Erasmus MC Cancer Institute, University Medical Center Rotterdam, Department of Radiotherapy, Rotterdam, Netherlands; HollandPTC, Delft, Netherlands.
Erasmus MC Cancer Institute, University Medical Center Rotterdam, Department of Radiotherapy, Rotterdam, Netherlands.
Radiother Oncol. 2024 Dec;201:110548. doi: 10.1016/j.radonc.2024.110548. Epub 2024 Sep 28.
In head-and-neck IMPT, trigger-based offline plan adaptation (Offline) is often used. Our goal was to compare this to four alternative adaptive strategies for dosimetry, workload and treatment time, considering also foreseen further technological advancements, including anticipated automation.
Alternative strategies included weekly offline re-planning (Offline), daily plan selection from a library (Library and Library) and a fast, approximate daily online re-optimization approach (Online). Impact on CTV coverage and NTCPs was assessed by simulations based on repeat-CTs from 15 patients. Full daily re-planning was used as dosimetric benchmark. Increases in workload and treatment time were estimated.
Both for coverage and NTCPs, fast Online performed as well as full re-planning. Compared to current practice, Online showed enhanced probabilities for high coverage, and resulted in reductions in grade ≥ II NTCPs of 4.6 ± 1.7 %-point for xerostomia and 4.2 ± 2.3 %-point for dysphagia. Offline and library strategies did not show coverage enhancements and resulted in smaller NTCP improvements. Further automation can largely limit workload and treatment time increases. With anticipated further automation, adaptation-related workload of Offline, Library, Library, and Online was expected to increase by 3, 8, 21, and 66 h for 35 fraction treatment courses compared to Offline. The corresponding adaptation-related prolonged treatment times were estimated to be 0, 4, 6, and 29 min/fraction.
Online adaptive strategies could approach dosimetric quality of full re-planning at the cost of additional workload and prolonged treatment time compared to the current offline adaptive strategy. Automation needs to play a key role in making more complex adaptive approaches feasible.
在头颈部适形调强放疗(IMPT)中,通常采用基于触发的离线计划自适应(Offline)。我们的目标是比较这种方法与其他四种用于剂量学、工作量和治疗时间的自适应策略,同时考虑到预期的进一步技术进步,包括预期的自动化。
替代策略包括每周离线重新计划(Offline)、从库中选择每日计划(Library 和 Library)以及快速、近似的每日在线重新优化方法(Online)。通过基于 15 名患者重复 CT 的模拟来评估对 CTV 覆盖和 NTCP 的影响。全日常规重新计划被用作剂量基准。估计了工作量和治疗时间的增加。
对于覆盖和 NTCP,快速 Online 与全重计划一样有效。与当前实践相比,Online 显示出提高高覆盖率的可能性,并导致口干的 NTCP 等级降低 4.6±1.7 个百分点,吞咽困难的 NTCP 等级降低 4.2±2.3 个百分点。Offline 和 Library 策略没有显示出覆盖范围的增强,导致 NTCP 改善较小。进一步的自动化可以在很大程度上限制工作量和治疗时间的增加。预计随着进一步的自动化,与 Offline、Library、Library 和 Online 相关的工作量将分别增加 3、8、21 和 66 小时,与 Offline 相比,用于 35 个分次治疗课程。相应的适应相关延长的治疗时间估计为 0、4、6 和 29 分钟/分次。
与当前的离线自适应策略相比,Online 自适应策略可以在增加工作量和延长治疗时间的情况下,接近全重计划的剂量学质量。自动化需要在实现更复杂的自适应方法方面发挥关键作用。