Re-treatment of bone metastases for pain control: 2023 ASTRO education panel
Bibliographic record
Abstract
Bone metastases are a common and debilitating consequence of advanced cancer, often necessitating palliative radiation therapy (RT) for pain relief. Reirradiation (reRT) of bone metastases is often considered after lack of pain relief following an initial course of RT, after a partial but unsatisfying pain response to an initial course of radiotherapy, or after pain recurrence following a complete or partial pain response to an initial course of RT. The NCIC CTG SC.20 trial, a landmark multicenter, randomized, non-blinded, controlled non-inferiority trial, addressed the critical question of optimal dose fractionation for reRT in this patient population. This trial compared the efficacy and toxicity of a single 8 Gy fraction to multiple fractions totaling 20 Gy in 850 patients with painful bone metastases requiring reRT. The primary endpoint was overall pain response at 2 months, with secondary endpoints of quality of life (QoL) measures, functional interference, and toxicity profiles assessed using patient-reported questionnaires and the European Organisation for Research and Treatment of Cancer (EORTC) QLQ-C30. The intention-to-treat analysis revealed no significant difference in pain response between the two arms, meeting the pre-specified non-inferiority criteria. The per-protocol analysis suggested a potential benefit for a subset of patients receiving multiple fractions, although this was not statistically robust. Acute toxicities were more prevalent in the multiple fractions arm, with implications for patient comfort and healthcare utilization. Importantly, responders to reRT reported significant improvements in functional interference and QoL. The trial's findings support the use of a patient-centric approach to palliative RT, highlighting the viability of a single 8 Gy fraction as a less toxic and more convenient treatment option, albeit with consideration for individual patient circumstances. These results have significant implications for clinical practice, potentially reducing healthcare burdens while optimizing patient convenience during palliative care for painful bone metastases.
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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 | 0.004 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.005 | 0.003 |
| Insufficient payload (model declined to judge) | 0.048 | 0.018 |
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".