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Record W4307856118 · doi:10.14740/ijcp496

A Hibernoma of the Neck Complicated With an Abscess

2022· article· en· W4307856118 on OpenAlexvenueno aff
Gill Verstappen, Yannick De Brucker, Olaf Michel

Bibliographic record

VenueInternational Journal of Clinical Pediatrics · 2022
Typearticle
Languageen
FieldMedicine
TopicSalivary Gland Tumors Diagnosis and Treatment
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineHead and neckNeck massMagnetic resonance imagingDysphagiaPresentation (obstetrics)Differential diagnosisRadiologyAbscessSurgical excisionSurgeryPathology

Abstract

fetched live from OpenAlex

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

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.209

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.062
GPT teacher head0.403
Teacher spread0.341 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2022
Admission routes1
Has abstractyes

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