Embolization and Endothelial Ablation With Chitosan and Sodium Sotradecol Sulfate: Preliminary Results in an Animal Model
Bibliographic record
Abstract
PURPOSE: To investigate whether embolization with chitosan hydrogel (CH) with or without a sclerosant (sodium tetradecyl sulphate, STS) can induce chemical endothelial ablation and prevent endothelial recanalization in a rabbit model. METHODS: Chitosan radiopaque thermogels were prepared using chitosan, β-glycerophosphate, iopamidol, and different STS concentrations. Each auricular artery of 14 New Zealand White rabbits was cannulated and injected with 0.6 mL of chitosan (CH0; n = 14) on one side and either saline (n = 3), chitosan and 1% STS (CH1; n = 6), or chitosan and 3% STS (CH3; n = 6) in the contralateral side. Immediately after embolization and at 1, 7, 14, and 30 days, auricular artery patency and percentage of recanalization were assessed by visual inspection; microcirculation was evaluated using laser Doppler imaging (LDI). The rabbits were sacrificed at 30 days to assess endothelial ablation and inflammatory response by histological analyses. RESULTS: All arteries were catheterized and embolized with success. All saline-injected arteries rapidly recovered normal flow. The length of embolization was greater with CH3 than CH1 or CH0, regardless of the time observed (p<0.001). No difference in recanalization length was found among the gels (p = 0.07). Destruction of arterial wall was frequently observed independent of embolizing agent. Foreign body reaction was more frequent with CH3 as compared with CH1 and CH0 (p = 0.0070 and 0.0058, respectively). After 30 days, hypervascularization was observed on LDI only with CH0; it was attributed to intra- or perivascular neovessels and inflammatory response on pathological analysis. The vascular modifications appeared to be more homogenous across the length of embolization with CH3 than the other formulations. CONCLUSION: The viscosity obtained with chitosan and 3% STS permits better control during injection and longer vascular occlusion. These findings, combined with the intravascular neovascularization observed with CH0, led us to prefer the combination with STS.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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".