瑞士放射治疗中的可变形图像配准:使用模式调查和多机构可变形剂量累积比较。

Florian Amstutz, Björn Zobrist, Peter Manser, Michael K Fix
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引用次数: 0

摘要

背景和目的:可变形图像配准(DIR)为图像引导和自适应放疗提供了先进的应用。然而,DIR尚未广泛应用于临床。本研究解决了两个挑战:(1)通过对瑞士放疗机构的调查评估DIR实践并确定障碍,提供瑞士特定的见解;(2)通过分析累积剂量的剂量差异来评估多机构基于变形的剂量积累(DDA)不确定性。这些发现旨在为共识指南提供信息,量化DDA不确定性,并支持标准化的未来DIR整合到常规放疗中。材料和方法:所有具有可用联系方式的瑞士放疗机构被邀请参加研究的两个部分:调查和多机构DDA评估。该调查包括25个问题,于2024年8月23日至10月31日进行。调查结果与其他国家的调查结果进行了比较。对于DDA评估,参与者使用共享数据集,包括具有两种剂量分布的肺癌病例,一种是传统的VMAT剂量,另一种是人工创造的长方体剂量,以执行DIR和累积剂量。长方体剂量用于具有“完美”剂量梯度的标准剂量。机构间剂量差异水平是通过目视和计算体素水平上的剂量差异来评估的。结果:26所研究所中有18所(69%)完成了调查。18所研究所临床均采用刚性图像配准(RIR), 11所(61.1%)采用DIR。其中五个研究所在研究项目中使用DIR。RIR主要用于图像融合(100%的研究所),患者定位(88.9%),并作为DIR或自适应RT的初步步骤(55.6%)。DIR用例包括图像融合、剂量积累和自适应工作流。临床常规采用DIR的障碍包括软件限制和缺乏质量管理方法。迄今为止,瑞士放疗机构在很大程度上缺乏对DIRs的标准化质量管理。6家机构参与了剂量累积部分,提交了VMAT和长方体剂量分布的剂量累积结果。目视检查显示了机构间的差异,特别是在剂量梯度较大的地区。定量分析显示,总剂量为10 Gy时,平均体素绝对差异为0.01 ~ 0.03 Gy (VMAT),对应0.1% ~ 0.3%;平均体素绝对差异为0.18 ~ 0.45 Gy(长方体),对应1.8% ~ 4.5%。在陡峭的剂量梯度中,差异更为明显,因此,在接近PTV时。体素最大最小分析强调了梯度区域的可变性,即使是不同研究所使用的相同算法,也强调了软件、软件使用和工作流程选择对剂量累积结果的影响。与VMAT剂量相比,长方体剂量显示出更高的不确定性可解释性。结论:DIR在瑞士RT机构的使用主要受到商用软件工作流程效率低下和质量管理选择不足的阻碍。具体来说,与其他国家的调查结果相比,瑞士RT研究所对DIR的标准化验证、调试和不确定性处理水平较低。多机构DDA比较增加了对DDA不确定范围和幅度的认识。长方体剂量将来可能有助于以标准化的方式评估剂量水平的不确定性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Deformable image registration (DIR) in Swiss radiotherapy: Usage patterns survey and multi-institutional deformable dose accumulation comparison.

Background and purpose: Deformable image registration (DIR) enables advanced applications for image-guided and adaptive radiotherapy. However, DIR has not yet been widely adopted in clinical settings. This study addresses two challenges: (1) evaluating DIR practices and identifying barriers through a survey of Swiss radiotherapy institutes, providing Swiss-specific insights, and (2) assessing multi-institutional deformable-based dose accumulation (DDA) uncertainties by analyzing dose discrepancies on the accumulated dose. These findings aim to inform consensus guidelines, quantify DDA uncertainties, and support standardized future DIR integration into routine RT.

Material and methods: All Swiss radiotherapy institutes with available contact details were invited to participate in the study's two parts: a survey and a multi-institutional DDA evaluation. The survey consisted of 25 questions and was conducted from August 23 to October 31, 2024. Survey results were compared to surveys from other countries. For the DDA evaluation, participants used shared datasets, including a lung cancer case with two dose distributions, one conventional VMAT dose and one artificially created cuboid dose, to perform DIR and accumulate doses. The cuboid dose was used to have a standardized dose with a "perfect" dose gradient. The level of inter-institutional dose discrepancies was assessed visually and by calculating dose differences on a voxel level.

Results: Eighteen out of 26 institutes (69%) completed the survey. All 18 institutes use rigid image registration (RIR) clinically, 11 (61.1%) use DIR. Five of those institutes use DIR in research projects. RIR is primarily applied for image fusion (100% of the institutes), patient positioning (88.9%), and as a preliminary step to DIR or adaptive RT (55.6%). DIR use cases include image fusion, dose accumulation, and adaptive workflows. Barriers to DIR adoption in clinical routine include software limitations and a lack of quality management methods. Standardized quality management of DIRs is largely missing in Swiss radiotherapy institutes so far. Six institutes participated in the dose accumulation part, submitting dose accumulation results for a VMAT and a cuboid dose distribution. Visual inspection revealed inter-institutional differences, particularly in steep dose gradient areas. Quantitative analysis showed average voxel-wise absolute differences of 0.01-0.03 Gy (VMAT), corresponding to 0.1%-0.3%, and 0.18-0.45 Gy (cuboid), corresponding to 1.8%-4.5%, for a total dose of 10 Gy. Differences were more pronounced in steep dose gradients and, consequently, in proximity to the PTV. The voxel-wise maximum-minimum analysis highlighted variability in gradient regions, even for the same algorithms used by different institutes, emphasizing the impact of software, software usage, and workflow choices on dose accumulation outcomes. The cuboid dose showed increased interpretability of the uncertainty compared to VMAT doses.

Conclusions: The usage of DIR in Swiss RT institutes is primarily hindered by workflow inefficiencies in commercially available software and insufficient quality management options. Specifically, a lower level of standardized validation, commissioning, and uncertainty handling for DIR was observed in the Swiss RT institutes compared to survey outcomes in other countries. The multi-institutional DDA comparison increased the knowledge on DDA uncertainty areas and magnitude. Cuboid doses might help to evaluate uncertainties on the dose level in a standardized way in the future.

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