Photodynamic therapy for the treatment of vertebral metastases in a rat model of human breast carcinoma
Bibliographic record
Abstract
The feasibility and efficacy of photodynamic therapy (PDT) for the treatment of vertebral metastases using a minimally invasive surgical technique adapted from vertebroplasty was evaluated in a rodent model. Initial validation included photosensitizer (benzoporphyrin-derivative monoacid-ring A) drug uptake studies and in vitro confirmation of PDT efficacy. Intracardiac injection of human MT-1 breast cancer cells was performed in athymic rats. In 63 rats that developed vertebral metastases 21 days post-inoculation, single treatment of PDT was performed using a parapedicular approach placing an optical fiber adjacent to targeted vertebrae. Two milligrams per kilogram of photosensitizer drug was administered intravenously followed by 150 mW of 690 nm light illumination at varying drug-light intervals and light energies. Histologic and immunohistochemical analysis was performed assessing treatment effect. Local tumor viability and growth was quantified by bioluminescence imaging pre and 48 h post-treatment. PDT demonstrated an ablative effect on vertebral metastases (light energies 25-150 J). The effect varied in proportion to light energy with the greatest anti-tumor effect observed at 150 J using a 3 h drug-light interval. 9/22 rodents in the 3 h drug-light interval developed hindlimb paralysis following treatment, consistent with drug uptake studies demonstrating an increase in spinal cord uptake 3h following drug administration. The observations of paralysis following treatment highlight the importance of closely defining the therapeutic window of treatment in safety and efficacy.
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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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| 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".