Soft Tissue Metastases as the First Clinical Manifestation of Squamous Cell Carcinoma of the Esophagus: Case Report
Bibliographic record
Abstract
Soft tissue metastases are an uncommon presenting feature for primary solid tumours. This case highlights a rare presentation in which a soft tissue mass is the first clinical manifestation of a widespread disseminated malignancy of the esophagus. A 73-year-old woman presented with a soft swelling in the left upper quadrant of the abdomen arising from the anterior abdominal wall, suspicious of liposarcoma. Core biopsies revealed squamous carcinoma. Immunohistochemistry suggested the most likely diagnosis was that of metastatic carcinoma with a number of potential primary sites. Computed tomography scanning showed widespread metastatic disease, including lung, liver, kidney, omentum, subcutaneous and intramuscular lesions. The distal esophagus was noted to be circumferentially thickened. Finally, upper gastrointestinal endoscopy revealed carcinoma of the esophagus. The patient remains well awaiting esophageal stenting and palliative chemotherapy. In conclusion, it is important to be able to distinguish the origin of a soft-tissue swelling as the management will depend significantly on the histological type. Soft-tissue metastases are rarely encountered as a presenting sign of an occult cancer. Primary cancers that most commonly metastasise to soft tissues include those arising within the lung, colon and kidney. The most frequent histological diagnosis is adenocarcinoma. This case demonstrates the utility of biopsy in the investigation of soft tissue masses when the clinical presentation is unusual.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.005 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 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".