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Unity 1.5T磁共振直线加速器自适应塑形工作流程的风险分析

Risk analysis of the Unity 1.5T MR-Linac adapt-to-shape workflow.

作者信息

Liang Jiayi, Aliotta Eric, Tyagi Neelam, Godoy Scripes Paola, Côté Nicolas, Subashi Ergys, Huang Qijie, Sun Lian, Chan Ching-Yun, Ng Angela, Wunner Theresa, Brennan Victoria, Zakeri Kaveh, Mechalakos James

机构信息

Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, USA.

Department of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, USA.

出版信息

J Appl Clin Med Phys. 2025 Jul;26(7):e70095. doi: 10.1002/acm2.70095. Epub 2025 Apr 16.

Abstract

BACKGROUND AND PURPOSE

The adapt-to-shape (ATS) workflow on the Unity MR-Linac (Elekta AB, Stockholm, Sweden) allows for full replanning including recontouring and reoptimization. Additional complexity to this workflow is added when the adaptation involves the use of MIM Maestro (MIM Software, Cleveland, OH) software in conjunction with Monaco (Elekta AB, Stockholm, Sweden). Given the interplay of various systems and the inherent complexity of the ATS workflow, a risk analysis would be instructive.

METHOD

Failure modes and effects analysis (FMEA) following Task Group 100 was completed to evaluate the ATS workflow. A multi-disciplinary team was formed for this analysis. The team created a process map detailing the steps involved in ATS treating both the standard Monaco workflow and a workflow with the use of MIM software in parallel. From this, failure modes were identified, scored using three categories (likelihood of occurrence, severity, and detectability which multiplied create a risk priority number), and then mitigations for the top 20 percentile of failure modes were found.

RESULTS

Risk analysis found 264 failure modes in the ATS workflow. Of those, 82 were high-ranking failure modes that ranked in the top 20 percentile for risk priority number and severity scores. Although high-ranking failure modes were identified in each step in the process, 62 of them were found in the contouring and planning steps, highlighting key differences from adapt-to-position (ATP), where the importance of these steps are minimized. Mitigations are suggested for all high-ranking failure modes.

CONCLUSION

The flexibility of the ATS workflow, which enables reoptimization of the treatment plan, also introduces potential critical points where errors can occur. There are more opportunities for error in ATS that can create unintentionally negative dosimetric impact. FMEA can help mitigate these risks by identifying and addressing potential failure points in the ATS process.

摘要

背景与目的

Unity MR直线加速器(瑞典斯德哥尔摩医科达公司)上的适应形状(ATS)工作流程允许进行全面的重新计划,包括重新勾画轮廓和重新优化。当适应过程涉及将MIM Maestro软件(美国俄亥俄州克利夫兰市MIM软件公司)与Monaco软件(瑞典斯德哥尔摩医科达公司)联合使用时,该工作流程会增加额外的复杂性。鉴于各种系统之间的相互作用以及ATS工作流程固有的复杂性,进行风险分析将具有指导意义。

方法

按照任务组100完成了失效模式与效应分析(FMEA),以评估ATS工作流程。为此分析组建了一个多学科团队。该团队创建了一个流程图,详细说明了在ATS治疗中涉及的步骤,同时并行处理标准的Monaco工作流程和使用MIM软件的工作流程。据此,识别出失效模式,使用三个类别(发生可能性、严重性和可检测性,三者相乘得出风险优先级数)进行评分,然后针对排在前20%的失效模式找到缓解措施。

结果

风险分析在ATS工作流程中发现了264种失效模式。其中,82种是高等级失效模式,其风险优先级数和严重性得分排在前20%。尽管在该过程的每个步骤中都识别出了高等级失效模式,但其中62种出现在轮廓勾画和计划步骤中,突出了与适应位置(ATP)的关键差异,在ATP中这些步骤的重要性被最小化。针对所有高等级失效模式都提出了缓解措施。

结论

ATS工作流程的灵活性能够重新优化治疗计划,但同时也引入了可能发生错误的潜在关键点。在ATS中存在更多可能产生无意负面剂量学影响的错误机会。FMEA可以通过识别和解决ATS过程中的潜在故障点来帮助降低这些风险。

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