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Record W4416195853 · doi:10.25251/64mgd212

Red Light Photodynamic Therapy with 10% Aminolevulinic Acid Gel Showed Robust Efficacy for the Treatment of Superficial BCC in a Randomized, Vehicle-Controlled, Double-Blind, Multicenter Phase III Study

2025· article· W4416195853 on OpenAlexaff
Todd Schlesinger, Michael Chapman, John H. Tu, Joel L. Cohen, John Strasswimmer, Nathalie C. Zeitouni, Abel Torres, S. Jazayeri, Mitchel P. Goldman, Sherrif F. Ibrahim, Edward Lain, Megan P Couvillion, Suzanne Bruce, Vivian Laquer, C. William Hanke, David Ozog, Jane Schneider, Orit Markowitz, Brian Berman, Mark S. Nestor, Michael H. Gold, Girish S. Munavalli, Douglass W. Forsha, Daniel M. Siegel, David Mrohs, Paul Schmitz, Ruth Schäning, Nicole Pospiech, Jon Lyons, M. Foguet, Hermann Lübbert, David M. Pariser

Bibliographic record

VenueSKIN The Journal of Cutaneous Medicine · 2025
Typearticle
Language
FieldMedicine
TopicNonmelanoma Skin Cancer Studies
Canadian institutionsBell (Canada)
Fundersnot available
KeywordsPhotodynamic therapyLesionBasal cell carcinomaTarget lesionOcclusionBasal cellClinical trial

Abstract

fetched live from OpenAlex

Introduction: Basal cell carcinoma (BCC) is often treated surgically; however, depending on lesion size, location, or patient preference, surgery may not be the best option. Photodynamic therapy (PDT) has emerged as one alternative treatment for low-risk tumors like superficial BCC (sBCC). With this phase III study, we evaluated the efficacy and safety of red light PDT with 10% 5-aminolevulinic acid (ALA) gel versus vehicle in participants with sBCC. Methods: This phase III, multicenter, randomized, double-blind, vehicle-controlled, parallel group study (NCT03573401) was conducted at 21 U.S. centers. Eligible participants had at least one naïve, histologically confirmed sBCC on the face, scalp, neck/trunk and/or extremities. One lesion per participant was defined as the main target lesion (MTL) for mandatory final excision. Additional lesions were treated but not excised. Either 10% ALA gel (BF-200 ALA, Ameluz®) or vehicle was applied to the lesions and incubated under occlusion for 3 to 3.5 hours, followed by illumination with BF-RhodoLED® (10 min, 635 nm, 37 J/cm²). Treatment was administered in PDT cycles (2 PDT sessions per cycle) with a maximum of 2 PDT cycles per participant. Clinical and histological assessments were performed 12 weeks after start of the last PDT cycle. Results: Of the 187 randomized participants, 145 received 10% ALA gel and 42 received vehicle. Treatment with ALA gel resulted in significantly higher clearance rates compared with vehicle across all respective endpoints (p<0.0001 for all clearances). Clinical clearance of MTLs was achieved in 83.4% of patients in the ALA group versus 21.4% in the vehicle group. Histological clearance of MTLs was similarly superior with ALA gel (75.9% vs. 19.0%). Composite clearance of MTLs, defined as both clinical and histological clearance of MTLs, was observed in 65.5% of ALA-treated participants compared with only 4.8% in the vehicle group. Complete clinical clearance was achieved by 82.1% of participants treated with the ALA gel versus 21.4% of participants treated with vehicle. Combined clinical and histological clearance was achieved by 64.1% of participants in the ALA group versus 4.8% in vehicle. Overall clinical lesion clearance was also higher with ALA (82.6% vs. 21.6%). Esthetic outcomes were favorable in both groups but consistently better with ALA gel. Investigators rated 89.3% of ALA-treated lesions as having a very good or good cosmetic result, compared with 58.0% of vehicle-treated lesions. Participant-reported satisfaction was high regardless of treatment group, with 88.1% of lesions treated with ALA gel and 74.0% of vehicle-treated lesions rated as very good or good. No previously unknown adverse reaction occurred. Conclusion: PDT with 10% ALA gel demonstrated significantly higher clearance rates versus vehicle, with favorable safety and aesthetic outcomes. These results support red light PDT with 10% ALA gel as a highly suitable non-surgical option for sBCC, particularly for multiple or large lesions, in low-risk areas, when patients either decline surgery or are not a good candidate for surgery. The study was sponsored by Biofrontera Bioscience GmbH.

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 imitation

Not 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.

metaresearch head score (Codex)0.006
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesMeta-epidemiology (narrow)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.084
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0080.001
Bibliometrics0.0010.001
Science and technology studies0.0010.002
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.031
GPT teacher head0.335
Teacher spread0.304 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designRandomized trial
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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