Efficacy of Photodynamic Therapy with Chlorine-Based Photosensitizer in the Treatment of Basal Cell Carcinomas
Bibliographic record
Abstract
The aim of this study is to evaluate a safety and antitumor efficacy of photodynamic therapy (PDT) with chlorine-based photosensitizer (PS) for treatment patients with basal cell skin carcinomas (BCC).
 Material and Methods: The work was performed on the basis of the Department of hyperthermia and photodynamic therapy. The object of the study were 172 patients with a verified diagnosis of BCC (T1N0M0, I stage), who received treatment from 2007 to 2022. PS «Photolon» (RUE «Belmedpreparaty», Republic of Belarus) was administrated intravenously at a dose of 2.0-2.5 mg/kg. The session of PDT was performed 2.5-3 h after intravenous injection of PS using semiconductor lasers (λ=660±5 nm) with exposure doses 50-250 J/cm² and power density – 0.15-0.5 W/cm². Frequency and severity of side effects after treatment session was assessed based on the criteria CTCAE (Version 4.03; 2010). The antitumor efficacy was evaluated 3 months after treatment. Clinical outcome was evaluated visually and morphologically by cytological or histopathological examination. Performance criteria were as follows (according to WHO, 1979).
 Results: The phenomenon of skin phototoxicity due to violation of the light regime (hyperemia, burning, slight swelling of the soft tissues of the face; CTCAE, I-II grades) was registered in 5.8% of cases (n=10). Serious adverse reactions (anaphylactic shock, Quincke's edema, severe pain syndrome) after the administration of PS and photoirradiation were not identified. Complete and partial regressions of tumors was observed in 93.0% and 4.7% of patients, respectively. The objective answer was 97.7%. The frequency of local relapses of the disease 1, 2, 3, 4 and 5 years after PDT was 3.1%, 3.1%, 4.6%, 4.6% and 6.9%, respectively.
 Сonclusion: PDT is a well-tolerated and highly effective therapeutic option in patients with BCC.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 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".