Clinical Utility of Electronic Alberta Stroke Program Early Computed Tomography Score Software in the ENCHANTED Trial Database
Bibliographic record
Abstract
Background and Purpose— Clinical utility of electronic Alberta Stroke Program Early CT Score (e-ASPECTS), an automated system for quantifying signs of infarction, was evaluated in a large database of thrombolyzed patients with acute ischemic stroke. Methods— All baseline noncontrast computed tomographic scans of patients with anterior circulation acute ischemic stroke who participated in the alteplase dose arm of the randomized controlled trial ENCHANTED (Enhanced Control of Hypertension and Thrombolysis Stroke Study) were reviewed; poor quality and large (>6 mm) slice thickness were excluded. Included scans had e-ASPECTS scores correlated with baseline neurological severity (National Institutes of Health Stroke Scale scores) and 90-day disability outcomes (modified Rankin Scale scores). Multivariable logistic regression models were used to determine the predictive ability of e-ASPECTS for disability outcomes and symptomatic intracranial hemorrhage. Results— Of 2426 available computed tomographic images, 1480 (61%) were included in analyses of e-ASPECTS scores (median 9 [interquartile range, 8–10], 77% with good [range, 8–10] scores). Lower e-ASPECTS scores (per 1-point decrease) were significantly associated with increasing baseline National Institutes of Health Stroke Scale scores ( r , −0.31; P <0.0001) and 90-day poor outcome (modified Rankin Scale scores, 2–6; r , −0.27; P <0.001). Adjusted odds ratios and 95% confidence intervals for 90-day outcomes were death or disability (modified Rankin Scale scores, 2–6; 0.91 [0.85–0.97]), death and major disability (modified Rankin Scale scores, 3–6; 0.89 [0.83–0.95]), and death (0.86 [0.79–0.95]); and for symptomatic intracranial hemorrhage, according to the Implementation of Thrombolysis in Stroke-Monitoring Study criteria was 0.87 (0.72–1.05). Conclusions— e-ASPECT scores from thin computed tomographic slices (≤6 mm) were highly correlated with baseline neurological severity and independently predict functional recovery and adverse outcomes in acute ischemic stroke. Clinical Trial Registration— URL: https://www.clinicaltrials.gov . Unique identifier: NCT01422616.
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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 | 0.007 | 0.023 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| 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".