Diagnostic value of CT perfusion source images in superacute stroke
Bibliographic record
Abstract
Objective To investigate the diagnostic value of CTP-SI in acute stroke less than 9 hours.Methods In present study.one-stop shopCT examination were performed in 34 patients with symptoms of acute stroke in le88 than 9 hours.We divided patients into two groups according to with and without delayed perfusion on CTP-SI.and compared ASPECTS (Alberta Stroke Program Early CT Score Study)scores on non-contrast CT(NCCT),arterial phase CTP-SI,venous phase CTP-SI with follow-up imaging.The ASPECTS were analyzed on arterial phase CTP-SI and veIlous phase CTP-SI using Wilcoxon rank-sum test.then compared with the follow up imaging ASPECTS using multiple linear regression.Results The median(min-max)scores of ASPECTS on NCCT,arterial phase CTP-SI,venous phase CTP-SI and follow-up imaging were 9.0(6.0-10.0),6.5(1.0-8.0),8.0(3.0-10.0)and 7.0(0-10.0)in group with delayed perfusion,respectively,and 9.0(1.0-10.0),8.5(1.0-10.0),8.5(1.0-10.0)and 8.0 (0～10.0)in group without delayed perfusion respectively.ASPECTs scores measured on arterial phase CTP-SI did not differ from venous phase CTP-SI in group without delayed perfusion ( Z = - 1.00, P =0.317), while there was significant difference in group with delayed perfusion (Z = -3.08, P = 0.002 ).There were significant correlation with ASPECTS scores measured on NCCT, arterial phase CTP-SI and venous phase CTP-SI to follow-up imaging ASPECTS (r =0.899,0.926,0.928,P ＜0.01 ) in group without delayed perfusion; ASPECTS measured in venous phase CTP-SI showed the best correlation to follow-up imaging ASPECTS (r = 0.762, P = 0.004) in group with delayed perfusion.Multiple linear regression showed that the correlation in only venous phase CTP-SI with foUow-up imaging ASPECTS was statistically significant:in group without delayed perfusion, Beta = 0.966, P ＜ 0.001 ; in group with delayed perfusion,Beta = 0.765, P = 0.004. Conclusion Presence of delayed porfusion in CTP-SI is quite important in identifying ischemic penumbra, which plays a critical role in imaging-guided thrombolytie therapy. Key words: Cerebrovascular accident; Tomography,X-ray computed; Perfusion
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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 | 0.000 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.002 | 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".