Automatic Planning for Nasopharyngeal Carcinoma Based on Progressive Optimization in RayStation Treatment Planning System
文献类型:期刊论文
作者 | Yang, Yiwei1,2,3; Shao, Kainan1,2,3; Zhang, Jie1,2,3; Chen, Ming1,4,5; Chen, Yuanyuan1,4,5; Shan, Guoping1,2,3 |
刊名 | TECHNOLOGY IN CANCER RESEARCH & TREATMENT
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出版日期 | 2020-06-18 |
卷号 | 19 |
关键词 | VMAT automatic planning nasopharyngeal carcinoma RayStation script |
ISSN号 | 1533-0346 |
DOI | 10.1177/1533033820915710 |
通讯作者 | Yang, Yiwei(yangyw@zjcc.org.cn) |
英文摘要 | Objective: To evaluate and quantify the planning performance of automatic planning (AP) with manual planning (MP) for nasopharyngeal carcinoma in the RayStation treatment planning system (TPS). Methods: A progressive and effective design method for AP of nasopharyngeal carcinoma was realized through automated scripts in this study. A total of 30 patients with nasopharyngeal carcinoma with initial treatment was enrolled. The target coverage, conformity index (CI), homogeneity index (HI), organs at risk sparing, and the efficiency of design and execution were compared between automatic and manual volumetric modulated arc therapy (VMAT) plans. Results: The results of the 2 design methods met the clinical dose requirement. The differences in D95 between the 2 groups in PTV1 and PTV2 showed statistical significance, and the MPs are higher than APs, but the difference in absolute dose was only 0.21% and 0.16%. The results showed that the conformity index of planning target volumes (PTV1, PTV2, PTVnd and PGTVnx+rpn [PGTVnx and PGTVrpn]), homogeneity index of PGTVnx+rpn, and HI of PTVnd in APs are better than that in MPs. For organs at risk, the APs are lower than the MPs, and the difference was statistically significant (P< .05). The manual operation time in APs was 83.21% less than that in MPs, and the computer processing time was 34.22% more. Conclusion: IronPython language designed by RayStation TPS has clinical application value in the design of automatic radiotherapy plan for nasopharyngeal carcinoma. The dose distribution of tumor target and organs at risk in the APs was similar or better than those in the MPs. The time of manual operation in the plan design showed a sharp reduction, thus significantly improving the work efficiency in clinical application. |
WOS关键词 | MODULATED RADIATION-THERAPY ; MULTICRITERIA OPTIMIZATION ; NECK-CANCER ; LUNG-CANCER ; ARC THERAPY ; BEAM ANGLE ; AT-RISK ; IMRT ; HEAD ; QUALITY |
资助项目 | National Key R&D Program of China[2017YFC0113201] ; Zhejiang Key RD Program[2019C03003] ; Zhejiang Medical and Health Project[2020KY472] |
WOS研究方向 | Oncology |
语种 | 英语 |
WOS记录号 | WOS:000544664900001 |
出版者 | SAGE PUBLICATIONS INC |
资助机构 | National Key R&D Program of China ; Zhejiang Key RD Program ; Zhejiang Medical and Health Project |
源URL | [http://ir.hfcas.ac.cn:8080/handle/334002/71147] ![]() |
专题 | 中国科学院合肥物质科学研究院 |
通讯作者 | Yang, Yiwei |
作者单位 | 1.Chinese Acad Sci, Inst Canc & Basic Med ICBM, Hangzhou, Peoples R China 2.Univ Chinese Acad Sci, Canc Hosp, Dept Radiat Phys, Hangzhou, Peoples R China 3.Zhejiang Canc Hosp, Dept Radiat Phys, Hangzhou, Peoples R China 4.Univ Chinese Acad Sci, Canc Hosp, Dept Radiat Oncol, Hangzhou, Peoples R China 5.Zhejiang Canc Hosp, Dept Radiat Oncol, Hangzhou, Peoples R China |
推荐引用方式 GB/T 7714 | Yang, Yiwei,Shao, Kainan,Zhang, Jie,et al. Automatic Planning for Nasopharyngeal Carcinoma Based on Progressive Optimization in RayStation Treatment Planning System[J]. TECHNOLOGY IN CANCER RESEARCH & TREATMENT,2020,19. |
APA | Yang, Yiwei,Shao, Kainan,Zhang, Jie,Chen, Ming,Chen, Yuanyuan,&Shan, Guoping.(2020).Automatic Planning for Nasopharyngeal Carcinoma Based on Progressive Optimization in RayStation Treatment Planning System.TECHNOLOGY IN CANCER RESEARCH & TREATMENT,19. |
MLA | Yang, Yiwei,et al."Automatic Planning for Nasopharyngeal Carcinoma Based on Progressive Optimization in RayStation Treatment Planning System".TECHNOLOGY IN CANCER RESEARCH & TREATMENT 19(2020). |
入库方式: OAI收割
来源:合肥物质科学研究院
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