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Synthetic CTs for MRI-only brain RT treatment: integration of immobilization systems

PURPOSE: Auxiliary devices such as immobilization systems should be considered in synthetic CT (sCT)-based treatment planning (TP) for MRI-only brain radiotherapy (RT). A method for auxiliary device definition in the sCT is introduced, and its dosimetric impact on the sCT-based TP is addressed. METH...

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Autores principales: Masitho, Siti, Grigo, Johanna, Brandt, Tobias, Lambrecht, Ulrike, Szkitsak, Juliane, Weiss, Alexander, Fietkau, Rainer, Putz, Florian, Bert, Christoph
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10361877/
https://www.ncbi.nlm.nih.gov/pubmed/37285037
http://dx.doi.org/10.1007/s00066-023-02090-w
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author Masitho, Siti
Grigo, Johanna
Brandt, Tobias
Lambrecht, Ulrike
Szkitsak, Juliane
Weiss, Alexander
Fietkau, Rainer
Putz, Florian
Bert, Christoph
author_facet Masitho, Siti
Grigo, Johanna
Brandt, Tobias
Lambrecht, Ulrike
Szkitsak, Juliane
Weiss, Alexander
Fietkau, Rainer
Putz, Florian
Bert, Christoph
author_sort Masitho, Siti
collection PubMed
description PURPOSE: Auxiliary devices such as immobilization systems should be considered in synthetic CT (sCT)-based treatment planning (TP) for MRI-only brain radiotherapy (RT). A method for auxiliary device definition in the sCT is introduced, and its dosimetric impact on the sCT-based TP is addressed. METHODS: T1-VIBE DIXON was acquired in an RT setup. Ten datasets were retrospectively used for sCT generation. Silicone markers were used to determine the auxiliary devices’ relative position. An auxiliary structure template (AST) was created in the TP system and placed manually on the MRI. Various RT mask characteristics were simulated in the sCT and investigated by recalculating the CT-based clinical plan on the sCT. The influence of auxiliary devices was investigated by creating static fields aimed at artificial planning target volumes (PTVs) in the CT and recalculated in the sCT. The dose covering 50% of the PTV (D(50)) deviation percentage between CT-based/recalculated plan (∆D(50)[%]) was evaluated. RESULTS: Defining an optimal RT mask yielded a ∆D(50)[%] of 0.2 ± 1.03% for the PTV and between −1.6 ± 3.4% and 1.1 ± 2.0% for OARs. Evaluating each static field, the largest ∆D(50)[%] was delivered by AST positioning inaccuracy (max: 3.5 ± 2.4%), followed by the RT table (max: 3.6 ± 1.2%) and the RT mask (max: 3.0 ± 0.8% [anterior], 1.6 ± 0.4% [rest]). No correlation between ∆D(50)[%] and beam depth was found for the sum of opposing beams, except for (45° + 315°). CONCLUSION: This study evaluated the integration of auxiliary devices and their dosimetric influence on sCT-based TP. The AST can be easily integrated into the sCT-based TP. Further, we found that the dosimetric impact was within an acceptable range for an MRI-only workflow.
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spelling pubmed-103618772023-07-23 Synthetic CTs for MRI-only brain RT treatment: integration of immobilization systems Masitho, Siti Grigo, Johanna Brandt, Tobias Lambrecht, Ulrike Szkitsak, Juliane Weiss, Alexander Fietkau, Rainer Putz, Florian Bert, Christoph Strahlenther Onkol Original Article PURPOSE: Auxiliary devices such as immobilization systems should be considered in synthetic CT (sCT)-based treatment planning (TP) for MRI-only brain radiotherapy (RT). A method for auxiliary device definition in the sCT is introduced, and its dosimetric impact on the sCT-based TP is addressed. METHODS: T1-VIBE DIXON was acquired in an RT setup. Ten datasets were retrospectively used for sCT generation. Silicone markers were used to determine the auxiliary devices’ relative position. An auxiliary structure template (AST) was created in the TP system and placed manually on the MRI. Various RT mask characteristics were simulated in the sCT and investigated by recalculating the CT-based clinical plan on the sCT. The influence of auxiliary devices was investigated by creating static fields aimed at artificial planning target volumes (PTVs) in the CT and recalculated in the sCT. The dose covering 50% of the PTV (D(50)) deviation percentage between CT-based/recalculated plan (∆D(50)[%]) was evaluated. RESULTS: Defining an optimal RT mask yielded a ∆D(50)[%] of 0.2 ± 1.03% for the PTV and between −1.6 ± 3.4% and 1.1 ± 2.0% for OARs. Evaluating each static field, the largest ∆D(50)[%] was delivered by AST positioning inaccuracy (max: 3.5 ± 2.4%), followed by the RT table (max: 3.6 ± 1.2%) and the RT mask (max: 3.0 ± 0.8% [anterior], 1.6 ± 0.4% [rest]). No correlation between ∆D(50)[%] and beam depth was found for the sum of opposing beams, except for (45° + 315°). CONCLUSION: This study evaluated the integration of auxiliary devices and their dosimetric influence on sCT-based TP. The AST can be easily integrated into the sCT-based TP. Further, we found that the dosimetric impact was within an acceptable range for an MRI-only workflow. Springer Berlin Heidelberg 2023-06-07 2023 /pmc/articles/PMC10361877/ /pubmed/37285037 http://dx.doi.org/10.1007/s00066-023-02090-w Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Original Article
Masitho, Siti
Grigo, Johanna
Brandt, Tobias
Lambrecht, Ulrike
Szkitsak, Juliane
Weiss, Alexander
Fietkau, Rainer
Putz, Florian
Bert, Christoph
Synthetic CTs for MRI-only brain RT treatment: integration of immobilization systems
title Synthetic CTs for MRI-only brain RT treatment: integration of immobilization systems
title_full Synthetic CTs for MRI-only brain RT treatment: integration of immobilization systems
title_fullStr Synthetic CTs for MRI-only brain RT treatment: integration of immobilization systems
title_full_unstemmed Synthetic CTs for MRI-only brain RT treatment: integration of immobilization systems
title_short Synthetic CTs for MRI-only brain RT treatment: integration of immobilization systems
title_sort synthetic cts for mri-only brain rt treatment: integration of immobilization systems
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10361877/
https://www.ncbi.nlm.nih.gov/pubmed/37285037
http://dx.doi.org/10.1007/s00066-023-02090-w
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