Fluorescence ratiometric classifier for the detection of skin pathologies

Suresh Anand; Riccardo Cicchi; Alessandro Cosci; Susanna Rossari; Dimitrios Kapsokalyvas; Enrico Baria; Vincenza Maio; Daniela Massi; Vincenzo De Giorgi; Nicola Pimpinelli; Francesco Savero Pavone

doi:10.1117/12.2183786

15 July 2015 Fluorescence ratiometric classifier for the detection of skin pathologies

Suresh Anand, Riccardo Cicchi, Alessandro Cosci, Susanna Rossari, Dimitrios Kapsokalyvas, Enrico Baria, Vincenza Maio, Daniela Massi, Vincenzo De Giorgi, Nicola Pimpinelli, Francesco Savero Pavone

Author Affiliations +

Proceedings Volume 9537, Clinical and Biomedical Spectroscopy and Imaging IV; 95371R (2015) https://doi.org/10.1117/12.2183786
Event: European Conferences on Biomedical Optics, 2015, Munich, Germany

Abstract

Detection of pre-malignant lesions in skin could help in reducing the 5 year patient mortality rates and greatly advancing the quality of life. Current gold standard for the detection of skin pathologies is a tissue biopsy and followed by a series of steps before it is examined under a light microscope by a pathologist. The disadvantage with this method is its invasiveness. Light based biomedical point spectroscopic techniques offers an adjunct technique to invasive tissue pathology. In this context, we have implemented a simple multiplexed ratiometric approach (F470/F560 and F510/F580) based on fluorescence at two excitation wavelengths 378 nm and 445 nm respectively. The emission profile at these excitation wavelengths showed a shift towards the longer wavelengths for melanoma when compared with normal and nevus. At both excitation wavelengths, we observed an increased intensity ratios for normal, followed by nevus and melanoma. This intensity ratios provide a good diagnostic capability in differentiating normal, nevus and melanocytic skin lesions. This method could be applied in vivo because of the simplicity involved in discriminating normal and pathological skin tissues.

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Suresh Anand, Riccardo Cicchi, Alessandro Cosci, Susanna Rossari, Dimitrios Kapsokalyvas, Enrico Baria, Vincenza Maio, Daniela Massi, Vincenzo De Giorgi, Nicola Pimpinelli, and Francesco Savero Pavone "Fluorescence ratiometric classifier for the detection of skin pathologies", Proc. SPIE 9537, Clinical and Biomedical Spectroscopy and Imaging IV, 95371R (15 July 2015); https://doi.org/10.1117/12.2183786

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KEYWORDS

Skin

Tissues

Tissue optics

Pathology

Melanoma

Spectroscopy

Luminescence

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