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Record W4410122219 · doi:10.24908/pocusj.v10i01.17787

Fibromatosis Colli on Point of Care Ultrasound (POCUS)

2025· article· en· W4410122219 on OpenAlexvenueno aff
Jeff Yang, Christine Rizkalla

Bibliographic record

VenuePOCUS Journal · 2025
Typearticle
Languageen
FieldMedicine
TopicSoft tissue tumor case studies
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineVascularitySternocleidomastoid muscleEmergency departmentHead and neckRadiologyUltrasoundTorticollisSurgery

Abstract

fetched live from OpenAlex

Fibromatosis colli is a rare benign fibrosis of the sternocleidomastoid (SCM) muscle which manifests clinically as congenital muscular torticollis, or an ipsilateral head tilt with contralateral turning of the neck. Though benign, care must be taken not to miss other etiologies with similar clinical presentations, such as malignancies or abscesses. Point of care ultrasound (POCUS) offers a rapid, low-cost, and accessible option for adjunct imaging. In this case report, a 26-day-old boy presented to the pediatric emergency department for evaluation of a nontender, firm left-sided neck mass with preferential turning of his head to the right. POCUS showed a noncompressible, homogenous, well-defined mass in the left SCM without increased vascularity consistent with fibromatosis colli. The patient was discharged from the emergency department with outpatient follow-up. His follow-up course required no further imaging or testing, and the patient's symptoms resolved with physical therapy.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.001

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.

Opus teacher head0.008
GPT teacher head0.293
Teacher spread0.285 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designCase report
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

Citations1
Published2025
Admission routes1
Has abstractyes

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