Short-course irradiation as adjuvant treatment of surgically resected single brain metastases
Bibliographic record
Abstract
2067 Background: Surgical resection followed by whole-brain irradiation is a standard treatment approach for patients with a single brain metastasis from solid tumours. As short-course hypofractionated irradiation has proven equivalent to more protracted schedules for the palliative treatment of brain metastasis, it has been commonly applied in the adjuvant setting. Methods: By reviewing our pathology database, we identified patients having undergone complete neurosurgical resection of a single brain metastasis followed by short-course (4–6 fractions) whole-brain irradiation. Irradiation was delivered using standard lateral-opposed megavoltage radiation portals. Local failure and new brain metastases were identified by chart and imaging study reviews. All outcomes were calculated actuarially. Results: Between March 2000 and August 2005, 50 patients received short-course whole-brain irradiation (20 Gy in 5 fractions in 41 of 50 cases) following complete surgical resection of a single brain metastasis. The most common primary malignancies were lung (66%), breast (14%), and cancer of unknown primary origin (10%). Median age was 60 years. Imaging studies were available for all patients and a preoperative MRI was reviewed in 94% of cases. Median follow-up for living patients was 30.0 months. The median overall survival was 10.92 months (29% at 2 years). Following radiation, failure at the surgical site was seen in 51% and 79% of patients at 1 and 2 years. New metastases elsewhere in the brain developed in 26% and 53% of these patients at 1 and 2 years. Conclusions: When calculated actuarially, local failure and new brain metastases were common following surgery and short-course whole-brain radiation therapy. In part, this may represent inefficacy of the short hypofractionated radiation scheme. Further investigation into the local and systemic treatment of these patients is warranted. No significant financial relationships to disclose.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 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 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".