Breast Cancer Screening Using Inverse Modeling of Surface Temperatures and Steady-State Thermal Imaging
Department
Oncology and Hematology
Additional Department
Radiology
Document Type
Article
Publication Title
Cancers
Abstract
Cancer is characterized by increased metabolic activity and vascularity, leading to temperature changes in cancerous tissues compared to normal cells. This study focused on patients with abnormal mammogram findings or a clinical suspicion of breast cancer, exclusively those confirmed by biopsy. Utilizing an ultra-high sensitivity thermal camera and prone patient positioning, we measured surface temperatures integrated with an inverse modeling technique based on heat transfer principles to predict malignant breast lesions. Involving 25 breast tumors, our technique accurately predicted all tumors, with maximum errors below 5 mm in size and less than 1 cm in tumor location. Predictive efficacy was unaffected by tumor size, location, or breast density, with no aberrant predictions in the contralateral normal breast. Infrared temperature profiles and inverse modeling using both techniques successfully predicted breast cancer, highlighting its potential in breast cancer screening.
First Page
2264
DOI
10.3390/cancers16122264
Volume
16
Issue
12
Publication Date
6-19-2024
PubMed ID
38927969
Recommended Citation
Sritharan, N., Gutierrez, C., Perez-Raya, I., Gonzalez-Hernandez, J., Owens, A., Dabydeen, D., Medeiros, L., Kandlikar, S., & Phatak, P. (2024). Breast Cancer Screening Using Inverse Modeling of Surface Temperatures and Steady-State Thermal Imaging. Cancers, 16 (12), 2264. https://doi.org/10.3390/cancers16122264