Flow-diverting stents for the treatment of unruptured distal anterior cerebral artery aneurysms: analysis of the CRETA Registry
Bibliographic record
Abstract
BACKGROUND: Data about the safety and the efficacy of flow diversion for distal anterior cerebral artery (DACA) aneurysms are limited. We present the largest multicenter analysis evaluating the outcomes of flow diversion in unruptured DACA aneurysm treatment. METHODS: Databases from 39 centers were retrospectively reviewed for unruptured DACA aneurysms treated with flow-diverting stents. Demographics, clinical presentation, radiographic characteristics, procedural complications, and outcomes were assessed. RESULTS: A total of 168 patients with 168 unruptured DACA aneurysms were treated between January 2018 and December 2022. One hundred and twenty-five were women (74.4%) and the median age was 61 (IQR 52-67) years. The most common morphology was saccular (91.7%), with branch involvement in 61.9% of cases. Median parent vessel diameter was 1.9 mm (IQR 1.7-2.2) and stents were successfully deployed in 99.4% of cases. In 96.4% a single stent was implanted, while 3.6% of cases required two stents. Median imaging follow-up was 16.5 (IQR 7-24) months. At last follow-up the rate of occlusion (O'Kelly-Marotta scale C or D) was 82.1%. Symptomatic thromboembolic or hemorrhagic complications occurred in 5.3% of patients and the mortality rate was 0.6%. The rate of retreatment was 1.2%. CONCLUSIONS: Flow-diverting stents are a reasonably safe and effective treatment option for unruptured DACA aneurysms.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.003 |
| Bibliometrics | 0.000 | 0.001 |
| 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".