Skip to main content
Log in

Analysis of the temperature influence on thermophysical properties in the three-dimensional numerical modeling of heat transfer in human biological tissue in the presence of a cancerous tumor

  • Original Paper
  • Published:
Brazilian Journal of Chemical Engineering Aims and scope Submit manuscript

Abstract

The proposed work consists of the analysis of the temperature influence on thermophysical properties in the three-dimensional computational numerical simulation of heat transfer in human biological tissue in the presence of a tumor. The tissue consists of layers of muscle, fat, and skin. The tumor was considered in the muscle layer. The Pennes model was used to describe the heat diffusion in the tissues. Two approaches were analyzed, one with constant thermophysical properties and the other with temperature dependent properties. In addition, two distinct cases were analyzed, one in which the tumor is already developed and another where it is still in the development stage. The temperature profile showed small differences between the approaches; however, the difference of the temperature gradient is noteworthy. The model with constant properties tends to overestimate the temperatures and to underestimate the temperature gradients. In general, the lower the temperature levels in the tissues, the greater the differences between the approaches.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6

Similar content being viewed by others

Availability of data and material

Not applicable.

References

  • American National Standard (2009) Standard for verification and validation in computational fluid dynamics and heat transfer - The American Scociety of Mechanical Engineers (ASME) V&V 20-2009. New York, United States of America

  • Anderson WK, Bonhaus DL (1994) An implicit upwind algorithm for computing turbulent flows on unstructured grids. Comput Fluids 23:1–21

    Article  CAS  Google Scholar 

  • Astefanoaei I, Stancu A (2019) A computational study of the bioheat transfer in magnetic hyperthermia cancer therapy. J Appl Phys 125:1–10

    Article  Google Scholar 

  • Bezerra LA, Ribeiro RR, Lyra PRM, Lima RCF (2020) An empirical correlation to estimate thermal properties of the breast and of the breast nodule using thermographic images and optimization techniques. Int J Heat Mass Transf 149:1–15

    Article  Google Scholar 

  • Bhowmik A, Repaka R, Mishra SC (2014) Thermographic evaluation of early melanoma within the vascularized skin using combined non-Newtonian blood flow and bioheat models. Comput Biol Med 53:206–219

    Article  Google Scholar 

  • Bohannon RW (1997) Comfortable and maximum walking speed of adults aged 20–79 years: reference values and determinants. Age Ageing 26:15–19

    Article  CAS  Google Scholar 

  • Browning RC, Baker EA, Herron JA, Kram R (2006) Effects of obesity and sex on the energetic cost and preferred speed of walking. J Appl Physiol 100:390–398

    Article  Google Scholar 

  • Das K, Mishra SC (2015) Simultaneous estimation of size, radial and angular locations of a malignant tumor in a 3-D human breast—a numerical study. J Therm Biol 52:147–156

    Article  Google Scholar 

  • Deng ZS, Liu J (2004) Mathematical modeling of temperature mapping over skin surface and its implementation in thermal disease diagnostics. Comput Biol Med 34:495–521

    Article  Google Scholar 

  • Dřiždǎl T, Togni P, Víšek L, Vrba J (2010) Comparison of constant and temperature dependent blood perfusion in temperature prediction for superficial hyperthermia. Radioengineering 19:281–289

    Google Scholar 

  • Dutta J, Kundu B (2019) Exact analytical formulation of three-dimensional Pennes bioheat model in regional hyperthermia with modified initial condition. Journal of The Institution of Engineers (India): Series C:1–9

  • Fiala D, Lomas KJ, Stohrer M (1999) A computer model of human thermoregulation for a wide range of environmental conditions: the passive system. J Appl Physiol 87:1957–1972

    Article  CAS  Google Scholar 

  • Figueiredo AA, Fernandes HC, Malheiros FC, Guimaraes G (2020) Influence analysis of thermophysical properties on temperature profiles on the breast skin surface. Int Commun Heat Mass Transfer 111:1–13

    Article  Google Scholar 

  • Fruth SJ, Fawcett C (2019) Fundamentals of tests and measures for the physical therapist assistant. Jones & Bartlett Learning, Burlington

  • Gautherie M (1980) Thermopathology of breast cancer: measurement and analysis of in vivo temperature and blood flow. Ann N Y Acad Sci 335:383–415

    Article  CAS  Google Scholar 

  • Hristov J (2019) Bio-heat models revisited: concepts, derivations, nondimensalization and fractionalization approaches. Front Phys 7:1–37

    Article  Google Scholar 

  • Jemal A, Bray F, Ferlay J, Center MM, Ward E, Forman D (2011) Global cancer statistics. CA Cancer J Clin 61:69–90

    Article  Google Scholar 

  • Kumar A, Kumar S, Katiyar VK, Telles S (2017) Phase change heat transfer during cryosurgery of lung cancer using hyperbolic heat conduction model. Comput Biol Med 84:20–29

    Article  Google Scholar 

  • Kurazumi Y, Rezgals L (2014) Convective heat transfer coefficients of the human body under forced convection from ceiling. Journal of Ergonomics 4:1–6

