Mechanical thrombectomy using the stent device in posterior circulation large Intracerebral artery occlusions
Bibliographic record
Abstract
Objective To evaluate the safety and effect of mechanical thrombectomy with the stent device in posterior circulation large intracerebral artery occlusions. Methods Arterial embolectomy with the stent device was carried out in 16 patients with posterior circulation large intracerebral artery occlusions(3.5 h than intravenous thrombolysis time window) in the NO.264th Hospital of People Liberation Army, including 8 cases with pure basilar artery occlusion, 7 cases with bilateral vertebral artery intracranial segment and basilar artery occlusion, 1 case with side of intracranial vertebral artery occlusion.The National Institutes of health neurological deficit score(NIHSS) score, Alberta stroke program early CT (ASPECTS) score, complications, clinical result were analyzed retrospectively. Results Among 16 cases, the time windows were from 7 to 18 h, the time from onset to reperfusion were (13.32±1.57) h. Successful recanalization was obtained in 15 patients(TICI=3), partial recanalization in 1 case(TICI=2a). Three cases with stent angioplasty.Survival in patients with NIHSS score decreased from (24.65±3.63) points on admission to (4.32±1.57) points after three weeks, with statistical difference(P<0.01). For mRs score at 90 d: 6 cases(37.5%) with 0-1, 4 cases(25%) with 2-3, 2 cases(12.5%) with 4-5, 4 cases died (25.0%, score ASPECTS 4-5). Conclusion The mechanical thrombectomy with the stent device within 24 h can get higher reperfusion rate, fewer complications, and significantly reduce the mortality rate and good clinical outcome in large intracerebral poster circulation artery occlusions patients. Key words: Intracerebral artery occlusions; Stent; Mechanical Thrombectomy; Posterior circulation; Stroke
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.000 |
| 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".