Wahlstedt Isak, Jensen Nikolaj
Department of Health Technology, Technical University of Denmark, Kongens Lyngby, Herlev, Denmark.
Department of Clinical Oncology, Rigshospitalet, Copenhagen, Denmark.
J Med Phys. 2021 Oct-Dec;46(4):341-346. doi: 10.4103/jmp.JMP_23_21. Epub 2021 Dec 31.
This study investigates whether patient safety can be enhanced by the implementation of an automated electronic checklist (PlanCheck) for physics quality control review (QCR) of radiotherapy photon plans. PlanCheck evaluates both technical aspects and DVH constraints. Three hundred and thirty-one consecutively approved radiotherapy plans previously reviewed with manual QCR were retrospectively checked with PlanCheck. Four hundred and thirty-three (3.4%) of the 12783 automated technical checks executed in the 331 plans yielded an error. All errors were scored using the severity rating from the American Association of Physicists in Medicine TG-100 report. Nineteen of these errors (4%) either could have affected or affected target dose (severity 5+) implicating a maximum dose difference to the target or a critical organ at risk of 0.5% to 10% and 3 errors could have resulted in stereotactic brain treatments being delivered to the wrong location (severity 10). Forty-seven breast cancer plans were retrospectively subjected to automated DVH check, 10 undocumented dose constraint violations were found. PlanCheck has been shown to reduce errors in manually reviewed radiotherapy plans and thus to enhance patient safety.
本研究调查了通过实施用于放疗光子计划物理质量控制审查(QCR)的自动化电子检查表(PlanCheck)是否可以提高患者安全。PlanCheck评估技术方面和剂量体积直方图(DVH)约束。对之前通过手动QCR审查的331个连续批准的放疗计划进行回顾性检查,使用PlanCheck进行检查。在这331个计划中执行的12783次自动化技术检查中有433次(3.4%)产生了错误。所有错误均根据美国医学物理学家协会TG-100报告中的严重程度评级进行评分。其中19个错误(4%)可能已经影响或确实影响了靶区剂量(严重程度5+),这意味着靶区或危及器官的最大剂量差异为0.5%至10%,并且有3个错误可能导致立体定向脑部治疗被输送到错误的位置(严重程度10)。对47个乳腺癌计划进行回顾性自动DVH检查,发现10例未记录的剂量约束违规情况。已证明PlanCheck可减少手动审查的放疗计划中的错误,从而提高患者安全。