Statistical process control to monitor use of a web-based autoplanning tool.
Statistical process control to monitor use of a web-based autoplanning tool.
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DOI：
10.1002/acm2.13803
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发表时间：
2022-12
影响因子：
2.1
通讯作者：
Court, Laurence
中科院分区：
文献类型：
--
作者：
Mehrens, Hunter;Douglas, Raphael;Gronberg, Mary;Nealon, Kelly;Zhang, Joy;Court, Laurence
调查统计过程控制(SPC)在基于Web的综合自动计划工具RPA(RPA)的质量保证中的使用。自动生成的计划被下载并导入两个治疗计划系统(TPSS)，即RayStation和Eclipse，在该系统中使用固定监测单元重新计算。然后，重新计算的计划被上传回RPA，并计算原始RPA和TPSS计划之间每个等高线的平均剂量差。SPC用于通过两种比较来表征RPA计划：三个解剖位置的RayStation TPS与RPA和Eclipse TPS与RPA，以及两种算法(解析各向异性算法[AAA])和Acuros的机器参数剂量叶隙(DLG)和多叶准直器传输系数(MLC-Tf)的变化。总体而言，SPC用于监控RPA的过程，而诊所仍将执行针对患者的例行QA。对于雷达站，所有等高线的平均百分比剂量差分别为0.65%±1.05%、−2.09%±0.56%和0.28%±0.98%，平均控制限值范围分别为1.89%±1.32%、2.16%±1.31%和2.65%±1.89%。相比之下，日食各等高线的平均百分比剂量差分别为−0.62%±0.34%，0.32%±0.23%，−0.91%±0.98%，平均控制限值范围分别为1.09%±0.77%，3.69%±2.67%，2.73%±1.86%。平均所有等高线和剔除异常值，0%剂量差对应的Dlg值为0.202±0.019 cm，MLC-Tf值为0.020±0.001；AAA的Dlg值为0.135±0.031 cm，MLC-Tf值为0.015±0.001。确定了RPA和两个单独委托的TPS之间的平均剂量和控制限值的差异。通过不同的控制限制和方法，SPC为监控复杂的自动化系统(如RPA)提供了灵活而有用的过程质量保证工具。
To investigate the use of statistical process control (SPC) for quality assurance of an integrated web‐based autoplanning tool, Radiation Planning Assistant (RPA). Automatically generated plans were downloaded and imported into two treatment planning systems (TPSs), RayStation and Eclipse, in which they were recalculated using fixed monitor units. The recalculated plans were then uploaded back to the RPA, and the mean dose differences for each contour between the original RPA and the TPSs plans were calculated. SPC was used to characterize the RPA plans in terms of two comparisons: RayStation TPS versus RPA and Eclipse TPS versus RPA for three anatomical sites, and variations in the machine parameters dosimetric leaf gap (DLG) and multileaf collimator transmission factor (MLC‐TF) for two algorithms (Analytical Anisotropic Algorithm [AAA]) and Acuros in the Eclipse TPS. Overall, SPC was used to monitor the process of the RPA, while clinics would still perform their routine patient‐specific QA. For RayStation, the average mean percent dose differences across all contours were 0.65% ± 1.05%, −2.09% ± 0.56%, and 0.28% ± 0.98% and average control limit ranges were 1.89% ± 1.32%, 2.16% ± 1.31%, and 2.65% ± 1.89% for the head and neck, cervix, and chest wall, respectively. In contrast, Eclipse's average mean percent dose differences across all contours were −0.62% ± 0.34%, 0.32% ± 0.23%, and −0.91% ± 0.98%, while average control limit ranges were 1.09% ± 0.77%, 3.69% ± 2.67%, 2.73% ± 1.86%, respectively. Averaging all contours and removing outliers, a 0% dose difference corresponded with a DLG value of 0.202 ± 0.019 cm and MLC‐TF value of 0.020 ± 0.001 for Acuros and a DLG value of 0.135 ± 0.031 cm and MLC‐TF value of 0.015 ± 0.001 for AAA. Differences in mean dose and control limits between RPA and two separately commissioned TPSs were determined. With varying control limits and means, SPC provides a flexible and useful process quality assurance tool for monitoring a complex automated system such as the RPA.
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影响因子：
3.8
作者：
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影响因子：
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通讯作者：
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通讯作者：
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