Patterns of practice in radiation therapy for non-small cell lung cancer among members of American Society of Therapeutic Radiology and Oncology
Bibliographic record
Abstract
7693 Purpose: To investigate the dominant pattern of current practice in radiation therapy (RT) for lung cancer among members of American Society of Therapeutic Radiology and Oncology (ASTRO). Methods: A 35-item survey was designed by a panel of 8 board certified radiation oncologists regarding RT for lung cancer. Surveys were sent through email to 3,800 radiation oncologist members on September 10, 2006, with the results collected online on December 10, 2006. Here we report results on radiation decisions for non-small cell lung cancer (NSCLC). Results: The response rate was 19% (n = 727). The respondents saw an average of 8 consults (ranged 1–25) monthly during the survey time (summing up to a total of >60,000 new cases yearly). For stage I peripherally located NSCLC, 33%, 10% and 20% of respondents reported conventional fractionated, hypofractioned and stereotactic RT, respectively. Another 25% of respondents would have offered stereotactic RT if this technique were available at their center. For stage I centrally located tumors, 78% of respondents did not agree with, but 10% selected, stereotactic RT. For stage II and III, 76% of respondents selected 60–70 Gy in 1.8–2 Gy with chemotherapy. With regard to the combined modality approach for stage II and III disease, 76–77% of respondents selected concurrent chemoRT followed by adjuvant chemotherapy, and 11–16% sequential followed by concurrent chemoRT for patients with good performance status. For stage IV NSCLC with remarkable local disease, the consideration of RT ranged from 0 Gy, 3 Gyx10, 3 Gyx15, 2.5 Gyx20, to 2 Gyx30 in 27%, 17%, 8%, 13%, and 21% of respondents, respectively. Conclusions: The dominant pattern of practice for stage II/III disease is concurrent chemoRT, consistent with results of phase III trials. The treatment decisions for stage I and IV disease are diverse, partially due to technology advancement and the lack of large phase III trials. No significant financial relationships to disclose.
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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 | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".