Abstract Number ‐ 6: Basilar Artery Occlusion Thrombectomy Technique: An International Survey of Practice Patterns
Bibliographic record
Abstract
Introduction Two recent trials demonstrated a benefit for endovascular thrombectomy (EVT) in the treatment of basilar artery occlusion (BAO). Considering the expected increase in the utilization of EVT for BAO, we sought to understand the technique preferences of neurointerventionalists currently performing EVT for BAO. Methods We conducted an international online survey of physician opinions on the use of EVT in BAO between January to March 2022. The survey was distributed through stroke and neurointerventional organizations. Survey questions examined selection of patients for the procedure and the techniques currently used for EVT in BAO. Results More than 3,000 participants were invited yielding 1,245 respondents, of which 543 were classified as neurointerventionalists across 52 countries and included in this analysis. Most neurointerventionalists would proceed to EVT for occlusions of the V4 segment, the basilar artery, or the PCA, without regard for prior IVT. For BAO of embolic etiology, aspiration only thrombectomy was the preferred method with 50.3% of neurointerventionalists. For BAO of intracranial atherosclerotic disease (ICAD) etiology, combined stent retriever and aspiration thrombectomy was the preferred method with 40.5% of neurointerventionalists (Figure 1). The majority of neurointerventionalists (88.0%) would proceed to stenting after three or fewer failed passes for patients with BAO of ICAD etiology. In patients undergoing stenting, aspirin and clopidogrel was the most common antiplatelet regime (52.4%). Conclusions Amongst the surveyed neurointerventionalists, the most common techniques for EVT of patients with BAO were contact aspiration or combined stent retriever with aspiration thrombectomy. For patients with BAO due to ICAD, the majority of neurointerventionalists were willing to stent and do so most often after three or fewer failed passes and with the use of dual antiplatelet medications. Further study is needed to determine the optimal technique for EVT of BAO with or without ICAD.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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".