A study of prediction model of lung dose in early stage non-small cell lung cancer with stereotactic body radiotherapy
10.3760/cma.j.issn.1004-4221.2020.02.006
- VernacularTitle: 早期非小细胞肺癌立体定向放疗肺剂量预测研究
- Author:
Xue BAI
1
;
Binbing WANG
;
Kainan SHAO
;
Yiwei YANG
;
Guoping SHAN
;
Ming CHEN
Author Information
1. Key Laboratory of Radiation Oncology in Zhejiang Provience, Department of Radiation Physics, Zhejiang Cancer Hospital, hangzhou 310022, China
- Publication Type:Journal Article
- Keywords:
Lung neoplasm/stereotactic body radiotherapy;
Machine learning;
Dose volume histogram
- From:
Chinese Journal of Radiation Oncology
2020;29(2):106-110
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To study a lung dose prediction method for the early stage non-small cell lung cancer (NSCLC) treated with stereotactic body radiotherapy based on machine learning algorithm, and to evaluate the feasibility of application in planning quality assurance.
Methods:A machine learning algorithm was utilized to achieve DVH prediction. First, an expert plan dataset with 125 cases was built, and the geometric features of ROI, beam angle and dose-volume histogram(DVH) parameters in the dataset were extracted. Following a correlation model was established between the features and DVHs. Second, the geometric and beam features from 10 cases outside the training pool were extracted, and the model was adopted to predict the achievable DVHs values of the lung. The predicted DVHs values were compared with the actual planned results.
Results:The mean squared errors of external validation for the 10 cases in mean lung dose (MLD)MLD and V20 of the lung were 91.95 cGy and 3.12%, respectively. Two cases whose lung doses were higher than the predicted values were re-planned, and the results showed that the the lung doses were reduced.
Conclusion:It is feasible to utilize the anatomy and beam angle features to predict the lung DVH parameters for plan evaluation and quality assurance in early stage NSCLC patients treated with stereotactic body radiotherapy
