A Computational Model for Temperature Monitoring During Human Liver Treatment by Nd:YaG Laser Interstitial Thermal Therapy (LITT)
Abstract
Describing heat transfer in biological organs is absolutely challenging because it is involved with many complex phenomena. Therefore, understanding the optical and thermal properties of living system during external irradiation sources such as laser interstitial thermal therapy (LITT) are too important for therapeutic purposes, especially for hyperthermia treatments. The purpose of this study was to determine a proper laser power and irradiation time for LITT applicator to irradiate liver tissue during hyperthermia treatment. For this aim, bioheat equation in one-dimensional spherical coordinate is solved by Green function method to simulate temperature distribution and rate of damage around irradiated target and how thermal and optical properties such as laser power, laser exposure time, and blood perfusion rate affect the rate of temperature distribution. Guiding equations according to the suggested boundary conditions are written and solved by MATLAB software. The outcomes show that increasing laser exposure time and power increase the temperature, especially at the nearest distance from the center of diffusion. Accordingly, a decrease in blood perfusion rate leads to decrease temperature distribution. The findings show that the model is useful to help the physicians to monitor the amount of heat diffusion by laser power during the treatment to protect healthy cells.
Downloads
References
Abbas, I., Hobiny, A. and Alzahrani, F. 2020. An analytical solution of the bioheat model in a spherical tissue due to laser irradiation. Indian Journal of Physics, 94(9), pp.1329-1334.
Adeleh, K., Reza, H., Mohammed, M. and Hossein, A. 2021. Numerical study on the effect of blood perfusion and tumor metabolism on tumor temperature for targeted hyperthermia considereing a realistic geometrical model of head layers using the finite element method. SN Applied Sciences, 3(4), pp.1-17.
Andres, M., Blauth, S., Leithäuser, C. and Siedow, N. 2020. Identification of the blood perfusion rate for laser-induced thermotherapy in the liver. Journal of Mathematics in Industry, 10(1), p.17.
Ash, C., Dubec, M., Donne, K. and Bashford, T. 2017. Effect of wavelength and beam width on penetration in light-tissue interaction using computational methods. Lasers in Medical Science, 32(8), pp.1909-1918.
Beck, J.V., Cole, K.D., Haji-Sheikh, A. and Litkouhl, B. 1992. Heat Conduction Using Green Function. Taylor and Francis., New York. p.552.
Bhowmik, A., Singh, R. and Repaka, R. 2013. Conventional and newly developed bioheat transport models in vascularized tissues: A review. Journal of Thermal Biology, 38(3), pp.107-125.
Blauth, S., Hübner, F., Leithäuser, C., Siedow, N. and Vogl, T.J. 2020.
Mathematical modeling of vaporization during laser-induced thermotherapy in liver tissue. Journal of Mathematics in Industry, 10(1), pp. 1-16.
Chen, C., Lee, I., Tatsui, C., Elder, T. and Sloan, A.E. 2021. Laser interstitial thermotherapy (Litt) for the treatment of tumors of the brain and spine: A brief review. Journal of Neuro Oncology, 151(3), pp.429-442.
Chu, K. and Dupuy, D. 2014. Thermal ablation of tumours: Biological mechanisms and advances in therapy. Nature Reviews Cancer, 14(3), pp.199-208.
Dutta, J. and Kundu, B. 2018. Thermal wave propagation in blood perfused tissues under hyperthermia treatment for unique oscillatory heat flux at skin surface and appropriate initial condition. Heat and Mass Transfer, 54(11), pp.3199-3217.
Faryad, M. and Lakhtakia, A. 2018. Infinite-Space Dyadic Green Functions in Electromagnetism. Morgan and Claypool Publishers, San Rafael, California. Feng, Y. and Fuentes, D. 2011. Model-based planning and real-time predictive control for laser-induced thermal therapy. International Journal of Hyperthermia, 27(8), pp.751-761.
Giordano, M., Gutierrez, G. and Rinaldi, C. 2010. Fundamental solutions to the bioheat equation and their application to magnetic fluid hyperthermia. International Journal of Hyperthermia, 26(5), pp.475-484.
Hahn, D. and Özisik, M. 2012. Heat Conduction, John Wiley and Sons, United States.
