Influence of the Human Skin Tumor Type in Photodynamic Therapy Analysed by a Predictive Model

Photodynamic Therapy (PDT) modeling allows the prediction of the treatment results depending on the lesion properties, the photosensitizer distribution, or the optical source characteristics. We employ a predictive PDT model and apply it to different skin tumors. It takes into account optical radiat...

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Main Authors: I. Salas-García, F. Fanjul-Vélez, J. L. Arce-Diego
Format: Article
Language:English
Published: Wiley 2012-01-01
Series:International Journal of Photoenergy
Online Access:http://dx.doi.org/10.1155/2012/759205
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author I. Salas-García
F. Fanjul-Vélez
J. L. Arce-Diego
author_facet I. Salas-García
F. Fanjul-Vélez
J. L. Arce-Diego
author_sort I. Salas-García
collection DOAJ
description Photodynamic Therapy (PDT) modeling allows the prediction of the treatment results depending on the lesion properties, the photosensitizer distribution, or the optical source characteristics. We employ a predictive PDT model and apply it to different skin tumors. It takes into account optical radiation distribution, a nonhomogeneous topical photosensitizer spatial temporal distribution, and the time-dependent photochemical interaction. The predicted singlet oxygen molecular concentrations with varying optical irradiance are compared and could be directly related with the necrosis area. The results show a strong dependence on the particular lesion. This suggests the need to design optimal PDT treatment protocols adapted to the specific patient and lesion.
format Article
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institution OA Journals
issn 1110-662X
1687-529X
language English
publishDate 2012-01-01
publisher Wiley
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series International Journal of Photoenergy
spelling doaj-art-e435156738894b2e94335583e15dd5c12025-08-20T02:21:34ZengWileyInternational Journal of Photoenergy1110-662X1687-529X2012-01-01201210.1155/2012/759205759205Influence of the Human Skin Tumor Type in Photodynamic Therapy Analysed by a Predictive ModelI. Salas-García0F. Fanjul-Vélez1J. L. Arce-Diego2Applied Optical Techniques Group, TEISA Department, University of Cantabria, Avenida de los Castros S/N, 39005 Santander, SpainApplied Optical Techniques Group, TEISA Department, University of Cantabria, Avenida de los Castros S/N, 39005 Santander, SpainApplied Optical Techniques Group, TEISA Department, University of Cantabria, Avenida de los Castros S/N, 39005 Santander, SpainPhotodynamic Therapy (PDT) modeling allows the prediction of the treatment results depending on the lesion properties, the photosensitizer distribution, or the optical source characteristics. We employ a predictive PDT model and apply it to different skin tumors. It takes into account optical radiation distribution, a nonhomogeneous topical photosensitizer spatial temporal distribution, and the time-dependent photochemical interaction. The predicted singlet oxygen molecular concentrations with varying optical irradiance are compared and could be directly related with the necrosis area. The results show a strong dependence on the particular lesion. This suggests the need to design optimal PDT treatment protocols adapted to the specific patient and lesion.http://dx.doi.org/10.1155/2012/759205
spellingShingle I. Salas-García
F. Fanjul-Vélez
J. L. Arce-Diego
Influence of the Human Skin Tumor Type in Photodynamic Therapy Analysed by a Predictive Model
International Journal of Photoenergy
title Influence of the Human Skin Tumor Type in Photodynamic Therapy Analysed by a Predictive Model
title_full Influence of the Human Skin Tumor Type in Photodynamic Therapy Analysed by a Predictive Model
title_fullStr Influence of the Human Skin Tumor Type in Photodynamic Therapy Analysed by a Predictive Model
title_full_unstemmed Influence of the Human Skin Tumor Type in Photodynamic Therapy Analysed by a Predictive Model
title_short Influence of the Human Skin Tumor Type in Photodynamic Therapy Analysed by a Predictive Model
title_sort influence of the human skin tumor type in photodynamic therapy analysed by a predictive model
url http://dx.doi.org/10.1155/2012/759205
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