Optical biopsy of skin cancer based on Raman and fluorescence spectroscopy

This paper presents the application of the optical methods of Raman spectroscopy and autofluorescence analysis for studying of the skin diagnostic features. Benign and malignant skin tumors from 89 patients were measured using portable spectroscopic system with near-infrared 785 nm laser excitation. Classifications of the different skin tumors were made using partial least squares methods with discriminant analysis in two tasks: melanoma from other malignant skin tumors (basal cell carcinoma and squamous cell carcinoma) with 0.95 sensitivity and 0.86 specificity and melanoma from pigmented nevus with 0.68 sensitivity and 0.78 specificity. The main findings establish that combined analysis of the autofluorescence and Raman spectral signatures of the different skin tumors are more effective in comparison with using of the only Raman spectroscopy. Also, results of classifications show the tumor spectra contain most useful information rather than tumor spectra normalized to the corresponding normal skin spectra.

[1]  A. Jemal,et al.  Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries , 2018, CA: a cancer journal for clinicians.

[2]  R. Richards-Kortum,et al.  Raman spectroscopy for the detection of cancers and precancers. , 1996, Journal of biomedical optics.

[3]  Renato Amaro Zângaro,et al.  Discriminating model for diagnosis of basal cell carcinoma and melanoma in vitro based on the Raman spectra of selected biochemicals , 2012, Journal of biomedical optics.

[4]  Nicholas B. MacKinnon,et al.  Hyperspectral and Multispectral Imaging in Dermatology , 2016 .

[5]  N. Dubrawsky Cancer statistics , 1989, CA: a cancer journal for clinicians.

[6]  Valery P Zakharov,et al.  Portable spectroscopic system for in vivo skin neoplasms diagnostics by Raman and autofluorescence analysis , 2019, Journal of biophotonics.

[7]  Daisuke Miyamori,et al.  Raman spectroscopy of human skin: looking for a quantitative algorithm to reliably estimate human age , 2015, Journal of biomedical optics.

[8]  Riccardo Cicchi,et al.  Combined fluorescence‐Raman spectroscopic setup for the diagnosis of melanocytic lesions , 2014, Journal of biophotonics.

[9]  A. Talari,et al.  Raman Spectroscopy of Biological Tissues , 2007 .

[10]  Benno H W Hendriks,et al.  Diffuse reflectance spectroscopy as a tool for real-time tissue assessment during colorectal cancer surgery , 2017, Journal of biomedical optics.

[11]  S. Wold,et al.  PLS-regression: a basic tool of chemometrics , 2001 .

[12]  A. Jemal,et al.  Cancer statistics, 2019 , 2019, CA: a cancer journal for clinicians.

[13]  Renato Amaro Zângaro,et al.  Normal-subtracted preprocessing of Raman spectra aiming to discriminate skin actinic keratosis and neoplasias from benign lesions and normal skin tissues , 2019, Lasers in Medical Science.

[14]  D. McLean,et al.  Real-time Raman Spectroscopy for in Vivo Skin Cancer Diagnosis Raman Spectroscopy of Skin Cancer , 2022 .

[15]  Ekaterina Borisova,et al.  Near-infrared autofluorescence spectroscopy of pigmented benign and malignant skin lesions , 2020 .

[16]  T. Vo‐Dinh Fluorescence Spectroscopy for Biomedical Diagnostics , 2003 .