Osteochondral Allograft Implantation Using the Smith–Peterson (Anterior) Approach for Chondral Lesions of the Femoral Head
Bibliographic record
Abstract
Management of chondral lesions of the femoral head can be challenging. Previously described approaches include arthroscopic surgery for small lesions and open surgical dislocation for larger lesions. In 2001, Ganz popularized the trochanteric flip osteotomy for surgical dislocation, and this remains the workhorse for treatment of large chondral lesions. However, by using a Smith-Peterson (direct anterior) approach and a femoral head allograft, large lesions may be treated while avoiding both trochanteric osteotomy and donor-site morbidity. We present our technique using a Smith-Peterson approach and osteochondral implantation of fresh femoral head allograft for surgical treatment of a femoral head chondral lesion.
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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 | 0.000 | 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".