Mediation of Multiphase Collateral Status on Functional Outcome by ASPECTS‐Based Net Water Uptake in Acute Stroke
Bibliographic record
Abstract
BACKGROUND AND PURPOSES: The Alberta Stroke Program Early CT Score-based net water uptake (ASPECTS-NWU) is a quantitative imaging biomarker used to assess early ischemic changes in acute ischemic stroke patients. ASPECTS-NWU has been investigated in identifying stroke onset time, measuring ischemic tissue edema, and predicting functional outcomes. However, the mediating effect of ASPECTS-NWU and its association with collaterals, infarct volume, and functional outcome still need to be explored. Therefore, we hypothesized that ASPECTS-NWU is a mediator between collateral circulation and infarct volume and investigated their association with outcome. METHODS: There were 201 patients, and 131 of them underwent mechanical thrombectomy. Collaterals were graded using the multiphase Menon score. The mediating effect of ASPECTS-NWU between collaterals and infarct volume was investigated. The association between infarct volume, collaterals, recanalization status, and functional outcome was assessed by univariable and multivariate logistic regression analysis. RESULTS: ), and smaller infarct volume, ischemic tissue volume, and penumbra volume. ASPECTS-NWU was a mediator between collaterals and infarct volume, and the contribution rate of the mediator was 27.9%. In multivariate logistic regression analysis, infarct volume and recanalization status were associated with functional outcomes. CONCLUSIONS: ASPECTS-NWU was a mediator and played a partial role between collaterals and infarct volume. Infarct volume and recanalization status were strong predictors of functional outcome. ASPECTS-NWU and collaterals indirectly influenced functional outcomes by regulating infarct volume.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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) | 0.000 | 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 teacher head, 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".