Deroofing Surgical Treatment for Pseudocyst of the Auricle
Bibliographic record
Abstract
OBJECTIVES: Pseudocyst of the auricle is characterized by asymptomatic swelling caused by an intracartilaginous accumulation of fluid. If left untreated, permanent deformity of the pinna may occur. Many modalities of treatment have been reported, but problems regarding recurrence and appearance remain. The purpose of this study was to introduce more reliable treatment for pseudocyst of the auricle. DESIGN: Retrospective chart review. SETTING: Department of Otolaryngology, Kaohsiung Medical University, Kaohsiung, Taiwan. METHODS: The population used for the present report consisted of 10 patients with auricular pseudocyst that was unresponsive to aspiration followed by intralesional steroid injection or who declined conservative treatment. All patients were treated surgically with the deroofing method under local anaesthesia. MAIN OUTCOME MEASURES: Postoperative clinical outcome and recurrence of the lesion. RESULTS: All patients had excellent cosmetic outcomes, and no recurrence or complication occurred. CONCLUSIONS: Deroofing surgery for pseudocyst of the auricle is a safe, easy, and reliable procedure. If conservative measures fail or are declined by the patient, removal of the anterior cartilaginous leaflet of the lesion is an alternative method that can yield excellent results.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| 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".