P.146 Factors affecting local control of resected brain metastases after single-fraction stereotactic radiosurgery: a systematic scoping review
Bibliographic record
Abstract
Background: This scoping review investigates factors influencing local control in patients with metastatic brain disease undergoing adjuvant stereotactic radiosurgery (SRS) to surgical cavities. Methods: Seven databases (Ovid Medline, PubMed, Web of Science, EMBASE, BIOSIS, Scopus, Global Health, Cochrane) were searched up to August 2, 2021, using terms related to radiosurgery and brain metastasis. A three-level screening identified relevant studies. Data extraction included study type, population, SRS details, and outcomes. Variables recorded were histopathology, resection degree, number of metastases, SRS platform, dose parameters, cavity volume, margin, time to SRS, local control at 12/24 months, overall, and progression-free survival. Significant predictors were noted. Results: From 10,633 articles, 22 studies with 1,749 cavities. Local control at 12 months was 50–100% (median 82%, IQR 73–84.4%). Distant progression at 12 months was 36–64% (median 45.5%, IQR 38–51%) and at 24 months 39–76% (median 53%, IQR 46–55%). Histology, radiation dose, tumor size, extent of resection, treatment timing, tumor depth, and dural/pial attachment impacted local control, whereas primary disease status, surgical corridor coverage, and tumor location did not. Conclusions: Modifiable SRS treatment and patient selection factors need further investigation. This review emphasizes the necessity for consensus and guides future trials and guidelines to enhance metastatic brain disease management 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 | 0.006 | 0.038 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.005 | 0.005 |
| Bibliometrics | 0.010 | 0.014 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.013 | 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".