Leiomyosarcoma of the spermatic cord: case report and literature review
Bibliographic record
Abstract
A 51-year-old man presented with a 2-year history of painless lump in the left hemiscrotum. Scrotal examination demonstrated a 3-cm, firm-to-hard mass attached to the left spermatic cord. Scrotal ultrasound scan revealed a heterogeneous mass separate from the left testis and epididymis. An orchidectomy was recommended to the patient; however, he declined surgery and underwent excision biopsy of the lesion with preservation of the left testis. Histology suggested a leiomyosarcoma of the spermatic cord and positive margins. Following a normal staging CT scan, the patient was referred to the regional sarcoma clinic. He was treated with an orchidectomy. Microscopic examinations showed fibrosis in the spermatic cord and negative margins. The patient has been followed up for 12 months with CT scans and shows no signs of recurrence.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.005 | 0.004 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| 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".