ELECTROMAGNETISM, OPTICS, ACOUSTICS, HEAT TRANSFER, CLASSICAL MECHANICS, AND FLUID DYNAMICS |
Prev
Next
|
|
|
Effect of bio-tissue deformation behavior due to intratumoral injection on magnetic hyperthermia |
Yundong Tang(汤云东)1,†, Jian Zou(邹建)1, Rodolfo C.C. Flesch2, and Tao Jin(金涛)3 |
1 College of Physics and Information Engineering, Fuzhou University, Fuzhou 350116, China; 2 Departamento de Automação e Sistemas, Universidade Federal de Santa Catarina, 88040-900 Florianópolis, SC, Brazil; 3 College of Electrical Engineering and Automation, Fuzhou University, Fuzhou 350108, China |
|
|
Abstract Thermal damage of malignant tissue is generally determined not only by the characteristics of bio-tissues and nanoparticles but also the nanofluid concentration distributions due to different injection methods during magnetic hyperthermia. The latter has more advantages in improving the therapeutic effect with respect to the former since it is a determining factor for the uniformity of nanofluid concentration distribution inside the tumor region. This study investigates the effect of bio-tissue deformation due to intratumoral injection on the thermal damage behavior and treatment temperature distribution during magnetic hyperthermia, in which both the bio-tissue deformation due to nanofluid injection and the mass diffusion after injection behavior are taken into consideration. The nanofluid flow behavior is illustrated by two different theoretical models in this study, which are Navier-Stokes equation inside syringe needle and modified Darcy's law inside bio-tissue. The diffusion behavior after nanofluid injection is expressed by a modified convection-diffusion equation. A proposed three-dimensional liver model based on the angiographic data is set to be the research object in this study, in which all bio-tissues are assumed to be deformable porous media. Simulation results demonstrate that the injection point for syringe needle can generally achieve the maximum value in the tissue pressure, deformation degree, and interstitial flow velocity during the injection process, all of which then drop sharply with the distance away from the injection center. In addition to the bio-tissue deformation due to injection behavior, the treatment temperature is also highly relevant to determine both the diffusion duration and blood perfusion rate due to the thermal damage during the therapy.
|
Received: 07 March 2022
Revised: 10 May 2022
Accepted manuscript online: 29 May 2022
|
PACS:
|
44.10.+i
|
(Heat conduction)
|
|
44.05.+e
|
(Analytical and numerical techniques)
|
|
87.85.J-
|
(Biomaterials)
|
|
Fund: Project supported by the National Natural Science Foundation of China (Grant No. 62071124), the Natural Science Foundation of Fujian Province, China (Grant No. 2020J01464), the Education Department of Fujian Province, China (Grant No. JAT190013), and the Conselho Nacional de Desenvolvimento Cientifico e Tecnoloico (BR) (CNPq) (Grant No. 309244/2018-8). |
Corresponding Authors:
Yundong Tang
E-mail: tangyundong@fzu.edu.cn
|
Cite this article:
Yundong Tang(汤云东), Jian Zou(邹建), Rodolfo C.C. Flesch, and Tao Jin(金涛) Effect of bio-tissue deformation behavior due to intratumoral injection on magnetic hyperthermia 2023 Chin. Phys. B 32 034304
|
[1] Li K, Xu J W, Li P and Fan Y B 2022 Compos. Pt. B-Eng. 228 109401 [2] Astefanoaei I, Dumitru I, Stancu A and Chiriac H 2014 Chin. Phys. B 23 044401 [3] Mona L P, Songca S P and Ajibade P A 2021 Nanotechnol. Rev. 11 176 [4] Tozri A, Alhalafi S, Alrowaili Z A, Horchani M, Omri A, Skini R, Ghorai S, Benali A, Costa B F O and Ildiz G O 2022 J. Alloys Compd. 890 161739 [5] Sokolovskaya O I, Sergeeva E A, Golovan L A, Kashkarov P K, Khilov A V, Kurakina D A, Orlinskaya N Y, Zabotnov S V and Kirillin M Y 2021 Photonics 8 580 [6] Rezanezhad A, Hajalilou A, Eslami F, Parvini E, Abouzari-Lotf E and Aslibeiki B 2021 J. Mater. Sci. Mater. Electron. 