    Google Scholar 

  • Kurazumi Y, Tsuchikawa T, Ishii J, Fukagawa K, Yamato Y, Matsubara N (2008) Radiative and convective heat transfer coefficients of the human body in natural convection. Build Environ 43:2142–2153

    Article  Google Scholar 

  • Lang J, Erdmann B, Seebass M (1999) Impact of nonlinear heat transfer on temperature control in regional hyperthermia. IEEE Trans Biomed Eng 46:1129–1138

    Article  CAS  Google Scholar 

  • Liu J, Xu LX (2000) Boundary information based diagnostics on the thermal states of biological bodies. Int J Heat Mass Transf 43:2827–2839

    Article  Google Scholar 

  • Melo AR, Loureiro MMS, Loureiro FS (2017) Blood perfusion parameter estimation in tumors by means of a genetic algorithm. Procedia Comput Sci 108:1384–1393

    Article  Google Scholar 

  • Miaskowski A, Subramanian M (2019) Numerical model for magnetic fluid hyperthermia in a realistic breast phantom: Calorimetric calibration and treatment planning. Int J Mol Sci 20:1–12

    Article  Google Scholar 

  • Mishriky F, Walsh P (2017) Towards understanding the influence of gradient reconstruction methods on unstructured flowsimulations. Trans Can Soc Mech Eng 41:169–179

    Article  Google Scholar 

  • Ng EYN, Sudharsan NM (2001) An improved three-dimensional direct numerical modelling and thermal analysis of a female breast with tumour. In: Proceedings of the Institution of Mechanical Engineers, Part H: Journal of Engineering in Medicine 25–37

  • Oria EJR, Cabrales LEB, Reyes JB (2019) Analytical solution of the bioheat equation for thermal response induced by any electrode array in anisotropic tissues with arbitrary shapes containing multiple-tumor nodules. Revista Mexicana De Física 65:284–290

    Article  Google Scholar 

  • Pennes HH (1948) Analysis of tissue and arterial blood temperatures in the resting human forearm. J Appl Physiol 1:93–122

    Article  CAS  Google Scholar 

  • Reis RF, Loureiro FS, Lobosco M (2016) 3D numerical simulations on GPUs of hyperthermia with nanoparticles by a nonlinear bioheat model. J Comput Appl Math 295:35–47

    Article  Google Scholar 

  • Saniei E, Setayeshi S, Akbari ME, Navid M (2016) Parameter estimation of breast tumour using dynamic neural network from thermal pattern. J Adv Res 7:1045–1055

    Article  Google Scholar 

  • Sarkar D, Haji-Sheikh A, Jain A (2015) Temperature distribution in multi-layer skin tissue in presence of a tumor. Int J Heat Mass Transf 91:602–610

    Article  Google Scholar 

  • Satapathy SC, Mandal JK, Udgata SK, Bhateja V (2016) Information systems design and intelligent applications. Adv Intell Syst Comput 2:219–223

    Google Scholar 

  • Da Silva FAS, De Campos MF (2020) Study of heating curves generated by magnetite nanoparticles aiming application in magnetic hyperthermia. Braz J Chem Eng 1–11

  • Stewart BW, Wild CP (2014) World cancer report 2014. World Health Organization 630

  • Theodorescu D (2004) Cancer cryotherapy: evolution and biology. Rev Urol 6:9–19

    Google Scholar 

  • Valvano JW, Cochran JR, Diller KR (1985) Thermal conductivity and diffusivity of biomaterials measured with self-heated thermistors. Int J Thermophys 6:301–311

    Article  Google Scholar 

  • Werner J, Buse M (1988) Temperature profiles with respect to inhomogeneity and geometry of the human body. J Appl Physiol 65:1110–1118

    Article  CAS  Google Scholar 

  • Yiu WK, Basco MT, Aruny JE, Cheng SW, Sumpio BE (2007) Cryosurgery: a review. Int J Angiol 16:1–6

    Article  Google Scholar 

  • Zhang H (2008) Lattice Boltzmann method for solving the bioheat equation. Phys Med Biol 53:1–10

    Article  Google Scholar 

  • Zhang J, Sandison GA, Murthy JY, Xu LX (2005) Numerical simulation for heat transfer in prostate cancer cryosurgery. J Biomech Eng 127:279–294

    Article  Google Scholar 

  • Zhu Q, Zhang A, Liu P, Xu LX (2012) Study of tumor growth under hyperthermia condition. Comput Math Methods Med 2012:1–9

    Article  Google Scholar 

Download references

Funding

This study was financed in part by the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior—Brasil (CAPES)—Finance Code 001.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Andréa Oliveira Souza da Costa.

Ethics declarations

Conflict of interest

On behalf of all authors, the corresponding author states that there is no conflict of interest.

Code availability

Not applicable.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

da Silva, M.L.F., da Costa, A.O.S. & Huebner, R. Analysis of the temperature influence on thermophysical properties in the three-dimensional numerical modeling of heat transfer in human biological tissue in the presence of a cancerous tumor. Braz. J. Chem. Eng. 38, 823–836 (2021). https://doi.org/10.1007/s43153-021-00144-z

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s43153-021-00144-z

Keywords

Navigation