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胸肿瘤患者应用 CyberKnife 行 CTV 至 PTV 边缘的回顾性评估。

Retrospective evaluation of CTV to PTV margins using CyberKnife in patients with thoracic tumors.

机构信息

Department of Medical Physics.

出版信息

J Appl Clin Med Phys. 2014 Nov 8;15(6):4825. doi: 10.1120/jacmp.v15i6.4825.

Abstract

The objectives of this study were to estimate global uncertainty for patients with thoracic tumors treated in our center using the CyberKnife VSI after placement of fiducial markers and to compare our findings with the standard CTV to PTV margins used to date. Datasets for 16 patients (54 fractions) treated with the CyberKnife and the Synchrony Respiratory Tracking System were analyzed retrospectively based on CT planning, tracking information, and movement data generated and saved in the logs files by the system. For each patient, we analyzed all the main uncertainty sources and assigned a value. We also calculated an expanded global uncertainty to ensure a robust estimation of global uncertainty and to enable us to determine the position of 95% of the CTV points with a 95% confidence level during treatment. Based on our estimation of global uncertainty and compared with our general mar- gin criterion (5 mm in all three directions: superior/inferior [SI], anterior/posterior [AP], and lateral [LAT]), 100% were adequately covered in the LAT direction, as were 94% and 94% in the SI and AP directions. We retrospectively analyzed the main sources of uncertainty in the CyberKnife process patient by patient. This individualized approach enabled us to estimate margins for patients with thoracic tumors treated in our unit and compare the results with our standard 5 mm margin.

摘要

本研究的目的是使用 CyberKnife VSI 估算在我们中心接受治疗的胸部肿瘤患者的全球不确定性,并将我们的发现与目前使用的标准 CTV 到 PTV 边界进行比较。回顾性分析了 16 名患者(54 个分次)的数据集,这些患者使用 CyberKnife 和 Synchrony 呼吸跟踪系统进行治疗,分析基于 CT 计划、跟踪信息以及系统生成和保存在日志文件中的运动数据。对于每个患者,我们分析了所有主要的不确定性来源并分配了一个值。我们还计算了扩展的全局不确定性,以确保对全局不确定性进行稳健估计,并使我们能够在治疗期间以 95%的置信水平确定 95%的 CTV 点的位置。基于我们对全局不确定性的估计,并与我们的一般边界标准(三个方向的所有方向上均为 5 毫米:上下 [SI]、前后 [AP] 和左右 [LAT])进行比较,在 LAT 方向上 100%得到了充分覆盖,在 SI 和 AP 方向上,94%和 94%也得到了充分覆盖。我们回顾性地分析了每个患者的 CyberKnife 过程中的主要不确定性来源。这种个体化方法使我们能够估算在我们科室接受治疗的胸部肿瘤患者的边界,并将结果与我们的标准 5 毫米边界进行比较。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/095d/5711121/3c972ca8d719/ACM2-15-059-g001.jpg

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