Imaging features of unilateral renal T‐cell lymphoma occurring simultaneously in the urinary bladder wall and contralateral ureter with secondary polycythaemia in a dog
Bibliographic record
Abstract
Abstract A six‐year‐old neutered male Labrador Retriever was presented with haematuria and inappetence of one‐week duration. Physical examination revealed mild abdominal pain and the blood cell count showed moderate polycythaemia, with a slight increase of the erythropoietin levels. Urinalysis demonstrated proteinuria, haematuria and isosthenuria and urinary sediment revealed mild amount of lymphoid cells. After performing a complete imaging study (radiographs, ultrasound and CT scan), a unilateral renal lymphoma with secondary extranodal lymphoma of the urinary tract (bladder wall and left ureter) was suspected. Fine‐needle aspirates of both kidneys, ureter and bladder masses were obtained, and a tentative diagnosis of lymphoma was made. Positive PCR antigen receptor rearrangement indicated a T‐cell origin. The owners opted for euthanasia and declined necropsy. CT was essential for the evaluation of this case – it not only depicted renal lesions, but also identified accurately extension to adjacent anatomic structures helping to determine the systemic spread of the disease.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".