{"title":"使用Eclipse脚本API自动化快速规划模型验证。","authors":"Bradley Beeksma, Andrew Dipuglia, Joerg Lehmann","doi":"10.1002/acm2.70120","DOIUrl":null,"url":null,"abstract":"<p><p>RapidPlan offers efficiency gains and quality improvements in treatment planning. Prior to its use in the clinic, it requires an extensive validation procedure in which established clinical plans and those generated by the model are compared. The manual iterative nature of this process is resource intensive, as numerous iterations are required to fine-tune and optimize a RapidPlan model. To streamline the efficiency and reduce the resource burden of RapidPlan model validation, a standalone executable auto planning script was written in C# leveraging the Eclipse scripting application programming interface (ESAPI). The script automatically batch generates treatment plans, as well as exports and plots the population-based DVH metrics of these plans, without any user input, reducing the time and effort required to explore and refine model objectives. Configured with adjustable parameters via Excel and .txt files, this approach allows end users to change input variables quickly and easily without needing to re-approve the script. The script has been implemented for a variety of treatment sites, including intact prostate, prostate & nodes, lung, rectum, unilateral head & neck, bilateral head & neck, and liver stereotactic body radiation therapy (SBRT). The process for liver SBRT has been used here as an example to illustrate the use and power of the script. Over numerous iterations, 76 patients in the model set and 17 patients in a validation set were replanned using the script, creating a total of 405 automatic plans with an overall active planning time of 118.7 h. This study demonstrates the effectiveness of automating the RapidPlan model validation process, significantly reducing the time and resource burden associated with traditional manual methods.</p>","PeriodicalId":14989,"journal":{"name":"Journal of Applied Clinical Medical Physics","volume":" ","pages":"e70120"},"PeriodicalIF":2.0000,"publicationDate":"2025-05-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Automated rapidplan model validation using Eclipse scripting API.\",\"authors\":\"Bradley Beeksma, Andrew Dipuglia, Joerg Lehmann\",\"doi\":\"10.1002/acm2.70120\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>RapidPlan offers efficiency gains and quality improvements in treatment planning. Prior to its use in the clinic, it requires an extensive validation procedure in which established clinical plans and those generated by the model are compared. The manual iterative nature of this process is resource intensive, as numerous iterations are required to fine-tune and optimize a RapidPlan model. To streamline the efficiency and reduce the resource burden of RapidPlan model validation, a standalone executable auto planning script was written in C# leveraging the Eclipse scripting application programming interface (ESAPI). The script automatically batch generates treatment plans, as well as exports and plots the population-based DVH metrics of these plans, without any user input, reducing the time and effort required to explore and refine model objectives. Configured with adjustable parameters via Excel and .txt files, this approach allows end users to change input variables quickly and easily without needing to re-approve the script. The script has been implemented for a variety of treatment sites, including intact prostate, prostate & nodes, lung, rectum, unilateral head & neck, bilateral head & neck, and liver stereotactic body radiation therapy (SBRT). The process for liver SBRT has been used here as an example to illustrate the use and power of the script. Over numerous iterations, 76 patients in the model set and 17 patients in a validation set were replanned using the script, creating a total of 405 automatic plans with an overall active planning time of 118.7 h. This study demonstrates the effectiveness of automating the RapidPlan model validation process, significantly reducing the time and resource burden associated with traditional manual methods.</p>\",\"PeriodicalId\":14989,\"journal\":{\"name\":\"Journal of Applied Clinical Medical Physics\",\"volume\":\" \",\"pages\":\"e70120\"},\"PeriodicalIF\":2.0000,\"publicationDate\":\"2025-05-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Applied Clinical Medical Physics\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1002/acm2.70120\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Applied Clinical Medical Physics","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1002/acm2.70120","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING","Score":null,"Total":0}
Automated rapidplan model validation using Eclipse scripting API.
RapidPlan offers efficiency gains and quality improvements in treatment planning. Prior to its use in the clinic, it requires an extensive validation procedure in which established clinical plans and those generated by the model are compared. The manual iterative nature of this process is resource intensive, as numerous iterations are required to fine-tune and optimize a RapidPlan model. To streamline the efficiency and reduce the resource burden of RapidPlan model validation, a standalone executable auto planning script was written in C# leveraging the Eclipse scripting application programming interface (ESAPI). The script automatically batch generates treatment plans, as well as exports and plots the population-based DVH metrics of these plans, without any user input, reducing the time and effort required to explore and refine model objectives. Configured with adjustable parameters via Excel and .txt files, this approach allows end users to change input variables quickly and easily without needing to re-approve the script. The script has been implemented for a variety of treatment sites, including intact prostate, prostate & nodes, lung, rectum, unilateral head & neck, bilateral head & neck, and liver stereotactic body radiation therapy (SBRT). The process for liver SBRT has been used here as an example to illustrate the use and power of the script. Over numerous iterations, 76 patients in the model set and 17 patients in a validation set were replanned using the script, creating a total of 405 automatic plans with an overall active planning time of 118.7 h. This study demonstrates the effectiveness of automating the RapidPlan model validation process, significantly reducing the time and resource burden associated with traditional manual methods.
期刊介绍:
Journal of Applied Clinical Medical Physics is an international Open Access publication dedicated to clinical medical physics. JACMP welcomes original contributions dealing with all aspects of medical physics from scientists working in the clinical medical physics around the world. JACMP accepts only online submission.
JACMP will publish:
-Original Contributions: Peer-reviewed, investigations that represent new and significant contributions to the field. Recommended word count: up to 7500.
-Review Articles: Reviews of major areas or sub-areas in the field of clinical medical physics. These articles may be of any length and are peer reviewed.
-Technical Notes: These should be no longer than 3000 words, including key references.
-Letters to the Editor: Comments on papers published in JACMP or on any other matters of interest to clinical medical physics. These should not be more than 1250 (including the literature) and their publication is only based on the decision of the editor, who occasionally asks experts on the merit of the contents.
-Book Reviews: The editorial office solicits Book Reviews.
-Announcements of Forthcoming Meetings: The Editor may provide notice of forthcoming meetings, course offerings, and other events relevant to clinical medical physics.
-Parallel Opposed Editorial: We welcome topics relevant to clinical practice and medical physics profession. The contents can be controversial debate or opposed aspects of an issue. One author argues for the position and the other against. Each side of the debate contains an opening statement up to 800 words, followed by a rebuttal up to 500 words. Readers interested in participating in this series should contact the moderator with a proposed title and a short description of the topic