Near-infrared autofluorescence spectroscopy of pigmented benign and malignant skin lesions

Optical Biopsy of Amelanotic Melanoma with Raman and Autofluorescence Spectra Stimulated by 785 nm Laser Excitation

“…The spectral differences in the 800-870 nm region not exceed 5.9%. Both mean AMM and PMM spectra have spectral maxima at 840 and 865 nm in comparison with normal skin and other skin tumors such as BCC [12]. In our previous studies, we have mentioned that local maxima at 840 and 865 nm are observed in the spectra of tumors with high melanin concentration [12].…”

“…Both mean AMM and PMM spectra have spectral maxima at 840 and 865 nm in comparison with normal skin and other skin tumors such as BCC [12]. In our previous studies, we have mentioned that local maxima at 840 and 865 nm are observed in the spectra of tumors with high melanin concentration [12]. These peaks are shifted to longer wavenumber region that causes overlapping of Raman peaks at 1086 ( υ !…”

“…The similar autofluorescence of PMM and AMM with different pigmentation level may be explained by contribution of multiple skin components. At the same time, high autofluorescence and broadband emission maxima in both PMM and nevi spectra are due to the high melanin concentration in these neoplasms [12]. Therefore, it is not clear which skin components besides melanin cause high autofluorescence during 785 nm laser stimulation of skin tissues.…”

“…Zeng et al [11] focused on the detection of the spectral differences between cancer and benign lesions using 785 nm Raman spectroscopy. Borisova et al [12,13] have studied pigmented melanoma and different types of malignant and benign pigmented tumors based on the ultraviolet, visible and NIR autofluorescence spectroscopy. Puppels et al [14] demonstrated the power of Raman spectroscopy to differentiate melanoma from different type of pigmented nevi.…”

In vivo diagnosis of skin cancer with a portable Raman spectroscopic device

“…Although the spectrum acquisition time is 60 s for a low‐cost system and about 1 s (or even less) for the devices with deeply cooled detectors, the accuracy of automatic analysis with the proposed system is higher than the accuracy of GPs and trainees, and is comparable or less to the accuracy of trained dermatologists. An important feature of the proposed approach is that it may be easily combined with other optical techniques of skin lesions analysis, such as dermoscopy‐ and spectroscopy‐based CAD systems 49,50 or application of AF analysis in the visible region 52‐55 and/or analysis of the diffuse reflectance in the visible and NIR regions 56‐59 . Neoplasms colour estimation is problematic with the proposed spectroscopic setup, and NIR spectral analysis may be complemented with neoplasms images analysis.…”