The Use of Free Vascularized Fibular Grafts in Skeletal Reconstruction for Bone Tumors in Children
Bibliographic record
Abstract
The reconstruction of large skeletal defects in children following resection of a bone tumor presents a unique challenge to the orthopaedic surgeon. Issues in this population that are not present in the adult population include significant remaining growth potential, the desire for biologic preservation of the joint surface, and the need for a long-term viable reconstruction in patients who are anticipated to survive for decades. The use of a free vascularized fibular graft, supplied by the peroneal vessels in intercalary fibular grafts and the anterior tibial vessels in proximal fibular grafts, has been shown to provide biologic reconstruction that successfully addresses these issues in the pediatric population. Specific techniques are applied in the upper and lower extremity to provide long-term excellent functional results. Experience in microvascular surgery and careful postoperative care are required for the success of these procedures.
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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) | 0.003 | 0.003 |
| 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) | 0.000 | 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".