Wadi-Ramahi Shada, Alnajjar Waleed, Mahmood Rana, Jastaniyah Noha, Moftah Belal
Biomedical Physics Department, King Faisal Specialist Hospital and Research Center, Riyadh, Saudi Arabia.
Biomedical Physics Department, King Faisal Specialist Hospital and Research Center, Riyadh, Saudi Arabia.
Brachytherapy. 2016 Sep-Oct;15(5):669-78. doi: 10.1016/j.brachy.2016.06.009. Epub 2016 Jul 27.
Analyze the inputs which cause treatment to the wrong volume in high-dose-rate brachytherapy (HDRB), with emphasis on imaging role during implant, planning, and treatment verification. The end purpose is to compare our current practice to the findings of the study and apply changes where necessary.
Failure mode and effects analysis was used to study the failure pathways for treating the wrong volume in HDRB. The role of imaging and personnel was emphasized, and subcategories were formed. A quality assurance procedure is proposed for each high-scoring failure mode (FM).
Forty FMs were found that lead to treating the wrong volume. Of these, 73% were human failures, 20% were machine failures, and 7% were procedural/guideline failures. The use of imaging was found to resolve 85% of the FMs. We also noted that imaging processes were under used in current practice of HDRB especially in pretreatment verification. Twelve FMs (30%) scored the highest, and for each one of them, we propose clinical/practical solutions that could be applied to reduce the risk by increasing detectability.
This work resulted in two conclusions: the role of imaging in improving failure detection and the emphasized role of human-based failures. The majority of FMs are human failures, and imaging increased the ability to detect 85% of all FMs. We proposed quality assurance practices for each high-scoring FM and have implemented some of them in our own practice.
分析在高剂量率近距离放射治疗(HDRB)中导致治疗靶区错误的输入因素,重点关注植入、计划和治疗验证过程中的成像作用。最终目的是将我们目前的做法与研究结果进行比较,并在必要时进行改进。
采用失效模式与效应分析来研究HDRB中治疗靶区错误的失效途径。强调了成像和人员的作用,并形成了子类别。针对每个高风险失效模式(FM)提出了质量保证程序。
发现40种导致治疗靶区错误的失效模式。其中,73%为人为失误,20%为机器故障,7%为程序/指南失误。发现使用成像可解决85%的失效模式。我们还注意到,在HDRB的当前实践中,成像过程未得到充分利用,尤其是在治疗前验证中。12种失效模式(30%)得分最高,针对其中每一种,我们提出了临床/实际解决方案,可通过提高可检测性来降低风险。
这项工作得出了两个结论:成像在提高故障检测方面的作用以及人为失误的突出作用。大多数失效模式是人为失误,成像提高了检测所有失效模式中85%的能力。我们针对每个高风险失效模式提出了质量保证措施,并已在我们自己的实践中实施了其中一些措施。