Kejda Alannah, Quinn Alexandra, Wong Shelley, Lowe Toby, Fent Isabelle, Gargett Maegan, Roderick Stephanie, Grimberg Kylie, Bergamin Sarah, Eade Thomas, Booth Jeremy
Northern Sydney Cancer Centre, Royal North Shore Hospital, Sydney, NSW, Australia.
University of Sydney, Sydney, Australia.
Phys Imaging Radiat Oncol. 2023 Aug 31;28:100490. doi: 10.1016/j.phro.2023.100490. eCollection 2023 Oct.
Simulation-free radiotherapy, where diagnostic imaging is used for treatment planning, improves accessibility of radiotherapy for eligible palliative patients. Combining this pathway with online adaptive radiotherapy (oART) may improve accuracy of treatment, expanding the number of eligible patients. This study evaluated the adaptive process duration, plan dose volume histogram (DVH) metrics and geometric accuracy of a commercial cone-beam computed tomography (CBCT)-guided oART system for simulation-free, palliative radiotherapy.
Ten previously treated palliative cases were used to compare system-generated contours against clinician contours in a test environment with Dice Similarity Coefficient (DSC). Twenty simulation-free palliative patients were treated clinically using CBCT-guided oART. Analysis of oART clinical treatment data included; evaluation of the geometric accuracy of system-generated synthetic CT relative to session CBCT anatomy using a Likert scale, comparison of adaptive plan dose distributions to unadapted, using DVH metrics and recording the duration of key steps in the oART workflow.
Auto-generated contours achieved a DSC of higher than 0.85, excluding the stomach which was attributed to CBCT image quality issues. Synthetic CT was locally aligned to CBCT anatomy for approximately 80% of fractions, with the remaining suboptimal yet clinically acceptable. Adaptive plans achieved a median CTV V95% of 99.5%, compared to 95.6% for unadapted. The median overall oART process duration was found to be 13.2 mins, with contour editing being the most time-intensive adaptive step.
The CBCT-guided oART system utilising a simulation-free planning approach was found to be sufficiently accurate for clinical implementation, this may further streamline and improve care for palliative patients.
无模拟放疗利用诊断成像进行治疗计划,提高了符合条件的姑息治疗患者接受放疗的可及性。将此途径与在线自适应放疗(oART)相结合可能会提高治疗准确性,增加符合条件的患者数量。本研究评估了一种商用锥形束计算机断层扫描(CBCT)引导的oART系统在无模拟姑息放疗中的自适应过程持续时间、计划剂量体积直方图(DVH)指标和几何精度。
在测试环境中,使用骰子相似系数(DSC)将10例先前接受过治疗的姑息病例的系统生成轮廓与临床医生轮廓进行比较。20例无模拟姑息患者接受了CBCT引导的oART临床治疗。对oART临床治疗数据的分析包括:使用李克特量表评估系统生成的合成CT相对于每次治疗的CBCT解剖结构的几何精度,使用DVH指标比较自适应计划剂量分布与未调整计划剂量分布,并记录oART工作流程中关键步骤的持续时间。
自动生成的轮廓DSC高于0.85,但胃除外,这归因于CBCT图像质量问题。合成CT在约80%的分次中与CBCT解剖结构局部对齐,其余虽不理想但临床可接受。自适应计划的CTV V95%中位数为99.5%,而未调整计划为95.6%。发现oART总体过程持续时间中位数为13.2分钟,轮廓编辑是最耗时的自适应步骤。
发现采用无模拟计划方法的CBCT引导oART系统在临床应用中具有足够的准确性,这可能会进一步简化和改善对姑息患者的护理。