Ultrasound-guided cyanoacrylate injection for the treatment of incompetent perforator veins
Bibliographic record
Abstract
OBJECTIVE: The use of cyanoacrylate products (CA) in incompetent perforator vein (IPV) treatment has not been thoroughly examined. The primary objective of this study is to describe the technique of ultra sound guided direct injection of IPV with CA, and secondarily to determine early closure rates and safety of this technique. METHODS: A retrospective analysis of patients undergoing IPV injection at two centres between 2015-2018 was conducted. Demographics, CEAP classification and IPV location were collected. Outcomes were assessed at two follow-up appointments. RESULTS: A total of 83 perforator vein injections were completed. CEAP classifications include C2 - C6 classes. Location of perforators were posteromedial (6%), femoral canal (9%), paratibial (14%), and posterior-tibial (71%). IPV closure rates were 96.3% at initial follow-up (16 ± 2 days). Closure rates decreased to 86.5% at second follow-up (72 ± 9 days). There were no deep vein thromboses during follow-up. One patient developed septic thrombophlebitis that was successfully managed with antibiotics. CONCLUSION: Ultrasound-guided CA glue injection is a simple and low risk procedure that effectively closes incompetent perforator veins.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.001 | 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".