Casares-Magaz Oscar, Raidou Renata G, Rørvik Jarle, Vilanova Anna, Muren Ludvig P
Department of Medical Physics, Aarhus University Hospital/Aarhus University, Aarhus, Denmark.
Institute of Computer Graphics and Algorithms, Vienna University of Technology, Austria.
Phys Imaging Radiat Oncol. 2018 Jan 12;5:5-8. doi: 10.1016/j.phro.2017.12.003. eCollection 2018 Jan.
Functional imaging techniques provide radiobiological information that can be included into tumour control probability (TCP) models to enable individualized outcome predictions in radiotherapy. However, functional imaging and the derived radiobiological information are influenced by uncertainties, translating into variations in individual TCP predictions. In this study we applied a previously developed analytical tool to quantify dose and TCP uncertainty bands when initial cell density is estimated from MRI-based apparent diffusion coefficient maps of eleven patients. TCP uncertainty bands of 16% were observed at patient level, while dose variations bands up to 8 Gy were found at voxel level for an -TCP approach.
功能成像技术可提供放射生物学信息，这些信息可纳入肿瘤控制概率（TCP）模型，以便在放射治疗中进行个体化的结果预测。然而，功能成像及由此得出的放射生物学信息受到不确定性的影响，这会转化为个体TCP预测的差异。在本研究中，我们应用了一种先前开发的分析工具，在根据11名患者基于磁共振成像的表观扩散系数图估计初始细胞密度时，对剂量和TCP不确定性范围进行量化。在患者层面观察到TCP不确定性范围为16%，而对于一种-TCP方法，在体素层面发现剂量变化范围高达8 Gy。
