Evaluation of the efficiency of endarterectomy from the external carotid artery in patients with internal carotid artery occlusion
Bibliographic record
Abstract
Objective. To assess the effect of external carotid artery (ECA) endarterectomy on regional cerebral blood flow, cognitive function, and quality of life in patients with ICA occlusion.Materials and Methods. From 2019 to 2020 year, 14 operations were performed on patients with ICA occlusion and hemodynamically significant ECA lesion. 14 patients, 12 men (85.7 %) and 2 women (14.3 %) underwent resection of the ICA, endarterectomy of the common carotid artery (CCA), and ECA. All patients had a history of stroke of 7±5.7 months. Neurological deficit according to the Rankin scale was 2 points in 11 patients (78.6 %) and 3 points in 3 patients (21.4 %). The mean age was 62.8±11.6 years. The preoperative period included ultrasound duplex scanning and computed tomography with the contrast of the brachiocephalic arteries. Single-photon emission computed tomography was used to assess cerebral blood flow before and after surgery. Cognitive status and quality of life were assessed by questionnaire survey.Results. In the early postoperative period, there were no registered strokes. A decrease in hypoperfusion foci and an increase of cerebral blood flow by an average of 10,33 ± 6,70 ml/min/100 g were observed in 13 patients (92,8 %). The Montreal Cognitive Deficit Scale score was 3,92±3,6. Improvement of quality of life according to the Short Form-36 questionnaire was 9.27±14.75.Conclusion. Endarterectomy of the external carotid artery at the internal carotid artery occlusion leads to a significant increase of regional cerebral blood flow in symptomatic patients, which in turn correlates with the regression of neurological deficit and improvement of quality of life. Continued work in this area will be a detailed analysis of the results of the treatment of patients with occlusion of the internal carotid artery for the period from 2018 to 2022 year.
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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 | 0.001 | 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) | 0.001 | 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".