Preoperative stereotactic ablative body radiotherapy with postoperative conventional irradiation of soft tissue sarcomas: Protocol overview with a preliminary safety report.
Bibliographic record
Abstract
e23546 Background: Preoperative radiotherapy in patients with soft tissue sarcomas is characterized by important advantages: high precision of dose delivery, reduction of tumour volume and implantation potential, induction of immunologic response. Postoperative irradiation is associated with a reduced risk of complication, and a comprehensive radiotherapy planning in accordance with the pathologic report. Combination of pre- and postoperative irradiation gives the opportunity to use the best of both methods. Methods: from 06.2018 to 01.2021 24 patients with soft tissue sarcomas of extremities were included in the protocol (NCT04330456) and 14 cases with at least 12 months follow-up were eligible for analysis. Preoperative stereotactic ablative body radiotherapy (SBRT) was performed as 5 fraction of 7 Gy with dose reduction (5 fractions of 5 Gy) on the margins of the tumor. Postoperative radiotherapy started 5-8 weeks after the surgery and was performed as standard compartmental irradiation in 25 fractions of 2Gy. Complications were determined according to CTCAE and wound complication scales. Results: Preoperative SBRT and subsequent radical resection with tumor free surgical margins were performed in all 14 cases. Primary wound closure was mentioned in all patients. Postoperative radiotherapy started 51.8 days (range 33-99 days) days after the surgery. With a relatively short follow-up of 21.5 (13-30) months, we recorded 2 cases (14%) of severe complications (Canadian sarcoma group criteria), and there were no local recurrences. Conclusions: Our preliminary results demonstrate that the combination of preoperative SBRT and postoperative conventional radiotherapy is feasible and does not increase the risk of postoperative complications. Clinical trial information: NCT04330456.
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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 | 0.008 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.042 | 0.010 |
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".