In Silico and In Vitro Based Analyses of Thermal Behavior of Breast Tissue
ANKARA International Congress on Scientific Research -IX, Ankara, Türkiye, 26 - 29 Aralık 2023, ss.2616-2625, (Tam Metin Bildiri)
- Yayın Türü: Bildiri / Tam Metin Bildiri
- Basıldığı Şehir: Ankara
- Basıldığı Ülke: Türkiye
- Sayfa Sayıları: ss.2616-2625
- Açık Arşiv Koleksiyonu: AVESİS Açık Erişim Koleksiyonu
- Manisa Celal Bayar Üniversitesi Adresli: Evet
Özet
Breast cancer is the most diagnosed cancer in all genders and remains the deadliest cancer type among women. Early diagnosis is a crucial factor in improving the chances of survival for breast cancer patients. Existing imaging techniques fall short of accurately detecting all abnormalities in breast tissue, necessitating the development of more effective and economical diagnostic methods. To address this need, new technologies such as Infrared Thermal Imaging (ITI) are being developed. In this study, the success of ITI in breast cancer detection was evaluated in both in silico (computer-based) and in vitro (experimental) environments. For in silico analyses, a model resembling real breast tissue was created using the COMSOL Multiphysics program-Bioheat Transfer module. The necessary boundary conditions and tissue structure were defined for the analysis. In the in vitro environment analyses, a phantom tissue mimicking breast tissue was produced using Dragon Skin Medium Silicone, and electrical resistors were employed to simulate tumor-like structures. In silico and in vitro environments, studies have been conducted on tumor tissues with various metabolic rates, and the thermal images obtained were analyzed using MATLAB. According to the results of the analysis, it has been observed that with an increase in metabolic rate, the temperature values on the surface of the breast originating from the tumor structure and the width of temperature profiles increase. In other words, as the metabolic rate and malignancy of the tumor increase, the detection process with ITI becomes easier. These analyses were conducted not only to demonstrate the reliability of ITI in tumor detection but also to assess its success in clinical applications in advance.