Radiotherapy Optimization for Lung Cancer Based on Medical Image Analysis Technique
- VernacularTitle:基于医学图像分析技术的肺癌放射治疗的优化
- Author:
Wensong HONG
;
Wufan CHEN
- Publication Type:Journal Article
- Keywords:
Medical image analysis;
Lung cancer;
Radiotherapy
- From:
Journal of Medical Research
2006;0(05):-
- CountryChina
- Language:Chinese
-
Abstract:
Objective To evaluate the feasibility of using medical image analysis for adaptive radiotherapy of lung cancer by drawing the individual contours automatically or interactively and adjusting the planning target volume weekly for reducing the volume of the excessive irradiated normal lung tissue.Methods Many CT images of the GTV and dynamic X-ray fluoroscope data of 23 patients were acquired and all the data were used for working out the tumor radiotherapy plan(TPS) and positioning the patient and to measure reduction in GTV volume.A planning study was conducted to determine the amount of lung-sparing that could have been achieved if adaptive therapy had been used.Treatment plans were created in which the target volumes were reduced after tumor reduction was measured.Results A total of 6313 CT imaging sessions and 78 groups of X-ray dynamic fluoroscope data were performed on 23 lung patients.The GTV was reduced by 70%～80% during the course of treatment.Based on these treatment planning studies,the dose of ipsilateral lung can be reduced significantly by adapting the treatment delivery.Conclusion Medical image analysis can be used to position the GTV and CTV of the tumors.This technology can help to work out the individual TPS and adjust the radiotherapy treatment plan adaptively during the course of treatment and reduce the dose of normal tissues as well as insure the effect of tumor treatment.
