Photosensitizer fluorescence emission during photodynamic therapy applied to dermatological diseases

Photodynamic Therapy (PDT) is an optical treatment modality that allows malignant tissue destruction. It is based on the administration of a photosensitizer and the posterior irradiation by an optical source. Photosensitizer molecules absorb the excitation light photons triggering a series of photochemical reactions in the presence of oxygen in the target tissue. During such interactions it is produced the de-excitation of the photosensitizer molecules in the singlet excited state which return to their minimum energy state by emitting fluorescence photons. These days, there are fixed clinical PDT protocols that make use of a particular optical dose and photosensitizer amount. However treatment response varies among patients and the type of pathology. In order to adjust an optimal dosimetry, the development of accurate predictive models plays an important role. The photosensitizer fluorescence can be used to estimate the degradation of the photoactive agent and as an implicit dosimetric measurement during treatment. However it is complex to know the fluorescence dependence with the depth in the tumor from observed fluorescence in the pathology surface. We present a first approach to predict the photosensitizer fluorescence dependence with depth during the PDT treatment applied to a skin disease commonly treated in the dermatological clinical practice. The obtained results permit us to know the photosensitizer temporal fluorescence evolution in different points of the tumor sample during the photochemical reactions involved in PDT with a predictive purpose related to the treatment evolution. The model presented also takes into account the distribution of a topical photosensitizer, the propagation of light in a biological media and the subsequent photochemical interactions between light and tissue. This implies that different parameters related with the photosensitizer distribution or the optical source characteristics could be adjusted to provide a specific treatment to a particular pathology.

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