多扩散MRI模型的比较概述,以描述多发性硬化病变和周围斑块的微观结构
Colin Vanden Bulcke1, Anna Stölting2, Dragan Maric3
1Neuroinflammation Imaging Lab (NIL), Institute of NeuroScience, Université catholique de Louvain, Brussels, Belgium; ICTEAM Institute, Université catholique de Louvain, Louvain-la-Neuve, Belgium.
NeuroImage. Clinical
|March 23, 2024
概括
先进的MRI扩散模型准确地描述了多发性硬化症 (MS) 病变和周围组织损伤. 像NODDI这样的多分区模型优于MS微结构分析的简单方法.
科学领域:
- 神经成像是一种神经成像.
- 生物物理学的生物物理.
- 神经学 神经学
背景情况:
- 对多发性硬化症 (MS) 组织病理的准确体内表征具有挑战性.
- 异质性MS病变和外伤组织损伤需要先进的成像技术进行详细分析.
研究的目的:
- 调查多扩散模型在描述各种多发性硬化病变类型和周围白质中的微结构损伤方面的性能.
- 为了比较不同扩散模型的有效性,包括神经元导向分散和密度 (NODDI) 和扩散张力成像 (DTI),与定量放松时间 (T1) 映射.
主要方法:
- 在83名多发性硬化患者和23名健康对照中利用了定量T1映射,无模型的平均扩散信号和四个多扩散模型.
- 分析了活跃的,慢性活跃的和慢性不活跃的病变,包括偏磁边缘病变 (PRL+) 和增强对比度的病变 (CEL).
- 评估了周围斑块白质 (WM) 和看起来正常的白质 (NAWM) 的微观结构损伤.
主要成果:
- 多扩散模型有效地描述了CEL的微观结构模式及其演变.
- 微观结构损伤超越可见的病变扩展到周围斑WM和NAWM,在MS患者和健康对照人群中观察到显著差异.
- 与更简单的模型 (DTI;平均AUC=0.6942) 和T1映射 (平均AUC=0.73375) 相比,多分区模型 (例如,NODDI) 显示出更高的性能 (平均AUC=0.8002).
结论:
- 先进的多扩散模型,特别是像NODDI这样的多隔间方法,对于阐明MS病变复杂性和周围斑块病理学至关重要.
- 在MS中微观结构损伤很普遍,延伸到看起来正常的白质中.
- 适当的模型选择对于精确的体内评估MS神经病理学至关重要.
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