Photodynamic Therapy for the Treatment of Vertebral Metastases: A Phase I Clinical Trial
Bibliographic record
Abstract
Abstract Purpose: Vertebroplasty (VP) and balloon kyphoplasty (KP) are minimally invasive stabilization procedures for pathologic vertebral compression fractures (VCF). Concurrent administration of photodynamic therapy (PDT) as a tumor-ablative modality has yet to be studied in humans as a potential complement to improved mechanical stability that is afforded by vertebral cement augmentation (VCA). Patients and Methods: This first-in-human trial used a single 6 mg/m2 dose of the clinical photosensitizer Visudyne with escalating laser light doses. Following a cohort of light-only controls (n = 6), the drug and light treatment groups (n = 6 each) were 50, 100, 150, and 200 J/cm. VCA was performed within 15 minutes following PDT. Patients were clinically reviewed at 1 and 6 weeks. The primary outcome measure was safety from a neurologic perspective. Results: Thirty patients comprising a variety of primary tumors were treated with PDT and either KP or VP. Vertebral PDT was technically feasible and delivered in all study patients. No dose groups showed significant increases in pain as defined by the generic SF-36 as well as disease-specific EORTC-QLQ-BM22 and EORTC-QLQ-C15-PAL questionnaires. The 50 and 100 J/cm groups showed the most significant pain reduction (P < 0.05). Twelve (40%) patients experienced complications during the study including 3 patients with further vertebral fracture progression by 6 weeks despite VCA. No complications were directly attributed to PDT. Conclusions: Using the parameters described, vertebral PDT as an adjunct to VCA is safe from a pharmaceutical and neurologic perspective. The results of this trial motivate scale-up study evaluating potential PDT efficacy in vertebral metastatic treatment.
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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 | 0.008 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 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) | 0.003 | 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".