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基于CT的腹部自适应放射治疗的经验与不确定性分析

Experience and uncertainty analysis of CT-based adaptive radiotherapy for abdominal treatments.

作者信息

Panetta J V, Eldib A, Meyer J E, Galloway T J, Horwitz E M, Ma C M C

机构信息

Radiation Oncology, Fox Chase Cancer Center, Philadelphia, PA, USA.

Radiation Oncology, Fox Chase Cancer Center, Philadelphia, PA, USA.

出版信息

Phys Med. 2025 Mar;131:104946. doi: 10.1016/j.ejmp.2025.104946. Epub 2025 Feb 27.

Abstract

BACKGROUND

Online adaptive radiotherapy (ART) allows for daily replanning of treatment plans with adjustments according to current day anatomy. The purpose of this work is to present our methodology for using CT-based ART applied to abdominal cases along with our experience with this treatment. We additionally aim to estimate some of the uncertainties associated with the adaptive process.

METHODS AND MATERIALS

Analysis was performed on patients with abdominal targets (N = 41, 205 fractions), treated on a CT-based adaptive treatment unit; treatment sites were divided into 3 categories: pancreas, liver, and other (e.g., lymph nodes). Statistics regarding contouring time, planning target volume (PTV) coverage, and organ-at-risk (OAR) sparing are presented. Contouring uncertainty was estimated by expanding critical OARs and recalculating dose, and auto-registration uncertainty was estimated by adjusting the registration between the cone beam computed tomography scan and the dose cloud and recalculating dose.

RESULTS

Coverage for the planning optimization PTV (PTV_Opt) for adaptive plans was on average 94.7 ± 0.4 %, while for scheduled plans it was on average 92.0 ± 0.6 %. The average decrease in OAR maximum dose by using the adaptive plans was 11.6 ± 1.0 %. Contouring time was on average 23 ± 0 min. Uncertainty estimates for PTV V100% were on average 0.6 ± 0.4 %; combined uncertainties for maximum OAR dose were on average 4.6 ± 0.4 %.

CONCLUSION

Adaptive therapy on average led to plans with improved PTV coverage or OAR sparing, and our workflow allowed for treatment to be completed within a reasonable timeframe. The benefit of adaptive therapy largely outweighed estimates of uncertainty.

摘要

背景

在线自适应放疗(ART)允许根据当日解剖结构对治疗计划进行每日重新规划。本研究的目的是介绍我们将基于CT的ART应用于腹部病例的方法以及我们在这种治疗方法上的经验。我们还旨在估计与自适应过程相关的一些不确定性。

方法与材料

对在基于CT的自适应治疗单元上接受治疗的腹部靶区患者(N = 41,共205个分次)进行分析;治疗部位分为3类:胰腺、肝脏和其他(如淋巴结)。给出了关于轮廓勾画时间、计划靶体积(PTV)覆盖情况以及危及器官(OAR)保护的统计数据。通过扩展关键OAR并重新计算剂量来估计轮廓勾画不确定性,通过调整锥束计算机断层扫描与剂量云之间的配准并重新计算剂量来估计自动配准不确定性。

结果

自适应计划的计划优化PTV(PTV_Opt)的平均覆盖度为94.7 ± 0.4%,而计划计划的平均覆盖度为92.0 ± 0.6%。使用自适应计划时,OAR最大剂量的平均降低幅度为11.6 ± 1.0%。轮廓勾画时间平均为23 ± 0分钟。PTV V100%的不确定性估计平均为0.6 ± 0.4%;最大OAR剂量的综合不确定性平均为4.6 ± 0.4%。

结论

平均而言,自适应治疗导致计划的PTV覆盖度提高或OAR得到更好保护,并且我们的工作流程使治疗能够在合理的时间范围内完成。自适应治疗的益处大大超过了不确定性估计。

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