Process failure mode and effects analysis for external beam radiotherapy: Introducing a literature-based template and a novel action priority

IF 2.4 4区 医学 Q2 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING Zeitschrift fur Medizinische Physik Pub Date : 2024-08-01 DOI:10.1016/j.zemedi.2024.02.002
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引用次数: 0

Abstract

Purpose

The first aim of the study was to create a general template for analyzing potential failures in external beam radiotherapy, EBRT, using the process failure mode and effects analysis (PFMEA). The second aim was to modify the action priority (AP), a novel prioritization method originally introduced by the Automotive Industry Action Group (AIAG), to work with different severity, occurrence, and detection rating systems used in radiation oncology.

Methods and materials

The AIAG PFMEA approach was employed in combination with an extensive literature survey to develop the EBRT-PFMEA template. Subsets of high-risk failure modes found through the literature survey were added to the template where applicable. Our modified AP for radiation oncology (RO AP) was defined using a weighted sum of severity, occurrence, and detectability. Then, Monte Carlo simulations were conducted to compare the original AIAG AP, the RO AP, and the risk priority number (RPN). The results of the simulations were used to determine the number of additional corrective actions per failure mode and to parametrize the RO AP to our department’s rating system.

Results

An EBRT-PFMEA template comprising 75 high-risk failure modes could be compiled. The AIAG AP required 1.7 additional corrective actions per failure mode, while the RO AP ranged from 1.3 to 3.5, and the RPN required 3.6. The RO AP could be parametrized so that it suited our rating system and evaluated severity, occurrence, and detection ratings equally to the AIAG AP.

Conclusions

An adjustable EBRT-PFMEA template is provided which can be used as a practical starting point for creating institution-specific templates. Moreover, the RO AP introduces transparent action levels that can be adapted to any rating system.

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外照射放射治疗的过程失效模式与效应分析:引入基于文献的模板和新的行动优先级。
目的:本研究的第一个目的是创建一个通用模板,用于使用过程故障模式和影响分析(PFMEA)分析外照射放射治疗(EBRT)中的潜在故障。第二个目的是修改行动优先级(AP),这是一种新颖的优先级排序方法,最初由汽车工业行动小组(AIAG)推出,用于放射肿瘤学中不同的严重性、发生率和检测评级系统:采用 AIAG PFMEA 方法并结合广泛的文献调查,开发出 EBRT-PFMEA 模板。通过文献调查发现的高风险失效模式子集被添加到适用的模板中。我们使用严重性、发生率和可探测性的加权和来定义放射肿瘤学的修正 AP(RO AP)。然后,进行蒙特卡罗模拟,比较原始 AIAG AP、RO AP 和风险优先级编号 (RPN)。模拟结果用于确定每种故障模式下额外纠正措施的数量,并根据我们部门的评级系统对 RO AP 进行参数化:结果:可以编制一个包含 75 种高风险故障模式的 EBRT-PFMEA 模板。AIAG AP 要求对每种失效模式采取 1.7 项额外纠正措施,而 RO AP 的范围在 1.3 至 3.5 之间,RPN 要求采取 3.6 项额外纠正措施。RO AP 可以进行参数化,使其适合我们的评级系统,对严重性、发生率和检测评级的评估与 AIAG AP 相同:提供了一个可调整的 EBRT-PFMEA 模板,可作为创建特定机构模板的实用起点。此外, RO AP 引入了透明的行动级别,可适用于任何评级系统。
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来源期刊
CiteScore
3.70
自引率
10.00%
发文量
69
审稿时长
65 days
期刊介绍: Zeitschrift fur Medizinische Physik (Journal of Medical Physics) is an official organ of the German and Austrian Society of Medical Physic and the Swiss Society of Radiobiology and Medical Physics.The Journal is a platform for basic research and practical applications of physical procedures in medical diagnostics and therapy. The articles are reviewed following international standards of peer reviewing. Focuses of the articles are: -Biophysical methods in radiation therapy and nuclear medicine -Dosimetry and radiation protection -Radiological diagnostics and quality assurance -Modern imaging techniques, such as computed tomography, magnetic resonance imaging, positron emission tomography -Ultrasonography diagnostics, application of laser and UV rays -Electronic processing of biosignals -Artificial intelligence and machine learning in medical physics In the Journal, the latest scientific insights find their expression in the form of original articles, reviews, technical communications, and information for the clinical practice.
期刊最新文献
Editorial Board Contents Development and clinical implementation of a digital system for risk assessments for radiation therapy End-to-end testing for stereotactic radiotherapy including the development of a Multi-Modality phantom Note on uncertainty in Monte Carlo dose calculations and its relation to microdosimetry
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