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医学剂量师对自动勾画软件效率和一致性的看法调查。

A survey of medical dosimetrists' perceptions of efficiency and consistency of auto-contouring software.

机构信息

Medical Dosimetry Program, University of Wisconsin, La Crosse, WI 54601, USA.

Medical Dosimetry Program, University of Wisconsin, La Crosse, WI 54601, USA.

出版信息

Med Dosim. 2022;47(4):312-317. doi: 10.1016/j.meddos.2022.05.003. Epub 2022 Jul 13.

Abstract

Although auto-contouring methods were created to reduce the workload for the radiation oncology team, concern lies in whether auto-contouring can improve efficiency regarding generated contours of a treatment plan. Researchers have measured differences between auto-contouring algorithms and manual contour methods specific to the contouring of organs at risk (OAR). The problem lies in the paucity of literature specific to perceptions of auto-contouring and the impact on workflow efficiency. The purpose of this study was to measure medical dosimetrists' perceptions of how auto-contouring software impacts the treatment planning process. To measure perceptions, researchers surveyed medical dosimetrists about their perspectives on consistency and efficiency of auto-contouring during treatment planning. A (Qualtrics, Provo, UT) survey was created based on the 2 research questions in this study. The survey was distributed through email to 2598 full members of the American Association of Medical Dosimetrists (AAMD) who were certified by the MDCB; mostly medical dosimetrists but also included a small group of medical physicists. The email open rate was 39% (1024/2598) but the response rate for those who read the email was only 8.4% (86/1024). Of the survey respondents, 67% (59/86) used auto-contouring software; thus, eligible to complete the remainder of the survey. Majority of participants agreed that auto-contouring software decreases time spent contouring per patient; however, most agreed that manual contouring is more efficient. Therefore, it was inferred that a combination of both auto and manual contouring have an impact on workload efficiency.

摘要

尽管自动勾画方法旨在减少放射肿瘤团队的工作量,但人们关注的是自动勾画是否可以提高治疗计划中生成轮廓的效率。研究人员已经测量了特定于勾画危及器官 (OAR) 的自动勾画算法和手动勾画方法之间的差异。问题在于缺乏专门针对自动勾画感知及其对工作流程效率影响的文献。本研究的目的是测量医学物理师对自动勾画软件如何影响治疗计划过程的看法。为了衡量看法,研究人员调查了医学物理师对自动勾画软件在治疗计划过程中的一致性和效率的看法。根据本研究中的 2 个研究问题,使用 Qualtrics(Provo,UT)创建了一个调查。通过电子邮件向 2598 名美国医学物理师协会 (AAMD) 的认证成员(MDCB)发送了调查,其中大部分是医学物理师,但也包括一小部分医学物理学家。电子邮件的打开率为 39%(1024/2598),但阅读电子邮件的回复率仅为 8.4%(86/1024)。在调查受访者中,67%(59/86)使用自动勾画软件;因此,有资格完成其余的调查。大多数参与者同意自动勾画软件可以减少每个患者的轮廓勾画时间;然而,大多数人认为手动勾画更有效率。因此,可以推断自动勾画和手动勾画的结合对工作效率有影响。

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