Correlation between Trochlear Dysplasia and Anterior Cruciate Ligament Injury
Bibliographic record
Abstract
PURPOSE. To evaluate the correlation between trochlear dysplasia and anterior cruciate ligament (ACL) injury METHODS. Magnetic resonance images (MRIs) of 95 knees in 54 males and 36 females aged 4 to 74 (mean, 28) years who had anterior knee pain and suspected ligamentous injury were reviewed. The MRIs were independently reviewed by 2 musculoskeletal radiologists on 2 occasions. According to the Dejour classification, trochlear dysplasia was classified into types A, B, C, and D. Intra-articular injuries/ disorders of the patients included patellofemoral osteoarthritis, chondromalacia patella, meniscal tears, and ligamentous injuries. Intra- and inter-observer variability was calculated. RESULTS. 58 of the knees had trochlear dysplasia, 38 of which were Dejour type A. The intra- and inter-observer variability was good to excellent (Kappa=0.76-1). ACL tear was the most common injury (n=13). No ACL injury occurred in patients without trochlear dysplasia. The odds of having sustained an ACL injury were 8.8 fold greater in Dejour type-A knees than in non-type-A knees (p=0.023). CONCLUSION. Dejour type-A trochlear dysplasia was associated with ACL injuries.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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) | 0.000 | 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 teacher head, 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".