Soares, P.I.P., Ferreira, I.M.M., Igreja, R.A.G., Novo, C.M.M. and Borges, J.P.M. 2012. Application of hyperthermia for cancer treatment: Recent patents review. Recent patents on anti-cancer drug discovery, 7(1), pp.64-73.
Khaleel, Y., Yahya, S. and Ibrahim, R. 2019. Skin temperature distribution over human head due to handheld mobile phone call using thermal imaging camera. Aro-The Scientific Journal of Koya University, 7(2), pp.63-68.
Li, X., Qin, Q.H. and Tian, X. 2019. Thermomechanical response of porous biological tissue based on local thermal non-equilibrium. Journal of Thermal Stresses, 42(12), pp.1481-1498.
Milanic, M., Muc, B.T., Lukac, N. and Lukac, M. 2019. Numerical study of hyper‐thermic laser lipolysis with 1,064 nm Nd: Yag laser in human subjects. Lasers in Surgery and Medicine, 51(10), pp.897-909.
Modest, F. and Mazumder, S. 2021. Radiative Heat Transfer, Academic Press, United States.
Niemz, M., 2019. Laser-Tissue Interactions, Springer, Germany.
O’neal, D., Hirsch, L. and Halas, N. 2004. Photo-thermal tumor ablation in mice using near infrared-absorbing nanoparticles. Cancer Letters, 209(2), pp.171-176.
Özen, S., Helhel, S. and Cerezci, O. 2008. Heat analysis of biological tissue exposed to microwave by using thermal wave model of bio-heat transfer (TWMBT). Burns, 34(1), pp.45-49.
Pennes, H. 1948. Analysis of tissue and arterial blood temperatures in the resting human forearm. Journal of Applied Physiology, 1(2), pp.93-122.
Shibib, K., Munshid, A. and Lateef, H. 2017. The effect of laser power, blood perfusion, thermal and optical properties of human liver tissue on thermal damage in LITT. Lasers in Medical Science, 32(9), pp.2039-2046.
Skandalakis, G., Rivera, D., Rizea, C., Bouras, A., JesuRaj, J., Bozec, D. and Hadjipanayis, C. 2020. Hyperthermia treatment advances for brain tumors. International Journal of Hyperthermia, 37(2), pp.3-19.
Vogl, T., Straub, R., Zangos, S., Mack, M. and Eichler, K. 2004. Mr-guided laser-induced thermotherapy (LITT) of liver tumours: Experimental and clinical data. International Journal of Hyperthermia, 20(7), pp.713-724.
Wang, K., Tavakkoli, F., Wang, S. and Vafai, K. 2015. Analysis and analytical characterization of bioheat transfer during radiofrequency ablation. Journal of Biomechanics, 48(6), pp.930-940.
Mohammed, Y. and Verhey, J.F. 2005. A finite element method to simulate laser interstitial thermotherapy in anatomical inhomogenous regions. Biomedical Engineering Online, 4(1), p.2.
Zhou, J., Chen, J. and Zhang, Y. 2007. Theoretical analysis of thermal damage in biological tissues caused by laser irradiation. Molecular and Cellular Biomechanics, 4(1), pp.27.
Zhu, D., Luo, Q., Zhu, G. and Liu, W. 2002. Kinetic thermal response and damage in laser coagulation of tissue. Lasers In Surgery And Medicine: The Official Journal of The American Society For Laser Medicine and Surgery, 31(5), pp.313-321
Copyright (c) 2022 Bazhdar N. Mohammed, Dilshad S. Ismael
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
Authors who choose to publish their work with Aro agree to the following terms:
-
Authors retain the copyright to their work and grant the journal the right of first publication. The work is simultaneously licensed under a Creative Commons Attribution License [CC BY-NC-SA 4.0]. This license allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
-
Authors have the freedom to enter into separate agreements for the non-exclusive distribution of the journal's published version of the work. This includes options such as posting it to an institutional repository or publishing it in a book, as long as proper acknowledgement is given to its initial publication in this journal.
-
Authors are encouraged to share and post their work online, including in institutional repositories or on their personal websites, both prior to and during the submission process. This practice can lead to productive exchanges and increase the visibility and citation of the published work.
By agreeing to these terms, authors acknowledge the importance of open access and the benefits it brings to the scholarly community.