Presentation + Paper
8 February 2017 Overview of computational simulations for PDT treatments based on optimal choice of singlet oxygen
Author Affiliations +
Abstract
Effective photodynamic therapy (PDT) treatment planning and treatment monitoring requires computer simulations of both light transport in tissue and photosensitizer (PS) photophysics to accurately estimate singlet oxygen. Simply using fixed prescribed values of light dose (fluence) or PDT dose (the time integral of ‘PS concentration’ times the ‘fluence rate’) – one value for all patients – does not account for differences in the amount of singlet oxygen formed when fluence rates change or patient tissue parameters change. We will focus on singlet oxygen dose which is calculated by solving the photokinetics rate equations and which determines the effectiveness of the subsequent reactions of singlet oxygen with the cancer target and the negative effect of PS photobleaching.
Conference Presentation
© (2017) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Karl Beeson, Evgueni Parilov, and Mary Potasek "Overview of computational simulations for PDT treatments based on optimal choice of singlet oxygen", Proc. SPIE 10047, Optical Methods for Tumor Treatment and Detection: Mechanisms and Techniques in Photodynamic Therapy XXVI, 100470R (8 February 2017); https://doi.org/10.1117/12.2252552
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CITATIONS
Cited by 2 scholarly publications.
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KEYWORDS
Oxygen

Photodynamic therapy

Tumors

C++

Cancer

Computer simulations

MATLAB

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