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Daily dose evaluation based on corrected CBCTs for breast cancer patients: accuracy of dose and complication risk assessment
OBJECTIVES: The goal of this study is to validate different CBCT correction methods to select the superior method that can be used for dose evaluation in breast cancer patients with large anatomical changes treated with photon irradiation. MATERIALS AND METHOD: Seventy-six breast cancer patients tre...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9746176/ https://www.ncbi.nlm.nih.gov/pubmed/36510254 http://dx.doi.org/10.1186/s13014-022-02174-4 |
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author | Hamming, Vincent C. Andersson, Sebastian Maduro, John H. Langendijk, Johannes A. Both, Stefan Sijtsema, Nanna M. |
author_facet | Hamming, Vincent C. Andersson, Sebastian Maduro, John H. Langendijk, Johannes A. Both, Stefan Sijtsema, Nanna M. |
author_sort | Hamming, Vincent C. |
collection | PubMed |
description | OBJECTIVES: The goal of this study is to validate different CBCT correction methods to select the superior method that can be used for dose evaluation in breast cancer patients with large anatomical changes treated with photon irradiation. MATERIALS AND METHOD: Seventy-six breast cancer patients treated with a partial VMAT photon technique (70% conformal, 30% VMAT) were included in this study. All patients showed at least a 5 mm variation (swelling or shrinkage) of the breast on the CBCT compared to the planning-CT (pCT) and had a repeat-CT (rCT) for dose evaluation acquired within 3 days of this CBCT. The original CBCT was corrected using four methods: (1) HU-override correction (CBCT(HU)), (2) analytical correction and conversion (CBCT(CC)), (3) deep learning (DL) correction (CT(DL)) and (4) virtual correction (CT(V)). Image quality evaluation consisted of calculating the mean absolute error (MAE) and mean error (ME) within the whole breast clinical target volume (CTV) and the field of view of the CBCT minus 2 cm (CBCT-ROI) with respect to the rCT. The dose was calculated on all image sets using the clinical treatment plan for dose and gamma passing rate analysis. RESULTS: The MAE of the CBCT-ROI was below 66 HU for all corrected CBCTs, except for the CBCT(HU) with a MAE of 142 HU. No significant dose differences were observed in the CTV regions in the CBCT(CC), CT(DL) and CT(v). Only the CBCT(HU) deviated significantly (p < 0.01) resulting in 1.7% (± 1.1%) average dose deviation. Gamma passing rates were > 95% for 2%/2 mm for all corrected CBCTs. CONCLUSION: The analytical correction and conversion, deep learning correction and virtual correction methods can be applied for an accurate CBCT correction that can be used for dose evaluation during the course of photon radiotherapy of breast cancer patients. |
format | Online Article Text |
id | pubmed-9746176 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-97461762022-12-14 Daily dose evaluation based on corrected CBCTs for breast cancer patients: accuracy of dose and complication risk assessment Hamming, Vincent C. Andersson, Sebastian Maduro, John H. Langendijk, Johannes A. Both, Stefan Sijtsema, Nanna M. Radiat Oncol Research OBJECTIVES: The goal of this study is to validate different CBCT correction methods to select the superior method that can be used for dose evaluation in breast cancer patients with large anatomical changes treated with photon irradiation. MATERIALS AND METHOD: Seventy-six breast cancer patients treated with a partial VMAT photon technique (70% conformal, 30% VMAT) were included in this study. All patients showed at least a 5 mm variation (swelling or shrinkage) of the breast on the CBCT compared to the planning-CT (pCT) and had a repeat-CT (rCT) for dose evaluation acquired within 3 days of this CBCT. The original CBCT was corrected using four methods: (1) HU-override correction (CBCT(HU)), (2) analytical correction and conversion (CBCT(CC)), (3) deep learning (DL) correction (CT(DL)) and (4) virtual correction (CT(V)). Image quality evaluation consisted of calculating the mean absolute error (MAE) and mean error (ME) within the whole breast clinical target volume (CTV) and the field of view of the CBCT minus 2 cm (CBCT-ROI) with respect to the rCT. The dose was calculated on all image sets using the clinical treatment plan for dose and gamma passing rate analysis. RESULTS: The MAE of the CBCT-ROI was below 66 HU for all corrected CBCTs, except for the CBCT(HU) with a MAE of 142 HU. No significant dose differences were observed in the CTV regions in the CBCT(CC), CT(DL) and CT(v). Only the CBCT(HU) deviated significantly (p < 0.01) resulting in 1.7% (± 1.1%) average dose deviation. Gamma passing rates were > 95% for 2%/2 mm for all corrected CBCTs. CONCLUSION: The analytical correction and conversion, deep learning correction and virtual correction methods can be applied for an accurate CBCT correction that can be used for dose evaluation during the course of photon radiotherapy of breast cancer patients. BioMed Central 2022-12-12 /pmc/articles/PMC9746176/ /pubmed/36510254 http://dx.doi.org/10.1186/s13014-022-02174-4 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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 Hamming, Vincent C. Andersson, Sebastian Maduro, John H. Langendijk, Johannes A. Both, Stefan Sijtsema, Nanna M. Daily dose evaluation based on corrected CBCTs for breast cancer patients: accuracy of dose and complication risk assessment |
title | Daily dose evaluation based on corrected CBCTs for breast cancer patients: accuracy of dose and complication risk assessment |
title_full | Daily dose evaluation based on corrected CBCTs for breast cancer patients: accuracy of dose and complication risk assessment |
title_fullStr | Daily dose evaluation based on corrected CBCTs for breast cancer patients: accuracy of dose and complication risk assessment |
title_full_unstemmed | Daily dose evaluation based on corrected CBCTs for breast cancer patients: accuracy of dose and complication risk assessment |
title_short | Daily dose evaluation based on corrected CBCTs for breast cancer patients: accuracy of dose and complication risk assessment |
title_sort | daily dose evaluation based on corrected cbcts for breast cancer patients: accuracy of dose and complication risk assessment |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9746176/ https://www.ncbi.nlm.nih.gov/pubmed/36510254 http://dx.doi.org/10.1186/s13014-022-02174-4 |
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