Real‐Time 2D Phase‐Contrast MRI to Assess Cardiac‐ and Respiratory‐Driven CSF Movement in Normal Pressure Hydrocephalus
Year: 2024
Type: article
Study design: Observational Study
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.
Source: Journal of Neuroimaging
DOI: 10.1111/jon.70000
Institution: Mayo Clinic
Language: English
Subfield: Cellular and Molecular Neuroscience
Field: Neuroscience
Domain: Life Sciences
Open Access status: hybrid
Estimated APC paid: $3,570
Funder: National Institutes of Health
Awards: G9000020322, G9000043930
OpenAlex ID: W4405919946
