首页> 外文期刊>International Journal of Radiation Oncology, Biology, Physics >'Anatomically-correct' dosimetric parameters may be better predictors for esophageal toxicity than are traditional CT-based metrics.
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'Anatomically-correct' dosimetric parameters may be better predictors for esophageal toxicity than are traditional CT-based metrics.

机译:与传统的基于CT的指标相比,“解剖上正确的”剂量参数可以更好地预测食管毒性。

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Purpose: Incidental esophageal irradiation during lung cancer therapy often causes morbidity. There is interest in trying to relate esophageal dosimetric parameters to the risk of injury. These parameters typically rely on CT-defined esophageal contours, and thus systematic limitations in esophageal contouring will influence these parameters. We herein assess the ability of a correction method, based on physiologic principles, to improve the predictive power of dosimetric parameters for radiation-induced esophageal injury. Methods and Materials: Esophageal contours for 236 patients treated for lung cancer were quantitatively analyzed. All patients received three-dimensional planning, and all contours were generated by the same physician on axial CT images. Traditional dose-volume histogram (DVH)-based dosimetric parameters were extracted from the three-dimensional data set. A second set of anatomically correct contours to reflect the known shape of the esophagus. Each patient was scored for acute and late toxicity using ROTG criteria. Univariate analysis was used to assess the predictive power of corrected and uncorrected dosimetric parameters (e.g., mean dose, V(50), and V(60)) for toxicity. The p values were taken as a measure of their significance. Results: The univariate results indicate that both corrected and uncorrected dosimetric parameters are generally predictors for toxicity. The corrected parameters are more highly correlated (lower p value) with outcomes than the uncorrected metrics. Conclusions: The inclusion of corrections, based on anatomic realities, to DVH-based dosimetric parameters may provide dosimetric parameters that are better correlated with clinical outcomes than are traditional DVH-based metrics.
机译:目的:肺癌治疗过程中偶然发生的食道照射通常会导致发病。人们试图将食道剂量参数与受伤风险联系起来。这些参数通常依赖于CT定义的食管轮廓,因此食管轮廓中的系统限制将影响这些参数。我们在此基于生理原理评估一种校正方法的能力,以改善放射线引起的食管损伤的剂量参数的预测能力。方法和材料:定量分析了236例肺癌患者的食道轮廓。所有患者均接受了三维计划,并且所有轮廓均由同一位医生在轴向CT图像上生成。从三维数据集中提取了基于传统剂量-体积直方图(DVH)的剂量参数。第二组解剖学上正确的轮廓反映了食管的已知形状。使用ROTG标准对每位患者的急性和晚期毒性进行评分。单变量分析用于评估校正后和未校正剂量参数(例如平均剂量,V(50)和V(60))对毒性的预测能力。 p值被用作其重要性的量度。结果:单变量结果表明,校正和未校正的剂量参数通常都是毒性的预测指标。与未校正的指标相比,校正后的参数与结果的相关性更高(p值较低)。结论:基于解剖现实,对基于DVH的剂量学参数的校正包括在内,可以提供比基于DVH的传统方法更好的与临床结果相关的剂量学参数。

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