Comparison of Noncontrast Computed Tomography, Multiphase Computed Tomography Angiography, and Computed Tomography Perfusion to Assess Infarct Growth Rate in Acute Stroke
Bibliographic record
Abstract
BACKGROUND: Infarct growth rate is remarkably heterogeneous in acute ischemic stroke, reflecting diverse clinical-physiological phenotypes. We compared different methods of estimating infarct growth rate in patients with acute ischemic stroke undergoing thrombectomy using multimodal computed tomography (CT) stroke imaging. METHODS: Secondary analysis of the international ESCAPE-NA1 trial (Efficacy and Safety of Nerinetide for the Treatment of Acute Ischemic Stroke) which evaluated the effect of nerinetide in patients with large vessel occlusion undergoing thrombectomy. Infarct growth rate was estimated leveraging each component of multimodal stroke CT imaging: (1) 10 minus baseline Alberta Stroke Program Early CT Score (ASPECTS) divided by hours elapsed from symptom onset on noncontrast CT (ASPECTS decay per hour); (2) collateral status on multiphase CT angiography (mCTA), and (3) hypoperfusion intensity ratio on CT perfusion. Patients were dichotomized into intermediate and slow progressors (since fast progressors were likely to be excluded from ESCAPE-NA1 based on trial enrollment criteria) according to median ASPECTS decay, presence of good versus moderate/poor mCTA collaterals, and median hypoperfusion intensity ratio, respectively. Associations between progressor phenotypes and 90-day modified Rankin Scale score were assessed across neuroimaging modalities using adjusted logistic regression analyses. RESULTS: Among 1105 patients enrolled in ESCAPE-NA1 between 2017 and 2019, 619 (56.0%) were assessed for progressor phenotypes using noncontrast CT, 1084 (98.1%) with mCTA, and 415 (37.6%) with CT perfusion. Median ASPECTS decay per hour was 1.05 (interquartile range, 0.05-1.85), 188/1084 (17%) patients had good collateral status on mCTA, and the median hypoperfusion intensity ratio was 0.44 (interquartile range, 0.28-0.59). Intermediate progressors showed worse functional outcomes compared with slow progressors only in CT perfusion strata: adjusted common odds ratio for modified Rankin Scale ordinal shift analysis of 1.69 (95% CI, 1.14-2.49). No significant association between progressor phenotypes and 90-day modified Rankin Scale was seen when the noncontrast CT and the mCTA approaches were used. CONCLUSIONS: Stroke progressor phenotypes based on CT perfusion criteria (using the hypoperfusion intensity ratio approach) were associated with clinical outcomes, while stroke progressor phenotypes based on noncontrast CT (ASPECTS decay) and mCTA (collateral status) criteria were not.
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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 | 0.004 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| 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".