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使用 3D 聚合物凝胶剂量学进行晶格放射治疗和剂量验证的半自动顶点放置。

Semi-automated vertex placement for lattice radiotherapy and dosimetric verification using 3D polymer gel dosimetry.

机构信息

Department of Computer Science, Mathematics, Physics and Statistics, The University of British Columbia Okanagan, Kelowna, British Columbia, Canada.

BC Cancer, Kelowna, British Columbia, Canada.

出版信息

J Appl Clin Med Phys. 2024 Nov;25(11):e14489. doi: 10.1002/acm2.14489. Epub 2024 Aug 26.

DOI:10.1002/acm2.14489
PMID:39186819
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11540016/
Abstract

PURPOSE

To evaluate the feasibility of an open-source, semi-automated, and reproducible vertex placement tool to improve the efficiency of lattice radiotherapy (LRT) planning. We used polymer gel dosimetry with a Cone Beam CT (CBCT) readout to commission this LRT technique.

MATERIAL AND METHODS

We generated a volumetric modulated arc therapy (VMAT)-based LRT plan on a 2 L NIPAM polymer gel dosimeter using our Eclipse Acuros version 15.6 AcurosXB beam model, and also recalculated the plan with a pre-clinical Acuros v18.0 dose calculation algorithm with the enhanced leaf modelling (ELM). With the assistance of the MAAS-SFRThelper software, a lattice vertex diameter of 1.5 cm and center-to-center spacing of 3 cm were used to place the spheres in a hexagonal, closed packed structure. The verification plan included four gantry arcs with 15°, 345°, 75°, 105° collimator angles. The spheres were prescribed 20 Gy to 50% of their combined volume. The 6 MV Flattening Filter Free beam energy was used to deliver the verification plan. The dosimetric accuracy of the LRT delivery was evaluated with 1D dose profiles, 2D isodose maps, and a 3D global gamma analysis.

RESULTS

Qualitative comparisons between the 1D dose profiles of the Eclipse plan and measured gel showed good consistency at the prescription dose mark. The average diameter measured 13.3 ± 0.2 mm (gel for v15.6), 12.6 mm (v15.6 plan), 13.1 ± 0.2 mm (gel for v18.0), and 12.3 mm (v18.0 plan). 3D gamma analysis showed that all gamma pass percent were > 95% except at 1% and 2% at the 1 mm distance to agreement criteria.

CONCLUSION

This study presents a novel application of gel dosimetry in verifying the dosimetric accuracy of LRT, achieving excellent 3D gamma results. The treatment planning was facilitated by publicly available software that automatically placed the vertices for consistency and efficiency.

摘要

目的

评估一种开源、半自动且可重现的顶点放置工具在改善晶格放射治疗 (LRT) 计划效率方面的可行性。我们使用带有 Cone Beam CT (CBCT) 读出的聚合物凝胶剂量计来验证这种 LRT 技术。

材料与方法

我们在 2L NIPAM 聚合物凝胶剂量计上使用基于容积调强弧形治疗 (VMAT) 的 LRT 计划,使用 Eclipse Acuros 版本 15.6 AcurosXB 射束模型进行计算,并使用具有增强叶片建模 (ELM) 的临床前 Acuros v18.0 剂量计算算法重新计算该计划。在 MAAS-SFRThelper 软件的帮助下,使用直径为 1.5cm、中心间距为 3cm 的晶格顶点,以六方、密堆积结构放置球体。验证计划包括四个带有 15°、345°、75°、105°准直器角度的龙门架弧。球体的处方剂量为 20Gy 至其总容积的 50%。使用 6MV 无均整滤波器束能量输送验证计划。使用一维剂量曲线、二维等剂量图和三维全局伽马分析评估 LRT 输送的剂量学准确性。

结果

Eclipse 计划的一维剂量曲线与测量凝胶的定性比较在处方剂量标记处显示出很好的一致性。在测量凝胶中测量的平均直径为 13.3±0.2mm(v15.6 凝胶)、12.6mm(v15.6 计划)、13.1±0.2mm(v18.0 凝胶)和 12.3mm(v18.0 计划)。三维伽马分析显示,除了在距离协议 1%和 2%的 1mm 处,所有伽马通过率均大于 95%。

结论

本研究提出了一种凝胶剂量计在验证 LRT 剂量学准确性方面的新应用,实现了出色的三维伽马结果。通过使用自动放置顶点以确保一致性和效率的公开可用软件,简化了治疗计划。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8aa8/11540016/1dfcf303fba3/ACM2-25-e14489-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8aa8/11540016/27661c60d1d9/ACM2-25-e14489-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8aa8/11540016/5d810b1bc4d0/ACM2-25-e14489-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8aa8/11540016/b4bdfb968700/ACM2-25-e14489-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8aa8/11540016/0e1cbbaf3d71/ACM2-25-e14489-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8aa8/11540016/c2fb9dad3d1b/ACM2-25-e14489-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8aa8/11540016/96e9c90b6f28/ACM2-25-e14489-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8aa8/11540016/138978a9a4d2/ACM2-25-e14489-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8aa8/11540016/57e2096260a4/ACM2-25-e14489-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8aa8/11540016/1dfcf303fba3/ACM2-25-e14489-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8aa8/11540016/27661c60d1d9/ACM2-25-e14489-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8aa8/11540016/5d810b1bc4d0/ACM2-25-e14489-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8aa8/11540016/b4bdfb968700/ACM2-25-e14489-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8aa8/11540016/0e1cbbaf3d71/ACM2-25-e14489-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8aa8/11540016/c2fb9dad3d1b/ACM2-25-e14489-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8aa8/11540016/96e9c90b6f28/ACM2-25-e14489-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8aa8/11540016/138978a9a4d2/ACM2-25-e14489-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8aa8/11540016/57e2096260a4/ACM2-25-e14489-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8aa8/11540016/1dfcf303fba3/ACM2-25-e14489-g007.jpg

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