Long term safety and effectiveness of LVIS Jr for treatment of intracranial aneurysms- a Canadian Multicenter registry
Bibliographic record
Abstract
Background The Low-profile Visible Intraluminal Support device (LVIS Jr) has become a commonly used intracranial stent for the treatment of intracranial aneurysms. However long-term stability and effectiveness remains to be seen. The purpose of the study was to assess the long-term efficacy, safety and durability of LVIS Jr. in a retrospective multicenter registry. Methods Patients with saccular aneurysms treated at centers across Canada using LVIS Jr for intracranial aneurysms were included in this retrospective registry between the dates of January 2013 and April 2019. Self reported outcomes were collected and used to assess both perioperative and long term safety and effectiveness. Both univariate and multivariate analysis were performed. Results Total of 196 patients (132 Women; mean age of 57.6 years) underwent endovascular aneurysm treatment with at least 1 LVIS Jr. stent. Mean aneurysm dome size was 7.4 mm, and mean neck size of 4.3 mm. Mean clinical and imaging follow up were 950 and 899 days respectively. Class I/II was achieved in 85% on long term follow up. Periprocedural morbidity and mortality was 4.6% and 2% and additional delayed morbidity and mortality was 3% and 2.5%. Aneurysm size >10 mm was independent predictor of periprocedural complication (OR 2.59, p = 0.048) while an increased dome to neck ratio >1.5 was independent predictor of increased delayed complications (OR 3.99, p = 0.02). Conclusion The LVIS Jr. intracranial stent is an effective device in the treatment of intracranial aneurysms. Satisfactory long term occlusion rates can be achieved safely with stent-assisted coil embolization.
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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 | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 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".