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
Notice bibliographique
Résumé
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.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,004 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,002 | 0,001 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,001 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,001 | 0,000 |
| Intégrité de la recherche | 0,001 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,003 | 0,001 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».