The Therapeutic Effect of the Combination of Intratumor Injection of Bleomycin and Electroresection/Electrocautery on the Hemangiomas in Hypopharynx and Larynx Through Suspension Laryngoscopy
Bibliographic record
Abstract
OBJECTIVES: The treatment of hemangiomas in the hypopharynx and larynx can be challenging and stressful because of the high tumor recurrence rate. The objective of this study was to investigate the therapeutic effect of the combination of intratumor injection of bleomycin and electroresection/electrocautery on the hemangiomas in the hypopharynx and larynx through suspension laryngoscopy. METHODS: With patients under general anesthesia, the hemangiomas were fully exposed through suspension laryngoscopy. After intratumor injection of bleomycin, in some patients, the hemangiomas were completely resected along the bottom of the tumor pedicle by polypus-forceps electroscalpel; for other patients, the hemangiomas were pinched and held, and then the whole-tumor tissues were cauterized and coagulated by the electroscalpel. Prior to commencing the study, all participants signed informed consents, and all procedures were approved by the hospital ethical committee. RESULTS: There was almost no bleeding during the operations, no postoperative dyspnea, and no hemorrhage. The patients were followed up for 3 years; the 3-year cure rate was 97%. CONCLUSION: The hemangioma in the hypopharynx and larynx can be cured by a single-session treatment, using the combination of intratumor injection of bleomycin and electroresection/electrocautery through suspension laryngoscopy. Our method is reliable, affordable, and effective, and it could be widely applied in other hospitals.
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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".