Simultaneous mechanical thrombectomy for bilateral acute internal carotid artery occlusion
Bibliographic record
Abstract
Acute bilateral internal carotid occlusion was a very rare disease with a very poor prognosis. Clinical case reports according to the literature showed that mechanical thrombectomy was the most optimal treatment. We reported a clinical case of successful treatment with simultaneous thrombectomy in both occluded carotid arteries. A 62-year-old woman was admitted at our hospital within three hours of stroke onset secondary to an acute simultaneously bilateral carotid artery occlusion. On admission, her NIHSS (National Institutes of Health Stroke Scale) was 32. Non-contrast computed tomography right after that showed hyperacute infarction lesions in both hemispheres with right inferior temporal and insular cortex (Alberta Stroke Program Early CT Score - ASPECTS 8) and left putamen (ASPECTS 9). Her medical history included paroxysmal atrial fibrillation, prior ischemic stroke, pacemaker due to sick sinus syndrome. Her pre-stroke modified Rankin Scale score was 0 that she was fully recovered from previous stroke 4 months ago thanks to successful thrombectomy of the right internal carotid arteries (ICA). This time, the patient underwent again the simultaneous bilateral mechanical thrombectomy of both occluded ICA. The complete recanalization achieved on both sides with recanalization level of TICI-3 (thrombolysis in cerebral infarction) only in 38 mins after the groin puncture. She showed dramatic recovery and was discharged on day 28 with a Rankin Scale score of 2. Mechanical thrombectomy on bilateral ICA performed simultaneously will helps shorten the reperfusion time compared to the alternative one and thus, provides a better prognosis in acute ischemic stroke.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".