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利用基于人群的计划库策略减少直肠癌放疗的边缘和 PTV 体积。

Margin and PTV volume reduction using a population based library of plans strategy for rectal cancer radiotherapy.

机构信息

Department of Radiation Oncology, The Netherlands Cancer Institute, Amsterdam, The Netherlands.

出版信息

Med Phys. 2018 Oct;45(10):4345-4354. doi: 10.1002/mp.13137. Epub 2018 Sep 14.

Abstract

PURPOSE

Day-to-day shape variation in the rectum CTV results in considerable geometric uncertainties during rectal cancer radiotherapy. To ensure coverage a large CTV-to-PTV margin is required. The purpose of this study was to increase the accuracy of treatment delivery by building a population based library of planning CTVs for rectal cancer patients and to evaluate its potential for rectum PTV margin and PTV volume reduction.

METHODS

Analysis was done retrospectively on 33 early-stage rectal cancer patients with daily repeat CTs who received short-course pre-operative radiotherapy in 5 fractions of 5 Gy. We created signed distance maps from the planning rectum CTV to each of the repeat CTVs, from which we calculated the group mean, systematic and random error. The correlation between different regions of the rectum CTV was analyzed and used in combination with the distance maps to create the library of nine planning CTVs. For each of the repeat CTVs the best fitting CTV structure in the library was automatically selected defined by the plan that minimized the mean absolute distance between the repeat and library CTV. Residual distance maps were calculated from which a new PTV margin was constructed. Bootstrapping was performed on the margin difference to assess its significance.

RESULTS

Residual errors were found to decrease with the number of plans in the library, but adding more than five plans yields negligible further error reduction. Margin reduction of up to 50% was achieved at the upper-anterior site of the mesorectum. The average PTV volume decreased by 15.5% when a library is introduced.

CONCLUSIONS

A library of plans strategy for rectal cancer based on population statistics is feasible and results in a considerably reduced average rectum PTV volume compared to conventional radiotherapy.

摘要

目的

直肠癌放疗过程中,直肠CTV 的日常形状变化会导致相当大的几何不确定性。为了确保覆盖范围,需要较大的 CTV-PTV 边界。本研究旨在通过构建基于人群的直肠癌计划CTV 库来提高治疗的准确性,并评估其在直肠 PTV 边界和 PTV 体积缩小方面的潜力。

方法

对 33 例接受 5 次 5Gy 短程术前放疗的早期直肠癌患者进行了回顾性分析。我们从计划直肠CTV 到每个重复CTV 生成了签名距离图,从中计算了组平均值、系统误差和随机误差。分析了直肠CTV 不同区域之间的相关性,并将其与距离图相结合,创建了 9 个计划 CTV 库。对于每个重复 CTV,自动选择库中最匹配的 CTV 结构,定义为使重复CTV 和库 CTV 之间的平均绝对距离最小的计划。从剩余距离图中构建新的 PTV 边界。对边界差异进行 bootstrap 分析以评估其显著性。

结果

残余误差随库中计划数量的增加而减小,但增加超过 5 个计划几乎不会进一步减小误差。在中肠的前上部位可实现高达 50%的边界减少。引入库后,平均 PTV 体积减少了 15.5%。

结论

基于人群统计学的直肠癌计划库策略是可行的,与常规放疗相比,可显著降低直肠 PTV 的平均体积。

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