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Multiphysics Modeling of Liver Tumor Ablation by High Intensity Focused Ultrasound

Part of: Thermodynamics and heat transfer Partial differential equations, boundary value problems

Published online by Cambridge University Press:  15 October 2015

Maxim Solovchuk ,
Tony Wen-Hann Sheu  and
Marc Thiriet
Maxim Solovchuk*
Affiliation:
Center of Advanced Study in Theoretical Sciences (CASTS), National Taiwan University Institute of Biomedical Engineering and Nanomedicine, National Health Research Institutes, No. 35, Keyan Road, Zhunan, Taiwan 35053
Tony Wen-Hann Sheu*
Affiliation:
Center of Advanced Study in Theoretical Sciences (CASTS), National Taiwan University Department of Engineering Science and Ocean Engineering, National Taiwan University, No. 1, Sec. 4, Roosevelt Road, Taipei, Taiwan 10617
Marc Thiriet
Affiliation:
Sorbonne Universities, UPMC Univ Paris 06, UMR 7598, Laboratoire Jacques-Louis Lions, F-75005, Paris, France
*
*Corresponding author. Email addresses: [email protected] (M. Solovchuk), [email protected] (T. W.-H. Sheu), [email protected] (M. Thiriet)
*Corresponding author. Email addresses: [email protected] (M. Solovchuk), [email protected] (T. W.-H. Sheu), [email protected] (M. Thiriet)
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Abstract

High intensity focused ultrasound is a rapidly developing technology for the ablation of tumors. Liver cancer is one of the most common malignancies worldwide. Since liver has a large number of blood vessels, blood flow cooling can reduce the necrosed volume and may cause regeneration of the tumor to occur. All cancer cells should be ablated without damaging of the critical tissues. Today, treatment planning tools consider liver as a homogeneous organ. This paper is a step towards the development of surgical planning platform for a non-invasive HIFU tumor ablative therapy in a real liver geometry based on CT/MRI image. This task requires coupling of different physical fields: acoustic, thermal and hydrodynamic. These physical fields can influence each other. In this paper we illustrate how a computational model can be used to improve the treatment efficiency. In large blood vessel both convective cooling and acoustic streaming can change the temperature considerably near blood vessel. The whole tumor ablation took only 30 seconds in the considered simulation case, which is very small comparing with the current treatment time of several hours. Through this study we are convinced that high ultrasound power and nonlinear propagation effects with appropriate treatment planning can sufficiently reduce the treatment time.

Keywords

Multiphysics and multiscale modelliver tumorcomputational surgeryblood flowfocused ultrasound

MSC classification

Secondary: 80A20: Heat and mass transfer, heat flow 65Z05: Applications to physics 68U20: Simulation 65N06: Finite difference methods
Type
Research Article
Information
Communications in Computational Physics , Volume 18 , Issue 4 , October 2015 , pp. 1050 - 1071
Copyright
Copyright © Global-Science Press 2015 

