Wenchih Tseng , Keith Furutani , Chris Beltran , Bo Lu
{"title":"放疗中 Elekta LINAC 输送系统剂量测定研究的蒙特卡洛自动化工作流程","authors":"Wenchih Tseng , Keith Furutani , Chris Beltran , Bo Lu","doi":"10.1016/j.tipsro.2024.100257","DOIUrl":null,"url":null,"abstract":"<div><h3>Purpose</h3><p>This study aims to automate the Monte Carlo (MC) workflow utilized for radiotherapy dosimetry, focusing on an Elekta LINAC delivery system. It addresses the challenge of integrating MC simulations into routine clinical practice, making this accurate yet complex method more accessible and efficient for radiotherapy dosimetry.</p></div><div><h3>Methods and Materials</h3><p>We developed a user-friendly software featuring a graphical user interface (GUI) that integrates EGSnrc for MC simulations. The software streamlines the process from retrieving Digital Imaging and Communications in Medicine (DICOM) data to executing dose calculations and comparing dose distributions. To validate our proposed tool, we compared its computed doses for IMRT and VMAT plans from the Pinnacle TPS for an Elekta Versa HD linear accelerator against MC simulation results. This comparison utilized our in-house software and GUI as the tool, covering various treatment sites and prescriptions.</p></div><div><h3>Results</h3><p>The automated MC workflow demonstrated high accuracy in dose calculations and streamlined integration with clinical workflows. The comparison between the MC-simulated and TPS-calculated doses revealed excellent agreement, highlighting the reliability of MC for independent dose verification in complex treatment scenarios.</p></div><div><h3>Conclusions</h3><p>The automated MC workflow developed represents a substantial improvement in the practicality and efficiency of MC simulations in radiotherapy. This advancement not only simplifies the dosimetry process but also ensures high accuracy, establishing it as a valuable tool for routine patient-specific quality assurance and the development of specialized treatment procedures.</p></div>","PeriodicalId":36328,"journal":{"name":"Technical Innovations and Patient Support in Radiation Oncology","volume":"31 ","pages":"Article 100257"},"PeriodicalIF":0.0000,"publicationDate":"2024-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2405632424000246/pdfft?md5=edcdc89196f32710e0c42a6c3f04bc8e&pid=1-s2.0-S2405632424000246-main.pdf","citationCount":"0","resultStr":"{\"title\":\"An automation of Monte Carlo workflow for dosimetry study of an Elekta LINAC delivery system in radiotherapy\",\"authors\":\"Wenchih Tseng , Keith Furutani , Chris Beltran , Bo Lu\",\"doi\":\"10.1016/j.tipsro.2024.100257\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Purpose</h3><p>This study aims to automate the Monte Carlo (MC) workflow utilized for radiotherapy dosimetry, focusing on an Elekta LINAC delivery system. It addresses the challenge of integrating MC simulations into routine clinical practice, making this accurate yet complex method more accessible and efficient for radiotherapy dosimetry.</p></div><div><h3>Methods and Materials</h3><p>We developed a user-friendly software featuring a graphical user interface (GUI) that integrates EGSnrc for MC simulations. The software streamlines the process from retrieving Digital Imaging and Communications in Medicine (DICOM) data to executing dose calculations and comparing dose distributions. To validate our proposed tool, we compared its computed doses for IMRT and VMAT plans from the Pinnacle TPS for an Elekta Versa HD linear accelerator against MC simulation results. This comparison utilized our in-house software and GUI as the tool, covering various treatment sites and prescriptions.</p></div><div><h3>Results</h3><p>The automated MC workflow demonstrated high accuracy in dose calculations and streamlined integration with clinical workflows. The comparison between the MC-simulated and TPS-calculated doses revealed excellent agreement, highlighting the reliability of MC for independent dose verification in complex treatment scenarios.</p></div><div><h3>Conclusions</h3><p>The automated MC workflow developed represents a substantial improvement in the practicality and efficiency of MC simulations in radiotherapy. This advancement not only simplifies the dosimetry process but also ensures high accuracy, establishing it as a valuable tool for routine patient-specific quality assurance and the development of specialized treatment procedures.</p></div>\",\"PeriodicalId\":36328,\"journal\":{\"name\":\"Technical Innovations and Patient Support in Radiation Oncology\",\"volume\":\"31 \",\"pages\":\"Article 100257\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-06-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.sciencedirect.com/science/article/pii/S2405632424000246/pdfft?md5=edcdc89196f32710e0c42a6c3f04bc8e&pid=1-s2.0-S2405632424000246-main.pdf\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Technical Innovations and Patient Support in Radiation Oncology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2405632424000246\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"Nursing\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Technical Innovations and Patient Support in Radiation Oncology","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2405632424000246","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"Nursing","Score":null,"Total":0}
引用次数: 0
摘要
目的本研究旨在将用于放射治疗剂量测定的蒙特卡罗(Monte Carlo,MC)工作流程自动化,重点是 Elekta LINAC 输送系统。它解决了将 MC 模拟集成到常规临床实践中的难题,使这一精确而复杂的方法在放射治疗剂量测定中更加易用和高效。方法和材料我们开发了一款用户友好型软件,其图形用户界面 (GUI) 集成了用于 MC 模拟的 EGSnrc。该软件简化了从检索医学数字成像和通信(DICOM)数据到执行剂量计算和比较剂量分布的过程。为了验证我们提出的工具,我们将该软件为 Elekta Versa HD 直线加速器 Pinnacle TPS 的 IMRT 和 VMAT 计划计算的剂量与 MC 模拟结果进行了比较。这次比较使用了我们的内部软件和图形用户界面作为工具,涵盖了不同的治疗部位和处方。MC 模拟剂量与 TPS 计算剂量之间的比较显示出极好的一致性,突出了 MC 在复杂治疗方案中进行独立剂量验证的可靠性。这一进步不仅简化了剂量测定过程,还确保了高精确度,使其成为针对特定患者的常规质量保证和专门治疗程序开发的重要工具。
An automation of Monte Carlo workflow for dosimetry study of an Elekta LINAC delivery system in radiotherapy
Purpose
This study aims to automate the Monte Carlo (MC) workflow utilized for radiotherapy dosimetry, focusing on an Elekta LINAC delivery system. It addresses the challenge of integrating MC simulations into routine clinical practice, making this accurate yet complex method more accessible and efficient for radiotherapy dosimetry.
Methods and Materials
We developed a user-friendly software featuring a graphical user interface (GUI) that integrates EGSnrc for MC simulations. The software streamlines the process from retrieving Digital Imaging and Communications in Medicine (DICOM) data to executing dose calculations and comparing dose distributions. To validate our proposed tool, we compared its computed doses for IMRT and VMAT plans from the Pinnacle TPS for an Elekta Versa HD linear accelerator against MC simulation results. This comparison utilized our in-house software and GUI as the tool, covering various treatment sites and prescriptions.
Results
The automated MC workflow demonstrated high accuracy in dose calculations and streamlined integration with clinical workflows. The comparison between the MC-simulated and TPS-calculated doses revealed excellent agreement, highlighting the reliability of MC for independent dose verification in complex treatment scenarios.
Conclusions
The automated MC workflow developed represents a substantial improvement in the practicality and efficiency of MC simulations in radiotherapy. This advancement not only simplifies the dosimetry process but also ensures high accuracy, establishing it as a valuable tool for routine patient-specific quality assurance and the development of specialized treatment procedures.