Secondary Effects of Radiation Therapy to the Hand for Benign Conditions
Bibliographic record
Abstract
Background: Emerging literature introduces radiation therapy for benign hand conditions. However, hand surgeons are wary recommending radiation therapy for nonmalignant conditions. In our practice, we have used radiation therapy for patients who present with infiltrative or recurrent giant cell tumor of the tendon sheath (GCTTS) since 1998. The purpose of this study is to examine the secondary effects of radiation to the hand through the critical lens of a hand surgeon. Methods: A case series of patients who received radiation therapy for GCTTS were reviewed. The Radiation Oncology/Toxicity Grading Late Radiation Morbidity Scoring Schema was used, and patients were questioned about symptoms and examined for physical findings involving their irradiated digits. Results: A total of 8 patients with GCTTS presented for follow-up. The average patient age was 59.1 years, and the average time since radiation therapy was 5.4 years. Patients had an average of 2.3 surgeries on the affected digit prior to receiving radiation therapy. The average Disabilities of the Arm, Shoulder, and Hand score was 8.1. The most common sign of radiation was nail changes. All patients complained of sensibility changes, although only 2 of the 8 patients had abnormal moving 2-point discrimination tests. There were no confirmed recurrences of GCTTS and no skin cancers. Conclusions: Patients who received radiation therapy to the hand report high levels of satisfaction with the therapy. Radiation therapy is tolerated well by these patients and has a low level of morbidity in our population.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.007 | 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".