Establishing a new bio-mathematical model, named quantitative LQ-based (qLQB) model, that can evaluate the radio-toxicity of lung. We assume that each Function Subunit (FSU) of lung is equal and representative in functional status. Based on the Linear-Quadratic model (LQ model), we had derived a model to calculate the ratio/percent (R/P) between damaged cell/FSU and entire cell/FSU of lung for radiation dose response. We can analyse radiation pneumonia probability (RPP) based on the R/P. Forty-five 3D plans from forty-five randomly selected lung cancer patients were generated using the ELEKTA precise 2.12 treatment planning system. The qLQB was tested against the widely used Lyman-Kutcher-Burman model (LKB model). There was no distinct statistical difference in analyzing RPP between using the qLQB model and the LKB model (p = 0.412). The proposed qLQB model was found to be efficient and reliable for analyzing RPP.
Keywords: Lyman-Kutcher-Burman (LKB) model; Quantitative LQ-based (qLQB) model; Radiation pneumonia probability..
© The Author(s) 2014.