Correlation between brain magnetic resonance imaging and blood inflammatory markers for patients with vascular cognitive impairment
Bibliographic record
Abstract
Objective: The aim was to research the correlation between brain magnetic resonance imaging and blood inflammatory markers for patients with varying degrees of vascular cognitive impairment. Methods: Total 90 subjects were divided into vascular cognitive impairment with no dementia, vascular dementia and control group. The Chinese version of the Montreal Cognitive Assessment, Clinical Dementia Rating, activities of daily living scale and Hachinski Ischemic Scale were used for tests; the magnetic resonance imaging consisted of routine scanning sequences, susceptibility weighted imaging and diffusion tensor imaging; cardiopulmonary resuscitation, interleukin-6 and tumor necrosis factor-α were detected by enzyme-linked immunosorbent assay. Results: Microbleeds mainly appeared under the cortex of frontal lobe and temporal lobe and in the basal ganglia, centrum semiovale, corona radiate and thalamus; the number of the microbleeding parts were larger than those of the vascular cognitive impairment with no dementia. The fractional anisotropy values in the parts under the cortex of frontal lobe and temporal lobe and in the basal ganglia, centrum semiovale, corona radiate and thalamus were lower than those of the vascular cognitive impairment with no dementia and the apparent diffusion coefficient values increased. Cardiopulmonary resuscitation, interleukin-6 and tumor necrosis factor-αlevel of the vascular dementia were higher than those of the vascular cognitive impairment with no dementia. Conclusion: It was valuable for early diagnosis of vascular cognitive impairment and assessment of its severity to detect microbleeds by the susceptibility weighted imaging on magnetic resonance, examine Leukoaraiosis by the diffusion tensor imaging and the levels of serum inflammatory markers.
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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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".