
- 该协议已经在四台扫描仪 (2家供应商,3款机型) 上进行了初步测试,并正在进行协调工作.
结论:
- 该PREDICTOM MR协议旨在探索现有和新型MRI生物标志物.
- 该协议旨在促进早期识别患有阿尔茨海默病高风险的个人.
- 在这个多中心研究中,持续的协调对于减少中心间和扫描器间偏差至关重要.
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