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表面引导的深吸气屏气(DIBH)乳腺癌放疗失效模式与效应分析。

Failure modes and effects analysis for surface-guided DIBH breast radiotherapy.

机构信息

Levine Cancer Institute, Department of Radiation Oncology, Atrium Health Cabarrus, Concord, North Carolina, USA.

Levine Cancer Institute, Atrium Health, Charlotte, North Carolina, USA.

出版信息

J Appl Clin Med Phys. 2022 Apr;23(4):e13541. doi: 10.1002/acm2.13541. Epub 2022 Feb 2.

Abstract

Despite breast cancer prevalence and widespread adoption of deep inspiration breath-hold (DIBH) radiation techniques, few data exist on the error risks related to using surface-guided (SG) DIBH during breast radiation therapy (RT). Due to the increasingly technical nature of these methods and being a paradigm shift from traditional breast setups/treatments, the associated risk for error is high. Failure modes and effects analysis (FMEA) has been used in identifying risky RT processes yet is time-consuming to perform. A subset of RT staff and a hospital patient-safety representative performed FMEA to study SG-DIBH RT processes. After this group (cohort 1) analyzed these processes, additional scoring data were acquired from RT staff uninvolved in the original FMEA (cohort 2). Cohort 2 received abbreviated FMEA training while using the same process maps that cohort 1 had created, which was done with the goal of validating our results and exploring the feasibility of expedited FMEA training and efficient implementation elsewhere. An extensive review of the SG-DIBH RT process revealed 57 failure modes in 16 distinct steps. Risks deemed to have the highest priority, large risk priority number (RPN), and severity were addressed with policy changes, checklists, and standardization; of these, most were linked with operator error via manual inputs and verification. Reproducibility results showed that 5% of the average RPN between cohorts 1 and 2 was statistically different. Unexpected associations were noted between RPN and RT staff role; 12% of the physicist and therapist average scores were statistically different. Different levels of FMEA training yielded similar scoring within one RT department, suggesting a time-savings can be achieved with abbreviated training. Scores between professions, however, yielded significant differences suggesting the importance of involving staff across disciplines.

摘要

尽管乳腺癌的患病率很高,并且广泛采用了深吸气屏气(DIBH)放射技术,但关于在乳腺癌放射治疗(RT)中使用表面引导(SG)DIBH 相关的误差风险的数据很少。由于这些方法的技术性质越来越复杂,并且与传统的乳房设置/治疗相比是一个范式转变,因此相关的错误风险很高。失效模式和影响分析(FMEA)已用于识别高风险的 RT 流程,但执行起来很耗时。一组 RT 工作人员和一名医院患者安全代表进行了 FMEA,以研究 SG-DIBH RT 流程。在该小组(队列 1)分析这些流程后,从未参与原始 FMEA 的 RT 工作人员(队列 2)中获得了额外的评分数据。队列 2在使用队列 1 创建的相同过程图的同时接受了简化的 FMEA 培训,目的是验证我们的结果并探索加快 FMEA 培训和在其他地方有效实施的可行性。对 SG-DIBH RT 过程进行了广泛的审查,发现了 16 个不同步骤中的 57 个失效模式。被认为具有最高优先级、较大风险优先数(RPN)和严重程度的风险通过政策变更、清单和标准化来解决;其中大多数与操作人员错误通过手动输入和验证相关。重现性结果表明,队列 1 和队列 2 之间的平均 RPN 的 5%在统计学上存在差异。还注意到 RPN 与 RT 工作人员角色之间存在意外关联;物理学家和治疗师的平均分数中有 12%在统计学上存在差异。在一个 RT 部门内,不同水平的 FMEA 培训产生了相似的评分,这表明简化培训可以节省时间。然而,不同专业之间的评分存在显著差异,这表明跨学科涉及工作人员的重要性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/09a2/8992938/39d46a4d1ae6/ACM2-23-e13541-g002.jpg

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