Evaluation of the quadriceps tendon, patellar tendon, and collateral ligaments after total knee arthroplasty: appearances in the early postoperative period.
Bibliographic record
Abstract
OBJECTIVE: To evaluate and compare the normal appearance on ultrasound and magnetic resonance imaging (MRI) of the quadriceps tendon, patellar tendon, and collateral ligaments in the early postoperative period following total knee arthroplasty. METHODS: Within a 6-month period, 10 patients with a total knee arthroplasty were referred for imaging. All patients had surgery within 12 weeks, and both MRI and ultrasound were performed on the same day. Two experienced musculoskeletal radiologists, blind to the results of the opposing modality, assessed the integrity of the quadriceps tendon, patellar tendon, and collateral ligaments. RESULTS: Using ultrasound, we identified a focal defect within the medial aspect of the quadriceps tendon in 8 (80%) patients; a similar defect was detected in 5 (50%) patients on MRI. The patellar tendon was thickened in 10 (100%) patients in both modalities. The medial collateral ligament was visualized in 10 (100%) patients with ultrasound and was demonstrated in only 2 (20%) patients with MRI. The lateral collateral ligament was visualized in 7 (70%) and 4 (40%) patients with ultrasound and MRI, respectively. One moderately sized superficial hematoma was demonstrated on ultrasound but was missed on MRI. All abnormalities identified on MRI were also seen with ultrasound. CONCLUSION: A medial defect in the quadriceps tendon and thickened patellar tendon and medial collateral ligament can be considered normal findings. Knowledge of these findings will assist in preventing incorrect diagnosis of a tear. In our cases, ultrasound detected more findings than did MRI.
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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 | 0.005 |
| 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 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".