Spontaneous Regression and Reoccurrence of Osteosarcoma in a Canine Tibia
Bibliographic record
Abstract
Abstract A 32-month-old female Labrador Retriever mix-breed presented for right pelvic limb lameness with firm swelling on the lateral aspect of the stifle. Radiographs revealed a mass with periosteal elevation along the lateral cortex of the proximal tibia. Histology on a core biopsy sample was diagnostic for osteosarcoma. Surgical treatment was declined. Eight months post diagnosis, the patient was re-evaluated by the primary care veterinarian and had no lameness, pain, or tibial swelling. Sixty-three months later (5.2 years), the patient presented for cranial cruciate ligament ruptures. Radiographs revealed a smooth bony protuberance on the lateral aspect of the right proximal tibia in the area of the previous osteosarcoma. The patient underwent bilateral tibial plateau levelling osteotomies. The surgical recovery was uneventful with normal healing. Twenty-seven months following surgery, the patient returned for painful swelling around the right proximolateral tibia. Radiographs revealed an 8 × 9 cm osteoproliferative and osteolytic lesion of the proximal tibia. Osteosarcoma was confirmed via core biopsy. The bone tumour grew rapidly, and the patient was euthanatized 3 months thereafter. This case report demonstrates the unusual occurrence of an osteosarcoma in a young dog which spontaneously regressed. Ninety months (7.5 years) after clinical resolution of the initial tumour, osteosarcoma formed again in the same location. Lifetime patient monitoring with repeated clinical exams, serial radiographs, and multiple biopsies by the same surgeon, pathologists, and radiologist are unique features of this case report.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 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".