Functional outcome following excision of giant cell tumour of the distal radius and reconstruction by autologous non-vascularized osteoarticular fibula graft
Bibliographic record
Abstract
PURPOSE: Giant cell tumour (GCT) of the bone is a benign but locally aggressive tumour, commonly occurs at the metaphyseal-epiphyseal junction of the distal femur, proximal tibia, and distal radius. For Campanacci grade II and III lesions of the distal radius and in cases of recurrence, we usually carry out wide resection and reconstruction. There are numerous publications on the treatment of GCT of the distal radius. Still, reports on the functional outcome using non-vascularized fibular graft arthroplasty without fusion remain limited. METHOD: We reviewed patients who underwent wide resection and non-vascularized fibular graft arthroplasty from 2007 to May 2014. The assessment was done with Musculoskeletal Tumour Society Score (MSTS), Toronto Extremities Scoring System (TESS) and Disability of the Arm, Shoulder and Hand (DASH) scores. We also reviewed the radiographic results. RESULTS: Fifteen patients were recruited, of whom 10 cases used ipsilateral fibular graft and five used contralateral non-vascularized fibular graft. The average duration of follow up was 6 years (3.25-9.92 years). The average grip strength was 48.1% compared to the non-operated hand. The average MSTS score was 78.4 %, TESS score was 84%, and DASH score was 25.2. The average time to radiological union was 12.5 weeks. 64% (29-78%) of the range of movement is preserved compared to the normal side. The complication rate was 20%. CONCLUSION: Fibula autograft arthroplasty is a feasible method of reconstruction after distal radius resection with good functional outcomes.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.001 | 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".