Histopathological study of thrombi retrieved from cerebral arteries following mechanical thrombectomy and correlation with radiographic, clinical outcomes, and thrombus origin
Bibliographic record
Abstract
Background Ischemic stroke is a serious condition with a high risk of lifelong neurological disability. The study aims to evaluate the histopathological composition of clots retrieved during mechanical thrombectomy in acute ischemic stroke. Patients and methods This current study was conducted on 22 patients aged greater than 18 years of both sexes with acute ischemic stroke. All patients underwent mechanical thrombectomy and histopathological examination. Results There was a significant difference between CD3 expression and ischemic heart disease, presumed stroke cause, Alberta stroke program early computed tomography score (ASPECT), collateral score, immediate post-procedural National Institutes of Health Stroke Scale (NIHSS), modified Rankin scale (mRS) at discharge, procedure duration, expanded thrombolysis in cerebral infarction, number of passes, and the presence of brain edema (P < 0.05). ASPECT and collateral scores were significantly higher in the white blood cell group than the fibrin group and red blood cell group (P < 0.05). There was a significant difference between clot and NIHSS immediate post-procedural, mRS at discharge, brain edema, and hemorrhage (P < 0.05). Procedure duration and no passes were significantly higher in the fibrin group compared with the red blood cell group and white blood cell groups (P < 0.05). Conclusions Clot composition was significantly associated with the incidence of hemorrhage and mRS. A good outcome was associated with higher CD3 level and CD31 level; also, CD3 level and CD31 level had a significant relationship with multiple mechanisms of stroke and ASPECT score. Post-intervention NIHSS levels were significantly associated with CD3. Also, CD3 was significantly associated with procedural factors, including procedure duration and procedural thrombolysis in cerebral infarction.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".