Pleomorphic adenoma of the head and neck in children: presentation and management
Bibliographic record
Abstract
OBJECTIVE: Pleomorphic adenoma is the most common benign salivary gland neoplasm in children. Recurrence and malignant transformation are concerns necessitating proper treatment. The goal of this research was to discuss the presentation, evaluation, and management of pediatric pleomorphic adenoma of the head and neck. METHODS: Retrospective chart review of patients under 20 years of age treated for pleomorphic adenoma of the head and neck between 1998 and 2017. Data assessed included demographics, clinical presentation, imaging, treatment, complications, recurrence, and follow-up. RESULTS: Forty-one patients with pleomorphic adenoma were identified. Major salivary gland lesions were most common (n = 32, 78.0%); 78.1% (25 of 32) arising in the parotid and 21.9% (7 of 32) in the submandibular glands. Minor salivary gland lesions were removed from the palate (5 of 9, 55.6%), buccal mucosa (2 of 9, 22.2%), parapharyngeal space (1 of 9, 11.1%), and upper lip (1 of 9, 11.1%). Preoperative imaging was reviewed in 32 patients and consisted of nine ultrasound exams, 15 computerized tomography (CT) exams, and 23 magnetic resonance imaging (MRI) exams. Multimodality imaging was performed in 14 of 32 patients. Surgical excision was performed in all patients. Postoperative complications included transient facial paresis (n = 9), Frey syndrome (n = 1), and bacterial pharyngitis (n = 1). Average length of follow-up was 25.5 months; confirmed recurrence occurred in two patients (4.9%). CONCLUSION: Evaluation of pleomorphic adenoma in children should include preoperative imaging. The goal of surgery should be complete surgical excision with negative margins. Rate of recurrence is low; however, prolonged monitoring is recommended. LEVEL OF EVIDENCE: 4. Laryngoscope, 129:2603-2609, 2019.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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) | 0.000 | 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 teacher head, 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".