结构性MRI在神经疾病中的当前临床应用
Woo-Suk Tae1, Byung-Joo Ham1,2, Sung-Bom Pyun1,3
1Brain Convergence Research Center, Korea University College of Medicine, Seoul, Korea.
Journal of clinical neurology (Seoul, Korea)
|July 10, 2025
概括
结构磁共振成像 (sMRI) 分析检测了神经系统疾病的微妙脑部变化. 定量技术改善了阿尔茨海默氏症和帕金森病等疾病的诊断,预后和治疗监测.
科学领域:
- 神经成像是一种神经成像.
- 神经学 神经学
- 放射学 放射学是一门学科.
背景情况:
- 结构磁共振成像 (sMRI) 提供了高分辨率的解剖数据,对神经疾病的评估至关重要.
- 定量后处理技术提高sMRI实用性超出视觉检查,检测微妙的形态变化.
研究的目的:
- 审查基于smri的先进分析技术的临床应用.
- 突出这些方法在诊断和管理神经和精神疾病中的作用.
主要方法:
- 总结了大脑体积,形状分析,基于voxel的形态测量 (VBM),基于表面的形态测量,基于源的形态测量,以及基于voxel的病变症状映射 (VLSM).
- 讨论了用传统方法看不到的结构性大脑变化的量化.
主要成果:
- 这些sMRI技术在临床上与阿尔茨海默病,帕金森病,多发性硬化症,和严重抑郁症相关.
- 这些方法可以评估缩,皮质表面结构,网络层面的共变性和病变-症状相关性.
结论:
- 先进的sMRI后处理提高了神经系统疾病的诊断准确性,预后和治疗监测.
- 这些定量工具越来越多地被纳入临床神经病学实践中.
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