Comparing different NTCP models that predict the incidence of radiation pneumonitis
Comparing different NTCP models that predict the incidence of radiation pneumonitis
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DOI：
10.1016/s0360-3016(02)03986-x
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发表时间：
2003-03-01
影响因子：
7
通讯作者：
Ten Haken, RK
中科院分区：
文献类型：
--
作者：
Seppenwoolde, Y;Lebesque, JV;Ten Haken, RK
目的：比较不同的正常组织并发症概率（NTCP）模型预测放射性肺炎的发病率的基础上，在lung.Methods和材料的剂量分布：从382乳腺癌，恶性淋巴瘤，不能手术的非小细胞肺癌患者从两个中心的数据进行了研究。放射性肺炎采用西南肿瘤组标准进行评分。根据剂量分布计算肺的剂量-体积直方图，该剂量分布针对剂量/分次效应进行了校正。使用不同的局部剂量-效应关系将每例患者的剂量-体积直方图简化为单个参数。单个参数的示例是平均肺剂量（MLD）和接收超过阈值剂量的肺体积（V-Dth）。不同的NTCP模型的参数适合患者的数据，使用最大似然analysis.Results：最佳拟合导致在一个线性的局部剂量效应关系，与MLD作为所产生的单一参数。MLD和NTCP之间的关系可以用30.8戈伊的中位毒性剂量（TD 50）和0.37的陡度参数m来描述。在D-th为13戈伊时，获得了V-Dth和NTCP之间关系的最佳拟合。发现MLD模型显著优于VI模型（p
Purpose: To compare different normal tissue complication probability (NTCP) models to predict the incidence of radiation pneumonitis on the basis of the dose distribution in the lung.Methods and Materials: The data from 382 breast cancer, malignant lymphoma, and inoperable non-small-cell lung cancer patients from two centers were studied. Radiation pneumonitis was scored using the Southwestern Oncology Group criteria. Dose-volume histograms of the lungs were calculated from the dose distributions that were corrected for dose per fraction effects. The dose-volume histogram of each patient was reduced to a single parameter using different local dose-effect relationships. Examples of single parameters were the mean lung dose (MLD) and the volume of lung receiving more than a threshold dose (V-Dth). The parameters for the different NTCP models were fit to patient data using a maximum likelihood analysis.Results: The best fit resulted in a linear local dose-effect relationship, with the MLD as the resulting single parameter. The relationship between the MLD and NTCP could be described with a median toxic dose (TD50) of 30.8 Gy and a steepness parameter m of 0.37. The best fit for the relationship between the V-Dth and the NTCP was obtained with a D-th of 13 Gy. The MLD model was found to be significantly better than the VIth model (p