Computed tomography to assess pulmonary injury associated with concurrent chemo-radiotherapy for inoperable non-small cell lung cancer.
Bibliographic record
Abstract
OBJECTIVE: To characterize serial computed tomography (CT) findings of pulmonary injury after a uniform regimen of concurrent chemo-radiotherapy in inoperable non-small cell lung cancer, and to compare the radiation-induced lung toxicity with other concurrent chemo-radiation regimens. METHODS: Twenty-four patients with advanced non-small cell lung cancer received 2 induction cycles of cisplatin and vinblastine, followed by 2 further cycles of cisplatin and vinblastine, concurrent with 60 Gy radiation at 2 Gy per fraction. Radiation-induced lung injury in the acute and chronic phases was assessed by serial CT scans and compared with preradiation baseline scans. Acute radiation pneumonitis was evaluated using the Common Toxicity Criteria, and chronic radiation fibrosis was graded according to the European Organisation for Research and Treatment of Cancer--Radiation Therapy Oncology Group Scale. RESULTS: Seventeen (81%) patients had characteristic CT findings of radiation-induced pulmonary damage, which were confined to the radiation ports. Although patchy nonhomogeneous and air-space opacities characterized acute radiation pneumonitis, and homogeneous opacities with loss of volume were typical for chronic fibrosis, ground-glass opacities were found frequently in both phases. Acute radiation pneumonitis grade 1 was seen in 29% and grade 2 in 9.5%. Chronic radiation fibrosis grades 1, 2 and 3 were found in 14%, 33% and 19% of the patients respectively. Median survival time was 13 months. CONCLUSION: CT enables detailed evaluation of radiation-induced pulmonary injury after concurrent chemo-radiation for inoperable non-small cell lung cancer. Although survival time with the present regimen is comparable to other concurrent chemo-radiation regimens, a high incidence of radiation injury was found, though the severity was not life threatening.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| 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".