Mr. Raichanny de la Nuez-Díaz Profile

Raichanny de la Nuez-Díaz

at Univ de Cantabria

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Proceedings Article | 5 March 2021 Presentation + Paper

3D optimal light distribution in brain tumors for photodynamic therapy

R. de la Nuez-Díaz, J. L. Arce-Diego, F. Fanjul-Vélez

Proceedings Volume 11640, 116400D (2021) https://doi.org/10.1117/12.2578313

KEYWORDS: Tumors, Photodynamic therapy, Brain, Tissues, Tissue optics, Phototherapy, Magnetic resonance imaging, Photon transport, Optical properties, Monte Carlo methods

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Photodynamic therapy is a treatment technique that takes advantage of the effects induced by the body itself, together with a photosensitizer, to destroy unwanted tumor volumes with high accuracy and low invasiveness. This study analyzes treatment volume by 3D optical distributions in a realistic way from MRI images. First of all a volumetric model of a real head is built from MRI images. Optical distributions generated by the source over the tissue are considered at different brain tumor stages, and with multitude of processes that occur within the volume to be treated. By means of Monte Carlo we can estimate the photonic density that is absorbed by the tissues, whose optical properties are previously collected. This application considers that a reasonable time has passed for the photosensitizer to have reached the area under study, and that there is a minimum concentration in adjoining areas during radiation exposure. With this approach it is possible to estimate the level of radiation exposure and the affected volume. This is very relevant due to the fact that, as the radiation increases, different areas with different energy densities appear. This makes it much more complicated to apply a certain known optimal radiation on the treatment volume. A non-optimal high radiation density would damage healthy tissue, while, on the contrary, a non-optimal low radiation would not bring unwanted tissue to necrosis or apoptosis for tumor destruction, generating recurrence. This tool could be of great interest in treatment planning.

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