Some features of morphometric characteristics of the brain in patients with lacunar stroke
Bibliographic record
Abstract
Objective. To determine the structural-morphometric peculiarities of the brain in patients with lacunar ischemic stroke and their influence on cognitive functions. Material and methods. A morphometric analysis of brain CT was performed in 48 patients in the acute period of lacunar stroke. The width of subarachnoid spaces at the pole of the frontal lobes and the lateral sulcus was measured in axial sections, the ventricular system was assessed be several parameters. To adjust for the total head size, the data were evaluated as ratios. Mean populations values adjusted for age were used as normal values. Cognitive functions were measured with the MoCA scale. Results. It was determined that 71% of the patients had lacunar stroke as a result of the atrophic process in the brain. Atrophic process of the brain was often diagnosed in the age group of 61-70 years, multiple lacunar lesions were diagnosed in the group of 51-60 years. Cognitive functions were impaired in 91% of the patients in the acute period of lacunar stroke. Conclusion. Correlations between the level of cognitive functions and morphometric markers of subcortical atrophy demonstrate the leading role of the subcortical atrophy in the development and progression of cognitive deficit.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 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) | 0.001 | 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".