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Set-up Errors Distribution Prediction Model for Pelvic Tumors Radiotherapy of Varian NovalisTX Medical Linear Accelerator Based on Gaussian Mixtures / 中山大学学报(医学科学版)
Journal of Sun Yat-sen University(Medical Sciences) ; (6): 284-290, 2019.
Article in Chinese | WPRIM | ID: wpr-817756
ABSTRACT
@#【Objective】To constructset-up errors distribution prediction model for pelvic tumors patients radiotherapy of Varian NovalisTX medical linear accelerator.【Methods】The IGRT set-up errors data of 30 pelvic tumor patients after radiotherapywere analyzed,and Gaussian Mixtures was used to construct the errors distribution prediction model and to solve the model parameters.【Results】The set-up errors is mainly concentrated in four central points of μ1~μ4. The coordinates of each central points shows that the offsets of vertical(-3.88~4.28)mm and Longitudinal(-2.41~1.54)mm were larger than that of lateral(-1.85~0.72)mm. The possibility of offsets clustering near μ2 and μ4(0.301,0.310)is greater than μ1 and μ3(0.190,0.196). And the standard deviation of set- up errors can be up to 5.2 mm.【Conclusions】The Gaussian Mixtures Model made quantitative description and prediction analys is for the set- up errors distribution,which provide references for set-up errors control and planning target expansion of pelvic tumor radiotherapy in the absence of IGRT.
Full text: Available Index: WPRIM (Western Pacific) Type of study: Prognostic study Language: Chinese Journal: Journal of Sun Yat-sen University(Medical Sciences) Year: 2019 Type: Article

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Full text: Available Index: WPRIM (Western Pacific) Type of study: Prognostic study Language: Chinese Journal: Journal of Sun Yat-sen University(Medical Sciences) Year: 2019 Type: Article