Abstract Number ‐ 3: Large and Giant Aneurysms Outcome in the Multicenter Prospective Core Lab Adjudicated SMART Coils Registry
Bibliographic record
Abstract
Introduction Endovascular coiling for intracerebral aneurysms has been evolving. Yet, large, and giant aneurysms (LAGA) remain a significant challenge for treatment and carry a high rate of morbidity and mortality. Previous studies have demonstrated 72–76% long‐term adequate occlusion and up to 34% retreatment rate in patients undergoing reconstructive treatment for LAGA. Methods The SMART registry, a prospective, multicenter outcome trial was used to identify patients with LAGA (Sac 10–24mm for large and ≥ 25mm for giant aneurysms) treated with the Penumbra SMART COIL® (SMART) system in the US and Canada. Patients’ characteristics and outcomes were then compared to patients with smaller aneurysms (SA) (Sac≤10mm). Primary effectiveness endpoint was aneurysm occlusion using Raymond‐Roy (RR) scale and safety endpoints included mortality and stroke outcomes. Fisher exact test and T‐test were used to compare categorical and continuous variables, respectively. P‐value < 0.05 was considered significant. Results A total of 131/903 (14.5%) patients had LAGA and 42 (32.1%) of those were ruptured. Patients with LAGA were older than SA (mean age: 61.9 vs 59.4, p = 0.04). Large aneurysms were mainly saccular in 75.6% of the cases (vs 87.7% of the ≤ 10 mm ones, p < 0.001). Fusiform LAGA were 8.4% (vs 1.4% of the ≤ 10 mm ones, p < 0.001). Furthermore, they are more likely to have wide neck (69.5% vs 59.7%, p = 0.042). They are less likely to have A‐Com aneurysm (10.7% vs 28%, p < 0.001), and more likely to have basilar tip aneurysms (3.1% vs 0.8%, p = 0.044) and cavernous aneurysms (4.6% vs 0.6%, p = 0.002) compared to patients with SA. Primary coiling was the main treatment modality for both SA and LAGA (43.3% vs 43.5%, respectively, p = 1.0). However, LAGA were more likely to be treated with flow diversion in addition to coiling (6.1% vs 1.0%, p < 0.001). Packing density was significantly lower in LAGA (mean (SD) = 21.2(13.1) vs 34.1(18.3), p < 0.001). Surprisingly, long‐term aneurysm RR occlusion Class I‐II on follow‐up imaging was 82.5% in LAGA vs 91.2% in SA, p = 0.016. Retreatment rates was 11.7% in LAGA vs 6.4% in SA, p = 0.063. mRS0‐2 score was 73.6% in LAGA vs 86.4% in SA, p = 0.007. All‐cause 1‐year mortality was 9.2% in LAGA vs 4.7% in SA, p = 0.054. Conclusions Despite challenges with treating Large and giant aneurysms, SMART coiling registry demonstrated high adequate aneurysm occlusion rate on follow‐up imaging, as well as a good independent functional outcome.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".