Posterior Neck Triangle Spindle Cell Lipoma
Bibliographic record
Abstract
Spindle cell lipomas (SCLs) are a rare variant of lipomas with distinct pathological and immunohistological features. Pathological characteristics of SCLs have been well described and include the following features: a well-circumscribed subcutaneous lesion that contains a variety of mature adipocytes, spindle cells and collagen bundles. Immunohistochemical staining of SCLs is usually positive for CD34. Four cases of posterior neck triangle SCLs have been reported in the literature. We present a further case of SCL presenting in the posterior triangle of the neck. A 51-year-old man with a large right posterior neck triangle mass was referred to our Head & Neck Clinic. Further questioning revealed that this swelling had been growing over a two and a half year period associated with neck pain, difficulty swallowing and recurrent skin infections at the base of the mass. Due to the rare nature of SCLs, such cases should be discussed in a dedicated multi-disciplinary team meeting. Although metastasis from SCLs is rare, experienced pathologists and radiologists should be consulted early in order to distinguish the type of lesion and the risk of metastasis from more sinister lesions such as liposarcoma. Surgical excision of SCLs is currently accepted as the gold standard and mainstay of management. J Med Cases. 2016;7(6):208-212 doi: http://dx.doi.org/10.14740/jmc2462w
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".