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References

[1]Huang, J. S., Gervais, D. A., Mueller, P. R., Radiofrequency ablation: Review of mechanism, indications, technique, and results, Chinese J. Radiology 26 (2001), 119–134.Google Scholar
[2]Global cancer facts and figures. American Cancer Society, Atlanta, GA 2011. Available from: http://www.cancer.org/Research/CancerFactsFigures/GlobalCancerFactsFigures/global-facts-figures-2nd-ed.Google Scholar
[3]Aubry, J. F., Pauly, K. B., Moonen, C., Haar, G., Ries, M., Salomir, R., Sokka, S., Sekins, K. M., Shapira, Y., Ye, F., Huff-Simonin, H., Eames, M., Hananel, A., Kassell, N., Napoli, A., Hwang, J. H., Wu, F., Zhang, L., Melzer, A., Kim, Y.. The road to clinical use of high-intensity focused ultrasound for liver cancer: technical and clinical consensus. J. of Therapeutic Ultrasound (2013), 1:13.Google Scholar
[4]Zhou, Y. F., High intensity focused ultrasound inclinical tumor ablation, World J. Clin. Oncol, 2 (2011), 8–27.Google Scholar
[5]Leslie, T. A. and Kennedy, J. E., High intensity focused ultrasound in the treatment of abdominal and gynaecological diseases, Int. J. Hyperthermia 23 (2007) 173–182.Google Scholar
[6]Kim, Y. S., Hyunchul, R., Choi, M. J., Lim, H. K., Choi, D., High-intensity focused ultrasound therapy: an overview for radiologists, Korean J Radiol., 9 (2008), 291–302.Google Scholar
[7]Wright, N. T., Humphrey, J. D., Denaturation of collagen via heating: an irreversible rate process, Annu. Rev. Biomed. Eng., 4 (2002), 109–128.Google Scholar
[8]Sapareto, S. A., Dewey, W. C., Thermal dose determination in cancer therapy, Int. J. Radiat. Oncol. Biol. Phys. 10(6) (1984) 787–800.Google Scholar
[9]Coon, J., Payne, A., Roemer, R., HIFU treatment time reduction in superficial tumours through focal zone path selection, Int. J. Hyperthermia, 27(5) (2011), 465–481.Google Scholar
[10]Courivaud, F., Kazaryan, A. M., Lund, A., Orszagh, V. C., Svindland, A., Marangos, I. P., Halvorsen, P. S., Jebsen, P., Fosse, E., Hol, P. K., Edwin, B., Thermal fixation of swine liver tissue after magnetic resonance-guided high-intensity focused ultrasound ablation, Ultrasound in Medicine and Biology, 40 (2014), 1564–1577.Google Scholar
[11]Zhou, Y., Generation of uniform lesions in high intensity focused ultrasound ablation, Ultrasonics, 53 (2013), 495–505.Google Scholar
[12]Paulides, M. M., Stauffer, P. R., Neufeld, E., Maccarini, P. F., Kyriakou, A., Canters, R. A. M., Diederich, C. J., Bakker, J. F., Van Rhoon, G. C., Simulation techniques in hyperthermia treatment planning, International Journal of Hyperthermia, 29 (2013) 346–357.Google Scholar
[13]Garbey, M., Salmon, R., Thanoon, D., Bass, B.L., Multiscale modeling and distributed computing to predict cosmesis outcome after a lumpectomy, Journal of Computational Physics, 244 (2013) 321–335.Google Scholar
[14]Special Issue on Multi-scale Modeling and Simulation of Biological Systems, Journal of Computational Physics, 244 (2013), 1–336.CrossRefGoogle Scholar
[15]Peng, G.C.Y., Editorial: what biomedical engineers can do to impact multiscale modeling, IEEE Transactions on Biomedical Engineering, 58 (12, Part 2) (2011), 3440–3442.CrossRefGoogle Scholar
[16]Solovchuk, M. A., Sheu, T. W. H., Thiriet, M., Simulation of nonlinear Westervelt equation for the investigation of acoustic streaming and nonlinear propagation effects, J. Acoust. Soc. Am., 134 (2013), 3931–3942.Google Scholar
[17]O’Neil, H. T., Theory of focusing radiators, J. Acoust. Soc. Am. 21(5) (1949) 516–526.Google Scholar
[18]Pennes, H. H., Analysis of tissue and arterial blood temperature in the resting human forearm, J. Appl. Physiol., 1 (1948), 93–122.Google Scholar
[19]Solovchuk, M. A., Sheu, T. W. H., Thiriet, M., Lin, W. L., On a computational study for investigating acoustic streaming and heating during focused ultrasound ablation of liver tumor, J. of Applied Thermal Engineering, 56 (2013), 62–76.Google Scholar
