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Multiple direction needle-path planning and inverse dose optimization for robotic low-dose rate brachytherapy
PURPOSE: Robotic systems to assist needle placements for low-dose rate brachytherapy enable conformal dose planning only restricted to path planning around risk structures. We report a treatment planning system (TPS) combining multiple direction needle-path planning with inverse dose optimization al...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9948865/ https://www.ncbi.nlm.nih.gov/pubmed/34373188 http://dx.doi.org/10.1016/j.zemedi.2021.06.003 |
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author | Aumüller, Philipp Rothfuss, Andreas Polednik, Martin Abo-Madyan, Yasser Ehmann, Michael Giordano, Frank A. Clausen, Sven |
author_facet | Aumüller, Philipp Rothfuss, Andreas Polednik, Martin Abo-Madyan, Yasser Ehmann, Michael Giordano, Frank A. Clausen, Sven |
author_sort | Aumüller, Philipp |
collection | PubMed |
description | PURPOSE: Robotic systems to assist needle placements for low-dose rate brachytherapy enable conformal dose planning only restricted to path planning around risk structures. We report a treatment planning system (TPS) combining multiple direction needle-path planning with inverse dose optimization algorithms. METHODS: We investigated in a path planning algorithm to efficiently locate needle injection points reaching the target volume without puncturing risk structures. A candidate needle domain with all combinations of trajectories is used for the optimization process. We report a modular algorithm for inverse radiation plan optimization. The initial plan with V100 > 99% is generated by the “greedy optimizer”. The “remove-seed algorithm” reduces the number of seeds in the high dose regions. The “depth-optimizer” varies the insertion depth of the needles. The “coverage-optimizer” locates under-dosed areas in the target volume and supports them with an additional amount of seeds. The dose calculation algorithm is benchmarked on an image set of a phantom with a liver metastasis (prescription dose [Formula: see text]) and is re-planned in a commercial CE-marked TPS to compare the calculated dose grids using a global gamma analysis. The inverse optimizer is benchmarked by calculating 10 plans on the same phantom to investigate the stability and statistical variability of the dose parameters. RESULTS: The path planning algorithm efficiently removes 72.5% of all considered injection points. The candidate needle domain consists of combinations of 1971 tip points and 827 injection points. The global gamma analysis with gamma [Formula: see text] , [Formula: see text] showed a pass rate of [Formula: see text] The dose parameters were [Formula: see text] , [Formula: see text] , [Formula: see text] and [Formula: see text] and [Formula: see text] needles with [Formula: see text] seeds were used. The median of the TPS total running time was 4.4 minutes. CONCLUSIONS: The TPS generates treatment plans with acceptable dose coverage in a reasonable amount of time. The gamma analysis shows good accordance to the commercial TPS. The TPS allows taking full advantage of robotic navigation tools to enable a new precise and safe method of minimally invasive low-dose-rate brachytherapy. |
format | Online Article Text |
id | pubmed-9948865 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-99488652023-02-23 Multiple direction needle-path planning and inverse dose optimization for robotic low-dose rate brachytherapy Aumüller, Philipp Rothfuss, Andreas Polednik, Martin Abo-Madyan, Yasser Ehmann, Michael Giordano, Frank A. Clausen, Sven Z Med Phys Original Article PURPOSE: Robotic systems to assist needle placements for low-dose rate brachytherapy enable conformal dose planning only restricted to path planning around risk structures. We report a treatment planning system (TPS) combining multiple direction needle-path planning with inverse dose optimization algorithms. METHODS: We investigated in a path planning algorithm to efficiently locate needle injection points reaching the target volume without puncturing risk structures. A candidate needle domain with all combinations of trajectories is used for the optimization process. We report a modular algorithm for inverse radiation plan optimization. The initial plan with V100 > 99% is generated by the “greedy optimizer”. The “remove-seed algorithm” reduces the number of seeds in the high dose regions. The “depth-optimizer” varies the insertion depth of the needles. The “coverage-optimizer” locates under-dosed areas in the target volume and supports them with an additional amount of seeds. The dose calculation algorithm is benchmarked on an image set of a phantom with a liver metastasis (prescription dose [Formula: see text]) and is re-planned in a commercial CE-marked TPS to compare the calculated dose grids using a global gamma analysis. The inverse optimizer is benchmarked by calculating 10 plans on the same phantom to investigate the stability and statistical variability of the dose parameters. RESULTS: The path planning algorithm efficiently removes 72.5% of all considered injection points. The candidate needle domain consists of combinations of 1971 tip points and 827 injection points. The global gamma analysis with gamma [Formula: see text] , [Formula: see text] showed a pass rate of [Formula: see text] The dose parameters were [Formula: see text] , [Formula: see text] , [Formula: see text] and [Formula: see text] and [Formula: see text] needles with [Formula: see text] seeds were used. The median of the TPS total running time was 4.4 minutes. CONCLUSIONS: The TPS generates treatment plans with acceptable dose coverage in a reasonable amount of time. The gamma analysis shows good accordance to the commercial TPS. The TPS allows taking full advantage of robotic navigation tools to enable a new precise and safe method of minimally invasive low-dose-rate brachytherapy. Elsevier 2021-08-07 /pmc/articles/PMC9948865/ /pubmed/34373188 http://dx.doi.org/10.1016/j.zemedi.2021.06.003 Text en © 2021 The Author(s). Published by Elsevier GmbH on behalf of DGMP, ÖGMP and SSRMP. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Original Article Aumüller, Philipp Rothfuss, Andreas Polednik, Martin Abo-Madyan, Yasser Ehmann, Michael Giordano, Frank A. Clausen, Sven Multiple direction needle-path planning and inverse dose optimization for robotic low-dose rate brachytherapy |
title | Multiple direction needle-path planning and inverse dose optimization for robotic low-dose rate brachytherapy |
title_full | Multiple direction needle-path planning and inverse dose optimization for robotic low-dose rate brachytherapy |
title_fullStr | Multiple direction needle-path planning and inverse dose optimization for robotic low-dose rate brachytherapy |
title_full_unstemmed | Multiple direction needle-path planning and inverse dose optimization for robotic low-dose rate brachytherapy |
title_short | Multiple direction needle-path planning and inverse dose optimization for robotic low-dose rate brachytherapy |
title_sort | multiple direction needle-path planning and inverse dose optimization for robotic low-dose rate brachytherapy |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9948865/ https://www.ncbi.nlm.nih.gov/pubmed/34373188 http://dx.doi.org/10.1016/j.zemedi.2021.06.003 |
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