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Record W7117362884 · doi:10.21037/tp-2025-625

Sclerosing perineurioma of the anterior chest wall in an active Caucasian toddler: a case report

2025· article· en· W7117362884 on OpenAlexaff
Marcos Bettolli, Julie Hurteau, Nasim Haghandish, Consolato Sergi

Bibliographic record

VenueTranslational Pediatrics · 2025
Typearticle
Languageen
FieldMedicine
TopicSarcoma Diagnosis and Treatment
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsComputed tomographyThoracic NeoplasmBenign neoplasmsCongenital diseaseMEDLINE

Abstract

fetched live from OpenAlex

Background: Perineurioma is a rare benign tumor of the peripheral nerve sheath, encompassing intraneural, traditional soft tissue, reticular, and sclerosing variants. Sclerosing perineurioma is a rare variation that predominantly manifests on the hands of young adults, presenting as a tiny, painless subcutaneous tumor. The incidence of pediatric perineurioma is very low, with only a few dozen cases reported in the literature. The primary cause for appointments at the outpatient clinic is a gradually enlarging asymptomatic tumor. The affected areas usually include the thumb (acral location). The lesions are typically solid, well-defined white masses with a fibrous texture, measuring 1.2-4.0 cm in maximum dimension. Case Description: We present a 2-year-6-month-old male with a sclerosing perineurioma of the left anterior chest wall and delineate the lesion's ultrasonographic and pathological characteristics. Conclusions: This case report illustrates an almost unique pediatric instance of sclerosing perineurioma of the left anterior chest with additional, previously unreported imaging progression since birth. This case report is critical for general pediatrics and pediatric radiology. A description of this case aids in diagnosing extra-acral features of this tumor. Moreover, this case report may improve understanding of the imaging-pathology correlation of this tumor, benefiting both specialists and fellows.

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 score0.010
Threshold uncertainty score0.325

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 head0.029
GPT teacher head0.310
Teacher spread0.281 · 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
Published2025
Admission routes1
Has abstractyes

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