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Record W2286754447 · doi:10.1161/str.43.suppl_1.a2891

Abstract 2891: Severity of Amyloid Deposition is Associated with Ischemic White Matter Disease in Cerebral Amyloid Angiopathy but Not in Healthy Elderly: a PET/MRI Correlative Study

2012· article· en· W2286754447 on OpenAlexaff
M. Edip Gurol, Christopher Gidicsin, Anastasia Vashkevich, Alison Ayres, Eitan Auriel, Sergi Martínez, Amy Halpin, Alex Becker, Jeremy Carmasin, Kristen M Schwab, Anand Viswanathan, David H. Salat, Jonathan Rosand, Keith A. Johnson, Steven M. Greenberg

Bibliographic record

VenueStroke · 2012
Typearticle
Languageen
FieldMedicine
TopicIntracerebral and Subarachnoid Hemorrhage Research
Canadian institutionsTitan Medical (Canada)
Fundersnot available
KeywordsMedicineCerebral amyloid angiopathyPittsburgh compound BDementiaHyperintensityWhite matterStroke (engine)Fluid-attenuated inversion recoveryPathologyMagnetic resonance imagingVascular dementiaAmyloid (mycology)CardiologyInternal medicineRadiologyDisease

Abstract

fetched live from OpenAlex

Background and Purpose: Cerebral Amyloid Angiopathy (CAA), characterized by accumulation of amyloid beta proteins in the walls of cortical/leptomeningeal vessels, is increasingly recognized as a cause of ischemic brain injury in addition to its classical role in lobar cerebral hemorrhages (ICH). Pittsburgh Compound B (PiB) is a PET ligand that has been shown to label the vascular amyloid deposits of CAA, allowing invivo quantification of the severity of CAA pathology. We hypothesized that there would be a dose-dependent relationship between vascular amyloid burden (measured by PiB) and brain ischemia (measured by extent of MRI markers of chronic ischemia) in patients diagnosed with CAA but not in healthy elderly without evidence of advanced CAA. Methods: Thirty-five non-demented patients (9 women) with a diagnosis of CAA according to Boston Criteria and 50 healthy elderly subjects (29 women) without lobar microhemorrhages or history of stroke/dementia who underwent a brain MRI scan and PiB-PET imaging were analyzed. Global cortical PiB retention was calculated using cerebellar cortex as the reference tissue input function and expressed as the distribution volume ratio (DVR). Quantitative analysis of white matter T2-hyperintensity (WMH) volume on MRI FLAIR sequences was performed using computer-assisted techniques. Presence of lacunar infarcts was also recorded in each subject. Multivariate linear regression was used to assess the association between PiB retention and WMH volume while controlling for other vascular risk factors within each group. Results: CAA patients were younger than healthy elderly (67±10 vs 73±7, p=0.004) but had higher amounts of WMH (19ml IQR:6.7-31.8 vs 3.2ml IQR:2-5.6, p<0.001) and mean global DVR (1.34±0.19 vs 1.17±0.13, p<0.001). In bivariate analyses, global DVR and WMH showed a strong correlation (Spearman's rho=0.52, p<0.001) in the CAA cohort. This association did not substantially change in a multivariate model that included age, gender, and vascular risk factors as covariates. Global DVR and WMH were not correlated (Spearman's rho=0.01, p=0.95) in the healthy elderly group. Nine CAA patients (26%) had a lacunar infarction on imaging against only 1 healthy control (2%), p=0.001. CAA patients with lacunes had higher mean DVR (p=0.03), but this association did not remain independent after adjustment for age. Conclusions: Our results indicate that global PiB retention independently correlates with volume of white matter disease on FLAIR in patients with CAA but not in healthy elderly. These findings support the idea that vascular amyloid burden directly contributes to chronic cerebral ischemia in the CAA population and highlights the possible utility of amyloid imaging as a marker of CAA severity.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.014
GPT teacher head0.274
Teacher spread0.260 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2012
Admission routes1
Has abstractyes

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