Evaluation of dose calculation algorithms using different density materials for in-field and out-of-field conditions
Summary. Aim: The accuracy of the dose calculation is vital in the stereotactic ablative body radiotherapy (SABR) technique to achieve clinically effective dose distribution for better tumor control. Multiple commercial radiotherapy treatment planning systems (TPS) were implemented with different al...
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2023
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Experimental Oncology |
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2025-04-30T12:08:14Z |
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English |
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3D conformal radiotherapy collapsed cone convolution algorithm in-field condition out-of-field condition stereotactic ablative body radiotherapy |
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3D conformal radiotherapy collapsed cone convolution algorithm in-field condition out-of-field condition stereotactic ablative body radiotherapy Alghamdi, S. Tajaldeen, A. Evaluation of dose calculation algorithms using different density materials for in-field and out-of-field conditions |
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3D conformal radiotherapy collapsed cone convolution algorithm in-field condition out-of-field condition stereotactic ablative body radiotherapy 3D conformal radiotherapy collapsed cone convolution algorithm in-field condition out-of-field condition stereotactic ablative body radiotherapy |
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Article |
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Alghamdi, S. Tajaldeen, A. |
| author_facet |
Alghamdi, S. Tajaldeen, A. |
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Alghamdi, S. |
| title |
Evaluation of dose calculation algorithms using different density materials for in-field and out-of-field conditions |
| title_short |
Evaluation of dose calculation algorithms using different density materials for in-field and out-of-field conditions |
| title_full |
Evaluation of dose calculation algorithms using different density materials for in-field and out-of-field conditions |
| title_fullStr |
Evaluation of dose calculation algorithms using different density materials for in-field and out-of-field conditions |
| title_full_unstemmed |
Evaluation of dose calculation algorithms using different density materials for in-field and out-of-field conditions |
| title_sort |
evaluation of dose calculation algorithms using different density materials for in-field and out-of-field conditions |
| title_alt |
Evaluation of dose calculation algorithms using different density materials for in-field and out-of-field conditions |
| description |
Summary. Aim: The accuracy of the dose calculation is vital in the stereotactic ablative body radiotherapy (SABR) technique to achieve clinically effective dose distribution for better tumor control. Multiple commercial radiotherapy treatment planning systems (TPS) were implemented with different algorithms, such as Acuros XB in Eclipse and Superposition in XiO. The aim of this study is to investigate five different dose calculation algorithms, namely, pencil beam convolution (PBC), Acuros XB, AAA implemented in an Eclipse system, collapsed cone convolution (CCC) algorithm implemented in Mobius3D and superposition algorithms implemented in the XiO system, and then validate the results against measurements using an Institute of Physical Sciences in Medicine (IPSM) phantom with different density materials for in-field and out-of- field conditions. Material and Methods: The IPSM phantom was used to investigate the dose calculation algorithm performances in four different densities (water, lung, ribs, and dense bone) using different beam configurations, including small beam fields utilised in lung SABR. Five commercial algorithms implemented in two TPS (Eclipse and XiO) and one plan check (M3D) system were used for in-field and out-of-field measurement. Results: In the in-field condition, the Acuros XB algorithm had lower mean differences than the measured dose by the IC ranging from –0.46 to 0.24 for all the densities. In the out-of-field condition, the results of eclipse system: AAA, PBC and Acuros XB algorithms demonstrated underdose point’s measurements by –40% for all densities except for AAA calculations in lung density (overdosed by 40%). The measured points of the superposition algorithms were overestimated to the actual dose less than 30% in water, lung and dense bone. At the same densities, the CCC algorithms showed relatively the lowest differences in percentage compared to the superposition algorithms. Conclusion: Our results showed that the Acuros XB and superposition algorithms are closer to the actual measured dose than AAA, PBC and CCC for majority of the field conditions for water-equivalent, lung, rib and dense bone densities. The CCC algorithm resulted in a better agreement with the measurement of the out-of-field points compared with the other algorithms. |
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PH Akademperiodyka |
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2023 |
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https://exp-oncology.com.ua/index.php/Exp/article/view/2019-1-8 |
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AT alghamdis evaluationofdosecalculationalgorithmsusingdifferentdensitymaterialsforinfieldandoutoffieldconditions AT tajaldeena evaluationofdosecalculationalgorithmsusingdifferentdensitymaterialsforinfieldandoutoffieldconditions |
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2025-07-17T12:17:13Z |
