Metastatic renal interstitial cell tumor in a dog
Bibliographic record
Abstract
Renal interstitial cell tumor (RICT) is a rare renal sarcoma of dogs that arises from renal interstitial cells. Herein we describe a RICT in an 8-y-old female Labrador Retriever dog that died after a 2-d history of lethargy and disorientation. Grossly, soft white nodules of 1–10 mm diameter were present in the renal cortex and corticomedullary junction of both kidneys, left cardiac ventricular wall, and right cerebral hemisphere. A pale-white to yellow, firm, irregular mass effaced 80% of the right pulmonary parenchyma, involving mainly the cranial and middle lobes, and the adjacent tracheobronchial lymph nodes. Histologically, the renal, myocardial, and cerebral neoplasm consisted of interlacing bundles of stellate-to-spindle cells with eosinophilic vacuolated cytoplasm and round-to-oval nuclei with finely stippled chromatin. The mitotic count was 28 per 2.37 mm 2 . Alcian blue stain revealed an extracellular myxomatous matrix throughout the neoplasm. Neoplastic cells had cytoplasmic immunolabeling for vimentin and cyclooxygenase 2. The pulmonary and tracheobronchial neoplasm consisted of infiltrative nodules of cuboidal epithelial cells that had a moderate amount of eosinophilic cytoplasm and round nuclei with coarsely stippled chromatin. There were 5 mitoses per 2.37 mm 2 . Neoplastic cells had cytoplasmic and nuclear immunolabeling for cytokeratin AE1/AE3 and thyroid transcription factor 1, respectively. Morphologic and immunohistochemical findings were consistent with a RICT with cardiac and cerebral metastases, and a pulmonary carcinoma with tracheobronchial lymph node metastasis.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".