Radiation Therapy in Soft Tissue Sarcoma
Bibliographic record
Abstract
This chapter presents a case scenario of a 50-year-old woman who presents with a growing mass in the medial thigh. Magnetic resonance imaging confirms a tumor with heterogeneous signal characteristics. Radiation therapy (XRT) is used in the management of soft tissue sarcomas (STS), with the goal of extending the virtual margin to the surrounding tissues. Limb-sparing surgery plus XRT is as effective as amputation for the local control of STS. XRT plus limb-sparing surgery is superior to surgery alone for the local control of high-grade extremity STS. Sarcomas are best treated by multidisciplinary teams and individualized treatment plans. There are potential advantages and disadvantages to both pre- and postoperative XRT. Multiple studies have demonstrated that preoperative XRT increases the probability of wound complications compared with postoperative XRT, which can cause adverse long-term functional consequences. The chapter provides recommendations for implementing evidence-based practice in the clinical setting.
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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 | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.021 | 0.006 |
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".