Abstract 2933: Combined Clinical, CT, And CTA-SI Scale To Expect The Presence Of Large Infarct Volume On DWI In Acute Stroke Patients Within 8h Of Onset.
Bibliographic record
Abstract
Background and Purpose: Large ischemic volume (>70-80ml) on diffusion-weighted imaging (DWI) has been associated with a lack of response to early recanalization therapy of acute ischemic stroke. We investigated whether a scale that combines clinical, conventional computed tomography (CT) and CT angiography source imaging (CTA-SI) information can estimate large infarct of >80ml seen on early DWI. Methods: Acute anterior circulation stroke patients within 8h of onset and examined with CT and CTA were prospectively enrolled. Only imaging findings evaluated within 1.5h interval among CT, CTA and DWI were analyzed. NIH Stroke Scale (NIHSS) score was assessed on admission. The Alberta Stroke Programme Early CT Score (ASPECTS) was scored on CT and CTA-SI. To devise the early infarct volume estimation scale, NIHSS score, CT and CTA-SI ASPECTSs were scored as 1, if the NIHSS score was greater than or equal to, and, CT and CTA-SI ASPECTS was smaller than or equal to the cut-off value to distinguish the DWI volume of >80ml from others. Collateralization was also defined as score of 1 if collateral filling was limited <50% on CTA-SI. We compared the DWI volume based on the scale, score of 0, 1, 2, 3 and 4. After that, we calculated the sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) of the score to estimate the DWI volume of >80ml were calculated. Result: Fifty-seven subjects (median age [quartiles]; 74 [56-82], male; 28 [49%]) were enrolled from May 2010 to July 2011. DWI volume of >80ml was seen in 10 (18%) patients. Using ROC curve, the cut-off value of NIHSS score to predict DWI of >80ml was 20 (sensitivity of 0.70 and specificity of 0.70, area under curve [AUC] 0.761, p=0.010), that of CT ASPECTS was 6 (sensitivity of 0.98 and specificity of 0.68, AUC 0.887, p<0.001), that of CTA-SI ASPECTS was 6 (sensitivity of 0.87 and specificity of 0.80, AUC 0.952, p<0.001), respectively. Based on the scale, DWI volume was 14 (8-23) ml in patients with score of 0, 22 (11-36) ml with of 1, 67 (36-88) ml with of 2, 127 (71-147) ml with of 3, and 177 (131-191) ml with of 4 (p<0.001). All of those with score of 0 or 1 had DWI volume of ≤80ml (sensitivity of 1.00, specificity of 0.87 PPV of 1.00, and NPV of 0.62 (p<0.001). Seven (54%) of the 13 patients with score of 2 or 3 had DWI volume of >80ml (sensitivity of 0.70, specificity of 0.87, PPV of 0.54, and NPV of 0.93, p<0.001), and all of the 3 patients with score of 4 had DWI volume of >80ml (sensitivity of 0.30, specificity of 1.00, PPV of 1.00, and NPV of 0.87, p=0.004). Conclusion: Clinical and CT based radiological examinations may estimate the large ischemic volume on early DWI.
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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 | 0.001 | 0.003 |
| 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 | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".