[当设备协议与诊断参考水平(DRL)不同时,为计算机断层扫描剂量管理开发剂量计算应用程序]。

Nihon Hoshasen Gijutsu Gakkai zasshi Pub Date : 2024-09-20 Epub Date: 2024-08-14 DOI:10.6009/jjrt.2024-1462
Yuki Kawamata, Ryuji Ikeda, Syuichi Tochihara, Masahiro Hashida, Masahiro Hatemura
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引用次数: 0

摘要

目的:在本研究中,我们旨在开发一种应用程序,当日本 2020 年国家诊断参考水平(Japan DRLs_2020)与特定设施的计算机断层扫描(CT)协议之间存在差异,无法直接进行剂量比较时,该应用程序可计算与诊断参考水平(DRL)条件相似的剂量值:我们使用 R 编程语言和 RStudio 软件开发了一个应用程序,该程序可根据日本 DRLs_2020 成像条件计算剂量值和中位值,计算之前我们从辐射剂量结构化报告(RDSR)和医学数字成像与通信(DICOM)标签中提取了必要的剂量计算信息。为确保用户体验友好,我们使用 Shiny 软件包开发了一个图形用户界面,使应用程序能够在网络浏览器中无缝运行:结果:对于成像范围和采集时间与日本 DRLs_2020 不同的方案,所开发的应用程序成功地帮助计算了与日本 DRLs_2020 一致的剂量和中位值:通过计算符合 DRL 条件的剂量值,我们的应用程序有助于使用不同成像方案的医疗机构实施和优化 CT 剂量管理。
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[Development of Dose Calculation Application for Computed Tomography Dose Management When Facility Protocols Differ from Diagnostic Reference Level (DRL)].

Purpose: In this study, we aimed to develop an application that computes dose values resembling diagnostic reference level (DRL) conditions when disparity prevents direct dose comparisons between the national diagnostic reference levels in Japan 2020 (Japan DRLs_2020) and facility-specific computed tomography (CT) protocols.

Methods: We developed an application using the R programming language and RStudio software that computes dose values and median values based on Japan DRLs_2020 imaging conditions following extraction of necessary information for dose calculations from the Radiation Dose Structured Report (RDSR) and Digital Imaging and Communications in Medicine (DICOM) tags. To ensure a user-friendly experience, we used the Shiny package to develop a graphical user interface that enables the application to operate seamlessly in web browsers.

Results: The developed application successfully facilitated the calculation of dose and median values that aligned with the Japan DRLs_2020 for protocols whose imaging range and acquisition timing differed from those of the Japan DRLs_2020.

Conclusion: By calculating dose values that align with DRL conditions, our application contributes to the implementation and optimization of dose management in CT for facilities that use diverse imaging protocols.

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