Metabolic Tumour Volume Is Prognostic in Patients with Non-Small-Cell Lung Cancer Treated with Stereotactic Ablative Radiotherapy
Bibliographic record
Abstract
Introduction: Stereotactic ablative radiotherapy (SABR) is a relatively new technique for the curative-intent treatment of patients with inoperable early-stage non-small-cell lung cancer (NSCLC). Previous studies have demonstrated a prognostic value for positron emission tomography–computed tomography (PET/CT) parameters, including maximal standardized uptake value (SUVmax), metabolic tumour volume (MTV), and total lesion glycolysis (TLG) in lung cancer patients. We aimed to determine which pet/ct parameter is most prognostic of local control (LC) and overall survival (OS) in patients treated with SABR for NSCLC. Methods: We conducted a retrospective review of patients treated with SABR for stage i inoperable NSCLC at BC Cancer between 2009 and 2013. The Akaike information criterion was used to compare the prognostic value of the various PET/CT parameters. Results: The study included 134 patients with a median age of 76 years. Median tumour diameter was 2.2 cm, gross tumour volume was 8.1 mL, SUVmax was 7.9, MTV was 2.4 mL, and tlg was 10.9 SUV•mL. The 2-year LC was 92%, and os was 66%. On univariate and multivariate analysis, imaging variables including tumour size, gross tumour volume, SUVmax, MTV, and tlg were all associated with worse LC. Tumour size was not associated with significantly worse OS, but other imaging variables were. The PET/CT parameter most prognostic of LC was MTV. Compared with SUVmax, TLG and MTV were more prognostic of OS. Conclusions: In patients with early-stage NSCLC treated with SABR, MTV appears to be prognostic of LC and OS.
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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".