通过定量分析优化体积调制颅脊髓照射工作流程:一项比较儿科和成人设置的单机构案例研究。

Journal of radiation oncology Pub Date : 2020-12-01 Epub Date: 2020-06-18 DOI:10.1007/s13566-020-00429-9
Steven M Nguyen, Julius K Weng, Julian Sison, Jonathan Waxer, Nimit Dholakia, Barbara Lam, Christophe Marques, Arthur J Olch, Leslie Ballas, Eric L Chang, Kenneth K Wong
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引用次数: 0

摘要

目的:我们使用定量分析来评估儿童和成人放射治疗交付的临床工作流程的效率,重点是我们在体积调制电弧治疗(VMAT)颅脊髓照射(CSI)方面的经验。方法:我们回顾性收集了2013年6月至2018年11月在同一学术机构的两家医院治疗的41名儿童患者的614次VMAT CSI和6名成人患者的48次VMAT CSI的临床和治疗具体数据。在此基础上建立多元线性回归模型预测总辐射时间(TRT)。使用四分位数范围异常值检测法过滤延长的治疗时间,以进行质量保证审查。结果:所有VMAT CSI治疗期的中位儿童TRT为21.07分钟(四分位数间距(IQR) 9.05)。小儿患者身高、分数数(分数1-3 vs分数> -3)和等中心数是TRT的显著预测因子(p < 0.01)。在成人患者中,所有VMAT CSI治疗疗程的中位TRT明显更长,为37.23分钟(IQR为45.92,p < 0.05),即使在亚组分析中比较非镇静患者中调整相同数量的等中心和IGRT模式的方案。只有儿科患者在前三次治疗后中位TRT下降。定性的因果因素分析揭示了延长TRT的合理原因,如焦虑、预期性恶心和呕吐、具有挑战性的设置、麻醉耐受性和延迟允许医生在线IGRT审查设置。结论:简单的描述性统计和回归模型可用于评估工作流程效率,并根据患者和技术特定因素估计放射治疗时间。我们在我们的儿科和成人医院模拟了VMAT CSI治疗的交付时间,以设定IGRT和光束交付的预期时间。工作流程分析可以识别机会,最大限度地减少时间效率低下和优化护理协调。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Volumetric modulated craniospinal irradiation workflow optimization through quantitative analytics: a single-institution case study comparing pediatric and adult settings.

Objective: We used quantitative analytics to assess the efficiency of the clinical workflow for radiation therapy delivery in children and adults focusing on our experience with volumetric modulated arc therapy (VMAT) craniospinal irradiation (CSI).

Methods: We retrospectively collected clinical and treatment specific data between June 2013 and November 2018 for 614 VMAT CSI sessions of 41 pediatric patients and 48 VMAT CSI sessions of 6 adult patients treated at two hospitals within the same academic institution. Descriptive statistics were generated and a multiple linear regression model was created to predict total radiation time (TRT) based on these predictors. Prolonged treatment sessions were filtered using the interquartile range outlier detection method for quality assurance review.

Results: The median pediatric TRT for all VMAT CSI treatment sessions was 21.07 min (interquartile range (IQR) 9.05). Pediatric patient height, fraction number (fractions 1-3 vs. fractions > 3), and number of isocenters were significant predictors for TRT (p < 0.01). In the case of adult patients, the median TRT for all VMAT CSI treatment sessions was significantly longer at 37.23 min (IQR 45.92, p < 0.05), even in subgroup analyses comparing plans adjusted for the same number of isocenters and IGRT modality in non-sedated patients. Only in pediatric patients did the median TRT decrease after the first three treatments. Qualitative causal factor analysis revealed plausible causes for prolonged TRT as anxiety, anticipatory nausea and vomiting, challenging setups, anesthesia tolerance, and delay to allow for physician online IGRT review of setup.

Conclusions: Simple descriptive statistics and regression modeling can be used to assess workflow efficiency and estimate radiation treatment times based on patient and technique-specific factors. We modeled VMAT CSI treatment delivery times at our pediatric and adult hospitals to set time expectations for IGRT and beam delivery. Workflow analytics can identify opportunities to minimize time inefficiencies and optimize coordination of care.

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