在TROG 18.01 NINJA试验中实施了一个自动化的轮质量保证工具
Phillip Chlap1, Hang Min2, Jarad Martin3
1South West Sydney Clinical Campuses, University of New South Wales, Sydney, NSW, Australia; Ingham Institute for Applied Medical Research, Liverpool, NSW, Australia; Liverpool and Macarthur Cancer Therapy Centre, Liverpool, NSW, Australia.
概括
前列腺癌临床试验的自动化轮质量保证 (QA) 是有希望的,正确识别所有错误,但面临着假阳性挑战. 为了更广泛的实施,需要进一步自动化工作流程.
科学领域:
- 医疗成像医学成像
- 辐射瘤学 辐射瘤学
- 临床试验 临床试验
背景情况:
- 自动化轮质量保证 (QA) 可以降低临床试验的成本.
- 在现实世界的前性试验中,很少有自动化质量保证模型被实施.
研究的目的:
- 在TROG 18.01 NINJA前列腺癌试验中实施和评估自动化轮QA工具.
- 评估工具的性能,并确定需要改进的领域.
主要方法:
- 使用现有的前列腺临床目标体积 (CTV) QA模型开发了一个软件工具.
- 将该工具集成到试验质量保证工作流程中,进行了为期18个月的试点研究,涉及56个CTV.
- 为放射瘤学家提供报告,以帮助质量保证过程.
主要成果:
- 在识别违反协议的CTV时实现了100%的灵敏度.
- 由于数据偏差,经历了高的错误阳性率 (精度为0.46,特异性为0.41).
- 通过结合分布外检测,在分布内病例的精度提高到0.69.
- 报道了辐射瘤学家的时间节省,但QA协调员的密集数据准备.
结论:
- 在多中心试验中证明了自动轮质量保证的可行性.
- 为扩大自动化质量保证实施提供了见解.
- 强调需要进一步自动化工作流程,以应对数据准备方面的挑战.
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