Quantifying the Stress in Stress Radiography to Determine Sufficient Laxity of the Coxofemoral Joint in Sedated Dogs
Bibliographic record
Abstract
Abstract It is well-established that hip joint laxity is the primary cause of degenerative changes in canine hip dysplasia, although some fundamental characteristics of stress radiography are still scarce, especially regarding the appropriate applied force. The objective of this study was to validate the recently published force–laxity relationship from a cadaver study and to determine the force necessary to measure a sufficient proportion of laxity present in coxofemoral joints in sedated dogs. Twenty-one dogs (10 Beagles and 11 Labrador Retrievers) underwent a radiographic protocol, including stress radiographs with increasing force, using the Vezzoni Modified Badertscher Distension-measuring Device. The Laxity Index (LI) and osteoarthritis (OA) were scored. The force–laxity curves and the maximal Laxity Index (LImax) were not significantly influenced by OA, gender or side. Weight was significantly associated with LImax and the force–laxity curves. Ninety per cent of hip joints achieved sufficient laxity at a force of 80.45 N, which is practically achievable and less than that in cadavers. Bias due to low LImax in the Labrador Retriever group and the only presence of radiographic signs of mild OA in the Beagle group should be considered. This study confirmed the relation between applied force and LI, the robustness of this stress radiography technique and the use of a minimum 80.45 N of measured force to reach sufficient LI. Future studies with inclusion criteria regarding a broad LImax range and OA scores should be conducted.
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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) | 0.000 | 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 | 0.000 | 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".