Molar Tooth in the Knee – A Case of Simultaneous Medial and Lateral Bucket Handle Tear with Arthroscopic Correlation and a Review of Literature
Bibliographic record
Abstract
Introduction: Simultaneous bucket handle tear of both lateral and medial menisci is a rarely encountered entity. MR imaging helps in pre-operative diagnosis for optimal operative planning. However, as this condition is not seen in routine practice, awareness of various imaging signs is essential to identify this condition. Few signs on coronal and sagittal images have been described in the literature but none so far on axial images. Case Presentation: We propose a novel "molar tooth sign" in the knee on axial MRI images, in which we identified in the case of a young male with recurrent knee locking after a fall from height. Conclusion: Different modes of injury can lead to different patterns of meniscal and ligament tears. Having an allied sign which is, furthermore, easy to imagine will help, not only the radiologists but also the surgeons, to identify rare types of meniscal tears similar to the index case.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.008 | 0.005 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| 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".