Cerebral blood volume index may be a predictor of independent outcome of thrombectomy in stroke patients with low ASPECTS
Why this work is in the frame
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Bibliographic record
Abstract
INTRODUCTION: To evaluate the predictors for efficacy and safety of patients with acute ischemic stroke (AIS) and Alberta Stroke Program Early Computed Tomographic Score (ASPECTS) ＜6 undergoing endovascular therapy (EVT). METHODS: This study retrospectively analyzed consecutive patients presented between December 2020 and December 2021 with large vessel occlusions (LVO) within the anterior circulation and an ASPECTS ＜6, followed by EVT. The efficacy outcome was 90-day functional independence, defined as modified Rankin Scale (mRS) score 0-3. The primary safety outcome was symptomatic intracranial hemorrhage (sICH). Secondary safety outcomes included 90-day all-cause mortality and 24-hour any ICH. RESULTS: A total of 22 patients were included. The percentage of patients with mRS 0-3 at 90 days was 36.4% (8/22). The occurrence of sICH was 22.7% (5/22). The occurrence of any ICH was 45.5% (10/22). The 90-day all-cause mortality was 36.4% (8/22). Median (interquartile range, IQR) cerebral blood volume (CBV) index was 0.5 (0.4-0.7). CBV index in mRS 0-3 group (n = 8) was higher than mRS 4-5 group (n = 14) (P＜0.05). There was no significant difference of age, gender, comorbidities, baseline National Institutes of Health Stroke Scale (NIHSS) score, mismatch ratio, CBV index, interval between stroke onset and re-perfusion, good re-perfusion rate between sICH group (n = 5) and non-sICH group (n = 17). CONCLUSIONS: AIS patients with low ASPECTS can still benefit from EVT and gain good functional outcome, especial those had higher CBV index on pre-EVT computed tomography perfusion (CTP). Further studies with larger sample size are needed to validate our findings.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 it