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Cancer identification and treatment are among the most crucial areas of concentration in the current days as the death rate from cancer is growing. Compared to other cancers, breast cancer is treatable if detected at an early stage (stage 0, stage 1). Thermography is one of the many approaches on which thorough investigation is going on. Breast cancer detection using thermography relies on the temperature rise caused by tumors. This study simulates the skin temperature profile of breasts with tumors, focusing on blood perfusion rates and tumor shape/size effects. Using COMSOL Multiphysics and the finite element method, we analyzed tumors of stage 1 cancer at various depths. Results show that prolate tumors increase skin temperature by 0.2–0.3 ℃ more than spherical tumors, while oblate tumors have a 0.4–0.6 ℃ lesser effect. Breast density also impacts detection, with fatty breasts showing minimal temperature increase for deeper tumors. Our quantitative analysis provides insights to enhance thermography-based breast cancer detection.

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Investigating the Influence of Blood Perfusion Rates on Thermal Patterns in Cancerous Breast Tissue

  • 会议论文

  • 发表日期：

    2026年

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  • Varthya Lava Kumar,
  • Aiswarya Manammal,
  • Pandiyarasan Veluswamy,
  • Karthik Chandrasekaran

摘要

Cancer identification and treatment are among the most crucial areas of concentration in the current days as the death rate from cancer is growing. Compared to other cancers, breast cancer is treatable if detected at an early stage (stage 0, stage 1). Thermography is one of the many approaches on which thorough investigation is going on. Breast cancer detection using thermography relies on the temperature rise caused by tumors. This study simulates the skin temperature profile of breasts with tumors, focusing on blood perfusion rates and tumor shape/size effects. Using COMSOL Multiphysics and the finite element method, we analyzed tumors of stage 1 cancer at various depths. Results show that prolate tumors increase skin temperature by 0.2–0.3 ℃ more than spherical tumors, while oblate tumors have a 0.4–0.6 ℃ lesser effect. Breast density also impacts detection, with fatty breasts showing minimal temperature increase for deeper tumors. Our quantitative analysis provides insights to enhance thermography-based breast cancer detection.