Preoperative vs postoperative radiation therapy for extremity soft tissue sarcoma: controversy and present management
Bibliographic record
Abstract
PURPOSE OF REVIEW: The 5-year results of the Canadian multicenter prospectively randomized phase III trial that compared preoperative with postoperative radiotherapy for patients with extremity soft tissue sarcomas were recently presented at the 2004 meeting of the American Society of Clinical Oncology. These latter findings serve as an impetus for this current review to assess the optimal sequencing of adjuvant radiotherapy for such patients undergoing limb-preserving surgery. RECENT FINDINGS: The recent studies, including the 2004 American Society of Clinical Oncology presentation, described in this paper show no significant rise in the incidence of long-term side effects, such as delayed wound healing and subcutaneous tissue damage, in patients with extremity soft tissue sarcomas who receive once-daily preoperative irradiation followed by limb-preserving surgery. Postoperative radiotherapy may be best reserved for patients who are most likely to undergo a wide local excision with adequate (>10 mm) tumor-free margins (such as low-grade lesions in the lower extremities). There is an increasing use of neoadjuvant chemoradiation in this group of patients, especially for high-grade and large lesions. SUMMARY: Further investigations regarding the preoperative management of extremity soft tissue sarcomas are continuing in an attempt to optimize the survival and functional status of these patients, while minimizing the permanent side effects resulting from such treatment.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".