NCOG-01. RADIATION THERAPY MANAGEMENT FOR METASTATIC DISEASE TO THE BRAIN IN NSCLC PATIENTS – SURVIVAL OUTCOMES OF THE BRITISH COLUMBIA POPULATION 1996-2016
Bibliographic record
Abstract
Abstract BACKGROUND Radiation therapy (RT) for brain metastases in patients with non-small cell lung cancer (NSCLC) has undergone considerable evolution but remains controversial. METHODS Records for 2212 patients with NSCLC who received RT to the brain at one of six locations between 1996-2016 were retrospectively analyzed. Data were obtained from the institutional cancer registry following ethics approval. Overall survival (OS) was calculated from diagnosis of lung cancer to death, and Kaplan-Meier curves were compared by Log-rank and Cox regression. RESULTS Median OS was 11.8 months (95%CI 11-12.6 months). Median age was 65, and 1254 patients (57%) were female. ECOG performance status at diagnosis was 0 (12%), 1 (31%), 2 (17%), 3 (14%), 4 (2%), and unknown (24%). Younger age (HR=0.99, 95%CI 0.98-0.99), female sex (HR=0.80, 95%CI 0.74-0.88), and better ECOG performance status (p< 0.0001) were associated with superior OS. There was better OS in 932 patients (42%) that received chemotherapy (HR=0.63, 95%CI 0.58-0.69) and 603 (27%) that underwent surgery (HR=0.55, 95%CI 0.50-0.61). 2004 patients (91%) received 1 RT course, while 208 (9%) received multiple courses in various combinations of whole brain RT (WBRT) and stereotactic radiosurgery (SRS). SRS (HR=0.70, 95%CI 0.57-0.86) and multiple RT courses (HR=0.55, 95%CI 0.46-0.65) were associated with better OS. Median time from primary diagnosis to brain RT was 2.5 months, and from end of first brain RT to death was 3.5 months. A longer diagnosis to brain RT interval was associated with better OS (HR=0.95, 95%CI 0.95-96). CONCLUSIONS NSCLC patients with brain metastases continue to face poor prognosis, particularly when lung cancer diagnosis to first brain RT interval is short. Our analysis revealed younger age, female sex, and better ECOG performance status as predictors of superior survival. SRS and multiple RT courses also revealed superior survival, likely the result of patient selection and hence interpreted with caution.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.004 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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".