Quantitative Thermal Imaging Biomarkers to Detect Acute Skin Toxicity from Breast Radiotherapy Using Supervised Machine Learning

Radiation-induced dermatitis is a common side effect of breast radiotherapy (RT). Current methods to evaluate breast skin toxicity include clinical examination, visual inspection, and patient-reported symptoms. Physiological changes associated with radiation-induced dermatitis, such as inflammation, may also increase body-surface temperature which can be detected by thermal imaging. Quantitative thermal imaging markers were identified using supervised machine-learning to develop a predictive model for radiation dermatitis.

Source: International Journal of Radiation Oncology * Biology * Physics - January 22, 2020 Category: Radiology Authors: Khadijeh Saednia, Sami Tabbarah, Andrew Lagree, Tina Wu, Jonathan Klein, Eduardo Garcia, Michael Hall, Edward Chow, Eileen Rakovitch, Charmaine Childs, Ali Sadeghi-Naini, William T. Tran Source Type: research