Predictive analysis of photodynamic therapy applied to esophagus cancer

F. Fanjul-Vélez; M. del Campo-Gutiérrez; N. Ortega-Quijano; J. L. Arce-Diego

doi:10.1117/12.781317

2 May 2008 Predictive analysis of photodynamic therapy applied to esophagus cancer

F. Fanjul-Vélez, M. del Campo-Gutiérrez, N. Ortega-Quijano, J. L. Arce-Diego

Proceedings Volume 6991, Biophotonics: Photonic Solutions for Better Health Care; 699117 (2008) https://doi.org/10.1117/12.781317
Event: SPIE Photonics Europe, 2008, Strasbourg, France

Abstract

The use of optical techniques in medicine has revolutionized in many cases the medical praxis, providing new tools for practitioners or improving the existing ones in the fight against diseases. The application of this technology comprises mainly two branches, characterization and treatment of biological tissues. Photodynamic Therapy (PDT) provides a solution for malignant tissue destruction, by means of the inoculation of a photosensitizer and irradiation by an optical source. The key factor of the procedure is the localization of the damage to avoid collateral harmful effects. The volume of tissue destroyed depends on the type of photosensitizer inoculated, both on its reactive characteristics and its distribution inside the tissue, and also on the specific properties of the optical source, that is, the optical power, wavelength and exposition time. In this work, a model for PDT based on the one-dimensional diffusion equation, extensible to 3D, to estimate the optical distribution in tissue, and on photosensitizer parameters to take into account the photobleaching effect is proposed. The application to esophagus cancer allows the selection of the right optical source parameters, like irradiance, wavelength or exposition time, in order to predict the area of tissue destruction.

Citation Download Citation

F. Fanjul-Vélez, M. del Campo-Gutiérrez, N. Ortega-Quijano, and J. L. Arce-Diego "Predictive analysis of photodynamic therapy applied to esophagus cancer", Proc. SPIE 6991, Biophotonics: Photonic Solutions for Better Health Care, 699117 (2 May 2008); https://doi.org/10.1117/12.781317

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