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Comparison of the progressive resolution optimizer and photon optimizer in VMAT optimization for stereotactic treatments

机译:渐进式分辨率优化器和光子优化器在立体定向治疗的VMAT优化中的比较

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The photon optimization (PO) algorithm was recently released by Varian Medical Systems to improve volumetric modulated arc therapy (VMAT) optimization within Eclipse (Version 13.5). The purpose of this study is to compare the PO algorithm with its predecessor, progressive resolution optimizer (PRO) for lung SBRT and brain SRS treatments. A total of 30 patients were selected retrospectively. Previously, all the plans were generated with the PRO algorithm within Eclipse Version 13.6. In the new version of PO algorithm (Version 15), dynamic conformal arcs (DCA) were first conformed to the target, then VMAT inverse planning was performed to achieve the desired dose distributions. PTV coverages were forced to be identical for the same patient for a fair comparison. SBRT plan quality was assessed based on selected dose–volume parameters, including the conformity index, V 20 for lung, V 30?Gy for chest wall, and D 0.035?cc for other critical organs. SRS plan quality was evaluated based on the conformity index and normal tissue volumes encompassed by the 12 and 6?Gy isodose lines ( V 12 and V 6). The modulation complexity score (MCS) was used to compare plan complexity of two algorithms. No statistically significant differences between the PRO and PO algorithms were found for any of the dosimetric parameters studied, which indicates both algorithms produce comparable plan quality. Significant improvements in the gamma passing rate (increased from 97.0% to 99.2% for SBRT and 96.1% to 98.4% for SRS), MCS (average increase of 0.15 for SBRT and 0.10 for SRS), and delivery efficiency (MU reduction of 29.8% for SBRT and 28.3% for SRS) were found for the PO algorithm. MCS showed a strong correlation with the gamma passing rate, and an inverse correlation with total MUs used. The PO algorithm offers comparable plan quality to the PRO, while minimizing MLC complexity, thereby improving the delivery efficiency and accuracy.
机译:Varian Medical Systems最近发布了光子优化(PO)算法,以改善Eclipse(版本13.5)中的体积调制电弧疗法(VMAT)优化。这项研究的目的是将PO算法与其先前的渐进式分辨率优化器(PRO)进行肺SBRT和脑SRS治疗的比较。回顾性选择了总共30例患者。以前,所有计划都是使用Eclipse版本13.6中的PRO算法生成的。在新版本的PO算法(版本15)中,首先使动态保形弧(DCA)符合目标,然后执行VMAT逆规划以实现所需的剂量分布。为了公平比较,同一名患者的PTV覆盖率被迫相同。 SBRT计划的质量是根据选定的剂量-体积参数进行评估的,其中包括合格指数,肺的V 20 ,胸壁的V 30?Gy 和D 0.035?cc 用于其他关键器官。 SRS计划质量是根据12和6?Gy等剂量线(V 12 和V 6 )所涵盖的合格指数和正常组织体积进行评估的。调制复杂度评分(MCS)用于比较两种算法的计划复杂度。对于所研究的任何剂量参数,在PRO和PO算法之间均未发现统计学上的显着差异,这表明这两种算法都能产生可比的计划质量。伽玛通过率(SBRT从97.0%提高到99.2%,SRS从96.1%提高到98.4%),MCS(SBRT平均提高0.15和SRS平均提高0.10)和交付效率(MU降低29.8%)有了显着提高对于PO算法,发现SBRT和SRS占28.3%)。 MCS与伽玛通过率显示出很强的相关性,与所使用的总MU呈反相关。 PO算法可提供与PRO相当的计划质量,同时将MLC的复杂性降至最低,从而提高了交付效率和准确性。

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