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Feasibility Study for Local Hyperthermia of Breast Tumors: A 2D Modeling Approach

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Intelligent Computing and Networking

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 301))

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Abstract

This communication presents efficient focusing of radiofrequency for the non-invasive local hyperthermia treatment (HT) of breast tumors. Hyperthermia technique is used to raise the tumor temperature from 42–45 °C. In this combinational therapy, controlled heating at tumor site plays a vital role in the success of HT; else it creates hotspots on surrounding area of the treatment site. In this communication we are presenting mathematical analysis for the temperature distribution during the HT, Computational complexity for effective focusing of radio waves on tumor sites, and 2D modeling of breast model for testing the feasibility of HT. Pennes bio-heat equation is used for thermal analysis of tumor and healthy tissue in MATLAB environment, whereas thermal conduction parameters of 2D breast model are acquired from finite element method by imposing radiation, and convection boundary conditions. Heat flow modeling and electrostatic modeling of the 2D breast model with two tumors is carried out. 2D modeling result shows that HT is safe and reliable if temperature parameters are maintained in the safe limit, avoids hotspots on healthy surrounding tissue and reduces toxicity to a greater extent. Also, the obtained results for magnitude of electric flux density, heat flow in the tumors shows higher efficiency, with minimized hotspots.

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Acknowledgment

The authors would like to thank management and Principal, Ramrao Adik Institute of Technology, Nerul, Navi Mumbai, and Dr BATU for the research facility and support provided in the research.

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Correspondence to Jaswantsing Rajput .

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Rajput, J., Nandgaonkar, A., Nalbalwar, S., Wagh, A., Huilgol, N. (2022). Feasibility Study for Local Hyperthermia of Breast Tumors: A 2D Modeling Approach. In: Balas, V.E., Semwal, V.B., Khandare, A. (eds) Intelligent Computing and Networking. Lecture Notes in Networks and Systems, vol 301. Springer, Singapore. https://doi.org/10.1007/978-981-16-4863-2_22

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