A Quantitative LQ-based Model for Lung Injury in Radiotherapy. (October 2015)

• Record Type: Journal Article
• Authors: Wang, Li; Li, Wenhui; Bai, Han; Cui, Jianguo; Qin, Jiyong; Chang, Li
• Is Part Of: Technology in cancer research & treatment. Volume 14:Number 5(2015:Oct.)
• Page Start: 531
• Page End: 538
• Publication Date: 2015-10
• Subjects: Lyman-Kutcher-Burman (LKB) model -- Quantitative LQ-based (qLQB) model -- Radiation pneumonia probability.; Oncology -- Periodicals; Cancer -- Diagnosis -- Periodicals; Cancer -- Treatment -- Technological innovations -- Periodicals; 616.994
• DOI: 10.7785/tcrt.2012.500439
• Languages: English
• ISSNs: 1533-0346

Abstract

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.