Cerebral perivascular spaces as predictors of dementia risk and accelerated brain atrophy
Giuseppe Barisano1, Michael Iv2,
1Department of Neurosurgery, Stanford University, Stanford, CA, USA.
Abstract:
Cerebral small vessel disease, an important risk factor for dementia, lacks robust, in vivo measurement methods. Perivascular spaces (PVS) on brain MRI are surrogates for small parenchymal blood vessels and their perivascular compartment, and may relate to brain health. We developed a novel, robust algorithm to automatically assess PVS count and size on MRI, and investigated their relationship with dementia risk and brain atrophy. We analyzed 46,478 clinical measurements of cognitive functioning and 20,845 brain MRI scans from 10,004 participants (71.1±9.7 years-old, 56.6% women). Fewer PVS and larger PVS diameter at baseline were associated with higher dementia risk and accelerated brain atrophy. Longitudinal trajectories of PVS markers were significantly different in non-demented individuals who converted to dementia compared with non-converters. In simulated placebo-controlled trials for treatments targeting cognitive decline, screening out participants less likely to develop dementia based on our PVS markers enhanced the power of the trial. These novel radiographic cerebrovascular markers may improve risk-stratification of individuals, potentially reducing cost and increasing throughput of clinical trials to combat dementia.
Insights
New MRI methods can assess perivascular spaces (PVS) to predict dementia risk. Fewer PVS and larger PVS size indicate higher risk and faster brain atrophy, aiding clinical trial design.
Area of Science:
- Neuroimaging
- Vascular Neurology
- Geriatric Medicine
Background:
- Cerebral small vessel disease is a key dementia risk factor, but lacks reliable in vivo measurement tools.
- Perivascular spaces (PVS) on MRI may reflect small vessel health and the perivascular compartment.
- Existing PVS assessment methods are not robust for large-scale studies.
Conclusions:
- Automated PVS assessment using novel MRI algorithms provides robust, in vivo biomarkers for cerebrovascular health.
- PVS count and size are significant predictors of dementia risk and brain atrophy.
- These radiographic markers can enhance individual risk stratification for dementia.
- Incorporating PVS markers into clinical trial design can improve efficiency and reduce costs in dementia research.
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