Validity of Indirect Ultrasound Findings in Acute Anterior Cruciate Ligament Ruptures
Bibliographic record
Abstract
OBJECTIVES: Ultrasound (US) is increasingly being used as an extension of the physical examination on the sidelines, in training rooms, and in clinics. Anterior cruciate ligament (ACL) injury in sport is common, but the literature on US findings after acute ACL rupture is limited. Three indirect US findings of ACL rupture have been described, and this study assessed the validity of these indirect signs. METHODS: Patients with an acute knee injury (<6 weeks) underwent US examinations to determine whether there was evidence of a femoral notch sign, posterior cruciate ligament wave sign, or capsular protrusion sign. Ultrasound findings were compared to magnetic resonance imaging. RESULTS: Sixty-nine patients were included (53 with ACL tears and 16 control patients). The posterior cruciate ligament sign had the highest sensitivity (84.9%), and the notch sign had the highest specificity (93.8%). If 2 or 3 of the signs were positive, the sensitivity was 86.8%, and the specificity was 87.5%. CONCLUSIONS: A US examination is an easy-to-perform and noninvasive test, and the 3 indirect signs of an acute ACL tear had high positive predictive values ranging from 91.8% to 96.8%.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 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".