Primary mediastinal spindle cell sarcoma in a dog
Bibliographic record
Abstract
Abstract Soft tissue sarcomas are frequently reported tumours in dogs and are most often located in the cutaneous and subcutaneous tissues. Primary thoracic soft tissue sarcomas are infrequently reported in veterinary literature. This case report describes the diagnosis and treatment of a primary mediastinal spindle cell sarcoma of a 7‐year‐old, male, neutered Labrador retriever. Staging was performed before surgery. Computed tomography revealed a large intrathoracic mass in the left ventral hemithorax. A left‐sided thoracotomy was performed and a large pedunculated mass originating from the caudal mediastinum was excised. Histopathology revealed a high‐grade, undifferentiated spindle cell sarcoma. Immunohistochemistry staining confirmed the mesenchymal origin of the mass. Adjuvant chemotherapy was administered. Thoracic radiology was performed 38 days after surgery and revealed pleural effusion and mass effect in the caudal thorax. The patient was euthanased 66 days after surgery due to acute respiratory distress.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".