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评估自动在线剂量恢复在头颈部癌症自适应质子治疗中的临床价值。

Evaluation of the clinical value of automatic online dose restoration for adaptive proton therapy of head and neck cancer.

机构信息

Molecular Imaging, Radiotherapy and Oncology (MIRO), UCLouvain, Brussels, Brussels, Belgium.

Department of Radiation Oncology (MAASTRO), GROW - School for Oncology, Maastricht University Medical Centre+, Netherlands.

出版信息

Radiother Oncol. 2022 May;170:190-197. doi: 10.1016/j.radonc.2022.03.011. Epub 2022 Mar 25.

Abstract

INTRODUCTION

Intensity modulated proton therapy (IMPT) is highly sensitive to anatomical variations which can cause inadequate target coverage during treatment. This study compares not-adapted (NA) robust plans to two adaptive IMPT methods - a fully-offline adaptive (FOA) and a simplified automatic online adaptive strategy (dose restoration (DR)) to determine the benefit of DR, in head and neck cancer (HNC).

MATERIAL/METHODS: Robustly optimized clinical IMPT doses in planning-CTs (pCTs) were available for a cohort of 10 HNC patients. During robust re-optimization, DR used isodose contours, generated from the clinical dose on pCTs, and patient specific objectives to reproduce the clinical dose in every repeated-CT(rCT). For each rCT(n = 50), NA, DR and FOA plans were robustly evaluated.

RESULTS

An improvement in DVH-metrics and robustness was seen for DR and FOA plans compared to NA plans. For NA plans, 74%(37/50) of rCTs did not fulfill the CTV coverage criteria (D98%>95%Dprescription). DR improved target coverage, target homogeneity and variability on critical risk organs such as the spinal cord. After DR, 52%(26/50) of rCTs met all clinical goals. Because of large anatomical changes and/or inaccurate patient repositioning, 48%(24/50) of rCTs still needed full offline adaptation to ensure an optimal treatment since dose restoration was not able to re-establish the initial plan quality.

CONCLUSION

Robust optimization together with fully-automatized DR avoided offline adaptation in 52% of the cases. Implementation of dose restoration in clinical routine could ensure treatment plan optimality while saving valuable human and material resources to radiotherapy departments.

摘要

简介

强度调制质子治疗(IMPT)对解剖结构的变化非常敏感,这些变化可能导致治疗过程中靶区覆盖不足。本研究比较了非自适应(NA)稳健计划和两种自适应 IMPT 方法——完全离线自适应(FOA)和简化自动在线自适应策略(剂量恢复(DR)),以确定 DR 在头颈部癌症(HNC)中的获益。

材料/方法:为 10 例 HNC 患者提供了稳健优化的计划 CT(pCT)临床 IMPT 剂量。在稳健重新优化过程中,DR 使用从 pCT 上的临床剂量生成的等剂量轮廓,并使用患者特定的目标在每个重复 CT(rCT)中重现临床剂量。对于每个 rCT(n=50),进行了 NA、DR 和 FOA 计划的稳健评估。

结果

与 NA 计划相比,DR 和 FOA 计划在剂量体积直方图(DVH)指标和稳健性方面有所改善。对于 NA 计划,74%(37/50)的 rCT 未能满足CTV 覆盖标准(D98%>95%Dprescription)。DR 改善了靶区覆盖、靶区均匀性和关键风险器官(如脊髓)的变异性。经过 DR 后,52%(26/50)的 rCT 满足了所有临床目标。由于解剖结构的大变化和/或患者定位不准确,48%(24/50)的 rCT 仍需要完全离线自适应,以确保治疗计划的最佳化,因为剂量恢复无法重新建立初始计划质量。

结论

稳健优化加上全自动的 DR 在 52%的情况下避免了离线自适应。在临床常规中实施剂量恢复可以确保治疗计划的最佳化,同时为放射治疗部门节省宝贵的人力和物力资源。

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