APPLIED JOURNAL OF PHYSICAL SCIENCE
Integrity Research Journals
ISSN: 2756-6684
Model: Open Access/Peer Reviewed
DOI: 10.31248/AJPS
Start Year: 2018
Email: ajps@integrityresjournals.org
3-dimensional simulation of light transport in tissue using a steady state monte carlo method for photodynamic therapy application
https://doi.org/10.31248/AJPS2021.062 | Article Number: 7287EFA22 | Vol.3 (4) - December 2021
Received Date: 21 October 2021 | Accepted Date: 10 November 2021 | Published Date: 30 December 2021
Authors: Wejeyan N. Felix* , Ibrahim Umar , Samson D. Yusuf , Usman , Abdullahi A. Mundi and Idris M. Mustapha
Keywords: 3-dimensional simulation, light transport, photodynamic therapy, photosensitizing agents.
Photodynamic therapy (PDT) is a developing treatment modality for cancer and surface carcinomas that uses a combination of non-ionizing light in the presence of a photosensitizing (PS) agent and oxygen to produce singlet oxygen that can be combined with other physiological factors to cause an organ cells death of the target area. This research simulates the propagation of light photons through normal tissue and tissue incubated with a PS agent (Metvix – Methyl Aminolevulinate (MAL)) and prepped for PDT procedure. Using the Hop/Drop/Spin nomenclature, the photons, after being allocated a weight, are allowed to take random step-size through the tissue as they are attenuated by the tissue and the presence of the photosensitizing agent while accounting for the degradation of the PS agent as the process proceeds. In each step, a fraction of the photon’s weight is deposited into allocated three-dimensional Cartesian bin. In comparison with normal tissue, the result from tissues prepped with the PS agent showed increased divergence of photon’s spatial trajectory, increment in photon penetration depths and overall attenuation. The introduction of the PS agents into tissue during PDT causes improvement in the overall attenuation of the tissue, and this improvement in attenuation can be used for accurate localization of treatment area during PDT procedures and, combined with other photodynamic factors, used for calculating the effective photon dose (PD).
| Agostinis, P., Berg, K., & Cengel, K. A. (2011). Photodynamic therapy of cancer: an update. CA: A Cancer Journal for Clinicians, 6(1), 250-281. Crossref |
||||
| Ashley, J. W., & Martin, J. C. (1995). Optical-Thermal Response of Laser Irradiated Tissue (2nd Ed.). Springer. London. Pp. 1-144. | ||||
| Caigang, Z. & Liu, Q. (2012). Hybrid method for fast Monte Carlo simulation of diffuse reflectance from multilayered tissue model with tumor-like heterogeneities. Journal of Biomedical Optics, 17(1), 01005011-01005013. Crossref |
||||
| Donnelly, R. F., McCarron, P. A., & Woolfson, A. D. (2007). Derivatives of 5-aminolevulinic acid for photodynamic therapy. Perspectives in Medicinal Chemistry, 1(1), 49-63. Crossref |
||||
| Fanjul-Vélez, F., Salas-García, I., Fernández-Fernández, L. A., López-Escobar, M., Buelta-Carrillo, L., Ortega-Quijano, R., & Arce-Diego, J. L. (2009). Photochemical model of photodynamic therapy applied to skin diseases by a topical photosensitizes. Proceedings SPIE Digital Library, 73(43), 73730S1-73730S7. Crossref |
||||
| Farrell, T. J., Patterson, M. S., & Wilson, B. (1992). A diffusion theory model of spatially resolved, steady‐state diffuse reflectance for the noninvasive determination of tissue optical properties in vivo. Medical Physics, 19(4), 879-888. Crossref |
||||
| Flock, S. T., Peterson, M. S., Wilson, B. C., & Wyman, D. R. (1989). Monte-Carlo modeling of light-propagation in highly scattering tissues; I. Model predictions and comparison with diffusion theory. IEEE Transactions on Biomedical Engineering, 36(12), 1162-1168. Crossref |
||||
| Jacques, S. L., & Wang, L. (1995). Monte Carlo modeling of light transport in tissues. In: Welch, A. J. & van Gemert, M. J. C. (eds.). Optical-Thermal Response oflaser-Irradiated Tissue. Plenum Press, New York. Crossref |
||||
| Keller, M. D., Wilson, R. H., Mycek, M. H., & Mahadevan-Jansen, A. (2010). Monte Carlo model of spatially offset Raman spectroscopy for breast tumor margin analysis. SAGE Journal Applied Spectroscopy, 64(6), 607-614. Crossref |
||||
| Li, H., Tian, J., Zhu, F., Cong, W., Wang, L. V., Hoffman, E. A., & Wang, G. (2004). A mouse optical simulation environment (MOSE) to investigate bioluminescent phenomena in the living mouse with the Monte Carlo method. Academic Radiology, 11(9), 1029-1038. Crossref |
||||
| Liu, B., Farrell, T. J., & Patterson, M. S. (2010). A dynamic model for ALA-PDT of skin: simulation of temporal and spatial distributions of ground-state oxygen, photosensitizer and singlet oxygen. Physics in Medicine and Biology, 55(1), 5913-5932. Crossref |
||||
| Liu, Q., Zhu, C., & Ramanujam, N. (2003). Experimental validation of Monte Carlo modeling of fluorescence in tissues in the UV-visible spectrum. Journal of Biomedical Optics, 8(2), 223-236. Crossref |
||||
| Lux, I., & Koblinger, L. (1991). Monte Carlo Particle Transport Methods: Neutron and Photon Calculations (2nd Editon). CRC Press, Boca Raton, Florida. Pp. 184 -589. | ||||
| Metropolis, N., & Ulam, S. (1949). The Monte Carlo method. Journal of the American Statistical Association, 44(247), 335-341. Crossref |
||||
| Reble, C., Gersonde, I. H., Andree, S., Eichler, H. J., &Helfmann, J. (2010). Quantitative Raman spectroscopy in turbid media. Journal of Biomedical Optics, 15(3), 037-016. Crossref |
||||
| Salas-García, I., Fanjul-Vélez, F., & Arce-Diego, J. L. (2012a). Spatial photosensitizer fluorescence emission predictive analysis for photodynamic therapy monitoring applied to a skin disease. Optics Communications, 285(1), 1581-1588. Crossref |
||||
| Salas-García, I., Fanjul-Vélez, F., & Arce-Diego, J. L. (2012b). Influence of the human skin tumor type in photodynamic therapy analyzed by a predictive model. International Journal of Photo-energy, 20(12), 1-9. Crossref |
||||
| Steven L. J. (2014). Coupling 3D Monte Carlo light transport in optically heterogeneous tissue to photoacoustic signal generation. Photoacoustic, 2(0), 137-142. Crossref |
||||
| Wilson, B. C., & Adam, G. (1983). A Monte Carlo model for the absorption and flux distributions of light in tissue. The International Journal of Medical Physics Research and Practice, 10(6), 824-830. Crossref |
||||
| Zhu, C., & Liu, Q. (2012). Hybrid method for fast Monte Carlo simulation of diffuse reflectance from a multilayered tissue model with tumor-like heterogeneities. Journal of Biomedical Optics, 17(1), 10-50. Crossref |
||||
| Zhu, T. C., & Finlay, J. C. (2008). The role of photodynamic therapy (PDT) physics. Medical Physics, 35(7Part1), 3127-3136. Crossref |
||||
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