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A multi-institutional study of independent calculation verification in inhomogeneous media using a simple and effective method of heterogeneity correction integrated with the Clarkson method

机译:使用简单有效的异质性校正方法与Clarkson方法相结合的多机构独立研究方法用于非均质介质中的验证

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摘要

In inhomogeneous media, there is often a large systematic difference in the dose between the conventional Clarkson algorithm (C-Clarkson) for independent calculation verification and the superposition-based algorithms of treatment planning systems (TPSs). These treatment site–dependent differences increase the complexity of the radiotherapy planning secondary check. We developed a simple and effective method of heterogeneity correction integrated with the Clarkson algorithm (L-Clarkson) to account for the effects of heterogeneity in the lateral dimension, and performed a multi-institutional study to evaluate the effectiveness of the method. In the method, a 2D image reconstructed from computed tomography (CT) images is divided according to lines extending from the reference point to the edge of the multileaf collimator (MLC) or jaw collimator for each pie sector, and the radiological path length (RPL) of each line is calculated on the 2D image to obtain a tissue maximum ratio and phantom scatter factor, allowing the dose to be calculated. A total of 261 plans (1237 beams) for conventional breast and lung treatments and lung stereotactic body radiotherapy were collected from four institutions. Disagreements in dose between the on-site TPSs and a verification program using the C-Clarkson and L-Clarkson algorithms were compared. Systematic differences with the L-Clarkson method were within 1% for all sites, while the C-Clarkson method resulted in systematic differences of 1–5%. The L-Clarkson method showed smaller variations. This heterogeneity correction integrated with the Clarkson algorithm would provide a simple evaluation within the range of −5% to +5% for a radiotherapy plan secondary check.
机译:在非均质介质中,用于独立计算验证的常规Clarkson算法(C-Clarkson)与治疗计划系统(TPSs)的基于叠加的算法之间通常在剂量上存在很大的系统差异。这些取决于治疗部位的差异增加了放疗计划二次检查的复杂性。我们开发了一种与Clarkson算法(L-Clarkson)相集成的简单有效的异质性校正方法,以解决异质性在横向尺寸上的影响,并进行了多机构研究以评估该方法的有效性。在该方法中,根据从X射线断层扫描(CT)图像重建的2D图像,根据从参考点到多叶准直仪(MLC)或颚式准直仪边缘的每个饼扇形的线和放射线长度(RPL)进行划分在2D图像上计算每行的),以获得组织最大比率和幻影散射因子,从而可以计算剂量。总共从四个机构收集了261份计划(1237束)用于常规乳房和肺部治疗以及肺部立体定向放射疗法。比较了现场TPS与使用C-Clarkson和L-Clarkson算法的验证程序之间的剂量分歧。 L-Clarkson方法的系统差异在所有位点均在1%以内,而C-Clarkson方法导致的系统差异为1-5%。 L-Clarkson方法显示出较小的变化。与Clarkson算法集成的这种异质性校正将为放射治疗计划的二次检查提供-5%至+ 5%范围内的简单评估。

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