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Benefits and considerations in using a novel computed tomography system optimized for radiotherapy planning

In this study, we evaluated a novel 16-bit computed tomography (CT) system optimized for radiotherapy planning. Over six months, using various protocols, we conducted 616 scans, with an average of four CT series per session imported into our treatment planning software (TPS). The direct density (DD)...

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Detalles Bibliográficos
Autores principales: Grohmann, Maximilian, Petersen, Cordula, Todorovic, Manuel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10694773/
http://dx.doi.org/10.1016/j.phro.2023.100510
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author Grohmann, Maximilian
Petersen, Cordula
Todorovic, Manuel
author_facet Grohmann, Maximilian
Petersen, Cordula
Todorovic, Manuel
author_sort Grohmann, Maximilian
collection PubMed
description In this study, we evaluated a novel 16-bit computed tomography (CT) system optimized for radiotherapy planning. Over six months, using various protocols, we conducted 616 scans, with an average of four CT series per session imported into our treatment planning software (TPS). The direct density (DD) reconstruction enabled a single CT number calibration curve for multiple tube voltages. Metal artifacts could be effectively reduced. The 16-bit character permitted dose calculation in high-density regions, while TPS integration challenges remained. In conclusion, our findings emphasize the system's potential benefits and considerations in radiotherapy workflows.
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spelling pubmed-106947732023-12-05 Benefits and considerations in using a novel computed tomography system optimized for radiotherapy planning Grohmann, Maximilian Petersen, Cordula Todorovic, Manuel Phys Imaging Radiat Oncol Article(s) from the Special Issue, 'From CT Innovation to Routine Clinical Application in Radiation Oncology' In this study, we evaluated a novel 16-bit computed tomography (CT) system optimized for radiotherapy planning. Over six months, using various protocols, we conducted 616 scans, with an average of four CT series per session imported into our treatment planning software (TPS). The direct density (DD) reconstruction enabled a single CT number calibration curve for multiple tube voltages. Metal artifacts could be effectively reduced. The 16-bit character permitted dose calculation in high-density regions, while TPS integration challenges remained. In conclusion, our findings emphasize the system's potential benefits and considerations in radiotherapy workflows. Elsevier 2023-11-17 /pmc/articles/PMC10694773/ http://dx.doi.org/10.1016/j.phro.2023.100510 Text en © 2023 The Authors. Published by Elsevier B.V. on behalf of European Society of Radiotherapy & Oncology. 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 Article(s) from the Special Issue, 'From CT Innovation to Routine Clinical Application in Radiation Oncology'
Grohmann, Maximilian
Petersen, Cordula
Todorovic, Manuel
Benefits and considerations in using a novel computed tomography system optimized for radiotherapy planning
title Benefits and considerations in using a novel computed tomography system optimized for radiotherapy planning
title_full Benefits and considerations in using a novel computed tomography system optimized for radiotherapy planning
title_fullStr Benefits and considerations in using a novel computed tomography system optimized for radiotherapy planning
title_full_unstemmed Benefits and considerations in using a novel computed tomography system optimized for radiotherapy planning
title_short Benefits and considerations in using a novel computed tomography system optimized for radiotherapy planning
title_sort benefits and considerations in using a novel computed tomography system optimized for radiotherapy planning
topic Article(s) from the Special Issue, 'From CT Innovation to Routine Clinical Application in Radiation Oncology'
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10694773/
http://dx.doi.org/10.1016/j.phro.2023.100510
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