Description Module
The Description Module contains narrative descriptions of the clinical trial, including a brief summary and detailed description. These descriptions provide important information about the study's purpose, methodology, and key details in language accessible to both researchers and the general public.
Description Module path is as follows:
Study -> Protocol Section -> Description Module
Description Module
Ignite Creation Date:
2025-12-24 @ 6:52 PM
Ignite Modification Date:
2025-12-24 @ 6:52 PM
NCT ID:
NCT02504957
Brief Summary:
Photodynamic therapy (PDT) is a palliative treatment for malignant biliary obstruction. The aim of this study is to assess the feasibility and safety of this technique in the context of a nationwide retrospective analysis.
Detailed Description:
INTRODUCTION
Malignant biliary obstruction is a life threatening condition in patients suffering from primary or secondary bile duct malignancies. Palliative therapies aim to prevent complications associated with the obstruction. Photodynamic therapy (PDT) aims to reduce the local tumor mass by inducing tumor necrosis after light activation of a photosensitizer during endoscopic retrograde cholangiography (ERC).
STUDY AIMS
The aim of the present study is to evaluate the feasibility and safety of PDT with polyhematoporphyrin, the photosensitizer most commonly used for PDT in Austria, in the context of a nationwide analysis.
METHODS
This retrospective study will be conducted at seven Austrian referral centers for bilio-pancreatic endoscopy. The study protocol was approved by the internal review board of the Medical University of Vienna (EK 1448/2012). Patients who underwent PDT with polyhematoporphyrin as therapy for malignant biliary obstruction after 2004 will be identified using examination report databases. Examination reports and patient charts will be analyzed to assess underlying diseases, oncological co-therapies, intra-procedural adverse events, hospital stay, adverse events within 30 days post intervention as well as 30-day, 90-day, and overall mortality. All patient data will be de-identified using pseudonymization prior to any further processing. Descriptive statistics will be used to present the study parameters. Survival will be assessed using Kaplan-Meier statistics and compared between the different underlying tumor entities using the Log Rank test. Cox regression will be used to identify independent predictors of survival. Significant factors at univariate analysis will be entered into multivariate testing. P-values less than 0.05 will be considered significant. SPSS version 23.0 will serve for data analysis.
Study:
NCT02504957
Study Brief:
Protocol Section:
NCT02504957