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使用未编辑的基于CT的DIR传播自动轮廓对胰腺癌SBRT在线ART的影响。

Impact of Using Unedited CT-Based DIR-Propagated Autocontours on Online ART for Pancreatic SBRT.

作者信息

Magallon-Baro Alba, Milder Maaike T W, Granton Patrick V, den Toom Wilhelm, Nuyttens Joost J, Hoogeman Mischa S

机构信息

Department of Radiotherapy, Erasmus MC Cancer Institute, University Medical Center Rotterdam, Rotterdam, Netherlands.

出版信息

Front Oncol. 2022 Jun 8;12:910792. doi: 10.3389/fonc.2022.910792. eCollection 2022.

Abstract

PURPOSE

To determine the dosimetric impact of using unedited autocontours in daily plan adaptation of patients with locally advanced pancreatic cancer (LAPC) treated with stereotactic body radiotherapy using tumor tracking.

MATERIALS AND METHODS

The study included 98 daily CT scans of 35 LAPC patients. All scans were manually contoured (MAN), and included the PTV and main organs-at-risk (OAR): stomach, duodenum and bowel. Precision and MIM deformable image registration (DIR) methods followed by contour propagation were used to generate autocontour sets on the daily CT scans. Autocontours remained unedited, and were compared to MAN on the whole organs and at 3, 1 and 0.5 cm from the PTV. Manual and autocontoured OAR were used to generate daily plans using the VOLO™ optimizer, and were compared to non-adapted plans. Resulting planned doses were compared based on PTV coverage and OAR dose-constraints.

RESULTS

Overall, both algorithms reported a high agreement between unclipped MAN and autocontours, but showed worse results when being evaluated on the clipped structures at 1 cm and 0.5 cm from the PTV. Replanning with unedited autocontours resulted in better OAR sparing than non-adapted plans for 95% and 84% plans optimized using Precision and MIM autocontours, respectively, and obeyed OAR constraints in 64% and 56% of replans.

CONCLUSION

For the majority of fractions, manual correction of autocontours could be avoided or be limited to the region closest to the PTV. This practice could further reduce the overall timings of adaptive radiotherapy workflows for patients with LAPC.

摘要

目的

确定在使用肿瘤追踪立体定向体部放疗治疗局部晚期胰腺癌(LAPC)患者的每日计划调整中使用未编辑自动轮廓的剂量学影响。

材料与方法

该研究纳入了35例LAPC患者的98次每日CT扫描。所有扫描均进行手动轮廓勾画(MAN),包括计划靶区(PTV)和主要危及器官(OAR):胃、十二指肠和肠。采用精度和MIM可变形图像配准(DIR)方法,随后进行轮廓传播,以在每日CT扫描上生成自动轮廓集。自动轮廓保持未编辑状态,并在整个器官以及距PTV 3 cm、1 cm和0.5 cm处与MAN轮廓进行比较。使用VOLO™优化器,将手动轮廓和自动轮廓的OAR用于生成每日计划,并与未调整计划进行比较。根据PTV覆盖情况和OAR剂量限制比较所得的计划剂量。

结果

总体而言,两种算法均报告未裁剪的MAN轮廓和自动轮廓之间具有高度一致性,但在距PTV 1 cm和0.5 cm处的裁剪结构上进行评估时,结果较差。分别使用精度和MIM自动轮廓优化的95%和84%的计划,使用未编辑自动轮廓重新计划比未调整计划能更好地保护OAR,并且在64%和56%的重新计划中遵守了OAR限制。

结论

对于大多数分次,自动轮廓的手动校正可以避免或仅限于最接近PTV的区域。这种做法可以进一步减少LAPC患者自适应放疗工作流程的总体时间。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/da96/9213731/fd6a1ec87f85/fonc-12-910792-g001.jpg

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