Knee Joint Osteochondral Reconstruction Using Fresh Femoral Head Autograft
Bibliographic record
Abstract
We present the management of polyarticular osteonecrosis in a 17-year-old female, with marked symptoms involving both hips and one knee. As a complication of chemotherapy to treat leukaemia, the articular surfaces of both femoral heads and the right knee lateral femoral condyle collapsed, resulting in significant pain and disability. For this unusual case a novel technique was employed, using a method we believe has not been described previously. The articular surface of the knee was reconstructed using fresh bulk osteochondral autograft harvested from the ipsilateral femoral head during a simultaneous total hip arthroplasty. Reconstructive options in young patients with multiple joints involved are often restricted, and suitable osteochondral allografts can be difficult to obtain. Fresh osteochondral auto-grafting enabled rapid osseous integration and articular surface reconstruction using living host cartilage, resulting in an excellent clinical outcome. Although uncommon, concurrent avascular necrosis of multiple large joints is occasionally encountered, and management options are particularly limited in young patients. We recommend this innovative technique be considered in those patients who satisfy the criteria for bulk osteochondral grafting procedures where total hip replacement is also required. J Med Cases • 2013;4(12):803-810 doi: http://dx.doi.org/10.4021/jmc1524w
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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 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 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 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".