Aportación de la tomografía computarizada al estudio de la displasia de codo en el perro
Bibliographic record
Abstract
espanolEste es un estudio retrospectivo de tomografia computarizada (TC) en 33 perros con sospecha de displasia de codo (DC). Se incluyeron 20 machos y 13 hembras, con edades entre 5 y 72 meses, fundamentalmente de razas Labrador Retriever y Pastor Aleman, con cojera uni o bilateral de extremidades anteriores, disminucion de movilidad y dolor a la hiperextension del codo. En todos los perros se valoraron ambos codos (n=66). La TC se realizo en decubito supino y con los codos extendidos, con un equipo de TC dotado de un multidetector de 2 cortes (modelo CT/e Dual, General Electric). Se detecto la enfermedad de la apofisis coronoides medial del cubito (EACM) en 53 codos. Otras lesiones de DC, casi siempre asociadas a la anterior, fueron la osteocondrosis/osteochondritis dissecans (OCD) (6 codos), la no union del proceso anconeo (NUPA) (3 codos) o la incongruencia articular (IA) (19 codos). Los planos de corte que ofrecieron mejor informacion fueron el transversal para apreciar la EACM, el sagital para apreciar la NUPA e IA y el dorsal para detectar casos de OC. La TC fue un metodo no invasivo adecuado de diagnostico para detectar la EACM y otras enfermedades del codo. Posee una gran capacidad para detectar signos de artrosis. EnglishThis is a retrospective study involving the CT findings of 33 dogs with suspected elbow dysplasia. The study included 20 males and 13 females with an age range of 5 to 72 months, in which the Labrador Retriever and German Shepherd breeds were the most represented. Clinically, dogs had unilateral or bilateral forelimb lameness,reduced mobility and signs of pain upon elbow hyperextension. Both elbow joints were included in the CT examination (n=66). The CT was performed using a 2-slice multidetector helical CT (CT/e Dual, General Electric) and dogs were positioned in dorsal recumbency with both elbows extended cranially. Medial coronoid disease (MCD) was observed in 53 elbows. Other lesions consistent with elbow dysplasia (ED), such as osteochondrosis/osteochondritis dissecans (OCD) (6 elbows), ununited anconeal process (UAP) and elbow incongruency (EI) (19 elbows) were also observed. The cutting image planes that provided the best information were the transverse plane for the diagnosis of MCD; the sagittal plane for the diagnosis of UAP and EI, and the dorsal plane in cases of OC. CT scan is a non-invasive method suitable for the diagnosis of MCD and other elbow conditions, and it is highly sensitive to detect signs of osteoarthritis.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".