Abstract

Info

Title:: Lung dose prediction model in coplanar intensity-modulated radiotherapy for thoracic esophageal carcinoma

Author(s):: QIU Minmin; DENG Yongjin; ZHONG Jiajian; XIAO Zhenhua; BAO Yong; Department of Radiation Oncology, the First Affiliated Hospital, Sun Yat-sen University, Guangzhou 510080, China

Keywords:: Keywords: esophageal carcinoma coplanar intensity-modulated radiotherapy lung dose prediction model

Abstract:: Abstract: Objective To construct a lung dose prediction model in coplanar intensity-modulated radiotherapy for thoracic esophageal carcinoma by comprehensively considering planning target volume and lung volume, and the spatial and anatomical?elationships?etween target areas and lungs. Methods The prescription doses of target areas (PGTV, PCTV), target volume, lung volume, and the spatial and position relationships between target areas and lungs in 28 patients with thoracic esophageal carcinoma were selected as the input, while lung dosimetric indexes (V5, V10, V20, V30 and Dmean) were selected as the predicted output. After principal component analysis, multiple nonlinear regression analysis was carried out for obtaining the regression equation to establish the prediction model. Results The predicted values of lung doses were close to the actual values. The relative errors of V5, V10, V20, V30 and Dmean were from -4.37% to 2.08%, -6.53% to 1.09%, -8.99% to 7.17%, -15.93% to 11.75%, and -2.73% to 2.68%, respectively, and the corresponding absolute errors were less than 2.3%, 2.3%, 1.6%, 0.9% and 31.7 cGy, respectively. Conclusion The prediction model which has a high accuracy in lung dose prediction in coplanar intensity-modulated radiotherapy for thoracic esophageal carcinoma can be used as a guidance and planning evaluation tool for esophageal carcinoma radiotherapy planning.