辐射瘤学的结果建模中的不确定性
Lukas Dünger1, Emily Mäusel1, Alex Zwanenburg1,2
1OncoRay - National Center for Radiation Research in Oncology, Faculty of Medicine and University Hospital Carl Gustav Carus, TUD Dresden University of Technology, Helmholtz-Zentrum Dresden-Rossendorf, Dresden, Germany.
Physics and imaging in radiation oncology
|June 9, 2025
概括
辐射瘤学的结果模型对于个性化治疗至关重要,但面临不确定性. 本综述详细介绍了不确定性类型,量化方法以及这些预测模型可靠临床整合的未来挑战.
科学领域:
- 辐射瘤学 辐射瘤学
- 医学物理 医学物理
- 生物统计学 生物统计学
背景情况:
- 结果模型对于预测患者的结果至关重要,例如辐射瘤学中的生存率和毒性.
- 这些模型支持临床决策和个性化医疗.
- 模型可靠性对于临床整合至关重要,但不确定性是一个挑战.
研究的目的:
- 审查结果模型中不确定性的类型和来源.
- 提出量化这些不确定性的方法.
- 突出可靠模型开发和临床使用的未来挑战.
主要方法:
- 在预测建模中对不确定性量化的文献综述.
- 不确定性类型和来源的分类.
- 讨论各种建模方法适用的方法.
主要成果:
- 确定了各种不确定性来源,包括数据和模型参数.
- 总结了各种不确定性量化技术.
- 突出了解决模型不确定性的关键挑战.
结论:
- 量化和解决不确定性对于开发可靠的结果模型至关重要.
- 在放射瘤学中成功进行临床整合,需要可靠的模型.
- 需要进一步的研究来克服所识别的挑战.
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