P.135 Willisian collateral and cervical carotid stenosis during large vessel occlusion stroke: Observations from computed tomography angiography
Bibliographic record
Abstract
Background: The circle of Willis (CoW) and cervical carotid arteries are important sources of collateral flow during acute large vessel occlusion (LVO) in the anterior circulation. We examined the anatomical components of the circle and the cervical carotid arteries to determine relationship to acute stroke severity. Methods: Consecutive patients with acute LVO who underwent EVT were assessed. Measurements were made of the luminal diameters of 16 anatomical vascular components. Admission NIHSS, ASPECTS and mCTA collateral scores were statistically analyzed for any relationship to vascular measurements. Results: 100 patients were studied. No relationship was found between the collateral Willisian pathways and measures of stroke severity. However, the ophthalmic arteries exhibited a relationship to stroke severity. In adjusted analysis, 1-mm increases in the ipsilateral and contralateral ophthalmic artery diameter were independently associated with a 4.80-point decrease and a 6.31-point increase in the NIHSS scale, respectively. Similarly, a 1.53-point increase and a 2.62-point decrease in the ASPECTS. In the neck a majority showed 0-55% stenosis, with no stenosis between 55% and 95%, and 14% at 95% to 100%. Conclusions: Stroke severity and collateral during LVO is unrelated to Willisian collateral. Ophthalmic artery calibers are related. Acute progression of 55-95% stenoses to complete occlusion occurs in LVO stroke
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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 | 0.000 | 0.004 |
| 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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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".