Isolated cervical lymph node metastasis of renal pelvic squamous cell carcinoma: A case report
Bibliographic record
Abstract
A 78-year-old man was admitted to the Department of Otolaryngology of our hospital with bilateral lymph node swelling of the neck. Pathological examination revealed squamous cell carcinoma (SCC). He underwent computed tomography (CT) of the neck and chest, upper gastrointestinal endoscopy and laryngoscopy to locate a primary tumour, however, no obvious tumour was detected. Eight months later, a renal tumour without regional lymph node swelling was found when a chest CT scan was performed again. We then performed a right nephroureterectomy and regional lymphadenectomy. Pathological examination revealed SCC of the renal pelvis, pT3, grade 3, without regional lymph node metastasis. This pathological finding for the kidney was virtually the same as that for cervical lymph nodes. Therefore, it was thought that his cervical tumours had metastasized from the renal pelvic SCC. To the best of our knowledge, there are no reports of renal pelvic carcinoma without regional lymph node metastasis having only cervical lymph node metastasis. This is the first case of isolated cervical lymph node metastasis from renal pelvic SCC.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.005 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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.
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".