Toxicity in patients receiving radiotherapy for ultracentral stage I non-small cell lung cancer: A secondary analysis of the LUSTRE randomized trial
Bibliographic record
Abstract
BACKGROUND AND PURPOSE: Stereotactic body radiotherapy (SBRT) carries potentially higher risks for ultracentral (UC) NSCLC with limited prospective data to guide decision making. We conducted a secondary analysis from a randomized trial of SBRT and conventionally hypofractionated radiation (CRT) to assess these risks. MATERIALS AND METHODS: Patients (n = 233) with medically inoperable stage I NSCLC were recruited from 2014 to 2020. Patients with UC targets directly overlapping the proximal bronchial tree (PBT) were identified. The primary objective was the occurrence of related grade 3-5 toxicity > 3 months following radiation. Secondary endpoints included local control, survival, and evaluation of PBT dose and its association with late toxicity. RESULTS: Thirty UC tumors were identified (23 - SBRT 60 Gy/8 fractions, 7 - CRT 60 Gy/15 fractions). Median age was 72 years, and median tumor size was 2.8 cm. Most patients (67 %) had histologically confirmed NSCLC. At a median follow-up of 2.9 years, 3 and 1 patients developed grade 3 and 5 toxicity respectively (all SBRT). 3-year local control was 85 %. Mean PBT dose (converted to 2 Gy dose equivalents) was higher in patients with grade ≥ 3 toxicity, particularly for 4 cc (105.5 vs 51.8 Gy, p = 0.0004), 5 cc (84 vs 46.1 Gy, p = 0.003), and volumetric doses (V65 - V100Gy). The patient with grade 5 toxicity had the highest 5 cc dose (117 Gy), V90Gy (8.2 cc), and V100Gy (7 cc). CONCLUSIONS: SBRT for UC NSCLC provides good local control but carries a high rate of late grade 3-5 toxicity. An apparent association between toxicity and PBT volumetric dose was observed, which should be considered if SBRT is offered.
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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 | 0.005 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.004 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".