伪休息状态的功能性MRI来源于动态敏感性对比 perfusion MRI可以预测结质瘤的认知障碍
Nicholas S Cho1,2,3,4, Chencai Wang1,2, Kathleen Van Dyk5
1From the UCLA Brain Tumor Imaging Laboratory (BTIL) (N.S.C., C.W., F.S., S.O., J.Y., B.M.E.), Center for Computer Vision and Imaging Biomarkers, University of California, Los Angeles, Los Angeles, California.
AJNR. American journal of neuroradiology
|May 8, 2024
概括
这项研究表明,从DSC perfusion MRI中获得的"伪休息状态功能性MRI" (pseudo-rs-fMRI) 可以有效评估功能连接 (FC) 并识别脑瘤患者的认知障碍,提供一个时间有效的临床工具.
科学领域:
- 神经成像是一种神经成像.
- 放射学 放射学是指放射学
- 神经学 神经学
背景情况:
- 休息状态功能性MRI (rs-fMRI) 评估大脑功能连接 (FC),但由于时间和成本的限制,在临床上不经常使用.
- 认知障碍在脑瘤患者中很常见,需要有效的评估方法.
研究的目的:
- 为了研究从DSC perfusion MRI数据中导出"伪rs-fMRI"信号的可行性.
- 评估这种伪rs-fMRI信号是否可以用于FC分析和在质瘤患者中检测认知障碍.
- 为了确定伪rs-fMRI是否可以同时提供输液和FC指标.
主要方法:
- 一项前性研究涉及24名质瘤患者,他们接受了DSC输液MRI,rs-fMRI和神经认知评估.
- 一个"伪-rs-fMRI"信号是由模拟和减去对比动态从DSC输液数据生成的.
- 从伪rs-fMRI,截断的rs-fMRI和完整的rs-fMRI创建了功能网络地图 (默认模式,电机,语言),用于使用Dice分数进行比较.
- 进行了种子对voxel和ROI对ROI分析,以比较认知障碍和非认知障碍组之间的FC.
主要成果:
- 伪-rs-fMRI对群体级网络图的全 rs-fMRI具有很高的相似性 (Dice 分数>0.90) 和良好的患者级协议.
- 伪rs-fMRI和截断的rs-fMRI的子得分在默认模式和语言网络中没有显著差异,但在机动网络中存在差异.
- 使用伪rs-fMRI ROI-to-ROI FC数据的逻辑回归分类器识别了认知障碍患者,敏感度为84.6%,特异性为63.6% (AUC = 0.7762),表现相当于完整的rs-fMRI预测.
结论:
- DSC perfusion MRI-derived pseudo-rs-fMRI是标准的rs-fMRI功能连接性分析的一个可行的方法.
- 这种方法允许在脑瘤患者中同时评估输液和FC指标.
- 伪fMRI具有在临床上可行的时间范围内识别脑瘤患者的认知衰退的潜力.
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