BECAS
ETCHEVERRY MarÍa Eugenia
artículos
Título:
Applications in Light-induced Spectroscopy with violet LED lamp: Autofluorescence
Autor/es:
ME, ETCHEVERRY; MIGUEL PASQUALE; MARIO GARAVAGLIA
Revista:
Journal of Clinical Case Reports Medical Images and Health Sciences
Editorial:
Frisco, Texas 75070, USA
Referencias:
Lugar: Texas; Año: 2023 vol. 5
Resumen:
The main objective of the present study was to develop a violet LED light sourcesuitable for medical application devoted to the diagnostic and treatment ofnon-melanoma skin cancers. For this propose, we constructed a 12 W violetLED lamp (with maximum emission peak at 405 nm) made up of four mobile3 W LED. The LED lamp was characterized employing a spectrometer coupledto an optical fiber. The irradiance, the radiant power and the radiant intensityfor different distances between the lamp and the detector was assessed. Datawere compared with a simulated LED lamp by using the Zemax optic softwarefor the realization of luminaries with the desired characteristics as required formedical applications.The developed lamp in combination with a portable spectrometer was employedunder medical supervision to detect differences in the emission spectrum ofskin suspicious regions and healthy ones of a patient with non-melanoma skincancer. The light of the LED lamp was concentrated in the examined regionby means of the proper focusing of the four individual LEDs, rendering a highintensity homogeneous spot. Thus, endogenous chromophores at the skinwere excited, and the emission intensity appeared to be enough to detect anenhanced peaked structure around 600 nm for some suspicious regions beforetreatment, and that were absence in healthy regions. These differences can berelated to the augmented protoporphyrin IX content in neoplastic regions.Results presented in this work indicates the usefulness of the developed LEDlamp as an easyto-use device for the non-invasive detection of skin neoplasticpathologies, before and after treatment, with the aim of better define themalignant regions as well as predict the outcome of a certain treatment