Cargando…
Evaluation of a novel CBCT conversion method implemented in a treatment planning system
BACKGROUND: To evaluate a novel CBCT conversion algorithm for dose calculation implemented in a research version of a treatment planning system (TPS). METHODS: The algorithm was implemented in a research version of RayStation (v. 11B-DTK, RaySearch, Stockholm, Sweden). CBCTs acquired for each ten he...
Autores principales: | , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10655347/ https://www.ncbi.nlm.nih.gov/pubmed/37974264 http://dx.doi.org/10.1186/s13014-023-02378-2 |
_version_ | 1785147926787391488 |
---|---|
author | Lechner, Wolfgang Kanalas, Dávid Haupt, Sarah Zimmermann, Lukas Georg, Dietmar |
author_facet | Lechner, Wolfgang Kanalas, Dávid Haupt, Sarah Zimmermann, Lukas Georg, Dietmar |
author_sort | Lechner, Wolfgang |
collection | PubMed |
description | BACKGROUND: To evaluate a novel CBCT conversion algorithm for dose calculation implemented in a research version of a treatment planning system (TPS). METHODS: The algorithm was implemented in a research version of RayStation (v. 11B-DTK, RaySearch, Stockholm, Sweden). CBCTs acquired for each ten head and neck (HN), gynecology (GYN) and lung cancer (LNG) patients were collected and converted using the new algorithm (CBCT(c)). A bulk density overriding technique implemented in the same version of the TPS was used for comparison (CBCT(b)). A deformed CT (dCT) was created by using deformable image registration of the planning CT (pCT) to the CBCT to reduce anatomical changes. All treatment plans were recalculated on the pCT, dCT, CBCT(c) and the CBCT(b). The resulting dose distributions were analyzed using the MICE toolkit (NONPIMedical AB Sweden, Umeå) with local gamma analysis, with 1% dose difference and 1 mm distance to agreement criteria. A Wilcoxon paired rank sum test was applied to test the differences in gamma pass rates (GPRs). A p value smaller than 0.05 considered statistically significant. RESULTS: The GPRs for the CBCT(b) method were systematically lower compared to the CBCT(c) method. Using the 10% dose threshold and the dCT as reference the median GPRs were for the CBCT(c) method were 100% and 99.8% for the HN and GYN cases, respectively. Compared to that the GPRs of the CBCT(b) method were lower with values of 99.8% and 98.0%, for the HN and GYN cases, respectively. The GPRs of the LNG cases were 99.9% and 97.5% for the CBCT(c) and CBCT(b) method, respectively. These differences were statistically significant. The main differences between the dose calculated on the CBCTs and the pCTs were found in regions near air/tissue interfaces, which are also subject to anatomical variations. CONCLUSION: The dose distribution calculated using the new CBCT(c) method showed excellent agreement with the dose calculated using dCT and pCT and was superior to the CBCT(b) method. The main reasons for deviations of the calculated dose distribution were caused by anatomical variations between the pCT and the corrected CBCT. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13014-023-02378-2. |
format | Online Article Text |
id | pubmed-10655347 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-106553472023-11-16 Evaluation of a novel CBCT conversion method implemented in a treatment planning system Lechner, Wolfgang Kanalas, Dávid Haupt, Sarah Zimmermann, Lukas Georg, Dietmar Radiat Oncol Research BACKGROUND: To evaluate a novel CBCT conversion algorithm for dose calculation implemented in a research version of a treatment planning system (TPS). METHODS: The algorithm was implemented in a research version of RayStation (v. 11B-DTK, RaySearch, Stockholm, Sweden). CBCTs acquired for each ten head and neck (HN), gynecology (GYN) and lung cancer (LNG) patients were collected and converted using the new algorithm (CBCT(c)). A bulk density overriding technique implemented in the same version of the TPS was used for comparison (CBCT(b)). A deformed CT (dCT) was created by using deformable image registration of the planning CT (pCT) to the CBCT to reduce anatomical changes. All treatment plans were recalculated on the pCT, dCT, CBCT(c) and the CBCT(b). The resulting dose distributions were analyzed using the MICE toolkit (NONPIMedical AB Sweden, Umeå) with local gamma analysis, with 1% dose difference and 1 mm distance to agreement criteria. A Wilcoxon paired rank sum test was applied to test the differences in gamma pass rates (GPRs). A p value smaller than 0.05 considered statistically significant. RESULTS: The GPRs for the CBCT(b) method were systematically lower compared to the CBCT(c) method. Using the 10% dose threshold and the dCT as reference the median GPRs were for the CBCT(c) method were 100% and 99.8% for the HN and GYN cases, respectively. Compared to that the GPRs of the CBCT(b) method were lower with values of 99.8% and 98.0%, for the HN and GYN cases, respectively. The GPRs of the LNG cases were 99.9% and 97.5% for the CBCT(c) and CBCT(b) method, respectively. These differences were statistically significant. The main differences between the dose calculated on the CBCTs and the pCTs were found in regions near air/tissue interfaces, which are also subject to anatomical variations. CONCLUSION: The dose distribution calculated using the new CBCT(c) method showed excellent agreement with the dose calculated using dCT and pCT and was superior to the CBCT(b) method. The main reasons for deviations of the calculated dose distribution were caused by anatomical variations between the pCT and the corrected CBCT. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13014-023-02378-2. BioMed Central 2023-11-16 /pmc/articles/PMC10655347/ /pubmed/37974264 http://dx.doi.org/10.1186/s13014-023-02378-2 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/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Lechner, Wolfgang Kanalas, Dávid Haupt, Sarah Zimmermann, Lukas Georg, Dietmar Evaluation of a novel CBCT conversion method implemented in a treatment planning system |
title | Evaluation of a novel CBCT conversion method implemented in a treatment planning system |
title_full | Evaluation of a novel CBCT conversion method implemented in a treatment planning system |
title_fullStr | Evaluation of a novel CBCT conversion method implemented in a treatment planning system |
title_full_unstemmed | Evaluation of a novel CBCT conversion method implemented in a treatment planning system |
title_short | Evaluation of a novel CBCT conversion method implemented in a treatment planning system |
title_sort | evaluation of a novel cbct conversion method implemented in a treatment planning system |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10655347/ https://www.ncbi.nlm.nih.gov/pubmed/37974264 http://dx.doi.org/10.1186/s13014-023-02378-2 |
work_keys_str_mv | AT lechnerwolfgang evaluationofanovelcbctconversionmethodimplementedinatreatmentplanningsystem AT kanalasdavid evaluationofanovelcbctconversionmethodimplementedinatreatmentplanningsystem AT hauptsarah evaluationofanovelcbctconversionmethodimplementedinatreatmentplanningsystem AT zimmermannlukas evaluationofanovelcbctconversionmethodimplementedinatreatmentplanningsystem AT georgdietmar evaluationofanovelcbctconversionmethodimplementedinatreatmentplanningsystem |