Journal of the Korean Physical Society

  • 제73권10호
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  • Pages.1577-1583
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  • 2018
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  • 0374-4884(pISSN)
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  • 1976-8524(eISSN)
한국물리학회 (Korean Physical Society)
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Development of a Method for Improving the Electric Field Distribution in Patients Undergoing Tumor-Treating Fields Therapy

  • Sung, Jiwon (Department of Bio-convergence Engineering, Korea University) ;
  • Seo, Jaehyeon (Department of Bio-convergence Engineering, Korea University) ;
  • Jo, Yunhui (Department of Bio-convergence Engineering, Korea University) ;
  • Yoon, Myonggeun (Department of Bio-convergence Engineering, Korea University) ;
  • Hwang, Sang-Gu (Korea Institute of Radiological and Medical Sciences) ;
  • Kim, Eun Ho (Korea Institute of Radiological and Medical Sciences)
  • 투고 : 2018.04.30
  • 심사 : 2018.07.09
  • 발행 : 2018.11.30
⟨ 이전 논문 다음 논문 ⟩

초록

Tumor-treating fields therapy involves placing pads onto the patient's skin to create a low- intensity (1 - 3 V/cm), intermediate frequency (100 - 300 kHz), alternating electric field to treat cancerous tumors. This new treatment modality has been approved by the Food and Drug Administration in the USA to treat patients with both newly diagnosed and recurrent glioblastoma. To deliver the prescribed electric field intensity to the tumor while minimizing exposure of organs at risk, we developed an optimization method for the electric field distribution in the body and compared the electric field distribution in the body before and after application of this optimization algorithm. To determine the electric field distribution in the body before optimization, we applied the same electric potential to all pairs of electric pads located on opposite sides of models. We subsequently adjusted the intensity of the electric field to each pair of pads to optimize the electric field distribution in the body, resulting in the prescribed electric field intensity to the tumor while minimizing electric fields at organs at risk. A comparison of the electric field distribution within the body before and after optimization showed that application of the optimization algorithm delivered a therapeutically effective electric field to the tumor while minimizing the average and the maximum field strength applied to organs at risk. Use of this optimization algorithm when planning tumor-treating fields therapy should maintain or increase the intensity of the electric field applied to the tumor while minimizing the intensity of the electric field applied to organs at risk. This would enhance the effectiveness of tumor-treating fields therapy while reducing dangerous side effects.

키워드

과제정보

연구 과제 주관 기관 : National Research Foundation of Korea (NRF)

