Correlation between CT perfusion imaging of acute ischemic cerebral infarction and cognitive impairment
Bibliographic record
Abstract
Objective To study the correlation between CT perfusion imaging of acute cerebral infarction and vascular cognitive impairment(VCI).Methods Sixty-nine patients with acute ischemic cerebral infarction(onset within one week) underwent CT perfusion scanning.Their VCI was detected by Montreal cognitive assessment(MoCA) after 3 weeks.The patients were divided into VCI group with a MoCA score 26(n = 40) and control group with a MoCA score≥26(n = 29). The general data,cerebral blood volume(CBV) and cerebral blood flow(CBF)in the affected side were compared with those in the non-affected side.Results The dependent daily living ability and the ratio of cerebral infarction at the left side and temporal lobe were higher in VCI group than in control group.The CBV and CBF were lower in the affected side than in the non-affected side of both groups.The CBV and CBF in the lesion side were significantly lower in VCI group than in control group(P0.05).The MoCA score was negatively correlated with the local CBV and CBF (r=-0.3758,-0.4772,P0.01).Conclusion Decreased cerebral blood perfusion is correlated with VCI in patients with acute cerebral infarction.
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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 | 0.002 |
| 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".