Endothelial Denudation Combined With Embolization in the Prevention of Endoleaks After Endovascular Aneurysm Repair: <b>An Animal Study</b>
Bibliographic record
Abstract
PURPOSE: To test whether combining embolization with endothelial denudation could reduce endoleak persistence and recurrence after endovascular aneurysm repair (EVAR) in an animal model. METHODS: Type I endoleaks with collateral outflow were created in bilateral iliac aneurysms in 12 dogs. In 6 animals (group 1), endoleaks were treated by thrombin injection, with or without mechanical denudation of the endothelium. In the other 6 animals (group 2), simultaneous occlusion and endothelial denudation was induced in one side by treatment with a gel containing ethanol, ethylcellulose, and lipiodol, whereas the other side was treated with saline control. Follow-up ultrasonography and angiography were performed before necropsy and histology at 3 months. RESULTS: Denudation combined with thrombin injection led to higher aneurysm shrinkage than thrombin alone, as shown by the mean relative aneurysm diameter (89% vs. 124% at baseline, p<0.01) and length (61% vs. 82% at baseline, p<0.01). Denudation did not significantly reduce endoleak occurrence (4/6 vs. 6/6); however, endoleaks in denuded aneurysms were significantly smaller and located in areas inaccessible to denudation. Six of the 10 endoleaks seen at 3 months occurred despite complete initial occlusion (recurrent endoleaks). In the gel-treated group, embolized aneurysms did not shrink significantly, and stent-graft thrombosis developed in 3/6 embolized aneurysms; however, the 3 other aneurysms showed no endoleaks, while all 6 saline-treated controls exhibited persistent endoleaks. CONCLUSION: This study demonstrates the role of recanalization in endoleak recurrence and indicates that combining embolization and endothelial denudation could be a promising strategy to prevent endoleak persistence or recurrence after EVAR. However, the sclerosing gel tested in this study is not appropriate since it is prone to migration with resultant stent-graft thrombosis.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 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".