A potential VEGF-driven hypothesis of calvarial centripetal proliferation in cerebral proliferative angiopathy
Bibliographic record
Abstract
Cerebral proliferative angiopathy (CPA) is a rare subtype of cerebral arteriovenous malformation, characterized by unique angiographic features and clinical presentations. Although the clinical and angiographic characteristics of CPA have been well described, their impact on the surrounding tissues remains underexplored. Herein, we investigated the presence of calvarial thickening in patients with CPA, and discuss its potential pathogenesis. This retrospective multicenter cohort study enrolled 16 CPA patients from our institutions. Patients were identified by a search of the hospital medical records for key words related to "cerebral proliferative angiopathy." Data on demographics, CPA characteristics, clinical symptoms, and calvarial thickening were collected and analyzed using CT and MRI. Statistical analyses were performed using t-tests and Fisher's exact tests, with significance set at P < 0.05. Patients with CPA ranged from 4 to 69 years of age and underwent skull evaluation at a median age of 26.5 years. Calvarial thickening was present in 43.8% of cases, predominantly affecting the frontal bone, and extending bilaterally. A trend toward calvarial thickening was observed in patients with concomitant signs of cerebral venous congestion (p = 0.06), while no significant association with age, sex, or symptoms was found. Calvarial thickening displayed centripetal proliferation with trabecular formation extending from the inner table. This study identified Calvarial centripetal proliferation in a significant proportion of patients with CPA. We hypothesized that this may be related to elevated vascular endothelial growth factor levels due to the proangiogenic nature of CPA.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".