Towards non-invasive monitoring of non-melanoma skin cancer using spatially offset Raman spectroscopy

18Citations
Citations of this article
14Readers
Mendeley users who have this article in their library.

Abstract

BCC (basal cell carcinoma) and SCC (squamous cell carcinoma) account for the vast majority of cases of non-melanoma skin cancer (NMSC). The gold standard for the diagnosis remains biopsy, which, however, is an invasive and time-consuming procedure. In this study, we employed spatially offset Raman spectroscopy (SORS), a non-invasive approach, allowing the assessment of deeper skin tissue levels and collection of Raman photons with a bias towards the different layers of epidermis, where the non-melanoma cancers are initially formed and expand. Ex vivo Raman measurements were acquired from 22 skin biopsies using conventional back-scattering and a defocused modality (with and without a spatial offset). The spectral data were assessed against corresponding histopathological data to determine potential prognostic factors for lesion detection. The results revealed a positive correlation of protein and lipid content with the SCC and BCC types, respectively. By further correlating with patient data, multiple factor analysis (MFA) demonstrated a strong clustering of variables based on sex and age in all modalities. Specifically for the defocused modality (zero and 2 mm offset), further clustering occurred based on pathology. This study demonstrates the utility of the SORS technology in NMSC diagnosis prior to histopathological examination on the same tissue.

Cite

CITATION STYLE

APA

Vardaki, M. Z., Pavlou, E., Simantiris, N., Lampri, E., Seretis, K., & Kourkoumelis, N. (2023). Towards non-invasive monitoring of non-melanoma skin cancer using spatially offset Raman spectroscopy. Analyst, 148(18), 4386–4395. https://doi.org/10.1039/d3an00684k

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free