Subchondral bone density changes of the talus in dogs with tarsocrural osteochondrosis
Bibliographic record
Abstract
BACKGROUND: Osteochondritis dissecans (OCD) and osteochondrosis (OC) are multifactorial developmental joint diseases that can occur in various anatomical locations, including the tarsus of immature, rapidly growing large breed dogs. The pathogenesis of canine OCD and OC involves a disruption in endochondral ossification, resulting in a failure of matrix calcification and vascular invasion. This study aimed to investigate the subchondral bone density changes in Labrador Retrievers with tarsocrural OCD/ OC. RESULTS: A total of 8 dogs with unilateral tarsocrural OCD/ OC were included in the study and density was evaluated with Computed Tomography osteoabsorptiometry (CTOAM ). The findings revealed a significant decrease in subchondral bone density at the location of the OCD/ OC lesion, particularly at the medial trochlear ridge. This area of low density was surrounded by a higher density rim. Furthermore, the contralateral joint showed a significantly higher overall mineral density. CONCLUSION: These results highlight the significant changes in bone mineral density associated with tarsocrural OCD/ OC. The lower density in the affected joint suggests pathological alterations in the subchondral bone, which may impact the bone turnover and contribute to the development of secondary osteoarthrosis, subsequently. The higher density observed in the contralateral joint emphasizes the role of altered joint loading and adaptation in the subchondral bone.
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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 | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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".