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使用 AAA 和 PBC 算法在剂量堆积区域验证 IMRT 剂量计算。

Verification of IMRT dose calculations using AAA and PBC algorithms in dose buildup regions.

机构信息

Department of Radiotherapy, Post Graduate Institute of Medical Education and Research, Chandigarh-160012, India.

出版信息

J Appl Clin Med Phys. 2010 Aug 26;11(4):3351. doi: 10.1120/jacmp.v11i4.3351.

Abstract

The purpose of this comparative study was to test the accuracy of anisotropic analytical algorithm (AAA) and pencil beam convolution (PBC) algorithms of Eclipse treatment planning system (TPS) for dose calculations in the low- and high-dose buildup regions. AAA and PBC algorithms were used to create two intensity-modulated radiotherapy (IMRT) plans of the same optimal fluence generated from a clinically simulated oropharynx case in an in-house fabricated head and neck phantom. The TPS computed buildup doses were compared with the corresponding measured doses in the phantom using thermoluminescence dosimeters (TLD 100). Analysis of dose distribution calculated using PBC and AAA shows an increase in gamma value in the dose buildup region indicating large dose deviation. For the surface areas of 1, 50 and 100 cm2, PBC overestimates doses as compared to AAA calculated value in the range of 1.34%-3.62% at 0.6 cm depth, 1.74%-2.96% at 0.4 cm depth, and 1.96%-4.06% at 0.2 cm depth, respectively. In high-dose buildup region, AAA calculated doses were lower by an average of -7.56% (SD = 4.73%), while PBC was overestimated by 3.75% (SD = 5.70%) as compared to TLD measured doses at 0.2 cm depth. However, at 0.4 and 0.6 cm depth, PBC overestimated TLD measured doses by 5.84% (SD = 4.38%) and 2.40% (SD = 4.63%), respectively, while AAA underestimated the TLD measured doses by -0.82% (SD = 4.24%) and -1.10% (SD = 4.14%) at the same respective depth. In low-dose buildup region, both AAA and PBC overestimated the TLD measured doses at all depths except -2.05% (SD = 10.21%) by AAA at 0.2 cm depth. The differences between AAA and PBC at all depths were statistically significant (p < 0.05) in high-dose buildup region, whereas it is not statistically significant in low-dose buildup region. In conclusion, AAA calculated the dose more accurately than PBC in clinically important high-dose buildup region at 0.4 cm and 0.6 cm depths. The use of an orfit cast increases the dose buildup effect, and this buildup effect decreases with depth.

摘要

本对比研究的目的是测试 Eclipse 治疗计划系统(TPS)中的各向异性分析算法(AAA)和铅笔束卷积(PBC)算法在低剂量和高剂量堆积区域的剂量计算中的准确性。使用来自临床模拟的口咽病例的内部制作的头颈部体模,AAA 和 PBC 算法分别创建了相同最优通量的两个强度调制放射治疗(IMRT)计划。使用热释光剂量计(TLD 100)将 TPS 计算的堆积剂量与体模中的相应测量剂量进行比较。使用 PBC 和 AAA 分析剂量分布表明,在剂量堆积区域的伽马值增加,表明剂量偏差较大。对于表面积为 1、50 和 100 cm2 的区域,在 0.6 cm 深度处,PBC 比 AAA 计算值高估剂量,范围为 1.34%-3.62%,在 0.4 cm 深度处,高估范围为 1.74%-2.96%,在 0.2 cm 深度处,高估范围为 1.96%-4.06%。在高剂量堆积区域,AAA 计算的剂量平均低 7.56%(SD = 4.73%),而 PBC 高估了 3.75%(SD = 5.70%)与 0.2 cm 深度处的 TLD 测量剂量相比。然而,在 0.4 和 0.6 cm 深度处,PBC 分别高估了 TLD 测量剂量 5.84%(SD = 4.38%)和 2.40%(SD = 4.63%),而 AAA 分别低估了 TLD 测量剂量-0.82%(SD = 4.24%)和-1.10%(SD = 4.14%)。在低剂量堆积区域,AAA 和 PBC 在所有深度处均高估了 TLD 测量的剂量,除了在 0.2 cm 深度处 AAA 低估了-2.05%(SD = 10.21%)。在高剂量堆积区域,AAA 和 PBC 在所有深度处的差异均具有统计学意义(p < 0.05),而在低剂量堆积区域则没有统计学意义。总之,AAA 在临床重要的 0.4 cm 和 0.6 cm 深度的高剂量堆积区域比 PBC 更准确地计算剂量。使用 orfit 铸型会增加剂量堆积效应,并且这种堆积效应随深度而降低。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6484/5720424/e0b7d2b02245/ACM2-11-105-g001.jpg

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