Moving towards single fraction peripheral lung stereotactic body radiation therapy: patient care during and after the global COVID-19 pandemic
Bibliographic record
Abstract
Aim/objectives: Single-fraction stereotactic body radiation therapy (SF-SBRT) for peripheral lung tumors was reviewed. Materials & methods: Medically inoperable peripheral lung tumors eligible for SF-SBRT 34 Gray were treated. Patient characteristics, treatment and toxicity parameters were retrospectively collected, and toxicities were evaluated. Results: A total of 26 patients were assessed with median age of 74 years. Ninety-six percent had early-stage cancer and 35% were treated as per the SABR-BRIDGE protocol. Twenty-six peripheral lesions were treated (median maximal dimension 1.7 cm). Sixty-five percent had grade ≤2 toxicities with radiation pneumonitis (42.3%) and chest wall pain (35%). Radiation pneumonitis and chest wall pain rates were higher in patients with tumor diameters more than 1.5 cm. Conclusion: SF-SBRT is practical and effective treatment technique.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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".