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Published on: May 27, 2016
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Singlet oxygen dosimetry modeling for photodynamic therapy.
Xing Liang1, Ken Kang-Hsin Wang1, Timothy C Zhu1
1Department of Radiation Oncology, University of Pennsylvania, 3400 Civic Center Boulevard, Philadelphia, PA, USA 19104.
Summary
This study introduces a photodynamic therapy (PDT) dosimetry model to measure singlet oxygen (¹O₂) concentration, crucial for cancer treatment efficacy. The model, using finite-element method, accurately predicts ¹O₂ generation and concentration in vivo.
Area of Science:
- Biomedical Engineering
- Photodynamic Therapy
- Cancer Research
Background:
- Photodynamic therapy (PDT) is a key treatment for localized diseases, including cancer.
- Singlet oxygen (¹O₂) is the primary cytotoxic agent in PDT, making its concentration a critical dosimetry quantity.
- Accurate measurement of ¹O₂ concentration is essential for determining PDT treatment efficacy.
Purpose of the Study:
- To develop and validate a photodynamic therapy (PDT) dosimetry model for calculating singlet oxygen (¹O₂) concentration.
- To determine key photo-physiological parameters influencing ¹O₂ generation.
- To establish reacted ¹O₂ concentration as an explicit dosimetry quantity for PDT.
Main Methods:
- A PDT dosimetry model was implemented using the finite-element method (FEM) in COMSOL.
- The model integrates light transport diffusion equations and macroscopic kinetic equations for ¹O₂ generation.
- Five photo-physiological parameters were explicitly determined, and ¹O₂ concentration profiles were calculated iteratively using mice experimental data.
Main Results:
- The developed FEM model successfully predicted singlet oxygen (¹O₂) generation and concentration.
- Apparent reacted ¹O₂ concentration was obtained as an explicit PDT dosimetry quantity.
- Photo-physiological parameters and reacted ¹O₂ concentrations were determined for Photofrin and BPD Verteporfin sensitizers.
Conclusions:
- The validated PDT dosimetry model provides an accurate method for quantifying singlet oxygen (¹O₂) concentration.
- This approach enables precise PDT dosimetry, enhancing treatment efficacy and predictability.
- The model's ability to determine photo-physiological parameters offers insights into sensitizer performance.

