Application of EPID-based 3D dose reconstruction in cancer patients
10.3760/cma.j.issn.1004-4221.2018.11.007
- VernacularTitle:基于EP ID三维剂量重建在肿瘤患者中应用
- Author:
Yucheng LI
1
;
Pinjing CHENG
;
Lu JIANG
;
Jian WANG
;
Jianlong LI
;
Kainan SHAO
;
Weijun CHEN
Author Information
1. 浙江省人民医院放疗科/杭州医学院附属人民医院
- Keywords:
Electronic Portal Imaging Device;
Dose reconstruction;
Dose verification;
Gamma passing rate
- From:
Chinese Journal of Radiation Oncology
2018;27(11):984-988
- CountryChina
- Language:Chinese
-
Abstract:
Objective To perform 3D dose reconstruction based on electronic portal imaging device ( EPID) of linear accelerator for the static intensity-modulated using Edose, a dose verification system, Aiming to assist the radiotherapy professionals to better understand the radiotherapy organs at risk and target dose changes. Methods CBCT image was acquired for patients with head and neck cancer and thoracic cancer once a week for a total of six times. Subsequently,CBCT images and planning CT images were subject to rigid registration and exported to the Edose software. According to the setup error, EPID-based three-dimensional dose reconstruction was performed by using Edose software. The gamma passing rate and dose of different organs at risk ( OARs ) were analyzed and statistically compared. Results For patients with nasopharyngeal carcinoma,the intra-fractional Dmax of the spinal cord was more significantly fluctuated and higher compared with the planning dose, whereas the intra-fractional Dmax of the brainstem did not significantly fluctuate. The V30 of the parotid gland significantly changed with a maximum increase of 28. 69％ per fraction. For patients with thoracic tumors,the Dmax of the spinal cord was slightly changed,and the actual doses in the lung and heart were higher than the planning doses. The average deviation of the pulmonary V5 was up to 16. 99％ between the actual and planning doses with statistical significance ( P<0. 05).According to the analysis of gamma passing rate,significant dose changes occurring in the OARs were detected in the 16th fraction for the head and neck cancer and the 24th fraction for the thoracic neoplasms. Conclusions The dose changes in the OARs can be obtained by reconstructing the EPID-based 3D dose distribution using the Edose software for each fraction, which can better protect the OAR, enhance the coverage of target dose and provide certain reference for dose-guided and self-adaptive radiotherapy.