32 24026 [7] Tang Y D, Flesch R C C, Jin T and He M H 2021 Int. J. Heat Mass Transfer. 178 121609 [8] Tang Y D, Jin T and Flesch R C C 2017 IEEE Trans. Magn. 53 5400106 [9] Wang Q L and Chen Y Y 2020 Chin. Phys. B 29 084402 [10] Hervault A and Thanh N T K 2014 Nanoscale 6 11553 [11] Zhai Y, Xie H and Gu H 2009 Int. J. Hyperthermia 25 65 [12] Maier-Hauff K, Rothe R, Scholz R, Gneveckow U, Wust P, Thiesen B, Feussner A, von Deimling A, Waldoefner N, Felix R and Jordan A 2007 J. Neurooncol. 81 53 [13] Wu L, Cheng J J, Liu W Z and Chen X G 2015 IEEE Trans. Magn. 51 4600204 [14] Astefanoaei I, Dumitru I, Chiriac H and Stancu A 2014 IEEE Trans. Magn. 50 7400904 [15] Astefanoaei I, Stancu A and Chiriac H 2017 Eur. Phys. J. Plus 132 89 [16] LeBrun A, Manuchehrabadi N, Attaluri A, Wang F, Ma R H and Zhu L 2013 Int. J. Hyperthermia 29 730 [17] Astefanoaei I and Stancu A 2017 J. Appl. Phys. 122 164701 [18] Di Michele F, Pizzichelli G, Mazzolai B and Sinibaldi E 2015 Math. Biosci. 262 105 [19] Singh M, Ma R H and Zhu L 2021 Int. Commun. Heat Mass Transf. 126 105393 [20] Detournay E and Cheng A H D 1993 Analysis and Design Methods (Oxford: Pergamon) p. 113 [21] Stoverud K H, Darcis M, Helmig R and Hassanizadeh S M 2012 Transp. Porous Media 92 119 [22] Socrates D 2017 Modelling Organs, Tissues, Cells and Devices (Switzerland: Springer) p. 281 [23] Basser P J 1992 Microvasc. Res. 44 143 [24] Chen Z J, Broaddus W C, Viswanathan R R, Raghavan R and Gillies G T 2002 IEEE Trans. Biomed. Eng. 49 85 [25] Hommel J, Coltman E and Class H 2018 Transp. Porous Media 124 589 [26] Netti P A, Baxter L T, Boucher Y, Skalak R and Jain R K 1997 AICHE J. 43 818 [27] Soltani M and Chen P 2011 PLoS One 6 e20344 [28] Sefidgar M, Soltani M, Raahemifar K, Bazmara H, Nayinian S M M and Bazargan M 2014 J. Biol. Eng. 8 12 [29] Sefidgar M, Soltani M, Raahemifar K, Sadeghi M, Bazmara H, Bazargan M and Naeenian M M 2015 Microvasc. Res. 99 43 [30] Moghadam M C, Deyranlou A, Sharifi A and Niazmand H 2015 Microvasc. Res. 101 62 [31] Zhang A L, Mi X P, Yang G and Xu L X 2009 J. Heat Transf. Trans. ASME 131 043209 [32] Pizzichelli G, Di Michele F and Sinibaldi E 2016 Math. Biosci. 272 6 [33] Pennes H H 1998 J. Appl. Physiol. 85 5 [34] Rabienejhad M J, Mazaheri A and Davoudi-Darareh M 2021 Chin. Phys. B 30 048401 [35] Li Y Y and Zhang H C 2020 Chin. Phys. B 29 084401 [36] Rosensweig R E 2002 J. Magn. Magn. Mater. 252 370 [37] Li W Y, Li W T, Li B Q, Dong L J, Meng T H, Huo G, Liang G Y and Lu X G 2021 Chin. Phys. B 30 104402 [38] Purdie T G, Lee T Y, Iizuka M and Sherar M D 2000 Phys. Med. Biol. 45 1115 [39] Marek P 2018 Int. J. Therm. Sci. 130 507 [40] Gas P and Wyszkowska J 2019 Arch. Electr. Eng. 68 521 [41] Paruch M 2020 Materials 13 136 [42] Sun J H, Luo Q, Liu L L, Zhang B Y, Shi Y S, Ju Y and Song G B 2016 J. Biomech. 49 45 [43] Wu M, Frieboes H B, McDougall S R, Chaplain M A J, Cristini V and Lowengrub J 2013 J. Theor. Biol. 320 131 [44] Zheng F D, Hou P, Corpstein C D, Xing L and Li T L 2021 Pharm. Res. 38 607 [45] Garcia J J and Smith J 2009 Ann. Biomed. Eng. 37 375 [46] Hou P, Zheng F, Corpstein C D, Xing L and Li T 2021 Pharm. Res. 38 1011 |
No Suggested Reading articles found! |
|
|
Viewed |
|
|
|
Full text
|
|
|
|
|
Abstract
|
|
|
|
|
Cited |
|
|
|
|
Altmetric
|
blogs
Facebook pages
Wikipedia page
Google+ users
|
Online attention
Altmetric calculates a score based on the online attention an article receives. Each coloured thread in the circle represents a different type of online attention. The number in the centre is the Altmetric score. Social media and mainstream news media are the main sources that calculate the score. Reference managers such as Mendeley are also tracked but do not contribute to the score. Older articles often score higher because they have had more time to get noticed. To account for this, Altmetric has included the context data for other articles of a similar age.
View more on Altmetrics
|
|
|