Estimation of tumor control probability model parameters from 3-D dose distributions of non-small cell lung cancer patients
Estimation of tumor control probability model parameters from 3-D dose distributions of non-small cell lung cancer patients
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DOI：
10.1016/s0169-5002(99)00019-7
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发表时间：
1999-04-01
期刊：
影响因子：
5.3
通讯作者：
Lichter, AS
中科院分区：
文献类型：
--
作者：
Martel, MK;Ten Haken, RK;Lichter, AS
肿瘤控制概率（TCP）模型计算可以以相对的方式用于评估和优化三维（3-D）治疗计划。使用一个数学模型，其中作出了一些简单的假设，根据肿瘤的3-D剂量分布可以估计TCP，给出肿瘤控制概率为50%所需的剂量（D-50）和D-50处S形剂量-反应曲线的标准化斜率（γ）。D治疗计划，以治疗非小细胞肺癌（NSCLC）患者。我们的研究结果表明，对于NSCLC患者，达到显著肿瘤控制概率的剂量可能较大（约84戈伊），局部无进展生存期较长（> 30个月）。(C)1999爱思唯尔科学爱尔兰有限公司保留所有权利。
Tumor control probability (TCP) model calculations may be used in a relative manner to evaluate and optimize three-dimensional (3-D) treatment plans. Using a mathematical model which makes a number of simplistic assumptions, TCPs can be estimated from a 3-D dose distribution of the tumor given the dose required for a 50% probability of tumor control (D-50) and the normalized slope (gamma) of the sigmoid-shaped dose-response curve at D-50 The purpose of this work was to derive D-50 and gamma from our clinical experience using 3-D treatment planning to treat non-small cell lung cancer (NSCLC) patients. Our results suggest that for NSCLC patients, the dose to achieve significant probability of tumor control may be large (on the order of 84 Gy) for longer (> 30 months) local progression-free survival. (C) 1999 Elsevier Science Ireland Ltd. All rights reserved.