Impact of positron emission tomography (PET) in stage III non-small cell lung cancer (NSCLC): A prospective randomized trial (PET START)
Bibliographic record
Abstract
7548 Background: Patients with stage III NSCLC are potentially curable using combined modality therapy (CMT) with chemotherapy and radical radiation (RT). The use of PET-CT rather than conventional imaging (CI) may better identify patients for CMT by enhanced tumor staging and improved definition of RT treatment volumes. Methods: Patients with stage III NSCLC (based on histology/cytology, brain CT/MRI, CT thorax, CT/US abdomen, and bone scan) who were considered candidates for CMT were randomized to either PET-CT or CT for RT treatment planning. The primary outcome was the proportion of patients who did not receive CMT because their tumor was upstaged to Stage 4 or their intrathoracic tumor was too extensive for radical RT. Overall survival (OS) and alteration of RT treatment planning volume were secondary outcomes. Target sample size was 400 patients based on a hazard rate reduction of 30% in OS at 2 years in favor of PET-CT with 2-sided alpha = 0.05 and 80% power. We also postulated that 200 patients would be required to detect a 20% difference between arms for the primary endpoint. 5 centers in Ontario participated. Results: The trial commenced in August 2004. In November 2008 after a planned interim analysis for the primary outcome, the Data Safety Monitoring Board recommended stopping recruitment because of superior efficacy with PET-CT. 304 patients were randomized and 289 had analyzable data. 25 patients were unsuitable for CMT: 21 in the PET-CT arm (16 upstaged to Stage 4 and 5 unsuitable for radical RT) and 4 in the CT arm (unsuitable for radical RT). Thus, 21 of 140 (15%) patients in the PET-CT arm achieved the primary outcome compared with 4 of 149 (2.7%) in the CT arm, P= 0.0002. Conclusions: This is the first randomized trial in stage III NSCLC showing that PET-CT is superior to CT planning alone in selecting appropriate patients for CMT. Longer patient follow-up will determine potential impact on OS. 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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 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".