Lingual thyroid in adults: management algorithm based on swallowing outcomes.
Bibliographic record
Abstract
OBJECTIVE: To review the presentation, workup, and functional outcomes of adult patients diagnosed with lingual thyroid treated by transoral subtotal excision. These results were then used to formulate a management algorithm. DESIGN: Retrospective chart review (2001-2008). SETTING: Tertiary care academic hospital. PATIENTS: All patients diagnosed with a lingual thyroid as an adult were identified in the University of Alberta's head and neck mass database. Charts were reviewed for initial presentation, diagnostic methods, radiographic findings, and treatment and follow-up results. INTERVENTION: Transoral subtotal excision of lingual thyroid tissue. MAIN OUTCOME MEASURE: Postoperative swallowing function as measured by pharyngeal residue and aspiration on videofluoroscopic swallowing studies. RESULTS: Five patients with lingual thyroids meeting the study criteria were identified. All were females aged 29 to 58 years (mean 44 years). Presentations ranged from asymptomatic to acute airway obstruction. Diagnosis was made with flexible nasopharyngoscopy, thyroid scintigraphy, and computed tomography. All patients underwent transoral subtotal excision of their thyroids with either a CO2 laser or electrocautery. Two patients complained of residual symptoms and received adjunctive 131I, which led to symptom resolution. Pathologic evaluation revealed benign thyroid tissue. Swallowing function remained efficacious and safe in all patients, as shown by a lack of aspiration and low pharyngeal residue scores. These results were used to propose a management algorithm for the spectrum of adult-diagnosed lingual thyroid presentations. CONCLUSIONS: Transoral subtotal excision of lingual thyroid glands provides adequate resection of the lesion with good postoperative swallowing function. When appropriate, this is advocated as the treatment modality of choice.
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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 | 0.001 |
| 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) | 0.001 | 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".