OBJECTIVE
Magnetic resonance imaging (MRI)-visible enlarged perivascular spaces (PVS) are markers of cerebral small vessel disease (SVD) and aging, processes implicated in both neurodegenerative and cerebrovascular pathologies. However, longitudinal positron emission tomography (PET) studies examining PVS as a mechanism underlying Alzheimer's disease (AD) pathophysiological progression are lacking. Our overall objective was to investigate the associations of baseline PVS burden with white matter hyperintensity (WMH) volume, amyloid-PET, and tau-PET, both cross-sectionally and longitudinally.
METHODS
We examined 2,229 participants across the aging-AD spectrum from the Mayo Clinic Study of Aging (MCSA) and the Mayo Alzheimer's Disease Research Center (ADRC) (mean age = 68.59 ± 12.70 and 48.94% women). PVS and WMH were quantified using a novel in-house algorithm. Amyloid on [11C]Pittsburgh Compound B (PiB)-PET and tau on AV1451-PET were measured. Cross-sectional regional and global associations were examined using canonical correlation analysis (CCA). Longitudinal associations were examined using age- and sex-adjusted linear mixed effect (LME) models with natural splines and subject-wise 10-fold cross-validation.
RESULT
Three distinct associations were observed: (1) PVS in the basal ganglia (PVS-BG) was associated with greater WMH volume both cross-sectionally and longitudinally; (2) PVS-BG covaried with higher PiB standardized uptake value ratio (SUVR) cross-sectionally, with longitudinal trajectory associations limited to amyloid-negative individuals; (3) PVS in the centrum semiovale (PVS-CSO) was not associated with amyloid or tau, but was associated with occipital WMH, a pattern characteristic of CAA.
INTERPRETATION
Findings lend support for PVS-BG as an early indicator of small vessel dysfunction and WMH pathogenesis. Individuals with higher PVS-BG burden exhibited higher WMH burden and faster WMH progression, suggesting that PVS-BG may identify individuals at increased risk of progressive SVD. Evidence linking PVS to downstream AD biomarker progression was weaker. Findings support the relevance of PVS-CSO to CAA, suggesting that they may reflect changes occurring early in the disease process. ANN NEUROL 2026.
Audrey Low, J. Gunter, Mingzhao Hu et al.· Annals of Neurology· 0 citations
Importance
Amyloid positron emission tomography (PET) is increasingly used in research and clinical settings to determine the etiology of cognitive decline and eligibility for amyloid-targeting therapies. To assist with amyloid PET evaluation and to guide clinical decision-making, images can be quantified in a standardized unit called Centiloid, the interpretation of which can vary according to the method and threshold used.
Objective
To collect Centiloid values from available studies and determine robust positivity cutoffs using data-driven methods and correspondence with visual reads.
Data Sources
PubMed search (October 2024) identified studies with Centiloid values. Corresponding authors were invited to share individual participant data. Additional data were obtained through access-controlled repositories and conference outreach (July 2024-July 2025).
Study Selection
Studies were included if they provided Centiloids, radiotracer, age, and sex.
Data Extraction and Synthesis
Each study was analyzed using a unified statistical pipeline; study estimates were pooled using random-effects meta-analysis.
Main Outcomes and Measures
Gaussian mixture models (GMMs) were fitted to Centiloid values for each study. In studies with a bimodal distribution (per integrated completed likelihood), single cutoffs for positivity were set as mean plus 2 SDs of the lower gaussian component. Using GMMs, a double-cutoff approach defined a lower certainty range using a 90% posterior probability cutoff for assignment to the low (amyloid-negative) vs high (amyloid-positive) component. An alternative Centiloid cutoff was derived from maximizing the correspondence (Cohen κ) with the binary visual reads when available.
Results
This meta-analysis included cross-sectional amyloid PET scans acquired with 5 radiotracers from 49 227 participants across 53 studies from 15 countries (mean age, 71 years; 54% female, 62% cognitively impaired). The data-driven GMM approach identified a bimodal distribution in 51 studies (n = 48 786), resulting in a single cutoff for positivity of 18 Centiloids (95% CI,16-19; I2 = 97%). The double-cutoff approach revealed high confidence for interpreting scans as negative when Centiloid values were lower than 11 (95% CI, 9-13; I2 = 95%) and interpreting scans as positive if Centiloid values were higher than 26 (95% CI, 24-28; I2 = 95%). In analyses of correspondence with binary (positive or negative) visual reads of amyloid PET scans (n = 35 045; 36 studies), Centiloids were highly predictive of visual positivity (Cohen κ, 0.86; 95% CI, 0.83-0.89; I2 = 96%) with a cutoff of 27 Centiloids (95% CI, 24-30; I2 = 80%).
Conclusions and Relevance
In this individual participant data meta-analysis, positivity cutoffs converged around 18 Centiloids (data-driven) and 27 Centiloids (visual reads). Findings from a double-cutoff analysis suggest that scans in the 11 to 26 Centiloid range should be interpreted with caution depending on the context of use.
Ganna Blazhenets, David N Soleimani-Meigooni, Konstantinos Chiotis et al.· Journal of the American Medi...· 2 citations