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Comparison of two optimization algorithms (VOLO(TM), SEQU) for CyberKnife® treatment of acoustic neuromas, lung metastases, and liver metastases

INTRODUCTION: Two optimization algorithms VOLO™ and sequential optimization algorithm (SEQU) are compared in the Precision® treatment planning system from Accuray® for stereotactic radiosurgery and stereotactic body radiotherapy (SBRT) treatment plans. The aim is to compare the two algorithms to ass...

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Autores principales: Thiele, Martin, Galonske, Kirsten, Ernst, Iris
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10691623/
https://www.ncbi.nlm.nih.gov/pubmed/37672349
http://dx.doi.org/10.1002/acm2.14144
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author Thiele, Martin
Galonske, Kirsten
Ernst, Iris
author_facet Thiele, Martin
Galonske, Kirsten
Ernst, Iris
author_sort Thiele, Martin
collection PubMed
description INTRODUCTION: Two optimization algorithms VOLO™ and sequential optimization algorithm (SEQU) are compared in the Precision® treatment planning system from Accuray® for stereotactic radiosurgery and stereotactic body radiotherapy (SBRT) treatment plans. The aim is to compare the two algorithms to assess if VOLO™ is better of SEQU in certain treatment site. MATERIALS AND METHODS: Sixty clinical treatment cases were compared. Entities include Acoustic neuroma (AN), lung metastases, and liver metastases. In each entity, 10 SEQU and 10 VOLO™ treatment plans were optimized. The Ray‐Tracing calculation algorithm was used for all treatment plans and the treatments were planned exclusively with fixed cones (5–50 mm). The number of nodes, beams, total MU, and treatment time were compared. Conformity index (CI), new conformity index (nCI), homogeneity index (HI), gradient index (GI), and target coverage were examined for agreement. D(min), D(mean), D(max), D100%, D98%, and D2% dose in the target volume as well as exposure to organs at risk was checked. To determine peripheral doses, the isodose volumes from V10% to V98% were evaluated. RESULTS: AN treatment plans showed significant differences for the number of nodes, beams, total MU, treatment time, D98%, D100% for the target volume, and the doses for all organs at risk. VOLO™ achieved better results on average. Total MU, treatment time, coverage, and D98% are significantly better for VOLO™ for lung metastases. For liver metastases, a significant reduction in number of nodes, total MU, and treatment time was observed for VOLO™ plans. The mean target coverage increased slightly with VOLO™, while the mean CI deteriorated slightly. The averages of D(min), D(mean), D98%, D100%, and V80% resulted in a significant increase for VOLO™. CONCLUSION: The results of the present study indicate that VOLO™ should be used in place of SEQU as a standard for AN cases moving forward. Despite the lack of significance in the lung and liver cases, VOLO™ optimization is recommended because OAR sparing was similar, but coverage, D(min), and D(mean) were increased, and thus better tumor control can be expected.
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spelling pubmed-106916232023-12-02 Comparison of two optimization algorithms (VOLO(TM), SEQU) for CyberKnife® treatment of acoustic neuromas, lung metastases, and liver metastases Thiele, Martin Galonske, Kirsten Ernst, Iris J Appl Clin Med Phys Radiation Oncology Physics INTRODUCTION: Two optimization algorithms VOLO™ and sequential optimization algorithm (SEQU) are compared in the Precision® treatment planning system from Accuray® for stereotactic radiosurgery and stereotactic body radiotherapy (SBRT) treatment plans. The aim is to compare the two algorithms to assess if VOLO™ is better of SEQU in certain treatment site. MATERIALS AND METHODS: Sixty clinical treatment cases were compared. Entities include Acoustic neuroma (AN), lung metastases, and liver metastases. In each entity, 10 SEQU and 10 VOLO™ treatment plans were optimized. The Ray‐Tracing calculation algorithm was used for all treatment plans and the treatments were planned exclusively with fixed cones (5–50 mm). The number of nodes, beams, total MU, and treatment time were compared. Conformity index (CI), new conformity index (nCI), homogeneity index (HI), gradient index (GI), and target coverage were examined for agreement. D(min), D(mean), D(max), D100%, D98%, and D2% dose in the target volume as well as exposure to organs at risk was checked. To determine peripheral doses, the isodose volumes from V10% to V98% were evaluated. RESULTS: AN treatment plans showed significant differences for the number of nodes, beams, total MU, treatment time, D98%, D100% for the target volume, and the doses for all organs at risk. VOLO™ achieved better results on average. Total MU, treatment time, coverage, and D98% are significantly better for VOLO™ for lung metastases. For liver metastases, a significant reduction in number of nodes, total MU, and treatment time was observed for VOLO™ plans. The mean target coverage increased slightly with VOLO™, while the mean CI deteriorated slightly. The averages of D(min), D(mean), D98%, D100%, and V80% resulted in a significant increase for VOLO™. CONCLUSION: The results of the present study indicate that VOLO™ should be used in place of SEQU as a standard for AN cases moving forward. Despite the lack of significance in the lung and liver cases, VOLO™ optimization is recommended because OAR sparing was similar, but coverage, D(min), and D(mean) were increased, and thus better tumor control can be expected. John Wiley and Sons Inc. 2023-09-06 /pmc/articles/PMC10691623/ /pubmed/37672349 http://dx.doi.org/10.1002/acm2.14144 Text en © 2023 The Authors. Journal of Applied Clinical Medical Physics published by Wiley Periodicals, LLC on behalf of The American Association of Physicists in Medicine. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Radiation Oncology Physics
Thiele, Martin
Galonske, Kirsten
Ernst, Iris
Comparison of two optimization algorithms (VOLO(TM), SEQU) for CyberKnife® treatment of acoustic neuromas, lung metastases, and liver metastases
title Comparison of two optimization algorithms (VOLO(TM), SEQU) for CyberKnife® treatment of acoustic neuromas, lung metastases, and liver metastases
title_full Comparison of two optimization algorithms (VOLO(TM), SEQU) for CyberKnife® treatment of acoustic neuromas, lung metastases, and liver metastases
title_fullStr Comparison of two optimization algorithms (VOLO(TM), SEQU) for CyberKnife® treatment of acoustic neuromas, lung metastases, and liver metastases
title_full_unstemmed Comparison of two optimization algorithms (VOLO(TM), SEQU) for CyberKnife® treatment of acoustic neuromas, lung metastases, and liver metastases
title_short Comparison of two optimization algorithms (VOLO(TM), SEQU) for CyberKnife® treatment of acoustic neuromas, lung metastases, and liver metastases
title_sort comparison of two optimization algorithms (volo(tm), sequ) for cyberknife® treatment of acoustic neuromas, lung metastases, and liver metastases
topic Radiation Oncology Physics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10691623/
https://www.ncbi.nlm.nih.gov/pubmed/37672349
http://dx.doi.org/10.1002/acm2.14144
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