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Updated: May 17, 2026
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An In-House-Built and Light-Emitting-Diode-Based Photodynamic Therapy Device for Enhancing Verteporfin Cytotoxicity in a 2D Cell Culture Model
Published on: January 13, 2023
Modelling fluorescence in clinical photodynamic therapy
Ronan M Valentine1, Sally H Ibbotson, Kenny Wood
1Photobiology Unit, Ninewells Hospital and Medical School, University of Dundee, Dundee, DD1 9SY, UK. r.y.valentine@dundee.ac.uk
Summary
This study explores how fluorescence and computational modeling, specifically Monte Carlo radiation transfer (MCRT) modeling, can improve photodynamic therapy (PDT) protocols. Combining these methods aids in optimizing treatment planning and patient management for better outcomes.
Area of Science:
- Biophysics
- Medical Physics
- Photodynamic Therapy Research
Background:
- Interactions between non-ionizing radiation and biological systems are complex.
- Accurate dosimetry is crucial for effective photodynamic therapy (PDT) protocols.
- Evidence-based recommendations are increasingly important for patient care in PDT.
Purpose of the Study:
- To investigate the integration of fluorescence detection and Monte Carlo radiation transfer (MCRT) modeling in clinical PDT.
- To enhance the understanding of light propagation in biological tissues for improved treatment planning.
- To explore the use of fluorescence and photobleaching for diagnosis and monitoring during PDT.
Main Methods:
- Utilized Monte Carlo radiation transfer (MCRT) modeling for light propagation simulation.
- Combined empirical clinical data from fluorescence photobleaching with computational modeling.
- Analyzed fluorescence properties for detection and monitoring of pre-malignant and malignant conditions.
Main Results:
- Demonstrated the utility of fluorescence in clinical PDT for diagnosis and treatment monitoring.
- Showcased how MCRT modeling aids in understanding light-tissue interactions.
- Highlighted the potential of integrating empirical data with computational models for dosimetry optimization.
Conclusions:
- Combining fluorescence data with MCRT modeling offers a powerful approach to optimize PDT dosimetry.
- Improved understanding of light propagation in tissues positively impacts clinical PDT treatment planning.
- This integrated approach supports evidence-based patient diagnosis, treatment, and management strategies.
