Prognostic Significance of Standardized Uptake Value of PET Scan in Non-Small Cell Lung Cancer
Bibliographic record
Abstract
Background: To determine if the maximum standardized uptake value (SUVmax) of the primary tumor as determined by preoperative (18)F-fluoro-2-deoxyglucose ((18)F-FDG) positron emission tomography (PET) is an independent predictor of overall survival, mediastinal lymph node metastasis, and stage in patients with non-small cell lung cancer (NSCLC). Methods: A retrospective review of 1033 patients with stage I-IV histologically proven NSCLC who had an (18)F-FDG PET done between 2005 and 2011 for staging before receiving therapy was performed. SUVmax of primary NSCLC was measured and correlated with tumor characteristics, lymph node involvement, cancer stage and overall survival. The patients were divided into three groups according to their SUVmax value: group I SUVmax 10. The primary outcome was survival and recurrence rate, compared using Log Rank Test. Results: The median duration of follow up was 675 days (22.5 months). The overall survival at two years for group I was 88%, group II 60% and group III 53%, significantly different among the three groups (p-value < 0.0001). Earlier stage lung cancer was found in patients with lower SUVmax values: in group I, 73% of patients had stage I cancer and only 4% had stage IV. The rate of ipsilateral mediastinal lymph node involvement (N2) in group I was 12.9% compared to 44.4% in group III (p-value < 0.0001). The overall survival was significantly different between group I and group II (Hazard Ratio (HR) 3.6; 95% C.I 2.2 - 5.7 and a p-value < 0.0001) and between group II and group III (HR 1, 4; 1.1 - 1.8 and a p-value = 0.013). Conclusion: There was a statistically significant difference in the overall survival, mediastinal lymph node metastases, and higher cancer stage with greater values of SUVmax on PET scan in patients with NSCLC.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| 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".