Role of DWI-ASPECTS in assessing prognosis of patients with acute cerebral infarction after intravenous thrombolysis
Bibliographic record
Abstract
Objective To evaluate the role of Alberta stroke program early CT scale(ASPECTS)on diffusion weighted imaging(DWI)in predicting functional outcomes of patients with acute anterior circulation cerebral infarction after intravenous thrombolysis. Methods Forty-eight patients with acute anterior circulation cerebral infarction after intravenous thrombolysis, admitted to our hospital from March 2012 to July 2014, were chosen. According to modified Rankin scale(mRS)scores, the favorable(F)and unfavorable(U)outcome groups were defined. The clinical data, scores of DWI-ASPECTS after thrombolysis and Logistic variables were analyzed. A multivariate Logistic regression analysis was used to identify variable influencing clinical outcomes. Results After 30 and 90 days treatment, as compared with patients in U group, patients in F group had significantly lower national institutes of health stroke scale(NIHSS)scores, and significantly higher DWI-ASPECTS scores(P<0.05). Logistic regression analysis showed that NIHSS scores(OR=1.359, 95% CI= 1.132-1.633, P=0.001; OR=1.381, 95% CI: 1.130-1.688, P=0.002)and DWI-ASPECTS scores(OR= 0.583, 95% CI=0.432-0.789, P=0.000; OR=0.545, 95% CI=0.387-0.767, P=0.001)were both the independent predictors 30 and 90 days after thrombolysis. Receiver operating characteristic analysis showed that the optimal cutoff point of DWI-ASPECTS to predict the functional outcome was set as 7, the areas, enjoying the biggest, were 0.874(P<0.05, sensitivity 70.4% and specificity 85.7%)and 0.902(P<0.05, sensitivity 77.8% and specificity 91.7%), respectively, 30 and 90 days after thrombolysis. Conclusion DWI-ASPECTS is of great value in assessing functional outcome after thrombolysis in acute anterior circulation cerebral infarction; its evaluation value is better in those 90 days after thrombolysis than in those 30 days after thrombolysis. Key words: Cerebral infarction; Alberta stroke program early CT scale; Intravenous thrombolysis; Prognosis
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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".