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实时二维相位对比磁共振成像评估正常压力脑积水中心脏和呼吸驱动的脑脊液流动

Real-Time 2D Phase-Contrast MRI to Assess Cardiac- and Respiratory-Driven CSF Movement in Normal Pressure Hydrocephalus.

作者信息

Karki Pragalv, Murphy Matthew C, Ganji Sandeep, Gunter Jeffrey L, Graff-Radford Jonathan, Jones David T, Botha Hugo, Cutsforth-Gregory Jeremy K, Elder Benjamin D, Jack Clifford R, Huston John, Cogswell Petrice M

机构信息

Department of Radiology, Mayo Clinic, Rochester, Minnesota, USA.

Department of Neurology, Mayo Clinic, Rochester, Minnesota, USA.

出版信息

J Neuroimaging. 2025 Jan-Feb;35(1):e70000. doi: 10.1111/jon.70000.

Abstract

BACKGROUND AND PURPOSE

In idiopathic normal pressure hydrocephalus (iNPH) patients, cerebrospinal fluid (CSF) flow is typically evaluated with a cardiac-gated two-dimensional (2D) phase-contrast (PC) MRI through the cerebral aqueduct. This approach is limited by the evaluation of a single location and does not account for respiration effects on flow. In this study, we quantified the cardiac and respiratory contributions to CSF movement at multiple intracranial locations using a real-time 2D PC-MRI and evaluated the diagnostic value of CSF dynamics biomarkers in classifying iNPH patients.

METHODS

This study included 37 participants: 16 iNPH, 10 Alzheimer's disease (AD), and 11 cognitively unimpaired (CU) controls. Anatomical and real-time (non-gated) PC images were acquired in a 3T Philips scanner. CSF flow was assessed at the foramen magnum, fourth ventricle, Sylvian fissure, lateral ventricle, and cerebral aqueduct. We calculated three CSF dynamics biomarkers: mean velocity amplitude, cardiac signal power, and respiratory signal power. Biomarkers from each location were evaluated for classifying iNPH versus AD and CU using support vector machine (SVM). A p-value of 0.05 or less was considered statistically significant.

RESULTS

The velocity amplitude and cardiac signal power were significantly reduced in iNPH compared to CU (p < 0.005) and AD (p < 0.05) at the lateral ventricle. The SVM model using biomarkers from the lateral ventricle performed significantly better at classifying iNPH than the other locations in terms of accuracy (p < 0.005) and diagnostic odds ratio (p < 0.05).

CONCLUSION

Evaluation of CSF movement beyond the cerebral aqueduct may aid in identifying patients with and understanding the pathophysiology of iNPH.

摘要

背景与目的

在特发性正常压力脑积水(iNPH)患者中,通常通过心脏门控二维(2D)相位对比(PC)MRI评估中脑导水管的脑脊液(CSF)流动。这种方法受限于对单一位置的评估,且未考虑呼吸对流动的影响。在本研究中,我们使用实时2D PC-MRI量化了心脏和呼吸对多个颅内位置CSF运动的贡献,并评估了CSF动力学生物标志物在iNPH患者分类中的诊断价值。

方法

本研究纳入37名参与者:16名iNPH患者、10名阿尔茨海默病(AD)患者和11名认知未受损(CU)对照者。在3T飞利浦扫描仪中采集解剖学和实时(非门控)PC图像。在枕骨大孔、第四脑室、大脑外侧裂、侧脑室和中脑导水管评估CSF流动。我们计算了三种CSF动力学生物标志物:平均速度幅值、心脏信号功率和呼吸信号功率。使用支持向量机(SVM)评估每个位置的生物标志物对iNPH与AD和CU进行分类的情况。p值小于或等于0.05被认为具有统计学意义。

结果

与CU(p < 0.005)和AD(p < 0.05)相比,iNPH患者侧脑室的速度幅值和心脏信号功率显著降低。使用来自侧脑室生物标志物的SVM模型在分类iNPH方面,在准确性(p < 0.005)和诊断比值比(p < 0.05)方面显著优于其他位置。

结论

评估中脑导水管以外的CSF运动可能有助于识别iNPH患者并理解其病理生理学。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/35a7/11686571/2662a09cf61a/JON-35-0-g003.jpg

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