Stereotactic radiotherapy for patients who initially presented with brain metastases from non-small cell carcinoma
Bibliographic record
Abstract
The purpose of this study was retrospectively to evaluate the effectiveness of fractionated stereotactic radiotherapy (FSRT) for patients who presented with intracranial metastases as the initial symptom of lung carcinoma. Fifteen patients with three or fewer brain metastases from lung carcinoma underwent FSRT receiving 42 Gy in 7 fractions or 40 Gy in 4 fractions from April 1999 to October 2002. Patients who developed new lesions were retreated with FSRT or whole brain radiotherapy (WBRT). Tumor control was obtained in 14 patients during a median period of 21.0 months (ranging from 11 to 34 months) with salvage radiotherapy whenever required. None died from brain metastasis. The median survival time was 7.0+/-3.0 months and 21.0+/-1.0 months for patients with or without extracranial metastases, respectively (p<0.01). Those who received treatment for the primary and mediastinal lymph nodes (22.0+/-1.4 months) survived longer than those who did not (8.0+/-2.5 months) (p<0.001). Overall high local control and high survival rates for the patients suggest that FSRT appears effective and safe in the treatment of patients who present with intracranial metastases as the initial symptom of lung carcinoma. After treatment of intracranial metastases, further therapy for the primary appears to improve survival rates.
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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) | 0.001 | 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) | 0.001 | 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 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".