Paradoxically Decreased Mean Transit Time in Patients Presenting With Acute Stroke
Bibliographic record
Abstract
OBJECTIVE: Computed tomography perfusion (CTP) has become a mainstay in acute stroke management. The aim of this study was to investigate the occurrence of an unreported phenomenon of a paradoxically decreased mean transit time (MTT) in the cerebral area of ischemia. METHODS: In this retrospective study, patients with an acute anterior circulation ischemic stroke were selected. Computed tomography perfusion diffusion maps of all patients were reviewed by 2 blinded and experienced neuroradiologists. RESULTS: A total of 31 patients were included in the study. Eighteen subjects (58%) had a paradoxical MTT perfusion map, whereas only 13 (42%) had an expected CTP profile. No significant associations between the paradoxical MTT perfusion and the size of the infarct, the side of the occlusion, or the age of the patients were observed. However, a trend in collateral circulation status and paradoxical MTT was noted. CONCLUSIONS: A paradoxical MTT response is a frequent finding in CTP analysis of patients with acute stroke. Its presence is not associated to the location or size of the affected cerebral territory and could be related to the presence of collateral circulation.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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) | 0.002 | 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".