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Record W4414341563 · doi:10.1055/a-2686-4952

Quantifying the Stress in Stress Radiography to Determine Sufficient Laxity of the Coxofemoral Joint in Sedated Dogs

2025· article· en· W4414341563 on OpenAlexaboutno aff
Louis M.J. Vandekerckhove, Stijn Herregodts, Tim Bosmans, Katrien Vanderperren, Jimmy Saunders, Bart J. G. Broeckx

Bibliographic record

VenueVeterinary and Comparative Orthopaedics and Traumatology · 2025
Typearticle
Languageen
FieldVeterinary
TopicVeterinary Orthopedics and Neurology
Canadian institutionsnot available
Fundersnot available
KeywordsRadiographyOsteoarthritisBeagleCadaverLigamentous laxityJoint instability

Abstract

fetched live from OpenAlex

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.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.802

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.173
GPT teacher head0.356
Teacher spread0.182 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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