Sten Lisette Juul, Giannoulis Evangelos, Rechner Laura Ann, Åström Lina, Nielsen Anna Mann, Edmund Jens Morgenthaler, Fredberg Persson Gitte
Department of Oncology, Copenhagen University Hospital - Herlev and Gentofte, Herlev, Denmark.
Department of Oncology, Copenhagen University Hospital - Herlev and Gentofte, Herlev, Denmark; Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark.
Acta Oncol. 2025 Aug 25;64:1095-1101. doi: 10.2340/1651-226X.2025.44040.
A simulation-free approach, using the patient's diagnostic computed tomography (CT) for treatment planning, eliminates the need for a separate planning CT. Combined with conebeam computed tomography (CBCT)-guided online adaptive radiotherapy (oART), this strategy has the potential to create a more efficient treatment workflow and reduce the burden for the patients. The study aimed to evaluate the feasibility and time consumption of different simulation-free oART workflows for patients with metastatic spinal cord compression (MSCC) to identify the most suitable option for clinical implementation. Patient/material and methods: Diagnostic CT scans from patients diagnosed with MSCC were used for treatment planning, while CBCT scans from their first treatment session were retrospectively used to emulate the treatments. Four adaptive workflows were defined and assessed: Deformable Supervised (DefSup), Deformable Unsupervised (DefUn), Rigid Supervised (RigSup), and Rigid Unsupervised (RigUn). The supervised workflows involved manual corrections to the target structures, whereas the unsupervised workflows did not include any manual adjustments. Time stamps, segmentation quality, and dose plans were used to evaluate the feasibility of each workflow.
A total of 120 simulation-free emulations were performed (based on 27 patients with 30 target sites). The DefSup workflow yielded the highest accuracy in both segmentation and dose distribution. Additionally, with a median time consumption of 6.57 min, this workflow demonstrates a level of reliability and quality suitable for clinical application.
The DefSup workflow was found to be the most optimal and safe for clinical implementation, as demonstrated by the successful treatment of the first patient with MSCC using this approach.
一种无需模拟的方法,即使用患者的诊断性计算机断层扫描(CT)进行治疗计划,无需单独的计划CT。结合锥形束计算机断层扫描(CBCT)引导的在线自适应放疗(oART),该策略有可能创建更高效的治疗工作流程并减轻患者负担。本研究旨在评估转移性脊髓压迫(MSCC)患者不同无模拟oART工作流程的可行性和时间消耗,以确定临床实施的最合适方案。患者/材料与方法:将诊断为MSCC的患者的诊断性CT扫描用于治疗计划,同时回顾性地使用其第一次治疗 session 的CBCT扫描来模拟治疗。定义并评估了四种自适应工作流程:可变形监督(DefSup)、可变形无监督(DefUn)、刚性监督(RigSup)和刚性无监督(RigUn)。监督工作流程涉及对靶区结构进行手动校正,而无监督工作流程不包括任何手动调整。使用时间戳、分割质量和剂量计划来评估每个工作流程的可行性。
共进行了120次无模拟模拟(基于27例患者的30个靶区)。DefSup工作流程在分割和剂量分布方面均产生了最高的准确性。此外,该工作流程的中位时间消耗为6.57分钟,证明了其适用于临床应用的可靠性和质量水平。
正如首例使用该方法成功治疗的MSCC患者所证明的那样,DefSup工作流程被发现是临床实施中最优化且安全的。