A Hibernoma of the Neck Complicated With an Abscess
Bibliographic record
Abstract
A hibernoma is a rare benign soft tissue tumor which may occur in the whole body. In the head and neck region, it occurs only sporadically and is difficult to distinguish clinically and on imaging from malignant tumors. It typically presents as a slow-growing, mobile, non-sensitive mass. Our case report describes an atypical presentation of a hibernoma with sudden onset of swelling in the left neck and dysphagia symptoms in a 16-year-old girl. One week later, a superinfection was noted with discharge of pus. A magnetic resonance imaging (MRI) showed a cystic solid mass, but no definitive diagnosis could be made. Therefore, surgical excision of the mass was performed which proved to be a hibernoma on anatomopathological examination. Whole-body MRI did not show similar lesions in other locations to the head and neck region. A hibernoma should be included in the differential diagnosis in patients presenting with a mass in the head and neck region. It is important to differentiate between benign and malignant tumors since the treatment differs. MRI is the imaging of choice and surgical excision is curative. To our knowledge, this is the first description of a hibernoma with an additional rare abscess formation, making the diagnosis even more difficult. Int J Clin Pediatr. 2022;11(3):92-97 doi: https://doi.org/10.14740/ijcp496
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".