Surgical Construction of an in Vivo Carotid Siphon Model to Test Neurovascular Devices
Bibliographic record
Abstract
OBJECTIVE: We developed an animal model to evaluate vascular trauma induced by endovascular devices that are proposed for the treatment of cerebrovascular diseases. METHODS: The model was constructed in six domestic swine by elongating the common carotid artery using interpositional grafts. Balloon catheters (n = 3), stents (n = 2), and a snare were tested 9 to 13 days after surgery. Device performance was evaluated by angiography, macroscopic photography, and histopathological examination. RESULTS: Animals tolerated the surgical procedure well, and artificial siphons were thought to provide realistic conditions for device testing. Balloon catheters induced minimal trauma, whereas coronary stents caused severe spasm or thrombosis and extensive macroscopic changes. CONCLUSION: Construction of an in vivo siphon model is feasible and potentially useful for testing neurovascular devices.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".