多机构基于知识 (KB) 计划预测对整个乳房辐射的基准模型.
Alessia Tudda1, Roberta Castriconi1, Lorenzo Placidi2
1Medical Physics Dept IRCCS San Raffaele Scientific Institution Milano Italy.
概括
这项研究开发了针对全乳腺照射 (WBI) 计划的多机构知识基础 (KB) 基准模型. 这些模型可以准确地预测不同中心的治疗结果,这对于质量保证和教育非常有用.
科学领域:
- 医学物理 医学物理
- 辐射瘤学 辐射瘤学
- 计算生物学 计算生物学
背景情况:
- 基于知识的 (KB) 规划越来越多地用于放射性瘤学.
- 开发强大,多机构的 KB 模型对于更广泛的采用和标准化至关重要.
- 使用触角场的全乳房辐射 (WBI) 是一种常见的治疗方式.
研究的目的:
- 通过合并来自大量多机构整乳照射 (WBI) 计划的数据来训练和验证基于知识 (KB) 的预测模型.
- 评估机构KB模型在不同中心的可转移性.
- 创建代表多机构绩效的基准KB模型.
主要方法:
- 十个机构为WBI开发了机构KB模型 (左/右).
- 用几何学主要组件分析和优化策略比较来评估模型可转移性.
- 来自具有可转移模型的机构的数据被结合起来,构建了两个KB基准模型 (右/左乳房).
- 在基准模型和机构模型之间比较了剂量体积图 (DVH) 预测波段.
主要成果:
- 大多数机构KB模型都显示了跨中心的可转移性.
- 使用来自多个机构的850名患者的数据创建了多机构的基准模型.
- 与个人机构模型相比,KB基准模型在预测频段 (肺/心脏DVH) 中显示出很高的相似性.
- 右乳房KB基准模型预测的平均肺剂量 (Dmean) 略低于大多数机构模型.
结论:
- 成功为WBI生成多机构KB基准模型.
- 这些模型代表了在经验丰富的多机构环境中取得的绩效.
- KB-基准模型在自动计划优化,质量保证/审计和教育方面有着重要的应用.
相关概念视频
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