Anatomic Posterolateral Corner Reconstruction With Single Graft Tibial Socket Fixation
Bibliographic record
Abstract
Introduction: The posterolateral corner (PLC) is comprised of the fibular collateral ligament, popliteus tendon, and popliteofibular ligament. Injuries to the PLC are associated with significant morbidity and functional limitation, most frequently manifested through a varus thrust gait. In the previous 2 decades, advances have been made in understanding the importance of the PLC and as a result, many techniques have been developed to address its reconstruction. Material and Methods: The Laprade technique is a previously described anatomic reconstruction of the PLC. We propose some modifications to this technique, which involve dissection of the posterolateral tibia to allow direct protection of the popliteal neurovascular bundle while establishing tibial fixation. A single hamstring graft is utilized for the reconstruction, is routed through the fibular tunnel and subsequently secured with the use of a dual-expanding tenodesis anchor, placed in a tibial socket removing the need for a tibial tunnel. Conclusion: The present study describes a novel anatomic technique that allows for improved protection of neurovascular structures, better control of graft tensioning and tunnel management, and the judicious use of a single tendon autograft while maintaining the described benefits of the anatomic Laprade technique.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".