Mechanical Thrombectomy During Coiling of Acutely Ruptured Cerebral Aneurysms
Bibliographic record
Abstract
Thromboembolic events are common complications encountered during the endovascular treatment of acutely ruptured cerebral aneurysms. Major arterial occlusion may lead to serious neurological consequences, including significant morbidity or even death. While intra-arterial injection of thrombolytic or fibrinolytic agents can be effective for distal thrombus lysis, major arterial occlusion is sometimes resistant to such treatments. This study is a retrospective case series based on our database covering the period from January 2014 to December 2023. Five patients with complete large arterial occlusions occurring during the endovascular treatment of acutely ruptured aneurysms were treated with stent retrievers or direct aspiration. Patients’ demographics, angiographic findings, and clinical outcomes are discussed. A review of the relevant literature in English was also conducted. All occluded arteries were fully recanalized, with no infarctions detected on 24-h follow-up computed tomography scans. One patient, with a grade V on the Hunt and Hess (H&H) scale, died as a result of the disease course. The remaining patients recovered to their pre-intervention neurological baseline. Mechanical thrombectomy during the treatment of acutely ruptured aneurysms allows for rapid recanalization of occluded arteries without the need for intra-arterial thrombolytic or fibrinolytic therapy, yielding favorable clinical outcomes. To the best of our knowledge, this is the first literature review focused on thrombectomy in the context of acutely ruptured aneurysms.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".