我们是否需要将治疗计划系统的类型,剂量计算网格大小和CT密度曲线添加到预测模型中?
Reza Reiazi1, Surendra Prajapati1, Leonardo Che Fru1
1Department of Radiation Physics, Division of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
Diagnostics (Basel, Switzerland)
|March 28, 2025
概括
预测瘤复发的预测模型受到域依赖的阻碍. 标准化治疗计划数据和使用域调整技术可以提高辐射瘤学中的模型通用性和可靠性.
科学领域:
- 医学物理 医学物理
- 在瘤学瘤学.
- 在医疗保健中的数据科学.
背景情况:
- 概括性和域依赖性对医疗保健中的预测模型构成挑战,特别是在辐射瘤学中.
- 预测瘤复发的模型需要高质量的数据,但治疗计划的变化可能会降低可靠性.
- 域依赖源于剂量计算,成像和机构协议的差异.
研究的目的:
- 为了评估两个治疗计划系统之间的剂量计算差异.
- 评估剂量网格大小和CT密度转换曲线对域依赖性的影响.
- 确定提高辐射瘤学预测模型通用性的策略.
主要方法:
- 使用Pinnacle 9.10和RayStation 11对19名头癌患者的治疗计划进行比较剂量计算.
- 分析了剂量网格大小和CT密度转换曲线的变化.
- 评估了这些变异对域依赖性的影响.
主要成果:
- 剂量网格大小差异对RayStation的影响比Pinnacle更大.
- CT曲线变化引入了潜在的域差异.
- 精确,标准化的治疗计划对于可靠的预测建模至关重要.
结论:
- 包括治疗规划参数作为特征可以减轻域依赖,提高预测准确性.
- 多机构数据协调和域调整是模型通用性的关键.
- 这些策略增强了预测模型在临床工作流程中的整合,以获得更好的患者结果.
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