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oai:ojs2.ex.aqua-time.com.ua:article-2662025-04-30T12:08:14Z Evaluation of dose calculation algorithms using different density materials for in-field and out-of-field conditions Evaluation of dose calculation algorithms using different density materials for in-field and out-of-field conditions Alghamdi, S. Tajaldeen, A. 3D conformal radiotherapy, collapsed cone convolution algorithm, in-field condition, out-of-field condition, stereotactic ablative body radiotherapy 3D conformal radiotherapy, collapsed cone convolution algorithm, in-field condition, out-of-field condition, stereotactic ablative body radiotherapy Summary. Aim: The accuracy of the dose calculation is vital in the stereotactic ablative body radiotherapy (SABR) technique to achieve clinically effective dose distribution for better tumor control. Multiple commercial radiotherapy treatment planning systems (TPS) were implemented with different algorithms, such as Acuros XB in Eclipse and Superposition in XiO. The aim of this study is to investigate five different dose calculation algorithms, namely, pencil beam convolution (PBC), Acuros XB, AAA implemented in an Eclipse system, collapsed cone convolution (CCC) algorithm implemented in Mobius3D and superposition algorithms implemented in the XiO system, and then validate the results against measurements using an Institute of Physical Sciences in Medicine (IPSM) phantom with different density materials for in-field and out-of- field conditions. Material and Methods: The IPSM phantom was used to investigate the dose calculation algorithm performances in four different densities (water, lung, ribs, and dense bone) using different beam configurations, including small beam fields utilised in lung SABR. Five commercial algorithms implemented in two TPS (Eclipse and XiO) and one plan check (M3D) system were used for in-field and out-of-field measurement. Results: In the in-field condition, the Acuros XB algorithm had lower mean differences than the measured dose by the IC ranging from –0.46 to 0.24 for all the densities. In the out-of-field condition, the results of eclipse system: AAA, PBC and Acuros XB algorithms demonstrated underdose point’s measurements by –40% for all densities except for AAA calculations in lung density (overdosed by 40%). The measured points of the superposition algorithms were overestimated to the actual dose less than 30% in water, lung and dense bone. At the same densities, the CCC algorithms showed relatively the lowest differences in percentage compared to the superposition algorithms. Conclusion: Our results showed that the Acuros XB and superposition algorithms are closer to the actual measured dose than AAA, PBC and CCC for majority of the field conditions for water-equivalent, lung, rib and dense bone densities. The CCC algorithm resulted in a better agreement with the measurement of the out-of-field points compared with the other algorithms. Summary. Aim: The accuracy of the dose calculation is vital in the stereotactic ablative body radiotherapy (SABR) technique to achieve clinically effective dose distribution for better tumor control. Multiple commercial radiotherapy treatment planning systems (TPS) were implemented with different algorithms, such as Acuros XB in Eclipse and Superposition in XiO. The aim of this study is to investigate five different dose calculation algorithms, namely, pencil beam convolution (PBC), Acuros XB, AAA implemented in an Eclipse system, collapsed cone convolution (CCC) algorithm implemented in Mobius3D and superposition algorithms implemented in the XiO system, and then validate the results against measurements using an Institute of Physical Sciences in Medicine (IPSM) phantom with different density materials for in-field and out-of- field conditions. Material and Methods: The IPSM phantom was used to investigate the dose calculation algorithm performances in four different densities (water, lung, ribs, and dense bone) using different beam configurations, including small beam fields utilised in lung SABR. Five commercial algorithms implemented in two TPS (Eclipse and XiO) and one plan check (M3D) system were used for in-field and out-of-field measurement. Results: In the in-field condition, the Acuros XB algorithm had lower mean differences than the measured dose by the IC ranging from –0.46 to 0.24 for all the densities. In the out-of-field condition, the results of eclipse system: AAA, PBC and Acuros XB algorithms demonstrated underdose point’s measurements by –40% for all densities except for AAA calculations in lung density (overdosed by 40%). The measured points of the superposition algorithms were overestimated to the actual dose less than 30% in water, lung and dense bone. At the same densities, the CCC algorithms showed relatively the lowest differences in percentage compared to the superposition algorithms. Conclusion: Our results showed that the Acuros XB and superposition algorithms are closer to the actual measured dose than AAA, PBC and CCC for majority of the field conditions for water-equivalent, lung, rib and dense bone densities. The CCC algorithm resulted in a better agreement with the measurement of the out-of-field points compared with the other algorithms. PH Akademperiodyka 2023-06-08 Article Article application/pdf https://exp-oncology.com.ua/index.php/Exp/article/view/2019-1-8 10.32471/exp-oncology.2312-8852.vol-41-no-1.12529 Experimental Oncology; Vol. 41 No. 1 (2019): Experimental Oncology; 46-52 Експериментальна онкологія; Том 41 № 1 (2019): Експериментальна онкологія; 46-52 2312-8852 1812-9269 10.32471/exp-oncology.2312-8852.vol-41-no-1 en https://exp-oncology.com.ua/index.php/Exp/article/view/2019-1-8/2019-1-8 Copyright (c) 2023 Experimental Oncology https://creativecommons.org/licenses/by-nc/4.0/ |