[20]Solovchuk, M. A., Sheu, T. W. H., Lin, W. L., Kuo, I., and Thiriet, M., Simulation study on acoustic streaming and convective cooling in blood vessels during a high-intensity focused ultrasound thermal ablation, Int. J. Heat and Mass Transfer, 55 (2012), 1261–1270.Google Scholar
[21]Hamilton, M. F., Blackstock, D. T., Nonlinear Acoustics, Academic Press, Boston, 1998.Google Scholar
[22]Hallaj, I., Cleveland, R., FDTD simulation of finite-amplitude pressure and temperature fields for biomedical ultrasound, J. Acoust. Soc. Am. 105(5) (1999) L7–L12.CrossRefGoogle ScholarPubMed
[23]Solovchuk, M. A., Sheu, T. W.H., Thiriet, M., Effects of acoustic nonlinearity and blood flow cooling during HIFU treatment, AIP Conf. Proc., 1503 (2012), 83–88.Google Scholar
[24]Huang, J., Holt, R. G., Cleveland, R. O., Roy, R. A., Experimental validation of a tractable medical model for focused ultrasound heating in flow-through tissue phantoms, J. Acoust. Soc. Am. 116(4) (2004) 2451–2458.Google Scholar
[25]Pauly, H., Schwan, H. P., Mechanism of Absorption of Ultrasound in Liver Tissue, The Journal of the Acoustical Society of America, 50 (1971), 692–699.Google Scholar
[26]Bailey, M., Khokhlova, V., Sapozhnikov, O., Kargl, S., Crum, L., Physical mechanism of the therapeutic effect of ultrasound (A review), Acoust. Physics, 49(4) (2003) 369–388.Google Scholar
[27]Filonenko, E. A., Khokhlova, V. A., Effect of acoustic nonlinearity on heating of biologocal tissue by high-intensity focused ultrasound, Acoust. Physics 47(4) (2001) 468–475.Google Scholar
[28]Duck, F. A., Physical Property of Tissues - A comprehensive reference book, Academic, London, 1990.Google Scholar
[29]Thiriet, M., Biology and Mechanics of Blood Flows. Part I: Biology, Springer, New York, 2008Google Scholar
[30]Sheu, T. W. H., Solovchuk, M. A., Chen, A. W. J., Thiriet, M., On an acoustics-thermal-fluid coupling model for the prediction of temperature elevation in liver tumor, Int. J. Heat and Mass Transfer, 54(17-18) (2011) 4117–4126.Google Scholar
[31]Kamakura, T., Matsuda, M., Kumamoto, Y., Breazeale, M.A., Acoustic streaming induced in focused Gaussian beams, J. Acoust. Soc. Am. 97 (1995) 2740–2746.Google Scholar
[32]Nyborg, W. L., Acoustic Streaming in: Hamilton MF, Blackstock DT (Eds.), Nonlinear Acoustics, (Academic Press, San Diego, 1998), Ch. 7.Google Scholar
[33]Blackstock, D. T., Connection between the Fay and Fubini solutions for plane sound waves of finite amplitude, J. Acoust. Soc. Am., 14 (1966) 1019–1026.Google Scholar
[34]Solovchuk, M. A., Hwang, S. C., Chang, H., Thiriet, M., Sheu, T. W. H., Temperature elevation by HIFU in ex-vivo porcine muscle: MRI measurement and simulation study, Medical Physics, 41 (2014), 052903.Google Scholar
[35]Yang, X., Cleveland, R. O., Time domain simulation of nonlinear acoustic beams generated by rectangular pistons with application to harmonic imaging, J. Acoust. Soc. Am., 117 (2005) 113–123.Google Scholar
[36]Leslie, T., Ritchie, R., Illing, R., Ter Haar, G., Phillips, R., Middleton, M., Wu, F., Cranston, D.,. High-intensity focused ultrasound treatment of liver tumours: post-treatment MRI correlates well with intra-operative estimates of treatment volume, The British Journal of Radiology, 85 (2012), 1363–1370.CrossRefGoogle ScholarPubMed
[37]Zhang, L., Zhu, H., Jin, C., Zhou, K., Li, K., Su, H., Chen, W., Bai, J., Wang, Z., High-intensity focused ultrasound (HIFU): effective and safe therapy for hepatocellular carcinoma adjacent to major hepatic veins, Eur. Radiol. 19 (2009) 437–445.Google Scholar
[38]Solovchuk, M. A., Sheu, T. W. H., Computational model for investigating acoustic hemostasis, in proceedings of “Int. Workshop on Computational Science and Engineering” PoS(IWCSE 2013) 019.Google Scholar