Three Sonographic Findings to Look for in Fibromatosis Colli: Scanning Tips and Report of Two Cases
Bibliographic record
Abstract
Fibromatosis colli is a rare, benign mass of the sternocleidomastoid muscle (SCM), typically diagnosed in infants between weeks 1 to 8 of life. Physical examination of the infant will exhibit a firm lump on the affected side of the neck. The mass is typically unilateral and may be accompanied by torticollis. We present two cases of infants with fibromatosis colli. Sonographic examination is the preferred initial non-invasive diagnostic procedure, with 100% sensitivity. Ultrasound can confirm the diagnosis, avoiding unnecessary invasive interventions. Early diagnosis can prevent complications such as plagiocephaly, facial asymmetry, and scoliosis. We aim to provide the tools necessary to recognize fibromatosis colli by describing three key sonographic appearances. We will present two separate cases that demonstrate these findings and discuss how to sonographically rule out the many differential diagnoses.
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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 | 0.001 | 0.008 |
| Meta-epidemiology (narrow) | 0.003 | 0.002 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.005 | 0.002 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.006 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 0.002 |
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".