Super large-bore ingestion of clot (SLIC) leads to high first pass effect in thrombectomy for large vessel occlusion
Bibliographic record
Abstract
BACKGROUND: Super large-bore aspiration (SLBA) has shown high rates of complete clot ingestion. OBJECTIVE: To report the initial clinical feasibility, safety, and efficacy of this novel SLBA insert combination-super large-bore ingestion of clot (SLIC) technique for stroke. METHODS: We performed a retrospective review of three comprehensive stroke center databases. The SLIC technique entails a triaxial assembly of an 8 Fr 0.106″ Base Camp catheter, 0.088″ catheter extender (HiPoint), and an insert catheter (Tenzing 8) that completely consumes the inner diameter of the 0.088″ SLBA catheter. The HiPoint catheter is delivered over the Tenzing 8 to the face of the embolus, which is withdrawn, while aspirating through the Base Camp and HiPoint catheters as a single assembly. RESULTS: Thirty-three consecutive patients with large vessel occlusion were treated with SLIC. The median age was 70 years (30-91) and 17 were male (51.5%). The median presenting National Institutes of Health Stroke Scale score and Alberta Stroke Program Early CT score was 21 (1-34) and 8 (5-10), respectively. There was 100% success in delivering the 0.088″ catheter to the site of the occlusion. The successful revascularization rate (modified Thrombolysis in Cerebral Infarction (mTICI) score ≥2B) was 100% within a single pass in most cases (82%). Final mTICI ≥2C was achieved in 94.1% of occlusions, with 73.5% mTICI 3 recanalization. The rate of first pass effect in achieving excellent reperfusion (mTICI ≥2C) was 70.5%. There were no adverse events or postprocedural symptomatic hemorrhages. CONCLUSIONS: Our initial experience with the SLIC technique resulted in achieving a first pass effect (mTICI ≥2C) in 70.5%. Navigation of the SLBA catheter extender over the Tenzing insert was successful and safe in this early experience.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| 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) | 0.000 | 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".