DWI-ASPECTS as a Predictor of Dramatic Recovery After Intravenous Recombinant Tissue Plasminogen Activator Administration in Patients With Middle Cerebral Artery Occlusion
Bibliographic record
Abstract
BACKGROUND AND PURPOSE: In patients with middle cerebral artery trunk occlusion we investigated whether the diffusion-weighted imaging- the Alberta Stroke Program Early Computed Tomography Score (DWI-ASPECTS) predicts short-term neurological recovery after intravenous recombinant tissue plasminogen activator administration, and investigated how DWI-ASPECTS relates to clinical outcome. METHODS: Dramatic recovery was defined as a ≥ 10-point reduction or a total National Institutes of Health Stroke Scale score of 0 to 1 at 24 hours and 7 days. Early recanalization was defined as recanalization within 1 hours after intravenous recombinant tissue plasminogen activator. Favorable outcome at 3 months was defined as a modified Rankin Scale score of 0 to 2. RESULTS: Sixty-six patients (median age [interquartile], 79 [70-85] years, male; 34 [52%]) were enrolled. DWI-ASPECTS was 6 (5-9). Dramatic recovery was seen in 16 (24%) and 26 (39%) patients at 24 hours and on day 7, respectively. Early recanalization occurred in 22 (33%) patients. DWI-ASPECTS ≥ 7 was an independent predictor of dramatic recovery at 24 hours (odds ratio, 100.85; 95% confidence interval, 4.29-2371.40; P=0.004) and 7 days (odds ratio, 14.15; 95% confidence interval, 2.21-90.48; P=0.005). Although the favorable outcome rate was not significantly different between patients with DWI-ASPECTS ≥ 7 with and without early recanalization (60% versus 31%; P=0.228), it was statistically more frequent in patients with DWI-ASPECTS <7 with early recanalization than those without early recanalization (38% versus 0%; P=0.017). CONCLUSIONS: DWI-ASPECTS predicted short-term recovery in patients with middle cerebral artery trunk occlusion receiving intravenous recombinant tissue plasminogen activator. In patients with lower DWI-ASPECTS, there may still be benefit from early recanalization.
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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 | 0.000 | 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".