The evolution and rise of stereotactic body radiotherapy (SBRT) for spinal metastases
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
INTRODUCTION: Owing to improvements in clinical care and systemic therapy, more patients are being diagnosed with, and living longer with, spinal metastases (SM). In parallel, tremendous technological progress has been made in the field of radiation oncology. Advances in both software and hardware are able to integrate three- (and four-) dimensional body imaging with spatially accurate treatment delivery methods. This leads to improved efficacy, shortened treatment schedule, and potentially reduced treatment-related toxicity. Areas covered: In this review, we will look at the progress made by stereotactic body radiotherapy (SBRT) in the management of SM. We will review the technological factors which have enabled the widespread use of SBRT. The efficacy of SBRT, in various clinical scenarios, and associated toxicities will be reviewed. Lastly, we will discuss about patient selection and provide a five-year roadmap. Expert commentary: Spine SBRT is a safe and efficacious treatment option. Practice guidelines recommend the use of SBRT in oligometastatic patients especially those with radio-resistant cancer types, and in scenarios involving re-irradiation. SBRT offers patients dose-intensification over a short schedule which may allow less time off systemic therapy. The results of the phase III trials are eagerly awaited.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it