Monte Carlo simulation of Raman light scattering and Multivariate Curve Resolution – Alternating Least Squares for determination of changes in skin tissue during the development of malignant neoplasms

The paper analyses two approaches to determination of changes in the concentrations of skin components during the development of malignant neoplasms – Monte Carlo simulation of Raman light scattering and multivariate curve resolution–alternating least squares (MCR-ALS). Our aim with this paper is to study the possibilities of these methods for assessing changes in the composition of the skin. Malignant melanoma and basal cell carcinoma are studied. An algorithm for Monte Carlo simulation of Raman light scattering also as a skin optical model with optical transport parameters and Raman active components are described. As the most important model components, collagen, elastin, keratin, cell nucleus, triolein, ceramide, melanin and water are chosen. Raman spectra of normal human skin, malignant melanoma and basal cell carcinoma skin cancers have been simulated using an additive simulation approach. The possibility of using the algorithm and MCR-ALS to estimate changes in the concentration of skin components with the development of malignant neoplasms is examined.