CASE REPORT Rotational Vascularized Tibiaplasty After Oncologic Resection and Major Wound Healing Problems: A Novel Technique.
Bibliographic record
Abstract
OBJECTIVE: To describe a novel method to reconstruct, with a vascularized rotational tibiaplasty, a complex femoral defect in an adolescent. METHODS: After a femoral osteosarcoma resection, allograft reconstruction, and chemotherapy, an 11-year-old girl developed recurrent thigh wound infections and femoral allograft osteomyelitis despite multiple operative interventions. At the age of 13, she presented to our center with a complex right thigh wound and an unstable lower extremity secondary to a segmental femoral loss. To reestablish thigh stability and function and to avoid amputation at the hip, the authors performed a rotational vascularized tibiaplasty. The tibia was rotated 180° with the pivot at the knee. The distal tibia was internally stabilized to the residual proximal femur. RESULTS: Ten years later, the patient had a stable thigh, a functional hip, no evidence of infection or sarcoma, and a Toronto Extremity Salvage Score of 92.5 (minimal disability). CONCLUSIONS: In this patient, the tibial rotationplasty provided a vascularized bone strut mimicking the resected femur; saved the hip; obviated an allograft bone; and created a functional, biologic, stable, and durable thigh that allowed full weight bearing on a prosthesis, with a low physical disability level. We conclude that, for patients with complex femoral defects, a vascularized rotational tibiaplasty should be considered a feasible option before amputation.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.004 | 0.002 |
| 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".