Three-dimensional biologically effective dose model for stratification and prediction of lung fibrosis(PDF)
《中国医学物理学杂志》[ISSN:1005-202X/CN:44-1351/R]
- Issue:
- 2018年第7期
- Page:
- 749-752
- Research Field:
- 医学放射物理
- Publishing date:
Info
- Title:
- Three-dimensional biologically effective dose model for stratification and prediction of lung fibrosis
- Author(s):
- GENG Jiwu1; LIU Hao2; LI Ziyao3; LU Shun4; WEN Lei5; REN Hua6; ZHOU Zhaoming7; CHEN Ming8; CHEN Longhua9; ZHOU Cheng8; 9
- 1. Guangdong Province Hospital for Occupational Disease Prevention and Treatment, Guangzhou 510300, China; 2. Department of General Surgery, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China; 3. Department of Urology, the First Affiliated Hospital of Dalian Medical University, Dalian 116011, China; 4. Department of Radiation Oncology, Sichuan Cancer Hospital & Institute, University of Electronic Science and Technology of China, Chengdu 610041, China; 5. Department of Clinical Oncology, Xijing Hospital, the Fourth Military Medical University, Xi’an 710032, China;
- Keywords:
- ; Keywords: female mice; biologically effective dose; radiation-induced lung fibrosis; dose-response curve; radiobiology
- PACS:
- R811.5
- DOI:
- DOI:10.3969/j.issn.1005-202X.2018.07.002
- Abstract:
- Abstract: Objective To establish a three-dimensional (3D) biologically effective dose (BED) prediction model based on lung fibrosis-related radiological parameters. Methods BED and mathematical modeling were performed on the results of 1-fraction and multi-fraction irradiation. C57BL6 female mice aged from 8 to 10 weeks which were randomly divided into 1-fraction group and 5-fraction group received X-ray whole lung irradiation. The dose gradients for 1-fraction group were 0.0, 10.5, 12.5, 14.5, 17.5 and 20.0 Gy, respectively; the 5-fraction group was delivered with 0.0, 2.0, 4.0, 6.0, 7.0 and 8.5 Gy per fraction, with a total of 5 fractions. Computed tomography (CT) imaging was performed at 24 weeks after irradiation. The average lung density and volume changes were obtained by 3D segmentation algorithm. Results BED dose-response relationships based on CT lung density as well as CT lung volume were investigated. The median dose (half effective dose, ED50) for radiation-induced lung density changes was (68.17±10.53) Gy (adjusted R2=0.89); whereas the median dose (ED50) for radiation-induced lung volume reduction was (84.12±19.70) Gy (adjusted R2=0.94). A good linear correlation between CT lung density and CT lung volume was demonstrated with the use of linear regression analysis (R2 = 0.96, P<0.000 1). According to this important finding, a dual CT parameters based 3D-BED model was established for stratification and prediction of pulmonary fibrosis. Conclusion A 3D-BED model is firstly proposed to achieve a precise stratification and prediction of lung fibrosis after exposing with different radiation doses, establishing a radiobiological basis for future radiobiological studies on partial lung field irradiation and the development of novel anti-fibrotic agents.
Last Update: 2018-07-24