Digital quantification of vascular β-amyloid and perivascular plaques in cerebral amyloid angiopathy
Year: 2026
Type: article
Abstract: Introduction: This study aimed to 1) develop a quantitative approach to automate detection of cortical CAA-positive vessels separate from β-amyloid plaques, 2) validate digital pathology classifier for CAA against manual scoring, and 3) characterize the spatial distribution of perivascular β-amyloid plaques in relation to CAA-positive vessels. Methods: Digital pathology classifiers were trained on the HALO AI platform to distinguish cortical CAA-positive vessels from β-amyloid plaques in the calcarine cortex. Classifiers were applied to digitized histopathologic slides (n = 100), previously rated by expert neuropathologists. Slide level digital quantitative measures for CAA (CAA classified area and vascular β-amyloid percent positivity) and for β-amyloid plaques (β-amyloid plaque classified area) were compared with manual CAA scores and Alzheimer's disease neuropathologic change (ADNC). Perivascular plaques, defined as β-amyloid plaques within a 0- to 150-micron concentric distance from the center of CAA-positive vessels, were identified. Results: = 0.79, respectively). The number of CAA-positive vessels per slide ranged from 0 to 820, with a median of 3 vessels in score 1, 12 in score 2, 153 in score 3, and 399 in score 4. Separately, digital quantification of β-amyloid plaque showed strong correlations with Thal phase (r = 0.80) and moderate correlations with ADNC (r = 0.60). Interestingly, the total β-amyloid plaque area was relatively similar across manual CAA scores. However, spatial proximity analysis revealed that cases with higher CAA scores had more perivascular β-amyloid plaques close to CAA-positive vessels. Conclusion: Digital pathology classifiers reliably distinguish cortical CAA vessels from β-amyloid plaques and can be utilized to study plaque proximity to CAA-positive vessels severity, supporting the use of digital pathology to advance understanding of CAA pathogenesis.
Institution: Rush University Medical Center
Language: English
Subfield: Neurology
Field: Medicine
Domain: Health Sciences
Open Access status: gold
Estimated APC paid: $3,790
Funder: National Institute on Aging
Awards: Epidemiologic Study of Neural Reserve and Neurobiology of Aging, Risk Factors, Pathology, and Clinical Expressions of AD, Rush Alzheimer's Disease Core Center, Small vessel disease contributions to neurodegeneration in Alzheimer's disease, Racial Differences in Late-Life Cognitive decline and risk of Alzheimer's Disease, Rush Alzheimer's Disease Research Center
OpenAlex ID: W7202355696
