Percutaneous radiofrequency ablation therapy using a clustered electrode in the animal liver.
Bibliographic record
Abstract
BACKGROUND/AIMS: The aim of the present study was to examine the safety and effectiveness of percutaneous radiofrequency ablation therapy using a needle with cluster radiofrequency electrodes in an animal model. METHODOLOGY: A total of 10 radiofrequency applications were performed in the normal liver of 5 domestic pigs with real-time ultrasonography until roll-off occurred two times. Aspartate aminotransferase, alanine aminotransferase, lactic dehydrogenase, and total bilirubin were evaluated before the procedure and 1 h, 24 h, and 7 days following percutaneous radiofrequency ablation therapy. The animals were euthanized 1 or 2 weeks after percutaneous radiofrequency ablation therapy, and the livers were removed for gross and histopathologic analysis for coagulation necrosis. RESULTS: There were no complications in any of the experimental animals. Aspartate aminotransferase, alanine aminotransferase, and lactic dehydrogenase levels peaked 24 h following percutaneous radiofrequency ablation therapy, and decreased with time thereafter. Total bilirubin was not elevated in any of the animals at any time. Macroscopic examination revealed that the area of coagulated necrosis was 28 x 21 mm when using a 2.0-cm needle, and 41 x 35 mm when using a 3.5-cm needle. Coagulation necrosis did not occur near large vessels. Microscopic examination of the fixed tissue revealed that coagulation necrosis occurred in preserving lobular structure. CONCLUSIONS: Percutaneous radiofrequency ablation therapy using a clustered electrode is a safe and effective treatment for liver tumor. Incomplete coagulation necrosis, however, can occur when percutaneous radiofrequency ablation therapy is performed for tumors located near large vessels.
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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 | 0.000 | 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 | 0.000 |
| 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".