点扫描质子治疗计划评估:用于常规临床实践的剂量验证应用程序的设计和开发

Kurt E. Augustine, T. Walsh, C. Beltran, J. Stoker, D. Mundy, Mark D. Parry, M. Bues, M. Fatyga
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引用次数: 1

摘要

自19世纪后期以来,使用放射疗法治疗癌症已在临床上进行。然而,早期发现,足以摧毁癌细胞的辐射剂量也会对周围的健康组织造成严重伤害。放射肿瘤学家不断努力在足以摧毁癌细胞的高剂量和避免损害健康器官之间找到完美的平衡。点扫描或“铅笔束”质子放射治疗提供了另一种选择。与传统的光子治疗不同,质子束在目标组织中停止,因此更好地保留了目标肿瘤以外的所有器官。此外,光束要窄得多,因此可以更精确地“绘制”到肿瘤上,避免暴露到周围的健康组织。为确保质子束放疗患者的安全,治疗前应对每个方案进行剂量验证。质子剂量验证系统目前还没有商业化,所以梅奥诊所的放射肿瘤科开发了自己的DOSeCHECK,它提供了两种不同的剂量模拟方法:基于gpu的蒙特卡罗和基于cpu的分析。该系统的三个主要组成部分包括基于web的用户界面、基于linux的剂量验证仿真引擎以及配套服务和组件。该架构集成了多个应用程序、库、平台、编程语言和通信协议,并及时成功地部署在梅奥诊所的第一位质子束治疗患者身上。拥有一个简单、有效的剂量验证应用程序大大减少了工作人员的工作量,并提供了额外的质量保证,最终提高了患者的安全。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Spot scanning proton therapy plan assessment: design and development of a dose verification application for use in routine clinical practice
The use of radiation therapy for the treatment of cancer has been carried out clinically since the late 1800’s. Early on however, it was discovered that a radiation dose sufficient to destroy cancer cells can also cause severe injury to surrounding healthy tissue. Radiation oncologists continually strive to find the perfect balance between a dose high enough to destroy the cancer and one that avoids damage to healthy organs. Spot scanning or “pencil beam” proton radiotherapy offers another option to improve on this. Unlike traditional photon therapy, proton beams stop in the target tissue, thus better sparing all organs beyond the targeted tumor. In addition, the beams are far narrower and thus can be more precisely “painted” onto the tumor, avoiding exposure to surrounding healthy tissue. To safely treat patients with proton beam radiotherapy, dose verification should be carried out for each plan prior to treatment. Proton dose verification systems are not currently commercially available so the Department of Radiation Oncology at the Mayo Clinic developed its own, called DOSeCHECK, which offers two distinct dose simulation methods: GPU-based Monte Carlo and CPU-based analytical. The three major components of the system include the web-based user interface, the Linux-based dose verification simulation engines, and the supporting services and components. The architecture integrates multiple applications, libraries, platforms, programming languages, and communication protocols and was successfully deployed in time for Mayo Clinic’s first proton beam therapy patient. Having a simple, efficient application for dose verification greatly reduces staff workload and provides additional quality assurance, ultimately improving patient safety.
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