7 POPULATION-BASED PATTERNS OF RADIATION THERAPY USE FOR BRAIN METASTASIS PATIENTS IN BRITISH COLUMBIA FROM 2017-2022
Bibliographic record
Abstract
Abstract PURPOSE To characterize radiotherapy (RT) use for brain metastases (BM) in British Columbia (BC) from January 2017 to December 2022. METHODS Patients who received BM-directed RT were identified from the BC Cancer registry and RT delivery software. Patient demographics, disease characteristics, and RT details were collected for three periods: 2017–2018 (P1), 2019–2020 (P2), and 2021–2022 (P3). Chi-square and Kruskal-Wallis tests analyzed clinical factors associated with RT use. Kaplan-Meier overall survival was assessed. RESULTS Among 2,797 patients, 3,317 RT courses were delivered. The most common primaries were non-small cell lung cancer (NSCLC) (49%), small cell lung cancer (SCLC) (18%), breast (9%), and gastrointestinal (7%). The proportion of BM RT per year decreased for SCLC but increased for breast, gastrointestinal, melanoma, gynecologic, and sarcoma cancers. RT courses delivered increased across periods (755, 1,217, and 1,345, respectively), with an increasing proportion of patients receiving ≥2 RT courses (10%, 13%, 16%, p=0.05). The most common dose was 20Gy in 5 fractions. Whole-brain RT (WBRT) declined (75%, 61%, 49% from P1 to P3), while focal RT, particularly stereotactic RT (SRT), increased from 148 courses (P1) to 416 (P3). Median survival from diagnosis was 14 months, and from first BM RT was 5 months. One-year OS from diagnosis improved (42%, 56%, 63%, p<0.01), but OS from first BM RT remained stable (30%, 32%, 33%, p=0.12). CONCLUSION BM RT use in BC has increased, shifting from WBRT to focal RT, particularly SRT. While OS from diagnosis has improved, survival after BM RT remained stable.
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How this classification was reachedexpand
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 | 0.000 | 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 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".