PDF(Pubmed)
Abstract：
UNASSIGNED: Online magnetic resonance-guided adaptive radiotherapy (MRgART) is a new technology of radiotherapy and requires a new quality control program in many aspects. This study aimed to gain a deeper understanding of risks in online MRgART through the application of failure mode and effect analysis (FMEA) for more enhanced and effective quality assurance (QA) programs.
UNASSIGNED: We present an FMEA conducted by a multidisciplinary team with more than two years of experience. A process map describing the whole process of online MRgART was developed and potential failure modes were identified. High-risk failure modes and their potential causes and corrective measures were also identified. Failure modes were classified into three categories, MRgRT, online ART, and conventional RT, to investigate their features. A comparison with previous studies was also conducted to gain a general perspective.
UNASSIGNED: In total, 153 failure modes and 49 high risks were identified. Among all failure modes, 51, 63, and 66 were related to MRgRT, online ART, and conventional RT, respectively. The hazardous processes were structure segmentation, treatment planning, and treatment beam delivery. Lists of failure modes identified in this study and previous studies were presented. Based on the results, characteristics and general aspects of the risks were discussed.
UNASSIGNED: Exploring the results of the FMEA enhanced our understanding of risk characteristics to improve QA program of online MRgART.
UNASSIGNED: We present an FMEA conducted by a multidisciplinary team with more than two years of experience. A process map describing the whole process of online MRgART was developed and potential failure modes were identified. High-risk failure modes and their potential causes and corrective measures were also identified. Failure modes were classified into three categories, MRgRT, online ART, and conventional RT, to investigate their features. A comparison with previous studies was also conducted to gain a general perspective.
UNASSIGNED: In total, 153 failure modes and 49 high risks were identified. Among all failure modes, 51, 63, and 66 were related to MRgRT, online ART, and conventional RT, respectively. The hazardous processes were structure segmentation, treatment planning, and treatment beam delivery. Lists of failure modes identified in this study and previous studies were presented. Based on the results, characteristics and general aspects of the risks were discussed.
UNASSIGNED: Exploring the results of the FMEA enhanced our understanding of risk characteristics to improve QA program of online MRgART.
摘要：
■在线磁共振引导自适应放射治疗（MRgART）是放射治疗的新技术，在许多方面都需要新的质量控制程序。本研究旨在通过应用故障模式和影响分析（FMEA）来更深入地了解在线MRgART中的风险，以实现更有效的质量保证（QA）计划。
■我们介绍了由具有两年以上经验的多学科团队进行的FMEA。开发了描述在线MRgART整个过程的过程图，并确定了潜在的故障模式。还确定了高风险故障模式及其潜在原因和纠正措施。故障模式分为三类，MRgRT,在线艺术,和传统的RT，调查他们的特点。还与以前的研究进行了比较，以获得一般的观点。
■总共，确定了153种故障模式和49种高风险。在所有故障模式中，51、63和66与MRgRT有关，在线艺术,和传统的RT，分别。危险过程是结构分割，治疗计划,和处理梁交付。列出了本研究和以前的研究中确定的故障模式。根据结果,讨论了风险的特点和一般方面。
■探索FMEA的结果增强了我们对风险特征的理解，以改进在线MRgART的QA计划。
■我们介绍了由具有两年以上经验的多学科团队进行的FMEA。开发了描述在线MRgART整个过程的过程图，并确定了潜在的故障模式。还确定了高风险故障模式及其潜在原因和纠正措施。故障模式分为三类，MRgRT,在线艺术,和传统的RT，调查他们的特点。还与以前的研究进行了比较，以获得一般的观点。
■总共，确定了153种故障模式和49种高风险。在所有故障模式中，51、63和66与MRgRT有关，在线艺术,和传统的RT，分别。危险过程是结构分割，治疗计划,和处理梁交付。列出了本研究和以前的研究中确定的故障模式。根据结果,讨论了风险的特点和一般方面。
■探索FMEA的结果增强了我们对风险特征的理解，以改进在线MRgART的QA计划。
