Clinical implications of Eclipse analytical anisotropic algorithm and Acuros XB algorithm for the treatment of lung cancer

Krishna, Gangarapu Sri; Vuppu, Srinivas; Reddy, Palreddy Yadagiri

doi:10.4103/0971-6203.195185

Cited by 8 publications

(9 citation statements)

References 23 publications

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“…Our results fit well into the literature surrounding the use of advanced dose calculation compared to convolution‐type algorithms, as shown in Table 8. The relative differences between AAA and AXB found in this study were comparable to other reported values from the literature 10,12,13,22,26 . The averages in the table are weighted based on the number of patients from that study.…”

Section: Discussionsupporting

confidence: 88%

“…This fits very well with the results shown in Figure 1. Krishna et al 26 . found a statistical significance in D95% and D max values when comparing AAA to AXB for IMRT cases.…”

Section: Discussionmentioning

confidence: 95%

“…The relative differences between AAA and AXB found in this study were comparable to other reported values from the literature. 10 , 12 , 13 , 22 , 26 The averages in the table are weighted based on the number of patients from that study. Each of the studies used 6MV treatment beams, but implemented various beam configurations.…”

Section: Discussionmentioning

confidence: 99%

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New dosimetric guidelines for linear Boltzmann transport equations through comparative evaluation of stereotactic body radiation therapy for lung treatment planning

Webster

Tanny

Joyce

et al. 2021

J Applied Clin Med Phys

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Purpose To propose guidelines for lung stereotactic body radiation therapy (SBRT) when using Acuros XB (AXB) equivalent to the existing ones developed for convolution algorithms such as analytic anisotropic algorithm (AAA), considering the difference between the algorithms. Methods A retrospective analysis was performed on 30 lung patients previously treated with SBRT. The original AAA plans, which were developed using dynamic conformal arcs, were recalculated and then renormalized for planning target volume (PTV) coverage using AXB. The recalculated and renormalized plans were compared to the original plans based on V100% and V90% PTV coverage, as well as V105%, conformality index, D2cm, Rx/Dmax, R50, and Dmin. These metrics were analyzed nominally and on variations according to RTOG and NRG guidelines. Based on the relative difference between each metric in the AAA and AXB plans, new guidelines were developed. The relative differences in our cohort were compared to previously documented AAA to AXB comparisons found in the literature. Results AAA plans recalculated in AXB had a significant reduction in most dosimetric metrics. The most notable changes were in V100% (4%) and the conformality index (7.5%). To achieve equal PTV coverage, AXB required an average of 1.8% more monitor units (MU). This fits well with previously published data. Applying the new guidelines to the AXB plans significantly increased the number of minor violations with no change in major violations, making them comparable to those of the original AAA plans. Conclusion The relative difference found between AAA and AXB for SBRT lung plans has been shown to be consistent with previous works. Based on these findings, new guidelines for lung SBRT are recommended when planning with AXB.

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Section: Discussionsupporting

confidence: 88%

“…This fits very well with the results shown in Figure 1. Krishna et al 26 . found a statistical significance in D95% and D max values when comparing AAA to AXB for IMRT cases.…”

Section: Discussionmentioning

confidence: 95%

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New dosimetric guidelines for linear Boltzmann transport equations through comparative evaluation of stereotactic body radiation therapy for lung treatment planning

Webster

Tanny

Joyce

et al. 2021

J Applied Clin Med Phys

View full text Add to dashboard Cite

show abstract

“…The most commonly employed dose algorithms in TPS are the Acuros XB (AXB), analytical anisotropic algorithm (AAA), CCC, PB, and MC. The CCC and PB algorithms were usually used in early TPS, while the calculation results of the AXB and AAA algorithms were largely consistent with the MC simulation results in uniform media, while the difference between the MC simulation and AAA algorithm was more signi cant than that for the AXB algorithm in heterogeneous media [10] . Similarly, another study [11] compared and analyzed the dose-calculation accuracy of the AAA and AXB algorithms in lung SBRT planning, and found a larger systematic dose error with the AAA compared with the AXB algorithm.…”

Section: Discussionsupporting

confidence: 57%

Impact of Dose Algorithm and Calculation Angle Interval on in Vivo Dose Verification of Stereotactic Body Radiation Therapy: A Phantom Study

Zhang

Luo

et al. 2021

Preprint

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ObjectiveTo investigate the impact of different dose algorithms and calculation angle intervals (DCAI) on the in vivo dose (IVD) verification of small-field arc therapy in stereotactic body radiation therapy (SBRT).MethodsWe made an exit-dose-measuring and positioning device (EDPD) for the SRS MapCHECK (SMC) using polymethyl methacrylate (PMMA). Computed tomography data for the anthropomorphic head phantom, SMC, and EDPD combination were acquired with 1 mm slice thickness and spacing. SBRT partial arc plans were created using an SBRT cone, block, and a small square open field, with a gantry rotation angle of 60°. The dose distribution was calculated using three different dose algorithms [Pencil Beam (PB), CC Convolution (CCC), and Monte Carlo (MC)], with 1 mm isotropic resolution. We also used three different DCAIs (1°, 3°, 5°) with the PB and CCC algorithms to calculate the dose distribution of each plan three times. The uncertainty of each control point for the MC algorithm was set to 1%. The SMC was used to measure the exit dose outside the phantom for IVD verification, the detector plane was located 182.5 mm outside the scan center.ResultsWithin the phantom, the minimum passing rate of 3D gamma analysis (1%/1 mm) for the dose distributions calculated at different DCAIs was 99.1%, and the maximum relative deviation (RD) of the central point dose (CPD) was <0.2%. The average RD of the CPD for IVD verification was about 30% (range 16.71%–50.0%) for PB; -0.36% ± 1.82% (1° DCAI), -3.18% ± 7.83% (3° DCAI), and 3.69% ± 11.56% (1° DCAI) for CCC; and -0.38% ± 0.76 for the MC algorithm. The passing rates of 2D gamma analysis (3%/3 mm) between the predicted exit dose and the IVD were 100% for MC and >90% for the CCC algorithm at 1° DCAI.ConclusionThe DCAI for exit-dose calculations should be ≤1° using the CCC algorithm. Furthermore, among the three algorithms verified in the current study, the MC algorithm showed the highest accuracy, followed by CCC, with the PB algorithm having the worst performance. The PB algorithm is thus not suitable for exit-dose calculation or IVD verification of SBRT.

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“…41 of Journal of Medical Physics,[1] the fifth and sixth sentences under the section “Introduction” are written incorrectly as ’Type “A” was proposed by Knöös et al . [3] which were based on measurements and accounts for correction for patient contours and heterogeneities.…”

mentioning

confidence: 99%

Erratum: Clinical implications of eclipse analytical anisotropic algorithm and Acuros XB algorithm for the treatment of lung cancer

2017

J Med Phys

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Clinical implications of Eclipse analytical anisotropic algorithm and Acuros XB algorithm for the treatment of lung cancer

Cited by 8 publications

References 23 publications

New dosimetric guidelines for linear Boltzmann transport equations through comparative evaluation of stereotactic body radiation therapy for lung treatment planning

New dosimetric guidelines for linear Boltzmann transport equations through comparative evaluation of stereotactic body radiation therapy for lung treatment planning

Impact of Dose Algorithm and Calculation Angle Interval on in Vivo Dose Verification of Stereotactic Body Radiation Therapy: A Phantom Study

Erratum: Clinical implications of eclipse analytical anisotropic algorithm and Acuros XB algorithm for the treatment of lung cancer

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