참고문헌

  1. A. M. Davies, U. Weinberg and Y. Palti, Ann. Ny. Acad. Sci. 1291, 86 (2013). https://doi.org/10.1111/nyas.12112
  2. M. Pless and U. Weinberg, Expert Opin. Inv. Drug 20, 1099 (2011). https://doi.org/10.1517/13543784.2011.583236
  3. S. Kesari, Z. Ram and E. F. T. Investigators, CNS Oncol. 6, 185 (2017). https://doi.org/10.2217/cns-2016-0049
  4. E. H. Kim, Y. J. Kim, H. S. Song, Y. K. Jeong, J. Y. Lee, J. Sung, S. H. Yoo and M. Yoon, Oncotarget 7, 62267 (2016).
  5. R. Stupp et al., Jama-J. Am. Med. Assoc. 314, 2535 (2015). https://doi.org/10.1001/jama.2015.16669
  6. C. Wenger, Z. Bomzon, R. Salvador, P. J. Basser and P. C. Miranda, Conf. Proc. IEEE Eng. Med. Biol. Soc. 2016, 5664 (2016).
  7. F. Rivera, J. Gallego, C. Guillen, M. Benavides, J. A. Lopez-Martin and M. Kueng, J. Clin. Oncol. 34, 269 (2016).
  8. M. Pless, C. Droege, R. von Moos, M. Salzberg and D. Betticher, Lung Cancer 81, 445 (2013). https://doi.org/10.1016/j.lungcan.2013.06.025
  9. N. Hanna et al., J. Clin. Oncol. 22, 1589 (2004). https://doi.org/10.1200/JCO.2004.08.163
  10. D. D. Von Hoff et al., New. Engl. J. Med. 369, 1691 (2013). https://doi.org/10.1056/NEJMoa1304369
  11. I. Vergote, R. von Moos, L. Manso and C. Sessa, J. Clin. Oncol. 35, 5580 (2017). https://doi.org/10.1200/JCO.2017.35.15_suppl.5580
  12. A. M. Poveda, F. Selle, F. Hilpert, A. Reuss, A. Savarese, I. Vergote, P. Witteveen, A. Bamias, N. Scotto, L. Mitchell and E. Pujade-Lauraine, J. Clin. Oncol. 33, 3836 (2015). https://doi.org/10.1200/JCO.2015.63.1408
  13. E. D. Kirson, Z. Gurvich, R. Schneiderman, E. Dekel, A. Itzhaki, Y. Wasserman, R. Schatzberger and Y. Palti, Cancer Res. 64, 3288 (2004). https://doi.org/10.1158/0008-5472.CAN-04-0083
  14. M. Silginer, M.Weller, R. Stupp and P. Roth, Cell Death Dis. 8, e2753 (2017). https://doi.org/10.1038/cddis.2017.171
  15. E. D. Kirson et al., P. Natl. Acad. Sci. USA 104, 10152 (2007). https://doi.org/10.1073/pnas.0702916104
  16. H. Jeong, J. Sung, S. I. Oh, S. Jeong, E. K. Koh, S. Hong and M. Yoon, Appl. Phys. Lett. 105, 203703 (2014). https://doi.org/10.1063/1.4902112
  17. A. Chaudhry, L. Benson, M. Varshaver, O. Farber, U. Weinberg, E. Kirson and Y. Palti, World J. Surg. Oncol. 13, 316 (2015). https://doi.org/10.1186/s12957-015-0722-3
  18. J. Connelly, A. Hormigo, N. Mohilie, J. Hu, A. Chaudhry and N. Blondin, Bmc Cancer 16, 842 (2016). https://doi.org/10.1186/s12885-016-2890-0
  19. P. C. Miranda, A. Mekonnen, R. Salvador and P. J. Basser, Phys. Med. Biol. 59, 4137 (2014). https://doi.org/10.1088/0031-9155/59/15/4137
  20. C. Wenger, R. Salvador, P. J. Basser and P. C. Miranda, Int. J. Radiat. Oncol. 94, 1137 (2016). https://doi.org/10.1016/j.ijrobp.2015.11.042
  21. M. Macedo, C. Wenger, R. Salvador, S. R. Fernandes and P. C. Miranda, Conf. Proc. IEEE Eng. Med. Biol. Soc. 2016, 5168 (2016).
  22. Q. W. Wu and R. Mohan, Med. Phys. 27, 701 (2000). https://doi.org/10.1118/1.598932
  23. X. D. Zhang, H. Liu, X. C. Wang, L. Dong, Q. W. Wu and R. Mohan, Med. Phys. 31, 1141 (2004). https://doi.org/10.1118/1.1688214
  24. K. H. Chang, S. Lee, Y. J. Cao, J. B. Shim, J. E. Lee, J. A. Lee, D. S. Yang, Y. J. Park, W. S. Yoon, C. Y. Kim, S. J. Cho, S. H. Lee, W. C. Kim, C. K. Min, K. H. Cho and H. D. Huh, J. Korean Phys. Soc. 64, 1047 (2014). https://doi.org/10.3938/jkps.64.1047
  25. L. Fenkell, I. Kaminsky, S. Breen, S. Huang, M. Van Prooijen and J. Ringash, Radiother. Oncol. 89, 287 (2008). https://doi.org/10.1016/j.radonc.2008.08.008
  26. L. K. Schubert, V. Gondi, E. Sengbusch, D. C. Westerly, E. T. Soisson, B. R. Paliwal, T. R. Mackie, M. P. Mehta, R. R. Patel, W. A. Tome and G. M. Cannon, Radiother. Oncol. 100, 241 (2011). https://doi.org/10.1016/j.radonc.2011.01.004
  27. A. Michalski, J. Atyeo, J. Cox, M. Rinks, M. Morgia and G. Lamoury, Med. Dosim. 39, 163 (2014). https://doi.org/10.1016/j.meddos.2013.12.003
  28. C. Gabriel, AL/OE-TR-1996-0004 (1996).
  29. C. Gabriel, S. Gabriel and E. Corthout, Phys. Med. Biol. 41, 2231 (1996). https://doi.org/10.1088/0031-9155/41/11/001
  30. M. Gen and R. Cheng, Genetic algorithms and engineering optimization (John Wiley & Sons, 2000), Vol. 7.
  31. Y. J. Li, D. Z. Yao, J. Yao and W. F. Chen, Phys. Med. Biol. 50, 3491 (2005). https://doi.org/10.1088/0031-9155/50/15/002
  32. X. Wu and Y. Zhu, Phys. Med. Biol. 46, 1085 (2001). https://doi.org/10.1088/0031-9155/46/4/313
  33. J. Bang and S. Yoo, J. Korean Phys. Soc. 65, 2001 (2014). https://doi.org/10.3938/jkps.65.2001
  34. M. Peszynska-Piorun, J. Malicki and W. Golusinski, Radiol. Oncol. 46, 328 (2012).
  35. E. K. Koh, J. Seo, T. S. Baek, E. J. Chung, M. Yoon and H. H. Lee, J. Korean Phys. Soc. 63, 97 (2013). https://doi.org/10.3938/jkps.63.97

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