Can DWI-ASPECTS Substitute for Lesion Volume in Acute Stroke?
Bibliographic record
Abstract
BACKGROUND AND PURPOSE: The extent of diffusion lesion on pretreatment imaging is a risk factor for poor outcome and hemorrhagic transformation after thrombolysis, and volumes of 70 to 100 mL have been advocated as cut-offs. However, estimating diffusion-weighted imaging (DWI) lesion volume (VolDWI) in the acute setting may be cumbersome. We aimed to determine whether the DWI-Alberta Stroke Program Early CT Score (DWI-ASPECTS) can substitute for VolDWI. METHODS: DWI-ASPECTS and VolDWI were measured retrospectively on pretreatment MRI (median onset-to-MRI delay=122 minutes) in 330 consecutively treated patients with middle cerebral artery stroke. RESULTS: DWI-ASPECTS and VolDWI were strongly correlated (ρ=-0.82), but each DWI-ASPECTS point corresponded to a wide range of VolDWI. All patients with DWI-ASPECTS≥7 (n=207) had VolDWI<70 mL, whereas 32 of the 34 patients with DWI-ASPECTS<4 had VolDWI>100 mL. However, intermediate DWI-ASPECTS (4-6; n=89) corresponded to highly variable VolDWI (median, 66 mL; interquartile range, 40-98). CONCLUSIONS: Although each DWI-ASPECTS point corresponds to a wide range of volumes, DWI-ASPECTS<4 or ≥7 may be used as reliable surrogates of VolDWI>100 or <70 mL, respectively.
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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".