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定量评估膈肌运动的可变性及其对治疗靶区外放边界构建的影响。

Quantification of the variability of diaphragm motion and implications for treatment margin construction.

机构信息

Department of Radiation Oncology, The Netherlands Cancer Institute-Antoni van Leeuwenhoek Hospital, Amsterdam, The Netherlands.

出版信息

Int J Radiat Oncol Biol Phys. 2012 Mar 1;82(3):e399-407. doi: 10.1016/j.ijrobp.2011.06.1986.

Abstract

PURPOSE

To quantify the variability of diaphragm motion during free-breathing radiotherapy of lung patients and its effect on treatment margins to account for geometric uncertainties.

METHODS AND MATERIALS

Thirty-three lung cancer patients were analyzed. Each patient had 5-19 cone-beam scans acquired during different treatment fractions. The craniocaudal position of the diaphragm dome on the same side as the tumor was tracked over 2 min in the projection images, because it is both easily visible and a suitable surrogate to study the variability of the tumor motion and its impact on treatment margins. Intra-acquisition, inter-acquisition, and inter-patient variability of the respiratory cycles were quantified separately, as were the probability density functions (PDFs) of the diaphragm position over each cycle, each acquisition, and each patient. Asymmetric margins were simulated using each patient PDF and compared to symmetric margins computed from a margin recipe.

RESULTS

The peak-to-peak amplitude variability (1 SD) was 3.3 mm, 2.4 mm, and 6.1 mm for the intra-acquisition, inter-acquisition, and inter-patient variability, respectively. The average PDF of each cycle was similar to the sin(4) function but the PDF of each acquisition was closer to a skew-normal distribution because of the motion variability. Despite large interfraction baseline variability, the PDF of each patient was generally asymmetric with a longer end-inhale tail because the end-exhale position was more stable than the end-inhale position. The asymmetry of the PDF required asymmetric margins around the time-averaged position to account for the position uncertainty but the average difference was 1.0 mm (range, 0.0-4.4 mm) for a sharp penumbra and an idealized online setup correction protocol.

CONCLUSION

The respiratory motion is more irregular during the fractions than between the fractions. The PDF of the respiratory motion is asymmetrically distributed. Both the intra-acquisition variability and the PDF asymmetry have a limited impact on dose distributions and inferred margins. The use of a margin recipe to account for respiratory motion with an estimate of the average motion amplitude was adequate in almost all patients.

摘要

目的

量化肺肿瘤患者在自由呼吸放疗过程中膈肌运动的变化,并计算其对治疗边界的影响,以考虑几何不确定性。

方法与材料

分析了 33 例肺癌患者。每位患者在不同的分次治疗中采集了 5-19 次锥形束扫描。在投影图像上,对肿瘤同侧的膈肌穹顶在 2 分钟内的头脚向位置进行跟踪,因为它既容易观察,又是研究肿瘤运动变化及其对治疗边界影响的合适替代指标。分别量化了呼吸周期的采集内、采集间和患者间变异性,以及每个周期、每个采集和每个患者的膈肌位置的概率密度函数 (PDF)。使用每个患者的 PDF 模拟不对称边界,并与从边界配方计算的对称边界进行比较。

结果

采集内、采集间和患者间变异性的峰值到峰值幅度变化(1 SD)分别为 3.3、2.4 和 6.1 mm。每个周期的平均 PDF 与 sin(4) 函数相似,但由于运动变异性,每个采集的 PDF 更接近偏态正态分布。尽管分期间基线变异性较大,但由于呼气末位置比吸气末位置更稳定,每个患者的 PDF 通常不对称,呼气末吸气时间较长。为了考虑位置不确定性,PDF 的不对称性需要在时间平均位置周围设置不对称边界,但对于锐边界半影和理想化在线设置校正协议,平均差异为 1.0 mm(范围为 0.0-4.4 mm)。

结论

与分次间相比,分次内的呼吸运动更不规则。呼吸运动的 PDF 呈不对称分布。采集内变异性和 PDF 不对称性对剂量分布和推断的边界都有有限的影响。使用边界配方来估计平均运动幅度来考虑呼吸运动,在几乎所有患者中都是足够的。

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