V.Yu. Gorelova1, L.V. Zhorina2, F.V. Manucharyan3, A.I. Plokhikh4, A.A.R. Flores5

1–5 Bauman Moscow State Technical University (Moscow, Russia)
 

Infrared thermography provides information about the thermophysiology of the studied biological object. The method of infrared thermography is a promising method for studying homeostasis disorders in oncological diseases. The development of an adequate mathematical model will make it possible to more accurately understand the heat transfer processes that lead to a change in the temperature pattern on the skin surface. By a rational choice of an analogue material, it is planned to create a mock-up of the female breast with similar thermophysical properties, close primarily to the thermal properties of living tissues. This should make it possible to implement a distribution of temperature fields similar to a biological object, which will make it possible to simulate pathological areas inside the mock-up.

Objective of study is to model the thermal properties of the female mammary gland in the presence of pathology by construction and mathematical methods.

To simulate thermodynamic processes during the development of a cancerous tumor in the mammary gland, a stationary three-dimensional problem of heat conduction is considered, taking into account heat exchange with the environment. The full-featured mathematical package Elmer FEM solver was used in the solution. To construct the mock-up, a scheme of a biotechnical system was developed and materials were selected for its implementation.

The mock-up of the breast can be requested to compare the accuracy of medical devices designed for IR thermography, including for checking the quality of imaging at the time of maintenance or after repair of devices, teaching medical students and practicing physicians the method of IR thermographic diagnostics.

Gorelova V.Yu., Zhorina L.V., Manucharyan F.V., Plokhikh A.I., Flores A.A.R. Modeling of the female breast thermal properties. Bio­medicine Radioengineering. 2023. V. 26. № 2. P. 63–68. DOI: https://doi.org/ 10.18127/ j15604136-202302-10 (In Russian)

1. Nikityuk D.B., Gurevich K.G., Urakov A.L., Urakova N.A., Gadel'shina A.A. Teplovizor kak diagnosticheskij pribor, obespechivayushchij samokontrol' molochnyh zhelez v bytovyh usloviyah. Kreativnaya hirurgiya i onkologiya. 2017. № 2. S. 28–33. DOI: 10.24060/2076-3093-2017-7-2-28-33 (In Russian).
2. Kandlikar S.G., Perez-Raya I., Raghupathi P.A., Gonzalez-Hernandez J.L., Dabydeen D., Medeiros L., Phatak P. Infrared imaging technology for breast cancer detection–Current status, protocols and new directions. International Journal of Heat and Mass Transfer. 2017. V. 108. P. 2303–2320. DOI: 10.1016/j.ijheatmasstransfer.2017.01.086.
3. Marchena-Menéndeza J., Ramírez-Torresb A., Pentac R., Rodríguez-Ramosa R., Merodio J. Macroscopic thermal profile of heterogeneous cancerous breasts. A three-dimensional multiscale analysis. International Journal of Engineering Science. 2019. V. 144. P. 103135. DOI: https://doi.org/10.1016/j.ijengsci.2019.103135.
4. Das K., Mishra S.C. Simultaneous estimation of size, radial and angular locations of a malignant tumor in a 3-D human breast–A numerical study. Journal of thermal biology. 2015. V. 52. P. 147–156.
5. Zhou Y., Herman C. Optimization of skin cooling by computational modeling for early thermographic detection of breast cancer. International Journal of Heat and Mass Transfer. 2018. V. 126. P. 864–876.
6. Alifanov O.M., Artyuhin E.A. Ekstremal'nye metody resheniya nekorrektnyh zadach i ih prilozheniya k obratnym zadacham teploobmena. M.: Nauka. 1988. C. 9–10 (In Russian).
7. Panteleev I.A., Plekhov O.A., Najmark O.B. Mekhanobiologicheskoe issledovanie strukturnogo gomeostaza v opuholyah po dannym infrakrasnoj termografii. Fizicheskaya mezomekhanika. 2012. T. 15. № 3. S. 105–113 (In Russian).
8. Associaciya mikrovolnovoj radiotermometrii v medicine: [Elektronnyj resurs]. (http://www.radiometry.ru/radiometry/). Provereno 28.12.2022 (In Russian).
9. Pushkareva A.E. Metody matematicheskogo modelirovaniya v optike biotkani: Ucheb. posobie. SPb.: SPbGU ITMO. 2008. 103 c. (In Russian).
10. Lozano A., Hayes J. C., Compton L. M., Azarnoosh J., Hassanipour F. Determining the thermal characteristics of breast cancer based on high-resolution infrared imaging, 3D breast scans, and magnetic resonance imaging. Scientific reports. 2020. V. 10. № 1. P. 1–14.
11. Xu F., Lu T.J., Seffen K.A. Biothermomechanical behavior of skin tissue. Acta Mech. Sinica. 2008. V. 24(1). P. 1–23.
12. Mukhmetov O., Igali D., Mashekova A., Zhao Y., Ng E.Y.K., Fok S.C., Teh S.L. Thermal modeling for breast tumor detection using thermography. International Journal of Thermal Sciences. 2021. V. 161. P. 106712.