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模拟分次内自适应工作流程,以在前列腺立体定向体部放疗的磁共振引导容积调强弧形治疗中减少计划靶区(PTV)边界。

Simulating an intra-fraction adaptive workflow to enable PTV margin reduction in MRIgART volumetric modulated arc therapy for prostate SBRT.

作者信息

Snyder Jeffrey, Smith Blake, Aubin Joel St, Shepard Andrew, Hyer Daniel

机构信息

Department of Radiation Oncology, University of Iowa Hospitals and Clinics, Iowa City, IA, United States.

出版信息

Front Oncol. 2024 Jan 8;13:1325105. doi: 10.3389/fonc.2023.1325105. eCollection 2023.

DOI:10.3389/fonc.2023.1325105
PMID:38260830
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10800949/
Abstract

PURPOSE

This study simulates a novel prostate SBRT intra-fraction re-optimization workflow in MRIgART to account for prostate intra-fraction motion and evaluates the dosimetric benefit of reducing PTV margins.

MATERIALS AND METHODS

VMAT prostate SBRT treatment plans were created for 10 patients using two different PTV margins, one with a 5 mm margin except 3 mm posteriorly (standard) and another using uniform 2 mm margins (reduced). All plans were prescribed to 36.25 Gy in 5 fractions and adapted onto each daily MRI dataset. An intra-fraction adaptive workflow was simulated for the reduced margin group by synchronizing the radiation delivery with target position from cine MRI imaging. Intra-fraction delivered dose was reconstructed and prostate DVH metrics were evaluated under three conditions for the reduced margin plans: Without motion compensation (no-adapt), with a single adapt prior to treatment (ATP), and lastly for intra-fraction re-optimization during delivery (intra). Bladder and rectum DVH metrics were compared between the standard and reduced margin plans.

RESULTS

As expected, rectum V18 Gy was reduced by 4.4 ± 3.9%, D1cc was reduced by 12.2 ± 6.8% (3.4 ± 2.3 Gy), while bladder reductions were 7.8 ± 5.6% for V18 Gy, and 9.6 ± 7.3% (3.4 ± 2.5 Gy) for D1cc for the reduced margin reference plans compared to the standard PTV margin. For the intrafraction replanning approach, average intra-fraction optimization times were 40.0 ± 2.9 seconds, less than the time to deliver one of the four VMAT arcs (104.4 ± 9.3 seconds) used for treatment delivery. When accounting for intra-fraction motion, prostate V36.25 Gy was on average 96.5 ± 4.0%, 99.1 ± 1.3%, and 99.6 ± 0.4 for the non-adapt, ATP, and intra-adapt groups, respectively. The minimum dose received by the prostate was less than 95% of the prescription dose in 84%, 36%, and 10% of fractions, for the non-adapt, ATP, and intra-adapt groups, respectively.

CONCLUSIONS

Intra-fraction re-optimization improves prostate coverage, specifically the minimum dose to the prostate, and enables PTV margin reduction and subsequent OAR sparing. Fast re-optimizations enable uninterrupted treatment delivery.

摘要

目的

本研究在MRI引导的自适应放疗(MRIgART)中模拟一种新型前列腺立体定向体部放疗(SBRT)分次内重新优化工作流程,以考虑前列腺分次内运动,并评估减少计划靶体积(PTV)边界的剂量学益处。

材料与方法

为10例患者制定容积调强放疗(VMAT)前列腺SBRT治疗计划,使用两种不同的PTV边界,一种除后方为3 mm边界外其余为5 mm边界(标准边界),另一种使用统一的2 mm边界(缩小边界)。所有计划均规定分5次给予36.25 Gy,并适配到每个每日MRI数据集上。通过将放疗与电影MRI成像的靶区位置同步,为缩小边界组模拟了一种分次内自适应工作流程。重建分次内给予的剂量,并在三种情况下评估缩小边界计划的前列腺剂量体积直方图(DVH)指标:无运动补偿(无自适应)、治疗前单次自适应(ATP)以及最后在放疗期间进行分次内重新优化(分次内)。比较标准边界和缩小边界计划之间的膀胱和直肠DVH指标。

结果

正如预期的那样,与标准PTV边界相比,缩小边界参考计划的直肠V18 Gy降低了4.4±3.9%,D1cc降低了12.2±6.8%(3.4±2.3 Gy),而膀胱的V18 Gy降低了7.8±5.6%,D1cc降低了9.6±7.3%(3.4±2.5 Gy)。对于分次内重新计划方法,平均分次内优化时间为40.0±2.9秒,少于用于治疗的四个VMAT弧之一的照射时间(104.4±9.3秒)。考虑分次内运动时,非自适应、ATP和分次内自适应组的前列腺V36.25 Gy平均分别为96.5±4.0%、99.1±1.3%和99.6±0.4%。非自适应、ATP和分次内自适应组分别有84%、36%和10%的分次中前列腺接受的最小剂量低于处方剂量的95%。

结论

分次内重新优化可改善前列腺的覆盖范围,特别是前列腺的最小剂量,并能够减少PTV边界,进而减少危及器官(OAR)受量。快速重新优化可实现不间断的治疗。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6350/10800949/9bf1636985bf/fonc-13-1325105-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6350/10800949/2727c6ed3ead/fonc-13-1325105-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6350/10800949/9beb4c37656f/fonc-13-1325105-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6350/10800949/6d2953cd37d4/fonc-13-1325105-g003.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6350/10800949/36c248d85033/fonc-13-1325105-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6350/10800949/94f0311fc36e/fonc-13-1325105-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6350/10800949/9bf1636985bf/fonc-13-1325105-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6350/10800949/2727c6ed3ead/fonc-13-1325105-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6350/10800949/9beb4c37656f/fonc-13-1325105-g002.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6350/10800949/16f59b1cbcbb/fonc-13-1325105-g004.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6350/10800949/94f0311fc36e/fonc-13-1325105-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6350/10800949/9bf1636985bf/fonc-13-1325105-g007.jpg

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