Amstutz Florian, Zobrist Björn, Manser Peter, Fix Michael K
Division of Medical Radiation Physics and Department of Radiation Oncology, Inselspital, Bern University Hospital, and University of Bern, Bern, Switzerland.
Division of Medical Radiation Physics and Department of Radiation Oncology, Inselspital, Bern University Hospital, and University of Bern, Bern, Switzerland.
Z Med Phys. 2025 May 23. doi: 10.1016/j.zemedi.2025.05.001.
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.
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.
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.
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.
可变形图像配准(DIR)能够实现图像引导和自适应放射治疗的高级应用。然而,DIR尚未在临床环境中广泛应用。本研究解决了两个挑战:(1)通过对瑞士放射治疗机构的调查评估DIR实践并识别障碍,提供瑞士特有的见解;(2)通过分析累积剂量上的剂量差异评估多机构基于可变形的剂量累积(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,并支持未来将DIR标准化整合到常规放疗中。
所有拥有可用联系方式的瑞士放射治疗机构受邀参与研究的两个部分:一项调查和一次多机构DDA评估。该调查由25个问题组成,于2024年8月23日至10月31日进行。将调查结果与其他国家的调查结果进行比较。对于DDA评估,参与者使用共享数据集,包括一个肺癌病例的两个剂量分布,一个传统的容积调强放疗(VMAT)剂量和一个人工创建的长方体剂量,以进行DIR并累积剂量。使用长方体剂量是为了获得具有“完美”剂量梯度的标准化剂量。通过视觉评估和计算体素水平上的剂量差异来评估机构间剂量差异的程度。
26家机构中有18家(69%)完成了调查。所有18家机构在临床中使用刚性图像配准(RIR),11家(61.1%)使用DIR。其中5家机构在研究项目中使用DIR。RIR主要应用于图像融合(100%的机构)、患者定位(88.9%)以及作为DIR或自适应放疗的初步步骤(55.6%)。DIR的应用案例包括图像融合、剂量累积和自适应工作流程。在临床常规中采用DIR的障碍包括软件限制和缺乏质量管理方法。到目前为止,瑞士放射治疗机构在很大程度上缺乏DIR的标准化质量管理。六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。视觉检查揭示了机构间的差异,特别是在陡峭剂量梯度区域。定量分析显示,对于10 Gy的总剂量,体素水平上的平均绝对差异为0.01 - 0.03 Gy(VMAT),相当于0.1% - 0.3%,以及0.18 - 0.45 Gy(长方体),相当于1.8% - 4.5%。差异在陡峭剂量梯度中更明显,因此在接近计划靶体积(PTV)处更明显。体素水平上的最大 - 最小分析突出了梯度区域的变异性,即使对于不同机构使用的相同算法也是如此,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,长方体剂量显示出不确定性的可解释性增加。
瑞士放疗机构中DIR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项不足的阻碍。具体而言,与其他国家的调查结果相比,瑞士放疗机构中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不确定性领域和程度的了解。长方体剂量可能有助于未来以标准化方式评估剂量水平上的不确定性。