Endobronchial photodynamic therapy for lung cancer
Bibliographic record
Abstract
BACKGROUND AND OBJECTIVE: Endobronchial photodynamic therapy (PDT) is a minimally invasive technique for the palliation of major airway obstruction from lung cancer, and for the treatment of endobronchial microinvasive lung cancer. STUDY DESIGN: Results of reported clinical trials were compared, and the author's preliminary results with second generation photosensitizers were also reviewed. RESULTS: A review of the clinical experience with endobronchial PDT is provided. Potential advantages of PDT include the duration of palliation achieved through the delayed cellular effects of PDT within tumor. Side-effects from FDA-approved photosensitizer (Photofrin, Porfimer sodium, Axcan Scandipharm, Montreal, Quebec) include skin photosensitivity. HPPH (2-[1-hexyloxyethyl]-2 devinyl pyropheophorbide) is an example of a second-generation photosensitize that shows promise in the treatment of lung cancer, and appears to be free from significant skin photosensitivity. CONCLUSION: PDT is an effective tool for the palliation of endobronchial lung cancers which obstruct the central airways and is also effective for the treatment of central microinvasive carcinoma and carcinoma in situ of the central airways.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.002 |
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".