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Feasibility of Automatic Treatment Planning in Intensity-modulated Radiotherapy of Nasopharyngeal Carcinoma / 生物医学工程学杂志
Journal of Biomedical Engineering ; (6): 1288-1293, 2015.
Article in Chinese | WPRIM | ID: wpr-357878
ABSTRACT
Intensity-modulated radiotherapy planning for nasopharyngeal carcinoma is very complex. The quality of plan is often closely linked to the experience of the treatment planner. In this study, 10 nasopharyngeal carcinoma patients at different stages were enrolled. Based on the scripting of Pinnacle 9. 2 treatment planning system, the computer program was used to set the basic parameters and objective parameters of the plans. At last, the nasopharyngeal carcinoma intensity-modulated radiotherapy plans were completed automatically. Then, the automatical and manual intensity-modulated radiotherapy plans were statistically compared and clinically evaluated. The results showed that there were no significant differences between those two kinds of plans with respect to the dosimetry parameters of most targets and organs at risk. The automatical nasopharyngeal carcinoma intensity-modulated radiotherapy plans can meet the requirements of clinical radiotherapy, significantly reduce planning time, and avoid the influence of human factors such as lack of experience to the quality of plan.
Subject(s)
Full text: Available Index: WPRIM (Western Pacific) Main subject: Radiometry / Radiotherapy / Radiotherapy Dosage / Radiotherapy Planning, Computer-Assisted / Carcinoma / Feasibility Studies / Nasopharyngeal Neoplasms / Radiotherapy, Intensity-Modulated Type of study: Practice guideline Limits: Humans Language: Chinese Journal: Journal of Biomedical Engineering Year: 2015 Type: Article

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Full text: Available Index: WPRIM (Western Pacific) Main subject: Radiometry / Radiotherapy / Radiotherapy Dosage / Radiotherapy Planning, Computer-Assisted / Carcinoma / Feasibility Studies / Nasopharyngeal Neoplasms / Radiotherapy, Intensity-Modulated Type of study: Practice guideline Limits: Humans Language: Chinese Journal: Journal of Biomedical Engineering Year: 2015 Type: Article