Estimation of biological parameters of cutaneous ulcers caused by leishmaniasis in an animal model using diffuse reflectance spectroscopy

Deivid Botina, Ricardo Franco, Javier Murillo, July Galeano, Artur Zarzycki, Maria C. Torres-Madronero, Camilo Bermúdez, Jaime Montaño, Johnson Garzón, Franck Marzani, Sara M. Robledo

    Resultado de la investigación: Contribución a una revistaArtículorevisión exhaustiva

    3 Citas (Scopus)

    Resumen

    Cutaneous leishmaniasis (CL) is a neglected tropical disease that requires novel tools for its understanding, diagnosis, and treatment follow-up. In the cases of other cutaneous pathologies, such as cancer or cutaneous ulcers due to diabetes, optical diffuse reflectance-based tools and methods are widely used for the investigation of those illnesses. These types of tools and methods offer the possibility to develop portable diagnosis and treatment follow-up systems. In this article, we propose the use of a three-layer diffuse reflectance model for the study of the formation of cutaneous ulcers caused by CL. The proposed model together with an inverse-modeling procedure were used in the evaluation of diffuse-reflectance spectral signatures acquired from cutaneous ulcers formed in the dorsal area of 21 golden hamsters inoculated with Leishmanisis braziliensis. As result, the quantification of the model’s variables related to the main biological parameters of skin were obtained, such as: diameter and volumetric fraction of keratinocytes, collagen; volumetric fraction of hemoglobin, and oxygen saturation. Those parameters show statistically significant differences among the different stages of the CL ulcer formation. We found that these differences are coherent with histopathological manifestations reported in the literature for the main phases of CL formation.

    Idioma originalInglés
    Número de artículo4674
    PublicaciónSensors (Switzerland)
    Volumen19
    N.º21
    DOI
    EstadoPublicada - 1 nov. 2019

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    © 2019 by the authors. Licensee MDPI, Basel, Switzerland.

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