Additive Approach to Simulation of Malignant Neoplasms Using the Monte Carlo Method

Irina A. Matveeva (Login required)
Samara National Research University, Russia

Oleg O. Myakinin
Samara National Research University, Russia

Vseslav O. Vinokurov
Samara National Research University, Russia

Yulia A. Khristoforova
Samara National Research University, Russia

Ivan A. Bratchenko
Samara National Research University, Russia

Alexander A. Moryatov
Samara State Medical University, Russia

Sergey V. Kozlov
Samara State Medical University, Russia

Valery P. Zakharov
Samara National Research University, Russia

Paper #3383 received 30 Aug 2020; revised manuscript received 15 Sep 2020; accepted for publication 22 Sep 2020; published online 30 Sep 2020.

DOI: 10.18287/JBPE20.06.030302


The paper is devoted to additive simulation of Raman light scattering by skin cancer using the Monte Carlo method. Raman light scattering from normal skin, malignant melanoma and basal cell carcinoma is investigated. Based on the photon transport algorithm proposed by L. Wang and S. L. Jacques, a two-stage algorithm for simulating Raman light scattering from skin has been developed. A method for additive modeling of skin pathologies is proposed. The main idea of this method is a hypothesis that an experimental Raman spectrum of normal skin, obtained by averaging in vivo Raman spectra of normal skin, may be served as a “substrate” for the feature simulated Raman spectrum. Thus, the pathology, for their part, may be “grown” by adding on this “substrate” Raman specific components set related to a tumor type. Additive simulation of malignant melanoma on various stages and basal cell carcinoma has been carried out. The possibility of using the developed algorithm to determine the component composition of the skin by the in vivo Raman spectrum of skin is discussed. An attempt to evaluate the change in the concentration of skin components during the development of cancer has been made.


additive simulation; basal cell carcinoma; malignant melanoma; Monte Carlo; Raman light scattering; Raman spectroscopy; skin cancer; skin components

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1. J. de Leeuw, N. van der Beek, W. D. Neugebauer, P. Bjerring, and H. M. Neumann, “Fluorescence detection and diagnosis of non-melanoma skin cancer at an early stage,” Lasers in Surgery and Medicine 41(2), 96–103 (2009).

2. V. P. Zakharov, P. E. Timchenko, E. V. Timchenko, L. A. Zherdeva, S. V. Kozlov, and A. A. Moryatov, “Backscattering spectroscopy for assessing skin tumor,” Journal of Biomedical Photonics & Engineering 1(2), 164–168 (2015).

3. J. Popp, C. Krafft, and T. Mayerhöfer, “Modern Raman spectroscopy for biomedical applications: A variety of Raman spectroscopical techniques on the threshold of biomedical applications,” Optik & Photonik 6(4), 24–28 (2011).

4. H. Lui, J. Zhao, D. McLean, and H. Zeng, “Real-time Raman spectroscopy for in vivo skin cancer diagnosis,” Cancer research 72(10), 2491–2500 (2012).

5. J. Zhao, H. Lui, D. I. McLean, and H. Zeng, “Integrated real-time Raman system for clinical in vivo skin analysis,” Skin Research and Technology 14(4), 484–492 (2008).

6. Y. A. Khristoforova, I. A. Bratchenko, O. O. Myakinin, D. N. Artemyev, A. A. Moryatov, A. E. Orlov, and V. P. Zakharov, “Portable spectroscopic system for in vivo skin neoplasms diagnostics by Raman and autofluorescence analysis,” Journal of biophotonics 12(4), e201800400 (2019).

7. I. Krasnikov, C. Suhr, A. Seteikin, M. Meinhardt-Wollweber, and B. Roth, “Monte Carlo simulation of the influence of internal optical absorption on the external Raman signal for biological samples,” Journal of the Optical Society of America A 36(5), 877–882 (2019).

8. X. Feng, A. J. Moy, H. T. Nguyen, J. Zhang, M. C. Fox, K. R. Sebastian, and J. W. Tunnell “Raman active components of skin cancer,” Biomedical optics express 8(6), 2835–2850 (2017).

9. I. Meglinski, A. Doronin, A. N. Bashkatov, E. A. Genina, and V. V. Tuchin, “Dermal component–based optical modeling of skin translucency: impact on skin color,” Computational Biophysics of the Skin, 25–62 (2014).

10. S. L. Jacques, “Optical properties of biological tissues: a review,” Physics in Medicine & Biology 58(11), R37–R61 (2013).

11. M. H. Niemz, Laser-tissue interactions, Springer-Verlag Berlin Heidelberg (2007).

12. S. A. Prahl, “A Monte Carlo model of light propagation in tissue,” Dosimetry of laser radiation in medicine and biology 10305, 1030509 (1989).

13. I. Pavlova, C. Weber, R. A. Schwarz, M. D. Williams, A. M. Gillenwater, and R. R. Richards-Kortum “Fluorescence spectroscopy of oral tissue: Monte Carlo modeling with site-specific tissue properties,” Journal of biomedical optics 14(1), 014009 (2009).

14. I. Pavlova, С. E. R. Weber, R. A. Schwarz, M. D. Williams, A. K. El-Naggar, A. M. Gillenwater, and R. R. Richards-Kortum, “Monte Carlo model to describe depth selective fluorescence spectra of epithelial tissue: applications for diagnosis of oral precancer,” Journal of biomedical optics 13(6), 064012 (2008).

15. W. C. Shih, K. L. Bechtel, and M. S. Feld, “Intrinsic Raman spectroscopy for quantitative biological spectroscopy part I: theory and simulations,” Optics express 16(17), 12726–12736 (2008).

16. N. Everall, T. Hahn, P. Matousek, A. W. Parker, and M. Towrie, “Photon migration in Raman spectroscopy,” Applied spectroscopy 58(5), 591–597 (2004).

17. P. Matousek, M. D. Morris, N. Everall, I. P. Clark, M. Towrie, E. Draper, and A. W. Parker, “Numerical simulations of subsurface probing in diffusely scattering media using spatially offset Raman spectroscopy,” Applied spectroscopy 59(12), 1485–1492 (2005).

18. C. Reble, I. Gersonde, C. A. Lieber, and J. Helfmann, “Influence of tissue absorption and scattering on the depth dependent sensitivity of Raman fiber probes investigated by Monte Carlo simulations,” Biomedical optics express 2(3), 520–533 (2011).

19. J. Mo, W. Zheng, and Z. Huang, “Fiber-optic Raman probe couples ball lens for depth-selected Raman measurements of epithelial tissue,” Biomedical optics express 1(1), 17–30 (2010).

20. S. Wang, J. Zhao, H. Lui, Q. He, J. Bai, and H. Zeng, “Monte Carlo simulation of in vivo Raman spectral Measurements of human skin with a multi-layered tissue optical model,” Journal of biophotonics 7(9), 703–712 (2014).

21. L. Wang, S. L. Jacques, “Monte Carlo modeling of light transport in multi-layered tissues in standard C,” The University of Texas, MD Anderson Cancer Center, Houston, 4–11 (1992).

22. D. Tuschel, “Selecting an excitation wavelength for Raman spectroscopy,” Spectroscopy 31(3), 14–23 (2016).

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