Utility of cerebrovascular imaging biomarkers to detect cerebral amyloidosis.

ABSTRACT

INTRODUCTION: The relationship between cerebrovascular disease (CVD) and amyloid beta (Aß) in Alzheimer's disease (AD) is understudied. We hypothesized that magnetic resonance imaging (MRI)-based CVD biomarkers-including cerebral microbleeds (CMBs), lacunar infarction, and white matter hyperintensities (WMHs)-would correlate with Aß positivity on positron emission tomography (Aß-PET). METHODS: We cross-sectionally analyzed data from the Alzheimer's Disease Neuroimaging Initiative (ADNI, N = 1352). Logistic regression was used to calculate odds ratios (ORs), with Aß-PET positivity as the standard-of-truth. RESULTS: Following adjustment, WMHs (OR = 1.25) and superficial CMBs (OR = 1.45) remained positively associated with Aß-PET positivity (p < 0.001). Deep CMBs and lacunes exhibited a varied relationship with Aß-PET in cognitive subgroups. The combined diagnostic model, which included CVD biomarkers and other accessible measures, significantly predicted Aß-PET (pseudo-R2 = 0.41). DISCUSSION: The study highlights the translational value of CVD biomarkers in diagnosing AD, and underscores the need for more research on their inclusion in diagnostic criteria. CLINICALTRIALS gov ADNI-2 (NCT01231971), ADNI-3 (NCT02854033). HIGHLIGHTS Cerebrovascular biomarkers linked to amyloid beta (Aß) in Alzheimer's disease (AD). White matter hyperintensities and cerebral microbleeds reliably predict Aß-PET positivity. Relationships with Aß-PET vary by cognitive stage. Novel accessible model predicts Aß-PET status. Study supports multimodal diagnostic approaches.