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Benchmarking the AlignRT surface deformation module for the early detection and quantification of oedema in breast cancer radiotherapy
PURPOSE: To determine the accuracy of AlignRT surface deformation module in detecting and quantifying oedema in breast cancer radiotherapy. MATERIALS AND METHODS: A female torso phantom and water-equivalent boluses of different thicknesses (0.5–1.5 cm) were used. The variation of surface displacemen...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8777118/ https://www.ncbi.nlm.nih.gov/pubmed/35079643 http://dx.doi.org/10.1016/j.tipsro.2021.12.002 |
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author | Sorgato, Veronica Ghazouani, Khaoula Queffelec, Yann Julia, Frederic Clement, Sophie Fric, Daniele Farah, Jad |
author_facet | Sorgato, Veronica Ghazouani, Khaoula Queffelec, Yann Julia, Frederic Clement, Sophie Fric, Daniele Farah, Jad |
author_sort | Sorgato, Veronica |
collection | PubMed |
description | PURPOSE: To determine the accuracy of AlignRT surface deformation module in detecting and quantifying oedema in breast cancer radiotherapy. MATERIALS AND METHODS: A female torso phantom and water-equivalent boluses of different thicknesses (0.5–1.5 cm) were used. The variation of surface displacement and the percentage of surface within tolerance, as a function of bolus thickness and Region of Interest (ROI) size, were investigated. Additionally, a dynamic phantom was used to study the impact of patient breathing on the swelling estimation. Lastly, a flowchart was derived to alert physicians in the case of breast swelling. RESULTS: Average displacement value proved to be inversely correlated with ROI size (R(2) > 0.9). As such, for a ROI smaller than the bolus size (2.5x2.5 cm(2)), the average displacement (1.05 cm) provides an accurate estimate of the oedema thickness (within 5%). In opposition, with a clinical ROI, the 1 cm-thick bolus was largely underestimated with an average displacement value of 0.28 cm only. To limit the impact of patient breathing on surface deformation, dynamic surface captures and the use of the corrected patient position should be privileged. Using AlignRT, a clinical workflow for breast swelling follow-up was developed to help in the decision for repeat simulation and dosimetry. CONCLUSION: The surface deformation module provides an accurate, simple, and radiation-free approach to detect and quantify breast oedema during the course of radiotherapy. |
format | Online Article Text |
id | pubmed-8777118 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-87771182022-01-24 Benchmarking the AlignRT surface deformation module for the early detection and quantification of oedema in breast cancer radiotherapy Sorgato, Veronica Ghazouani, Khaoula Queffelec, Yann Julia, Frederic Clement, Sophie Fric, Daniele Farah, Jad Tech Innov Patient Support Radiat Oncol Virtual Special Issue on: Implementation and practice of surface-guided radiation therapy (SGRT); Edited by Mirjam Mast and Sophie Perryck PURPOSE: To determine the accuracy of AlignRT surface deformation module in detecting and quantifying oedema in breast cancer radiotherapy. MATERIALS AND METHODS: A female torso phantom and water-equivalent boluses of different thicknesses (0.5–1.5 cm) were used. The variation of surface displacement and the percentage of surface within tolerance, as a function of bolus thickness and Region of Interest (ROI) size, were investigated. Additionally, a dynamic phantom was used to study the impact of patient breathing on the swelling estimation. Lastly, a flowchart was derived to alert physicians in the case of breast swelling. RESULTS: Average displacement value proved to be inversely correlated with ROI size (R(2) > 0.9). As such, for a ROI smaller than the bolus size (2.5x2.5 cm(2)), the average displacement (1.05 cm) provides an accurate estimate of the oedema thickness (within 5%). In opposition, with a clinical ROI, the 1 cm-thick bolus was largely underestimated with an average displacement value of 0.28 cm only. To limit the impact of patient breathing on surface deformation, dynamic surface captures and the use of the corrected patient position should be privileged. Using AlignRT, a clinical workflow for breast swelling follow-up was developed to help in the decision for repeat simulation and dosimetry. CONCLUSION: The surface deformation module provides an accurate, simple, and radiation-free approach to detect and quantify breast oedema during the course of radiotherapy. Elsevier 2022-01-15 /pmc/articles/PMC8777118/ /pubmed/35079643 http://dx.doi.org/10.1016/j.tipsro.2021.12.002 Text en © 2022 The Authors. Published by Elsevier B.V. on behalf of European Society for Radiotherapy & Oncology. https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Virtual Special Issue on: Implementation and practice of surface-guided radiation therapy (SGRT); Edited by Mirjam Mast and Sophie Perryck Sorgato, Veronica Ghazouani, Khaoula Queffelec, Yann Julia, Frederic Clement, Sophie Fric, Daniele Farah, Jad Benchmarking the AlignRT surface deformation module for the early detection and quantification of oedema in breast cancer radiotherapy |
title | Benchmarking the AlignRT surface deformation module for the early detection and quantification of oedema in breast cancer radiotherapy |
title_full | Benchmarking the AlignRT surface deformation module for the early detection and quantification of oedema in breast cancer radiotherapy |
title_fullStr | Benchmarking the AlignRT surface deformation module for the early detection and quantification of oedema in breast cancer radiotherapy |
title_full_unstemmed | Benchmarking the AlignRT surface deformation module for the early detection and quantification of oedema in breast cancer radiotherapy |
title_short | Benchmarking the AlignRT surface deformation module for the early detection and quantification of oedema in breast cancer radiotherapy |
title_sort | benchmarking the alignrt surface deformation module for the early detection and quantification of oedema in breast cancer radiotherapy |
topic | Virtual Special Issue on: Implementation and practice of surface-guided radiation therapy (SGRT); Edited by Mirjam Mast and Sophie Perryck |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8777118/ https://www.ncbi.nlm.nih.gov/pubmed/35079643 http://dx.doi.org/10.1016/j.tipsro.2021.12.002 |
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